E-business literacy among small and medium enterprises in Tanzania: An empirical assessment of owners' capability to adopt and run online platforms
DOI:
https://doi.org/10.51867/ajernet.7.4.22Keywords:
E-business literacy, E-commerce adoption, Digital literacy, SMEs, E-readiness, TanzaniaAbstract
Small and medium enterprises (SMEs) are the backbone of Tanzania's economy, yet many struggle to sell online. A key but under-examined barrier is e-business literacy: the knowledge and skills owners need to adopt and run online platforms, spanning the technical, marketing, payment, logistics, data-security, financial, legal and customer-management aspects of e-business. This study assessed the level and determinants of SME e-business literacy in Tanzania and its effect on the capability to adopt and run online platforms, and proposed a preliminary capability framework. A cross-sectional quantitative survey design was combined with design science research to derive the framework. Survey data were analyzed from 550 SME owners and managers across retail, fashion, food, agriculture, services and other sectors. The instrument showed high internal consistency (overall Cronbach's alpha = 0.865); sampling adequacy was met (Kaiser-Meyer-Olkin = 0.833; Bartlett's test, p < 0.001); and exploratory factor analysis returned 11 factors explaining 69.3% of the variance. Multiple linear regression explained 17.0% of the variance in adoption capability (adjusted R-squared = 0.154; F = 11.03, p < 0.001), with training access, financial records literacy, logistics literacy and legal-regulatory literacy the significant predictors. Legal-regulatory literacy and training access recorded the lowest scores, marking the biggest literacy gaps. The study contributes a validated measurement instrument, empirical evidence on the determinants of SME adoption capability, and a capability framework. It recommends that trainers and business-support bodies deliver targeted, hands-on training in the weakest and most decisive literacies, namely legal-regulatory compliance, logistics and financial record-keeping, rather than generic digital courses; that platform and payment providers simplify onboarding and provide guided support; and that government and regulators widen access to training and issue clear guidance on e-commerce rules and data protection.
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References
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77-85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information & Management, 42(1), 197-216. https://doi.org/10.1016/j.im.2003.12.010
GSMA. (2024). State of the industry report on mobile money 2024. GSM Association.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75-105. https://doi.org/10.2307/25148625
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. https://doi.org/10.1007/BF02291575
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5-44. https://doi.org/10.1257/jel.52.1.5
Molla, A., & Licker, P. S. (2005). Perceived e-readiness factors in e-commerce adoption: An empirical investigation in a developing country. International Journal of Electronic Commerce, 10(1), 83-110. https://doi.org/10.1080/10864415.2005.11043963
Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The need to promote digital financial literacy for the digital age. Asian Development Bank Institute.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Pallangyo, H. J. (2022). Cyber security challenges, its emerging trends on latest information and communication technology and cyber crime in mobile money transaction services. Tanzania Journal of Engineering and Technology, 41(2), 189-204. https://doi.org/10.52339/tjet.v41i2.792
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45-78. https://doi.org/10.2753/MIS0742-1222240302
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2019). Using multivariate statistics (7th ed.). Pearson.
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Lexington Books.
United Republic of Tanzania. (2010). The Electronic and Postal Communications Act, 2010 (Act No. 3 of 2010). Government Printer.
United Republic of Tanzania. (2022). The Personal Data Protection Act, 2022 (Act No. 11 of 2022). Government Printer.
United Republic of Tanzania, Ministry of Industry and Trade. (2003). Small and medium enterprise development policy. Ministry of Industry and Trade.
United Nations Conference on Trade and Development. (2021). Digital economy report 2021: Cross-border data flows and development: For whom the data flow.
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2011). Internet skills and the digital divide. New Media & Society, 13(6), 893-911. https://doi.org/10.1177/1461444810386774
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.
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