Evaluating Technology Acceptance Model on the User Resistance Perspective: A Meta-analytic Approach

Dönmez-Turan, Aygül; Odabas, Mehmet Tugrul

doi:10.1007/978-3-030-96040-7_59

Cited by 1 publication

(1 citation statement)

References 57 publications

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“…Researchers suggested that individuals faced with imminent IS change develop perceptions of relevant objects of resistance, which, in turn, influence their resistance behavior (Lapointe and Rivard, 2005). For example, perceived ease of use and usefulness have been identified as important factors that reduce user resistance during the implementation of new IS (Bhattacherjee and Hikmet, 2007; Donmez-Turan and Odabas, 2022; Fu et al , 2022).…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Factors influencing resistance to hospitality information system change

Kim

Hardin²,

Lee³

2022

JHTI

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PurposeWhen organizations implement a new information system (IS), they often experience users' resistance behaviors. This study explored the effects of IS self-efficacy, perceived ease of use, perceived usefulness, and anxiety on resistance to IS change within the hospitality domain. It also compared these relationships before and after completing e-learning courses for a new IS.Design/methodology/approachSurvey responses were gathered from current and future hospitality employees. All hypotheses were tested via confirmatory factor analysis and structural equation modeling.FindingsThe results demonstrated that (1) IS self-efficacy had significant effects on both perceived usefulness and perceived ease of use of IS; and (2) IS anxiety had a significant impact on resistance to IS change, both before and after completing the e-learning courses. The results also showed that self-efficacy had a significant effect on anxiety and, in turn, resistance to change, after completing the e-learning courses, but not prior to the training.Research limitations/implicationsThis study addressed the lack of theory-driven empirical research on predictors of user resistance to IS change, based on social cognitive theory, technology acceptance models, and user resistance research.Practical implicationsBased on the findings, hospitality operators and vendors can focus on improving factors influencing user adoption of a new IS when they design and implement it. Operators can design better change management strategies to reduce resistance to IS change.Originality/valueFew investigations have been conducted to explain the relationships among the aforementioned factors, before and after completing e-learning for a hospitality IS.

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