IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/209203.html
   My bibliography  Save this book chapter

Logistics Performance Measurement for Sustainability in the Fast Fashion Industry

In: Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18

Author

Listed:
  • Cagliano, Anna Corinna
  • Mustafa, Muhammad Salman
  • Rafele, Carlo
  • Zenezini, Giovanni

Abstract

The fast fashion sector is characterized by a short time-to-market which adds to the fluctuating demand faced by this industry where competition requires to introduce a number of new designs in clothing each season. In such a context, some firms have started creating independent companies in charge of managing logistics operations. This strategy allows a direct control over logistics activities enabling to save time and costs and increase quality. However, in order to obtain the promised benefits, independent logistics companies need to be sustainable from both an operational and an economic point of view. To this end, an appropriate performance management appears to be essential. The paper develops a structured performance measurement system for an independent logistics organization part of an Italian fast fashion company. After reviewing the existing logistics performance measurement models, the LOGISTIQUAL model was selected because it balances all the perspectives of the logistics service. The company processes were mapped to identify the activities to be monitored. KPIs were defined and classified according to each performance area of LOGISTIQUAL. Prior to its implementation, the performance measurement system was validated by applying the indicators to past data. This work provides fast fashion firms with a methodology to design and implement logistics performance measurement dashboards that can be used to understand the current organizational behavior. Such knowledge assists in defining effective strategies to ensure competitive advantage and long term sustainability. Also, monitoring performances stimulates people to operate in order to achieve the company's goals.

Suggested Citation

  • Cagliano, Anna Corinna & Mustafa, Muhammad Salman & Rafele, Carlo & Zenezini, Giovanni, 2014. "Logistics Performance Measurement for Sustainability in the Fast Fashion Industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 113-135, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  • Handle: RePEc:zbw:hiclch:209203
    DOI: 10.15480/882.1188
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/209203/1/hicl-2014-18-113.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.15480/882.1188?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
    ---><---

    References listed on IDEAS

    as
    1. André de Waal & Karima Kourtit, 2013. "Performance measurement and management in practice," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 62(5), pages 446-473, July.
    2. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    3. Caniato, Federico & Caridi, Maria & Castelli, Cecilia & Golini, Ruggero, 2011. "Supply chain management in the luxury industry: A first classification of companies and their strategies," International Journal of Production Economics, Elsevier, vol. 133(2), pages 622-633, October.
    4. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    5. Sabrina Grimaldi & Carlo Rafele, 2007. "Current applications of a reference framework for the supply chain performance measurement," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 9(2), pages 206-225.
    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. Jooste, Corneli & van Eeden, Joubert & van Dyk, Esbeth, 2015. "South African Wine Supply Chain Performance Measurement Framework," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 305-332, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    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. Siti Aisyah Ya?kob & Mohd Uzairi Ahmad Hajazi & Nor Afiza Abu Bakar & Sharizal Hashim, 2019. "The Influence of Information Sharing Linkages on Business Performance: Evidence from Micro and Small Enterprises in Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 18-26, January.
    2. Schneider, Christian O. & Bremen, Philipp & Schönsleben, Paul & Alard, Robert, 2013. "Transaction cost economics in global sourcing: Assessing regional differences and implications for performance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 243-254.
    3. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    4. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    5. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    6. Ekaterina Khitilova, 2017. "The Suitability of Expert System Application in Czech Small and Medium-Sized Enterprises," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 653-660.
    7. Ra’ed Masa’deh & Ismail Muheisen & Bader Obeidat & Ashraf Bany Mohammad, 2022. "The Impact of Supply Chain Integration on Operational Performance: An Empirical Study," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    8. Xiaohong Liu & Liguo Zhou & Yen-Chun Jim Wu, 2015. "Supply Chain Finance in China: Business Innovation and Theory Development," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    9. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    10. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    11. H. Khorshidian & M. Akbarpour Shirazi & S. M. T. Fatemi Ghomi, 2019. "An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 163-184, January.
    12. Andrea Chiarini, 2017. "Environmental Policies for Evaluating Suppliers' Performance Based on GRI Indicators," Business Strategy and the Environment, Wiley Blackwell, vol. 26(1), pages 98-111, January.
    13. Chang, Sheng-Lin & Wang, Reay-Chen & Wang, Shih-Yuan, 2007. "Applying a direct multi-granularity linguistic and strategy-oriented aggregation approach on the assessment of supply performance," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1013-1025, March.
    14. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    15. Jędrzej Charłampowicz, 2018. "Supply Chain Efficiency On The Maritime Container Shipping Markets – Selected Issues," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 357-368.
    16. Amer Saeed & Yun Jun & Saviour Ayertey Nubuor & Hewawasam Puwakpitiyage Rasika Priyankara & Mahabaduge Prasad Fernando Jayasuriya, 2018. "Institutional Pressures, Green Supply Chain Management Practices on Environmental and Economic Performance: A Two Theory View," Sustainability, MDPI, vol. 10(5), pages 1-24, May.
    17. Dang, Shuo & Chu, Liangyong, 2016. "Evaluation framework and verification for sustainable container management as reusable packaging," Journal of Business Research, Elsevier, vol. 69(5), pages 1949-1955.
    18. Wang, Shih-Yuan & Chang, Sheng-Lin & Wang, Reay-Chen, 2009. "Assessment of supplier performance based on product-development strategy by applying multi-granularity linguistic term sets," Omega, Elsevier, vol. 37(1), pages 215-226, February.
    19. Ilkka Sillanpää, 2012. "Empirical Study of Measuring Supply Chain Performance," MIC 2012: Managing Transformation with Creativity; Proceedings of the 13th International Conference, Budapest, 22–24 November 2012 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    20. 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.

    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:zbw:hiclch:209203. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    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.