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Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector
Volume 36, Issue 1 (2025), pp. 197–222
Jafar Torkzadeh   Dragan Pamucar   Sadegh Niroomand  

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https://doi.org/10.15388/23-INFOR541
Pub. online: 6 December 2023      Type: Research Article      Open accessOpen Access

Received
1 July 2023
Accepted
1 November 2023
Published
6 December 2023

Abstract

In this study, effect of the environmental factors on the organizational behaviour in higher education sector is analysed and these factors are prioritized. For this aim, first, the environmental criteria affecting the organizational behaviour of higher education sector are selected from the literature. Then, as a solution methodology, (i) some experts are asked to determine pairwise comparison of the criteria, (ii) the linguistic terms are converted to interval-valued Pythagorean fuzzy values, and (iii) an interval-valued Pythagorean fuzzy DEMATEL approach is developed and applied. According to the results, most of the economic, political, and professional domain criteria are of the cause category.

References

 
Alcaine, J.G. (2016). Factors Affecting Institutional Performance at High and Very High Research Universities: Policy Implications. Theses and Dissertations, Virginia Commonwealth University.
 
Ali, A., Ullah, K., Hussain, A. (2023). An approach to multi-attribute decision-making based on intuitionistic fuzzy soft information and Aczel-Alsina operational laws. Journal of Decision Analytics and Intelligent Computing, 3(1), 80–89. https://doi.org/10.31181/jdaic10006062023a.
 
Alinezhad, A., Khalili, J. (2019). DEMATEL method. In: New Methods and Applications in Multiple Attribute Decision Making (MADM), pp. 103–108.
 
Ar, I.M. (2012). The impact of green product innovation on firm performance and competitive capability: the moderating role of managerial environmental concern. Procedia-Social and Behavioral Sciences, 62, 854–864.
 
Beketova, O. (2016). External and internal environment of higher school: influence on the quality of education. In: SHS Web of Conferences, Vol. 29. EDP Sciences, p. 02003.
 
Burton, R.M., Obel, B. (2015). Strategic Organizational Diagnosis and Design: The Dynamics of Fit. Kluwer Academic Publishers, Dordrecht.
 
Daigle, S., Cuocco, P. (2002). Public Response & Higher Education. Education Center for Applied Research. Research bulten (available www.educause.edu/ecar).
 
Dananjaya, I., Kuswanto, A. (2015). Influence of external factors on the performance through the network of small and medium enterprises. European Journal of Business and Management, 7(27), 38–48.
 
Das, K.A., Granados, C. (2022). FP-intuitionistic multi fuzzy N-soft set and its induced FP-Hesitant N soft set in decision-making. Decision Making: Applications in Management and Engineering, 5(1), 67–89.
 
Dinçer, H., Yüksel, S., Eti, S. (2023). Identifying the right policies for increasing the efficiency of the renewable energy transition with a novel fuzzy decision-making model. Journal of Soft Computing and Decision Analytics, 1(1), 50–62. https://doi.org/10.31181/jscda1120234.
 
Fontela, E., Gabus, A. (1976). The DEMATEL Observer. DEMATEL 1976 Report. Battelle Geneva Research Center, Switzerland, Geneva.
 
Gibson, J.L. (2007). Organizational ethics and the management of health care organizations. Health Management Forum, 20(1), 38–41.
 
Gita Kumari, I., Pradhan, R.K. (2014). Human resource flexibility and organizational effectiveness: role of organizational citizenship behavior and employee intent to stay. International Journal of Business and Management Invention, 3(11), 43–51.
 
Jafarzadeh Ghoushchi, S., Sarvi, S. (2023). Prioritizing and evaluating risks of ordering and prescribing in the chemotherapy process using an extended SWARA and MOORA under fuzzy Z-numbers. Journal of Operations Intelligence, 1(1), 44–66. https://doi.org/10.31181/jopi1120238.
 
Kapoor, Sh., Jain, T.K. (2017). Organizational behavior. Journal of Advanced Research in HR and Organizational Management, 3(4), 105–130.
 
Ketkar, S., Sett, P.K. (2009). HR flexibility and firm performance: analysis of a multi-level causal model. The International Journal of Human Resource Management, 20(5), 1009–1038.
 
Kirschner, P.A., Karpinski, A.C. (2010). Facebook® and academic performance. Computers in Human Behavior, 26(6), 1237–1245.
 
Kreysing, M. (2002). Autonomy, accountability, and organizational complexity in higher education: the Goettingen model of university reform. Journal of Educational Administration, 40(6), 552–560.
 
Luthans, F., Luthans, B.C., Luthans, K.W. (2021). Organizational Behavior: An Evidence-Based Approach, 14th edition. IAP.
 
Mahmoodirad, A., Niroomand, S. (2023). A heuristic approach for fuzzy fixed charge transportation problem. Journal of Decision Analytics and Intelligent Computing, 3(1), 139–147. https://doi.org/10.31181/jdaic10005092023m.
 
Makolov, V. (2019). Context of organization and quality management. In: IOP Conference Series: Earth and Environmental Science, Vol. 272. IOP Publishing, 032216.
 
Mishra, A.R., Rani, P., Cavallaro, F., Alrasheedi, A.F. (2023). Assessment of sustainable wastewater treatment technologies using interval-valued intuitionistic fuzzy distance measure-based MAIRCA method. Facta Universitatis, Series: Mechanical Engineering, 359, 386. https://doi.org/10.22190/FUME230901034M.
 
Munizu, M. (2010). Influencing factors against external and internal performance micro and small enterprises (MSEs) in South Sulawesi. E-Journal of Management And Entrepreneurship, 12(1), 33–41.
 
Mwesigye, A., Muhangi, G. (2015). Globalization and higher education in Africa. Journal of Modern Education Review, 5(1), 97–112.
 
Nabatchi, T.L., Blomgren, B.L., David, H. (2007). Organizational justice and workplace mediation: a six-factor model. International Journal of Conflict Management, 18(2), 148–174.
 
Narang, M., Joshi, M.C., Bisht, K., Pal, A. (2022). Stock portfolio selection using a new decision-making approach based on the integration of fuzzy CoCoSo with Heronian mean operator. Decision Making: Applications in Management and Engineering, 5(1), 90–112.
 
Naseem, A., Akram, M., Ullah, K., Ali, Z. (2023). Aczel-Alsina aggregation operators based on complex single-valued neutrosophic information and their application in decision-making problems. Decision Making Advances, 1(1), 86–114. https://doi.org/10.31181/dma11202312.
 
Nezhad, M.Z., Nazarian-Jashnabadi, J., Rezazadeh, J., Mehraeen, M., Bagheri, R. (2023). Assessing dimensions influencing IoT implementation readiness in industries: a fuzzy DEMATEL and fuzzy AHP analysis. Journal of Soft Computing and Decision Analytics, 1(1), 102–123. https://doi.org/10.31181/jscda11202312.
 
Niroomand, S., Mirzaei, N., Hadi-Vencheh, A. (2019). A simple mathematical programming model for countries’ credit ranking problem. International Journal of Finance & Economics, 24(1), 449–460.
 
O’Brien, S.J. (2011). Facebook and Other Internet Use and the Academic Performance of College Students. Doctoral dissertation, Temple University.
 
Otay, I., Jaller, M. (2020). A novel pythagorean fuzzy AHP and TOPSIS method for the wind power farm location selection problem. Journal of Intelligent & Fuzzy Systems, 39(5), 6193–6204.
 
Pamucar, D., Deveci, M., Gokasar, I., Işık, M., Zizovic, M. (2021). Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model. Journal of Cleaner Production, 323, 129096.
 
Pamučar, D., Stević, Ž., Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: full consistency method (FUCOM). Symmetry, 10(9), 393.
 
Presmus, R., Sanders, N., Jain, R.K. (2003). Role of the university in regional economic development: the US experience. International Journal of Technology Transfer and Commercialisation, 2(4), 369–383.
 
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57.
 
Rezazadeh, J., Bagheri, R., Karimi, S., Nazarian-Jashnabadi, J., Zahedian Nezhad, M. (2023). Examining the impact of product innovation and pricing capability on the international performance of exporting companies with the mediating role of competitive advantage for analysis and decision making. Journal of Operations Intelligence, 1(1), 30–43. https://doi.org/10.31181/jopi1120232.
 
Rizvi, F. (2007). Postcolonialism and globalization in education. Cultural Studies? Critical Methodologies, 7(3), 256–263.
 
Robbins, S.P., Judge, T. (2016). Organizational Behavior, 16th ed. Pearson International Edition.
 
Rojas, R.R. (2000). A review of models for measuring organizational effectiveness among for profit and nonprofit organizations. Nonprofit Management & Leadership, 11(1), 97–104.
 
Sahoo, S.K., Goswami, S.S. (2023). A comprehensive review of multiple criteria decision-making (MCDM) methods: advancements, applications, and future directions. Decision Making Advances, 1(1), 25–48. https://doi.org/10.31181/dma1120237.
 
Srikanthan, G., Dalrymple, J. (2003). Developing alternative perspectives for quality in higher education. International Journal of Educational Management, 17(3), 126–136.
 
Torkzadeh, J., Dehghan Harati, F. (2015). A comparative analysis of staff organizational behavior foundations (a case study of Shiraz University). Asian Journal of Research in Social Sciences and Humanities, 5(3), 239–261.
 
Torkzadeh, J., Abdesharifi, F., Abasi, A., Salimi, G. (2019). Organizational environment management in higher education institutions with complex adaptive system approach: practical implications in the management of medical education institutions. Research in Medical Education, 11(3), 71–83.
 
Voiculet, A., Belu, N., Parpandel, D.E., Rizea, I.C. (2010). The Impact of External Environment on Organizational Development Strategy. Constantin Brancoveanu University. Online at https://mpra.ub.uni-muenchen.de/26303/.
 
Wang, P., Zhu, B., Yu, Y., Ali, Z., Almohsen, B. (2023). Complex intuitionistic fuzzy DOMBI prioritized aggregation operators and their application for resilient green supplier selection. Facta Universitatis, Series: Mechanical Engineering, 21(3), 339–357. https://doi.org/10.22190/FUME230805029W.
 
Yager, R.R. (2013). Pythagorean fuzzy subsets. In: 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, pp. 57–61.
 
Younis Al-Zibaree, H.K., Konur, M. (2023). Fuzzy analytic hierarchal process for sustainable public transport system. Journal of Operations Intelligence, 1(1), 1–10. https://doi.org/10.31181/jopi1120234.
 
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
 
Zhang, G., Lee, G. (2010). The moderation effects of perceptions of organizational politics on the relationship between work stress and turnover intention: an empirical study about civilian in skeleton government of China. I-Business, 2(3), 268.
 
Zhang, X., Xu, Z. (2014). Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems, 29(12), 1061–1078.
 
Žižović, M., Pamucar, D. (2019). New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 126–137.

Biographies

Torkzadeh Jafar

J. Torkzadeh is a professor of Educational Administration and Planning at the Department of Educational Administration and Planning, Shiraz University, Iran. His research interests are mainly about behavior management and change in social systems, and environment management and sustainability. He is the author of several JCR indexed publications. In addition, he has been the executer of several regional and national research projects on social capital, organizational structure, and management for sustainability, in Iran.

Pamucar Dragan
dragan.pamucar@fon.bg.ac.rs

D. Pamucar is a professor at University of Belgrade, Faculty of Organizational Sciences. Dr. Pamucar received a PhD in applied mathematics with specialization in multi-criteria modeling and soft computing techniques, from University of Defence in Belgrade, Serbia in 2013 and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade, 2009. His research interests are in the field of computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, and neutrosophic theory. Application areas include a wide range of logistics and engineering problems. Dr. Pamucar has five books and over 300 research papers published in SCI indexed International Journals including Experts Systems with Applications, Applied Soft Computing, Soft Computing, Computational Intelligence, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions of Fuzzy Systems, IEEE Transactions on Transportation Electrification, Information Sciences and Research and so on, and many more. According to Scopus and Stanford University, he is among the World top 2% of scientists as of 2021 and 2022. According to WoS and Clarivate, he is among the top 1% of highly cited researchers.

Niroomand Sadegh
sadegh.niroomand@yahoo.com

S. Niroomand is an associate professor of industrial engineering in Firouzabad Higher Education Center which is a part of Shiraz University of Technology in Iran. He received his PhD degree in industrial engineering from Eastern Mediterranean University (in Turkey) in 2013. His research interests are operation research, fuzzy theory, exact and meta-heuristic solution approaches. He has published more than 70 papers in international scientific journals where most of these journals are indexed by JCR.


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DEMATEL interval-valued Pythagorean fuzzy sets and numbers organizational behaviour higher education sector environmental criteria

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