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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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2025-07-01
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| Series: | Business, Management and Economics Engineering |
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| Online Access: | https://jbem.vilniustech.lt/index.php/BMEE/article/view/23680 |
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| _version_ | 1849715718475481088 |
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| author | Diana Daškevič Aurelija Burinskienė |
| author_facet | Diana Daškevič Aurelija Burinskienė |
| author_sort | Diana Daškevič |
| collection | DOAJ |
| description |
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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| format | Article |
| id | doaj-art-0c786d77c2da4a178acbee4b922bcd1f |
| institution | DOAJ |
| issn | 2669-2481 2669-249X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Business, Management and Economics Engineering |
| spelling | doaj-art-0c786d77c2da4a178acbee4b922bcd1f2025-08-20T03:13:14ZengVilnius Gediminas Technical UniversityBusiness, Management and Economics Engineering2669-24812669-249X2025-07-0123210.3846/bmee.2025.23680Alignment of innovation diffusion and project management to increase logistics digitalizationDiana Daškevič0https://orcid.org/0009-0009-7451-6177Aurelija Burinskienė1https://orcid.org/0000-0002-4369-8870Vilnius Gediminas Technical UniversityVilnius Gediminas Technical University 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. https://jbem.vilniustech.lt/index.php/BMEE/article/view/23680innovation diffusion theorydigital transformationlogisticsproject management frameworks |
| spellingShingle | Diana Daškevič Aurelija Burinskienė Alignment of innovation diffusion and project management to increase logistics digitalization Business, Management and Economics Engineering innovation diffusion theory digital transformation logistics project management frameworks |
| title | Alignment of innovation diffusion and project management to increase logistics digitalization |
| title_full | Alignment of innovation diffusion and project management to increase logistics digitalization |
| title_fullStr | Alignment of innovation diffusion and project management to increase logistics digitalization |
| title_full_unstemmed | Alignment of innovation diffusion and project management to increase logistics digitalization |
| title_short | Alignment of innovation diffusion and project management to increase logistics digitalization |
| title_sort | alignment of innovation diffusion and project management to increase logistics digitalization |
| topic | innovation diffusion theory digital transformation logistics project management frameworks |
| url | https://jbem.vilniustech.lt/index.php/BMEE/article/view/23680 |
| work_keys_str_mv | AT dianadaskevic alignmentofinnovationdiffusionandprojectmanagementtoincreaselogisticsdigitalization AT aurelijaburinskiene alignmentofinnovationdiffusionandprojectmanagementtoincreaselogisticsdigitalization |