Identifying and Ranking of Competitive Performance Evaluation Criteria of Universities Using Multi-Criteria Decision Making Techniques

Document Type : Original Article

Author

Assistant Professor, Department of Management, Bandar Anzali Unit, Islamic Azad University, Bandar Anzali, Bandar Anzali, Iran

Abstract
The purpose of this study is to identify and rank the criteria for assessing the competitive performance of the university using multi-criteria decision-making techniques. The present study is descriptive and the research community consists of 15 people who are knowledgeable in the field of higher education and science and technology policy. A library collection method and a data gathering tool was a researcher-made questionnaire consisting of 6 criteria and 53 sub-criteria based on a comprehensive review of the literature related to university performance evaluation indicators. The identification, ranking and validation of the tool using AHP and TOPSIS Techniques showed that the criteria of compilation of competitive strategies, management and leadership of the university and the relationship with higher education stakeholders ranked first to third in the indicators of competitive performance assessment. Allocate.Finally, it is suggested that policy makers in higher education, in planning the development of performance indicators of the university, will propose a multidisciplinary multidisciplinary outline of the proposed competitive performance indicators of the present study and, in regular and regular meetings, establish competitive culture in the Pyramid of Higher Educational Institution.

Keywords


رسته مقدم، آ؛ مانیان، ا؛ مهرگان، م. ر و عباسپور، ع (1393). چالش‏های کاربست زنجیره‏ی ارزش در آموزش عالی، نامه‏ی آموزش عالی، 7(26)، 49-76.
خسروی، م؛ آرمان، م (1394). الگویی برای پیاده سازی نوآوری در برنامه‏ی درسی آموزش عالی ایران، دو فصل نامه نوآوری و ارزش آفرینی، 3(7)، 86-66
Cotton,D.RE., Nash, T. & Kneale, P. (2017). Supporting the retention of non-traditional students in higher education, using a resilience framework, European Educational Research Journal, 16(1): 62-79.
Dennis,C., Papagiannidis, S., Alamanos,E. & Bourlakis, M. (2016). The role of Br& attachment strength in Higher Education, Journal of Business Research, 69: 3049-3059.
Fowles,J.T. & T&berg,D.A. (2017). State higher education spending: A spatial econometric perspective. American Behavior Scientist, University of Kansas, 1-26.
Gambhir,V.,Wadhwa, N.C. & Grover, S. (2016). Quality concerns in technical education in India, A quantifiable quality enabled model, Quality assurance in Education, 24(1): 2-25.
HALL, H. & WITEK, L. 2016. Conditions, Contemporary Importance & Prospects of Higher Education Marketing on the Example of Polish Universities. Procedia Economics & Finance, 39: 206–211.
Han, H., Kim, J., Jeong, C., & Cohen, G. L. (2017). Attainable & relevant moral exemplars are more effective than extraordinary exemplars in promoting voluntary service engagement. Frontiers in Psychology, 8(283).
Louche,C. & Roome,N. (2016). Journeying toward Business models for sustainability: A conceptual model found inside the Black box of organizational transformation, Organization & Development, 29(1): 11-35.
Mason, Katy & Chakrabarti, Ronika. (2016). The role of proximity in business model design: Making business models work for those at the bottom of the pyramid. Industrial Marketing Management. 10.1016/j.indmarman.2016.08.005.
Palmar, A., Assad, Y. & Koenig, N. (2016). Br& Identification in Higher Education: A conditional process analysis, Journal of Business Research, in press paper.
Palonen T & Hakkarainen K (2013). Discourses on Professional Learning: On the Boundary between Learning & Working” within Springer book series “Professional & Practice-based Learning” Eds.
Pathak, V. & Pathak, Kavita. (2010). Reconfiguring the higher education value chain. Management in Education. 24: 166-171. 10.1177/0892020610376791.
Powel,J.J.W., Berrnhard,N. & Graf,L. (2013). The emergent European Model in Skill formation: Comparing Higher education & Vocational training in the Bologna & Copenhagen process, Sociology of Education, 85(3): 240-258.
Preston F. (2012). A global Redesign? Shaping the Circular Economy. Energy. Enviroment & Resource Governance.
R&eles,S. & Laasch, O. (2015). Theorizing the Normative business model. Organization & Development, University of Manchester, UK. Doi: 10.1177/1086026615592934.
Ranjith Kumar.Y, Madhu Priya.M & Shahu Chatrapati.K, “Effective Distributed Dynamic Load Balancing for The Clouds”, International Journal of Engineering Research & Technology (IJERT), 2(2): 1-6.
Roome, N., & Louche, C. (2016). Journeying Toward Business Models for Sustainability: A Conceptual Model Found Inside the Black Box of Organisational Transformation.
Sahney, S. & Thakkar, J. (2016). A comparative assessment of performance of selected Higher Education institutes in India, Quality Assurance in Education, 24: 1-30.
Tapia-Fonllem, C. Fraijo-Sing, B., Corral- Verdugo, V. & Valdez, A.O. (2017). Education for sustainable development in Higher Education Institutions: Its influence on the pro-sustainability orientation of Mexican students, Doi: 10.1177/2158244016676295. Sage publication.
Tian, X. & Martin, B. (2014). Business model for Higher Education: An Australian Perspective, Journal of Management Development, 33: 932-948
Thakkar, S. V., Sahney, N., Joshi, S. B., Kerwin, B. A., He, F., Volkin, D. B., & Middaugh, C. R. (2013). Underst&ing the relevance of local conformational stability & dynamics to the aggregation propensity of an IgG1 & IgG2 monoclonal antibodies. Protein science: a publication of the Protein Society, 22(10): 1295–1305.