Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM |
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| Institution: | 1. School of Management, Swansea University Bay Campus, Fabian Way, Swansea, SA1 8EN, UK;2. Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. Department of Business Systems and Operations, University of Bedfordshire Business School, Park Square, Luton LU1 3JU, UK;2. University of Bedfordshire Business School, Park Square, Luton LU1 3JU, UK;3. Ulster Business School, University of Ulster, Newtownabbey, BT37 0QB, UK;1. South Tehran Branch – Islamic Azad University, Faculty of Management and Accounting, Department of Information Technology Management, Shariati Ave., Tehran, Iran;2. South Tehran Branch – Islamic Azad University, Tehran, Iran;1. Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL, Lisboa, Portugal;2. Instituto Universitário de Lisboa (ISCTE-IUL), IT-IUL, Lisboa, Portugal;3. Intelligent Systems Research and Innovations (IISRI), Deakin University, Waurn Ponds, VIC, 3216, Australia;1. Department of Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL 33199, United States;2. Department of Supply Chain & Information Systems, College of Business, Iowa State University, 3311 Gerdin Business Building, Ames, IA 50011, United States |
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| 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. |
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| Keywords: | M-commerce Adoption Barriers SMEs ISM Wales |
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