Building a measurement system of higher education performance: evidence from a Latin-American country
Purpose: The purpose of this paper aims to propose and validate a measurement scale for integrating performance in universities with a global and local Latin-American perspective. Design/methodology/approach: This research followed a sequential, mixed-method design which uses quantitative and qualit...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/5924
- Acceso en línea:
- http://hdl.handle.net/11407/5924
- Palabra clave:
- Exploratory factor analysis
Higher education
Performance
Thematic analysis
University
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- License
- http://purl.org/coar/access_right/c_16ec
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Building a measurement system of higher education performance: evidence from a Latin-American country |
| title |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| spellingShingle |
Building a measurement system of higher education performance: evidence from a Latin-American country Exploratory factor analysis Higher education Performance Thematic analysis University |
| title_short |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| title_full |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| title_fullStr |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| title_full_unstemmed |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| title_sort |
Building a measurement system of higher education performance: evidence from a Latin-American country |
| dc.subject.spa.fl_str_mv |
Exploratory factor analysis Higher education Performance Thematic analysis University |
| topic |
Exploratory factor analysis Higher education Performance Thematic analysis University |
| description |
Purpose: The purpose of this paper aims to propose and validate a measurement scale for integrating performance in universities with a global and local Latin-American perspective. Design/methodology/approach: This research followed a sequential, mixed-method design which uses quantitative and qualitative approaches. The data collection and analysis used two stages. The first stage was a systematic literature review analysing the data through a bibliometric analysis followed by thematic analysis. From this stage emerged the global universities' performance thematic map, a flow diagram for universities' performance system and a measurement scale. The second stage validated this scale applying a survey to the academic and administrative staff members of two Colombian private universities. A total of 705 useable responses were collected and analysed using exploratory factor analysis and the SPSS software. Findings: The results validated five dimensions (research, resources, internationalisation, extension and academics) and 15 indicators proposed to determine the performance in universities. This study concluded that the instrument developed for measuring performance is a consistent starting point for the study of universities in Latin-American countries such as Colombia. Research limitations/implications: This study empirically validated the instrument for measuring performance from a systemic perspective at universities; however, a broader validation of the measurement scale is needed in the context of developing countries in Latin America to generalise the results. Practical implications: Results provide a starting point considering the Latin-American context. They could help in future studies to improve the understanding of performance management in higher education. Originality/value: Performance in universities has created multiple parameters and indicators, generating a lack of global consensus for their measurement. Thereof, this paper contributes to filling this gap in Latin-American universities. This work postulates a starting point considering the local context from global reported findings. It integrated the relations visually for sub-dimension and performance indicators into the university performance system. From this research emerged a novel theoretical hierarchical model for measuring university performance. © 2020, Emerald Publishing Limited. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2021-02-05T14:57:56Z |
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2021-02-05T14:57:56Z |
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2020 |
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Article |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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0265671X |
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http://hdl.handle.net/11407/5924 |
| dc.identifier.doi.none.fl_str_mv |
10.1108/IJQRM-04-2020-0133 |
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0265671X 10.1108/IJQRM-04-2020-0133 |
| url |
http://hdl.handle.net/11407/5924 |
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eng |
| language |
eng |
| dc.relation.isversionof.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096343602&doi=10.1108%2fIJQRM-04-2020-0133&partnerID=40&md5=12db3a1cd1567c898a3f5079a4c8da9f |
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Ab-Hamid, Bin, M.R., Value-based performance excellence model for higher education institutions (2015) Quality and Quantity, 49 (5), pp. 1919-1944 Abubakar, A., Hilman, H., Kaliappen, N., New tools for measuring global academic performance (2018) Sage Open, 8 (3) Adina-Petruta, P., Roxana, S., Integrating six sigma with quality management systems for the development and continuous improvement of higher education institutions (2014) Procedia-Social and Behavioral Sciences, 143, pp. 643-648 Ahmad, A.R., Soon, N.K., Balanced scorecard in higher education institutions: what should be consider? (2015) Technology Management and Emerging Technologies (ISTMET), 2015 International Symposium on, pp. 64-68 Alani, F.S., Khan, M.F.R., Manuel, D.F., University performance evaluation and strategic mapping using balanced scorecard (BSC) case study-Sohar University, Oman (2018) International Journal of Educational Management, 32 (4), pp. 689-700 Arif, M., Smiley, F.M., Baldrige theory into practice: a working model (2004) International Journal of Educational Management, 18 (5), pp. 324-328 Asif, M., Searcy, C., A composite index for measuring performance in higher education institutions (2014) International Journal of Quality and Reliability Management, 31 (9), pp. 983-1001 Asif, M., Searcy, C., Determining the key capabilities required for performance excellence in higher education (2014) Total Quality Management and Business Excellence, 25 (1-2), pp. 22-35 Ball, R., Halwachi, J., Performance indicators in higher education (1987) Higher Education, 16 (4), pp. 393-405 Ballard, P.J., (2013) Measuring Performance Excellence: Key Performance Indicators for Institutions Accepted into the Academic Quality Improvement Program (AQIP), , https://scholarworks.wmich.edu/dissertations/196, Doctoral Thesis Dissertation, Western Michigan University, Michigan Ballentine, H., Eckles, J., Dueling scorecards: how two colleges utilise the popular planning method (2009) Planning for Higher Education, 37 (3), p. 27 Becker, J.-M., Klein, K., Wetzels, M., Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models (2012) Long Range Planning, 45 (5-6), pp. 359-394 Braun, V., Clarke, V., Using thematic analysis in psychology (2006) Qualitative Research in Psychology, 3 (2), pp. 77-101 Breakwell, G.M., Tytherleigh, M.Y., University leaders and university performance in the United Kingdom: is it ‘who’ leads, or ‘where’ they lead that matters most? (2010) Higher Education, 60 (5), pp. 491-506 Budimir, V., Lutilsky, I.D., Idlbek, R., Performance indicators development in function of higher education quality monitoring (2016) Entrepreneurship, Business and Economics, 2, pp. 17-46. , Springer Burke, J.C., Minassians, H.P., The new accountability: from regulation to results (2002) New Directions for Institutional Research, 2002 (116), pp. 5-19 Cartter, A.M., (1966) An Assessment of Quality in Graduate Education, , American Council on Education, Washington Cervone, H.F., Applied digital library project management: using Pareto analysis to determine task importance rankings (2009) OCLC Systems and Services, 25 (2), pp. 76-81 (2015) Acuerdo 03 de 2014. Lineamientos Para el Proceso de Acreditación de Instituciones de Educación Superior, , http://cms.colombiaaprende.edu.co/static/cache/binaries/articles-186359_Acuerdo_3_2014_Lin_Acr_IES.pdf?binary_rand=4559, Bogotá Chin, W.W., How to write up and report PLS analyses (2010) Handbook of Partial Least Squares, pp. 655-690. , doi:, Springer Chinta, R., Kebritchi, M., Elias, J., A conceptual framework for evaluating higher education institutions (2016) International Journal of Educational Management, 30 (6), pp. 989-1002 Cifuentes-Madrid, J.H., Arranz-Vals, P., Deulofeu, J., Best practice in university strategic management's conceptual framework (2015) Strategic Management of Universities in the Ibero-America Region, pp. 129-146. , doi:, Springer Cna, (2013) Lineamientos Para la Acreditación de Programas de Pregrado, , www.cna.gov.co/1741/articles-186359\_pregrado\_2013.pdf, Bogotá Conlon, M., Performance indicators: accountable to whom? (2004) Higher Education Management and Policy, 16 (1), pp. 41-48 Coste, A.I., Tiron-Tudor, A., Performance measurement in higher education: literature review (2015) Sea: Practical Application of Science, 3 (2), pp. 175-178 Creswell, J.W., Mixed methods research: introduction and application (1999) Handbook of Educational Policy, pp. 455-472. , Cijek, T. (Ed.), Academic Press, San Diego, California (2019) League table, , https://www.thecompleteuniversityguide.co.uk/league-tables/university-and-subject-league-tables-methodology/, accessed, 7 February 2019 Cullen, J., Joyce, J., Hassall, T., Broadbent, M., Quality in higher education: from monitoring to management (2003) Quality Assurance in Education, 11 (1), pp. 5-14 De la Torre, E.M., Gómez-Sancho, J.-M., Perez-Esparrells, C., Comparing university performance by legal status: a Malmquist-type index approach for the case of the Spanish higher education system (2017) Tertiary Education and Management, 23 (3), pp. 206-221 Diamantopoulos, A., Siguaw, J.A., Formative versus reflective indicators in organisational measure development: a comparison and empirical illustration (2006) British Journal of Management, 17 (4), pp. 263-282 Diamantopoulos, A., Riefler, P., Roth, K.P., Advancing formative measurement models (2008) Journal of Business Research, 61 (12), pp. 1203-1218 Dillman, D.A., Hao, F., Millar, M.M., Improving the effectiveness of online data collection by mixing survey modes (2016) The SAGE Handbook of Online Research Methods, p. 220. , p., SAGE Durieux, V., Gevenois, P.A., Bibliometric indicators: quality measurements of scientific publication (2010) Radiology, 255 (2), pp. 342-351 El-Hefnawy, M.R.M., El-Bastawissy, A.H., Kadry, M.A., Towards a composite index for measuring the higher education institutions in Egypt (2014) Science and Information Conference (SAI), 2014, pp. 31-41 Field, A., (2013) Discovering Statistics Using IBM SPSS Statistics, , Sage, London Ghosh, S., Das, N., New model of performance management and measurement in higher education sector (2013) Management, 2 (8), pp. 267-274 Gough, S., Scott, W., (2008) Higher Education and Sustainable Development: Paradox and Possibility, , Routledge, Oxford Gudergan, S.P., Ringle, C.M., Wende, S., Will, A., Confirmatory tetrad analysis in PLS path modeling (2008) Journal of Business Research, 61 (12), pp. 1238-1249 Henseler, J., Bridging design and behavioral research with variance-based structural equation modeling (2017) Journal of Advertising, 46 (1), pp. 178-192 Hossain, M.M., Hossain, M.A., Understanding the quality management of private universities in Bangladesh: a hierarchical model (2019) Quality Management Journal, 26 (4), pp. 191-206 Jalaliyoon, N., Bakar, N.A., Taherdoost, H., Marketisation of higher education institute identifying a set of performance measurements based on analytic hierarchy process (2014) Research Journal of Applied Sciences, Engineering and Technology, 8 (8), pp. 912-918 Jarratt-Report, (1985) Report of the Steering Committee for Efficiency Studies in Universities, , University of Edinburgh, Edinburgh Johnes, J., Performance assessment in higher education in Britain (1996) European Journal of Operational Research, 89 (1), pp. 18-33 Kanji, G.K., Malek, A., Tambi, B.A., Total quality management in UK higher education institutions (1999) Total Quality Management, 10 (1), pp. 129-153 Karuppusami, G., Gandhinathan, R., Pareto analysis of critical success factors of total quality management (2006) The TQM Magazine, 18 (4), pp. 372-385 Kasperavičiut, R., L'application du modèle EFQM d'excellence aux établissements de l'enseignement supérieur (2011) Viesoji Politika ir Administravimas, 10 (3), pp. 387-402 Keçetep, İ., Özkan, I., Quality assurance in the European higher education area (2014) Procedia-Social and Behavioral Sciences, 141, pp. 660-664 Landoni, P., Romero, C., Aseguramiento de la Calidad y Desarrollo de la Educación Superior Privada: comparaciones entre las experiencias de Argentina, Chile y Uruguay (2018) Calidad en la Educación, 25, pp. 263-282 Lemaitre, M.J., Aguilera, R., Dibbern, A., Hayt, C., Muga, A., Téllez, J., (2018) Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO). Centro Regional para la Educación Superior en América Latina y el Caribe (CRES). Instituto Internacional de la Unesco para la Educación Superior en América Latina y el Caribe (IESALC), , Córdoba, Argentina Lewis, D.R., Hendel, D.D., Kallsen, L., Performance indicators as a foundation of institutional autonomy: implications for higher education institutions in Europe (2007) Tertiary Education and Management, 13 (3), pp. 203-226 Manning, T.M., Institutional effectiveness as process and practice in the American community college (2011) New Directions for Community Colleges, 2011 (153), pp. 13-21 Masters, R.J., Leiker, L., Total quality management in higher education: applying deming's fourteen points (1992) CUPA Journal, 43 (2), pp. 27-31 Miller, B.A., (2016) Assessing Organisational Performance in Higher Education, , John Wiley and Sons, San Francisco, California (2019) All nobel prizes, , https://www.nobelprize.org/prizes/lists/all-nobel-prizes, accessed, 25 October 2019 Pollard, E., Williams, M., Williams, J., Bertram, C., Buzzeo, J., Drever, E., Coutinho, S., (2013) How Should We Measure Higher Education? A Fundamental Review of the Performance Indicators, , Institute for Employment Studies, Brighton (2019) QS world university ranking, , https://www.topuniversities.com/qs-world-university-rankings/methodology, accessed, 2 July 2019 (2019) QS stars: methodology, , https://www.topuniversities.com/qs-stars/qs-stars-methodology, accessed, 3 July 2019 Richman, B.M., Farmer, R.N., (1974) Leadership, Goals, and Power in Higher Education, , Jossey-Bass Publishers, San Francisco Roose, K.D., Andersen, C.J., others, (1970) A Rating of Graduate Programs, , American Council on Education, Washington Sarstedt, M., Hair, J.F., Jr., Cheah, J.-H., Becker, J.-M., Ringle, C.M., How to specify, estimate, and validate higher-order constructs in PLS-SEM (2019) Australasian Marketing Journal, 27 (3), pp. 197-211 Shute, S.J., Smith, P.J., Knowledge-based search tactics (1993) Information Processing and Management, 29 (1), pp. 29-45 Tambi, A.M.B.A., Ghazali, M.C., Yahya, N.B., The ranking of higher education institutions: a deduction or delusion? (2008) Total Quality Management and Business Excellence, 19 (10), pp. 997-1011 Tapinos, E., Dyson, R.G., Meadows, M., The impact of the performance measurement systems in setting the ‘direction’ in the University of Warwick (2005) Production Planning and Control, 16 (2), pp. 189-198 Tasopoulou, K., Tsiotras, G., Benchmarking towards excellence in higher education (2017) Benchmarking: An International Journal, 24 (3), pp. 617-634 Tee, K.F., Suitability of performance indicators and benchmarking practices in UK universities (2016) Benchmarking: An International Journal, 23 (3), pp. 584-600 Terkla, D., The most common performance indicators for institutions and their boards (2011) Trusteeship, 19 (1), pp. 1-5 (2019) THE World University Rankings, , https://www.timeshighereducation.com/world-university-rankings/methodology-world-university-rankings-2019, accessed, 2 July 2019 Urdari, C., Farcas, T.V., Tiron-Tudor, A., Assessing the legitimacy of HEIs' contributions to society: the perspective of international rankings (2017) Sustainability Accounting, Management and Policy Journal, 8 (2), pp. 191-215 Vazzana, G., Elfrink, J., Bachmann, D.P., A longitudinal study of total quality management processes in business colleges (2000) The Journal of Education for Business, 76 (2), pp. 69-74 Veiderpass, A., McKelvey, M., Evaluating the performance of higher education institutions in Europe: a nonparametric efficiency analysis of 944 institutions (2016) Applied Economics, 48 (16), pp. 1504-1514 Verry, D., Layard, P., Cost functions for university teaching and research (1975) The Economic Journal, 85 (337), pp. 55-74 Vlăsceanu, L., Grünberg, L., Pârlea, D., (2007) Quality Assurance and Accreditation: A Glossary of Basic Terms and Definitions, , Unesco-Cepes Bucharest, Bucharest Wang, X., (2010) Performance measurement in universities: managerial perspective, , http://purl.utwente.nl/essays/60180 Watts, T., McNair-Connolly, C.J., New performance measurement and management control systems (2012) Journal of Applied Accounting Research, 13 (3), pp. 226-241 Webometrics, (2019) Ranking of world universities, , http://www.webometrics.info/en/current_edition, accessed, 2 July 2019 Welford, P.R., Breaking the link between quality and the environment: auditing for sustainability and life cycle assessment (1993) Business Strategy and the Environment, 2 (4), pp. 25-33 Hsieh, H.-F., Shannon, S.E., Three approaches to qualitative content analysis (2005) Qualitative Health Research, 15 (9), pp. 1277-1288 |
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20202021-02-05T14:57:56Z2021-02-05T14:57:56Z0265671Xhttp://hdl.handle.net/11407/592410.1108/IJQRM-04-2020-0133Purpose: The purpose of this paper aims to propose and validate a measurement scale for integrating performance in universities with a global and local Latin-American perspective. Design/methodology/approach: This research followed a sequential, mixed-method design which uses quantitative and qualitative approaches. The data collection and analysis used two stages. The first stage was a systematic literature review analysing the data through a bibliometric analysis followed by thematic analysis. From this stage emerged the global universities' performance thematic map, a flow diagram for universities' performance system and a measurement scale. The second stage validated this scale applying a survey to the academic and administrative staff members of two Colombian private universities. A total of 705 useable responses were collected and analysed using exploratory factor analysis and the SPSS software. Findings: The results validated five dimensions (research, resources, internationalisation, extension and academics) and 15 indicators proposed to determine the performance in universities. This study concluded that the instrument developed for measuring performance is a consistent starting point for the study of universities in Latin-American countries such as Colombia. Research limitations/implications: This study empirically validated the instrument for measuring performance from a systemic perspective at universities; however, a broader validation of the measurement scale is needed in the context of developing countries in Latin America to generalise the results. Practical implications: Results provide a starting point considering the Latin-American context. They could help in future studies to improve the understanding of performance management in higher education. Originality/value: Performance in universities has created multiple parameters and indicators, generating a lack of global consensus for their measurement. Thereof, this paper contributes to filling this gap in Latin-American universities. This work postulates a starting point considering the local context from global reported findings. It integrated the relations visually for sub-dimension and performance indicators into the university performance system. From this research emerged a novel theoretical hierarchical model for measuring university performance. © 2020, Emerald Publishing Limited.engEmerald Group Holdings Ltd.Administración de EmpresasFacultad de Ciencias Económicas y Administrativashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096343602&doi=10.1108%2fIJQRM-04-2020-0133&partnerID=40&md5=12db3a1cd1567c898a3f5079a4c8da9fAb-Hamid, Bin, M.R., Value-based performance excellence model for higher education institutions (2015) Quality and Quantity, 49 (5), pp. 1919-1944Abubakar, A., Hilman, H., Kaliappen, N., New tools for measuring global academic performance (2018) Sage Open, 8 (3)Adina-Petruta, P., Roxana, S., Integrating six sigma with quality management systems for the development and continuous improvement of higher education institutions (2014) Procedia-Social and Behavioral Sciences, 143, pp. 643-648Ahmad, A.R., Soon, N.K., Balanced scorecard in higher education institutions: what should be consider? (2015) Technology Management and Emerging Technologies (ISTMET), 2015 International Symposium on, pp. 64-68Alani, F.S., Khan, M.F.R., Manuel, D.F., University performance evaluation and strategic mapping using balanced scorecard (BSC) case study-Sohar University, Oman (2018) International Journal of Educational Management, 32 (4), pp. 689-700Arif, M., Smiley, F.M., Baldrige theory into practice: a working model (2004) International Journal of Educational Management, 18 (5), pp. 324-328Asif, M., Searcy, C., A composite index for measuring performance in higher education institutions (2014) International Journal of Quality and Reliability Management, 31 (9), pp. 983-1001Asif, M., Searcy, C., Determining the key capabilities required for performance excellence in higher education (2014) Total Quality Management and Business Excellence, 25 (1-2), pp. 22-35Ball, R., Halwachi, J., Performance indicators in higher education (1987) Higher Education, 16 (4), pp. 393-405Ballard, P.J., (2013) Measuring Performance Excellence: Key Performance Indicators for Institutions Accepted into the Academic Quality Improvement Program (AQIP), , https://scholarworks.wmich.edu/dissertations/196, Doctoral Thesis Dissertation, Western Michigan University, MichiganBallentine, H., Eckles, J., Dueling scorecards: how two colleges utilise the popular planning method (2009) Planning for Higher Education, 37 (3), p. 27Becker, J.-M., Klein, K., Wetzels, M., Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models (2012) Long Range Planning, 45 (5-6), pp. 359-394Braun, V., Clarke, V., Using thematic analysis in psychology (2006) Qualitative Research in Psychology, 3 (2), pp. 77-101Breakwell, G.M., Tytherleigh, M.Y., University leaders and university performance in the United Kingdom: is it ‘who’ leads, or ‘where’ they lead that matters most? (2010) Higher Education, 60 (5), pp. 491-506Budimir, V., Lutilsky, I.D., Idlbek, R., Performance indicators development in function of higher education quality monitoring (2016) Entrepreneurship, Business and Economics, 2, pp. 17-46. , SpringerBurke, J.C., Minassians, H.P., The new accountability: from regulation to results (2002) New Directions for Institutional Research, 2002 (116), pp. 5-19Cartter, A.M., (1966) An Assessment of Quality in Graduate Education, , American Council on Education, WashingtonCervone, H.F., Applied digital library project management: using Pareto analysis to determine task importance rankings (2009) OCLC Systems and Services, 25 (2), pp. 76-81(2015) Acuerdo 03 de 2014. Lineamientos Para el Proceso de Acreditación de Instituciones de Educación Superior, , http://cms.colombiaaprende.edu.co/static/cache/binaries/articles-186359_Acuerdo_3_2014_Lin_Acr_IES.pdf?binary_rand=4559, BogotáChin, W.W., How to write up and report PLS analyses (2010) Handbook of Partial Least Squares, pp. 655-690. , doi:, SpringerChinta, R., Kebritchi, M., Elias, J., A conceptual framework for evaluating higher education institutions (2016) International Journal of Educational Management, 30 (6), pp. 989-1002Cifuentes-Madrid, J.H., Arranz-Vals, P., Deulofeu, J., Best practice in university strategic management's conceptual framework (2015) Strategic Management of Universities in the Ibero-America Region, pp. 129-146. , doi:, SpringerCna, (2013) Lineamientos Para la Acreditación de Programas de Pregrado, , www.cna.gov.co/1741/articles-186359\_pregrado\_2013.pdf, BogotáConlon, M., Performance indicators: accountable to whom? (2004) Higher Education Management and Policy, 16 (1), pp. 41-48Coste, A.I., Tiron-Tudor, A., Performance measurement in higher education: literature review (2015) Sea: Practical Application of Science, 3 (2), pp. 175-178Creswell, J.W., Mixed methods research: introduction and application (1999) Handbook of Educational Policy, pp. 455-472. , Cijek, T. 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