Adoption of Sustainable Supply Chain Enablers : A Construction Industry Perspective

Authors

  •   Firdous Ahmad Khan PhD Scholar (Corresponding Author), Mittal School of Business, Lovely Professional University, Phagwara - 144 411.
  •   Mohd. Imran Khan Assistant Professor, Mittal School of Business, Lovely Professional University, Phagwara - 144 411, Punjab.

DOI:

https://doi.org/10.17010/pijom/2023/v16i2/172729

Keywords:

Sustainable Supply Chain

, Construction Industry, Sustainable Enablers, Fuzzy Delphi, Fuzzy DEMATEL

JELClassification Codes

, C4, D7, D8

Paper Submission Date

, July 5, 2022, Paper sent back for Revision, December 27, Paper Acceptance Date, January 25, 2023, Paper Published Online, February 15, 2023

Abstract

Organizations pledge to adhere to sustainability standards globally. The adherence to sustainability ensures businesses contribute to the country’s development, environment, and long-term societal values. Sustainable supply chain (SSC) has been receiving more focus from regulators, practitioners, and academicians nowadays. Among other industries, the building and construction industry has been accountable for using excessive resources and destroying the environment by producing pollution. The non-compliance to adopt sustainability creates barriers for the construction industry to implement SSC, which academia has given little attention to. The proposed research work is a critical study toward identifying SSC enablers in the construction industry and attempting to derive a causal relationship to evolve key enablers for SSC adoption based on hybrid MCDM methods. The novelty of the current work is the identification of key enablers in adopting SSC, and the interrelationship between enablers is of its first kind to be used for SSC. A case example was undertaken to find key enablers of sustainable procurement management in the construction supply chain to validate the proposed work. This study reveals that the obligation of an organization to adopt sustainable procurement management practices; government regulation to adopt sustainable procurement management practices; high incentive schemes for construction organizations in implementing sustainable procurement management practices; lower, middle, and top management involvement in adopting sustainable procurement practices; and sufficient checks and controls in adopting sustainable procurement management practices are the key enablers to be adopted by the businesses to achieve their sustainable goals.

Downloads

Download data is not yet available.

Downloads

Published

2023-02-01

How to Cite

Khan, F. A., & Imran Khan, M. (2023). Adoption of Sustainable Supply Chain Enablers : A Construction Industry Perspective. Prabandhan: Indian Journal of Management, 16(2), 24–39. https://doi.org/10.17010/pijom/2023/v16i2/172729

References

Asadi, S., Pourhashemi, S., Nilashi, M., Abdullah, R., Samad, S., Yadegaridehkordi, E., Aljojo, N., & Razali, N. (2020). Investigating influence of green innovation on sustainability performance: A case on Malaysian hotel industry. Journal of Cleaner Production, 258, 120860. https://doi.org/10.1016/j.jclepro.2020.120860

Chang, P.-T., Huang, L.-C., & Lin, H.-J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, 112(3), 511–520. https://doi.org/10.1016/S0165-0114(98)00067-0

Chauhan, A., Badhotiya, G., Soni, G., & Kumeri, P. (2020). Investigating interdependencies of sustainable supplier selection criteria: An appraisal using ISM. Journal of Global Operations and Strategic Sourcing, 13(2), 195–210. http://doi.org/10.1108/JGOSS-02-2019-0017

Chen, Z., Ming, X., Zhou, T., & Chang, Y. (2020). Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing, 87, 106004. https://doi.org/10.1016/j.asoc.2019.106004

Chu, H.-C., & Hwang, G.-J. (2008). A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Systems with Applications, 34(4), 2826–2840. https://doi.org/10.1016/j.eswa.2007.05.034

De Villiers, M. R., de Villiers, P. J., & Kent, A. P. (2005). The Delphi technique in health sciences education research. Medical Teacher, 27(7), 639–643. https://doi.org/10.1080/13611260500069947

Dutta, S., & Roy, S. K. (2014). Managerial perceptions of a low carbon economy: A study. Prabandhan: Indian Journal of Management, 7(8), 7–20. https://doi.org/10.17010/pijom/2014/v7i8/59349

Ershadi, M., Jefferies, M., Davis, P., & Mojtahedi, M. (2021). Barriers to achieving sustainable construction project procurement in the private sector. Cleaner Engineering and Technology. 3, 100125. https://doi.org/10.1016/j.clet.2021.100125

Fontela, E., & Gabus, A. (1972). World problems: An invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva.

Giri, B. C., Molla, M. U., & Biswas, P. (2022). Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management. Expert Systems with Applications, 193(1), 116396. https://doi.org/10.1016/j.eswa.2021.116396

Hassini, E., Surti, C., & Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140(1), 69–82. http://doi.org/10.1016/j.ijpe.2012.01.042

Hendiani, S., Liao, H., & Jabbour, C. J. (2022). A new sustainability indicator for supply chains: Theoretical and practical contribution towards sustainable operations. International Journal of Logistics Research and Applications, 25(4–5), 384–409. http://doi.org/10.1080/13675567.2020.1761308

Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 55(3), 241–253. http://doi.org/10.1016/0165-0114(93)90251-C

Kannan, D. (2018). Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics, 195, 391–418. http://doi.org/10.1016/j.ijpe.2017.02.020

Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore. Journal of Cleaner Production, 96, 194–208. https://doi.org/10.1016/j.jclepro.2013.12.076

Mahdiloo, M., Saen, R. F., & Lee, K.-H. (2015). Technical, environmental and eco-efficient measurement for supplier selection: An extension and application of data envelopment analysis. International Journal of Production Economics, 168, 279–289. http://doi.org/10.1016/j.ijpe.2015.07.010

Memari, A., Dargi, A., Jokar, M., Ahmad, R., & Rahim, A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems, 50, 9–24. https://doi.org/10.1016/j.jmsy.2018.11.002

Menon, R. R., & Ravi, V. (2021). Analysis of barriers of sustainable supply chain management in electronics industry: An interpretive structural modelling approach. Cleaner and Responsible Consumption, 3, 100026. https://doi.org/10.1016/j.clrc.2021.100026

Munny, A. A., Ali, S. M., Kabir, G., Moktadir, M. A., Rahman, T., & Mahtab, Z. (2019). Enablers of social sustainability in the supply chain: An example of footwear industry from an emerging economy. Sustainable Production and Consumption, 20, 230–242. http://doi.org/10.1016/j.spc.2019.07.003

Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76–80. https://doi.org/10.3233/HSM-1985-5111

Opricovic, S., & Tzeng, G.-H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(5), 635–652. http://doi.org/10.1142/S0218488503002387

Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: A grey relational analysis approach. Journal of Cleaner Production, 86, 343–359. https://doi.org/10.1016/j.jclepro.2014.08.054

Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009

Roventa, E., & Spircu, T. (2003). Averaging procedures in defuzzification processes. Fuzzy Sets and Systems, 136(3), 375–385. http://doi.org/10.1016/S0165-0114(02)00218-X

Santos, F. C., Andrade, E. M., Ferreira, A. C., Leme, P. C., & Jabbour, C. J. (2013). Practices of environmentally responsible reverse logistics systems in Brazilian companies. International Journal of Business Performance and Supply Chain Modelling, 5(1), 63–85. https://doi.org/10.1504/ijbpscm.2013.051655

Sarkis, J., & Dhavale, D. G. (2015). Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. International Journal of Production Economics, 166, 177–191. https://doi.org/10.1016/j.ijpe.2014.11.007

Sharma, K., & Mathur, H. P. (2022). Contextualizing sustainability with reference to startups. Prabandhan: Indian Journal of Management, 15(7), 8–23. https://doi.org/10.17010/pijom/2022/v15i7/170788

Shete, P. C., Ansari, Z. N., & Kant, R. (2020). A Pythagorean fuzzy AHP approach and its application to evaluate the enablers of sustainable supply chain innovation. Sustainable Production and Consumption, 23, 77–93. https://doi.org/10.1016/j.spc.2020.05.001

Vazifehdan, M. N., & Darestani, S. A. (2019). Green logistics outsourcing employing multi criteria decision making and quality function deployment in the petrochemical industry. The Asian Journal of Shipping and Logistics, 35(4), 243–254. http://doi.org/10.1016/j.ajsl.2019.12.011

Xu, X., Wang, Y., & Tao, L. (2019). Comprehensive evaluation of sustainable development of regional construction industry in China. Journal of Cleaner Production, 211, 1078–1087. http://doi.org/10.1016/j.jclepro.2018.11.248

Yu, Q., & Hou, F. (2016). An approach for green supplier selection in the automobile manufacturing industry. Kybernetes, 45(4), 571–588. https://doi.org/10.1108/K-01-2015-0034

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Zhou, X., & Xu, Z. (2018). An integrated sustainable supplier selection approach based on hybrid information aggregation. Sustainability, 10(7), 2543. https://doi.org/10.3390/su10072543

Zimmer, K., Fröhling, M., & Schultmann, F. (2016). Sustainable supplier management – A review of models supporting sustainable supplier selection, monitoring and development. International Journal of Production Research, 54(5), 1412–1442. https://doi.org/10.1080/00207543.2015.1079340