IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11296-d910437.html
   My bibliography  Save this article

Evaluating and Prioritizing the Enablers of Supply Chain Performance Management System (SCPMS) for Sustainability

Author

Listed:
  • Mohamed Rafik Noor Mohamed Qureshi

    (Department of Industrial Engineering, King Khalid University, Abha 62529, Saudi Arabia)

Abstract

A business organization needs a supply chain performance management system (SCPMS) to build an effective and efficient supply chain (SC) that will provide much-needed sustainability. The performance evaluation of supply chain management (SCM) is difficult and needs consideration of several important enablers. In such situations, the development of an SCPMS can facilitate understanding and integration among the SC partners. The SCPMS is influenced by many enablers that play a positive role; hence, the study of these enablers becomes significant. Therefore, the purpose of this study was to identify and rank the key SCPMS enablers. The identified SCPMS enablers were modeled using interpretive structural modeling (ISM) and ranked through an interpretative ranking process (IRP). The SCPMS enablers were further categorized using MICMAC. The results show that “SCPMS awareness”, “top management commitment”, and “financial commitment towards SCPMS” must be controlled for sustainability as they are independent enablers. “Benchmarking”, “appropriate performance matrix”, and “employee commitment” were the three top enablers.

Suggested Citation

  • Mohamed Rafik Noor Mohamed Qureshi, 2022. "Evaluating and Prioritizing the Enablers of Supply Chain Performance Management System (SCPMS) for Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11296-:d:910437
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11296/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11296/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. M.N. Qureshi & Dinesh Kumar & Pradeep Kumar, 2007. "Modeling the logistics outsourcing relationship variables to enhance shippers' productivity and competitiveness in logistical supply chain," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(8), pages 689-714, November.
    3. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, vol. 123(1), pages 105-124, May.
    4. Alfalla-Luque, Rafaela & Marin-Garcia, Juan A. & Medina-Lopez, Carmen, 2015. "An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance," International Journal of Production Economics, Elsevier, vol. 162(C), pages 242-257.
    5. Miguel Afonso Sellitto & Giancarlo Medeiros Pereira & Miriam Borchardt & Rosnaldo Inácio da Silva & Cláudia Viviane Viegas, 2015. "A SCOR-based model for supply chain performance measurement: application in the footwear industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4917-4926, August.
    6. Karishma M. Qureshi & Bhavesh. G. Mewada & Saleh Y. Alghamdi & Naif Almakayeel & Mohamed Rafik N. Qureshi & Mohamed Mansour, 2022. "Accomplishing Sustainability in Manufacturing System for Small and Medium-Sized Enterprises (SMEs) through Lean Implementation," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    7. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    8. Yongping Xie & Yixuan Yin & Wei Xue & Hui Shi & Dazhi Chong, 2020. "Intelligent supply chain performance measurement in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 711-718, July.
    9. Bin Shen & Qingying Li & Ciwei Dong & Patsy Perry, 2017. "Sustainability Issues in Textile and Apparel Supply Chains," Sustainability, MDPI, vol. 9(9), pages 1-6, September.
    10. Jacobs, Mark A. & Yu, Wantao & Chavez, Roberto, 2016. "The effect of internal communication and employee satisfaction on supply chain integration," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 60-70.
    11. 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.
    12. Yaqin Lin & Weiqiang Zhang, 2020. "An incentive model between a contractor and multiple subcontractors in a green supply chain based on robust optimization," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(4), pages 481-509, October.
    13. Kamalakanta Muduli & Simonov Kusi-Sarpong & Devendra K. Yadav & Himanshu Gupta & Charbel Jose Chiappetta Jabbour, 2021. "An original assessment of the influence of soft dimensions on implementation of sustainability practices: implications for the thermal energy sector in fast growing economies," Operations Management Research, Springer, vol. 14(3), pages 337-358, December.
    14. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
    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. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2019. "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks," International Journal of Production Economics, Elsevier, vol. 212(C), pages 19-38.
    2. Hald, Kim Sundtoft & Mouritsen, Jan, 2018. "The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganisational factors," International Journal of Production Economics, Elsevier, vol. 205(C), pages 256-271.
    3. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
    4. 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.
    5. NNC Pushpamali & Duzgun Agdas & Timothy M. Rose & Tan Yigitcanlar, 2021. "Stakeholder perception of reverse logistics practices on supply chain performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 60-70, January.
    6. Azzam A. Abou-Moghli, 2018. "An Assessment of Strategic Management on Supply Chain Management and Logistics - A Path Analysis," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 7(2), pages 29-39, October.
    7. Jorge L. GARCIA-ALCARAZ & Aide A. MALDONADO-MACIAS & Juan L. HERNANDEZ-ARELLANO & Julio BLANCO-FERNANDEZ & Emilio JIMENEZ-MACIAS & Juan C. SAENZ-DIEZ MURO, 2017. "The impact of human resources on the agility, flexibility and performance of wine supply chains," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(4), pages 175-184.
    8. Tan, Hua & Iqbal, Nadeem & Wu, Zhengzhong, 2022. "Evaluating the impact of stakeholder engagement for renewable energy sources and economic growth for CO2 emission," Renewable Energy, Elsevier, vol. 198(C), pages 999-1007.
    9. Mohamed Rafik Noor Mohamed Qureshi, 2022. "Evaluating Enterprise Resource Planning (ERP) Implementation for Sustainable Supply Chain Management," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    10. Wong, Chee Yew & Wong, Christina W.Y. & Boon-itt, Sakun, 2017. "Do arcs of integration differ across industries? Methodology extension and empirical evidence from Thailand," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 223-234.
    11. Alireza Goli & Hatam Mohammadi, 2022. "Developing a sustainable operational management system using hybrid Shapley value and Multimoora method: case study petrochemical supply chain," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10540-10569, September.
    12. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    13. Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    14. Rajesh Katiyar & M. K. Barua & Purushottam L. Meena, 2018. "Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach," Global Business Review, International Management Institute, vol. 19(1), pages 48-68, February.
    15. Katiyar, Rajesh & Meena, Purushottam L. & Barua, Mukesh Kumar & Tibrewala, Rajen & Kumar, Gopal, 2018. "Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy," International Journal of Production Economics, Elsevier, vol. 197(C), pages 303-316.
    16. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    18. Goksel Armagan & Suleyman Nizam, 2012. "Productivity and efficiency scores of dairy farms: the case of Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 351-358, January.
    19. 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.
    20. 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.

    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:jsusta:v:14:y:2022:i:18:p:11296-:d:910437. 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.