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User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model

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  • Kai-Ying Chen
  • Meng-Lin Chang

Abstract

Near-field communication (NFC) is a technology with service applications that include location-based service, mobile payment, peer gaming, and targeted advertising. Using the unified theory of acceptance and use of technology model, this study explores the factors that affect consumer acceptance of mobile phones with built-in NFC capability. The results indicate that Effort Expectancy has a positive effect on Performance Expectancy. Also, Performance Expectancy and Social Influence have a positive effect on Attitude Toward Use of Technology, but Anxiety has a negative effect on it. Finally, Attitude Toward Use of Technology is more significant than Facilitating Conditions in affecting Behavioral Intention.

Suggested Citation

  • Kai-Ying Chen & Meng-Lin Chang, 2013. "User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model," The Service Industries Journal, Taylor & Francis Journals, vol. 33(6), pages 609-623, May.
    • Handle: RePEc:taf:servic:v:33:y:2013:i:6:p:609-623
    DOI: 10.1080/02642069.2011.622369
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    Cited by:

    1. Phaninee Naruetharadhol & Sasichakorn Wongsaichia & Shenying Zhang & Chanchai Phonthanukitithaworn & Chavis Ketkaew, 2022. "Understanding Consumer Buying Intention of E-Commerce Airfares Based on Multivariate Demographic Segmentation: A Multigroup Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(15), pages 1-20, July.
    2. Ji Hee Song & Candice R. Hollenbeck, 2015. "The value of social presence in mobile communications," The Service Industries Journal, Taylor & Francis Journals, vol. 35(11-12), pages 611-632, August.
    3. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2017. "Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 40-52.
    4. Armah, Abdul Karim & Li, Jinfa, 2023. "Generational cohorts’ social media acceptance as a delivery tool in sub-Sahara Africa motorcycle industry: The role of cohort technical know-how in technology acceptance," Technology in Society, Elsevier, vol. 75(C).
    5. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    6. Shui-Lien Chen & June-Hong Chen & Yung Hsin Lee, 2018. "A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    7. Shan Du & Hua Li, 2019. "The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model," Sustainability, MDPI, vol. 11(6), pages 1-26, March.
    8. Zhunzhun Liu & Shenglin Ben & Ruidong Zhang, 2019. "Factors affecting consumers’ mobile payment behavior: a meta-analysis," Electronic Commerce Research, Springer, vol. 19(3), pages 575-601, September.
    9. Irma Agárdi & Mónika Anetta Alt, 2024. "Do digital natives use mobile payment differently than digital immigrants? A comparative study between generation X and Z," Electronic Commerce Research, Springer, vol. 24(3), pages 1463-1490, September.
    10. Krishna Moorthy & Loh Chun T'ing & Kwong Chea Yee & Ang Wen Huey & Lee Joe In & Poon Chyi Feng & Tan Jia Yi, 2020. "What drives the adoption of mobile payment? A Malaysian perspective," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 349-364, July.
    11. King Hang Lam & Wai Ming To & Peter K.C. Lee, 2022. "Smart Building Management System (SBMS) for Commercial Buildings—Key Attributes and Usage Intentions from Building Professionals’ Perspective," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    12. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    13. Han, Heejeong & Park, Arum & Chung, Namho & Lee, Kyoung Jun, 2016. "A near field communication adoption and its impact on Expo visitors’ behavior," International Journal of Information Management, Elsevier, vol. 36(6), pages 1328-1339.
    14. Ronald Baganzi & Antonio K. W. Lau, 2017. "Examining Trust and Risk in Mobile Money Acceptance in Uganda," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
    15. Leenshya Gunnoo, 2023. "A Micro-Businesses Perspective on Factors Affecting the Adoption of Mobile Payment Services During the Covid-19 Pandemic in Mauritius," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 61-74.

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