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Sustainable performance measurement of Indian retail chain using two-stage network DEA

Author

Listed:
  • Nomita Pachar

    (University of Delhi)

  • Jyoti Dhingra Darbari

    (University of Southern Denmark
    University of Delhi)

  • Kannan Govindan

    (Shanghai Maritime University
    Yonsei University
    University of Southern Denmark)

  • P. C. Jha

    (University of Delhi)

Abstract

Incorporating sustainable decisions with the retailer’s operational management has attracted enormous significance due to government regulations and customer demand for environmental consciousness. However, incorporating sustainable operations may interfere with the operational performance of the firm and, hence, retail companies need to examine the influence of these operations on overall supply chain efficiency. The present study develops a performance measurement model based on a two-stage network data envelopment analysis (DEA) technique for measuring the joint impact of sustainable operations and operational activities on the business performance of a retail company. A case study of an Indian electronic retail chain is presented to reveal the potentiality and suitability of the proposed models. The novelty of the paper lies in establishing DEA models for an Indian retail chain company and for providing an analytical understanding of the conditions under which the strategic decisions at the operational level successfully support the integration of sustainable operations into the SC management. The results show that the additional sustainable constraints lead to improved operational efficiency of some firms of the retail chain and result in improved business efficiency, while for other firms the integration of sustainable objectives decrease business efficiency. The significance of the study lies in providing efficient target conditions for inefficient retail stores to improve their performance. The findings of the study provide meaningful insights to Indian retailers venturing into sustainable retailing operations for enhancing the operational and business efficiency of the supply chain.

Suggested Citation

  • Nomita Pachar & Jyoti Dhingra Darbari & Kannan Govindan & P. C. Jha, 2022. "Sustainable performance measurement of Indian retail chain using two-stage network DEA," Annals of Operations Research, Springer, vol. 315(2), pages 1477-1515, August.
    • Handle: RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-021-04088-y
    DOI: 10.1007/s10479-021-04088-y
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    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. M. Sivagnanasundaram, 2018. "Sustainability Practices in Indian Retail Industry: A Comparison with Top Global Retailers," Emerging Economy Studies, International Management Institute, vol. 4(1), pages 102-111, May.
    3. Joe Zhu, 2014. "Quantitative Models for Performance Evaluation and Benchmarking," International Series in Operations Research and Management Science, Springer, edition 3, number 978-3-319-06647-9, April.
    4. Ferreira, Ana & Pinheiro, Manuel Duarte & de Brito, Jorge & Mateus, Ricardo, 2019. "Decarbonizing strategies of the retail sector following the Paris Agreement," Energy Policy, Elsevier, vol. 135(C).
    5. Jinyan Zhan & Fan Zhang & Zhihui Li & Yue Zhang & Wei Qi, 2020. "Evaluation of food security based on DEA method: a case study of Heihe River Basin," Annals of Operations Research, Springer, vol. 290(1), pages 697-706, July.
    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. Gong, Yeming & Liu, Jiawen & Zhu, Joe, 2019. "When to increase firms’ sustainable operations for efficiency? A data envelopment analysis in the retailing industry," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1010-1026.
    8. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    9. Lau, Kwok Hung, 2013. "Measuring distribution efficiency of a retail network through data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 598-611.
    10. Govindan, Kannan & Kilic, Merve & Uyar, Ali & Karaman, Abdullah S., 2021. "Drivers and value-relevance of CSR performance in the logistics sector: A cross-country firm-level investigation," International Journal of Production Economics, Elsevier, vol. 231(C).
    11. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    12. Claro, Danny Pimentel & Laban Neto, Silvio Abrahão & de Oliveira Claro, Priscila Borin, 2013. "Sustainability drivers in food retail," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 365-371.
    13. Nina Hampl & Moritz Loock, 2013. "Sustainable Development in Retailing: What is the Impact on Store Choice?," Business Strategy and the Environment, Wiley Blackwell, vol. 22(3), pages 202-216, March.
    14. Manuel Xavier, José & Ferreira Moutinho, Victor & Carrizo Moreira, António, 2015. "An empirical examination of performance in the clothing retailing industry: A case study," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 96-105.
    15. Smriti Pande & G.N. Patel, 2013. "Assessing cost efficiency of pharmacy retail stores and identification of efficiency drivers," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 14(4), pages 368-385.
    16. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    17. Zhijiang Li & Decai Tang & Mang Han & Brandon J. Bethel, 2018. "Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    18. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    19. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    20. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    21. Helen Goworek, 2011. "Social and environmental sustainability in the clothing industry: a case study of a fair trade retailer," Social Responsibility Journal, Emerald Group Publishing, vol. 7(2), pages 74-86, February.
    22. Rashidi, Kamran & Cullinane, Kevin, 2019. "Evaluating the sustainability of national logistics performance using Data Envelopment Analysis," Transport Policy, Elsevier, vol. 74(C), pages 35-46.
    23. Yeming Gong & Jiawen Liu & Joe Zhu, 2019. "When to increase firms’ sustainable operations for efficiency? A data envelopment analysis in the retailing industry," Post-Print hal-02312352, HAL.
    24. Chen, Yao & Cook, Wade D. & Li, Ning & Zhu, Joe, 2009. "Additive efficiency decomposition in two-stage DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1170-1176, August.
    25. Helen Goworek, 2011. "Social and environmental sustainability in the clothing industry: a case study of a fair trade retailer," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 7(1), pages 74-86, March.
    26. Peter Wanke & Vincent Blackburn & Carlos Pestana Barros, 2016. "Cost and learning efficiency drivers in Australian schools: a two-stage network DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3577-3604, August.
    27. Yu, Wantao & Ramanathan, Ramakrishnan, 2009. "An assessment of operational efficiency of retail firms in China," Journal of Retailing and Consumer Services, Elsevier, vol. 16(2), pages 109-122.
    28. Tang, Ailie K.Y. & Lai, Kee-hung & Cheng, T.C.E., 2016. "A Multi-research-method approach to studying environmental sustainability in retail operations," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 394-404.
    29. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    30. Kyungwan Ko & Meehyang Chang & Eun-Song Bae & Daecheol Kim, 2017. "Efficiency Analysis of Retail Chain Stores in Korea," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    31. Ismail Erol & Nigar Cakar & Derya Erel & Ramazan Sari, 2009. "Sustainability in the Turkish retailing industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 17(1), pages 49-67.
    32. 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.
    33. Chorong Youn & So‐young Kim & Yuri Lee & Ho Jung Choo & Seyoon Jang & Jae Im Jang, 2017. "Measuring Retailers' Sustainable Development," Business Strategy and the Environment, Wiley Blackwell, vol. 26(3), pages 385-398, March.
    34. Wu, Desheng Dash, 2010. "BiLevel programming Data Envelopment Analysis with constrained resource," European Journal of Operational Research, Elsevier, vol. 207(2), pages 856-864, December.
    35. Charles J. Corbett & Robert D. Klassen, 2006. "Extending the Horizons: Environmental Excellence as Key to Improving Operations," Manufacturing & Service Operations Management, INFORMS, vol. 8(1), pages 5-22, March.
    36. Dimitris Balios & Nikolaos Eriotis & Alexandra Fragoudaki & Dimitrios Giokas, 2015. "Economic efficiency of Greek retail SMEs in a period of high fluctuations in economic activity: a DEA approach," Applied Economics, Taylor & Francis Journals, vol. 47(33), pages 3577-3593, July.
    37. Mojtaba Ghiyasi, 2019. "Full ranking of efficient and inefficient DMUs with the same measure of efficiency in DEA," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 10(3), pages 236-252.
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    2. Yiming Zhuang & Meltem Denizel & Frank Montabon, 2023. "Examining Firms’ Sustainability Frontier: Efficiency in Reaching the Triple Bottom Line," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    3. Alireza Moradi & Saber Saati & Mehrzad Navabakhsh, 2023. "Genetic algorithms for optimizing two-stage DEA by considering unequal intermediate weights," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1202-1217, September.
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