IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v222y2012i2p191-203.html
   My bibliography  Save this article

An instrument for measuring supply chain flexibility for the textile and clothing companies

Author

Listed:
  • Moon, Karen Ka-Leung
  • Yi, Candace Ying
  • Ngai, E.W.T.

Abstract

Supply chain flexibility (SCF) represents the capability of firms to respond to unanticipated changes in customer needs and competitor actions. Given the growing research interest in flexibility strategies, the development of a valid and reliable instrument to measure organizational responses toward environmental uncertainties or risks is imperative. However, no systematic and scientific research has been conducted to develop such an instrument. The present study adopts a comprehensive and rigorous procedure to develop a multifaceted scale for SCF through an empirical investigation. The results of a confirmatory factor analysis suggest that SCF can be operationalized as a second-order factor model comprising four dimensions, namely: sourcing flexibility, operating system flexibility, distribution flexibility, and information system flexibility. A series of goodness-of-fit indices further demonstrates that this scale is internally consistent, reliable, and valid. The various findings suggested in the present study provide a more succinct picture of SCF, and the well-validated scale could be used as a basis for further research and theoretical groundwork in the field of supply chain management.

Suggested Citation

  • Moon, Karen Ka-Leung & Yi, Candace Ying & Ngai, E.W.T., 2012. "An instrument for measuring supply chain flexibility for the textile and clothing companies," European Journal of Operational Research, Elsevier, vol. 222(2), pages 191-203.
    • Handle: RePEc:eee:ejores:v:222:y:2012:i:2:p:191-203
    DOI: 10.1016/j.ejor.2012.04.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221712003207
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2012.04.027?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. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Garavelli, A. Claudio, 2003. "Flexibility configurations for the supply chain management," International Journal of Production Economics, Elsevier, vol. 85(2), pages 141-153, August.
    3. Beach, R. & Muhlemann, A. P. & Price, D. H. R. & Paterson, A. & Sharp, J. A., 2000. "A review of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 122(1), pages 41-57, April.
    4. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
    5. Golden, William & Powell, Philip, 2000. "Towards a definition of flexibility: in search of the Holy Grail?," Omega, Elsevier, vol. 28(4), pages 373-384, August.
    6. Michael B. Devereux & Charles Engel, 2003. "Monetary Policy in the Open Economy Revisited: Price Setting and Exchange-Rate Flexibility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(4), pages 765-783.
    7. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    8. Robert A. Jones & Joseph M. Ostroy, 1984. "Flexibility and Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 13-32.
    9. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    10. Gupta, Yash P. & Somers, Toni M., 1992. "The measurement of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 60(2), pages 166-182, July.
    11. Gong, Zhejun, 2008. "An economic evaluation model of supply chain flexibility," European Journal of Operational Research, Elsevier, vol. 184(2), pages 745-758, January.
    12. Das, Kanchan, 2011. "Integrating effective flexibility measures into a strategic supply chain planning model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 170-183, May.
    13. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    14. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    15. Gupta, Yash P. & Goyal, Sameer, 1989. "Flexibility of manufacturing systems: Concepts and measurements," European Journal of Operational Research, Elsevier, vol. 43(2), pages 119-135, November.
    16. Farrell, Andrew M., 2010. "Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009)," Journal of Business Research, Elsevier, vol. 63(3), pages 324-327, March.
    17. Robb Dixon, J., 1992. "Measuring manufacturing flexibility: An empirical investigation," European Journal of Operational Research, Elsevier, vol. 60(2), pages 131-143, July.
    18. De Leeuw, A. C. J. & Volberda, H. W., 1996. "On the concept of flexibility: A dual control perspective," Omega, Elsevier, vol. 24(2), pages 121-139, April.
    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. Enrico Teich & Thorsten Claus, 2017. "Measurement of Load and Capacity Flexibility in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 291-302, December.
    2. Chuu, Shian-Jong, 2011. "Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain," European Journal of Operational Research, Elsevier, vol. 213(1), pages 279-289, August.
    3. Pereira, Javier & Paulre, Bernard, 2001. "Flexibility in manufacturing systems: A relational and a dynamic approach," European Journal of Operational Research, Elsevier, vol. 130(1), pages 70-82, April.
    4. Chan, Alan T.L. & Ngai, Eric W.T. & Moon, Karen K.L., 2017. "The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry," European Journal of Operational Research, Elsevier, vol. 259(2), pages 486-499.
    5. Benjaafar, Saifallah, 1996. "Modeling and analysis of machine sharing in manufacturing systems," European Journal of Operational Research, Elsevier, vol. 91(1), pages 56-73, May.
    6. Mohamed Mahjoub Dhiaf & Abdellatif Benabdelhafid & Fakher Jaoua, 2012. "Supply Chain Flexibility And Balanced Scorecard: Conceptual Model And Empirical Study In Tunisian Companies Launched Upgrading Program," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 5(1), pages 34-59, June.
    7. Gong, Zhejun, 2008. "An economic evaluation model of supply chain flexibility," European Journal of Operational Research, Elsevier, vol. 184(2), pages 745-758, January.
    8. Beach, R. & Muhlemann, A. P. & Price, D. H. R. & Paterson, A. & Sharp, J. A., 2000. "A review of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 122(1), pages 41-57, April.
    9. Wang, Reay-Chen & Chuu, Shian-Jong, 2004. "Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 154(3), pages 563-572, May.
    10. Chang, An-Yuan, 2009. "An attribute approach to the measurement of machine-group flexibility," European Journal of Operational Research, Elsevier, vol. 194(3), pages 774-786, May.
    11. Gong, Zhejun & Hu, Sun, 2008. "An economic evaluation model of product mix flexibility," Omega, Elsevier, vol. 36(5), pages 852-864, October.
    12. Zhang, Qingyu & Vonderembse, Mark A. & Cao, Mei, 2009. "Product concept and prototype flexibility in manufacturing: Implications for customer satisfaction," European Journal of Operational Research, Elsevier, vol. 194(1), pages 143-154, April.
    13. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    14. Singh, Nitya P. & Hong, Paul C., 2020. "Impact of strategic and operational risk management practices on firm performance: An empirical investigation," European Management Journal, Elsevier, vol. 38(5), pages 723-735.
    15. Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "Tactical supply chain planning models with inherent flexibility: definition and review," Annals of Operations Research, Springer, vol. 244(2), pages 407-427, September.
    16. Burak R. Uras & Ping Wang, 2017. "Production Flexibility, Misallocation and Total Factor Productivity," NBER Working Papers 23970, National Bureau of Economic Research, Inc.
    17. Sadia Samar Ali & Haripriya Barman & Rajbir Kaur & Hana Tomaskova & Sankar Kumar Roy, 2021. "Multi-Product Multi Echelon Measurements of Perishable Supply Chain: Fuzzy Non-Linear Programming Approach," Mathematics, MDPI, vol. 9(17), pages 1-27, August.
    18. Saghiri, Soroosh S. & Barnes, Stuart J., 2016. "Supplier flexibility and postponement implementation: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 173(C), pages 170-183.
    19. Naim, Mohamed & Aryee, Gilbert & Potter, Andrew, 2010. "Determining a logistics provider's flexibility capability," International Journal of Production Economics, Elsevier, vol. 127(1), pages 39-45, September.
    20. Sricharan Chirra & Dinesh Kumar, 2018. "Evaluation of Supply Chain Flexibility in Automobile Industry with Fuzzy DEMATEL Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(4), pages 305-319, December.

    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:ejores:v:222:y:2012:i:2:p:191-203. 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/eor .

    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.