Virtual team

Last updated

A virtual team (also known as a geographically dispersed team, distributed team, or remote team [1] ) usually refers to a group of individuals who work together from different geographic locations and rely on communication technology [2] such as email, instant messaging, and video or voice conferencing services in order to collaborate. [3] [4] [5] [6] [7] The term can also refer to groups or teams that work together asynchronously or across organizational levels. [8] [9] Powell, Piccoli and Ives (2004) define virtual teams as "groups of geographically, organizationally and/or time dispersed workers brought together by information and telecommunication technologies to accomplish one or more organizational tasks." [10] As documented by Gibson (2020), virtual teams grew in importance and number during 2000-2020, particularly in light of the 2020 Covid-19 pandemic which forced many workers to collaborate remotely with each other as they worked from home. [11]

Contents

As the proliferation of fiber optic technology has significantly increased the scope of off-site communication,  there has been a tremendous increase in both the use of virtual teams and scholarly attention devoted to understanding how to make virtual teams more effective (see Stanko & Gibson, 2009; [12] Hertel, Geister & Konradt, 2005; [13] and Martins, Gilson & Maaynard, 2004 [6] for reviews). When utilized successfully, virtual teams allow companies to procure the best expertise without geographical restrictions, [14] to integrate information, knowledge, and resources from a broad variety of contexts within the same team, [15] and to acquire and apply knowledge to critical tasks in global firms. [16] [17] [18] According to Hambley, O'Neil, & Kline (2007), "virtual teams require new ways of working across boundaries through systems, processes, technology, and people, which requires effective leadership." [18] Such work often involves learning processes such as integrating and sharing different location-specific knowledge and practices, which must work in concert for the multi-unit firm to be aligned. [19] [20] [21] [22] Yet, teams with a high degree of "virtuality" are not without their challenges, [7] and when managed poorly, they often underperform face-to-face (FTF) teams. [12]

In light of the 2020 Covid-19 pandemic, many industries experienced a rapid and overnight transition to virtual work as a result of "social distancing." [11] However, some scholars have argued the phrase "social distancing" in reference to the practice of physical distancing between colleagues may have dangerous connotations, potentially increasing prejudice based on age or ethnicity, isolation due to limited options for interpersonal contact, and hopelessness, given the focus on prohibitions rather than solutions. [11] Today, most work teams have become virtual to some degree, though the literature has yet to incorporate the dynamic urgency of the pandemic and the impacts of rapid-fire learning of new technology and communication skills. [11]

Origins

The acceleration of digital technologies has allowed common, even synchronous activities to be distributed across employees at remote locations. [23] [24] These decentralized work arrangements were first named telework in the 1970s, defined as "work carried out in a location remote from the central offices or production facilities, where the worker has no personal contact with coworkers but is able to communicate with them electronically". [25] [26] Typically, the remote location is the home, though telework centers and remote offices are alternative locations. [27] [28] Since the introduction of home computers in the 1980s and laptops and mobile phones in the 1990s, increasing numbers of office workers have become able to work from different locations. [29] [25] Moreover, the shift from manufacturing to an information economy has expanded the number of jobs amenable to remote work. [29] Telecommuting is referred to as telework, remote work, distributed work, virtual work, flexible work, flexplace, and distance work, among other labels. [25]

Investigations of such flexible work locations began in earnest over 30 years ago (see Ramsower, 1983). [30] Distributed work and telecommuting have become widespread practices, growing steadily in the United States and abroad. [27] A 2002 study by the Gartner Group indicated that more than 60% of professional American employees worked in teams characterized by virtuality, [3] [31] and by 2012, nearly 3.3 million American workers telecommuted for at least half of the time. [32] Globally, an international survey of 254 senior-level executives revealed that staff in two thirds of their global firms were involved in distributed work. [33]

Early research heralded virtual teams as a promising design for integrating firms and taking maximum advantage of innovation-creating capabilities. [34] They were likewise touted as means to permit flexibility in the "where" of tasks, to allow workers to meet household needs, and to enable organizations to adapt work arrangements to changing environments and labor needs. [35] [36] [24] According to Gibson and Gibbs (2006: 453), the term "virtual" represents a wide variety of teams that are at least to some extent geographically dispersed (consisting of members spread across more than one location), mediated by technology (communicating using electronic tools such as e-mail or instant messaging), structurally dynamic (in which change occurs frequently among members, their roles, and relationships to each other), or nationally diverse (consisting of members with more than one national background). [3] Much of the literature has focused on the challenges of virtual teams, while few have identified their assets and benefits, identifying strategies by which to increase team effectiveness and satisfaction. [3] As technological ability and industry contexts are rapidly and continuously changing, virtual work represents a promising avenue of research as an ever-evolving, fundamental shift in how organizations have historically done business.

Defining Features

The four defining features of a virtual team – geographic dispersion, electronic dependence, national diversity, and dynamic structure – have unique effects and should be considered independently. [3] For example, although electronic dependence sometimes coincides with geographic dispersion, this is not always the case; teams in the same office may use e-mail to avoid the trip up to another floor, and teams in different countries may prefer to meet face-to-face infrequently rather than use video calls. As such, there is conceptual agreement that virtuality is a multidimensional higher-order construct. [4] [5] [6] [7] Rather than being dichotomous "on-off" conditions, these four features of virtuality each represent a continuum, and the degree of difference influences the strength of its effects. [37] [5] [6] These four factors will be explored in further detail below. Geographic dispersion refers to the degree of physical distance between team colleagues. A team that spans multiple continents is more dispersed than one whose participants are located in the same city, and this degree of dispersion in turn modulates the severity of outcomes. Electronic dependence refers to the degree of reliance on electronic tools such as e-mail or instant messaging for communications. [3]

National diversity refers to the number of different nationalities represented on the team. Virtual teams may consist of members of a single nationality (e.g. a software team split between the American East and West Coasts, but who all share American nationality or a global team of Germans who work in different countries, but all share German nationality). [38] Colleagues from different nations may bring different cultural values, mindsets, allegiances, and communication styles to the team. [39] [40] [41]

Dynamic structure/membership refers to how often members leave and join the team, and to how stable or changeable members’ roles are. [41] [38] Rather than having stable membership, many virtual teams are short-term and project-based, or involve frequent member turnover.

Framework for Processes

Overview

According to Gibson and Cohen (2003), the effectiveness of virtual teams is a function of enabling conditions, which are created and supported by managers and leaders, and do not work independently but rather in concert with one another through multiple performance strategies. [4] Multiple design and implementation factors help to create the conditions that support virtual team effectiveness. These factors include organizational context, team design, technology use, team member characteristics, and work and team processes. Virtuality amplifies the challenges faced by teams. As teams become more virtual, they confront greater uncertainty and complexity, increasing the difficulty of the information processing and sensemaking tasks they face. Likewise, the greater the number and depth of differences that need to be managed in virtual teams, the greater the barriers to effectiveness. These teams must be designed, supported, and led effectively to be successful. When they are well supported, virtual teams enable the best talent irrespective of location, capitalize on each organization’s unique competencies, and bring together people from different perspectives and knowledge bases, leading to higher levels of innovation. This orienting framework is explained in more detail below.

Enabling Conditions

For virtual teams to perform well, three enabling conditions must be established: (1) shared understanding about the team’s goals, tasks, work processes, and member characteristics; (2) integration or coordination across key organizational systems and structures; and (3) mutual trust in the team. [4]

Shared understanding is the degree of cognitive overlap and commonality in beliefs, expectations, and perceptions about a given target. Virtual teams need to develop a shared understanding about their goals, their tasks, how to achieve them, and what each team member brings to the team.

Integration is the process of establishing ways in which the parts can work together to create value, develop products, or deliver services. [42] The parts of the organization represented by virtual team members are likely to be highly differentiated in response to global competitive pressures and uncertain business environments, potentially hindering effective collaboration. Notably, the lower the level of integration, the greater the difficulty of developing shared understanding.

Mutual or collective trust is a shared psychological state that is characterized by an acceptance of vulnerability based on expectations of intentions or behaviors of others within the team. [43] [44] As members are geographically dispersed and often from different backgrounds, experiences, and cultures, trust is difficult to establish in virtual teams. Thus, it is how the team is designed and managed that creates enabling conditions.

Design Factors

There are a number of structures and systems which critically enable virtual team success. Design of a virtual team involves structuring the interactions; what kind of communication tools are used; how much face-to-face time will be possible, etc. These design factors fall into five categories: context, group structure, technology, people, and process.

First, those structures that comprise the organizational context include education and training, rewards, reviews such as performance evaluation systems, and selection. Second, the virtual team’s structure works to promote task accomplishment through goals, leadership, task design, and social structures. Third, information technology provides the infrastructure for virtual collaboration by allowing teams to communicate and coordinate their work. The challenge here is determining which technologies are appropriate for what tasks and when. Fourth, the people who work in virtual teams should possess certain capabilities to work effectively with others, such as sufficient task related knowledge and skills. Further, team members need to have a tolerance for ambiguity to deal with the unstructured communication that characterizes virtual teamwork. Finally, one’s team and work processes can help or hinder the creation of enabling conditions. This includes the creation of effectives means of communication, decision making, and conflict resolution by leaders and managers.

Virtuality and Degree of Differences

As explored above, Gibson & Cohen (2003) indicated that the relationship between design factors and enabling conditions is moderated by the degree of virtuality and degree of differences. [4] It follows that the greater the degree of virtuality and degree of differences, the more difficult it will be to establish supportive enabling conditions. The degree of virtuality includes the degree of electronic dependency and geographical dispersion, while the degree of differences includes the degree of variation in culture, language, organization, and function.

Outputs

The outputs of virtual work include all the things that result from the team’s work processes. These can be organized into two categories: business outcomes and human outcomes. Possible business outcomes are goal achievement, productivity, timeliness, customer satisfaction, organization learning, innovation, and cycle time. Possible human outcomes include team member attitudes such as commitment, satisfaction, and longevity, i.e., the capacity to work together in the future.

Often, these judgments of performance are subjective and depend on the team’s manager or other stakeholders in its social system. [4] Studies have found that effectiveness can increase the greater the virtuality of a team, but only when many of the features in the framework are in place. For example, teams which fostered a shared identity by communicating consistently, developing relationships, and openly acknowledging cultural differences were better able to harness the energy and commitment of members. [45] Such strong team identity may help to allow for constructive controversy [46] which enables the open sharing of views, knowledge and perspective coinciding with members’ identities. As Gibson and co-authors (2020) found, teams with high resilience, tolerance for ambiguity, and strong team identification experienced less intrapersonal identity conflict and therefore thrived more at work. [19] Likewise, formalization processes that help to establish the global team as a source of identity, such as implementing rules and procedures early on and clarifying team boundaries, increase knowledge sharing and thus improve team effectiveness. [47]

Gibson and her colleagues (2021) further found that virtual teams were more effective when they were able to recognize cues indicating when existing technologies had become constraints and strategically change their technology affordances to accommodate shifts in knowledge management activities. [45] Teams which used a "dynamic connection repertoire" to co-evolve their purpose and technology were highly successful, as opposed to teams which failed to shift to different technologies as task needs changed. [45]

Other studies have compared students working in purely virtual teams to purely face-to-face teams and found mixed results. [48] Tan et al. [49] found that teams which used their dialogue technique were more satisfied with decisions made in the team. One study found that a traditional team started out more satisfied than a virtual team. Then, in less than a year, the satisfaction of the virtual team rose and exceeded the satisfaction of the traditional team. [50] Women were more satisfied than men with virtual teams and were also more satisfied compared to women in face-to-face teams. [51] Team members that were more satisfied were more likely to have had training [52] and used more communication methods [53] compared to unsatisfied team members.

Types

The most common types of virtual teams include: [54]

1.     Networked teams

2.     Parallel teams

3.     Project development teams

4.     Work, production or functional teams

5.     Service teams

6.     Offshore ISD teams

7.     Global Virtual Teams

Networked teams

Generally, networked teams [55] are geographically distributed and not necessarily from the same organization. These teams are frequently created and just as frequently dissolved; they are usually formed to discuss specific topics where members from the area of expertise, possibly from different organizations, pitch their ideas in the same discussion. Depending on the complexity of the issue, additional members to the team may be added at any time. The duration these teams last may vary significantly depending on how fast or slow the issue is resolved. [54]

Parallel teams

Parallel teams are highly task oriented teams that usually consist of specialized professionals. While they are generally only required for short spans of time, unlike networked teams, they are not dissolved after completion of the tasks. The team may be either internal or external to the organization. [54]

Project development teams

Similar to parallel teams, these teams are geographically distributed and may operate from different time zones. Project development teams are mainly focused on creating new products, information systems or organizational processes for users and/or customers. These teams exist longer than parallel teams and have the added ability to make decisions rather than just make recommendations. Similar to networked teams, project development teams may also add or remove members of their team at any given time, as needed for their area of expertise. [54]

Work, production or functional teams

These teams are totally function specific where they only work on a particular area within an organization (i.e. finance, training, research, etc.). Operating virtually from different geographical locations, these teams exist to perform regular or ongoing tasks. [54]

Service teams

Service teams are geographically located in different time-zones and are assigned to a particular service such as customer support, network upgrades, data maintenance, etc. Each team works on providing the particular service in their daylight hours and at the end of day, work is delegated to the next team which operates in a different time zone so that there is someone handling the service 24 hours a day. [54]

Offshore ISD teams

Offshore ISD outsourcing teams are independent service provider teams that a company can subcontract portions of work to. [18] These teams usually work in conjunction with an onshore team. Offshore ISD is commonly used for software development as well as international R&D projects. [18]

Global virtual teams

Global Virtual Teams (GVT) are defined as "a group of workers, formally recognized by the organization as a team, with members from different countries who are collectively accountable for outputs across locations, and who utilize technology to some degree to accomplish their work". [45] These teams usually span multiple countries and excel at their ability to transfer best practices across sites, resulting in substantial improvements in operations. However, they may struggle with establishing effective communication which engenders trust and engages team members. [45]

Management

According to Maznevksi and Chudoba (2000), the life circle of virtual team management includes five stages: [56]

1.     Preparations

2.     Launch

3.     Performance management

4.     Team development

5.     Disbanding

Preparations

The initial task during the implementation of a team is the definition of the general purpose of the team together with the determination of the level of virtuality that might be appropriate to achieve these goals. Purpose is generally translated into certain action steps for people to on with a defined structure consisting of common goals, individual tasks and results. [57] A number of factors may affect the performance of members of a virtual team. For example, team members with a higher degree of focused attention and aggregate lower levels of temporal dissociation (or flow ) may have higher performance. Further, members with higher degrees of attention focus may prefer asynchronous communication channels, while those with low levels of flow may prefer synchronous communication channels. [58] These decisions are usually determined by strategic factors such as mergers, increase of the market span, cost reductions, flexibility and reactivity to the market, etc. Management-related activities taking place during the preparation phase include drafting a mission statement, personnel selection, task design, rewards system design, organizational integration, and choosing appropriate technologies for the tasks at hand. [59]

Launch

In many cases, at the beginning of virtual teamwork, members make a point to meet each other face-to-face. Crucial elements of such a "kick-off" workshop are getting acquainted with the other team members, clarifying the team goals, clarifying the roles and functions of the team members, information and training how communication technologies can be used efficiently, and developing general rules for the teamwork. As a consequence, "kick-off" workshops are expected to promote clarification of team processes, trust building, building of a shared interpretative context, and high identification with the team.

Getting acquainted, goal clarification and development of intra-team rules are also usually accomplished during this phase. Initial field data that compares virtual teams with and without such "kick-off" meetings confirm a general positive impact on team effectiveness, although more differentiated research is necessary. Experimental studies demonstrate that getting acquainted before the start of computer-mediated work facilitates cooperation and trust. [59]

Technology Agility

As soon as possible after launch, virtual teams must agree upon norms for technology use. Technology is essential to members’ interaction and communication. The electronic dependence integral to virtual work can however create logistical and technological constraints that limit informal spontaneous interacting and informal feedback, hindering knowledge interpretation and making corrective behavior more difficult. [60] [61] [62] [63] Therefore, team members must choose technology carefully, in order to offer the affordances needed at a given point in time, as each technology brings with it a number of affordances as well as constraints for interaction. [45] An affordance is a purpose for use, and technology affordances refer to the mutually supportive relationship between human-endowed purposes to an activity and the technology use. [19] Importantly, the need for certain affordances change over time as teams’ tasks evolve. Gibson and her colleagues (2021) found that teams which were the most successful in progressing across different knowledge management activities used a "dynamic connection repertoire", [45] which is symbiotic with the nature of the task as it evolves over time. Rather than keeping a static technology repertoire, teams which co-evolved their purpose and technology affordances were better able to sustain effectiveness. [64] A series of psychosocial cues were identified by Gibson and her colleagues, which signal the need to shift to different technologies, because the current technology use is failing to meet the teams’ needs.  These cues pertained to how well information was being shared and understood by all team members, and the extent to which members were engaged in the team. Technologies which allow for higher media richness, such as video and screen-sharing, can help reduce inconsistencies in context and make communication more personal and effective. [19]

Performance Management

As time progresses in a virtual team, work effectiveness and a constructive team climate also have to be maintained using performance management strategies, such as those associated with leadership, conflict within virtual teams, and team members' motivation. [59]

Leadership is a central challenge in virtual teams, as direct control is difficult when team managers are not at the same location as the team members. As a consequence, delegative management principles are considered that shift parts of classic managerial functions to the team members. However, team members only accept and fulfill such managerial functions when they are motivated and identify with the team and its goals, which is typically more difficult to achieve in virtual teams.Empirical research summarizes three leadership approaches that differ in the degree of team member autonomy: (1) electronic monitoring as an attempt to realize directive leadership over distance, (2) management by objectives (MBO) as an example for delegative leadership principles, and (3) self-managing teams as an example for rather autonomous teamwork. [59]

With regard to conflict, predominant research issues have been conflict escalation and disinhibited communication ("flaming"), the fit between communication media and communication contents, and the role of non-job-related communication. [59] One of the important needs for successful conflict resolution is the ability to have every member of the group together repeatedly over time. Effective dispersed groups show spikes in presence during communication over time, while ineffective groups do not have as dramatic spikes. [65]

For the management of motivational and emotional processes, three groups of such processes have been addressed in empirical investigations so far: motivation and trust, team identification and cohesion, and satisfaction of the team members. Since most of the variables are originated within the person, they can vary considerably among the members of a team, requiring appropriate aggregation procedures for multilevel analyses (e.g. motivation may be mediated by interpersonal trust [66] ). [59]

Team Development

The success and satisfaction of virtual teams can be supported by personnel and team development interventions. The development of such training concepts should be based on an empirical assessment of the needs and/or deficits of the team and its members, and the effectiveness of the trainings should be evaluated empirically. [67] The steps of team developments include assessment of needs/deficits, individual and team training, and evaluation of training effects. [59] Assessing behaviors of the team members to identify behavioral cues may improve virtual team dynamics and increase team productivity. Behaviors may be assessed through DiSC assessments. [68]

Virtual teams have become more pertinent due to Covid-19. For managers, some of the ways to foster virtual team growth and success include monitoring trust levels, focusing on communication improvements, fostering inclusion via emotional safety within a group, and actively discussing teamwork with the group frequently. [69]

Disbanding and Re-integration

Finally, while some teams remain ongoing and continue with new tasks or members, some virtual teams with shorter time frames go through a phase of disbanding and reintegration, during which members return to in-person offices or join other virtual projects. This disbanding and reintegration of team members is an important issue that has been neglected in both empirical and conceptual work on virtual teams. When virtual project teams have a short life cycle and reform again quickly, careful and constructive disbanding is crucial in order to maintain high motivation and satisfaction among employees. Members of transient project teams anticipate the end of the teamwork in the foreseeable future, which in turn can overshadow interaction with other team members and shared outcomes. The final stage of group development should be a gradual emotional disengagement that includes both sadness about separation and (in successful groups) joy and pride in the achievements of the team. [59]

Strengths of Virtual Teams

Team Composition

Virtual teams may help to create a more equal workplace, discouraging age, race, and disability discrimination by forcing individuals to interact with others whose differences challenge their assumptions. Physically disadvantaged employees are also able to participate more in teams where communication is virtual, where they may not have previously been able to due to physical limitations of an office or other workspace. [70] Virtual teams also create a more accessible workplace for those who care for children or other family members, or workers who prefer flexible work arrangements for a wide range of reasons. By enabling more flexible and equal working conditions, virtual teams significantly expand the pool of available expertise, thereby allowing firms to acquire the best possible candidates.

Moreover, virtual teams’ use of communication technologies also helps to mitigate some problems of cultural diversity. [71] For instance, email as a medium of communication does not transfer accents and carries fewer noticeable verbal language differences than voice communication. Cultural barriers are not removed from the team, but are instead shielded from view in situations where they are irrelevant. In fact, simply understanding team diversity and accommodating it can strengthen the relationship between team members of different cultures. [45]

Innovation

When managed effectively, virtual teams can be highly effective in promoting innovation, creativity, and participation. For example, in Gibson and Gibbs’ (2006) study of design team innovation, teams were more innovative as virtuality increased when they had a psychologically safe communication climate. [3] Because a company is able to recruit from a larger pool of employees when using virtual teams, a growing amount of talent and distributed expertise is obtainable without the employee traveling often. The use of virtual teams also allows employees to participate in multiple projects within the company that are located on different sites. [70] This in turn helps the company by allowing them to reuse existing resources so that they are not required to hire a new employee to do the same job.

Chidambaram and Bostrom (1993) found that virtual teams generate more ideas compared to traditional teams. [72] Part of this effect can be attributed to cultural diversity, which has been shown to positively impact group decision-making. [71] Combined with collaborative conflict management, groups of individuals from different cultural perspectives are more likely to actively participate in group decision making. [73] The differing backgrounds and experiences of these group members also encourage creativity and create conflicting viewpoints, which make it more likely that multiple options are explored and considered.

Geographic Reach

Multinational organizations often deploy global teams which span various national locations to serve as mechanisms for coordinating core operations across geographical and cultural boundaries. [19] [74] These virtual teams help to enhance knowledge sharing and integration across company locations, thereby expanding the geographic reach of firm operations at relatively low cost. [75] Virtual teams further boost firms’ ability to identify and transfer best practices across locations, resulting in a substantial improvement to the operational efficiency of each site while preventing any one site from "re-inventing the wheel". [45]

National Diversity

Though national diversity may sometimes lead to conflicts and poor internal communication among team members due to differing ideas of a team and its operation, [76] when managed correctly, virtual teams enable firms to take advantage of diverse and creative viewpoints. Notably, virtual teams are susceptible to intrapersonal identity conflict and struggle to develop a shared team vision due to strong identification with subgroups. [77] [78] [79] [80] [3] Yet, these coordination problems and obstacles to effective communication may be solved by actively understanding and accepting differences in cultures. [81] A multi-country study, based on the GLOBE culture model conducted by Gibson and Gibbs (2006), found that virtual communication environments were experienced differently by people from different cultures. [3] The culture dimension individualism-collectivism was most strongly and very significantly related to how positively or negatively team members experienced videoconferences and telephone conferences, compared to face-to-face meetings. People from collectivistic societies showed a stronger preference for face-to-face meetings and evaluated virtual meetings more negatively compared to people from more individualistic societies. [82]

However, Haas (2006) discovered that a mix of locals and cosmopolitans was optimal for global virtual team performance. [83] Research examining product development efforts in over 20 firms [84] [85] [86] has shown that when diverse members of project teams combined their perspectives in a highly iterative way to improve integrated information flow, they were more innovative. [3] This is echoed by Gibbs and Gibson’s 2006 study which established that a psychologically safe communication climate where members feel comfortable asking questions can help bridge national differences, reduce ingroup/outgroup bias, and resolve conflicts, as teams who communicate openly are more likely to develop a common frame of reference and shared mental model. [87] Ultimately, the exchange of diverse perspectives and information among global team members has been found to improve team and organizational performance through the generation of better knowledge sharing and higher quality solutions. [88] [89] [75] [90]

Reduction in Relocation and Travel

Virtual teams can save travel time and cost, significant expenses for businesses with multiple locations or having virtual clients located in multiple places. They also reduce disruption in the normal workday by not requiring an individual to physically leave their workspace. [70] This improved efficiency can directly translate to saved costs for a company.

Strategies to Mitigate Challenges of Virtual Work

Despite the improvement in telecommunication to overcome distance as an obstacle for collaboration, working in separate locations still increases the odds that people are not on common ground, and are not aware of it. Common ground, shared mutual knowledge, is an important element to successful communication and coordinated activity. Working separately and communicating through technology makes it more difficult to detect and resolve misunderstandings from a lack of common ground. [91] As such, virtual teams often require a longer time to reach decisions. [92]

However, virtual work has implications for relational impoverishment at work due to lower frequency of face-to-face interactions and lowered richness of communication. [93] [94] One major hurdle in drawing definitive conclusions is that studies of this innovation appear in dispersed literatures including information systems, logistics, industrial relations, psychology, operations, real estate, management, [95] attracting the interest of scholars in multiple disciplines. [24] Findings regarding challenges are presented below, but it is important to note that many mainstream models, largely developed with face-to-face workers in mind, often fail to account for the way telecommuters and virtual workers have challenged traditional labor structures. [96]

Technology and Common Ground

When team members are highly dispersed, members are embedded in different external contexts and thus have less shared contextual knowledge, leading participants to take for granted common knowledge. [97] [98] Sole and Edmondson (2002) call this "situated knowledge," [17] finding evidence that the majority of conceptual misunderstandings resulted from lack of awareness of or failure to appropriate such knowledge. [3] Such lack of mutual knowledge of each other’s situations increases coordination problems in acquiring knowledge and resources. [3] [99] Transactive memory is difficult to establish in virtual teams as it is often not transferred to new members, contextual knowledge is not kept or well-documented, and communication is indirect or infrequent. Development of this type of common ground is particularly difficult in virtual teams which are structurally dynamic or experience high turnover, [41] as teams with a short history together tend to lack effective patterns of information sharing and working together, [100] limiting the amount and variety of information that can be communicated across team members. [3]

One way to develop common ground in virtual teams is to develop a psychologically safe communication climate which acts as a moderating variable that can overcome mistrust and turn the team’s fluid membership into a source of new ideas and expertise. [3] [85] [101] A supportive communication climate includes variables such as participation in decision-making, [102] encouraging members to speak up, raising differences for discussion, engaging in spontaneous and informal communication, providing unsolicited information, remaining open to new ideas and perspectives, and bridging differences by suspending judgment. [3] This helps to create trust and reduce perceptions of risk and uncertainty about members’ motives, in turn creating incentives to build a shared history. [103] [104]

Another way to develop common knowledge rests on managers’ ability to act as politicians to manage the power dynamic inside and outside the team. [3] This may reduce members’ hesitancy to share information, leading to enhanced innovation. [85] [101] A study by Gibbs and her colleagues (2021) indicates that managers can also bridge imbalances in situated knowledge during meetings by discussing trivial topics and surfacing taken-for-granted assumptions as a way to elicit differing opinions and hidden knowledge. [105] In one instance, a manager increased dialogue among team members by deliberately refraining from giving people answers in order to encourage them to cooperate and co-create knowledge. [105] Though more difficult than in collocated teams, careful management and co-presence strategies can successfully establish common ground among members of a virtual team.

Uneven Distribution of Information

Errors in the distribution of messages are more common in technology than face-to-face interaction, leading to a lack of common ground. [91] When digital technology replaces face-to-face communication, it is often difficult to keep track of the messages that have been both sent and received by a receiver and vice versa. [91] For instance, if collaborators have two email addresses, a primary and a secondary one, some messages may be sent by the server to the primary addresses and some to the secondary addresses, leading to information loss and confusion among team members. Intimacy is further threatened as perceived electronic mediation increases because such mediation leads to uneven information transfer and coordination challenges and reduces the amount of informal interaction, as the number of casual encounters and unplanned conversations is much higher among collocated colleagues. [106] [37]

Simultaneously, differences in native language and status- the "prestige, esteem, worth, or relative social position of an individual or group" [107] - inhibit open dialogue [108] and can lead to uneven participation, one-way flows of knowledge, and exclusion. [105] These status differences are subjective and socially constructed through interpersonal processes of stratification that play out in both verbal and nonverbal communication. [105] Consequently, teams which foster an open dialogic environment through conversational turn-taking, active listening, and energy-enhancing practices achieve better participation and overcome status differences, in turn boosting collective intelligence [109] and limiting miscommunications. [105]

Strategies to mitigate uneven distribution of information include structure-enabling practices which promote equal participation, such as regular calls, clear agendas established in advance of meetings, rotating presentations to give voice to lower-status members, and post-call follow ups to ensure a sense of role clarity and predictability. [110] Furthermore, fostering knowledge repositories which seek to not only create new knowledge but record and catalogue existing knowledge helps to mitigate uneven information distribution and facilitate ongoing knowledge transfer. [105] Managers can make a big difference in team participation by establishing dialogic practices which build rapport and trust, strengthen team communication and participation, and invite input from everyone. [111] These practices help to bridge status differences and ensure team members are on the same page.

Differences in What Information is Salient

Computer-mediated communication (CMC) reduces nonverbal cues about interpersonal affections such as tone, warmth, and attentiveness, which contribute to message clarity and communication richness, and collaborators who use CMC often use more direct styles of communication with fewer social cues than those in face-to-face conditions. [112] Zhao (2003) found that communicators use physical and linguistic "co-presence"- the subjective perception of closeness versus distance to make inferences about one another’s knowledge. [113] Virtual workers are likely to have reduced contact and exposure to strong organizational structures and processes (including organizational dress, symbols, rituals, and ceremonies) that typically foster organizational identification. [114] [37] Difficulty in interpreting knowledge reduces experimentation, which may impact the improvisation processes vital to engendering innovation. [115] [3]

In face-to-face interaction, the speaker makes the importance of a message known through tone of voice, facial expression, and bodily gestures. The receiver may acknowledge understanding through exact feedback called "back-channel" communication, such as head nods, brief verbalizations like "yeah" and "okay," or smiles. These methods of emphasis and feedback ensure parties are on common ground. However, these methods are often lost in digital means of communication. For example, in an e-mail exchange, the point of the message as intended by the sender may be overlooked, misinterpreted, or given different priority. Furthermore, messages met with silence are highly ambiguous and can act as a barrier to establishing common ground. For instance, silence can be due to technical problems within the technology that mediates the parties involved in communication, or it can be due to the fact that one of the partners is out of town and cannot reply to the message. Silence can also be taken in many ways, as agreement, disagreement, passive aggression, and indifference, or in the case of dispersed groups, that the message was undelivered. Silence may lead to conflict because it blurs the notion of what is known and unknown in the group, signaling the absence of common ground. [91] Fully implementing "back-channel" communication can be time-consuming. The lack of convenient cues in digital communication make dispersed collaboration less conducive for the establishment of mutual knowledge. [91]

The challenges presented by electronic dependence may be mitigated through the use of technologies allowing for higher media richness, which help to provide context and nuance in virtual communications. [116] [113] Remote collaborations may be enhanced by co-presence design or the development of tools to enhance perceived co-presence such as online avatars or added conference call features like visual representation, turn taking, or private chat. [113] [37] Further, Maznevski and Chudoba (2000) found that developing predictable temporal rhythms of technology and routines of media usage improved close working relationships. [59]   Subsequent research has also highlighted the importance of co-presence for  psychological well-being and productivity. [117]

Moreover, practices such as informal conversations among colleagues, virtual "water cooler chat," personal introductions, and discussions on trivial topics help to build connectedness and trust among virtual teams. [105] For instance, many companies during the Covid-19 pandemic introduced 1:1 buddies, virtual coffee breaks, and digital town halls in order to increase co-presence and team identification. [11] Team members who trust one another are more likely to ask follow-up questions for clarification, avoid snap judgments born out of miscommunication, and accept others’ advice and information. [105] This in turn reduces the challenges associated with lost social cues during digital communication.

Differences in Speed, Timing, and Responsiveness

Speed and timing of communication is inevitably not as uniformed in digital communication as it is in face-to-face interaction. This is due to the fact that some parties have more restricted access to communication than others. The differences in relative speed and timing of feedback and conference calls are aggravated by differences in time zones, which can sharpen status differences and bolster resentment from sidelined locations.  One part of the team on one side of the world may be asleep during another part’s normal workday, and the group has to work around this. These issues may be ameliorated by alternating night and morning calls for each location, having two separate meetings for different zones, or asking certain locations to participate in calls at unusual hours. [45]

In some cases, the problems arising from differences in relative speed may be attributed instead to a lack of conscientiousness on the part of the slower partners. In fact, a fluctuating feedback cycle is more destructive than a uniformed feedback cycle of a slower pace. [91] Further, McLarnon et al. (2019) uncovered that regular feedback exchanges demonstrated a more substantial indirect effect on team performance than scenarios where feedback was only provided post-project or obtained weekly without distribution to peers. Consequently, establishing a structured system for regular peer feedback can significantly enhance intra-team processes and overall functionality within virtual teams. [118]  Asynchronous communication tends to be more difficult to manage and requires much greater coordination than synchronous communication. As Gibson et al. (2011) found, developing consistent, time-patterned routines of communication may help to build close working relationships. [37] Technology affordances such as a public forum where team members can post and reply to questions may also encourage timely responses and enhance ongoing knowledge transfer. [45]

In other instances, low responsiveness stems from cultural norms which dictate how quickly workers are expected to respond and when they can be reached. For example, one study found that Western Australians may express a "can do" attitude and a direct communication style while Jamaicans tend to be more conflict-avoidant in organizational settings and have a more fluid orientation to time. [45] These cultural differences play an important role in how power and status differences are fostered and how they impact participation in teams. [90] Rather than "sweeping them under the rug," it is important to acknowledge differences in culture or opinion so they can be addressed through adaptation and agreeable solutions. [45]   Shared norms which bridge the differences can help resolve potential conflicts in preferences.

Virtual teams have also historically highlighted a generational gap, as many older executives and senior managers do not have as much experience with computer technology as their younger counterparts. [119] [70] These senior members must then exert extra energy to catch up to the younger generation and navigate new means of communicating. This difficulty is less pertinent today, as most workers have some level of fluency with digital media and firms often provide training to equalize workers’ knowledge of communication tools.

Emerging Issues

Covid-19 Pandemic

As a result of the Covid-19 pandemic, the virtual dimension of teamwork has gained greater prominence everywhere from social media to academic scholarship. [11] [45] Research on remote work has largely focused on outcomes differentiating between individuals who do and do not engage in remote work. [120] However, as Zhang, Yu and Marin (2021) point out, during the Covid-19 pandemic, many employees were forced to work remotely. The beginning of the pandemic was marked by a rapid transition to virtual work, closures of traditional workspaces, physical distancing requirements, difficulties distributing technology and adapting to at-home work conditions, and feelings of isolation and hopelessness among newly virtual employees. [121] [11]

Within this, the employee satisfaction and health outcomes associated with virtual work, largely neglected by pre-pandemic literature, have quickly come to the forefront of management research. Pre-pandemic studies found that the high levels of perceived electronic dependence and lack of copresence which often accompany virtual work can negatively affect critical psychological states of experienced meaningfulness, experienced responsibility, and knowledge of results. [122] Likewise, while a supportive communication climate predicts satisfaction and commitment [123] and includes variables such as participation in decision-making and communication openness, [102] these factors are more difficult to establish in virtual settings. Thus, satisfaction among the team members of a virtual team has been shown to be less positive than satisfaction among face-to-face teams. This drop in satisfaction is due in part to difficulties building trust without face-to-face communications, [124] a necessary part of high-performing virtual teams. [125] However, effective management and adherence to proper goal setting principles specific to the nature of work virtual teams require can lead to improved team effectiveness. [124] If a team and its corresponding management is not prepared for the challenges of a virtual team, this will be difficult to achieve.

Recent research by Zhang, Yu, and Marin (2021: 802) discovered that workers had a generally positive attitude towards working at home, citing the availability of collaboration and communication tools, increased productivity, and remote learning and flexible work hours. [120] Conversely, workers frequently complained that long hours of teleconferencing could be draining, individuals’ capacity to work remotely was impeded by suboptimal home office setups, information-sensitive work was susceptible to cyber-security attacks, and that decentralized set-ups harmed work team engagement. [120] While some workers experienced improved work-life balance due to spending more time with family, others reported their work-life balance was harmed due to difficulties maintaining the boundary between family and work. [120]

Care in Connecting

Rather than "social distancing," Gibson (2020) proposes the approach Care in Connecting, which acknowledges the need for caution in terms of physical proximity, but also promotes the urgent need for compassion that individuals and organizations provide and receive. Care in Connecting centers around three principles which counter the prejudice, isolation, and hopelessness associated with social distancing: inclusion, copresence, and vitality. [11]

Care in Connecting creates inclusion when diverse voices are heard and incorporated online. A number of scholars addressing inclusion [126] [19] [127] and intercultural collaboration [128] [129] [74] [130] have revealed the importance of recognizing the uniqueness of individual constituents while also cultivating a sense of belonging to a collectivity. Research shows that members who identify with their team are more likely to display desirable individual workplace outcomes such as helping behavior, organizational citizenship behavior, lowered social undermining and social loafing, lessened workplace bullying, and fewer turnover intentions. [131] [19] [132] [133] [134] [135] [136] [137] [138] [139] [140] [141] [142] Organizations prioritizing inclusion during the pandemic have adopted approaches including overtime pay, unlimited sick days, paid leaves of absence, free trials of higher education to help connect job seekers to opportunities, and donated medical supplies. [11] These inclusionary practices involve understanding employees’ unique experiences and avoiding assumptions, stereotypes, and grand generalizations. [11]

Care in Connecting also creates co-presence, the experience of psychological proximity achievable online, to counteract feelings of isolation felt as a result of social distancing [11] (Gibson, 2020: 166). Key to virtual team effectiveness is the team’s ability to understand which tool is most effective given the task and to selectively tailor combinations of technology to achieve copresence. [37] [45] Many organizations have sought to implement new practices during the pandemic to build a sense of copresence by ensuring access to technology and establishing the human element. Examples include purchasing laptops and audio equipment for workers, loaning tablets to students, implementing virtual coffee breaks or lunches, inviting workers’ children to join meetings, and promoting opportunities to connect as human beings. [11]

Finally, Care in Connecting can enable vitality, a sense of psychological and physical energy, to address the sense of hopelessness engendered by social distancing. [11] A significant body of research indicates that people both mimic and feel the emotions displayed by others and can receive and experience energy from interpersonal interactions. [11] [143] [144] [145] [146] [147] [148] [149] [150] [151] [152] [153] Organizations which provided examples of positivity and resilience in online interactions were able to spark positive emotional contagion and increased vitality. Many organizations communicated simple messages of care and composure, offered morning meditation sessions, allowed pets on screen for relaxation, conducted online yoga and fitness sessions, and sent out care packages to employees. [11]

Emerging Research

There is still much unknown about the impact of Covid-19 on virtual teamwork, particularly in how employees will respond in the long-term to the blurring of public and private space and how the reorganization of reopened sites will unfold. [45] [11] Emerging research suggests that returning to work in the "new normal" after being out of work or teleworking to some capacity creates issues with employee focus, engagement, and mental reattachment to upcoming work. [154] Furthermore, Shao et al. (2021) argue that workers’ newfound flexibility in working from home or at the office is impacted by stressors they encountered on the previous day. [155] This research has implications for understanding the driving factors of daily work location choices, and how telework will unfold in a post-Covid world.

Another research concern centers on the nonnegligible chance of community transmission in the workplace which poses a threat to returning workers. [154] While many workplaces shut down following the onset of the Covid-19 pandemic, others in essential industries had to remain operational, thus exposing employees to virus dangers. [156] However, firms varied significantly in the degree to which they took action to protect their employees. Steinbach, Kautz and Korsgaard (2021) found that these firm compensation actions were associated with a growth in positive stakeholder sentiment. [156] The reintegration of workers into face-to-face work settings has also launched academic debate on privacy and ethical concerns surrounding mandatory vaccination requirements and/or weekly testing. While our knowledge of online collaboration has yet to incorporate the dynamic urgency created by the pandemic, it is very likely that closures of traditional workplaces, physical distancing requirements, and the difficulties firms face reopening sites will fundamentally shift research on virtual work.

See also

Related Research Articles

Industrial and organizational psychology "focuses the lens of psychological science on a key aspect of human life, namely, their work lives. In general, the goals of I-O psychology are to better understand and optimize the effectiveness, health, and well-being of both individuals and organizations." It is an applied discipline within psychology and is an international profession. I-O psychology is also known as occupational psychology in the United Kingdom, organisational psychology in Australia and New Zealand, and work and organizational (WO) psychology throughout Europe and Brazil. Industrial, work, and organizational (IWO) psychology is the broader, more global term for the science and profession.

Virtual management is the supervision, leadership, and maintenance of virtual teams—dispersed work groups that rarely meet face to face. As the number of virtual teams has grown, facilitated by the Internet, globalization, outsourcing, and remote work, the need to manage them has also grown. The challenging task of managing these teams have been made much easier by availability of online collaboration tools, adaptive project management software, efficient time tracking programs and other related systems and tools. This article provides information concerning some of the important management factors involved with virtual teams, and the life cycle of managing a virtual team.

<span class="mw-page-title-main">Team</span> Group linked in a common purpose

A team is a group of individuals working together to achieve their goal.

<span class="mw-page-title-main">Remote work</span> Employees working from any location

Remote work is the practice of working from one's home or another space rather than from an office.

<span class="mw-page-title-main">Team building</span> Term for activities used to enhance social relations and define roles within teams

Team building is a collective term for various types of activities used to enhance social relations and define roles within teams, often involving collaborative tasks. It is distinct from team training, which is designed by a combination of business managers, learning and development/OD and an HR Business Partner to improve the efficiency, rather than interpersonal relations.

Organizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as it gains experience. From this experience, it is able to create knowledge. This knowledge is broad, covering any topic that could better an organization. Examples may include ways to increase production efficiency or to develop beneficial investor relations. Knowledge is created at four different units: individual, group, organizational, and inter organizational.

<span class="mw-page-title-main">Knowledge transfer</span> Sharing knowledge for problem solving

Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. The particular profile of transfer processes activated for a given situation depends on (a) the type of knowledge to be transferred and how it is represented and (b) the processing demands of the transfer task. From this perspective, knowledge transfer in humans encompasses expertise from different disciplines: psychology, cognitive anthropology, anthropology of knowledge, communication studies and media ecology.

A virtual organization is a temporary or permanent collection of geographically dispersed individuals, groups, organizational units, or entire organizations that depend on electronic linking in order to complete the production process. Virtual organizations do not represent a firm’s attribute but can be considered as a different organizational form and carries out the objectives of cyber diplomacy.

Collaborative learning is a situation in which two or more people learn or attempt to learn something together. Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills. More specifically, collaborative learning is based on the model that knowledge can be created within a population where members actively interact by sharing experiences and take on asymmetric roles. Put differently, collaborative learning refers to methodologies and environments in which learners engage in a common task where each individual depends on and is accountable to each other. These include both face-to-face conversations and computer discussions. Methods for examining collaborative learning processes include conversation analysis and statistical discourse analysis.

Media richness theory (MRT), sometimes referred to as information richness theory, is a framework used to describe a communication medium's ability to reproduce the information sent over it. It was introduced by Richard L. Daft and Robert H. Lengel in 1986 as an extension of information processing theory. MRT is used to rank and evaluate the richness of certain communication media, such as phone calls, video conferencing, and email. For example, a phone call cannot reproduce visual social cues such as gestures which makes it a less rich communication media than video conferencing, which affords the transmission of gestures and body language. Based on contingency theory and information processing theory, MRT theorizes that richer, personal communication media are generally more effective for communicating equivocal issues in contrast with leaner, less rich media.

A collaborative innovation network (CoIN) is a collaborative innovation practice that uses internet platforms to promote communication and innovation within self-organizing virtual teams.

Virtual collaboration is the method of collaboration between virtual team members that is carried out via technology-mediated communication. Virtual collaboration follows the same process as collaboration, but the parties involved in virtual collaboration do not physically interact and communicate exclusively through technological channels. Distributed teams use virtual collaboration to simulate the information transfer present in face-to-face meetings, communicating virtually through verbal, visual, written, and digital means.

Media naturalness theory is also known as the psychobiological model. The theory was developed by Ned Kock and attempts to apply Darwinian evolutionary principles to suggest which types of computer-mediated communication will best fit innate human communication capabilities. Media naturalness theory argues that natural selection has resulted in face-to-face communication becoming the most effective way for two people to exchange information.

Cross-cultural psychology attempts to understand how individuals of different cultures interact with each other. Along these lines, cross-cultural leadership has developed as a way to understand leaders who work in the newly globalized market. Today's international organizations require leaders who can adjust to different environments quickly and work with partners and employees of other cultures. It cannot be assumed that a manager who is successful in one country will be successful in another.

Team composition refers to the overall mix of characteristics among people in a team, which is a unit of two or more individuals who interact interdependently to achieve a common objective. It is based on the attributes among individuals that comprise the team, in addition to their main objective.

Channel expansion theory (CET) states that individual experience serves as an important role in determining the level of richness perception and development towards certain media tools. It is a theory of communication media perception that incorporates experiential factors to explain and predict user perceptions of a given media channel. The theory suggests that the more knowledge and experience users gain from using a channel, the richer they perceive the medium to be. The more experience, the more stable the knowledge base the person builds, the more knowledge he gains from the given media channel, thus the richer communication he would have using that channel, and ultimately the richer he would perceive the channel. There are four experiential factors that shapes individual's perceived media richness: experience with the channel, experience with the message topic, experience with the organizational context, and experience with a communication partner.

Psychological safety is the belief that one will not be punished or humiliated for speaking up with ideas, questions, concerns, or mistakes. In teams, it refers to team members believing that they can take risks without being shamed by other team members. In psychologically safe teams, team members feel accepted and respected contributing to a better "experience in the workplace". It is also the most studied enabling condition in group dynamics and team learning research.

Swift trust is a form of trust occurring in temporary organizational structures, which can include quick starting groups or teams. It was first explored by Debra Meyerson and colleagues in 1996. In swift trust theory, a group or team assumes trust initially, and later verifies and adjusts trust beliefs accordingly.

<span class="mw-page-title-main">Team effectiveness</span> A teams ability to accomplish their goals or objectives

Team effectiveness is the capacity a team has to accomplish the goals or objectives administered by an authorized personnel or the organization. A team is a collection of individuals who are interdependent in their tasks, share responsibility for outcomes, and view themselves as a unit embedded in an institutional or organizational system which operates within the established boundaries of that system. Teams and groups have established a synonymous relationship within the confines of processes and research relating to their effectiveness while still maintaining their independence as two separate units, as groups and their members are independent of each other's role, skill, knowledge or purpose versus teams and their members, who are interdependent upon each other's role, skill, knowledge and purpose.

In computer supported brainstorming, team members contribute their ideas through electronic means either synchronously or asynchronously. The brainstorming software selected by the team mediates the individual interactions and helps to organize and shape the products of the brainstorming session. Computer supported brainstorming can be implemented using a wide variety of electronic technologies.

References

  1. Nevogt, Dave. "No Excuses: The Definitive Guide to Building a Remote Team: Table of Contents". Hubstaff . Retrieved 21 June 2013.
  2. Lipnack, Jessica (2000) [1997]. Virtual Teams: People Working Across Boundaries with Technology. John Wiley & Sons. pp.  352. ISBN   978-0471388258.
  3. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Gibson, Cristina B.; Gibbs, Jennifer L. (September 2006). "Unpacking the Concept of Virtuality: The Effects of Geographic Dispersion, Electronic Dependence, Dynamic Structure, and National Diversity on Team Innovation". Administrative Science Quarterly. 51 (3): 451–495. doi:10.2189/asqu.51.3.451. ISSN   0001-8392. S2CID   10856839.
  4. 1 2 3 4 5 6 Gibson, C. B., and S. G. Cohen (2003). Virtual Teams That Work: Creating Conditions for Virtual Collaboration Effectiveness. San Francisco: Jossey-Bass.
  5. 1 2 3 Griffith, Terri L.; Sawyer, John E.; Neale, Margaret A. (2003). "Virtualness and Knowledge in Teams: Managing the Love Triangle of Organizations, Individuals, and Information Technology". MIS Quarterly. 27 (2): 265–287. doi:10.2307/30036531. ISSN   0276-7783. JSTOR   30036531.
  6. 1 2 3 4 Martins, L. L., L. L. Gilson, and M. T. Maynard 2004 "Virtual teams: What do we know and where do we go from here?" Journal of Management, 30: 805–835.
  7. 1 2 3 Kirkman, Bradley L.; Mathieu, John E. (2005-10-01). "The Dimensions and Antecedents of Team Virtuality". Journal of Management. 31 (5): 700–718. doi:10.1177/0149206305279113. ISSN   0149-2063. S2CID   993996.
  8. Ale Ebrahim, Nader; Ahmed, Shamsuddin; Taha, Zahari (2009). "Virtual R&D Teams in Small and Medium Enterprises: A Literature Review". Scientific Research and Essays. 4 (13): 1575–1590. SSRN   1530904.
  9. Vlaar, P (2008). "Co Creating Understanding And Value In Distributed Work". MIS Quarterly. 32 (2): 227–255. doi:10.2307/25148839. JSTOR   25148839.
  10. Anne Powell, Gabriele Piccoli, and Blake Ives. Virtual teams: a review of current literature and directions for future research. The DATA BASE for Advances in Information Systems - Winter Vol. 35, issue 1, 2004
  11. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Gibson, Cristina (2020). "From "Social Distancing" to "Care in Connecting": An Emerging Organizational Research Agenda for Turbulent Times". Academy of Management Discoveries. 6 (2): 165–169. doi:10.5465/amd.2020.0062. S2CID   218780744.
  12. 1 2 Stanko, T. L., C. B. Gibson. 2009. Virtuality here and now: The role of cultural elements in virtual teams. R. S. Bhagat, R. M. Steers, eds. Cambridge Handbook of Culture, Organization, and Work. Cambridge University Press, Cambridge, UK, 272–304.
  13. Hertel, G., Geister, S., & Konradt, U. (2005). Managing virtual teams: A review of current empirical research. Human Resource Management Review, 15(1), 69–95.
  14. Kirkman, B. L., B. Rosen, C. B. Gibson, P. E. Tesluk, and S. O. McPherson (2002). "Five challenges to virtual team success: Lessons from Sabre, Inc." Academy of Management Executive, 16 (3): 67–79.
  15. Kirkman B. L., Gibson C. B., & Kim K. (2012) Across borders and technologies: Advancements in virtual teams research. Kozlowski SW, eds. Oxford Handbook of Industrial and Organizational Psychology, (New York: Oxford University Press) vol. 1: 789-858.
  16. Madhavan, Ravindranath; Grover, Rajiv (1998). "From Embedded Knowledge to Embodied Knowledge: New Product Development as Knowledge Management". Journal of Marketing. 62 (4): 1–12. doi:10.2307/1252283. ISSN   0022-2429. JSTOR   1252283.
  17. 1 2 Sole, Deborah; Edmondson, Amy (2002). "Situated Knowledge and Learning in Dispersed Teams" (PDF). British Journal of Management. 13 (S2): S17–S34. doi:10.1111/1467-8551.13.s2.3. ISSN   1467-8551. S2CID   16422610.
  18. 1 2 3 4 Virtual team, Mastering virtual teams: strategies, tools, and techniques that succeed By Deborah L. Duarte, Nancy Tennant Snyder
  19. 1 2 3 4 5 6 7 Gibson, Cristina B; Dunlop, Patrick D; Raghav, Sonia (2021-04-01). "Navigating identities in global work: Antecedents and consequences of intrapersonal identity conflict". Human Relations. 74 (4): 556–586. doi: 10.1177/0018726719895314 . ISSN   0018-7267. S2CID   213451784.
  20. Maloney, Mary M.; Zellmer-Bruhn, Mary E. (2006). "Building bridges, windows and cultures: Mediating mechanisms between team heterogeneity and performance in global teams". Management International Review. 46 (6): 697–720. doi : 10.1007/s11575-006-0123-5 ISSN  1861-8901.
  21. Martin, Jeffrey A.; Eisenhardt, Kathleen M. (2010-04-01). "Rewiring: Cross-Business-Unit Collaborations in Multibusiness Organizations". Academy of Management Journal. 53 (2): 265–301. doi:10.5465/amj.2010.49388795. ISSN   0001-4273.
  22. Nurmi, Niina; Hinds, Pamela J (August 2016). "Job complexity and learning opportunities: A silver lining in the design of global virtual work". Journal of International Business Studies. 47 (6): 631–654. doi:10.1057/jibs.2016.11. ISSN   0047-2506. S2CID   167543204.
  23. Herschel, R. T., & Andrews, P. H. (1997). Ethical implications of technological advances on business communications. Journal of Business Communications, 34, 160-170.
  24. 1 2 3 Gajendran, R. S., & Harrison, D. A. (2007). The good, the bad, and the unknown about telecommuting: Meta-analysis of psychological mediators and individual consequences. Journal of Applied Psychology, 92(6), 1524–1541.
  25. 1 2 3 Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings. Psychological Science in the Public Interest, 16(2), 40–68. doi : 10.1177/1529100615593273.
  26. Cascio, Wayne F. (2000). "Managing a virtual workplace" . Academy of Management Perspectives. 14 (3): 85. doi:10.5465/ame.2000.4468068. ISSN   1558-9080.
  27. 1 2 Davis, D. D., & Polonko, K. A. (2001). Telework in the United States: Telework America survey2001. Retrieved from http://www.workingfromanywhere.org/telework/twa2001.html .
  28. Hill, E. J., Miller, B. C., Weiner, S. P., & Colihan, J. (1998). Influences of the virtual office on aspects of work and work/life balance. Personnel Psychology, 51(3), 667–683.
  29. 1 2 Kizza, J. M. (2013). Ethical and social issues in the information age. London, England: Springer-Verlag.
  30. Ramsower, R. M. (1983) Telecommuting: An investigation of some organizational and behavioral effects of working at home. Unpublished doctoral dissertation, University of Minnesota, Minneapolis.
  31. Kanawattanachai, P., and Y. Yoo (2002). "Dynamic nature of trust in virtual teams." Journal of Strategic Information Systems, 11: 187–213.
  32. "Latest Work-at-Home/Telecommuting/Remote Work Statistics". Global Workplace Analytics. Retrieved 2021-11-01.
  33. AT&T. (2004). The remote working revolution. Retrieved November 8, 2005, from http://www.business.att.com/resource.jsp?&rtypeWhitepaper&rvaluethe_remote_working_revolution .
  34. Nonaka, I., and H. Takeuchi 1995 The Knowledge Creating Company. New York: Oxford University Press.
  35. Nickson, D., & Siddons, S. (2004). Remote working- Linking people and organizations. Burlington, MA: Elsevier Butterworth-Heinemann.
  36. Igbaria, M., & Guimaraes, T. (1999). Exploring differences in employee turnover intentions and its determinants among telecommuters and non-telecommuters. Journal of Management Information Systems, 16(1): 147-164.
  37. 1 2 3 4 5 6 Gibson CB, Gibb J, Stanko T, et al. (2011) Including the ‘I’ in virtuality and modern job design: Extending the Job Characteristics Model to include the moderating effect of individual experience of electronic dependence and co-presence. Organization Science 22(6): 1481–1499.
  38. 1 2 Gibbs, J., & Gibson, C. B. (2016). Making virtual teams more innovative through effective communication. In K. E. A. K. D. C. K. (Ed.), Contemporary Organizational Behavior: From Ideas to Action (pp. 331-339). Pearson.
  39. Gibson, C. B., and F. Vermeulen 2003 "A healthy divide: Subgroups as a stimulus for team learning." Administrative Science Quarterly, 48: 202–239.
  40. Watson, W. E., K. Kumar, and L. K. Michaelson 1993 "Cultural diversity’s impact on interaction process and performance comparing homogeneous and diverse task groups." Academy of Management Journal, 36: 590–602.
  41. 1 2 3 Brown, S. L., and K. M. Eisenhardt (1995). "Product development: Past research, present findings, and future directions." Academy of Management Review, 20: 343–378.
  42. Lawrence, P., and Lorsch, J. (1967). "Differentiation and Integration in Complex Organizations" Administrative Science Quarterly 12, 1-30.
  43. Rousseau, D.M., Sitkin, S.B., Burt, R.S. and Camerer, C. (1998) Not So Different after All: A Cross-Discipline View of Trust. Academy of Management Review, 23, 393-404.
  44. Cummings, L. L., & Bromiley, P. (1996). The Organizational Trust Inventory (OTI): Development and validation. In R. M. Kramer & T. R. Tyler (Eds.), Trust in organizations: Frontiers of theory and research (pp. 302–330). Sage Publications, Inc.
  45. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Gibson, Cristina B.; Grushina, Svetlana V. (2021-01-01). "A Tale of Two Teams: Next Generation Strategies for Increasing the Effectiveness of Global Virtual Teams". Organizational Dynamics. 50 (1): 100823. doi: 10.1016/j.orgdyn.2020.100823 . ISSN   0090-2616. S2CID   234301270.
  46. Johnson DW, Johnson RT and Tjosvold D (2006) Constructive controversy: The value of intellectual opposition. In: Deutsch M, Coleman PT and Marcus EC (eds) Handbook of Conflict Resolution. San Francisco: Jossey-Bass, 69–91.
  47. Gibson, C.B., Dunlop, P.D. & Cordery, J.L. (2019). Managing formalization to increase global team effectiveness and meaningfulness of work in multinational organizations. J Int Bus Stud 50, 1021–1052.
  48. Powell, Piccoli and Ives (2004) p.13, Anne Powell, Gabriele Piccoli, and Blake Ives. Virtual teams: a review of current literature and directions for future research. The DATA BASE for Advances in Information Systems - Winter Vol. 35, issue 1, 2004.
  49. Tan et .al (2000), Bernard Tan, Kwok-Kee Wei, Wayne Huang, Guet-Ngoh Ng, A Dialogue Technique to Enhance Electronic Communication in Virtual Teams, IEEE Transactions on Professional Communication, Vol. 43, issue 2, 2000, p. 153-165.
  50. (Lind, 1999; Savicki et al., 1996)
  51. (Tan et al., 2000)
  52. (Kayworth & Leidner, 2000)
  53. "Hire Software Resources - Hire Remote Software Developer".
  54. 1 2 3 4 5 6 Lipnack, Jessica; Stamps, Jeffrey (1999). "Virtual teams: The new way to work". Strategy & Leadership. 27 (1): 14–19. doi:10.1108/eb054625.
  55. Hertel, Guido (2005). "Managing virtual teams: A review of current empirical research". Human Resource Management Review. 15: 69–95. doi:10.1016/j.hrmr.2005.01.002.
  56. Maznevski; Chudoba (2000). "p.489, Martha L. Maznevski, Katherine M. Chudoba, Bridging Space over Time: Global Virtual Team Dynamics and Effectiveness". Organization Science. 11 (5): 473–492. CiteSeerX   10.1.1.682.8612 . doi:10.1287/orsc.11.5.473.15200. S2CID   13441261.
  57. Rutkowski, Anne-Francoise; Carol Stoak Saunders; Douglas Vogel; Michiel van Genuchten (2007). "Is It Already 4 a.m. in Your Time Zone?". Small Group Research. 38 (1): 98. doi:10.1177/1046496406297042. S2CID   145783994.
  58. see Powell, Piccoli and Ives (2004) p.8, Anne Powell, Gabriele Piccoli, and Blake Ives. Virtual teams: a review of current literature and directions for future research. The DATA BASE for Advances in Information Systems - Winter Vol. 35, issue 1, 2004 .
  59. 1 2 3 4 5 6 7 8 9 Maznevski, M.; Chudoba, C. (2000). "Bridging space over time: Global virtual team dynamics and effectiveness". Organization Science. 11 (5): 473–492. CiteSeerX   10.1.1.682.8612 . doi:10.1287/orsc.11.5.473.15200. S2CID   13441261.
  60. DeSanctis, Gerardine; Monge, Peter (1998-06-01). "Communication Processes for Virtual Organizations". Journal of Computer-Mediated Communication. 3 (4). doi:10.1111/j.1083-6101.1998.tb00083.x. ISSN   1083-6101.
  61. Carson, S. J., A. Madhok, R. Varman, and G. John 2003 "Information processing moderators of the effectiveness of trust-based governance in inter-firm R&D collaboration." Organization Science, 14: 45–56.
  62. Hollingshead, A. B. 1996a "Information suppression and status persistence in group decision making: The effects of communication media." Human Communication Research, 23: 193–219.
  63. Hollingshead, A. B. 1996b "The rank-order effect in group decision making." Organizational Behavior and Human Decision Performance, 68: 181–193.
  64. Leonardi PM (2013) When does technology use enable network change in organizations? A comparative study of feature use and shared affordances. MIS Quarterly. 37: 749-775.
  65. , Geister et al. (2006)
  66. , Curseu et al. (2008)
  67. Duck, J. (2006). "Making the connection: Improving virtual team performance through behavioral assessment profiling and behavioral cues". Developments in Business Simulation and Experiential Learning, 33, 358–9
  68. Feitosa, Jennifer; Salas, Eduardo (2020). "Today's virtual teams: Adapting lessons learned to the pandemic context". Organizational Dynamics. 50 (1): 100777. doi:10.1016/j.orgdyn.2020.100777. PMC   7311332 . PMID   32836509.
  69. Shachaf, Pnina. "Cultural diversity and information and communication technology affects global virtual teams: An exploratory study." Information & Management (2008): 131-142. November 11, 2014.
  70. 1 2 3 4 Grosse, Christine U (2002). "Managing Communication within Virtual Intercultural Teams". Business Communication Quarterly. 65 (4): 22. doi:10.1177/108056990206500404. S2CID   167854451.
  71. 1 2 Paul, Souren, et al. "Impact of heterogeneity and collaborative conflict management style on the performance of synchronous global virtual teams." Information & Management 41 (2004): 303-321. November 12, 2014.
  72. (Archer, 1990; Lind, 1999; Sharda et al., 1988, Chidambaram & Bostrom, 1993)
  73. Bergiel, Blaise J, Erich B. Bergiel and Phillip W. Balsmeier. "Nature of virtual teams: a summary of their advantages and disadvantages." Management Research News 31.2 (2008): 99-110. November 14, 2014.
  74. 1 2 Hinds, P., Liu, L., & Lyon, J. 2011. Putting the global in global work: An intercultural lens on the practice of cross-national collaboration. Academy of Management Annals, 5, 135–188.
  75. 1 2 Gluesing, J., and C. B. Gibson 2004 "Designing and forming global teams." In M. Maznevski, H. Lane, and M. Mendenhall (eds.), Handbook of Cross- Cultural Management: 199–226. Oxford: Blackwell.
  76. Gibson, C. B., and M. Zellmer- Bruhn 2001 "Metaphor and meaning: An intercultural analysis of the concept of teamwork." Administrative Science Quarterly, 46: 274–303.
  77. Fiol, C. M. 1991 "Managing culture as a competitive resource: An identity based view of sustainable competitive advantage." Journal of Management, 17: 191–211.
  78. Mathieu, J. E., T. S. Heffner, G. F. Goodwin, E. Salas, and J. A. Cannon-Bowers 2000 "The influence of shared mental models on team process and performance." Journal of Applied Psychology, 85: 273–283.
  79. Horton KE, Bayerl PS and Jacobs G (2014) Identity conflicts at work: An integrative framework. Journal of Organizational Behaviour 35: S6–S22.
  80. Gibson, C. B., Dunlop, P., & Raghav, S. 2020. Navigating identities in global work: The role of identity conflict in employee thriving. Human Relations: 5. doi : 10.1177%2F0018726719895314.
  81. Westphal, P. (2016). Evaluating the Satisfaction with Virtual Meeting Outcomes and Processes, Together With Face-to-Face Meetings, Across Cultures. Ph.D. Dissertation, Northcentral University, USA.
  82. Van Ryssen and Godar (2000) p. 55–56, Stefaan Van Ryssen, Susan Hayes Godar, Going international without going international: multinational virtual teams, Journal of International Management, Volume 6, Issue 1, 2000, p. 49-60.
  83. Haas, M. (2006). Acquiring and Applying Knowledge in Transnational Teams: The Roles of Cosmopolitans and Locals. Organization Science, 17(3): 367-384.
  84. Dougherty, D. 1990 "Understanding new markets for new products." Strategic Management Journal, 11: 59–78.
  85. 1 2 3 Dougherty, D. 1992 "Interpretive barriers to successful product innovation in large firms." Organization Science, 3: 179–202.
  86. Dougherty, D., and S. M. Corse 1995 "When it comes to product innovation, what is so bad about bureaucracy?" Journal of High Technology Management Research, 6: 55–76.
  87. Klimoski, R., and S. Mohammed (1994). "Team mental model: Construct or metaphor?" Journal of Management, 20: 403–437.
  88. Cummings, J., 2004, ‘Work Groups, Structural Diversity, and Knowledge Sharing in a Global Organization’, Management Science, no. 50, pp. 352-364.
  89. Stahl, G.K. et al., 2010, ‘Unraveling the Effects of Cultural Diversity in Teams: A Meta-analysis of Research on Multicultural Work Groups’, Journal of International Business Studies, no. 41, pp. 690-709.
  90. 1 2 Gibbs J. L., Grushina S. V., Gibson C. B., Dunlop P., Cordery J. (2013). Encouraging participation in global teams: Unpacking the role of language, culture, and communication practices." In T. Lee, K. Trees and R. Desai (Eds.), Refereed Proceedings of the Australian and New Zealand Communication Association 45 conference: Global Networks-Global Divides: Bridging New and Traditional Communication Challenges, ISSN 1448-4331.
  91. 1 2 3 4 5 6 Veinott, Elizabeth S., Olson, Judith, Olson, Gary M., Fu, Xiaolian "Video helps remote work: speakers who need to negotiate common ground benefit from seeing each other." CHI 99 (1999): 302-309. CHI., 1999. Web. 9 Dec. 2014.
  92. Powell, Piccoli and Ives (2004) p.12-13, Anne Powell, Gabriele Piccoli, and Blake Ives. Virtual teams: a review of current literature and directions for future research. The DATA BASE for Advances in Information Systems - Winter Vol. 35, issue 1, 2004.
  93. Daft, R. L., R. H. Lengel. 1986. Organizational information requirements, media richness and structural design. Management Sci. 32(5) 554–571.
  94. Nardi, B. A., & Whittaker, S. (2002). The role of face-to-face communication in distributed work. In P. Hinds & S. Kiesler (Eds.), Distributed work: New ways of working across distance using technology (pp. 83-110). Cambridge, MA: MIT Press.
  95. Bélanger, F., & Collins, R. W. (1998) Distributed Work Arrangements: A Research Framework. Information Society, 14, 137-152.
  96. Avolio, B. J., Kahai, S., & Dodge, G. E. (2000). E-leadership: Implications for theory, research, and practice. The Leadership Quarterly, 11(4), 615–668.
  97. Gluesing, J., T. Alcordo, M. Baba, D. Britt, K. H. Wagner, W. McKether, L. Monplaisir, H. Ratner, and K. Rioppelle (2003). "The development of global virtual teams." In C. B. Gibson and S. G. Cohen (eds.), Virtual Teams That Work: Creating Conditions for Virtual Team Effectiveness: 353–380. San Francisco: Jossey-Bass.
  98. Rennecker, J. 2001 "The situated nature of distributed collaborative work." Working paper, Sloan School of Management, Massachusetts Institute of Technology.
  99. Crampton, C (2001). "p.355-359, Catherine Cramton, The Mutual Knowledge Problem and its Consequences for Dispersed Collaboration". Organization Science. 12 (3): 346–371. doi:10.1287/orsc.12.3.346.10098. S2CID   53491808.
  100. Katz, R. 1982 "The effects of group longevity on project communication and performance." Administrative Science Quarterly, 27: 81–104.
  101. 1 2 Dougherty, D. 2001 "Re-Imagining the differentiation and integration of work for sustained product innovation." Organization Science, 12: 612–631.
  102. 1 2 Trombetta, J. J., & D. P. Rogers (1988) "Communication climate, job satisfaction, and organizational commitment." Management Communication Quarterly, 1: 494–514.
  103. Das, T. K., and B. Teng (1998). "Between trust and control: Developing confidence in partner cooperative alliances." Academy of Management Review, 23: 491–512.
  104. Zaheer, A., B. McEvily, and V. Perrone 1998 "Does trust matter: Exploring the effects of interorganizational and interpersonal trust on performance." Organization Science, 9: 141–159.
  105. 1 2 3 4 5 6 7 8 Gibbs, J. L., Gibson, C. B., Grushina, S. V., & Dunlop, P. D. (2021). Understanding orientations to participation: overcoming status differences to foster engagement in global teams. European Journal of Work and Organizational Psychology, 1-19.
  106. Kraut, R. E., S. R. Fussell, S. E. Brennan, J. Siegel. 2002. Understanding effects of proximity on collaboration: Implications for technologies to support remote collaborative work. P. J. Hinds, S. Kiesler, eds. Distributed Work. MIT Press, Cambridge, MA, 137–162.
  107. Neeley, T. B., & Dumas, T. L. (2016). Unearned status gain: Evidence from a global language mandate. Academy of Management Journal, 59(1), pp. 14. doi : 10.5465/amj.2014.0535.
  108. Hoegl, M., & Gemuenden, H. G. (2001). Teamwork quality and the success of innovative projects: A theoretical concept and empirical evidence. Organization Science, 12, 435–449. doi : 10.1287/orsc.12.4. 435.10635.
  109. Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686–688. doi : 10.1126/science.
  110. Gibbs, J. L., Gibson, C. B., Grushina, S. V., & Dunlop, P. D. (2021). Understanding orientations to participation: overcoming status differences to foster engagement in global teams. European Journal of Work and Organizational Psychology, pp. 13-14.
  111. Gibbs, J. L., Gibson, C. B., Grushina, S. V., & Dunlop, P. D. (2021). Understanding orientations to participation: overcoming status differences to foster engagement in global teams. European Journal of Work and Organizational Psychology, pp. 17.
  112. Tidwell, L. C., and J. B. Walther 2002 "Computer mediated communication effects on disclosure, impressions, and interpersonal evaluations." Human Communication Research, 28: 317–348.
  113. 1 2 3 Zhao, S. 2003. Toward a taxonomy of copresence. Presence 12(5): 445–455.
  114. Wiesenfeld, B. M., S. Raghuram, R. Garud. 2001. Organizational identification among virtual workers: The role of need for affiliation and perceived work-based social support. J. Management 27(2) 213–229.
  115. Hollingshead, A. B. (1998) "Communication, learning, and retrieval in transactive memory systems." Journal of Experimental Social Psychology, 34: 423–442.
  116. Klitmøller A., & Lauring, J. (2013). When global virtual teams share knowledge: Media richness, cultural difference and language commonality. Journal of World Business, 48, 398-406.
  117. Brdiczka, O., N. M. Su, J. Begole. 2009. Using temporal (T-patterns) to relieve stress factors of routine tasks. Extended Abstracts of the ACM Conf. Human Factors (CHI’09), ACM, New York, 4081–4086.
  118. "McLarnon, M. J. W., O’Neill, T. A., Taras, V., Law, D., Donia, M. B. L., & Steel, P. (2019). Global Virtual Team Communication, Coordination, and Performance Across Three Peer Feedback Strategies. Canadian Journal of Behavioural Science, 51(4), 207–218. https://doi.org/10.1037/cbs0000135
  119. Bell, Bradford S.; Kozlowski, Steve W. J. (2002). "A Typology of Virtual Teams: Implications for Effective Leadership". Group & Organization Management. 27: 14. CiteSeerX   10.1.1.110.5616 . doi:10.1177/1059601102027001003. S2CID   2881684.
  120. 1 2 3 4 Zhang, C., Yu, M. C., & Marin, S. (2021). Exploring public sentiment on enforced remote work during COVID-19. Journal of Applied Psychology, 106(6), 797–810. doi : 10.1037/apl0000933.
  121. Menjivar, C., Foster, J. G., & Brand, J. E. 2020. https://www.cnn.com/2020/03/21/opinions/physical-distancingmenjivar-foster-brand/index.html . Accessed March 21, 2020.
  122. Gibson, C. B., Gibbs, J. L., Stanko, T. L., Tesluk, P., & Cohen, S. G. (2011). Including the "I" in Virtuality and Modern Job Design: Extending the Job Characteristics Model to Include the Moderating Effect of Individual Experiences of Electronic Dependence and Copresence. Organization Science, 22(6): pp. 1496.
  123. Guzley, R. M. 1992 "Organizational climate and communication climate." Management Communication Quarterly, 5: 379–402.
  124. 1 2 Kanawattanachai, Prasert; Yoo, Youngjin (2002). "Dynamic Nature of Trust in Virtual Teams". Journal of Strategic Information Systems. 11 (3–4): 187–213. doi:10.1016/s0963-8687(02)00019-7.
  125. Alai, Maryam; Tiwana, Amrit (2002). "Knowledge Integration in Virtual Teams: The Potential Role of KMS". Journal of the American Society for Information Science and Technology. 53 (12): 1029–1037. doi:10.1002/asi.10107.
  126. Robert Jr., L. P., Dennis, A. R., & Ahuja, M. K. 2018. Differences are different: Examining the effects of communication media on the impacts of racial and gender diversity in decision-making teams. Information Systems Research, 29(3): 525–545.
  127. Brewer, M. B. 1991. The social self: On being the same and different at the same time. Personality and Social Psychology Bulletin, 17(5): 475–482.
  128. Swaab, R. I., Phillips, K. W., & Schaerer, M. 2016. Secret conversation opportunities facilitate minority influence in virtual groups: The influence on majority power, information processing, and decision quality. Organizational Behavior and Human Decision Processes, 133: 17–32.
  129. Magni, M., Ahuja, M. K., & Maruping, L. M. 2018. Distant but fair: Intra-team justice climate and performance in dispersed teams. Journal of Management Information Systems, 35(4): 1031–1059.
  130. Cramton, C. D., & Hinds, P. J. 2014. An embedded model of cultural adaptation in global teams. Organization Science, 25(4): 1056–1081.
  131. Chan SCH and Mak W (2014) Team identification and interpersonal helping behaviour in work teams: A hotel industry study. Journal of Human Resources in Hospitality & Tourism 13(1): 17–33.
  132. Ramarajan L, Berger IE and Greenspan I (2017a) Multiple identity configurations: The benefits of focused enhancement for prosocial behavior. Organization Science 28(3): 495–513.
  133. Janssen O and Huang X (2008) Us and me: Team identification and individual differentiation as complementary drivers of team members' citizenship and creative behaviors. Journal of Management 34(1): 69–88.
  134. Olkkonen M and Lipponen J (2006) Relationship between organizational justice, identification with organization and work-unit, and group related outcomes. Organizational Behaviour and Human Decision Processes 100(2): 202–215.
  135. Al-Atwi AA and Bakir A (2014) Relationships between status judgments, identification and counterproductive work behaviour. Journal of Managerial Psychology 29(5): 472–489.
  136. Enns JR and Rotundo M (2012) When competition turns ugly: Collective injustice, workgroup identification, and counterproductive work behavior. Human Performance 25(1): 26–51.
  137. Duffy MK, Scott KL, Shaw JD, et al. (2012) A social context model of envy and social undermining. Academy of Management Journal 55(3): 643–666.
  138. Stewart MM and Garcia-Prieto P (2008) A relational demography model of workgroup identification: Testing the effects of race, race dissimilarity, racial identification and communication behavior. Journal of Organizational Behavior 29(5): 657–680.
  139. Escartin J, Ullrich J, Zapf D, et al. (2013) Individual- and group-level effects of social identification on workplace bullying. European Journal of Work and Organizational Psychology 22(2): 182–193.
  140. Ramsay S, Troth A and Branch S (2011) Work-place bullying: A group processes framework. Journal of Occupational & Organizational Psychology 84(4): 799–816.
  141. Cicero L and Pierro A (2007) Charismatic leadership and organisational outcomes: The mediating roles of employees’ work-group identification. International Journal of Psychology 42(5): 297–306.
  142. Li Y, Zhang G, Yang X, et al. (2015) The influence of collectivist human resource management practices on team-level identification. The International Journal of Human Resource Management 26(14): 1791–1806.
  143. Barsade, S. G. 2002. The ripple effect: Emotional contagion and its influence on group behavior. Administrative Science Quarterly, 47(4): 644–675.
  144. Butts, M. M., Becker, W. J., & Boswell, W. R. 2015. Hot buttons and time sinks: The effects of electronic communication during non-work time on emotions and work-non-work conflict. Academy of Management Journal, 58(3): 763–788.
  145. Chartrand, T. L., & Van Baaren, R. 2009. Human mimicry. Advances in Experimental Social Psychology, 41: 219–274.
  146. Derks, D., & Bakker, A. B. 2014. Smartphone use, work– home interference, and burnout: A diary study on the role of recovery. Applied Psychology, 63(3): 411–440.
  147. Ferguson, M., Carlson, D., Boswell, W., Whitten, D., Butts, M. M., & Kacmar, K. M. 2016. Tethered to work: A family systems approach linking mobile device use to turnover intentions. Journal of Applied Psychology, 101(4): 520–534.
  148. Joshi, A., Lazarova, M. B., & Liao, H. 2009. Getting everyone on board: The role of inspirational leadership in geographically dispersed teams. Organization Science, 20(1): 240–252.
  149. Olszanowski, M., Wr´ obel, M., & Hess, U. 2020. Mimicking and sharing emotions: A re-examination of the link between facial mimicry and emotional contagion. Cognition and Emotion, 34(2): 367–376.
  150. Williams, T. A., Gruber, D. A., Sutcliffe, K. M., Shepherd, D. A., & Zhao, E. Y. 2017. Organizational response to adversity: Fusing crisis management and resilience research streams. Academy of Management Annals, 11, 733–769.
  151. Collins, R. 2004. Interaction ritual chains. Princeton, NJ: Princeton University Press.
  152. Owens, B. P., Baker, W. E., Sumpter, D. M., & Cameron, K. S. 2016. Relational energy at work: Implications for job engagement and job performance. Journal of Applied Psychology, 101(1): 35–49.
  153. Quinn, R. W., Spreitzer, G. M., & Lam, C. 2012. Building a sustainable model of human energy in organizations: Exploring the critical role of resources. Academy of Management Annals, 6: 337–396.
  154. 1 2 Yuan, Z., Ye, Z., & Zhong, M. (2021). Plug back into work, safely: Job reattachment, leader safety commitment, and job engagement in the COVID-19 pandemic. Journal of Applied Psychology, 106(1), 62–70.
  155. Shao, Y., Fang, Y., Wang, M., Chang, C.-H. (D.), & Wang, L. (2021). Making daily decisions to work from home or to work in the office: The impacts of daily work- and COVID-related stressors on next-day work location. Journal of Applied Psychology, 106(6), 825-838.
  156. 1 2 Steinbach, A. L., Kautz, J., & Korsgaard, M. A. (2021). Caring for their own: How firm actions to protect essential workers and CEO benevolence influenced stakeholder sentiment during the COVID-19 pandemic. Journal of Applied Psychology, 106(6), 811–824.

Further reading