Quarterly Publication

Document Type : Original Article

Authors

1 Department of Accounting and Management, Allameh Tabatabae University, Tehran, Iran.

2 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

10.22105/bdcv.2024.437598.1177

Abstract

This paper introduces a novel approach to stakeholder prioritization by employing Data Envelopment Analysis (DEA). The study utilizes five key criteria-stakeholder power, urgency, legitimacy, level of involvement, and project impact-to quantitatively evaluate stakeholder efficiency. DEA models tailored for each stakeholder are applied, yielding a comprehensive prioritization depicted in numerical form. The methodology showcased in this research harnesses the versatility of DEA in stakeholder analysis. The resulting prioritization aids project managers in strategic decision-making, offering valuable insights to enhance project success and minimize negative impacts. This paper contributes a practical and effective tool for project managers seeking to optimize stakeholder engagement and project outcomes.

Keywords

[1]   Karlsen, J. T. (2002). Project stakeholder management. Engineering management journal, 14(4), 19–24.
[2]   Khedmatgozar, H. R., Namdarian, L., & Rasuli, B. (2023). Who or what really counts? The application of BASEClass for stakeholder evaluation and classification. Management decision, 61(7), 1966–1997.
[3]   Kwestel, M., & Doerfel, M. L. (2023). Emergent stakeholders: Using multi-stakeholder issue networks to gain legitimacy in corporate networks. Public relations review, 49(1), 102272. https://doi.org/10.1016/j.pubrev.2022.102272
[4]   Sadaghiani, J., Boroujerdi, S., Mirhabibi, M., & Sadaghiani, P. (2014). A Pareto archive floating search procedure for solving multi-objective flexible job shop scheduling problem. Decision science letters, 3(2), 157–168.
[5]   Shenhar, A. J., Milosevic, D., & Dvir, D. (2023). Project planning unveiled: decoding its significance in shaping project success-a case of the skills development fund (SDF) in Kigali, Rwanda. Interdisciplinary journal of linguistics, marketing and communication (IJLMC), 10(3), 41–66.
[6]   Aaltonen, K., & Kujala, J. (2010). A project lifecycle perspective on stakeholder influence strategies in global projects. Scandinavian journal of management, 26(4), 381–397.
[7]   Pinto, J. K., & Prescott, J. E. (1988). Variations in critical success factors over the stages in the project life cycle. Journal of management, 14(1), 5–18.
[8]   Wu, M. (2012). Managing stakeholders: an integrative perspective on the source of competitive advantage. Asian social science, 8(10), 160.
[9]   Kuchta, D., Skorupka, D., Duchaczek, A., & Kowacka, M. (2016). Modified, stakeholders perspective based dea approach in it and r&d project ranking [presentation]. International conference on enterprise information systems iceis (2) (pp. 158–165).
[10] Rabechini Jr, R., Abarca, E. A. M., Salcedo, N. U., Saldaña, C. J. P. H., & Paiva, D. C. (2022). Stakeholder management and project management office: effect on project results. Revista de administração de empresas, 62, e2020-1077. http://dx.doi.org/10.1590/S0034-759020220606
[11] Afshar-Nadjafi, B., Pourbakhsh, H., Mirhabibi, M., Khodaei, H., Ghodami, B., Sadighi, F., & Azizi, S. (2019). Economic production quantity model with backorders and items with imperfect/perfect quality options. Journal of applied research and technology, 17(4), 250–257.
[12] Institute, P. M. (2013). Managing change in organizations: a practice guide. International project management association. Project management institute. https://rdbc.oss-cn-shanghai.aliyuncs.com/uploads/soft/130807/1-130PH24J7.pdf
[13] Azizi, S., & Mohammadi, M. (2023). Strategy selection for multi-objective redundancy allocation problem in a k-out-of-n system considering the mean time to failure. Opsearch, 60(2), 1021–1044. https://doi.org/10.1007/s12597-023-00635-2
[14] Pamidimukkala, A., Kermanshachi, S., & Kamali Rad, S. (2023). Ranking and weighting effective project-based communication indicators for primary and secondary stakeholders in construction projects. Journal of legal affairs and dispute resolution in engineering and construction, 15(1), 5022006. https://doi.org/10.1061/(ASCE)LA.1943-4170.0000581
[15] Abyaneh, P. M., Nojehdehi, R. R., & Alem, A. (2012). Quality function deployment in engineering, procurement and construction projects. Journal of basic and applied scientific research, 2(4), 4167–4173.
[16] Rasi Nojehdehi, R., Bagherzadeh Valami, H., & Najafi, S. E. (2023). Classifications of linking activities based on their inefficiencies in Network DEA. International journal of research in industrial engineering, 12(2), 165–176.
[17] Rasinojehdehi, R., & Valami, H. B. (2023). A comprehensive neutrosophic model for evaluating the efficiency of airlines based on SBM model of network DEA. Decision making: applications in management and engineering, 6(2), 880–906.
[18] Najafi, E., Aryanegad, M. B., Lotfi, F. H., & Ebnerasould, A. (2009). Efficiency and effectiveness rating of organization with combined DEA and BSC. Applied mathematical sciences, 3(25–28), 1249–1264.
[19] Nozari, H., Najafi, S. E., Jafari-Eskandari, M., & Aliahmadi, A. (2016). Providing a model for virtual project management with an emphasis on IT projects. In Project management: concepts, methodologies, tools, and applications (pp. 476–496). IGI Global.
 
 
[20] Ghasemi, N., Najafi, E., Lotfi, F. H., & Sobhani, F. M. (2020). Assessing the performance of organizations with the hierarchical structure using data envelopment analysis: An efficiency analysis of Farhangian University. Measurement, 156, 107609. https://doi.org/10.1016/j.measurement.2020.107609
[21] Shermeh, H. E., Najafi, S. E., & Alavidoost, M. H. (2016). A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies. Energy, 112, 686–697.
[22] Bagherzadeh Valami, H., & Raeinojehdehi, R. (2016). Ranking units in data envelopment analysis with fuzzy data. Journal of intelligent & fuzzy systems, 30(5), 2505–2516.
[23] Nojehdehi, R. R., Abianeh, P. M. M., & Valami, H. B. (2012). A geometrical approach for fuzzy production possibility set in data envelopment analysis (DEA) with fuzzy input-output levels. African journal of business management, 6(7), 2738–2745.
[24] Davis, K. (2014). Different stakeholder groups and their perceptions of project success. International journal of project management, 32(2), 189–201.
[25] Driessen, P. H., & Hillebrand, B. (2013). Integrating multiple stakeholder issues in new product development: an exploration. Journal of product innovation management, 30(2), 364–379.
[26] Broom, M., Brady, B., Kecskes, Z., & Kildea, S. (2013). World Café methodology engages stakeholders in designing a neonatal intensive care unit. Journal of neonatal nursing, 19(5), 253–258.
[27] Geeson, N., Quaranta, G., Salvia, R., & Brandt, J. (2015). Long-term involvement of stakeholders in research projects on desertification and land degradation: How has their perception of the issues changed and what strategies have emerged for combating desertification? Journal of arid environments, 114, 124–133.
[28] Izadikhah, M. (2022). Dea approaches for financial evaluation-a literature review. Advances in mathematical finance and applications, 7(1), 1–36.
[29] Liu, J. S., Lu, L. Y. Y., Lu, W.-M., & Lin, B. J. Y. (2013). A survey of DEA applications. Omega, 41(5), 893–902.
[30] Alrafadi, K. M., Yusuf, M. M., & Kamaruddin, B. H. (2016). Measuring efficiency in banks: a brief survey on non–parametric technique (data envelopment analysis). International journal of business, economics and management, 3(5), 52–68.
[31] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429–444.
[32] Mitchell, R. K., Lee, J. H., & Agle, B. R. (2017). Stakeholder prioritization work: The role of stakeholder salience in stakeholder research. In Stakeholder management (pp. 123–157). Emerald Publishing Limited.
[33] Priyadi, O., & Sensuse, D. I. (2022). Project management methodologies for engineering kms based on pmbok approach: a systematic literature review [presentation]. Proceeding of international conference on information science and technology innovation (ICosTec). https://prosiding-icostec.respati.ac.id/index.php/icostec/article/download/6/6