IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1580-d214168.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1580/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/6/1580/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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, August.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Heinonen, Kristina & Strandvik, Tore, 2006. "Consumer Responsiveness to Mobile Marketing," Working Papers 518, Hanken School of Economics.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hew, Jun-Jie & Lee, Voon-Hsien & Leong, Lai-Ying, 2023. "Why do mobile consumers resist mobile commerce applications? A hybrid fsQCA-ANN analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Rong-Chang Jou & Yeong-Jia Day, 2021. "Application of Revised Importance–Performance Analysis to Investigate Critical Service Quality of Hotel Online Booking," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    2. Chia-Nan Wang & Thanh-Tuan Dang & Ngoc-Ai-Thy Nguyen & Thi-Thu-Hong Le, 2020. "Supporting Better Decision-Making: A Combined Grey Model and Data Envelopment Analysis for Efficiency Evaluation in E-Commerce Marketplaces," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    3. Okazaki, Shintaro & Mendez, Felipe, 2013. "Perceived Ubiquity in Mobile Services," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 98-111.
    4. Ström, Roger & Vendel, Martin & Bredican, John, 2014. "Mobile marketing: A literature review on its value for consumers and retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1001-1012.
    5. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    6. Mutlu Yuksel Avcilar & Akin Alkevli, 2017. "The Antecedents of Mobile Repurchasing Intentions: An Empirical Investigation among Turkish Mobile Shoppers," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 105-105, February.
    7. 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.
    8. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    9. Zuo, Zhili & Cheng, Jinhua & Guo, Haixiang & Li, Yonglin, 2021. "Knowledge mapping of research on strategic mineral resource security: A visual analysis using CiteSpace," Resources Policy, Elsevier, vol. 74(C).
    10. Liu, Feng & Zhao, Shaoqiong & Li, Yang, 2017. "How many, how often, and how new? A multivariate profiling of mobile app users," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 71-80.
    11. Mihaela Tofan & Ionel Bostan, 2022. "Some Implications of the Development of E-Commerce on EU Tax Regulations," Laws, MDPI, vol. 11(1), pages 1-26, February.
    12. Miluska Murillo-Zegarra & Carla Ruiz-Mafe & Silvia Sanz-Blas, 2020. "The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    13. Eliza Nichifor & Radu Constantin Lixăndroiu & Silvia Sumedrea & Ioana Bianca Chițu & Gabriel Brătucu, 2021. "How Can SMEs Become More Sustainable? Modelling the M-Commerce Consumer Behaviour with Contingent Free Shipping and Customer Journey’s Touchpoints Optimisation," Sustainability, MDPI, vol. 13(12), pages 1-27, June.
    14. Luis Fernando Hor-Meyll & Marcel Correia de Lima & Jorge Brantes Ferreira, 2014. "Why Should I Accept Ads on my Mobile Phone? Factors Affecting the Acceptance by Brazilian Teenagers," Brazilian Business Review, Fucape Business School, vol. 11(4), pages 130-150, August.
    15. Gavilan, Diana & Avello, Maria & Abril, Carmen, 2014. "The mediating role of mental imagery in mobile advertising," International Journal of Information Management, Elsevier, vol. 34(4), pages 457-464.
    16. Grewal, Dhruv & Janakiraman, Ramkumar & Kalyanam, Kirthi & Kannan, P.K. & Ratchford, Brian & Song, Reo & Tolerico, Stephen, 2010. "Strategic Online and Offline Retail Pricing: A Review and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 138-154.
    17. Nor Hazlina Hashim & Normalini & Norhazlina Sajali, 2018. "The Influence Factors Towards Mobile Advertising Message Content on Consumer Purchase Intention," Global Business Review, International Management Institute, vol. 19(5), pages 1187-1206, October.
    18. Massoud Moslehpour & Van Kien Pham & Wing-Keung Wong & İsmail Bilgiçli, 2018. "e-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    19. Avornyo, Philip & Fang, Jiaming & Antwi, Collins Opoku & Aboagye, Michael Osei & Boadi, Evans Asante, 2019. "Are customers still with us? The influence of optimum stimulation level and IT-specific traits on mobile banking discontinuous usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 348-360.
    20. Lin, Boqiang & Su, Tong, 2020. "Mapping the oil price-stock market nexus researches: A scientometric review," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 133-147.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1580-:d:214168. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.