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The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF

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  • Ya-Yueh Shih
  • Chi-Yuan Chen

Abstract

Mobile commerce systems allow customers to purchase products over the Internet without using a pc. It also creates a new mobile business model and change e-commerce paradigms, having an especially significant effect on the medical and insurance industries. Furthermore, the real estate industry is increasing in the booming market, but tends to become overheated. Thus, some innovative techniques (such as mobile commerce) were adopted by estate agent to enhance their competitive advantage. Consequently, identifying the match between mobile commerce technique and individual performance is a valuable focus of research. In fact, technology acceptance model (TAM) is a well-known theory regarding the adoption of information technology (IT), but ignores the focus on evaluating IT; meanwhile, the task-technology fit (TTF) model takes a directly rational approach by assuming that users choose to use IT that provides benefits but does not consider about users’ beliefs and attitude towards IT. Therefore, this study examined an integrated model of TAM and TTF that provided additional explanatory power via structural equation modeling. Analytical results confirm that the integrated model provides greater explanatory power than either TAM or TTF alone. Furthermore, several practical implications and recommendations are also discussed below. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Ya-Yueh Shih & Chi-Yuan Chen, 2013. "The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1009-1020, February.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:2:p:1009-1020
    DOI: 10.1007/s11135-011-9579-x
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    References listed on IDEAS

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    1. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    2. Margherita Pagani, 2006. "Determinants of adoption of High Speed Data Services in the business market : Evidence for a combined technology acceptance model with task technology fit model," Post-Print hal-02313097, HAL.
    3. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
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    2. Xin Lin & RunZe Wu & Yong-Taek Lim & Jieping Han & Shih-Chih Chen, 2019. "Understanding the Sustainable Usage Intention of Mobile Payment Technology in Korea: Cross-Countries Comparison of Chinese and Korean Users," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    3. Ingrid Gottschalk & Stefan Kirn, 2013. "Cloud Computing As a Tool for Enhancing Ecological Goals?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 299-313, October.
    4. Mateus Vicente Justino & Robertson K. Tengeh & Michael Twum-Darko, 2022. "Task-technology fit perspective of the use of m-commerce by retail businesses," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(4), pages 320-335, June.
    5. Zoran Kalinic & Veljko Marinkovic, 2016. "Determinants of users’ intention to adopt m-commerce: an empirical analysis," Information Systems and e-Business Management, Springer, vol. 14(2), pages 367-387, May.
    6. Pei-Chu, Hung, 2019. "Understanding What Drives Consumers to Use Gourmet Apps: Applying a Relationship Quality Perspective," GATR Journals jmmr210, Global Academy of Training and Research (GATR) Enterprise.
    7. Sameera Butt & Asif Mahmood & Saima Saleem & Shah Ali Murtaza & Sana Hassan & Edina Molnár, 2023. "The Contribution of Learner Characteristics and Perceived Learning to Students’ Satisfaction and Academic Performance during COVID-19," Sustainability, MDPI, vol. 15(2), pages 1-28, January.
    8. Nurul-Ain Abdul-Halim & Ali Vafaei-Zadeh & Haniruzila Hanifah & Ai Ping Teoh & Khaled Nawaser, 2022. "Understanding the determinants of e-wallet continuance usage intention in Malaysia," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3413-3439, October.
    9. 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.
    10. Fan-Yun Pai & Tsu-Ming Yeh, 2014. "The effects of information sharing and interactivity on the intention to use social networking websites," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2191-2207, July.
    11. Mateus Vicente Justino & Robertson Khan Tengeh & Michael Twum-Darko, 2022. "A Revised Technology–Organisation–Environment Framework for Brick-and-Mortar Retailers Adopting M-Commerce," JRFM, MDPI, vol. 15(7), pages 1-18, June.

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