A network-centric organization is a network governance pattern which empowers knowledge workers to create and leverage information to increase competitive advantage through the collaboration of small and agile self-directed teams. It is emerging in many progressive 21st century enterprises. This implies new ways of working, with consequences for the enterprise’s infrastructure, processes, people and culture.
With a network-centric configuration, knowledge workers are able to create and leverage information to increase competitive advantage through the collaboration of small and agile self-directed teams. For this, the organizational culture needs to change from one solely determined by a single form of organizing (e.g., hierarchy) to an adaptive hybrid enabling multiple forms of organizing within the same organization. The nature of the work, in an area, determines best the way its conduct is organized and the networked mediation of work activities affords interoperability among differentially-organized areas of work. [1]
A network-centric organization is both a sensible response to a complex environment and an enactor of sensibility on that environment. The business climate of the new millennium is characterized by profound and continuous changes due to globalization, exponential leaps in technological capabilities, and other market forces. Rapid developments of Information and Communication Technologies(ICT) are driving and supporting the change from the industrial to the information age.
In this world of rapid change and uncertainty, organizations need to continually renew, reinvent and reinvigorate themselves in order to respond creatively. The network-centric approach aims to tap into the hidden resources of knowledge workers supported and enabled by ICT, in particular the social technologies associated with Web 2.0 and Enterprise 2.0. Essentially though, a network-centric organization is more about people and culture than technology. [2] A useful survey of network organization theory appears in Van Alstyne (1997) [3]
There is a synthesis of thinking, learning and doing at the core of creative human activity that underpins the concept of knowledge work. Knowledge workers collaborate on tasks that are cognitively demanding, involving complex technical judgements, a high degree of professional and individual expertise and experience. The knowledge worker is astutely aware, not only of the means and purpose of their work, but also its political and social dimensions. Much of this knowledge is tacit and shared among the work group becoming embedded in its culture.
There is a broad expanse of uncharted territory between the real knowledge work that occurs in an organization and the formal organizational structure and espoused practices. The concentration on formal organizational programs aimed at the individual workers ignored the real nature of work practices that reside in a space between the organization and individual perspectives. This space often remains hidden from the organizational landscape, unappreciated and undervalued. Revealing the nature of this hidden space holds the key to understanding knowledge work and is critical to successful organizational outcomes and learning.
Many enterprises are hybrids of hierarchical bureaucracies, heterarchic work groups distributed across organizational and spatial boundaries, and responsibly autonomous individuals where competition and cooperation coexist due to a strict division of work activities. Network-centric organizations locate the partitioning of work activities in the self-direction of individuals and work groups, rather than in the hierarchy.
Enterprises which have complex hybrid structures consisting of hierarchies and networks are more like organic eco-systems than machines. [4] The latter are likely to be exploitative and bureaucratic while the former can be networked and innovative. This reflects the tension between the natural tendency for disorder to increase while humans strive to impose order by developing ever more complex rigid structures and systems. It is quite a natural state of affairs that organizations can be part mechanistic and part organic with continual transformations among these forms. Network-centric organizations enact governance systems that manage these ongoing transformations. [1]
A complex environment presents an enterprise with too large a range and diversity of inputs to comprehend logically, so the sensible response is not to try. Attempts to deal with complexity are unsuccessful if they aim to either simplify or assert control over complex situations. It makes more sense to maintain and support the natural creative energies of complex environments, encouraging the emergence of innovative new forms of working.
Sensible enterprises will become agile, flexible and adaptable by incorporating more creativity and diversity into their structures, processes and human resources. The informality, interactivity and adaptability of small teams of people retains a space for what we traditionally call ‘common sense’ for both understanding and action amid the accountability and constraints of the formal enterprise. Sensible managers will relinquish some of their traditional control to knowledge workers in small self-directed teams. A network-centric organization will also have an increased need and reliance on data sensing, analysis, and closed-loop action driven by repeated application of "sense-and-respond" cycle.
At the current time, a new civil digital culture has taken hold, in which so-called ‘social’ and/or ‘conversational’ technologies or social software are providing unprecedented opportunities for everyday user activities. The term Web 2.0 has entered the vocabulary to reflect the ongoing transition of the World Wide Web from a collection of websites to a full-fledged computing platform serving social web applications such as email, discussion forums, chatrooms, Weblogs and Wikis to end users. Constructivist learning theorists (Vygotsky, 1978; [5] Leidner & Jarvenpaa, 1995 [6] explained that the process of expressing knowledge aids its creation and conversations benefits the refinement of knowledge. Cheung et al. (2005) [7] maintains that conversational knowledge management fulfils this purpose because conversations, e.g. questions and answers, become the source of relevant knowledge.
Social technologies facilitate processes where knowledge creation and storage is carried out through a discussion forum where participants contribute to the discussion with questions and answers, or through a Weblog which is typified by a process of storytelling or through a Wiki using collaborative writing (Hasan and Pfaff 2006). [8] In the corporate setting, the term Enterprise 2.0 is emerging to reflect the use of freeform social software within companies to support work units and the individual knowledge worker. Gordon and Ganesan (2005) [9] advocate a different vision for knowledge management systems to one that is specifically targeted to the capture and use of the stories told in communities and organizations in the context of normal, spoken conversations.
Conversation and other types of human-human communication must be exploited in today’s knowledge management systems to harness the value of conversation in packaging and transmitting tacit knowledge. The attraction of these social technologies is their low cost, intuitive functionality and connectivity. Social technologies support new forms of network-centric interaction and activity between people, allowing and enhancing informal access to create and distribute information. These technologies empower ordinary people to have a global presence for business, political and social purposes. The new social technologies at the focus of this project are tools of a rising digital democracy.
One of the newest approaches on the horizon is worknetting. A worknet is a form of organization where stakeholders, individuals or institutions or both, can come together around a shared purpose. Whereas a network centres on the relationships between partners, a worknet centres on each partner's relationship with the shared purpose. In this way, the unique strengths and contributions of each partner can be optimized and enhanced, as they are situated in the context of the worknets common interest.
Traditional organizations that favor a rigid hierarchical structure and ego-centric methods still employ the outmoded concept where the decision-making authority lies solely in the domain of its corporate headquarters. Changes resulting from developments in ICT and the growth of the Internet, have made it increasingly difficult to provide a platform for effective and efficient management and operations. As observed by De Vulpian (2005), [10] “we are in the process of moving from a pyramidal, hierarchical society to a single-story society where heterarchical relationships dominate”.
There is a tension between ego-centric thinking and network-centric thinking – the tension between the institutional power that emanates from an organization and the transactional power that inheres in its members' daily interactions. Progressive organizations are tending to refocus on supporting teams in community-style networks. There is a growing realization that if "decisions are allowed to move out of the corporate headquarters to individual business units, business units will in turn distribute power and decision-making to self-managed teams and profit centers (Allee 2003).” [11] This is the basis of the concept of knowledge work where workers have control over their own activities through knowledge acquired in the course of both training and experience.
Network-centric warfare is a simple concept that involves the linkage of engagement systems to sensors through networks and the sharing of information between force elements. The early development of the concept evolved by connecting information systems and creating software applications that allow people to use the available data. McKenna, Moon, Davis and Warne (2006) [12] emphasise on the human dimension of NCW which is based on the idea that information is only useful if it allows people to act more effectively.
Collaborative software or groupware is application software designed to help people working on a common task to attain their goals. One of the earliest definitions of groupware is "intentional group processes plus software to support them."
Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organizational objectives by making the best use of knowledge.
Social software, also known as social apps or social platform includes communications and interactive tools that are often based on the Internet. Communication tools typically handle capturing, storing and presenting communication, usually written but increasingly including audio and video as well. Interactive tools handle mediated interactions between a pair or group of users. They focus on establishing and maintaining a connection among users, facilitating the mechanics of conversation and talk. Social software generally refers to software that makes collaborative behaviour, the organisation and moulding of communities, self-expression, social interaction and feedback possible for individuals. Another element of the existing definition of social software is that it allows for the structured mediation of opinion between people, in a centralized or self-regulating manner. The most improved area for social software is that Web 2.0 applications can all promote co-operation between people and the creation of online communities more than ever before. The opportunities offered by social software are instant connections and opportunities to learn.An additional defining feature of social software is that apart from interaction and collaboration, it aggregates the collective behaviour of its users, allowing not only crowds to learn from an individual but individuals to learn from the crowds as well. Hence, the interactions enabled by social software can be one-to-one, one-to-many, or many-to-many.
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.
Knowledge transfer is the sharing or disseminating of knowledge and the providing of inputs to problem solving. In organizational theory, knowledge transfer is the practical problem of transferring knowledge from one part of the organization to another. Like knowledge management, knowledge transfer seeks to organize, create, capture or distribute knowledge and ensure its availability for future users. It is considered to be more than just a communication problem. If it were merely that, then a memorandum, an e-mail or a meeting would accomplish the knowledge transfer. Knowledge transfer is more complex because:
Sociotechnical systems (STS) in organizational development is an approach to complex organizational work design that recognizes the interaction between people and technology in workplaces. The term also refers to coherent systems of human relations, technical objects, and cybernetic processes that inhere to large, complex infrastructures. Social society, and its constituent substructures, qualify as complex sociotechnical systems.
The knowledge economy, or knowledge-based economy, is an economic system in which the production of goods and services is based principally on knowledge-intensive activities that contribute to advancement in technical and scientific innovation. The key element of value is the greater dependence on human capital and intellectual property as the source of innovative ideas, information and practices. Organisations are required to capitalise on this "knowledge" in their production to stimulate and deepen the business development process. There is less reliance on physical input and natural resources. A knowledge-based economy relies on the crucial role of intangible assets within the organisations' settings in facilitating modern economic growth.
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. From a sociotechnical perspective, information systems are composed by four components: task, people, structure, and technology. Information systems can be defined as an integration of components for collection, storage and processing of data of which the data is used to provide information, contribute to knowledge as well as digital products that facilitate decision making.
An organizational structure defines how activities such as task allocation, coordination, and supervision are directed toward the achievement of organizational aims.
Community informatics (CI) is an interdisciplinary field that is concerned with using information and communication technology (ICT) to empower members of communities and support their social, cultural, and economic development. Community informatics may contribute to enhancing democracy, supporting the development of social capital, and building well connected communities; moreover, it is probable that such similar actions may let people experience new positive social change. In community informatics, there are several considerations which are the social context, shared values, distinct processes that are taken by members in a community, and social and technical systems. It is formally located as an academic discipline within a variety of academic faculties including information science, information systems, computer science, planning, development studies, and library science among others and draws on insights on community development from a range of backgrounds and disciplines. It is an interdisciplinary approach interested in using ICTs for different forms of community action, as distinct from pure academic study about ICT effects.
Knowledge workers are workers whose main capital is knowledge. Examples include ICT Professionals, physicians, pharmacists, architects, engineers, scientists, design thinkers, public accountants, lawyers, editors, and academics, whose job is to "think for a living".
Personal knowledge management (PKM) is a process of collecting information that a person uses to gather, classify, store, search, retrieve and share knowledge in their daily activities and the way in which these processes support work activities. It is a response to the idea that knowledge workers need to be responsible for their own growth and learning. It is a bottom-up approach to knowledge management (KM).
A heterarchy is a system of organization where the elements of the organization are unranked (non-hierarchical) or where they possess the potential to be ranked a number of different ways. Definitions of the term vary among the disciplines: in social and information sciences, heterarchies are networks of elements in which each element shares the same "horizontal" position of power and authority, each playing a theoretically equal role. In biological taxonomy, however, the requisite features of heterarchy involve, for example, a species sharing, with a species in a different family, a common ancestor which it does not share with members of its own family. This is theoretically possible under principles of "horizontal gene transfer".
Corporate taxonomy is the hierarchical classification of entities of interest of an enterprise, organization or administration, used to classify documents, digital assets and other information. Taxonomies can cover virtually any type of physical or conceptual entities at any level of granularity.
Personal knowledge networks are methods for organizations to identify, capture, evaluate, retrieve, and share information. This method was primarily conceived by researchers to facilitate the sharing of personal, informal knowledge between organizations. Instead of focusing on the organizational context, some researchers investigate the intra-firm aspects at the personal level of organizational knowledge networks, where knowledge management (KM) processes both begin and end. Various technologies and behaviors support personal knowledge networking, including wikis, Really Simple Syndication (RSS), and relationship networks. Researchers propose that knowledge management can occur with little explicit governance. This trend is referred to as "grassroots KM" as opposed to traditional, top-down enterprise KM.
Organizational intelligence (OI) is the capability of an organization to comprehend and create knowledge relevant to its purpose; in other words, it is the intellectual capacity of the entire organization. With relevant organizational intelligence comes great potential value for companies and organizations to figure out where their strengths and weaknesses lie in responding to change and complexity.
An electronic performance support system (EPSS) is any computer software program or component that improves user performance.
A community of practice (CoP) is a group of people who "share a concern or a passion for something they do and learn how to do it better as they interact regularly". The concept was first proposed by cognitive anthropologist Jean Lave and educational theorist Etienne Wenger in their 1991 book Situated Learning. Wenger then significantly expanded on the concept in his 1998 book Communities of Practice.
Text and conversation is a theory in the field of organizational communication illustrating how communication makes up an organization. In the theory's simplest explanation, an organization is created and defined by communication. Communication "is" the organization and the organization exists because communication takes place. The theory is built on the notion, an organization is not seen as a physical unit holding communication. Text and conversation theory puts communication processes at the heart of organizational communication and postulates, an organization doesn't contain communication as a "causal influence", but is formed by the communication within. This theory is not intended for direct application, but rather to explain how communication exists. The theory provides a framework for better understanding organizational communication.
21st century skills comprise skills, abilities, and learning dispositions that have been identified as being required for success in 21st century society and workplaces by educators, business leaders, academics, and governmental agencies. This is part of a growing international movement focusing on the skills required for students to master in preparation for success in a rapidly changing, digital society. Many of these skills are also associated with deeper learning, which is based on mastering skills such as analytic reasoning, complex problem solving, and teamwork. These skills differ from traditional academic skills in that they are not primarily content knowledge-based.