Browsing by Author "Ofori Asante David"

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    The essence of Information Technology (IT) in Supply Chain management. A case study of Manufacturing firms in Ghana
    (KNUST, 2023) Ofori Asante David
    The primary aim of this research is to evaluate the impact of information technology in supply chain management among manufacturing firms in Ghana. The research is quantitative. This study uses descriptive and explanatory research designs. Two hundred (200) individuals were selected using stratified random sampling. SPSS v26 performed the statistical analysis. Competitive pressure, staff knowledge, and relational advantage seem to impact supply chain IT adoption and use. Relational advantage and organisational preparation do not significantly affect supply chain IT implementation intentions. Transcranial Magnetic Stimulation (TMS) seems to negatively correlate with Artificial Intelligence (AI). Employee knowledge and competitive pressure strongly impact supply chain IT adoption intentions. The results show that integrating IT into supply chain (SC) management improves logistical efficiency. The research found that firms must be able to make educated judgements and adopt strategies to enhance logistics performance to gain a competitive advantage.
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    The essence of Information Technology (IT) in Supply Chain management. A case study of Manufacturing firms in Ghana
    (KNUST, 2023) Ofori Asante David
    The primary aim of this research is to evaluate the impact of information technology in supply chain management among manufacturing firms in Ghana. The research is quantitative. This study uses descriptive and explanatory research designs. Two hundred (200) individuals were selected using stratified random sampling. SPSS v26 performed the statistical analysis. Competitive pressure, staff knowledge, and relational advantage seem to impact supply chain IT adoption and use. Relational advantage and organisational preparation do not significantly affect supply chain IT implementation intentions. Transcranial Magnetic Stimulation (TMS) seems to negatively correlate with Artificial Intelligence (AI). Employee knowledge and competitive pressure strongly impact supply chain IT adoption intentions. The results show that integrating IT into supply chain (SC) management improves logistical efficiency. The research found that firms must be able to make educated judgements and adopt strategies to enhance logistics performance to gain a competitive advantage.