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Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM

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  • Rana, Nripendra P.
  • Barnard, Daniel J.
  • Baabdullah, Abdullah M.A.
  • Rees, Daniel
  • Roderick, Sian

Abstract

In the modern business era, mobile commerce (m-commerce) is changing the way the business is conducted using the Internet. However, the prominence of m-commerce among small and medium-sized enterprises (SMEs) in the UK is minimal. The purpose of this study is to evaluate the existing literature and to extend the research surrounding the barriers that prevent the adoption of m-commerce amongst SMEs. The study uses an Interpretive Structural Modelling (ISM) and MICMAC approach for guiding and helping managers of SMEs. Data was collected from an expert participant group each of whom had extensive knowledge of m-commerce. The findings represent the unstable nature of variables in the context of their impact on each other, their relationships, and themselves. The listed factors in the proposed framework and the interrelationships between them highlight the multi-dimensional element of m-commerce adoption prevention. This observation proves criticality of analysing data as a collective entity rather than viewing the barriers in isolation. The findings also indicated ‘perceived risk’ being a key barrier that demonstrates how personal opinions of the concept of adoption can have a great significance on the outcome and whether other variables will come into effect.

Suggested Citation

  • Rana, Nripendra P. & Barnard, Daniel J. & Baabdullah, Abdullah M.A. & Rees, Daniel & Roderick, Sian, 2019. "Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM," International Journal of Information Management, Elsevier, vol. 44(C), pages 141-153.
    • Handle: RePEc:eee:ininma:v:44:y:2019:i:c:p:141-153
    DOI: 10.1016/j.ijinfomgt.2018.10.009
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    2. Fuli Zhou & Yandong He & Felix T. S. Chan & Panpan Ma & Francesco Schiavone, 2022. "Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach," SAGE Open, , vol. 12(1), pages 21582440221, February.
    3. Mkedder, Nadjim & Das, Manish, 2024. "Metaverse integration challenges: An in-depth ISM and MICMAC analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Fateme Kaghazloo & Ana Clara Borrego, 2022. "Designing a Model of the Factors Affecting Tax professionals' Tax noncompliant behaviour using The ISM Approach," Public Organization Review, Springer, vol. 22(4), pages 1099-1120, December.
    5. Mkedder, Nadjim & Jain, Varsha & Salunke, Parth, 2024. "Determinants of virtual reality stores influencing purchase intention: An interpretive structural modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    6. Perengki Susanto & Mohammad Enamul Hoque & Verselly Nisaa & Md Asadul Islam & Yusniza Kamarulzaman, 2023. "Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model," SAGE Open, , vol. 13(3), pages 21582440231, July.
    7. Darell Edmond & Vijay Prakash & Lalit Garg & Seema Bawa, 2022. "Adoption of Cloud Services in Central Banks: Hindering Factors and the Recommendations for Way Forward," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 123-143.

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