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Open AccessJournal ArticleDOI

Technology Acceptance Model 3 and a Research Agenda on Interventions

Viswanath Venkatesh, +1 more
- 01 May 2008 - 
- Vol. 39, Iss: 2, pp 273-315
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TLDR
This work draws from the vast body of research on the technology acceptance model (TAM) to develop a comprehensive nomological network of the determinants of individual level IT adoption and use and present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adopted and use of IT.
Abstract
Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations.

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Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning

TL;DR: A TAM3-based model is proposed – with the inclusion of two additional variables: personal innovativeness in the domain of information technology and perceived interaction – to study the factors influencing the acceptance of e-learning systems.
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Handbook of Consumer Finance Research

TL;DR: In this paper, the authors provide an overview of consumer finance research from multidisciplinary perspectives, focusing on consumer finance from a multidisciplinarity perspective, and provide a review of the state of the art in consumer finance.
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The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN)

TL;DR: The empirical results show that the proposed behavioral model (named MPAM-VSN) is accordingly adjusted, thus showing that previous experience increases intention of use, and interesting implications for the diffusion of mobile payment systems in VSN are revealed.
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Me, my self, and I(T): conceptualizing information technology identity and its implications

TL;DR: This paper draws on structural symbolic interactionist identity theories to systematically develop a conceptual definition of IT identity, the extent to which an individual views use of an IT as integral to his or her sense of self--as a new form of identity.
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BIM Acceptance Model in Construction Organizations

TL;DR: An acceptance model for BIM in construction organizations using structural equation modeling (SEM) is proposed, including the BIM acceptance model (BAM), which was identified through a literature review about technology acceptance-behavior related theories.
References
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Journal ArticleDOI

Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Book

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
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