IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v196y2023ics0040162523004894.html
   My bibliography  Save this article

Cooperation in an uncertain environment: The impact of stakeholders' concerted action on collaborative innovation projects risk management

Author

Listed:
  • Liu, Zhixue
  • Ding, Ronggui
  • Wang, Lei
  • Song, Rui
  • Song, Xinyi

Abstract

Due to the impact of the epidemic, the risk management strategies of stakeholders in the project have undergone significant changes. Recently, more and more companies have adopted collaborative innovation to develop new businesses. While in an uncertain environment, it is difficult for stakeholders to generate complete trust to integrate resources to achieve systematic management of project risks. Concerted action by stakeholders becomes a viable solution to this problem. Based on collaborative theory and risk management lifecycle, this paper proposes a stakeholder-risk integration analysis framework and builds a double-layer network model to verify it. A case study was conducted, including parallel simulation experiments with different concerted action strategies. The results show that project risks can be effectively controlled when stakeholders take concerted actions to deal with the risks. Under the conditions of complex stakeholder and risk relationships in collaborative innovation projects, stakeholders can achieve systematic risk control through behavioral cooperation without devoting their personal resources, which is beneficial to protect stakeholders' interests. Our research will contribute to the theory by promoting risk management research from the perspective of resource integration to organization and action integration. Finally, we make recommendations for management and future research.

Suggested Citation

  • Liu, Zhixue & Ding, Ronggui & Wang, Lei & Song, Rui & Song, Xinyi, 2023. "Cooperation in an uncertain environment: The impact of stakeholders' concerted action on collaborative innovation projects risk management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523004894
    DOI: 10.1016/j.techfore.2023.122804
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523004894
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.122804?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. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    2. Paolo Roffia & Lapo Mola, 2022. "Is COVID-19 enough? Which underestimated conditions characterise the adoption of complex information infrastructures in small and medium-sized enterprises," Post-Print halshs-03910413, HAL.
    3. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, April.
    4. Fan, Miao & Lin, Neng-Pai & Sheu, Chwen, 2008. "Choosing a project risk-handling strategy: An analytical model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 700-713, April.
    5. Fu, Xin & Qiang, Yongjie & Liu, Xuxu & Jiang, Ying & Cui, Zhiwei & Zhang, Deyu & Wang, Jianwei, 2022. "Will multi-industry supply chains' resilience under the impact of COVID-19 pandemic be different? A perspective from China's highway freight transport," Transport Policy, Elsevier, vol. 118(C), pages 165-178.
    6. Chen, Ji & Huang, Jiayan & Su, Weihua & Štreimikienė, Dalia & Baležentis, Tomas, 2021. "The challenges of COVID-19 control policies for sustainable development of business: Evidence from service industries," Technology in Society, Elsevier, vol. 66(C).
    7. Lo, Chih-Cheng & Wang, Chun-Hsien & Huang, Chun-Chien, 2013. "The national innovation system in the Taiwanese photovoltaic industry: A multiple stakeholder perspective," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 893-906.
    8. Ma, Fei & Yao, Bing, 2018. "A family of small-world network models built by complete graph and iteration-function," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2205-2219.
    9. Chung, Demi & Hensher, David A. & Rose, John M., 2010. "Toward the betterment of risk allocation: Investigating risk perceptions of Australian stakeholder groups to public-private-partnership tollroad projects," Research in Transportation Economics, Elsevier, vol. 30(1), pages 43-58.
    10. Gomes, Leonardo Augusto de Vasconcelos & dos Santos, Matheus Graciani & Facin, Ana Lúcia Figueiredo, 2022. "Uncertainty management in global innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    11. Amoozad Mahdiraji, Hannan & Sedigh, Maryam & Razavi Hajiagha, Seyed Hossein & Garza-Reyes, Jose Arturo & Jafari-Sadeghi, Vahid & Dana, Leo-Paul, 2021. "A novel time, cost, quality and risk tradeoff model with a knowledge-based hesitant fuzzy information: An R&D project application," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    12. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    13. Shaikh, Ibrahim & Randhawa, Krithika, 2022. "Managing the risks and motivations of technology managers in open innovation: Bringing stakeholder-centric corporate governance into focus," Technovation, Elsevier, vol. 114(C).
    14. Roffia, Paolo & Mola, Lapo, 2022. "Is COVID-19 enough? Which underestimated conditions characterise the adoption of complex information infrastructures in small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 144(C), pages 1249-1255.
    15. Roper, Stephen & Tapinos, Efstathios, 2016. "Taking risks in the face of uncertainty: An exploratory analysis of green innovation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 357-363.
    16. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    17. Pfeifer, Jeremy & Barker, Kash & Ramirez-Marquez, Jose E. & Morshedlou, Nazanin, 2015. "Quantifying the risk of project delays with a genetic algorithm," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 34-44.
    18. Fang, Chao & Marle, Franck & Zio, Enrico & Bocquet, Jean-Claude, 2012. "Network theory-based analysis of risk interactions in large engineering projects," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 1-10.
    19. Santamaría, Luis & Nieto, María Jesús & Rodríguez, Alicia, 2021. "Failed and successful innovations: The role of geographic proximity and international diversity of partners in technological collaboration," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. Bi, Kexin & Huang, Ping & Ye, Hui, 2015. "Risk identification, evaluation and response of low-carbon technological innovation under the global value chain: A case of the Chinese manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 238-248.
    21. Shih, Yu-Yuan & Lin, Chih-An, 2022. "Co-location with marketing value activities as manufacturing upgrading in a COVID-19 outbreak era," Journal of Business Research, Elsevier, vol. 148(C), pages 410-419.
    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. Shahsavar, Aria & Sadeghi, J. Kiarash & Shockley, Jeff & Ojha, Divesh, 2021. "On the relationship between lean scheduling and economic performance in shipbuilding: A proposed model and comparative evaluation," International Journal of Production Economics, Elsevier, vol. 239(C).
    2. Orlando Durán & Paulo Afonso & Víctor Jiménez & Katty Carvajal, 2023. "Cost of Ownership of Spare Parts under Uncertainty: Integrating Reliability and Costs," Mathematics, MDPI, vol. 11(15), pages 1-23, July.
    3. Yang, Song, 2022. "Are private equity and venture capital helping small and medium-sized enterprises during the COVID-19 pandemic? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 1-14.
    4. Rahmani, Amir & Aboojafari, Roohallah & Bonyadi Naeini, Ali & Mashayekh, Javad, 2024. "Adoption of digital innovation for resource efficiency and sustainability in the metal industry," Resources Policy, Elsevier, vol. 90(C).
    5. Jang, Hyunmi & Haddoud, Mohamed Yacine & Roh, Saeyeon & Onjewu, Adah-Kole Emmanuel & Choi, Taeeun, 2023. "Implementing smart factory: A fuzzy-set analysis to uncover successful paths," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    6. Wang, Tao & Deng, Xiaoyang & Sheng, Shibin & Jia, Yu, 2024. "Mitigating the damage of a global pandemic on the international buyer-supplier relationship: Evidence from Chinese suppliers," Journal of Business Research, Elsevier, vol. 172(C).
    7. Mohammed M. Alhaider & Ziad M. Ali & Mostafa H. Mostafa & Shady H. E. Abdel Aleem, 2023. "Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    8. Suzuki, Kenya & Wada, Ryota & Konno, Yoshihiro & Hiekata, Kazuo & Nanjo, Takashi & Nagakubo, Sadao, 2024. "Impact of epistemic uncertainty on tradeoff in model-based decision support for methane hydrate development system design," Applied Energy, Elsevier, vol. 356(C).
    9. Gessa, Ana & Jiménez, Amor & Sancha, Pilar, 2023. "Exploring ERP systems adoption in challenging times. Insights of SMEs stories," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    10. Zuo, Fei & Zio, Enrico & Xu, Yue, 2023. "Bi-objective optimization of the scheduling of risk-related resources for risk response," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    11. Ram, Jiwat, 2023. "Investigating staff capabilities to make projects resilient: A systematic literature review and future directions," International Journal of Production Economics, Elsevier, vol. 255(C).
    12. Valeria Costantini & Francesco Crespi & Giovanni Marin & Elena Paglialunga, 2016. "Eco-innovation, sustainable supply chains and environmental performance in European industries," LEM Papers Series 2016/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Alptekin Ulutaş & Ayşe Topal & Dragan Pamučar & Željko Stević & Darjan Karabašević & Gabrijela Popović, 2022. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    14. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    15. Junnan Wu & Xin Liu & Dianqi Pan & Yichen Zhang & Jiquan Zhang & Kai Ke, 2023. "Research on Safety Evaluation of Municipal Sewage Treatment Plant Based on Improved Best-Worst Method and Fuzzy Comprehensive Method," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    16. Uwe Beyer & Oliver Ullrich, 2022. "Organizational Complexity as a Contributing Factor to Underperformance," Businesses, MDPI, vol. 2(1), pages 1-15, March.
    17. Fu, Lipeng & Wang, Xueqing & Zhao, Heng & Li, Mengnan, 2022. "Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    18. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    19. Sarfaraz Hashemkhani Zolfani & Ramin Bazrafshan & Fatih Ecer & Çağlar Karamaşa, 2022. "The Suitability-Feasibility-Acceptability Strategy Integrated with Bayesian BWM-MARCOS Methods to Determine the Optimal Lithium Battery Plant Located in South America," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    20. Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

    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:196:y:2023:i:c:s0040162523004894. 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.