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Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise

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  • Sheng, Margaret L.
  • Saide, Saide

Abstract

In the context of the survivability of a firm’s supply chain during the worldwide COVID-19 crisis, there is still much to be explored. This study employs the viable system model to conceptualize the virtual enterprise, big data, and knowledge ambidexterity capability that can facilitate supply chain survivability. Empirical data have been collected from various industries in Indonesia (the largest labor force in Southeast Asia). SEM-SmartPLS and SPSS were used to validate the model. The results suggest that firms need to realize that the explorative and exploitative of knowledge have different effects and are integrated in different ways into the survivability of a supply chain. The findings also revealed two roles for mediation, whereby revolutionizing the explorative of knowledge and the analytics of big data through virtual enterprise are crucial strategies to achieves the survivability of the supply chain. A novel value added is the inclusion of a systems-environment perspective and knowledge-technology matrix, especially in times of crisis.

Suggested Citation

  • Sheng, Margaret L. & Saide, Saide, 2021. "Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise," Journal of Business Research, Elsevier, vol. 137(C), pages 567-578.
    • Handle: RePEc:eee:jbrese:v:137:y:2021:i:c:p:567-578
    DOI: 10.1016/j.jbusres.2021.08.041
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    1. Yusuf, Y. Y. & Sarhadi, M. & Gunasekaran, A., 1999. "Agile manufacturing:: The drivers, concepts and attributes," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 33-43, May.
    2. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    3. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    4. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    5. Claire Palmer & Zahid Usman & Osiris Canciglieri Junior & Andreia Malucelli & Robert I. M. Young, 2018. "Interoperable manufacturing knowledge systems," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2733-2752, April.
    6. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    7. Jose Benitez & Ana Castillo & Javier Llorens & Jessica Braojos, 2018. "IT-enabled knowledge ambidexterity and innovation performance in small U.S. firms: The moderator role of social media capability," Post-Print hal-01998044, HAL.
    8. O'Reilly, Charles A., III & Tushman, Michael, 2007. "Ambidexterity as a Dynamic Capability: Resolving the Innovator's Dilemma," Research Papers 1963, Stanford University, Graduate School of Business.
    9. Iandolo, Francesca & Fulco, Irene & Bassano, Clara & D’Amore, Raffaele, 2019. "Managing a tourism destination as a viable complex system. The case of Arbatax Park," Land Use Policy, Elsevier, vol. 84(C), pages 21-30.
    10. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    11. Ojha, Divesh & Struckell, Elisabeth & Acharya, Chandan & Patel, Pankaj C., 2018. "Supply chain organizational learning, exploration, exploitation, and firm performance: A creation-dispersion perspective," International Journal of Production Economics, Elsevier, vol. 204(C), pages 70-82.
    12. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    13. Sharma, Amalesh & Adhikary, Anirban & Borah, Sourav Bikash, 2020. "Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data," Journal of Business Research, Elsevier, vol. 117(C), pages 443-449.
    14. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    15. Mani, Venkatesh & Jabbour, Charbel Jose Chiappetta & Mani, Kavitha T.N., 2020. "Supply chain social sustainability in small and medium manufacturing enterprises and firms’ performance: Empirical evidence from an emerging Asian economy," International Journal of Production Economics, Elsevier, vol. 227(C).
    16. Tliche, Youssef & Taghipour, Atour & Canel-Depitre, Béatrice, 2020. "An improved forecasting approach to reduce inventory levels in decentralized supply chains," European Journal of Operational Research, Elsevier, vol. 287(2), pages 511-527.
    17. Sheng, Margaret L. & Hartmann, Nathaniel N., 2019. "Impact of subsidiaries' cross-border knowledge tacitness shared and social capital on MNCs' explorative and exploitative innovation capability," Journal of International Management, Elsevier, vol. 25(4).
    18. Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    19. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    20. Sube Singh & Ramesh Kumar & Rohit Panchal & Manoj Kumar Tiwari, 2021. "Impact of COVID-19 on logistics systems and disruptions in food supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 1993-2008, April.
    21. Jing Deng & Jubo Li & Xiaozhong Deng, 2018. "A network-based manufacturing model for spiral bevel gears," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 353-367, February.
    22. Gary Preece & Duncan Shaw, 2019. "Structuring organisational information analysis through Viable System Model knowledge domains," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(2), pages 338-352, February.
    23. Swafford, Patricia M. & Ghosh, Soumen & Murthy, Nagesh, 2008. "Achieving supply chain agility through IT integration and flexibility," International Journal of Production Economics, Elsevier, vol. 116(2), pages 288-297, December.
    24. 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.
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    Cited by:

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    2. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    3. Efpraxia D. Zamani & Conn Smyth & Samrat Gupta & Denis Dennehy, 2023. "Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review," Annals of Operations Research, Springer, vol. 327(2), pages 605-632, August.
    4. Christopher M. Durugbo & Zainab Al-Balushi, 2023. "Supply chain management in times of crisis: a systematic review," Management Review Quarterly, Springer, vol. 73(3), pages 1179-1235, September.
    5. Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    6. Samia Zaoui & Clovis Foguem & Dieudonné Tchuente & Samuel Fosso-Wamba & Bernard Kamsu-Foguem, 2023. "The Viability of Supply Chains with Interpretable Learning Systems: The Case of COVID-19 Vaccine Deliveries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 633-657, December.
    7. Kumar Mangla, Sachin & Chauhan, Ankur & Kundu, Tanmoy & Mardani, Abbas, 2023. "Emergency order allocation of e-medical supplies due to the disruptive events of the healthcare crisis," Journal of Business Research, Elsevier, vol. 155(PA).
    8. Suqin Liao & Qianying Hu & Jingjing Wei, 2023. "How to Leverage Big Data Analytic Capabilities for Innovation Ambidexterity: A Mediated Moderation Model," Sustainability, MDPI, vol. 15(5), pages 1-19, February.

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