Alignment of Innovation Diffusion and Project Management to Increase Logistics Digitalization Cover Image

Alignment of Innovation Diffusion and Project Management to Increase Logistics Digitalization
Alignment of Innovation Diffusion and Project Management to Increase Logistics Digitalization

Author(s): Diana Daškevič, Aurelija Burinskienė
Subject(s): Business Economy / Management, ICT Information and Communications Technologies, Transport / Logistics
Published by: Vilnius Gediminas Technical University
Keywords: innovation diffusion theory; digital transformation; logistics; project management frameworks;

Summary/Abstract: Purpose – This paper examines how integrating Innovation Diffusion Theory (IDT) with structured project management frameworks enhances digital technology adoption in logistics, addressing challenges in ineffective implementation. Research methodology – A mixed-methods approach combines qualitative interviews with logistics executives and technology experts with quantitative analysis of adoption trends using case studies and industry data. Findings – Results highlight the complexity of digital technologies and emphasize aligning decision-making frameworks – Agile, Scrum, Kanban, and Waterfall – with organizational goals to improve digital transformation. Structured project management methodologies help firms manage complexity, mitigate risks, and optimize project execution. Research limitations – The study does not analyze all technology complexity levels or include all digital solutions in logistics. Additionally, not all technologies were linked to expert-identified success factors, limiting generalizability. Future research could use longitudinal or casestudy approaches to explore long-term impacts. Practical implications – Integrating IDT with project management frameworks and the Stacey Matrix helps logistics firms overcome adoption barriers and improve implementation success. Originality/Value – This research provides empirical evidence on structured decision-making in digital adoption. By integrating expert insights and correlation analysis, it offers practical recommendations for optimizing innovation diffusion, mitigating risks, and aligning technology implementation with strategic goals in a rapidly evolving digital landscape.

  • Issue Year: 23/2025
  • Issue No: 2
  • Page Range: 265-279
  • Page Count: 15
  • Language: English
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