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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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Big data adoption and knowledge management sharing: an empirical investigation on their adoption and sustainability as a purpose of education

TL;DR: It is hypothesized that perceived usefulness, perceived ease of use, perceived risk, and behavioral intention to use big data should influence adoption of big data, while age diversity, cultural diversity, and motivators should impact knowledge management sharing.
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Impact of flipped classroom on EFL learners' appropriate use of refusal: achievement, participation, perception

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The Behavioral Intentions of Hong Kong Primary Teachers in Adopting Educational Technology.

TL;DR: In this paper, the authors investigate teachers' acceptance of technology and the influencing factors behind their acceptance, finding that despite the perceived ease of use and perceived usefulness of the technology, a pragmatic consideration of facilitating conditions is a strong dominating factor.
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Technology Acceptance in Health Care: An Integrative Review of Predictive Factors and Intervention Programs☆

TL;DR: Whether the intervention programs originate from previously covered theoretical concepts and constructs are discussed, which may be the most distinctive factor for health care professionals, ease of use is of big importance for patients.
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Technology Acceptance in Social Media: Review, Synthesis and Directions for Future Empirical Research

TL;DR: A recent meta-study as mentioned in this paper identifies existing studies that observe what exactly leads to user acceptance of the technology underlying social media, which is one of the most prominent models in information technology acceptance research.
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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