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Strategic Marketing Information System Planning: An Integrated BWM–ELECTRE Approach

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  • Nitidetch Koohathongsumrit

    (Ramkhamhaeng University)

  • Pongchanun Luangpaiboon

    (Thammasat University)

Abstract

Under competitive business scenarios, project selection is a crucial process for ensuring that projects appropriately align with an organization’s goals, available resources, and relationships. This study proposes a novel hybrid decision support model that integrates the best–worst method (BWM) with the elimination and choice expressing reality (ELECTRE) method to solve project selection problems. The approach can be used to determine the weights of criteria by comparing two vectors and to provide the best result based on concordance and discordance analysis. An empirical study regarding the selection of strategic marketing information system projects is conducted to demonstrate the proposed methodology’s benefits and rationality. The findings show that using the BWM–ELECTRE approach systematically leads to solid decision-making results involving compromise rankings based on quantitative and qualitative data, including decision-makers’ preferences. This study contributes to the literature with a new methodology that consumes less time, provides high consistency, and enables subjectivity reduction in human-based judgments while providing helpful information to decision-makers in choosing the best project and/or outranking results among different relationships, resource constraints, or dynamic environments.

Suggested Citation

  • Nitidetch Koohathongsumrit & Pongchanun Luangpaiboon, 2024. "Strategic Marketing Information System Planning: An Integrated BWM–ELECTRE Approach," Group Decision and Negotiation, Springer, vol. 33(2), pages 267-289, April.
    • Handle: RePEc:spr:grdene:v:33:y:2024:i:2:d:10.1007_s10726-023-09861-x
    DOI: 10.1007/s10726-023-09861-x
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    References listed on IDEAS

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    1. Babak Daneshvar Rouyendegh & Serpil Erol, 2012. "Selecting the Best Project Using the Fuzzy ELECTRE Method," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-12, September.
    2. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    3. Gwendolyn L. Kolfschoten & Gert-Jan Vreede & Leah R. Pietron, 2011. "A Training Approach for the Transition of Repeatable Collaboration Processes to Practitioners," Group Decision and Negotiation, Springer, vol. 20(3), pages 347-371, May.
    4. Feng Shen & Chen Liang & Zhiyuan Yang, 2022. "Combined probabilistic linguistic term set and ELECTRE II method for solving a venture capital project evaluation problem," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 60-82, December.
    5. Özge Şahin Zorluoğlu & Özgür Kabak, 2020. "Weighted Cumulative Belief Degree Approach for Project Portfolio Selection," Group Decision and Negotiation, Springer, vol. 29(4), pages 679-722, August.
    6. Wu, Yenchun Jim & Chen, Jeng-Chung, 2021. "A structured method for smart city project selection," International Journal of Information Management, Elsevier, vol. 56(C).
    7. Amy Poh Ai Ling & Mohamad Nasir Saludin & Masao Mukaidono, 2012. "Deriving consensus rankings via multicriteria decision making methodology," Papers 1201.1604, arXiv.org.
    8. Haurant, P. & Oberti, P. & Muselli, M., 2011. "Multicriteria selection aiding related to photovoltaic plants on farming fields on Corsica island: A real case study using the ELECTRE outranking framework," Energy Policy, Elsevier, vol. 39(2), pages 676-688, February.
    9. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    10. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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