An online community, also called an internet community or web community, is a community whose members interact with each other primarily via the Internet. Members of the community usually share common interests. For many, online communities may feel like home, consisting of a "family of invisible friends". Additionally, these "friends" can be connected through gaming communities and gaming companies. Those who wish to be a part of an online community usually have to become a member via a specific site and thereby gain access to specific content or links.
In business, diffusion is the process by which a new idea or new product is accepted by the market. The rate of diffusion is the speed with which the new idea spreads from one consumer to the next. Adoption is the reciprocal process as viewed from a consumer perspective rather than distributor; it is similar to diffusion except that it deals with the psychological processes an individual goes through, rather than an aggregate market process.
Expectancy theory proposes that an individual will behave or act in a certain way because they are motivated to select a specific behavior over others due to what they expect the result of that selected behavior will be. In essence, the motivation of the behavior selection is determined by the desirability of the outcome. However, at the core of the theory is the cognitive process of how an individual processes the different motivational elements. This is done before making the ultimate choice. The outcome is not the sole determining factor in making the decision of how to behave.
Impression management is a conscious or subconscious process in which people attempt to influence the perceptions of other people about a person, object or event by regulating and controlling information in social interaction. It was first conceptualized by Erving Goffman in 1959 in The Presentation of Self in Everyday Life, and then was expanded upon in 1967.
A learning management system (LMS) is a software application for the administration, documentation, tracking, reporting, automation, and delivery of educational courses, training programs, materials or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems make up the largest segment of the learning system market. The first introduction of the LMS was in the late 1990s. Learning management systems have faced a massive growth in usage due to the emphasis on remote learning during the COVID-19 pandemic.
The elaboration likelihood model (ELM) of persuasion is a dual process theory describing the change of attitudes. The ELM was developed by Richard E. Petty and John Cacioppo in 1980. The model aims to explain different ways of processing stimuli, why they are used, and their outcomes on attitude change. The ELM proposes two major routes to persuasion: the central route and the peripheral route.
In artificial intelligence, an embodied agent, also sometimes referred to as an interface agent, is an intelligent agent that interacts with the environment through a physical body within that environment. Agents that are represented graphically with a body, for example a human or a cartoon animal, are also called embodied agents, although they have only virtual, not physical, embodiment. A branch of artificial intelligence focuses on empowering such agents to interact autonomously with human beings and the environment. Mobile robots are one example of physically embodied agents; Ananova and Microsoft Agent are examples of graphically embodied agents. Embodied conversational agents are embodied agents that are capable of engaging in conversation with one another and with humans employing the same verbal and nonverbal means that humans do.
The theory of reasoned action aims to explain the relationship between attitudes and behaviors within human action. It is mainly used to predict how individuals will behave based on their pre-existing attitudes and behavioral intentions. An individual's decision to engage in a particular behavior is based on the outcomes the individual expects will come as a result of performing the behavior. Developed by Martin Fishbein and Icek Ajzen in 1967, the theory derived from previous research in social psychology, persuasion models, and attitude theories. Fishbein's theories suggested a relationship between attitude and behaviors. However, critics estimated that attitude theories were not proving to be good indicators of human behavior. The TRA was later revised and expanded by the two theorists in the following decades to overcome any discrepancies in the A–B relationship with the theory of planned behavior (TPB) and reasoned action approach (RAA). The theory is also used in communication discourse as a theory of understanding.
Computer user satisfaction is the attitude of a user to the computer system they employ in the context of their work environments. Doll and Torkzadeh's (1988) definition of user satisfaction is, the opinion of the user about a specific computer application, which they use. In a broader sense, the definition of user satisfaction can be extended to user satisfaction with any computer-based electronic appliance. However, scholars distinguish between user satisfaction and usability as part of Human-Computer Interaction. Successful organisations have systems in place which they believe help maximise profits and minimise overheads. It is therefore desirable that all their systems succeed and remain successful; and this includes their computer-based systems. According to key scholars such as DeLone and McLean (2002), user satisfaction is a key measure of computer system success, if not synonymous with it. However, the development of techniques for defining and measuring user satisfaction have been ad hoc and open to question. The term Computer User Satisfaction is abbreviated to user satisfaction in this article.
Behavioural change theories are attempts to explain why human behaviours change. These theories cite environmental, personal, and behavioural characteristics as the major factors in behavioural determination. In recent years, there has been increased interest in the application of these theories in the areas of health, education, criminology, energy and international development with the hope that understanding behavioural change will improve the services offered in these areas. Some scholars have recently introduced a distinction between models of behavior and theories of change. Whereas models of behavior are more diagnostic and geared towards understanding the psychological factors that explain or predict a specific behavior, theories of change are more process-oriented and generally aimed at changing a given behavior. Thus, from this perspective, understanding and changing behavior are two separate but complementary lines of scientific investigation.
In social dynamics, critical mass is a sufficient number of adopters of a new idea, technology or innovation in a social system so that the rate of adoption becomes self-sustaining and creates further growth. The point at which critical mass is achieved is sometimes referred to as a threshold within the threshold model of statistical modeling.
The unified theory of acceptance and use of technology (UTAUT) is a technology acceptance model formulated by Venkatesh and others in "User acceptance of information technology: Toward a unified view". The UTAUT aims to explain user intentions to use an information system and subsequent usage behavior. The theory holds that there are four key constructs: 1) performance expectancy, 2) effort expectancy, 3) social influence, and 4) facilitating conditions.
The matching person and technology model is an organizational framework to assess and recommend successful use of a variety of assistive technologies for people with disabilities: educational technology, and those used in the workplace, school, home; for healthcare, for mobility and performing daily activities. Specialized devices for hearing loss, speech, eyesight and cognition as well as general or everyday technologies are also included. Research shows that although a technology may appear perfect for a given need, it may be used inappropriately or even go unused when critical personality preferences, psychosocial characteristics or needed environmental support are not considered. The use and non-use of technology as conceptualized in the Matching person and technology model has been validated by many researchers and authors representing the fields of occupational therapy, physical therapy, speech language pathology, psychology, and others. The matching person and technology model is operationalized by a series of reliable and valid measures that provide a person-centered and individualized approach to matching individuals with the most appropriate technologies for their use. The matching person & technology model and measures were developed by Marcia J. Scherer beginning in 1986.
In studies of science communication, the information deficit model, also known as the deficit model or science literacy/knowledge deficit model, theorizes that scientific literacy can be improved with increased public engagement by the scientific community. As a result, the public may then be able to make more decisions that are science-informed. The model implies that communication should focus on improving the transfer of information from experts to non-experts.
Active users is a software performance metric that is commonly used to measure the level of engagement for a particular software product or object, by quantifying the number of active interactions from users or visitors within a relevant range of time.
The Webreep model is an information systems theory that explains and predicts website satisfaction, loyalty, and word-of-mouth. The model suggests that four factors directly influence website satisfaction. Website satisfaction, in turn, directly influences website visitor loyalty and likelihood of referral. Each factor is "shaped" by facets. The four dimensions and factors include:
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.
Technological self-efficacy (TSE) is "the belief in one's ability to successfully perform a technologically sophisticated new task". TSE does not highlight specific technological tasks; instead it is purposely vague. This is a specific application of the broader and more general construct of self-efficacy, which is defined as the belief in one's ability to engage in specific actions that result in desired outcomes. Self efficacy does not focus on the skills one has, but rather the judgments of what one can do with his or her skills. Traditionally, a distinguishing feature of self efficacy is its domain-specificity. In other words, judgments are limited to certain types of performances as compared to an overall evaluation of his or her potential. Typically, these constructs refer to specific types of technology; for example, computer self-efficacy, or internet self-efficacy and information technology self-efficacy. In order to organize this literature, technology specific self-efficacies that technology specific self-efficacies can be considered sub-dimensions under the larger construct of technological self-efficacy.
A Behavioral Change Support System (BCSS) is any information and communications technology (ICT) tool, web platform, or gamified environment which targets behavioral changes in its end-users. BCSS are built upon persuasive systems design techniques.
The technology-organization-environment framework, also known as the TOE framework, is a theoretical framework that explains technology adoption in organizations and describes how the process of adopting and implementing technological innovations are influenced by the technological context, organizational context, and environmental context. Louis G. Tornatzky and Mitchell Fleischer published the model in 1990.
