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Journal ArticleDOI

Information technology acceptance by individual professionals: a model comparison approach

TLDR
Results of the study highlight several plausible limitations of TAM and TPB in explaining or predicting technology acceptance by individual professionals and suggest that instruments that have been developed and repeatedly tested in previous studies involving end users and business managers in ordinary business settings may not be equally valid in a professional setting.
Abstract
The proliferation of innovative and exciting information technology applications that target individual “professionals” has made the examination or re-examination of existing technology acceptance theories and models in a “professional” setting increasingly important. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and a decomposed TPB model, potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using the responses to a survey on telemedicine technology acceptance collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study highlight several plausible limitations of TAM and TPB in explaining or predicting technology acceptance by individual professionals. In addition, findings from the study also suggest that instruments that have been developed and repeatedly tested in previous studies involving end users and business managers in ordinary business settings may not be equally valid in a professional setting. Several implications for technology acceptance/adoption research and technology management practices are discussed.

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Citations
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Toward an understanding of the behavioral intention to use mobile banking

TL;DR: In this article, the authors extended the applicability of the TAM in a mobile banking context, by adding one trust-based construct (perceived credibility) and two resource-based constructs (PERceived selfefficacy) to the model, while paying careful attention to the placing of these constructs in the TAM's existing nomological structure.
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Methodological Review: The Technology Acceptance Model: Its past and its future in health care

TL;DR: Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications.
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Knowledge sharing and firm innovation capability: an empirical study

TL;DR: Wang et al. as mentioned in this paper examined the influence of individual factors (enjoyment in helping others and knowledge self-efficacy), organizational factors (top management support and organizational rewards) and technology factors (information and communication technology use) on knowledge sharing processes and whether more leads to superior firm innovation capability.
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Consumer e-shopping acceptance: Antecedents in a technology acceptance model

TL;DR: In this paper, the authors integrated e-shopping quality, enjoyment, and trust into a technology acceptance model (TAM) to understand consumer acceptance of e-Shopping.
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Understanding information technology acceptance by individual professionals: toward an integrative view

TL;DR: This study developed a more complete, coherent, and unified model and tested the resulting model in the context of PDA acceptance by healthcare professionals; it explained 57% of the physician's intention to accept an innovation, with good model fit.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

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.
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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.
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Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
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