Effect of Technology Organization Environment Framework in Business Strategy on Decision Making of Small and Medium Enterprises in Lagos, Nigeria
DOI:
https://doi.org/10.33003/fujafr-2025.v3i2.157.1-15Keywords:
Operational Efficiency, SMEs, Business Strategy, TOE Framework, Data AnalyticsAbstract
This study examined effect of Technology Organization Environment (TOE) framework in business strategy on decision making of small and medium enterprises (SME) in Lagos-Nigeria. Using the TOE framework, the research explored how technological, organizational, and environmental factors influence business strategy. A quantitative approach was employed, with data collected from 350 SME managers through a structured questionnaire. The analysis using descriptive statistics and multiple linear regression revealed several key factors influencing the adoption of TOE framework. Operational efficiency and competitive advantage were identified as significant drivers of adoption of TOE. On the other hand, limited technical expertise, high implementation costs, and lack of awareness emerged as major barriers. The model demonstrated strong predictive power, capturing a substantial portion of the variance in data in technology-organization environment adoption. The findings underscored the need for targeted interventions, such as training programs, cost-effective tools, and awareness campaigns, to enhance adoption among SMEs. This study contributes to the literature by providing empirical evidence on the factors influencing TOE adoption in a developing economic context and offers practical recommendations for SMEs, policymakers, and stakeholders.
References
Adzandeh, U. H., Ohi, O. M., & Umogbai, M. E. (2024). Organisational Factors and Business Analytics Implementation of Selected Small and Medium Enterprises in Makurdi Metropolis, Benue State, Nigeria. Journal of African Resilience and Advancement Research.
Alshamaila, Y. Y. (2013). An empirical investigation of factors affecting cloud computing adoption among SMEs in the Northeast of England. Doctoral dissertation, Newcastle University. DOI: https://doi.org/10.1108/17410391311325225
Aminu-Abdullahi, A. A., & Abubakar, A. (2024). Bibliometric Analysis of Accounting Literature on Artificial Intelligence (AI) Adoption in Organizational Functions. FUDMA Journal of Accounting and Finance Research [FUJAFR], 2(3), 153–171. DOI: https://doi.org/10.33003/fujafr-2024.v2i3.126.153-171
Asad, M., Asif, M. U., Bakar, L. J. A., & Altaf, N. (2021). Entrepreneurial orientation, big data analytics, and SMEs performance under the effects of environmental turbulence. In 2021 International conference on data analytics for business and industry (ICDABI) (pp. 144-148). IEEE. DOI: https://doi.org/10.1109/ICDABI53623.2021.9655870
David-West, O., Muritala, O., & Umukoro, I. O. (2019). SME techno-entrepreneurship: drivers and barriers in sub-Saharan Africa. In Handbook of Research on Techno-Entrepreneurship, Third Edition (pp. 277-298). Edward Elgar Publishing. DOI: https://doi.org/10.4337/9781786439079.00023
Donaldson, L. (2001). The contingency theory of organizations. Sage. DOI: https://doi.org/10.4135/9781452229249
Edobor, F., & Sambo-Magaji, A. (2025). Small and Medium Enterprises (SMEs) and Sustainable Economic Development. In Digital Transformation for Business Sustainability and Growth in Emerging Markets (pp. 197-222). Emerald Publishing Limited. DOI: https://doi.org/10.1108/978-1-83549-109-620251008
Fabian, A. A., Uchechukwu, E. S., & Blessing, E. O. (2024). Business Intelligence and Decision-Making in Micro Small and Medium Enterprises in Africa. Scholarly Journal of Economics and Business Management, 4, 124-133. DOI: https://doi.org/10.36347/sjebm.2024.v11i04.003
Ghaleb, E. A., Dominic, P. D. D., Fati, S. M., Muneer, A., & Ali, R. F. (2021). The assessment of big data adoption readiness with a technology–organization–environment framework: a perspective towards healthcare employees. Sustainability, 13(15), 8379. DOI: https://doi.org/10.3390/su13158379
Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of business research, 108, 147-162. DOI: https://doi.org/10.1016/j.jbusres.2019.09.062
Hossain, M. K., Srivastava, A., Oliver, G. C., Islam, M. E., Jahan, N. A., Karim, R., & Mahdi, T. H. (2024). Adoption of artificial intelligence and big data analytics: an organizational readiness perspective of the textile and garment industry in Bangladesh. Business Process Management Journal, 30(7), 2665-2683. DOI: https://doi.org/10.1108/BPMJ-11-2023-0914
Ijomah, T. I., Idemudia, C., Eyo-Udo, N. L., & Anjorin, K. F. (2024). Harnessing marketing analytics for enhanced decision-making and performance in SMEs. World Journal of Advanced Science and Technology, 6(1), 001-012. DOI: https://doi.org/10.53346/wjast.2024.6.1.0037
Lutfi, A., Al-Khasawneh, A. L., Almaiah, M. A., Alshira’h, A. F., Alshirah, M. H., Alsyouf, A., & Ali, R. A. (2022). Antecedents of big data analytic adoption and impacts on performance: Contingent effect. Sustainability, 14(23), 15516. DOI: https://doi.org/10.3390/su142315516
Malik, S., Chadhar, M., Vatanasakdakul, S., & Chetty, M. (2021). Factors affecting the organizational adoption of block chain technology: Extending the technology–organization–environment (TOE) framework in the Australian context. Sustainability, 13(16), 9404. DOI: https://doi.org/10.3390/su13169404
Mavutha, W. (2024). Identifying obstacles to evaluating business intelligence in Micro-Small Apparel Enterprises: a case study in Durban, South Africa. International Journal of Research in Business and Social Science, 13(5), 121-132. DOI: https://doi.org/10.20525/ijrbs.v13i5.3314
Nguyen, T. H., Le, X. C., & Vu, T. H. L. (2022). An extended technology-organization-environment (TOE) framework for online retailing utilization in digital transformation: Empirical evidence from Vietnam. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 200. DOI: https://doi.org/10.3390/joitmc8040200
Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. Electronic journal of information systems evaluation, 14(1), pp110-121.
Omowole, B. M., Olufemi-Philips, A. Q., Ofadile, O. C., Eyo-Udo, N. L., & Ewim, S. E. (2024). Big data for SMEs: A review of utilization strategies for market analysis and customer insight. International Journal of Frontline Research in Multidisciplinary Studies, 5(1), 001-018. DOI: https://doi.org/10.56781/ijsrms.2024.5.2.0044
Oyelaran-Oyeyinka, B., & Lal, K. (2022). Industrialization and economic diversification: Post-crisis development agenda in Asia and Africa. Routledge. DOI: https://doi.org/10.4324/9781003245322
Salman, R., Abogun, S., Lambo, I. A., Yunus, A. B., & Sanni, P. A. (2024). Impact of financial statements information on market share price of listed insurance firms in Nigeria. FUDMA Journal of Accounting and Finance Research [FUJAFR], 2(4), 111–121. DOI: https://doi.org/10.33003/fujafr-2024.v2i4.146.111-121
Shahadat, M. H., Nekmahmud, M., Ebrahimi, P., & Fekete-Farkas, M. (2023). Digital technology adoption in SMEs: what technological, environmental and organizational factors influence in emerging countries? Global Business Review, 09721509221137199. DOI: https://doi.org/10.1177/09721509221137199
Simeon, D. R. (2024). Emerging Trends in the Adoption of Innovative Technologies by Building Firms in Lagos Metropolis. Journal of Project Management Practice (JPMP), 4(2), 53-76. DOI: https://doi.org/10.22452/jpmp.vol4no2.4
Tagang, J. D., Ahmed, A., I. Ningi, S., & Shittu, I. O. (2024). An Assessment of Information Management Practices and the Containment of Financial Crimes in Nigeria. FUDMA Journal of Accounting and Finance Research [FUJAFR], 2(4), 82–90. DOI: https://doi.org/10.33003/fujafr-2024.v2i4.143.82-90
Temowo, O. (2024) "The Impact of Technology-Driven Supply Chain Systems on Market Penetration of SMES In Developing Economies: A Study of Nigerian SMES." Dissertation, Georgia State University.
Tornatzky, L. and Fleischer, M. (1990). The process of technology innovation. Lexington, MA, Lexington Books.
Woodward, J. (1965). Industrial organization: Theory and Practice. Oxford University Press.
Yamane, T. (1973) Statistics: An Introductory Analysis. 3rd Edition, Harper and Row, New York.
Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L. (2006). Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European journal of information systems, 15(6), 601-616. DOI: https://doi.org/10.1057/palgrave.ejis.3000650
Downloads
Published
Issue
Section
License
Copyright (c) 2025 FUDMA Journal of Accounting and Finance Research [FUJAFR]

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The FUDMA Journal of Accounting and Finance Research (FUJAFR) operates a copyright policy that ensures a balance between author rights and wide dissemination of scholarly work.
1. Author Copyright Retention
Authors retain full copyright of their published work without restriction. Submission to FUJAFR does not transfer ownership of copyright to the journal.
2. License to Publish
By submitting a manuscript and upon acceptance, authors grant FUJAFR:
- The right to publish, reproduce, and distribute the article
- The right to identify itself as the original publisher of the work
This grant is non-exclusive, meaning authors are free to reuse their work in other contexts, provided proper acknowledgment of the original publication in FUJAFR is made.
3. Licensing of Published Content
All articles are published under the:
Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0)
Under this license:
- Users may share and adapt the work for non-commercial purposes only
- Proper attribution to the author(s) and the journal is required
- Any commercial use requires explicit permission from the copyright holder
4. Author Reuse Rights
Authors are permitted to:
- Archive their published articles in institutional repositories or personal websites
- Share their work for educational and research purposes
- Reuse portions of their work in future publications (e.g., books or other articles), provided proper citation of the original publication is included
5. Third-Party Content
Authors are responsible for obtaining permission to use any third-party copyrighted material (e.g., images, tables, datasets) included in their manuscripts. Proper acknowledgment must be provided where required.
6. Attribution Requirement
All users of FUJAFR content must provide appropriate credit, including:
- Author name(s)
- Article title
- Journal name (FUJAFR)
- Year of publication












