IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v9y2025i4p140-d1765437.html

AI Integration in Fundamental Logistics Components: Advanced Theoretical Framework for Knowledge Process Capabilities and Dynamic Capabilities Hybridization

Author

Listed:
  • Zsolt Toth

    (Engineering and Industrial Management, The Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov, 500036 Brașov, Romania)

  • Alexandru-Silviu Goga

    (Engineering and Industrial Management, The Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov, 500036 Brașov, Romania)

  • Mircea Boșcoianu

    (Engineering and Industrial Management, The Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov, 500036 Brașov, Romania)

Abstract

Background : Despite significant technological advances, many logistics organizations in emerging markets struggle to realize the transformative potential of artificial intelligence, with reported success rates below 65% and limited theoretical understanding of the organizational capabilities. This study develops and proposes an integrated theoretical framework examining how knowledge process capabilities and dynamic capabilities interact to enable successful artificial intelligence adoption in logistics organizations within emerging market contexts. Methods : Through comprehensive literature review and theoretical synthesis, we propose a hybrid capability framework that integrates knowledge-based view perspectives with dynamic capabilities theory. Results : Theoretical analysis suggests that knowledge combination capabilities may be the strongest predictor of artificial intelligence implementation success, while dynamic reconfiguring capabilities could mediate the relationship between artificial intelligence adoption and performance outcomes. The proposed framework indicates that organizations with hybrid capability architecture may achieve superior implementation success compared to traditional approaches. Environmental uncertainty is theorized to strengthen the knowledge process capabilities—artificial intelligence adoption relationship. Conclusions : The framework suggests that successful artificial intelligence integration requires simultaneous development of knowledge-based and adaptive capabilities rather than sequential capability building. The hybrid capability framework provides theoretical guidance for managers in emerging markets, while highlighting the critical role of environmental context in shaping transformation strategies.

Suggested Citation

  • Zsolt Toth & Alexandru-Silviu Goga & Mircea Boșcoianu, 2025. "AI Integration in Fundamental Logistics Components: Advanced Theoretical Framework for Knowledge Process Capabilities and Dynamic Capabilities Hybridization," Logistics, MDPI, vol. 9(4), pages 1-22, October.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:4:p:140-:d:1765437
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/9/4/140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/9/4/140/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mircea Boșcoianu & Zsolt Toth & Alexandru-Silviu Goga, 2025. "Sustainable Strategies to Reduce Logistics Costs Based on Cross-Docking—The Case of Emerging European Markets," Sustainability, MDPI, vol. 17(14), pages 1-28, July.
    2. Potoczki, Tobias & Holzapfel, Andreas & Kuhn, Heinrich & Sternbeck, Michael, 2024. "Integrated cross-dock location and supply mode planning in retail networks," International Journal of Production Economics, Elsevier, vol. 276(C).
    3. Radicic, Dragana & Petković, Saša, 2023. "Impact of digitalization on technological innovations in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Alexandru-Silviu Goga & Zsolt Toth & Mihai-Alin Meclea & Ionela-Roxana Puiu & Mircea Boșcoianu, 2024. "The Proliferation of Artificial Intelligence in the Forklift Industry—An Analysis for the Case of Romania," Sustainability, MDPI, vol. 16(21), pages 1-25, October.
    5. Amiri, Zahra & Heidari, Arash & Navimipour, Nima Jafari, 2024. "Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation," Energy, Elsevier, vol. 308(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mircea Boșcoianu & Zsolt Toth & Alexandru-Silviu Goga, 2025. "Sustainable Strategies to Reduce Logistics Costs Based on Cross-Docking—The Case of Emerging European Markets," Sustainability, MDPI, vol. 17(14), pages 1-28, July.
    2. Hornyák, Miklós & Kruzslicz, Ferenc & Lányi, Beatrix, 2023. "A kis- és középvállalatok digitális transzformációja - az online jelenlét és a versenyképesség összefüggései [The relationships between the online presence of SMEs and competitiveness]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 517-543.
    3. Ferrigno, Giulio & Barabuffi, Saverio & Marcazzan, Enrico & Piccaluga, Andrea, 2025. "What “V” of the big data support firms’ radical and incremental innovation?," Technovation, Elsevier, vol. 146(C).
    4. Broccardo, Laura & Tenucci, Andrea & Agarwal, Reeti & Alshibani, Safiya Mukhtar, 2024. "Steering digitalization and management control maturity in small and medium enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    5. Cao, Minchuan & Zhang, Boya & Deng, Junwei & Wang, Guanyu & Li, Xingwen & Huo, Jindong, 2025. "Data-driven multi-objective optimization design of eco-efficient gas circuit breaker," Energy, Elsevier, vol. 338(C).
    6. Pohrib Silvia-Daniela & Goga Alexandru-Silviu & Pîsla Adrian, 2025. "Smart ERP Systems – From Data to Decisions," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 380-401.
    7. Xiaofei Jia & Lichao Lin & Ziling Huang, 2025. "Transformative forces: how capital intensity and technological innovation shape digital evolution in Chinese enterprises," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1205-1224, December.
    8. Laudien, Sven M. & Reuter, Ute & Sendra Garcia, Francisco Javier & Botella-Carrubi, Dolores, 2024. "Digital advancement and its effect on business model design: Qualitative-empirical insights," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    9. Edeh, Jude & Olarewaju, Adeniyi D. & Kusi, Samuel Yaw, 2025. "What drives SME export intensity in transition economies? The role of infrastructure, digitalisation and innovation capabilities," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    10. Chen, Yuhang & Lv, He & Liu, Xiaoming & Wang, Lingzi & Feng, Jianmei & Peng, Xueyuan, 2026. "A comparative investigation of the operating performance and flow characteristics of regenerative flow compressors for hydrogen recirculation in a proton exchange membrane fuel cell system," Renewable Energy, Elsevier, vol. 258(C).
    11. Nieto, María Jesús & Santamaria, Luis & Bammens, Yannick, 2023. "Digitalization as a facilitator of open innovation: Are family firms different?," Technovation, Elsevier, vol. 128(C).
    12. Yunqing Liu & Ziqi Guo & Qianwen He, 2025. "Configuring Technological Innovation and Resource Synergies for Performance in New Energy Vehicle Enterprises: A Path Analysis Using Empirical and Comparative Methods," Sustainability, MDPI, vol. 17(11), pages 1-21, June.
    13. Li, Jiteng & Koo, Jabeom & Lee, Jeyoon & Wang, Peng & Zhao, Tianyi & Yoon, Sungmin, 2025. "AI agent-driven virtual in-situ calibration for intelligent building digital twins," Energy, Elsevier, vol. 339(C).
    14. Tian, Xiaohan & Lu, Haiyong, 2023. "Digital infrastructure and cross-regional collaborative innovation in enterprises," Finance Research Letters, Elsevier, vol. 58(PC).
    15. Andrea Billi & Alessandro Bernardo, 2025. "The Effects of Digital Transformation, IT Innovation, and Sustainability Strategies on Firms’ Performances: An Empirical Study," Sustainability, MDPI, vol. 17(3), pages 1-19, January.
    16. Aqiel Farhan Hafizh Wahid & Ariska Nurfajar Rini, 2024. "The Role of Internet Access for Business Owners in Accessing Kredit Usaha Rakyat (KUR) in Semarang City," Diponegoro Journal of Economics (DJOE), Faculty of Economics and Business, Universitas Diponegoro, vol. 13(4), pages 57-68.
    17. Baojun Ma & Lingyun Zhou & Yao Mu & Yi Chen & Jian Zhang, 2026. "Impact of CEO perceived dominance on corporate financial performance: an empirical study based on facial feature extraction via deep learning," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-31, December.
    18. Zhangwei Feng & Na Luo & Sihong Wu & Zheng Joseph Yan, 2025. "Trade-in marketing strategies in gaming industry: The effect of digital transformation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-17, December.
    19. Yan, Ying & Lin, Tao & Ma, Heng, 2025. "The impact of corporate climate risk on carbon intensity: Evidence from China," Energy, Elsevier, vol. 334(C).
    20. Yilmaz, Ceyhun & Arslan, Muhammed & Ozdemir, Safiye Nur & Tokgoz, Nehir, 2025. "Thermal design and genetic algorithm optimization of geothermal and solar-assisted multi-energy and hydrogen production using artificial neural networks," Energy, Elsevier, vol. 324(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:9:y:2025:i:4:p:140-:d:1765437. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.