Portuguese state university performance according to students: an efficiency analysis

Autores

  • Emerson Wagner Mainardes FUCAPE Business School
  • Helena Alves University of Beira Interior
  • Mario Raposo University of Beira Interior

DOI:

https://doi.org/10.21573/vol32n22016.64633

Palavras-chave:

Data envelopment envelopment, higher education, student satisfaction, student expectations

Resumo

The objective of this research project is to evaluate the performance of Portuguese state universities in accordance with the expectations and satisfactions of their students and through recourse to the DEA methodology and thus representing one of the very few studies analysing university performance based upon student perceptions. According to an output oriented Variable Returns to Scale model, handling the responses returned by 1,669 students, the results demonstrate that faculties generally attain a good relationship between student expectations and their levels of satisfaction. We furthermore conclude that university scale does not guarantee efficiency. Hence, irrespective of size, universities are able to ensure the satisfaction of their students. Finally, the results show that satisfying only certain expectations related to specific aspects does not prove sufficient to guaranteeing overall student satisfaction. The analysis also correspondingly finds that while some decision making units prove efficient in satisfying expectations on specific aspects, they fail to attain such efficiency in the overall perspective of students.

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Referências

Alves, H., & Raposo, M. (2007). “Student Satisfaction Index in Portuguese public higher education”, The Service Industries Journal, 27, 6, 795-808.

Anderson, E., & Fornell, C. (2000). “The Customer Satisfaction Index as a leading indicator”. In: Swartz, T. and Iacobucci, D. (Eds.), Handbook of service marketing and management. London: Sage Publications, 255-267.

Arnett, D., German, S., & Hunt, S. (2003). “The identity salience model of relationship marketing success: the case of nonprofit marketing”, Journal of Marketing, 67, 1, 89-105.

Avkiran, N. (1999). “An application reference for data envelopment analysis in branch banking: helping the novice researcher”, International Journal of Bank Marketing, 17, 5, 206-220.

Avkiran, N. (2001). “Investigating technical and scale efficiencies of Australian universities through data envelopment analysis”, Socio-Economic Planning Sciences, 35, 1, 57-80.

Banker, R., & Maindiratta, A. (1986). “Piecewise loglinear estimation of efficient production surfaces”, Management Science, 32,1,126-135.

Banker, R., & Morey, R. (1986). “Efficiency analysis for exogenously fixed inputs and outputs”, Operations Research, 34, 4, 513-521.

Banker, R., Charnes, A., & Cooper, W. (1984). “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, 30, 9, 1078-1092.

Charnes, A., Cooper, W., & Rodhes (1978). “Measuring the efficiency of decision marking units”, European Operational Research, 2, 6, 429-444.

Charnes, A., Cooper, W., Lewin, A., & Seiford, L. (1994). Data envelopment analysis: theory, methodology and application. Boston: Kluwer Academic Publishers.

Cooper, W., Seiford, L., & Tone, K. (2000). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-Solver software. Boston: Kluwer Academic Publishers.

Cooper, W., Seiford, L., & Tone, K. (2006). Introduction to data envelopment analysis and its uses. New York: Springer.

Epstein, M., & Henderson, J. (1989). “Data envelopment analysis for managerial control and diagnosis”, Decision Sciences, 20,1, 90-119.

Fandel, G. (2007). “On the performance of universities in North Rhine-Westphalia, Germany government’s redistribution of funds judged using DEA efficiency measures”, European Journal of Operational Research, 176, 1, 521-533.

Farrell, M. (1957). “The measurement of productive efficiency”, Journal of the Royal Statistical Society, series A, 20, 3, 253-281.

Farrell, M., & Fieldhouse, M. (1962). “Estimating efficient production frontiers under increasing returns to scale. Journal of the Royal Statistical Society, series A, 125, 3, 252-267.

Galbraith, K. (2003). “Towards quality private higher education in Central and Eastern Europe”, Higher Education in Europe, 28, 4, 539-559.

Garver, M. (2003). “Best practices in identifying customer-driven improvement opportunities”, Industrial Marketing Management, 32, 1, 455-466.

Grönroos, C. (2000). “Service reflections: service marketing comes of age”. In: Swartz, T. and Iacobucci, D. (Eds.), Handbook of service marketing and management. London: Sage Publications, 13-16.

Grönroos, C., & Ojasalo, K. (2004). “Service productivity: towards a conceptualization of the transformation of inputs into economic results in services”, Journal of Business Research, 57, 1, 414-423.

Hair Jr., J., Babin, B., Money, A., & Samouel, P. (2003). Essentials of business research methods. New Jersey: John Wiley & Sons.

Johnes, J. (2006). “Data envelopment analysis and its application to the measurement of efficiency in higher education”, Economics of Education Review, 25, 1, 273-288.

Jongbloed, B., Enders, J., & Salerno, C. (2008). “Higher education and its communities: interconnections, interdependencies and research agenda”, Higher Education, 56, 303-324.

Kantabutra, S., & Tang, J. (2010). “Efficiency analysis of public universities in Thailand”, Tertiary Education and Management, 16, 1, 15-33.

Kirkley, J., Färe, R., Grosskopf, S., McConnell, K., Strand, I., & Squires, D. (2001). “Assessing capacity in fisheries when data are limited”, North American Journal of Fisheries Management, 21, 3, 482-497.

Kotler, P. (2003). Marketing management: analysis, planning, implementation and control. Englewood Cliffs, New Jersey: Prentice Hall.

Mainardes, E., Alves, H., & Domingues, M. (2009). “Which factors are important to attract students for undergraduate administration courses?”, The FedUni Journal of Higher Education, 4, 1, 84-102.

Sarrico, C., & Dyson, R. (2000). “Using DEA for planning in UK universities: an institutional perspective”, Journal of the Operational Research Society, 51, 7, 789-800.

Scheerens, J. (2000). Improving school effectiveness. Paris: UNESCO.

Shaw, E.(2009). “A general theory of systems performance criteria”, International Journal of General Systems, 38, 8, 851-869.

Vargo, S., & Lusch, R. (2004). “Evolving to a new dominant logic for marketing”, Journal of Marketing, 68, 1, 1-17.

Weick, K. (¬1976). “Educational organizations as loosely coupled systems”. Administrative Science Quarterly, 21, 1-19.

Youn, J., & Park, K. (2009). “University development models and efficiency analysis”, Journal of Service Science, 1, 1, 9-30.

Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets. 2 ed. New York: Springer.

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Publicado

2016-08-21

Como Citar

Mainardes, E. W., Alves, H., & Raposo, M. (2016). Portuguese state university performance according to students: an efficiency analysis. Revista Brasileira De Política E Administração Da Educação, 32(2), 421–447. https://doi.org/10.21573/vol32n22016.64633