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Technology Adoption Models

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Technology Acceptance Model (TAM)

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Explains how users come to accept and use a technology. Key components are perceived usefulness and perceived ease of use.

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Unified Theory of Acceptance and Use of Technology (UTAUT)

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Aims to explain user intentions to use an information system and subsequent usage behavior. Key components are performance expectancy, effort expectancy, social influence, and facilitating conditions.

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Diffusion of Innovations Theory

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Explores how, why, and at what rate new ideas and technology spread. Key components include innovation, communication channels, time, and a social system.

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DeLone and McLean IS Success Model

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Measures the success of information systems. Key components are system quality, information quality, use, user satisfaction, individual impact, and organizational impact.

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Theory of Planned Behavior (TPB)

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Explains the relationship between behavior and beliefs, attitudes, and intentions. Key components are behavioral intention, attitude toward behavior, subjective norms, and perceived behavioral control.

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The Innovation Diffusion Theory (IDT)

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Explains how over time an idea or product gains momentum and diffuses through a specific population or social system. Key components are innovation attributes, type of innovation decision, communication channel, nature of the social system, and extent of change agents' promotion efforts.

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The Technology-Organization-Environment Framework (TOE)

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Examines how a firm's technological, organizational, and environmental contexts influence its decisions to adopt IT innovations. Key components are technological context, organizational context, and environmental context.

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Social Cognitive Theory (SCT)

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Explains how people learn new behaviors through observational learning, or modeling. Key components are reciprocal determinism, behavioral capability, expectations, self-efficacy, observational learning, and reinforcements.

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Expectation Confirmation Model (ECM)

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Explains post-purchase satisfaction as a function of expectations, perceived performance, and disconfirmation of beliefs. Key components are initial expectation, perceived performance, disconfirmation, satisfaction, and post-adoption expectation.

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Task-Technology Fit (TTF) Model

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Determines how well a technology supports a specific task. Key components are technology characteristics, task characteristics, and the fit between the two which leads to performance impacts.

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Media Richness Theory

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Suggests that more complex messages require a richer medium. Key components are the medium's capacity to facilitate understanding, ability to handle multiple cues simultaneously, facilitate rapid feedback, and personalization.

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Knowledge-Based Theory of the Firm

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Suggests that organizational knowledge is the most strategically significant resource of a firm. Key components are knowledge creation, knowledge storage/retrieval, knowledge transfer, and knowledge application.

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Moore's Law

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The observation that the number of transistors on a microchip doubles approximately every two years, while the cost of computers is halved. Key components are hardware performance and technology evolution.

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Garner's Hype Cycle

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Provides a graphical representation of the maturity, adoption, and social application of specific technologies. Key components are technology trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity.

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Postmodern ERP Strategy

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Involves the use of administrative and operational ERP components in a loose coupling fashion with a focus on flexibility and agility. Key components are integration, flexibility, and the ability to upgrade.

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