IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04276023.html
   My bibliography  Save this paper

An Artificial-Intelligence-Based Omnichannel Blood Supply Chain: A Pathway for Sustainable Development

Author

Listed:
  • A.M. Ghouri
  • H.R. Khan
  • V. Mani
  • M.A.U. Haq
  • Ana Beatriz Lopes de Sousa Jabbour

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School)

Abstract

We formulated and tested an innovative omnichannel blood supply chain (OBSC) model based on artificial intelligence (AI) using inputs raised in semi structured interviews conducted with heath care practitioners in a blood supply chain. The proposed AI-based OBSC model addresses the supply and demand imbalance in crucial situations for blood supply chains. A resource dependence theory bottom-up approach was applied to underpin the OBSC model. This model consists of two parts: (a) helping to find the closest and fastest available blood supply (omnichannel perspective) and (b) raising a blood supply request among university students (with the help of the university's IT system) through SMS messaging in case of emergencies or blood shortages (AI perspective). This OBSC model is significant because it contributes to the United Nations' Sustainable Development Goals, specifically the goal 3 to ``ensure healthy lives and promote well-being for all at all ages.'' \textcopyright 2023 Elsevier Inc.

Suggested Citation

  • A.M. Ghouri & H.R. Khan & V. Mani & M.A.U. Haq & Ana Beatriz Lopes de Sousa Jabbour, 2023. "An Artificial-Intelligence-Based Omnichannel Blood Supply Chain: A Pathway for Sustainable Development," Post-Print hal-04276023, HAL.
    • Handle: RePEc:hal:journl:hal-04276023
    DOI: 10.1016/j.jbusres.2023.113980
    Note: View the original document on HAL open archive server: https://normandie-univ.hal.science/hal-04276023v1
    as

    Download full text from publisher

    File URL: https://normandie-univ.hal.science/hal-04276023v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbusres.2023.113980?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
    ---><---

    References listed on IDEAS

    as
    1. Mohamadreza Fazli-Khalaf & Soheyl Khalilpourazari & Mohammad Mohammadi, 2019. "Mixed robust possibilistic flexible chance constraint optimization model for emergency blood supply chain network design," Annals of Operations Research, Springer, vol. 283(1), pages 1079-1109, December.
    2. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Fahimnia, Behnam & Jabbarzadeh, Armin & Ghavamifar, Ali & Bell, Michael, 2017. "Supply chain design for efficient and effective blood supply in disasters," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 700-709.
    4. Alvaro Almeida & Joana Vales, 2020. "The impact of primary health care reform on hospital emergency department overcrowding: Evidence from the Portuguese reform," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(1), pages 368-377, January.
    5. Ali Marvi & Seyyed Mojtaba Shahraini & Najmoddin Yazdi & Ali Maleki, 2021. "Iran and COVID-19: A Bottom-up, Faith-Driven, Citizen-Supported Response," Public Organization Review, Springer, vol. 21(4), pages 723-740, December.
    6. He, Hongwei & Harris, Lloyd, 2020. "The impact of Covid-19 pandemic on corporate social responsibility and marketing philosophy," Journal of Business Research, Elsevier, vol. 116(C), pages 176-182.
    7. Davidsson, Per & Wiklund, Johan, 1997. "Values, beliefs and regional variations in new firm formation rates," Journal of Economic Psychology, Elsevier, vol. 18(2-3), pages 179-199, April.
    8. Renton, Michelle & Richard, James E., 2020. "Entrepreneurship in marketing: Socializing partners for brand governance in EM firms," Journal of Business Research, Elsevier, vol. 113(C), pages 180-188.
    9. Kamble, Sachin S. & Gunasekaran, Angappa & Ghadge, Abhijeet & Raut, Rakesh, 2020. "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    10. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    11. Miquel-Romero, Maria-Jose & Frasquet, Marta & Molla-Descals, Alejandro, 2020. "The role of the store in managing postpurchase complaints for omnichannel shoppers," Journal of Business Research, Elsevier, vol. 109(C), pages 288-296.
    12. Carlos Cordon & Pau Garcia-Milà & Teresa Ferreiro Vilarino & Pablo Caballero, 2016. "The Customer Chain: The Omnichannel and the Omnichain," Management for Professionals, in: Strategy is Digital, chapter 4, pages 65-83, Springer.
    13. Michael Flacandji & Nina Krey, 2020. "Remembering shopping experiences: The Shopping Experience Memory Scale," Post-Print hal-03219821, HAL.
    14. David R. Bell & Santiago Gallino & Antonio Moreno, 2020. "Customer Supercharging in Experience-Centric Channels," Management Science, INFORMS, vol. 66(9), pages 4096-4107, September.
    15. Watanabe, Chihiro & Akhtar, Waleed & Tou, Yuji & Neittaanmäki, Pekka, 2021. "Amazon's New Supra-Omnichannel: Realizing Growing Seamless Switching for Apparel During COVID-19," Technology in Society, Elsevier, vol. 66(C).
    16. Flacandji, Michaël & Krey, Nina, 2020. "Remembering shopping experiences: The Shopping Experience Memory Scale," Journal of Business Research, Elsevier, vol. 107(C), pages 279-289.
    17. Wildman, John & Hollingsworth, Bruce, 2009. "Blood donation and the nature of altruism," Journal of Health Economics, Elsevier, vol. 28(2), pages 492-503, March.
    18. Neslin, Scott A., 2022. "The omnichannel continuum: Integrating online and offline channels along the customer journey," Journal of Retailing, Elsevier, vol. 98(1), pages 111-132.
    19. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    20. Wen Zhao & Yu-Sheng Zheng, 2000. "Optimal Dynamic Pricing for Perishable Assets with Nonhomogeneous Demand," Management Science, INFORMS, vol. 46(3), pages 375-388, March.
    21. Monique M. Kuglitsch & Ivanka Pelivan & Serena Ceola & Mythili Menon & Elena Xoplaki, 2022. "Facilitating adoption of AI in natural disaster management through collaboration," Nature Communications, Nature, vol. 13(1), pages 1-3, December.
    22. Simon Robertson, 2021. "Transparency, trust, and integrated assessment models: An ethical consideration for the Intergovernmental Panel on Climate Change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    23. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    24. Gao, Wei & Fan, Hua & Li, Wenqian & Wang, Huiling, 2021. "Crafting the customer experience in omnichannel contexts: The role of channel integration," Journal of Business Research, Elsevier, vol. 126(C), pages 12-22.
    25. Bengio, Yoshua & Lodi, Andrea & Prouvost, Antoine, 2021. "Machine learning for combinatorial optimization: A methodological tour d’horizon," European Journal of Operational Research, Elsevier, vol. 290(2), pages 405-421.
    26. Moshtari, Mohammad & Altay, Nezih & Heikkilä, Jussi & Gonçalves, Paulo, 2021. "Procurement in humanitarian organizations: Body of knowledge and practitioner's challenges," International Journal of Production Economics, Elsevier, vol. 233(C).
    27. Pagani, Margherita & Racat, Margot & Hofacker, Charles F., 2019. "Adding Voice to the Omnichannel and How that Affects Brand Trust," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 89-105.
    28. Hokey Min & Wen-Bin 'Vincent' Yu, 2008. "Collaborative planning, forecasting and replenishment: demand planning in supply chain management," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 7(1), pages 4-20.
    29. Jain, Shilpi & Basu, Sriparna & Dwivedi, Yogesh K & Kaur, Sumeet, 2022. "Interactive voice assistants – Does brand credibility assuage privacy risks?," Journal of Business Research, Elsevier, vol. 139(C), pages 701-717.
    30. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
    31. von Briel, Frederik, 2018. "The future of omnichannel retail: A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 217-229.
    32. Sara Cheraghi & Seyyed-Mahdi Hosseini-Motlagh, 2020. "Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study," Annals of Operations Research, Springer, vol. 291(1), pages 129-167, August.
    33. Behzad Zahiri & Mir Saman Pishvaee, 2017. "Blood supply chain network design considering blood group compatibility under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2013-2033, April.
    34. Carlsson, B & Stankiewicz, R, 1991. "On the Nature, Function and Composition of Technological Systems," Journal of Evolutionary Economics, Springer, vol. 1(2), pages 93-118, April.
    35. Tania Bucic & Jennifer Harris & Denni Arli, 2012. "Ethical Consumers Among the Millennials: A Cross-National Study," Journal of Business Ethics, Springer, vol. 110(1), pages 113-131, September.
    36. Ghaida Al-Warith & Christoph Moss, 2021. "Case Study Dutch National Police: Building Trust with a Corporate Newsroom," Management for Professionals, in: Christoph Moss (ed.), The Corporate Newsroom, chapter 10, pages 129-136, Springer.
    37. Fei Gao & Xuanming Su, 2018. "Omnichannel Service Operations with Online and Offline Self-Order Technologies," Management Science, INFORMS, vol. 64(8), pages 3595-3608, August.
    38. Nikolaos D. Philippas & Christos Avdoulas, 2020. "Financial literacy and financial well-being among generation-Z university students: Evidence from Greece," The European Journal of Finance, Taylor & Francis Journals, vol. 26(4-5), pages 360-381, March.
    39. Jing-Sheng Song & Geert-Jan van Houtum & Jan A. Van Mieghem, 2020. "Capacity and Inventory Management: Review, Trends, and Projections," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 36-46, January.
    40. Sun, Yongqiang & Yang, Chaofan & Shen, Xiao-Liang & Wang, Nan, 2020. "When digitalized customers meet digitalized services: A digitalized social cognitive perspective of omnichannel service usage," International Journal of Information Management, Elsevier, vol. 54(C).
    41. Belk, Russell, 2014. "You are what you can access: Sharing and collaborative consumption online," Journal of Business Research, Elsevier, vol. 67(8), pages 1595-1600.
    42. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh, 2019. "An enhanced procedure for managing blood supply chain under disruptions and uncertainties," Annals of Operations Research, Springer, vol. 283(1), pages 1413-1462, December.
    43. Soheyl Khalilpourazari & Shima Soltanzadeh & Gerhard-Wilhelm Weber & Sankar Kumar Roy, 2020. "Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study," Annals of Operations Research, Springer, vol. 289(1), pages 123-152, June.
    44. Gonul Kochan, Cigdem & Nowicki, David R. & Sauser, Brian & Randall, Wesley S., 2018. "Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework," International Journal of Production Economics, Elsevier, vol. 195(C), pages 168-185.
    45. Kos Koklic, Mateja & Kukar-Kinney, Monika & Vida, Irena, 2022. "Consumers’ de-ownership as a predictor of dark-side digital acquisition behavior: Moderating role of moral intensity and collectivism," Journal of Business Research, Elsevier, vol. 138(C), pages 108-116.
    46. Osorio, Andres F. & Brailsford, Sally C. & Smith, Honora K., 2018. "Whole blood or apheresis donations? A multi-objective stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 193-204.
    47. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    48. Xiaoge Zhang & Felix T.S. Chan & Andrew Adamatzky & Sankaran Mahadevan & Hai Yang & Zili Zhang & Yong Deng, 2017. "An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 244-263, January.
    49. Anuj Kumar & Amit Mehra & Subodha Kumar, 2019. "Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer," Service Science, INFORMS, vol. 30(1), pages 319-338, March.
    50. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    51. Dahl, Andrew J. & Milne, George R. & Peltier, James W., 2021. "Digital health information seeking in an omni-channel environment: A shared decision-making and service-dominant logic perspective," Journal of Business Research, Elsevier, vol. 125(C), pages 840-850.
    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. Sarkar, Biswajit & Amankou, Kunomboua Anicet Cyrille & Sarkar, Mitali & Seo, Yong Won, 2024. "Online, offline, and buy-online-pick-up-in-store retail strategy under a dual-channel advertisement driven demand," Journal of Retailing and Consumer Services, Elsevier, vol. 81(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. Asadpour, Milad & Olsen, Tava Lennon & Boyer, Omid, 2022. "An updated review on blood supply chain quantitative models: A disaster perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    2. Esmaeili, Somayeh & Bashiri, Mahdi & Amiri, Amirhossein, 2023. "An exact criterion space search algorithm for a bi-objective blood collection problem," European Journal of Operational Research, Elsevier, vol. 311(1), pages 210-232.
    3. Javid Ghahremani-Nahr & Ramez Kian & Ehsan Sabet & Vahid Akbari, 2022. "A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach," Operational Research, Springer, vol. 22(5), pages 4685-4723, November.
    4. Samani, Mohammad Reza Ghatreh & Hosseini-Motlagh, Seyyed-Mahdi & Homaei, Shamim, 2020. "A reactive phase against disruptions for designing a proactive platelet supply network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    5. Ali Fallahi & Seyed Alireza Mousavian Anaraki & Hadi Mokhtari & Seyed Taghi Akhavan Niaki, 2024. "Blood plasma supply chain planning to respond COVID-19 pandemic: a case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1965-2016, January.
    6. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani & Jeremy Mattson, 2023. "Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply," Annals of Operations Research, Springer, vol. 328(1), pages 859-901, September.
    7. Kamyabniya, Afshin & Noormohammadzadeh, Zohre & Sauré, Antoine & Patrick, Jonathan, 2021. "A robust integrated logistics model for age-based multi-group platelets in disaster relief operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Seyed Amin Seyfi-Shishavan & Yaser Donyatalab & Elmira Farrokhizadeh & Sule Itır Satoglu, 2023. "A fuzzy optimization model for designing an efficient blood supply chain network under uncertainty and disruption," Annals of Operations Research, Springer, vol. 331(1), pages 447-501, December.
    9. Soheyl Khalilpourazari & Hossein Hashemi Doulabi, 2023. "A flexible robust model for blood supply chain network design problem," Annals of Operations Research, Springer, vol. 328(1), pages 701-726, September.
    10. Tirkolaee, Erfan Babaee & Golpîra, Hêriş & Javanmardan, Ahvan & Maihami, Reza, 2023. "A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    11. Abolghasemi, Mahdi & Abbasi, Babak & HosseiniFard, Zahra, 2025. "Machine learning for satisficing operational decision making: A case study in blood supply chain," International Journal of Forecasting, Elsevier, vol. 41(1), pages 3-19.
    12. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Homaei, Shamim, 2020. "Toward a coordination of inventory and distribution schedules for blood in disasters," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    13. Kees, M. Celeste & Bandoni, J. Alberto & Moreno, M. Susana, 2022. "A multi-period fuzzy optimization strategy for managing a centralized blood supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    14. Diabat, Ali & Jabbarzadeh, Armin & Khosrojerdi, Amir, 2019. "A perishable product supply chain network design problem with reliability and disruption considerations," International Journal of Production Economics, Elsevier, vol. 212(C), pages 125-138.
    15. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh, 2021. "A robust framework for designing blood network in disaster relief: a real-life case," Operational Research, Springer, vol. 21(3), pages 1529-1568, September.
    16. M. Rezaei Kallaj & M. Hasannia Kolaee & S. M. J. Mirzapour Al-e-hashem, 2023. "Integrating bloodmobiles and drones in a post-disaster blood collection problem considering blood groups," Annals of Operations Research, Springer, vol. 321(1), pages 783-811, February.
    17. Elmira Farrokhizadeh & Seyed Amin Seyfi-Shishavan & Sule Itir Satoglu, 2022. "Blood supply planning during natural disasters under uncertainty: a novel bi-objective model and an application for red crescent," Annals of Operations Research, Springer, vol. 319(1), pages 73-113, December.
    18. Meneses, Maria & Santos, Daniel & Barbosa-Póvoa, Ana, 2023. "Modelling the Blood Supply Chain," European Journal of Operational Research, Elsevier, vol. 307(2), pages 499-518.
    19. Nagurney, Anna & Dutta, Pritha, 2019. "Competition for blood donations," Omega, Elsevier, vol. 85(C), pages 103-114.
    20. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Cheraghi, Sara, 2020. "Robust and stable flexible blood supply chain network design under motivational initiatives," Socio-Economic Planning Sciences, Elsevier, vol. 70(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:hal:journl:hal-04276023. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.