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Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

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  • Gunjan Yadav
  • Sachin Kumar Mangla
  • Sunil Luthra
  • Suresh Jakhar

Abstract

The present study seeks to develop a decision framework of enabler to help managers in offshore outsourcing adoption by focusing on the relevant enablers and their intensities. A hybrid Best Worst Method (BWM) – ELimination and Choice Expressing REality approach is used to test the applicability of developed offshore outsourcing focused enabler’s across four automotive business organisations in India and the adoption score of framework among case organisations is evaluated too. The intensity of offshore outsourcing focused enablers is analysed through BWM and the ranking of organisations and adoption index scores are computed through ELimination and Choice Expressing REality method. The developed framework possesses high adoption rate in offshore outsourcing initiatives across the case organisations. Findings of the study reveal that among the main enablers; managerial and strategic enabler holds the highest weight followed by technological enablers and organisational enablers. This study further presents the sensitivity analysis to check the robustness of developed framework by conducting experiments in different conditions. This research work will facilitate managers and professionals involved in practising offshore outscoring initiatives and results in higher cost advantages on labour and raw material, increased economies of scale, and higher sustainable business development.

Suggested Citation

  • Gunjan Yadav & Sachin Kumar Mangla & Sunil Luthra & Suresh Jakhar, 2018. "Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(18), pages 6259-6278, September.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:18:p:6259-6278
    DOI: 10.1080/00207543.2018.1472406
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    2. Singh, Rajesh Kumar & Kumar, Anil & Garza-Reyes, Jose Arturo & de Sá, Marcelo M., 2020. "Managing operations for circular economy in the mining sector: An analysis of barriers intensity," Resources Policy, Elsevier, vol. 69(C).
    3. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    4. Rudimar Caricimi & Géremi Gilson Dranka & Dalmarino Setti & Paula Ferreira, 2022. "Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods," Energies, MDPI, vol. 15(19), pages 1-26, October.
    5. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.
    6. Majed G. Alharbi, 2022. "Carbon Reduction Technology Based on Imperfect Production System for Deteriorating Items with Warranty Periods and Greenness Dependent Demand," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    7. Muhammad Nazam & Muhammad Hashim & Florian Marcel Nută & Liming Yao & Muhammad Azam Zia & Muhammad Yousaf Malik & Muhammad Usman & Levente Dimen, 2022. "Devising a Mechanism for Analyzing the Barriers of Blockchain Adoption in the Textile Supply Chain: A Sustainable Business Perspective," Sustainability, MDPI, vol. 14(23), pages 1-31, December.
    8. Zhengmin Liu & Xiaolan Zhao & Lin Li & Xinya Wang & Di Wang & Peide Liu, 2020. "Selecting a Public Service Outsourcer Based on the Improved ELECTRE II Method with Unknown Weight Information under a Double Hierarchy Hesitant Linguistic Environment," Sustainability, MDPI, vol. 12(6), pages 1-34, March.
    9. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    10. Sadia Samar Ali & Rajbir Kaur & Shahbaz Khan, 2023. "Evaluating sustainability initiatives in warehouse for measuring sustainability performance: an emerging economy perspective," Annals of Operations Research, Springer, vol. 324(1), pages 461-500, May.
    11. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. van de Kaa, G. & Fens, T. & Rezaei, J. & Kaynak, D. & Hatun, Z. & Tsilimeni-Archangelidi, A., 2019. "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 320-327.
    13. Khan, Syed Abdul Rehman & Yu, Zhang & Sharif, Arshian, 2021. "No Silver Bullet for De-carbonization: Preparing for Tomorrow, Today," Resources Policy, Elsevier, vol. 71(C).
    14. Balali, Amirhossein & Yunusa-Kaltungo, Akilu & Edwards, Rodger, 2023. "A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    15. Chiappetta Jabbour, Charbel Jose & De Camargo Fiorini, Paula & Wong, Christina W.Y. & Jugend, Daniel & Lopes De Sousa Jabbour, Ana Beatriz & Roman Pais Seles, Bruno Michel & Paula Pinheiro, Marco Anto, 2020. "First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies," Resources Policy, Elsevier, vol. 66(C).

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