A Study for Application of Decision Making Model in a Public Organization
DOI:
https://doi.org/10.31181/sor31202640Keywords:
Decision- making, Public organization, Alternatives, Technical knowledge, OpinionAbstract
Decision-making can be regarded as an outcome of mental processes leading to the selection of a course of action among numbers of alternatives available at a point of time. Each decision making process produces a final choice and the output will be an action or an opinion of choice (Decision Making). Decision making is, however, only a step in planning, even when it is taken quickly, with little thoughts and information or when it effects action for few minutes only. Everyone takes decision daily in his life for every course of action. Seldom there is a chance to judge a course of action in isolation, as every decision has to gear up other plans. In public organization consensus can be a goal, not a mandate for public decision-making. Public policies are the mixture of our values and opinions, technical knowledge and abilities, and political set up. These are the views often conflict with one another, but when they differ from the individual views, generate disregard for the opinions and perspectives of others.
Downloads
References
Wilson, W. (1941). The study of administration. Political Science Quarterly, 56(4), 481–506.
Goodnow, F. J. (2017). Politics and administration: A study in government. Routledge.
Urwick, L. F. (1943). The elements of administration. Harper.
Panchal, D., & Kumar, D. (2017). Maintenance decision-making for power generating unit in thermal power plant using combined fuzzy AHP-TOPSIS approach. International Journal of Operational Research, 29(2), 248–272. https://doi.org/10.1504/IJOR.2017.083958
Wang, L., Chu, J., & Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151–163. https://doi.org/10.1016/j.ijpe.2006.08.005
Alsattar, H. A., Qahtan, S., Mourad, N., Zaidan, A. A., Deveci, M., Pamucar, D., Antucheviene, J., & Ding, W. (2025). A decision modeling approach for the development of sustainable transportation oil companies. Engineering Applications of Artificial Intelligence, 150, 110623. https://doi.org/10.1016/j.engappai.2025.110623
Ali, J., & Pamucar, D. (2025). Normal wiggly probabilistic hesitant fuzzy-based TODIM approach for optimal solid waste disposal method selection. Heliyon, 11(2), e41908. https://doi.org/10.1016/j.heliyon.2025.e41908
Panchal, D., & Kushwaha, D. K. (2025). Intuitionistic fuzzy approaches-based structured framework for optimal maintenance policy decision in sugar mill. Journal of Quality in Maintenance Engineering, 31(1), 196–222. https://doi.org/10.1108/JQME-07-2024-0065
Yazdani, M., Torkayesh, A. E., Chatterjee, P., Fallahpour, A., Montero-Simo, M. J., Araque-Padilla, R. A., & Wong, K. Y. (2022). A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain. Socio-Economic Planning Sciences, 82, 101257. https://doi.org/10.1016/j.seps.2022.101257
Yazdani, M., Gonzalez, E. D., & Chatterjee, P. (2021). A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context. Management Decision, 59(8), 1801–1826. https://doi.org/10.1108/MD-10-2018-1088
Yazdani, M., Chatterjee, P., Pamucar, D., & Chakraborty, S. (2020). Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities. Expert Systems with Applications, 148, 113208. https://doi.org/10.1016/j.eswa.2020.113208
Biswas, S., Chatterjee, P., & Zavadskas, E. K. (2025). PRASIAS: A new preference ranking model for comparing organizational performance under disruption. International Journal of Information Technology & Decision Making. Advance online publication. https://doi.org/10.1142/S0219622025500208
Liang, G. S., & Wang, M. J. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22–33. https://doi.org/10.1016/0377-2217(94)90119-8
Liu, C. H., Tzeng, G. H., & Lee, M. H. (2012). Improving tourism policy implementation—The use of hybrid MCDM models. Tourism Management, 33(2), 413–426. https://doi.org/10.1016/j.tourman.2011.05.002
Panchal, D., Chatterjee, P., Shukla, R. K., Choudhury, T., & Tamošaitienė, J. (2017). Integrated fuzzy AHP-CODAS framework for maintenance decision in urea fertilizer industry. Economic Computation and Economic Cybernetics Studies and Research, 51(3), 179-196.
Panchal, D., Singh, A. K., Chatterjee, P., Zavadskas, E. K., & Keshavarz-Ghorabaee, M. (2019). A new fuzzy methodology-based structured framework for RAM and risk analysis. Applied Soft Computing, 74, 242–254. https://doi.org/10.1016/j.asoc.2018.10.033
Mind Tools. (n.d.). Grid analysis. Retrieved November 9, 2024, from http://www.mindtools.com/pages/article/newTED_03.htm
Mind Tools. (n.d.). PMI (Plus, Minus, Interesting). Retrieved November 9, 2024, from http://www.mindtools.com/pages/article/newTED_05.htm
Mind Tools. (n.d.). Decision tree analysis. Retrieved November 9, 2024, from http://www.mindtools.com/dectree.html
Mind Tools. (n.d.). Cash flow forecasting. Retrieved November 9, 2024, from http://www.mindtools.com/pages/article/newTMC_06.htm
Mind Tools. (n.d.). Cost benefit analysis. Retrieved November 9, 2024, from http://www.mindtools.com/pages/article/newTED_08.htm
Mind Tools. (n.d.). Stepladder technique. Retrieved November 9, 2024, from http://www.mindtools.com/pages/article/newTED_89.htm
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Divanshu Mittal (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All site content, except where otherwise noted, is licensed under the 