The Impact of Technology on Reverse Logistics: A Case Study of Africa Global Logistics
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Date
2025-05-19
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Uganda Christian University
Abstract
This study aimed to investigate the impact of technology on reverse logistics, in the case of African Global Logistics (AGL) in Uganda. Study aims were to examine organizational and infrastructural readiness to reverse logistics technology adoption, to analyze the effect of perceived ease of use and usefulness of technology in initiating its acceptance and integration into reverse logistics processes and to assess the extent to which technological capability affects successful adoption of reverse logistics practice. Using the Technology Acceptance Model (TAM), it examines the impact of ease of use and perceived usefulness on technology reverse logistics adoption. The study conceptual framework identified system integration, automation, and digital tracking as key technology drivers with outputs of operational efficiency, cost saving, and waste disposal. Government policies and business support are intervening variables that shape technology adoption. A descriptive research design quantitative study was used and research conducted using structured questionnaires distributed to 44 employees from a population of 49 as per
Krejcie and Morgan's (1970) sample table. The sample included staff from key departments like logistics, IT, legal, and management, while random and censured sampling techniques ensured representative data gathering. Data were processed with SPSS software, conducting regression and correlation analysis to compare the relationship among variables like degree of automation, digital surveillance, and working effectiveness. The consistency of data was confirmed by Cronbach's alpha (0.890), with validity ensured through expert-reviewed questionnaires and the Coefficient of Variation (CV) method. The study also found that digital monitoring and tracking technologies are significantly embedded in reverse logistics operations, with employees having high levels of competence in using the same. Organizations also monitor products coming back to them efficiently and have effortless data sharing with partners, which further supports how critical digital solutions are in enhancing visibility and efficiency. As regards automation, the study indicates that automated systems significantly improve reverse logistics operations, particularly decision-making, product recall, and recycling management. However, although mistakes in returns handling are reduced via automation, potential exists to eliminate system disruption when combining technology. Overall, system compatibility and data-sharing capabilities are strong, but technical problems must be resolved by organizations for easier utilization of future logistic technology
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Undergraduate