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The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model

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  • Shan Du

    (School of Economics & Management, Xidian University, Xi’an 710071, China
    Shaanxi Soft Science Institute of Informatization and Digita Economy, Xidian University, Xi’an 710071, China)

  • Hua Li

    (School of Economics & Management, Xidian University, Xi’an 710071, China
    Shaanxi Soft Science Institute of Informatization and Digita Economy, Xidian University, Xi’an 710071, China)

Abstract

With the advance of 5G communication technologies and Internet+ strategy, mobile commerce has experienced rapid growth and needs urgent attention from researchers. It is the aim of this article to analyze the literature on mobile commerce to address the following question: With the wide application of artificial intelligence and big data, what are the latest technology, models and problems in the background of the new era that researchers and practitioners need to understand in order to grasp the research frontier in this field quickly? Therefore, to achieve these objectives, this paper reviews 1130 m-commerce articles with 25,502 associated references from the SCI-EXPANDED, SSCI, CPCI-S, CPCI-SSH database and develops a framework of m-commerce value by analyzing the most influential authors, institutions, countries, journals and keywords in m-commerce. We apply three types of knowledge mapping to our study—cluster view, timezone view and timeline view. Frequency statistics, clustering coefficient as well as centrality calculation are employed to analyze by CiteSpace. We use the strength of citation bursts to analyze keywords and put result into the I-Modelwhich provide an important framework for classifying m-commerce activities and theories. In this study, we explore the knowledge structure, development and the future trend of mobile commerce for researchers. We identify the main technology and models to improve customer satisfaction and adoption behavior in the background of the new era which provide decision support for practitioners. Compared with the existing literature reviews of mobile commerce, we make a set of knowledge maps to show the future trend of mobile commerce and analyze visual results based on I-model. It is the first study to present the major clusters to reveal their associated intellectual bases and research fronts.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1580-:d:214168
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    References listed on IDEAS

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    1. 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.
    2. Cesar Bandera, 2017. "Value-added service providers for mobile education: empirical challenges and analytics," Electronic Commerce Research, Springer, vol. 17(2), pages 317-333, June.
    3. Anil Kumar & Manoj Kumar Dash, 2017. "Using Fuzzy Delphi and Generalized Fuzzy TOPSIS to Evaluate Technological Service Flexibility Dimensions of Internet Malls," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(2), pages 153-161, June.
    4. Muhammad Fazal Ijaz & Wu Tao & Jongtae Rhee & Yong-Shin Kang & Ganjar Alfian, 2016. "Efficient Digital Signage-Based Online Store Layout: An Experimental Study," Sustainability, MDPI, vol. 8(6), pages 1-20, May.
    5. Gerpott, Torsten J. & Thomas, Sandra, 2014. "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(3), pages 291-310.
    6. Heinonen, Kristina & Strandvik, Tore, 2006. "Consumer Responsiveness to Mobile Marketing," Working Papers 518, Hanken School of Economics.
    7. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2015. "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 37-52.
    8. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    9. Efraim Turban & Jon Outland & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2018. "Electronic Commerce 2018," Springer Texts in Business and Economics, Springer, edition 9, number 978-3-319-58715-8, April.
    10. Yi Cui & Jian Mou & Yanping Liu, 2018. "Knowledge mapping of social commerce research: a visual analysis using CiteSpace," Electronic Commerce Research, Springer, vol. 18(4), pages 837-868, December.
    11. Efraim Turban & Jon Outland & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2018. "Mobile Commerce and the Internet of Things," Springer Texts in Business and Economics, in: Electronic Commerce 2018, edition 9, chapter 6, pages 205-248, Springer.
    12. Varnali, Kaan & Toker, Ayşegül, 2010. "Mobile marketing research: The-state-of-the-art," International Journal of Information Management, Elsevier, vol. 30(2), pages 144-151.
    13. Muhammad Fazal Ijaz & Jongtae Rhee, 2018. "Constituents and Consequences of Online-Shopping in Sustainable E-Business: An Experimental Study of Online-Shopping Malls," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    14. Ailawadi, Kusum L. & Beauchamp, J.P. & Donthu, Naveen & Gauri, Dinesh K. & Shankar, Venkatesh, 2009. "Communication and Promotion Decisions in Retailing: A Review and Directions for Future Research," Journal of Retailing, Elsevier, vol. 85(1), pages 42-55.
    15. Abdullah Azfar & Kim-Kwang Raymond Choo & Lin Liu, 2016. "Android mobile VoIP apps: a survey and examination of their security and privacy," Electronic Commerce Research, Springer, vol. 16(1), pages 73-111, March.
    16. Kaplan, Andreas M., 2012. "If you love something, let it go mobile: Mobile marketing and mobile social media 4x4," Business Horizons, Elsevier, vol. 55(2), pages 129-139.
    17. Su-Fang Lee & Yuan-Cheng Tsai & Wen-Jang (Kenny) Jih, 2006. "An Empirical Examination of Customer Perceptions of Mobile Advertising," Information Resources Management Journal (IRMJ), IGI Global, vol. 19(4), pages 39-55, October.
    18. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    19. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    20. Stephen W. Wang & Waros Ngamsiriudom & Chia-Hung Hsieh, 2015. "Trust disposition, trust antecedents, trust, and behavioral intention," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 555-572, July.
    21. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    22. Shankar, Venkatesh & Venkatesh, Alladi & Hofacker, Charles & Naik, Prasad, 2010. "Mobile Marketing in the Retailing Environment: Current Insights and Future Research Avenues," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 111-120.
    23. 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.
    24. Aristotelis Chantzaras & Nasiopoulos K. Dimitrios & D. S. Vlachos, 2017. "Mobile Commerce and Success Factors. Simulation and Modeling of the Problem," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Damianos P. Sakas & Petros Tomaras (ed.), Strategic Innovative Marketing, pages 349-355, Springer.
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    3. Cătălin Grădinaru & Ștefan-Alexandru Catană & Sorin George Toma & Andreea Barbu, 2022. "An Empirical Research of Students’ Perceptions Regarding M-Commerce Acquisitions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(16), pages 1-22, August.

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