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Identification and Assessment of Barriers to the Implementation of Smart Infrastructure Logistics Projects

Author

Listed:
  • Tetiana Kolodizieva
  • Elina Zhelezniakova
  • Mykola Lakhyzha
  • Ihor Krupka
  • Markiian Zaplatynskyi
  • Vladyslav Andarak
  • Yaroslav Donets

Abstract

Urbanisation in the era of Industry 4.0 is characterised by the rapid development of smart cities, in the management system of which SMART logistics infrastructure plays a special role. The main hypothesis of the study is to identify critical barriers that impede the implementation of SMART infrastructure logistics projects in smart city management systems, which, combined with the use of the fuzzy set method to build a comprehensive model for assessing such barriers, will allow for the timely development of an effective mitigation strategy. Based on the generalisation of the results of theoretical research and an expert survey on the barriers to the implementation of logistics SMART infrastructure projects, 12 of the most significant barriers were identified, and it was proposed to conditionally combine them into 4 groups: organisational, political, financial and technological. The feasibility of using the fuzzy set method for modelling the integral indicator of barrier assessment for the implementation of SMART infrastructure logistics projects is substantiated, taking into account the high degree of uncertainty of the decision-making process at the early stage of planning these projects. It is proven that the use of a fuzzy model of an integral barrier assessment indicator for the implementation of SMART logistics infrastructure projects ensures their scientifically based prioritisation and will contribute to the development of optimal scenarios for the development of smart cities.

Suggested Citation

  • Tetiana Kolodizieva & Elina Zhelezniakova & Mykola Lakhyzha & Ihor Krupka & Markiian Zaplatynskyi & Vladyslav Andarak & Yaroslav Donets, 2025. "Identification and Assessment of Barriers to the Implementation of Smart Infrastructure Logistics Projects," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 168-198.
    • Handle: RePEc:bas:econst:y:2025:i:7:p:168-198
    as

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    File URL: http://archive.econ-studies.iki.bas.bg/2025/2025_07/2025_07_010.pdf
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    References listed on IDEAS

    as
    1. Ana Bošnjak & Nikša Jajac, 2023. "Determining Priorities in Infrastructure Management Using Multicriteria Decision Analysis," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    2. Robert Stanislawski & Andrzej Szymonik, 2021. "Assessment of Barriers to the Implementation of Intelligent (Smart) Logistics on the Example of Selected Systems Among Manufacturing Companies in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3 - Part ), pages 480-508.
    3. Stefano CARBONI, 2024. "Smart Cities in comparison: An analysis of the best Smart Cities," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8(3), pages 65-78, April.
    4. Elpida Xenou & Michael Madas & Georgia Ayfandopoulou, 2022. "Developing a Smart City Logistics Assessment Framework (SCLAF): A Conceptual Tool for Identifying the Level of Smartness of a City Logistics System," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    5. Oksana Omelchenko & Oleksandr Dorokhov & Oleg Kolodiziev & Liudmyla Dorokhova, 2018. "Fuzzy Modeling of the Creditworthiness Assessments of Bank’s Potential Borrowers in Ukraine," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 100-125.
    6. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    7. repec:ers:journl:v:xxiv:y:2021:i:3:p:480-508 is not listed on IDEAS
    8. Guijun Li & Yongsheng Wang & Jie Luo & Yulong Li, 2018. "Evaluation on Construction Level of Smart City: An Empirical Study from Twenty Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    9. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    10. Vitaliy Omelyanenko & Olena Omelianenko, 2023. "Infrastructure And Service Methodology For The Development Of Innovative Hromadas: General Idea And Example Of Smart City Infrastructure," Three Seas Economic Journal, Publishing house "Baltija Publishing", vol. 4(1).
    11. Yufei Fang & Zhiguang Shan, 2022. "How to Promote a Smart City Effectively? An Evaluation Model and Efficiency Analysis of Smart Cities in China," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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