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Employees' acceptance of mobile technology in a workplace: An empirical study using SEM and fsQCA

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  • Yueh, Hsiu-Ping
  • Lu, Ming-Hsin
  • Lin, Weijane

Abstract

This study aims to analyze the antecedent conditions of work performance including performance expectancy, facilitating conditions, social influence, and which combination of them better leads to higher levels of performance when using mobile technology in the workplace. With an extended theoretical framework of UTAUT, this study undertook a survey of employees from various industrial categories in Taiwan. The data were analyzed by structural equation model (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to understand the statistical associations and the set relations of the conjunctions and conditions. Using a sample of 692 employees, the results support all four hypotheses and support the structural model built in this study. The findings suggested that using mobile technology in the workplace positively influenced employees' perceived improvement of work performance and that the performance expectancy also affected work performance improvement. Finally, facilitating conditions and social influence significantly affected mobile technology usage behavior.

Suggested Citation

  • Yueh, Hsiu-Ping & Lu, Ming-Hsin & Lin, Weijane, 2016. "Employees' acceptance of mobile technology in a workplace: An empirical study using SEM and fsQCA," Journal of Business Research, Elsevier, vol. 69(6), pages 2318-2324.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:6:p:2318-2324
    DOI: 10.1016/j.jbusres.2015.12.048
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    References listed on IDEAS

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    1. Tho, Nguyen Dinh & Trang, Nguyen Thi Mai, 2015. "Can knowledge be transferred from business schools to business organizations through in-service training students? SEM and fsQCA findings," Journal of Business Research, Elsevier, vol. 68(6), pages 1332-1340.
    2. B. Charles Tatum, 2012. "Testing a Model of Work Performance in an Academic Environment," SAGE Open, , vol. 2(2), pages 21582440124, April.
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    Cited by:

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    3. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    4. Francesca Bonetti & Matteo Montecchi & Kirk Plangger & Hope Jensen Schau, 2023. "Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 867-888, July.
    5. Chaouali, Walid & Hammami, Samiha Mjahed & Cristóvão Veríssimo, José Manuel & Harris, Lloyd C. & El-Manstrly, Dahlia & Woodside, Arch G., 2022. "Customers who misbehave: Identifying restaurant guests “acting out†via asymmetric case models," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    6. Baillette, Paméla & Barlette, Yves & Leclercq-Vandelannoitte, Aurélie, 2018. "Bring your own device in organizations: Extending the reversed IT adoption logic to security paradoxes for CEOs and end users," International Journal of Information Management, Elsevier, vol. 43(C), pages 76-84.
    7. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers," IJERPH, MDPI, vol. 16(18), pages 1-31, September.
    8. Adrian MICU & Marius GERU & Angela-Eliza MICU, 2017. "Developing Customer Trust in E-Commerce Using Inbound Marketing Strategies," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 522-531.
    9. Michael Rivera & Liangfei Qiu & Subodha Kumar & Tony Petrucci, 2021. "Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace," Information Systems Research, INFORMS, vol. 32(2), pages 517-540, June.
    10. Jyoti Choudrie & Sutee Pheeraphuttranghkoon & Soheil Davari, 2020. "The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study," Information Systems Frontiers, Springer, vol. 22(3), pages 673-695, June.
    11. Malik, Akanksha & Sinha, Shuchi & Goel, Sanjay, 2022. "Coping with workplace sexual harassment: Social media as an empowered outcome," Journal of Business Research, Elsevier, vol. 150(C), pages 165-178.

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