IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i2d10.1007_s13198-021-01505-0.html
   My bibliography  Save this article

A hybrid multi criteria decision making approach for consultant selection problem in ERP project

Author

Listed:
  • Shwetank Avikal

    (Graphic Era Hill University)

  • Mukesh Nigam

    (Indian Farmers Fertiliser Cooperative Limited)

  • Mangey Ram

    (Graphic Era (Deemed To Be) University
    Peter the Great St. Petersburg Polytechnic University)

Abstract

Enterprise Resource Planning (ERP) projects are risk prone due to software complexity, budget overruns, long duration, poor project delivery and a broad range of organization transformation processes. Companies are hiring experienced external consultants to achieve successful implementation of ERP system. Proper selection of ERP consultant is challenging task for any top management of organization because consultant fees accounts a major portion of project cost and this problem may be considered as Multi criteria decision-making problem. This article presents the hybrid approach of Fuzzy Analytical hierarchy process (F-AHP) and COPRAS-G in selection process of ERP consultants. F-AHP is used to obtain the weight of selection criteria and COPRAS-G is used to get the final ranking of consultants based on utility degree. The proposed model is illustrated with a numerical example whose data has been collected from survey in Indian industries. Finally, sensitivity analysis was performed to determine the robustness of the approached. The result of F- AHP highlights that reputation, ERP project experience and partner of ERP vendor and cost is an important selection criterion for selecting consultant and rank reversal problem has been greatly reduced by COPRAS-G. This proposed hybrid technique is quite flexible and provides efficient decision making in the selection of an ERP consultant.

Suggested Citation

  • Shwetank Avikal & Mukesh Nigam & Mangey Ram, 2022. "A hybrid multi criteria decision making approach for consultant selection problem in ERP project," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 941-950, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01505-0
    DOI: 10.1007/s13198-021-01505-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01505-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01505-0?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. Cheng, Ching-Hsue & Yang, Kuo-Lung & Hwang, Chia-Lung, 1999. "Evaluating attack helicopters by AHP based on linguistic variable weight," European Journal of Operational Research, Elsevier, vol. 116(2), pages 423-435, July.
    2. Franco Cheung & Judy Leung Fung Kuen & Martin Skitmore, 2002. "Multi-criteria evaluation model for the selection of architectural consultants," Construction Management and Economics, Taylor & Francis Journals, vol. 20(7), pages 569-580.
    3. Ram, Jiwat & Corkindale, David & Wu, Ming-Lu, 2013. "Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance?," International Journal of Production Economics, Elsevier, vol. 144(1), pages 157-174.
    4. Ozalp Vayvay & Yigit Ozcan & Maria Manuela Cruz-Cunha, 2012. "ERP consultant selection problem using AHP, fuzzy AHP and ANP: A case study in Turkey," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(3), pages 106-117.
    5. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.
    6. Yusuf, Yahaya & Gunasekaran, A. & Abthorpe, Mark S., 2004. "Enterprise information systems project implementation:: A case study of ERP in Rolls-Royce," International Journal of Production Economics, Elsevier, vol. 87(3), pages 251-266, February.
    7. Plaza, Malgorzata & Rohlf, Katrin, 2008. "Learning and performance in ERP implementation projects: A learning-curve model for analyzing and managing consulting costs," International Journal of Production Economics, Elsevier, vol. 115(1), pages 72-85, September.
    8. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    9. A.R. Singh & P.K. Mishra & Rajeev Jain & M.K. Khurana, 2012. "Robust strategies for mitigating operational and disruption risks: a fuzzy AHP approach," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 2(1), pages 1-28.
    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. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    2. Akshay Hinduja & Manju Pandey, 2019. "An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1875-1908, November.
    3. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    4. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.
    5. Deepak Lamba & Devendra K. Yadav & Akhilesh Barve & Ganapati Panda, 2020. "Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process," Electronic Commerce Research, Springer, vol. 20(2), pages 381-403, June.
    6. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    7. Haberli, Caetano, Jr. & Oliveira, Tiago & Yanaze, Mitsuru, 2017. "Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agri- food context: the case of the Midwest of Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
    8. Devendra K. Yadav & Akhilesh Barve, 2019. "Prioritization of cyclone preparedness activities in humanitarian supply chains using fuzzy analytical network process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 683-726, June.
    9. Tolga, Ethem & Demircan, Murat Levent & Kahraman, Cengiz, 2005. "Operating system selection using fuzzy replacement analysis and analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 97(1), pages 89-117, July.
    10. Łuczak, Aleksandra & Kozera, Agnieszka, 2021. "A model to assess the development priorities of local administrations through the hierarchy of strategic factors," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 474-492.
    11. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    12. Chatterjee, Kajal & Bandyopadhyay, Abhirup & Ghosh, Amitava & Kar, Samarjit, 2015. "Assessment of environmental factors causing wetland degradation, using Fuzzy Analytic Network Process: A case study on Keoladeo National Park, India," Ecological Modelling, Elsevier, vol. 316(C), pages 1-13.
    13. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    14. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    15. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    16. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    17. Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    18. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    19. Bejjar Mohamed Ali & Boujelbene Younes, 2013. "The Impact of Information Systems on user Performance: An Exploratory Study," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(2), pages 1-10, April.
    20. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang & Chen-Ming Lu, 2021. "A Compromised Decision-Making Approach to Third-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP and Fuzzy VIKOR Methods," Mathematics, MDPI, vol. 9(8), pages 1-27, April.

    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:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01505-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.