IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p15885-d1279047.html
   My bibliography  Save this article

Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value

Author

Listed:
  • Donghun Lee

    (Department of Industrial and Management Engineering, Incheon National University, Incheon 22012, Republic of Korea)

  • Jongeun Kim

    (Department of Industrial and Management Engineering, Incheon National University, Incheon 22012, Republic of Korea)

  • Seokwoo Song

    (Department of Supply Chain & Management Information Systems, Weber State University, Ogden, UT 84403, USA)

  • Kwanho Kim

    (Department of Industrial and Management Engineering, Incheon National University, Incheon 22012, Republic of Korea)

Abstract

Discovering sustainable business partnerships is crucial for small and medium-sized companies, where they can realize potential value through operational resources and abilities. Prior studies have mostly focused on predicting and developing new business partners using various machine learning techniques or social network analyses. However, effectively estimating potential benefits from business partnerships is much more valuable to companies. Therefore, this study proposes a method which combines deep learning and network analyses to estimate the potential value of business partnerships for companies. To demonstrate the effectiveness of the proposed method, we expand business partnerships between companies and assess potential value derived from the parenthesis using business transaction data collected from the Republic of Korea. The results suggest that companies can gain more potential value from extended networks when compared to previous ones. Furthermore, potential value results show clear distinctions between industries. Our findings provide evidence that small and medium-sized companies can experience significant benefits by establishing adequate business partnerships.

Suggested Citation

  • Donghun Lee & Jongeun Kim & Seokwoo Song & Kwanho Kim, 2023. "Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value," Sustainability, MDPI, vol. 15(22), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15885-:d:1279047
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/15885/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/22/15885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarkis, Joseph & Dhavale, Dileep G., 2015. "Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework," International Journal of Production Economics, Elsevier, vol. 166(C), pages 177-191.
    2. McGuire, Jean & Dow, Sandra, 2002. "The Japanese keiretsu system: an empirical analysis," Journal of Business Research, Elsevier, vol. 55(1), pages 33-40, January.
    3. Jafar Rezaei & Roland Ortt & Paul Trott, 2015. "How SMEs can benefit from supply chain partnerships," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1527-1543, March.
    4. Dong-Young Kim & Pengcheng Zhu & Wenli Xiao & Yen-Ting Lin, 2020. "Customer degree centrality and supplier performance: the moderating role of resource dependence," Operations Management Research, Springer, vol. 13(1), pages 22-38, June.
    5. Kao, Ta-Wei (Daniel) & Simpson, N.C. & Shao, Benjamin B.M. & Lin, Winston T., 2017. "Relating supply network structure to productive efficiency: A multi-stage empirical investigation," European Journal of Operational Research, Elsevier, vol. 259(2), pages 469-485.
    6. Seiler, A. & Papanagnou, C. & Scarf, P., 2020. "On the relationship between financial performance and position of businesses in supply chain networks," International Journal of Production Economics, Elsevier, vol. 227(C).
    7. Chopra, Sunil, 2003. "Designing the distribution network in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 123-140, March.
    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. Simpson, N.C. & Tacheva, Zhasmina & Kao, Ta-Wei, 2023. "Semi-directedness: New network concepts for supply chain research," International Journal of Production Economics, Elsevier, vol. 256(C).
    2. Rasool Lavaei Adaryani & Khalil Kalantari & Ali Asadi & Amir Alambeigi & Hesamedin Gholami & Naser Seifollahi, 2023. "Information sharing antecedents in the supply chain: a dynamic network perspective," Operations Management Research, Springer, vol. 16(2), pages 887-903, June.
    3. Brouthers, Lance Eliot & Gao, Yan & Napshin, Stuart, 2014. "Keiretsu centrality — profits and profit stability: A power dependence perspective," Journal of Business Research, Elsevier, vol. 67(12), pages 2603-2610.
    4. Maria Björklund & Helena Forslund, 2019. "Challenges Addressed by Swedish Third-Party Logistics Providers Conducting Sustainable Logistics Business Cases," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    5. Davis-Sramek, Beth & Robinson, Jessica L. & Darby, Jessica L. & Thomas, Rodney W., 2020. "Exploring the differential roles of environmental and social sustainability in carrier selection decisions," International Journal of Production Economics, Elsevier, vol. 227(C).
    6. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
    7. Lou, Zhaohui & Xie, Qizhuo & Shen, Jim Huangnan & Lee, Chien-Chiang, 2024. "Does Supply Chain Finance (SCF) alleviate funding constraints of SMEs? Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).
    8. Yang Yang & Xuezheng Chen & Jing Gu & Hamido Fujita, 2019. "Alleviating Financing Constraints of SMEs through Supply Chain," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    9. Lyons, Andrew Charles & Um, Juneho & Sharifi, Hossein, 2020. "Product variety, customisation and business process performance: A mixed-methods approach to understanding their relationships," International Journal of Production Economics, Elsevier, vol. 221(C).
    10. Péter Bajor & Adrián Horváth, 2008. "The role of decision-making parameters in constructing and re-engineering of distribution networks," Proceedings Papers of Business Sciences: Symposium for Young Researchers (FIKUSZ) 2008, in: László Áron Kóczy (ed.),FIKUSZ 2008 Business Sciences - Symposium for Young Researchers: Proceedings, pages 55-63, Óbuda University, Keleti Faculty of Business and Management.
    11. H. Khorshidian & M. Akbarpour Shirazi & S. M. T. Fatemi Ghomi, 2019. "An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 163-184, January.
    12. Holzapfel, Andreas & Potoczki, Tobias & Kuhn, Heinrich, 2023. "Designing the breadth and depth of distribution networks in the retail trade," International Journal of Production Economics, Elsevier, vol. 257(C).
    13. Timo Gschwind & Stefan Irnich & Simon Emde & Christian Tilk, 2018. "Branch-Cut-and-Price for the Scheduling Deliveries with Time Windows in a Direct Shipping Network," Working Papers 1805, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    14. Jimin Shim & Joonho Moon & Won Seok Lee & Namho Chung, 2021. "The Impact of CSR on Corporate Value of Restaurant Businesses Using Triple Bottom Line Theory," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    15. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    16. Choi, Yoon K. & Han, Seung Hun, 2013. "Corporate restructuring, financial deregulation, and firm value: Evidence from Japanese “spin-ins”," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 1-13.
    17. Jiuping Xu & Xianglan Jiang & Zhibin Wu, 2016. "A Sustainable Performance Assessment Framework for Plastic Film Supply Chain Management from a Chinese Perspective," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    18. Eduardo Álvarez-Miranda & Jordi Pereira, 2021. "A Districting Application with a Quality of Service Objective," Mathematics, MDPI, vol. 10(1), pages 1-21, December.
    19. Nihan Kabadayı, 2020. "An Integrated Fuzzy DEMATEL and Intuitionistic Fuzzy TOPSIS Method to Evaluate Sustainable Suppliers," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 201-226, December.
    20. Shi, Jinyan & Yang, Jianheng & Li, Yanxi, 2020. "Does supply network location affect corporate investment efficiency?," Research in International Business and Finance, Elsevier, vol. 51(C).

    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:jsusta:v:15:y:2023:i:22:p:15885-:d:1279047. 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.