IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v200y2024ics004016252300834x.html
   My bibliography  Save this article

Assessing the influence of artificial intelligence on agri-food supply chain performance: the mediating effect of distribution network efficiency

Author

Listed:
  • El Bhilat, El Mehdi
  • El Jaouhari, Asmae
  • Hamidi, L. Saadia

Abstract

The urge for greater agri-food supply chain efficiency (AFSCE) has been gaining in prominence increasingly, spurred on by escalating logistics costs and advances in industry 4.0 technologies (e.g artificial intelligence AI). The latter significant contributions in logistics have led academics to point their attention more to AI utility in operations management. Drawing on dynamic capability view (DCV) and organizational information-processing theories, this study aims to examine the effect of AI based technologies on reducing wastes and minimizing afri-food supply chain costs, hence increasing organization profitability. It also analyzes how outbound logistics and distribution network efficiency (DNE) (warehousing, transportation, packaging, etc.) mediates the relationship between AI and AFSCE. This research investigates the moderating impact of AI adoption impediments (AIAI) on the mediating correlation between AI, DNE and AFSCE as well. Using Partial Least Square-Structural Equation Modeling (PLS-SEM) approach, conceptual model and hypothesis were analyzed and tested with 348 responses collected from executives and managers in the Moroccan agri-food industry. As a novel result, distribution network efficiency and by way of mediation AFSCE and organization performance are found to be directly and positively affected by AI integration. The researchers find also that with more AIAI, the relationship between the aforementioned variables weakens.

Suggested Citation

  • El Bhilat, El Mehdi & El Jaouhari, Asmae & Hamidi, L. Saadia, 2024. "Assessing the influence of artificial intelligence on agri-food supply chain performance: the mediating effect of distribution network efficiency," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s004016252300834x
    DOI: 10.1016/j.techfore.2023.123149
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252300834X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.123149?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Horváth, Dóra & Szabó, Roland Zs., 2019. "Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 119-132.
    2. Asaf Tzachor, 2021. "Barriers to AI Adoption in Indian Agriculture: An Initial Inquiry," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 12(3), pages 30-44, July.
    3. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    4. Samanthi Kumari Weerabahu & Premaratne Samaranayake & S.W. Sarath Dasanayaka & Chaminda Nalaka Wickramasinghe, 2021. "Challenges of agri-food supply in city region food systems: an emerging economy perspective," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 12(2), pages 161-182, May.
    5. Andrejić, Milan & Bojović, Nebojša & Kilibarda, Milorad, 2016. "A framework for measuring transport efficiency in distribution centers," Transport Policy, Elsevier, vol. 45(C), pages 99-106.
    6. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
    7. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
    8. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    9. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    10. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    11. Karantininis, Kostas & Sauer, Johannes & Furtan, William Hartley, 2010. "Innovation and integration in the agri-food industry," Food Policy, Elsevier, vol. 35(2), pages 112-120, April.
    12. Lau, Kwok Hung, 2013. "Measuring distribution efficiency of a retail network through data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 598-611.
    13. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    14. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    15. Wang, Jianxin & Lim, Ming K. & Zhan, Yuanzhu & Wang, XiaoFeng, 2020. "An intelligent logistics service system for enhancing dispatching operations in an IoT environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    16. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    17. Kosior, Katarzyna, 2018. "Digital Transformation in the Agri-Food Sector – Opportunities and Challenges," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2018(2).
    18. Liu, Weihua & Zhang, Jiahui & Shi, Yangyan & Lee, Paul Tae-Woo & Liang, Yanjie, 2022. "Intelligent logistics transformation problems in efficient commodity distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    19. Charlotte Perkins Gilman, 1917. "The Housekeeper and the Food Problem," The ANNALS of the American Academy of Political and Social Science, , vol. 74(1), pages 123-130, November.
    20. Alain de Janvry & Elisabeth Sadoulet, 2010. "Agriculture for Development in Africa: Business-as-Usual or New Departures?-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 19(suppl_2), pages 7-39.
    21. Constance E. Helfat & Margaret A. Peteraf, 2003. "The dynamic resource‐based view: capability lifecycles," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 997-1010, October.
    22. Nesrin Ada & Yigit Kazancoglu & Muruvvet Deniz Sezer & Cigdem Ede-Senturk & Idil Ozer & Mangey Ram, 2021. "Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    23. Sook Fern Yeo & Cheng Ling Tan & Ajay Kumar & Kim Hua Tan & Jee Kit Wong, 2022. "Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry," Post-Print hal-03628402, HAL.
    24. Olof Stenius & Ayşe Gönül Karaarslan & Johan Marklund & A. G. de Kok, 2016. "Exact Analysis of Divergent Inventory Systems with Time-Based Shipment Consolidation and Compound Poisson Demand," Operations Research, INFORMS, vol. 64(4), pages 906-921, August.
    25. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
    26. Assunta Di Vaio & Flavio Boccia & Loris Landriani & Rosa Palladino, 2020. "Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    27. Behnke, Kay & Janssen, M.F.W.H.A., 2020. "Boundary conditions for traceability in food supply chains using blockchain technology," International Journal of Information Management, Elsevier, vol. 52(C).
    28. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2019. "Digital Supply Chain, Smart Operations and Industry 4.0," Springer Texts in Business and Economics, in: Global Supply Chain and Operations Management, edition 2, chapter 16, pages 481-526, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).

    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. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    2. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    3. Simone Sehnem & Adriane A. Farias S. L. de Queiroz & Susana Carla Farias Pereira & Gabriel dos Santos Correia & Edson Kuzma, 2022. "Circular economy and innovation: A look from the perspective of organizational capabilities," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 236-250, January.
    4. Shore, Adam & Tiwari, Manisha & Tandon, Priyanka & Foropon, Cyril, 2024. "Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs," Technovation, Elsevier, vol. 135(C).
    5. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    6. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    7. Wong, David T.W. & Ngai, Eric W.T., 2023. "The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 265(C).
    8. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    9. Yadav, Sanjeev & Samadhiya, Ashutosh & Kumar, Anil & Luthra, Sunil & Kumar, Vikas & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2024. "The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance: An organizational information processing theory perspective," Technology in Society, Elsevier, vol. 77(C).
    10. Enrique, Daisy Valle & Lerman, Laura Visintainer & Sousa, Paulo Renato de & Benitez, Guilherme Brittes & Bigares Charrua Santos, Fernando M. & Frank, Alejandro G., 2022. "Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments," International Journal of Production Economics, Elsevier, vol. 250(C).
    11. Jiatong Yu & Jiajue Wang & Taesoo Moon, 2022. "Influence of Digital Transformation Capability on Operational Performance," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    12. André de Abreu Saraiva Monteiro Alves & Fernando Manuel Pereira de Oliveira Carvalho, 2022. "How Dynamic Managerial Capabilities, Entrepreneurial Orientation, and Operational Capabilities Impact Microenterprises’ Global Performance," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
    13. Quan Anh Nguyen & Gillian Sullivan Mort, 0. "Conceptualising organisational-level and microfoundational capabilities: an integrated view of born-globals’ internationalisation," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-23.
    14. Torres, Juan Pablo & Barrera, Jose Ignacio & Kunc, Martin & Charters, Steve, 2021. "The dynamics of wine tourism adoption in Chile," Journal of Business Research, Elsevier, vol. 127(C), pages 474-485.
    15. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
    16. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    18. Trkman, Peter, 2010. "The critical success factors of business process management," International Journal of Information Management, Elsevier, vol. 30(2), pages 125-134.
    19. Peter Ping Li & Shameen Prashantham & Abby Jingzi Zhou & Steven Shijin Zhou, 2022. "Compositional springboarding and EMNE evolution," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(4), pages 754-766, June.
    20. Insu Cho & Young Hoon Kwak & Jaehyeon Jun, 2019. "Sustainable Idea Development Mechanism in University Technology Commercialization (UTC): Perspectives from Dynamic Capabilities Framework," Sustainability, MDPI, vol. 11(21), pages 1-16, November.

    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:eee:tefoso:v:200:y:2024:i:c:s004016252300834x. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.