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What drives mobile commerce? An empirical evaluation of the revised technology acceptance model

Authors:

Shu-Ching WangAuthors Info & Claims

Information and Management, Volume 42, Issue 5

Pages 719 - 729

Published: 01 July 2005 Publication History

Abstract

This study presents an extended technology acceptance model (TAM) that integrates innovation diffusion theory, perceived risk and cost into the TAM to investigate what determines user mobile commerce (MC) acceptance. The proposed model was empirically tested using data collected from a survey of MC consumers. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. Our findings indicated that all variables except perceived ease of use significantly affected users' behavioral intent. Among them, the compatibility had the most significant influence. Furthermore, a striking, and somewhat puzzling finding was the positive influence of perceived risk on behavioral intention to use. The implication of this work to both researchers and practitioners is discussed.

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Cited By

Wang YLin HWang YWei C(2024)What Drives Internet Entrepreneurial Commitment in TaiwanJournal of Organizational and End User Computing10.4018/JOEUC.34895636:1(1-35)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/JOEUC.348956
Jarvin JCassandra CDeniswara K(2024)Adoption of Metaverse in Auditing: Auditors’ PerspectiveProceedings of the 2024 15th International Conference on E-business, Management and Economics10.1145/3691422.3691485(67-74)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3691422.3691485
Behera RBala PRay A(2024)Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the HypeInformation Systems Frontiers10.1007/s10796-021-10168-y26:3(899-919)Online publication date: 1-Jun-2024
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Index Terms

What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
1. Applied computing
  1. Electronic commerce
    1. E-commerce infrastructure
  2. Enterprise computing
    1. Business process management
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies

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cover image Information and Management

Information and Management Volume 42, Issue 5

July 2005

171 pages

ISSN:0378-7206

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 July 2005

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Cited By

Wang YLin HWang YWei C(2024)What Drives Internet Entrepreneurial Commitment in TaiwanJournal of Organizational and End User Computing10.4018/JOEUC.34895636:1(1-35)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/JOEUC.348956
Jarvin JCassandra CDeniswara K(2024)Adoption of Metaverse in Auditing: Auditors’ PerspectiveProceedings of the 2024 15th International Conference on E-business, Management and Economics10.1145/3691422.3691485(67-74)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3691422.3691485
Behera RBala PRay A(2024)Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the HypeInformation Systems Frontiers10.1007/s10796-021-10168-y26:3(899-919)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10796-021-10168-y
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Mittal AAggarwal AMittal R(2020)Predicting University Students' Adoption of Mobile News ApplicationsInternational Journal of E-Services and Mobile Applications10.4018/IJESMA.202010010312:4(42-59)Online publication date: 1-Oct-2020
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Abayomi OZhang XPeng XZhao S(2020)How Do Institutional Pressures and Behavioral Intentions Affect Mobile Services Adoption?ACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3400043.340004951:2(82-100)Online publication date: 18-May-2020
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