• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Impact of Effective Supply Chain Management and Supply Chain Risk Management Capabilities on Construction Project Performance
  • VIEWS 1513
  • PDF 502

Indian Journal of Science and Technology

DOI: 10.17485/IJST/v15i12.2194

Year: 2022, Volume: 15, Issue: 12, Pages: 505-517

Original Article

Impact of Effective Supply Chain Management and Supply Chain Risk Management Capabilities on Construction Project Performance

Sajal Kumar Ghosh1,2*, Ashok Kumar Sar3

1Sr. Manager, Rail Vikas Nigam Limited (A Govt. of India Enterprise under Ministry of Railways), Bhubaneswar, Odisha, India
2Research Scholar, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India
3Professor, Strategic Management, KSOM, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India

*Corresponding Author
Email: [email protected]
[email protected]

Received Date:26 November 2021, Accepted Date:23 February 2022, Published Date:25 March 2022

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To investigate the impact of effective Supply Chain Management (SCM) on construction project performance measured by project success criteria and on Supply Chain Risk Management (SCRM) capabilities. The study also aims to examine the mediating role of SCRM capabilities on the relation between effective SCM and project success criteria in an uncertain situation like COVID-19. Methods: The investigation was conducted on survey data received from 134 project practitioners from rail construction projects in India by the Partial Least Square Structural Equation Modeling (PLS-SEM) technique using Smart PLS3. Findings/Results: Results revealed a significant positive linkage between effective SCM and construction project success criteria of time, cost, quality, and also with SCRM capabilities. The findings also confirmed the mediating role of SCRM capabilities on the relation between effective SCM and project time and cost. However, no mediating role in the relationship between effective SCM and project quality was observed. Application: Findings will help in sensitizing construction project professionals on the importance of effective SCM and developing SCRM capabilities to make projects a success even in uncertain supply chain situations. The findings also reinforced the applicability of the Resource-based view and paradox theory in understanding Supply chains. Novelty: This research had used three project success criteria as dependent variables instead of using overall project success as done in earlier studies in the project management and the SCM arena.

Keywords: Supply Chain Management (SCM); Supply Chain Risk Management (SCRM); Railway Construction Project; Project Success; PLS-SEM

References

  1. Alsharef A, Banerjee S, Uddin SMJ, Albert A, Jaselskis E. Early Impacts of the COVID-19 Pandemic on the United States Construction Industry. International Journal of Environmental Research and Public Health. 2021;18(4):1559. doi: 10.3390/ijerph18041559
  2. Sundquist V, Gadde LE, Hulthén K. Reorganizing construction logistics for improved performance. Construction Management and Economics. 2018;36(1):49–65. Available from: https://dx.doi.org/10.1080/01446193.2017.1356931
  3. Gurtu A, Johny J. Supply Chain Risk Management: Literature Review. Risks. 2021;9(1):16. Available from: https://dx.doi.org/10.3390/risks9010016
  4. Rudolf CA, Spinler S. Key risks in the supply chain of large scale engineering and construction projects. Supply Chain Management: An International Journal. 2018;23(4):336–350. Available from: https://dx.doi.org/10.1108/scm-09-2017-0292
  6. Madenas N, Tiwari A, Turner CJ, Woodward J. Information flow in supply chain management: A review across the product lifecycle. CIRP Journal of Manufacturing Science and Technology. 2014;7(4):335–346. Available from: https://dx.doi.org/10.1016/j.cirpj.2014.07.002
  7. Messina D, Barros AC, Soares AL, Matopoulos A. An information management approach for supply chain disruption recovery. The International Journal of Logistics Management. 2020;31(3):489–519. Available from: https://dx.doi.org/10.1108/ijlm-11-2018-0294
  8. Nair PR, Anbuudayasankar SP. An Investigation on the benefits of ICT deployment in Supply Chain Management (SCM) Indian Journal of Science and Technology. 2016;9(30):1–7. Available from: https://dx.doi.org/10.17485/ijst/2016/v9i30/99063
  9. Rajagopal P, Zailani S, Sulaiman M. Assessing the effectiveness of supply chain partnering with scalable partnering as a moderator. International Journal of Physical Distribution & Logistics Management. 2009;39(8):649–668. Available from: https://dx.doi.org/10.1108/09600030910996305
  10. Ganesan V, Maragatham G, Lavanya US. A Study of IoT in SCM and its nodes in Multimodal Business Process. Indian Journal of Science and Technology. 2016;9(21). Available from: https://dx.doi.org/10.17485/ijst/2016/v9i21/95281
  11. Graham R. Supply Chain Sustainability and Rail Infrastructure : Leadership Pulling together or falling apart ?. London, UK. Royal Institution of Chartered Surveyors (RICS). 2017.
  12. Mello JE, Stank TP. Linking firm culture and orientation to supply chain success. International Journal of Physical Distribution & Logistics Management. 2005;35(8):542–554. Available from: https://dx.doi.org/10.1108/09600030510623320
  13. Li Y, Zobel CW. Exploring supply chain network resilience in the presence of the ripple effect. International Journal of Production Economics. 2020;228:107693. Available from: https://dx.doi.org/10.1016/j.ijpe.2020.107693
  14. Cockx R, Armbruster D, Bendul JC. Resource Sharing as Supply Chain Disruption Risk Management Measure. IFAC-PapersOnLine. 2019;52(13):802–807. Available from: https://dx.doi.org/10.1016/j.ifacol.2019.11.228
  15. Poshdar M, Gonzalez VA. Buffer Management in Construction - a New Zealand Study. 26th Annual Conference of the International Group for Lean Construction. 2018;p. 818–846. Available from: https://apo.org.au/node/304886
  16. Bajpai P, Kalra M, Bushanchandar AS. Supply Chain Management of Road Projects in India using FMEA and ISM Technique. Indian Journal of Science and Technology. 2016;9(S1):1–5. Available from: https://dx.doi.org/10.17485/ijst/2016/v9is1/105699
  18. Tripathi KK, Jha KN. An empirical study on factors leading to the success of construction organizations in India. International Journal of Construction Management. 2019;19(3):222–239. Available from: https://dx.doi.org/10.1080/15623599.2017.1423162
  19. Pålsson H, Sandberg E. Paradoxes in supply chains: a conceptual framework for packed products. The International Journal of Logistics Management. 2020;31(3):423–442. Available from: https://dx.doi.org/10.1108/ijlm-12-2019-0338
  20. Huo B, Zhao X. The impact of organizational culture on supply chain integration : A contingency and configuration approach. Supply Chain Management: An International Journal. 2015;20(1):24–41. Available from: http://dx.doi.org/10.1108/SCM-11-2013-0426
  21. Astrachan CB, Patel VK, Wanzenried G. A comparative study of CB-SEM and PLS-SEM for theory development in family firm research. Journal of Family Business Strategy. 2014;5(1):116–128. Available from: https://dx.doi.org/10.1016/j.jfbs.2013.12.002
  22. Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice. 2011;19(2):139–152. doi: 10.2753/mtp1069-6679190202
  23. Ringle CM, Wende S, Becker JM. SmartPLS 3. Bönningstedt. Available from: https://www.smartpls.com
  24. Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. European Business Review. 2019;31(1):2–24. Available from: https://dx.doi.org/10.1108/ebr-11-2018-0203
  26. Sarstedt M, Hair JF, Cheah JH, Becker JM, Ringle CM. How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM. Australasian Marketing Journal. 2019;27(3):197–211. Available from: https://dx.doi.org/10.1016/j.ausmj.2019.05.003
  27. Shi D, Maydeu-Olivares A, Rosseel Y. Assessing Fit in Ordinal Factor Analysis Models : SRMR vs . RMSEA Assessing Fit in Ordinal Factor Analysis Models : SRMR vs . RMSEA. Structural Equation Modeling: A Multidisciplinary Journal. 2019;0:1–15. Available from: https://doi.org/10.1080/10705511.2019.1611434
  28. Hair JF, Howard MC, Nitzl C. Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research. 2020;109:101–110. Available from: https://dx.doi.org/10.1016/j.jbusres.2019.11.069
  29. Ekeskär A, Rudberg M. Third-party logistics in construction: the case of a large hospital project. Construction Management and Economics. 2016;34(3):174–191. Available from: https://dx.doi.org/10.1080/01446193.2016.1186809
  30. Fernando Y, Walters T, Ismail MN, Seo YW, Kaimasu M. Managing project success using project risk and green supply chain management. International Journal of Managing Projects in Business. 2018;11(2):332–365. Available from: https://dx.doi.org/10.1108/ijmpb-01-2017-0007

Copyright

© 2022 Ghosh & Sar. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)

  • 25 March 2022

Year: 2022, Volume: 15, Issue: 12

Article Metrics


Post Graduate Fellowship in Research Communication

More articles

DON'T MISS OUT!

Subscribe now for latest articles and news.