IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v185y2017icp52-62.html
   My bibliography  Save this article

Rethinking the role of partnerships in global supply chains: A risk-based perspective

Author

Listed:
  • Zeng, Bingcong
  • Yen, Benjamin P.-C.

Abstract

Growing global operations on one hand drive cost down substantially but on the other hand make the supply chain more vulnerable to numerous risks. Confronted with increased risks, companies are more inclined to form partnerships and engage in supply chain collaboration consciously. Such inclination for partnerships simulates thinking of its incentives behind in association with risk management. However, traditional literature, confining its focus to individual enterprise, echoes inadequately on the role of partnerships in supply chain risk management. To bridge this gap, this paper refines the notion of risk in supply chains and proposes a model of supply chain risk system which is able to convey a risk-based view of partnerships in global supply chains. Through analytical inference it is shown that the level of collaboration among partners contributes to the resilience of supply chains. This implies that partnerships can positively affect the integration of supply chain risk system, thus benefiting operations in supply chains. A simulation program has been developed with aim to demonstrate the practical feasibility of the proposed model. Implemented in simulation, two sets of experiments have been conducted for testing the model in actual business scenarios. The experimental results manifest high consistence with the analytical prediction.

Suggested Citation

  • Zeng, Bingcong & Yen, Benjamin P.-C., 2017. "Rethinking the role of partnerships in global supply chains: A risk-based perspective," International Journal of Production Economics, Elsevier, vol. 185(C), pages 52-62.
    • Handle: RePEc:eee:proeco:v:185:y:2017:i:c:p:52-62
    DOI: 10.1016/j.ijpe.2016.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527316303814
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2016.12.004?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. Jan A. Van Mieghem & Maqbool Dada, 1999. "Price Versus Production Postponement: Capacity and Competition," Management Science, INFORMS, vol. 45(12), pages 1639-1649, December.
    2. George A. Zsidisin & Bob Ritchie (ed.), 2009. "Supply Chain Risk," International Series in Operations Research and Management Science, Springer, number 978-0-387-79934-6, April.
    3. Listes, Ovidiu & Dekker, Rommert, 2005. "A stochastic approach to a case study for product recovery network design," European Journal of Operational Research, Elsevier, vol. 160(1), pages 268-287, January.
    4. Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
    5. Kauppi, Katri & Longoni, Annachiara & Caniato, Federico & Kuula, Markku, 2016. "Managing country disruption risks and improving operational performance: risk management along integrated supply chains," International Journal of Production Economics, Elsevier, vol. 182(C), pages 484-495.
    6. Scott Carr & William Lovejoy, 2000. "The Inverse Newsvendor Problem: Choosing an Optimal Demand Portfolio for Capacitated Resources," Management Science, INFORMS, vol. 46(7), pages 912-927, July.
    7. Hallikas, Jukka & Karvonen, Iris & Pulkkinen, Urho & Virolainen, Veli-Matti & Tuominen, Markku, 2004. "Risk management processes in supplier networks," International Journal of Production Economics, Elsevier, vol. 90(1), pages 47-58, July.
    8. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
    9. Matthew J. Robson & Constantine S. Katsikeas & Daniel C. Bello, 2008. "Drivers and Performance Outcomes of Trust in International Strategic Alliances: The Role of Organizational Complexity," Organization Science, INFORMS, vol. 19(4), pages 647-665, August.
    10. Jiri Chod & Nils Rudi, 2005. "Resource Flexibility with Responsive Pricing," Operations Research, INFORMS, vol. 53(3), pages 532-548, June.
    11. Vedran Kordic (ed.), 2008. "Supply Chain," Books, IntechOpen, number 26, January-J.
    12. James D. Dana Jr., 1999. "Using Yield Management to Shift Demand When the Peak Time is Unknown," RAND Journal of Economics, The RAND Corporation, vol. 30(3), pages 456-474, Autumn.
    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. Mao, Jinzhou & Yang, Siying, 2024. "Changes in supply chain relationships and the enterprise internationalization process," Research in International Business and Finance, Elsevier, vol. 67(PB).
    2. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Shashi & Piera Centobelli & Roberto Cerchione & Myriam Ertz, 2020. "Managing supply chain resilience to pursue business and environmental strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1215-1246, March.
    4. Liliana Avelar-Sosa & Jorge L. García-Alcaraz & José M. Mejía-Muñoz & Aidé A. Maldonado-Macías & Giner Alor Hernández, 2018. "Government Support and Market Proximity: Exploring Their Relationship with Supply Chain Agility and Financial performance," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    5. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    6. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    7. Zhi Li & Guanghao Jin & Shen Duan, 2018. "Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-10, October.
    8. López, Cristina & Ishizaka, Alessio, 2019. "A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience," Journal of Business Research, Elsevier, vol. 103(C), pages 495-507.
    9. Dadsena, Krishna Kumar & Sarmah, S.P. & Naikan, V.N.A. & Jena, Sarat Kumar, 2019. "Optimal budget allocation for risk mitigation strategy in trucking industry: An integrated approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 37-55.
    10. Satyendra Kumar Sharma & Praveen Ranjan Srivastava & Ajay Kumar & Anil Jindal & Shivam Gupta, 2023. "Supply chain vulnerability assessment for manufacturing industry," Annals of Operations Research, Springer, vol. 326(2), pages 653-683, July.
    11. Bygballe, Lena E. & Dubois, Anna & Jahre, Marianne, 2023. "The importance of resource interaction in strategies for managing supply chain disruptions," Journal of Business Research, Elsevier, vol. 154(C).
    12. Zhuo, Wenyan & Shao, Lusheng & Yang, Honglin, 2018. "Mean–variance analysis of option contracts in a two-echelon supply chain," European Journal of Operational Research, Elsevier, vol. 271(2), pages 535-547.
    13. M. Ali Ülkü & Melek Akgün & Uday Venkatadri & Claver Diallo & Simranjeet S. Chadha, 2020. "Managing Environmental and Operational Risks for Sustainable Cotton Production Logistics: System Dynamics Modelling for a Textile Company," Logistics, MDPI, vol. 4(4), pages 1-20, December.

    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. Jain, Tarun & Hazra, Jishnu, 2017. "Sourcing strategies under agglomeration economies, capacity risks and retail competition," International Journal of Production Economics, Elsevier, vol. 191(C), pages 311-322.
    2. Munir, Manal & Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2020. "Supply chain risk management and operational performance: The enabling role of supply chain integration," International Journal of Production Economics, Elsevier, vol. 227(C).
    3. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    4. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    5. Yang, L. & Ng, C.T. & Cheng, T.C.E., 2011. "Optimal production strategy under demand fluctuations: Technology versus capacity," European Journal of Operational Research, Elsevier, vol. 214(2), pages 393-402, October.
    6. Xingang Wen & Peter M. Kort & Dolf Talman, 2017. "Volume flexibility and capacity investment: a real options approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1633-1646, December.
    7. Chua, Geoffrey A. & Lim, Wei Shi & Yeo, Wee Meng, 2016. "Market structure and the value of overselling under stochastic demands," European Journal of Operational Research, Elsevier, vol. 252(3), pages 900-909.
    8. Wei Shi Lim, 2009. "Overselling in a Competitive Environment: Boon or Bane?," Marketing Science, INFORMS, vol. 28(6), pages 1129-1143, 11-12.
    9. Kinshuk Jerath & Sang-Hyun Kim & Robert Swinney, 2017. "Product Quality in a Distribution Channel with Inventory Risk," Marketing Science, INFORMS, vol. 36(5), pages 747-761, September.
    10. Dongling Cai & Li Jiang, 2020. "The Bright and Dark Sides of Customer Switching," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1381-1396, June.
    11. Yang, Liu & Ng, C.T., 2014. "Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint," European Journal of Operational Research, Elsevier, vol. 236(2), pages 511-521.
    12. Qin, Zhongfeng & Ji, Xiaoyu, 2010. "Logistics network design for product recovery in fuzzy environment," European Journal of Operational Research, Elsevier, vol. 202(2), pages 479-490, April.
    13. LI, Li, 2019. "Cooperative purchasing and preactive inventory sharing – Channel balancing and performance improvement," European Journal of Operational Research, Elsevier, vol. 278(3), pages 738-751.
    14. Ravi Anupindi & Li Jiang, 2008. "Capacity Investment Under Postponement Strategies, Market Competition, and Demand Uncertainty," Management Science, INFORMS, vol. 54(11), pages 1876-1890, November.
    15. Brian Tomlin & Yimin Wang, 2008. "Pricing and Operational Recourse in Coproduction Systems," Management Science, INFORMS, vol. 54(3), pages 522-537, March.
    16. Kauppi, Katri & Longoni, Annachiara & Caniato, Federico & Kuula, Markku, 2016. "Managing country disruption risks and improving operational performance: risk management along integrated supply chains," International Journal of Production Economics, Elsevier, vol. 182(C), pages 484-495.
    17. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    18. Jiang, Li, 2012. "The implications of postponement on contract design and channel performance," European Journal of Operational Research, Elsevier, vol. 216(2), pages 356-366.
    19. Reimann, Marc, 2012. "Accurate response by postponement," European Journal of Operational Research, Elsevier, vol. 220(3), pages 619-628.
    20. Yingxue Zhao & Tsan-Ming Choi & T. C. E. Cheng & Shouyang Wang, 2017. "Mean-risk analysis of wholesale price contracts with stochastic price-dependent demand," Annals of Operations Research, Springer, vol. 257(1), pages 491-518, October.

    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:proeco:v:185:y:2017:i:c:p:52-62. 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.elsevier.com/locate/ijpe .

    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.