Alignment of innovation diffusion and project management to increase logistics digitalization
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 qualitat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2025-07-01
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| Series: | Business, Management and Economics Engineering |
| Subjects: | |
| Online Access: | https://jbem.vilniustech.lt/index.php/BMEE/article/view/23680 |
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| Summary: | 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 case-study 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.
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| ISSN: | 2669-2481 2669-249X |