IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v201y2018icp102-115.html
   My bibliography  Save this article

Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR model and SEM

Author

Listed:
  • Dissanayake, C. Kalpani
  • Cross, Jennifer A.

Abstract

This research aims to introduce a systematic mechanism for developing an organization specific supply chain performance measurement (SCPM) model and for generating a single regression relationship between the overall supply chain performance (SCP) and each of the SCPM areas using an organization's numerical data. The research uses a case study conducted in a small-scale asphalt manufacturing plant located in West Texas, USA with a sample of 218 data records collected over a period of one year. In this article, the systematic mechanism is demonstrated using the data from the case study organization. It provides guidance for developing a hierarchical SCPM model for the organization using the Supply Chain Operations Reference (SCOR) model, and then to obtain the final regression equation for the overall SCP using the Structural Equations Modeling (SEM) technique. The results obtained from the SCPM mechanism are then compared with the managerial input on the SCP that was analyzed using the Analytical Hierarchical Process (AHP). The results of the comparison are used to validate the SCPM results.

Suggested Citation

  • Dissanayake, C. Kalpani & Cross, Jennifer A., 2018. "Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR model and SEM," International Journal of Production Economics, Elsevier, vol. 201(C), pages 102-115.
    • Handle: RePEc:eee:proeco:v:201:y:2018:i:c:p:102-115
    DOI: 10.1016/j.ijpe.2018.04.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527318301890
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2018.04.027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    2. Savin, N Eugene & White, Kenneth J, 1977. "The Durbin-Watson Test for Serial Correlation with Extreme Sample Sizes or Many Regressors," Econometrica, Econometric Society, vol. 45(8), pages 1989-1996, November.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Weber, Charles A. & Current, John R. & Desai, Anand, 1998. "Non-cooperative negotiation strategies for vendor selection," European Journal of Operational Research, Elsevier, vol. 108(1), pages 208-223, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Saoussane Srhir & Anicia Jaegler & Jairo R. Montoya‐Torres, 2023. "Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4143-4166, November.
    3. Johnson, Andrew & Carnovale, Steven & Song, Ju Myung & Zhao, Yao, 2021. "Drivers of fulfillment performance in mission critical logistics systems: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 237(C).
    4. Zanon, Lucas Gabriel & Munhoz Arantes, Rafael Ferro & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2020. "A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value," International Journal of Production Economics, Elsevier, vol. 223(C).
    5. Thi Thuy Hanh Nguyen, 2024. "Measuring Supply Chain Performance Using the SCOR Model," SN Operations Research Forum, Springer, vol. 5(2), pages 1-28, June.
    6. Zanon, Lucas Gabriel & Marcelloni, Francesco & Gerolamo, Mateus Cecílio & Ribeiro Carpinetti, Luiz Cesar, 2021. "Exploring the relations between supply chain performance and organizational culture: A fuzzy grey group decision model," International Journal of Production Economics, Elsevier, vol. 233(C).
    7. Saba Pourreza & Misagh Faezipour & Miad Faezipour, 2022. "Eye-SCOR: A Supply Chain Operations Reference-Based Framework for Smart Eye Status Monitoring Using System Dynamics Modeling," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    8. Ahmad A. A. Khanfar & Mohammad Iranmanesh & Morteza Ghobakhloo & Madugoda Gunaratnege Senali & Masood Fathi, 2021. "Applications of Blockchain Technology in Sustainable Manufacturing and Supply Chain Management: A Systematic Review," Sustainability, MDPI, vol. 13(14), pages 1-20, July.

    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. García Cáceres, Rafael Guillermo & Aráoz Durand, Julián Arturo & Gómez, Fernando Palacios, 2009. "Integral analysis method - IAM," European Journal of Operational Research, Elsevier, vol. 192(3), pages 891-903, February.
    2. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    3. Baskaran, Venkatesan & Nachiappan, Subramanian & Rahman, Shams, 2012. "Indian textile suppliers' sustainability evaluation using the grey approach," International Journal of Production Economics, Elsevier, vol. 135(2), pages 647-658.
    4. Palm, F.C. & Sneek, J.M., 1981. "Some econometric applications of the exact distribution of the ratio of two quadratic forms in normal variates," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    5. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    6. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.
    7. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    8. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    9. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    10. Gajanan Panchal & Vipul Jain & Naoufel Cheikhrouhou & Matthias Gurtner, 2017. "Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 417-436, August.
    11. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    12. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & Marla Downing & Frank Sapio & Marty Siltanen, 2013. "A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1694-1709, September.
    13. Mangla, Sachin Kumar & Srivastava, Praveen Ranjan & Eachempati, Prajwal & Tiwari, Aviral Kumar, 2024. "Exploring the impact of key performance factors on energy markets: From energy risk management perspectives," Energy Economics, Elsevier, vol. 131(C).
    14. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    15. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    16. Idris, Nurjihan & Arshad, Fatimah Mohamed & Radam, Alias & Ali, Noor Azman, 2009. "Construct validation of supply chain management in cooperative," MPRA Paper 19483, University Library of Munich, Germany.
    17. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    18. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    19. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    20. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.

    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:eee:proeco:v:201:y:2018:i:c:p:102-115. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.