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An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce

Author

Listed:
  • Gordon Xu

    (University of Auckland, New Zealand)

  • Jairo A. Gutierrez

    (University of Auckland, New Zealand)

Abstract

This research deals with two aspects of mobile commerce (m-commerce); namely killer applications and critical success factors. After compiling significant information from the related literature, a Delphi panel was assembled by selecting a group of experts who has significant knowledge about m-commerce and wireless communications. The panel was requested to comment on a number of m-commerce issues and scenarios gleaned from the literature review, and members of the panel also were asked to indicate which issues were more important and which of the presented scenarios were more likely. Three separate rounds of the Delphi survey were carried out and the final results indicated that the short message service (SMS) and a killer portfolio were the two most likely killer applications of m-commerce. Additionally, four factors—convenience, ease of use, trust, and ubiquity—were identified as the most important to m-commerce success. According to the Delphi results and the experts’ comments, the highlighted features of the killer applications were found to match the most significant critical success factors as voted by the panel.

Suggested Citation

  • Gordon Xu & Jairo A. Gutierrez, 2006. "An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 4(3), pages 63-79, July.
  • Handle: RePEc:igg:jeco00:v:4:y:2006:i:3:p:63-79
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    Citations

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    Cited by:

    1. Sarah Bayer & Henner Gimpel & Daniel Rau, 2021. "IoT-commerce - opportunities for customers through an affordance lens," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 27-50, March.
    2. Hu, Bo & Liu, Yu-li & Yan, Wenjia, 2021. "Should I scan my face? The influence of perceived value and trust on Chinese users' intention to use facial recognition payment," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238028, International Telecommunications Society (ITS).
    3. Gurau Cãlin, 2011. "Wireless Advertising: A Study Of Mobile Phone Users," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 741-747, July.
    4. Zhang, Yufei & Voorhees, Clay M. & Lin, Chen & Chiang, Jeongwen & Hult, G.Tomas M. & Calantone, Roger J., 2022. "Information Search and Product Returns Across Mobile and Traditional Online Channels," Journal of Retailing, Elsevier, vol. 98(2), pages 260-276.
    5. Ozturk, Ahmet Bulent & Bilgihan, Anil & Nusair, Khaldoon & Okumus, Fevzi, 2016. "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience," International Journal of Information Management, Elsevier, vol. 36(6), pages 1350-1359.
    6. Saso Josimovski & Dimitar Jovevski & Lidija Pulevska Ivanovska & Vaska Cobanova, 2014. "Empirical Evidence Of Success Factors For Mobile Commerce Adoption In The Republic Of Macedonia Using Tam-Model," Journal Articles, Center For Economic Analyses, pages 15-23, December.
    7. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    8. Fatma Zeynep Özata & ?çlem Er, 2015. "Determinants Of User Satisfaction With Mobile Applications: Case Of Facebook As A Mobile App In Turkey," Proceedings of Business and Management Conferences 2304356, International Institute of Social and Economic Sciences.

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