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Optimizing road haulage firms' operational performance in Zimbabwe through artificial intelligence: Moderating effect of driver training

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Wydane w:International Journal of Research in Business and Social Science vol. 14, no. 7 (2025), p. 78-93
1. autor: Chibaro, Munyaradzi
Kolejni autorzy: Chisungo, Chisungo, Manyanga, Wilbert, Kanyepe, James, Chikwere, David, Bhebhe, Thomas
Wydane:
Society for the Study of Business and Finance
Hasła przedmiotowe:
Zimbabwe
Predictive maintenance
Driver education
Regions
Politics
Drivers
Inventory control
Logistics
Organizational effectiveness
Efficiency
Usefulness
Artificial intelligence
Data
Decision making
Case studies
Cost control
Inventory management
Alternative approaches
Inventory
Operating costs
Software
Training
Productivity
Happiness
Best practice
Roads & highways
Suppliers
Machine learning
Technology adoption
Sustainable development
Supply chains
Legacy systems
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Streszczenie:This study investigates the use of artificial intelligence (AI) to improve operational performance in Zimbabwean road haulage enterprises, with a focus on driver training as a moderator. As the logistics industry faces new difficulties, AI technologies have great promise for increasing efficiency and decision making. However, the usefulness of these technologies is determined by the skill levels of the drivers using them. This study demonstrated how extensive driver training improves the capacity to comprehend AI-generated insights, resulting in better route management, lower operating costs, and increased safety. This study examines how AI affects key performance variables such as cost savings, productivity, customer happiness, and environmental sustainability, using real data from road haulage companies. Key findings demonstrate how AI is transforming decision-making, improving operational effectiveness, and optimizing routes. The research highlights several noteworthy obstacles in addition to their obvious advantages, such as budgetary limitations, difficulty in obtaining pertinent data, and the need for more regionalized AI solutions. The findings, which are based on case studies and performance data from diverse enterprises, indicate that (i) organizations that invest in both AI and driver training benefit from a synergistic impact, resulting in higher operational outcomes, (ii) there is need to combine technical improvements with human experience to achieve maximum performance in Zimbabwe's competitive road-haulage market and finally (iii) this study offers helpful recommendations for successfully integrating artificial intelligence (AI) into haulage processes, along with insights into best practices and alternative approaches to overcome current obstacles. This study emphasizes the importance of context-specific solutions in emerging regions, enhancing the expanding corpus of knowledge on AI applications, particularly in logistics.
ISSN:2147-4478
DOI:10.20525/ijrbs.v14i7.4381
Źródło:ABI/INFORM Global