Impact of industry 4.0 capabilities in achieving supply chain innovation. The mediating role of data-driven decision making in Ghana

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Date
2023
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KNUST
Abstract
The main objective is to examine the mediating role of data-driven decision-making and the impact of Industry 4.0 capabilities on supply chain innovation in Ghana. The study employed a cross-sectional research design. This survey was conducted using a quantitative approach. Stratified sampling was used to choose 381 participants. A prepared questionnaire was the main tool used for data collection. Both SPSS v26 and SmartPls v4 were used for the statistical analysis. Both descriptive and inferential approaches were used to analyse the data. The result reveals that industry 4.0 had a significant direct influence on SC innovation and data-driven decision-making. The result also concludes that data-driven decision making has a direct effect on SC innovation. The results indicate that data-driven decision making positively and fully mediates interactions between industry 4.0 and SC innovation. The study, therefore, concluded that managements should constantly review and change their approaches, remind their personnel to make decisions based on facts, not emotions, and choose to reason over instinct when presented with actual data that contradicts their beliefs to gather data and draw conclusions, have the real-time capacity, and makes decisions virtually and decentralised to innovate supply chain operations, regularly innovate supply chain service, and innovate technologically.
Description
A Thesis submitted to the Department of Supply Chain and Information Systems, School of Business, in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
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