IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i4d10.1007_s11135-022-01493-8.html
   My bibliography  Save this article

Operationalizing resilience through collaboration: the case of Sri Lankan tea supply chain during Covid-19

Author

Listed:
  • Naduni Madhavika

    (Sri Lankan Institute of Information Technology)

  • Nipuni Jayasinghe

    (Sri Lankan Institute of Information Technology)

  • Sandali Ehalapitiya

    (Sri Lankan Institute of Information Technology)

  • Thusara Wickramage

    (Sri Lankan Institute of Information Technology)

  • Dinimali Fernando

    (Sri Lankan Institute of Information Technology)

  • Vinura Jayasinghe

    (Sri Lankan Institute of Information Technology)

Abstract

This paper investigates the impact of subcomponents of collaboration: information sharing, connectivity, coordination, integration, and visibility on the tea supply chain resilience of Sri Lanka during the Covid-19 pandemic. This research was carried out with mixed methods. The quantitative approach adopted a systematic random sampling technique to determine the sample size (n = 137), whereas the qualitative study used the purposive sampling technique to determine the sample size (n = 6). Self-administered questionnaires were distributed to tea supply chain professionals and structured interviews were conducted to collect data for the qualitative approach of the study. This study found that all the subcomponents of collaboration positively impacted on tea supply chain resilience during the Covid-19. Moreover, connectivity and coordination have the highest positive impact on tea supply chain resilience while the other three sub-components: information sharing, integration and visibility have significant but relatively less positive impact on supply chain resilience. Thus, tea exporting companies must prioritise, take action steps for enhancing connectivity and coordination when formulating supply chain strategies to enable supply chain resilience. The study being one of the latest empirical studies taking Sri Lankan tea supply chain as a case study, contributes to the knowledge having identified the impact of sub-components of collaboration on tea supply chain resilience during Covid-19. Sri Lanka is one of the most vulnerable middle-income countries and its economy suffered severely during the Covid-19 outbreak. The findings will be supportive in making tea supply chains much stronger, providing a robust contribution to the country’s GDP as part of Sri Lanka’s national efforts in economic rebuilding.

Suggested Citation

  • Naduni Madhavika & Nipuni Jayasinghe & Sandali Ehalapitiya & Thusara Wickramage & Dinimali Fernando & Vinura Jayasinghe, 2023. "Operationalizing resilience through collaboration: the case of Sri Lankan tea supply chain during Covid-19," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 2981-3018, August.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-022-01493-8
    DOI: 10.1007/s11135-022-01493-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01493-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01493-8?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. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    2. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    3. Marko Sarstedt & Erik Mooi, 2019. "Regression Analysis," Springer Texts in Business and Economics, in: A Concise Guide to Market Research, edition 3, chapter 7, pages 209-256, Springer.
    4. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
    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. R. Anbanandam & D.K. Banwet & Ravi Shankar, 2011. "Evaluation of supply chain collaboration: a case of apparel retail industry in India," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(2), pages 82-98, January.
    7. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    8. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    9. R. Anbanandam & D.K. Banwet & Ravi Shankar, 2011. "Evaluation of supply chain collaboration: a case of apparel retail industry in India," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(2), pages 82-98, January.
    10. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
    11. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    12. Huo, Baofeng & Ye, Yuxiao & Zhao, Xiande & Shou, Yongyi, 2016. "The impact of human capital on supply chain integration and competitive performance," International Journal of Production Economics, Elsevier, vol. 178(C), pages 132-143.
    13. Hsiao-Lan Wei & Eric T G Wang, 2010. "The strategic value of supply chain visibility: increasing the ability to reconfigure," European Journal of Information Systems, Taylor & Francis Journals, vol. 19(2), pages 238-249, April.
    14. 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.
    15. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    16. Holweg, Matthias & Disney, Stephen & Holmström, Jan & Småros, Johanna, 2005. "Supply Chain Collaboration:: Making Sense of the Strategy Continuum," European Management Journal, Elsevier, vol. 23(2), pages 170-181, April.
    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. Meriem Riad & Mohamed Naimi & Chafik Okar, 2024. "Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization," Logistics, MDPI, vol. 8(4), pages 1-26, November.

    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. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    2. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    3. Katarzyna Grzybowska, 2021. "Identification and Classification of Global Theoretical Trends and Supply Chain Development Directions," Energies, MDPI, vol. 14(15), pages 1-19, July.
    4. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
    5. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).
    6. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    7. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    9. Alvarenga, Murilo Zamboni & Oliveira, Marcos Paulo Valadares de & Oliveira, Tiago, 2023. "Let’s talk about bad experiences instead of forgetting them: An empirical study on the importance of memory for supply chain disruption management," International Journal of Production Economics, Elsevier, vol. 261(C).
    10. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    11. Arsalan Zahid Piprani & Noor Ismawati Jaafar & Suhana Mohezar Ali & Muhammad Shujaat Mubarik & Muhammad Shahbaz, 2022. "Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure," Operations Management Research, Springer, vol. 15(1), pages 307-325, June.
    12. Jiguang Wang & Bing Ran, 2018. "Sustainable Collaborative Governance in Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    13. Hosseini, Seyedmohsen & Morshedlou, Nazanin & Ivanov, Dmitry & Sarder, M.D. & Barker, Kash & Khaled, Abdullah Al, 2019. "Resilient supplier selection and optimal order allocation under disruption risks," International Journal of Production Economics, Elsevier, vol. 213(C), pages 124-137.
    14. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    15. Salehi Sadghiani, N. & Torabi, S.A. & Sahebjamnia, N., 2015. "Retail supply chain network design under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 95-114.
    16. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).
    17. Gu, Minhao & Yang, Lu & Huo, Baofeng, 2021. "The impact of information technology usage on supply chain resilience and performance: An ambidexterous view," International Journal of Production Economics, Elsevier, vol. 232(C).
    18. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    19. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.
    20. Klibi, Walid & Martel, Alain, 2012. "Modeling approaches for the design of resilient supply networks under disruptions," International Journal of Production Economics, Elsevier, vol. 135(2), pages 882-898.

    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:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-022-01493-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.