Effect Of Supply Chain Intelligence On Business Model Innovation: Mediating Role Of Data-Driven Decision Making

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Date
2023
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KNUST
Abstract
The purpose of this study was to investigate role of data-driven decision making in the relationship between supply chain intelligence and business model innovation (BMI) among hotels in emerging markets. The study employed cross-sectional survey design and a quantitative approach that combined descriptive and explanatory research methods. Both the explanatory and descriptive designs were used to describe and then analyze the interplay between the variables. The participants in the survey were hotel and restaurant managers and owners in Ghana. The primary data was gathered via an in-depth questionnaire sent to 293 hotel and restaurant managers and owners in Ghana. The study used a convenient sampling strategy. The assumptions of the research were tested using Structural Equation Modeling in the form of SmartPLS 4. The data was summarized using descriptive statistics. The research results showed that supply chain intelligence significantly affects the business model innovation. The mediation research also found that the connection between supply chain intelligence and business model innovation is mediated by data-driven culture. The results suggest that if hotel managers actively engage in, and place a premium on, supply chain intelligence and a data-driven culture, then business model innovation will improve throughout the sector. It was recommended that hotel company managers optimize the supply chain in numerous ways via the use of cutting-edge technology and an increase in supply chain intelligence.
Description
A thesis submitted to the department of supply chain and information systems, knust 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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