The Technology Acceptance Model: Past, Present, and Future

By Younghwa Lee, Kenneth A. Kozar, Kai R. T. Larsen. Communications of the Association for Information Systems, 2003

2,705 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7ee8698080ee63b24d177d41e9fec213ee96d40a

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Citations in the corpus

The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, methodology): “In keeping with the work of Lee et al. (2003) and their work on TAM, we illustrate the mapping of all such external variables onto the constructs of UTAUT in Figure 3.”
Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “In workplace settings, studies of technology adoption have found that the nature of technology matters, such as whether technology use is voluntary or mandatory (Lee et al., 2003; Chuttur, 2009).”
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, positive): “The relationships between PEOU, RA, SN, and Intention have been theoretically justified and empirically supported in many prior studies (see reviews in Lee et al. 2003; Venkatesh et al. 2003) and given that they are not the focus of our research, we do not offer formal hypotheses.”
Trust In and Adoption of Online Recommendation Agents (2005, background): “The predictive power of PU and PEOU for individuals' technology acceptance has been empirically confirmed by numerous studies (e.g., Lee et al., 2003).”
Web acceptance and usage model: A comparison between goal-directed and experiential web users (2005, background): “Since the users' perception and intention can change over time, it is important to measure these quantities at several points of time ( Lee et al. , 2003”
Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach (2006, result): “The use of subject types in our studies is congruent with contemporary studies on technology acceptance ( Lee et al., 2003; Legris et al., 2003).”
How augmented reality apps are accepted by consumers : a comparative analysis using scales and opinions (2017, methodology): “Several authors have emphasized the need for and conducted replication studies to determine the predicted relationships of the TAM model (for an overview including the aspect of replication studies to validate the TAM model and measurements see Lee et al., 2003).”
A Systematic Review of the Technology Acceptance Model in Health Informatics (2018, methodology): “Accounts of the ﬁ rst decade of TAM-related research and suggestions of future directions were offered in 2003 by Lee et al 27 and Legris et al. 25 The directions included a need for incorporating more variables related to human and social change processes and exploring boundary conditions.”
Project management information systems: An empirical study of their impact on project managers and project success (2008, background): “Thus the purpose of this study is first, to empirically assess the quality of the PMIS presently used in organizations and second, to examine their impact on project managers and project performance.”
Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures (2006, background): “, playfulness, general computer self-efficacy, prior experience) (Lee et al., 2003).”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “[52] Analysis of TAM’s history and prediction of its future trajectory Progress and discoveries of TAM in time period 1986–2003; identification of future directions”