Study and Development of Project Management Framework for Digitalization of Logistics Decision Making

Digital transformation reshapes industries worldwide, driving productivity, process efficiency, and competitive advantage. In supply chain management, digitalization is crucial for ensuring seamless operations and customer satisfaction, with logistics playing a pivotal role. This study addresses the challenge of selecting effective project management (PM) approaches for digitalizing logistics across diverse transport modes and organizational contexts. Adopting critical realism as the research philosophy, deductive reasoning, and a case study strategy, the study leverages secondary data from books, articles, and research papers. Key methodologies include Multiple Correspondence Analysis (MCA) to identify organizational maturity levels, thematic analysis for technology categorization, and PM concept identification.
The findings culminate in a three-dimensional matrix recommending PM strategies based on digitalization levels, technologies, and organizational maturity. Specifically, the waterfall approach suits "Inactive" organizations, a hybrid strategy is ideal for "pre-mature" organizations, and agile methods are recommended for "Mature" ones. A user-friendly application has been developed using collected data to predict corporate maturity levels. Decision-makers in logistics can utilize this tool to input digitalization and technology data, receiving tailored PM strategy recommendations to enhance their digital transformation initiatives.