Technology Adoption and Business Survival of Food Businesses in Port Harcourt, Rivers State, Nigeria

  • Macaulay E. Wegwu Department of Management, Faculty of Management Sciences, University of Port Harcourt
Keywords: business survival, online ordering & payment, online presence, technology adoption

Abstract

The study was conducted to examine the relationship between Technology Adoption and Business survival of food businesses in Port Harcourt, Rivers state. The intersection of technological adoption and its impact on enhancing operational efficiency, customer satisfaction and attainment of long-term survival of food businesses in Port Harcourt has been a subject of concern, and a problem that has necessitated this research. To provide solution to this problem, this study explained the main objective, posited three specific objectives, three research questions and three research hypotheses in order to examine the implications of online presence of food vendor on business survival, the relationship between online payment & ordering on business survival, and also, the moderating influence of Entrepreneurial experience on technology adoption and business survival in Rivers State. The study employed a cross sectional survey, the use of copies of questionnaire to generate data. Thus, 48 copies of questionnaire were administered to the owners/managers of the food businesses. The entire population was used for the study with a response rate of 95%. The findings from data analysed shows the relationship that exist between online presence and business survival and the relationship that exist between online ordering & payment and business survival. The results underscore the importance of considering technology adoption as a crucial factor for operational efficiency, customer satisfaction, and attainment of food businesses survival in Rivers State.

Downloads

Download data is not yet available.

References

Adetunji, O. and Seidu, S.O. (2020) Simulation and Techno-Economic Performance of a Novel Charge Calculation and Melt Optimization Planning Model for Steel Making. Journal of Minerals and Materials Characterization and Engineering. 8, 277-300.
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391.
Agichtein, E., Castillo, C., Donato, D., Gionis, S. and Mishne, G. (2008). “Finding high-quality content in social media with an application to community-based question answering”, Proceedings of the 2008 International Conference on Web Search & Data Mining: Palo Alto, CA, Febuary 11-12.
Aigbavboa, T. J.,Anyim, F.C., Ufodiama, N.M.,& Olusanya, O.A.,(2018). How is entrepreneurship good for economic growth? Innovations: Technology, Governance, Globalization 1(1) 97–107.
Barnes, D., Clear, F., Dyerson, R., Harindranath, G., Harris, L. and Rae, A. (2012). “Web 2.0 and micro-businesses: an exploratory investigation”, Journal of Small Business and Enterprise Development, 19 (4), 687-711.
Block, R. (2011).Social persuasion: Making sense of social media for small business, Block Media, Fairfax, VA.
Cameron, K. S., & Quinn, R. E. (2006). Diagnosing and Changing Organizational Culture: Based on the Competing Values Framework. Jossey-Bass.
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: Strategy, implementation, and practice. Pearson UK.
Chen, S.-C., Li, S.-H., & Li, C.-Y. (2011). Recent related research in the technology acceptance model: A literature review. Australian Journal of Business and Management Research, 1(9), 124.
Choudhury, A., Stump, G., De, P., & De, P. (2020). E-commerce in the Cloud: Challenges and Opportunities. Journal of Organizational and End User Computing, 32(1), 47-66.
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9-37.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Dewett, T. (2020). Impact of POS systems on small business operations. International Journal of Applied Science and Technology, 10(1), 105-112.
Eisenbeiss, S. A., Knippenberg, D. V., & Boerner, S. (2008). "Transformational leadership and team innovation: Integrating team climate principles." Journal of Applied Psychology, 93(6), 1438-1446.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.
Fleming, R. S. (2012). Ensuring organizational resilience in times of crisis. Journal of Global Business Issues. Retrieved from ABI/INFORM complete database.
Garvin, D. A. (1987). Competing on the eight dimensions of quality. Harvard Business Review.
Grewal, D. and Levy, M. (2013).Marketing. McGraw-Hill Publishing, New York, NY.
Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing32(1), 47-66.
Hamel, G., & Välikangas, L. (2003). The quest for resilience. Harvard Business Review, 81(9), 52-63.
Jagongo, A. & Kinyua, C. (2013). The Social Media and Entrepreneurship Growth. InternationalJournal of Humanities and Social Science, 3 (10), 213-227.
Kalu, R. E. & Etim K. D., (2017). Impact of global trends on business adaptability. Journal of Retailing, 80(4), 297-305.
Kardaras, D., & Papathanassiou, E. (2017). Data-driven business model innovation. Business Horizons, 60(6), 785-796.
Kim, H., Shin, B., & Lee, H. G. (2018). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 86, 125-133.
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2019). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 120, 1-13.
Mugo, D., Njagi, K., Chemwei, B., & Motanya, J. (2017). The Technology Acceptance Model (TAM) and its Application to the Utilization of Mobile Learning Technologies. British Journal of Mathematics & Computer Science, 20, 1-8.
Naude, P., Zaefarian, G., Tavani, Z. N., Neghabi, S. & Zaefarian, R. (2014). The influence of network effects on SME performance. Industrial Marketing Management, 43, 630-641.
Ogbeibu, S.,Chneneke, M.&Etuk, E. J., (2019). Augmenting environmental sustainability through the exchange of green creative ideas:Evidence from an emerging economy.Sustainable Production and Consumption, 26, 275–287.
Okpeva T. O., and B. C. Onuoha, (2023). Finance and business survival of fish in Warri, Delta State. International Academy Journal of Management Annals.8(10), 13-25.
Olatunji, T., (2019). The impact of study habits on academic performance in mathematics: The Case of Senior Secondary School Students, Munich. GRIN Verlag.
Opara E.A., Anderson, E. & Weitz, B. (2020). The use of pledges to build and sustain commitment in distribution channels. Journal of Marketing Research, 29, 18–35.
Pacheco Dias, M.F. and Ladeira, J. (2020) ‘Combinatorial analysis of eco-innovation drivers in Slaughterhouses’, Innovation & Management Review, 19(4), 306–321.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing25(1), 217-226.
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-Learning. Educational Technology & Society, 12(3), 150-162.
Payne, A., & Frow, P. (2005). A strategic framework for customer relationship management. Journal of Marketing118(3), 616-633.
Pick, T. (2013). 101 vital social media and digital marketing statistics for the rest of 2013. Available at: www.business2community.com/social-media/101-vital-social-media-and-digital-marketing-statistics-for-the-rest-of-2013-0573850 (accessed April 2013).
Ma, Q., & Liu, L. (2004). The Technology Acceptance Model: A Meta-Analysis of Empirical Findings. JOEUC, 16, 59-72.
Mishriff, A. and Khan, A., (2023). Technology adoption as survival strategy for small and medium enterprises during COVID-19. Journal of Innovation and Entrepreneurship, 25(1), 217-226.
Rogers, E. M. (1962). Diffusion of innovations. Free Press.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Schein, E. H. (2010). Organizational Culture and Leadership. Jossey-Bass.
Sen, S., Padmanabhan, B., White, N.H. and Stein, R. (1998). The identification and satisfaction of consumer analysis-driven information needs of marketers on the WWW.European Journal of Marketing. 32 (7/8), 688-702.
Shroff, R. H., Deen, C. C., & NG, M. W. E. (2011). Analysis of the technology acceptance model in examining students' behavioral intention to use an e-portfolio system.
Smith, A. N. (2019). Consumer privacy in the age of big data: Recognizing threats, defending your rights, and protecting your family. University of California Press.
Tornatzky, L. G., & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington Books.
Wang, D., Liu, C., Zhang, W., & Zhang, X. (2021). How does online shopping affect the physical retail industry? A review of the literature. International Journal of Production Economics, 230, 107935.
Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading Digital: Turning Technology into Business Transformation. Harvard Business Review Press.
Wu, P. H., & Chen, Y. (2017). Factors affecting the adoption of online food ordering services: the moderating role of social technology anxiety. Industrial Management & Data Systems, 117(5), 956-973.
Yukl, G. (2006). Leadership in Organizations. Pearson Education.
Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2018). Services Marketing: Integrating Customer Focus Across the Firm. McGraw-Hill Education.
Zhou, T., Li, H., Liu, Y., & Zhou, N. (2018). Time perspective and online food ordering. Industrial Management & Data Systems, 118(3), 616-633.
Published
2025-03-01
How to Cite
Wegwu, M. (2025). Technology Adoption and Business Survival of Food Businesses in Port Harcourt, Rivers State, Nigeria. GPH-International Journal of Business Management, 8(02), 41-61. https://doi.org/10.5281/zenodo.14950015