IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v9y2025i3p129-d1748375.html
   My bibliography  Save this article

An Integrated DEA–Porter Decision Support Framework for Enhancing Supply Chain Competitiveness in the Muslim Fashion Industry: Evidence from Indonesia

Author

Listed:
  • Jilly Ayuningtias

    (Doctoral Program in Business Management, School of Business, IPB University, Bogor 16128, Indonesia)

  • Marimin Marimin

    (Department of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16128, Indonesia)

  • Agus Buono

    (School of Data Science, Mathematics and Informatics, IPB University, Bogor 16128, Indonesia)

  • Arif Imam Suroso

    (School of Business, IPB University, Bogor 16128, Indonesia)

Abstract

Background: The competitiveness of Indonesia’s Muslim fashion industry requires evaluation through both internal efficiency and external strategic factors, yet existing approaches often assess these dimensions separately. Methods: This study develops a Weighted Efficiency Competitive Score (WECS) that integrates Data Envelopment Analysis (DEA) to measure operational efficiency and Porter’s Five Forces to capture market pressures. The weights of α and β were calibrated through sensitivity analysis under the constraint α + β = 1, with values ranging from α = 0.3 to 0.7 and β = 0.7 to 0.3, using data from 23 Muslim fashion businesses in Jakarta. Results: The analysis identified α = 0.6 and β = 0.4 as the most stable configuration, and only 30% of firms achieved both high efficiency and strong market positioning. Strategic leaders such as JT. Co and PM. Co demonstrated that digital transformation, disciplined cost structures, and strong supply chain partnerships foster sustainable competitiveness. Conclusions: The WECS framework offers a replicable method to quantitatively integrate micro and macro determinants of competitiveness, contributes to the literature by bridging efficiency and strategy evaluation, and provides practical guidance for managers and policymakers to enhance decision support systems in strengthening the Muslim fashion industry’s global positioning.

Suggested Citation

  • Jilly Ayuningtias & Marimin Marimin & Agus Buono & Arif Imam Suroso, 2025. "An Integrated DEA–Porter Decision Support Framework for Enhancing Supply Chain Competitiveness in the Muslim Fashion Industry: Evidence from Indonesia," Logistics, MDPI, vol. 9(3), pages 1-30, September.
  • Handle: RePEc:gam:jlogis:v:9:y:2025:i:3:p:129-:d:1748375
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/9/3/129/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/9/3/129/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiasen Sun & Guo Li & Ming K. Lim, 2025. "China’s power supply chain sustainability: an analysis of performance and technology gap," Annals of Operations Research, Springer, vol. 349(2), pages 849-877, June.
    2. Francisco Zabala Aguayo & Beata Ślusarczyk, 2020. "Risks of Banking Services’ Digitalization: The Practice of Diversification and Sustainable Development Goals," Sustainability, MDPI, vol. 12(10), pages 1-10, May.
    3. Hyun Jung Kim & Jiyoon Son & Soo Wook Kim, 2016. "Strategy for Improving Efficiency of Supply Chain Quality Management in Buyer-Supplier Dyads: The Suppliers’ Perspective," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, March.
    4. Bin Shen, 2014. "Sustainable Fashion Supply Chain: Lessons from H&M," Sustainability, MDPI, vol. 6(9), pages 1-14, September.
    5. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Talluri, Srinivas & Narasimhan, Ram & Nair, Anand, 2006. "Vendor performance with supply risk: A chance-constrained DEA approach," International Journal of Production Economics, Elsevier, vol. 100(2), pages 212-222, April.
    8. Enrique Delahoz-Domínguez & Adel Mendoza-Mendoza & Rohemi Zuluaga-Ortiz, 2024. "A Six Sigma and DEA Framework for Quality Assessment in Banking Services," Administrative Sciences, MDPI, vol. 14(11), pages 1-12, November.
    9. Cong Wang & Zongbao Zou & Shidao Geng, 2021. "Green Technology Investment in a Decentralized Supply Chain under Demand Uncertainty," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    11. Shuaiyu Yao & Mengmeng Chen & Dmitri Muravev & Wendi Ouyang, 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    12. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    13. Toshiyuki Sueyoshi & Mika Goto, 2019. "Comparison among Three Groups of Solar Thermal Power Stations by Data Envelopment Analysis," Energies, MDPI, vol. 12(13), pages 1-20, June.
    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. Changhee Kim & Hyun Jung Kim, 2019. "A study on healthcare supply chain management efficiency: using bootstrap data envelopment analysis," Health Care Management Science, Springer, vol. 22(3), pages 534-548, September.
    2. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    3. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    4. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    5. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    6. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    8. Fatemeh Ghandi & Mostafa Davtalab-Olyaie & Masoud Asgharian, 2024. "Peer-evaluation in centrally managed systems," Annals of Operations Research, Springer, vol. 333(1), pages 439-459, February.
    9. César Salazar & Roberto Cárdenas-Retamal & Marcela Jaime, 2023. "Environmental efficiency in the salmon industry—an exploratory analysis around the 2007 ISA virus outbreak and subsequent regulations in Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8107-8135, August.
    10. Barrientos, Armando & Boussofiane, Aziz, 2001. "The Efficiency of Pension Fund Managers in Latin America," Centre on Regulation and Competition (CRC) Working papers 30696, University of Manchester, Institute for Development Policy and Management (IDPM).
    11. Tseng, Fang-Mei & Chiu, Yu-Jing & Chen, Ja-Shen, 2009. "Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies," Omega, Elsevier, vol. 37(3), pages 686-697, June.
    12. Changhee Kim & Soo Wook Kim & Hee Jay Kang & Seung-Min Song, 2017. "What Makes Urban Transportation Efficient? Evidence from Subway Transfer Stations in Korea," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    13. Hokey Min & Hyesung Min & Seong Jong Joo, 2007. "A data envelopment analysis on assessing the competitiveness of Korean hotels," The Service Industries Journal, Taylor & Francis Journals, vol. 29(3), pages 367-385, November.
    14. Moonyoung Eom & Hyungchul Yoo & Jisung Yoo, 2022. "Efficiency and Productivity of Local Educational Administration in Korea Using the Malmquist Productivity Index," Mathematics, MDPI, vol. 10(9), pages 1-14, April.
    15. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    16. Emmanuel Thanassoulis & Maria Da Conceicao & A. Silva Portela, 2002. "School Outcomes: Sharing the Responsibility Between Pupil and School1," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 183-207.
    17. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    18. Ardavan Babaei & Majid Khedmati & Mohammad Reza Akbari Jokar, 2025. "A new model for production and distribution planning based on data envelopment analysis with respect to traffic congestion, Blockchain technology and uncertain conditions," Annals of Operations Research, Springer, vol. 348(3), pages 1145-1181, May.
    19. Ali, Jabir, 2007. "Productivity and Efficiency in Indian Meat Processing Industry: A DEA Approach," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 62(4), pages 1-12.
    20. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jlogis:v:9:y:2025:i:3:p:129-:d:1748375. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.