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International Journal of Information Systems and Project Management

Abstract

In the current era, e-logistics technologies have become commonplace in businesses to enhance supply chain and associated data analytics efficiencies. However, while contributing significantly to the GDPs in many countries, the fishing industry has been slow at adopting new technologies. Many slow adopters in this industry continue to use outdated data collection methods, thereby resulting in less-than-optimal data-driven decision-making. While prior research has examined the role of emerging technologies in the industry, there has been limited research to date to understand adoption issues. Our study therefore investigates factors that influence the adoption of e-logistics technologies in the fishing industry, using the Western Cape province in South Africa as the study site. The research investigated these factors using the Security-Technology-Organisation-Environment-Diffusion-of-Innovation framework. Qualitative data was collected via semi-structured interviews. The findings provide a rich insight into several adoption factors that demonstrate an interplay of technological innovations, organisational dynamics, and the environment within the industry. The findings were synthesized into an e-logistics technology adoption model. This paper enriches the existing literature on technology adoption, contributing insights for fishing industry stakeholders, and lays the foundation for informed decision-making in the realm of e-logistics integration.

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