Exploring perceived cost, benefit, and compatibility as technological contextual determinants of mobile commerce adoption in SMEs: A TOE model perspective
More Matlakala ORCID ↗
International Journal of Research in Business and Social Science · 2025 · Vol. 14 / Issue 8 · 58-70
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Abstract
This research explores the technological factors that influence the adoption of mobile commerce by small and medium enterprises (SMEs) in the Polokwane Municipality. Using a quantitative approach, data were gathered from 146 SME owners, randomly selected from a total population of 261. The study applied descriptive statistics, analysis of variance (ANOVA), and regression techniques to examine the relationships between variables. ANOVA was used to evaluate the sub-hypotheses, while regression analysis tested the primary hypotheses. The instruments used in the study demonstrated strong internal consistency, with all Cronbach’s alpha values exceeding 0.7. Additionally, the Kolmogorov-Smirnov test confirmed that the data met the assumption of normality. The results showed that perceived cost, perceived benefit, and perceived compatibility each play a significant role in influencing m-commerce adoption. These findings offer valuable insights into the internal technological considerations that impact digital uptake in SMEs. The study provides both academic value by contributing to the theoretical understanding of technology adoption, and practical guidance for enhancing m-commerce use within the SME sector, particularly in similar socio-economic environments.
Keywords: {'name': 'Perceived benefits, Perceived Costs, Perceived Compatibility, Mobile Commerce'}
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More Matlakala
North-West University
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DOI: 10.1108/17410391311325225
DOI: 10.1108/SJME-03-2018-007
Bouazza, A. B., Ardjouman, D., & Abada, O. (2015). Establishing the factors affecting the growth of small and medium-sized enterprises in Algeria. American International Journal of Social Science, 4(2), 101–115.
Business Insider SA. (2019). The definitions of micro, small, and medium businesses have just been radically overhauled – here’s how. https://www.businessinsider.co.za/micro-small-and-medium-business-definition-update-by-sector-2019-3
DOI: 10.1080/00207543.2012.693961
DOI: 10.1016/j.procs.2018.10.061
DOI: 10.4018/JGIM.2021010103
Chiu, C. Y., Chen, S., & Chen, C. L. (2017). An integrated perspective of TOE framework and innovation diffusion in broadband mobile applications adoption by enterprises. International Journal of Management, Economics and Social Sciences, 6(1), 14–39.
Chivizhe, T. V. (2019). Analysing the adoption of Awesome South Africa mobile travel application as a marketing strategy (Master’s thesis). Faculty of Commerce.
Choudhury, D., & Dey, A. (2014). Online shopping attitude among the youth: A study on university students. International Journal of Entrepreneurship and Development Studies, 2(1), 23–32.
DOI: 10.4102/sajim.v20i1.817
Cuomo, J. (2013). 4 reasons your business needs a mobile development platform. InformationWeek. http://www.informationweek.com/mobile/mobile-business/4-reasons-your-businessneeds-a-mobile-development-platform/d/d-id/1112768
DePietro, R., Wiarda, E., & Fleischer, M. (1990). The context for change: Organization, technology and environment. In The processes of technological innovation (pp. 151–175).
Donner, J., Gitau, S., & Marsden, G. (2011). Exploring mobile-only Internet use: Results of a training study in urban South Africa. International Journal of Communication, 5, 24.
DOI: 10.4018/jebr.2008100101
DOI: 10.20472/BM.2015.3.4.001
DOI: 10.1002/j.1681-4835.2015.tb00491.x
DOI: 10.1108/02635571111170785
Global Mobile Consumer Survey. (2017). The South African cut. Deloitte.
DOI: 10.1002/jsc.2103
DOI: 10.5171/2016.682007
DOI: 10.1142/S0219622011004543
DOI: 10.4102/sajim.v22i1.1166
Johnson, V. L., Woolridge, R. W., Wang, W., & Bell, J. R. (2019). The impact of perceived privacy, accuracy, and security on the adoption of mobile self-checkout systems. Journal of Innovation Economics & Management, 165–187.
DOI: 10.1016/j.chb.2015.01.012
DOI: 10.1002/rwm3.20403
DOI: 10.18775/jibrm.1849-8558.2015.22.3003
DOI: 10.1016/j.dss.2005.05.009
DOI: 10.6007/IJARAFMS/v3-i3/79
DOI: 10.3390/su12166454
DOI: 10.58729/1941-6687.1303
DOI: 10.1016/j.ijinfomgt.2016.04.018
DOI: 10.6007/IJARBSS/v6-i5/2166
Malak, J. (2016). Technological, organizational, and environmental factors influencing cloud adoption (Doctoral dissertation, Walden University).
Matangira, L. (2018). Nearly 60% of South Africans now have access to the internet. Eyewitness News.
DOI: 10.4067/S0718-18762020000100102
DOI: 10.4067/S0718-18762017000200004
Nakhumwa, J. N. (2013). Adoption of e-commerce payment systems by commercial banks in Kenya (Master’s dissertation, University of Nairobi).
O’Dea, S. (2020). Number of smartphone users in South Africa (2014–2023). Statista.
DOI: 10.1080/23311975.2019.1644715
Okyle, C. (2016). It’s 2016, but nearly half of US small businesses still don’t have a website. Entrepreneur.
Oliveira, T., & Martins, M. F. (2010). Information technology adoption models at firm level. In European Conference on Information Systems Management (p. 312).
Pahwa, A. (2018). What is m-commerce? The rise of mobile commerce. Feedough.
DOI: 10.1016/j.sbspro.2015.06.423
DOI: 10.2991/itmr.2017.6.3.4
Rind, M. M., Hyder, M., Saand, A. S., Alzabi, T., Nawaz, H., & Ujan, I. (2017). Perceived cost and perceived risk in mobile commerce. International Journal of Computer Science and Network Security, 17(11), 124–130.
DOI: 10.4018/jgim.2012070102
DOI: 10.1007/978-3-642-37437-1_16
Shaban, A. R. A. (2016). South Africa leads adult smartphone use on the continent. Africanews.
Silver, L. (2019). Smartphone ownership is growing rapidly around the world. Pew Research Center.
Singh, S., & Islam, J. (2015). Emergence of m-commerce in India. Advances in Economics and Business Management, 2(5), 529–533.
Stafford, C. (2016). Competitive advantages of mobile apps for customers and employees.
Stanley, R. (2015). Mobile apps in the workforce: Overcoming challenges.
DOI: 10.1108/02635570910930118
DOI: 10.1002/j.1681-4835.2017.tb00609.x
DOI: 10.1108/02635570910939399
DOI: 10.1016/j.im.2004.07.001
Zaltman, G., & Dubois, B. (1971). New conceptual approaches in the study of innovation. ACR Special Volumes.
DOI: 10.1287/mnsc.1050.0487