Performance Indicators Development in Function of Higher Education Quality Monitoring

Budimir, Verica; Lutilsky, Ivana Dražić; Idlbek, Robert

doi:10.1007/978-3-319-27573-4_2

Cited by 5 publications

(9 citation statements)

References 12 publications

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“…About extension, universities globally accept the relevance of employability and services to the community as universities PIs (Asif and Searcy, 2014b; Pollard et al , 2013; Tambi et al , 2008; Wang, 2010). The first one is classified mostly as a learning-teaching output in developed countries (Budimir et al , 2016; Pollard et al , 2013; Wang, 2010) but rankings accepted as part of extension (Urdari et al , 2017). However, Latin-American systems saw it as pertinence and social impact (CESU, 2015; CNA, 2013; Lemaitre et al , 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Resources performance consists not only of the financial and human resources component (Wang, 2010) but of all the support services for the fulfilment of the missional functions. These are physical plant, laboratories, technology, books and databases, amongst others; all concentrated as infrastructure resources (Ballard, 2013; Budimir et al , 2016; Pollard et al , 2013; QS, 2019b; THE, 2019).…”

Section: Literature Review For Performance In Universitiesmentioning

confidence: 99%

“…The university is a system composed of two subsystems, the academic and the administrative (Gough and Scott, 2008) and, each subsystem have their stakeholders. Literature shows that both subsystems certify quality independently but in a complementary way because the administrative subsystem serves the academic (Budimir et al ., 2016; Gough and Scott, 2008). Generally, administrative processes use organisational quality assurance programs and tools to increase efficiencies and, obtaining quality certificates (Welford, 1993).…”

Section: Introductionmentioning

confidence: 99%

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Building a measurement system of higher education performance: evidence from a Latin-American country

Hernández-Diaz

Polanco

Escobar-Sierra

2020

IJQRM

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PurposeThe 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/approachThis 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.FindingsThe 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/implicationsThis 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 implicationsResults 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/valuePerformance 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.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Review For Performance In Universitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Building a measurement system of higher education performance: evidence from a Latin-American country

Hernández-Diaz

Polanco

Escobar-Sierra

2020

IJQRM

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“…A considerable amount of literature has been published on quality audit indicators as means to highlight the importance of good service delivery standards and assurance (Budimir et al 2016;Teng et al 2012;Xin and Chan 2014). Quality assurance certification is the outcome from quality performance indicators, which are set as the measurement to improve service delivery through standard, evidence-based measures and highlight quality improvement over time.…”

Section: Quality Audit Indicators In Tourismmentioning

confidence: 99%

Quality Audit Indicators for Inbound Tourism: A Qualitative Study on Malaysian Travel Agencies

Saad

Ali

Ismail³

et al. 2021

Eurasian Business Perspectives

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“…Si queremos medir la explotación y la exploración del conocimiento en las universidades es preciso determinar que indicadores son necesarios. Además, en el contexto de la IES el seguimiento del desempeño es importante para el financiamiento de programas y el establecimiento de objetivos estratégicos (Budimir et al, 2016).…”

Section: Niveles De Control De Simonsunclassified

Estudio comparativo de los Sistemas de Control en el contexto estratégico de las Instituciones de Educación Superior en Iberoamérica

Hurtado¹

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The main purpose of this research is to analyze the exploration and exploitation of knowledge in universities that support innovation and entrepreneurship in their environment. For this, the Performance Measurement Systems (PMS) of the universities management are analyzed as a proxy for the implementation of the strategic vision of the universities. This study is based on a systematic literature review on the subject, supported by the technical possibilities offered by the MAXQDA (The Art of Data Analysis) program. The databases used were the following: Elsevier (Science Direct), Springer, Wiley and Taylor & Francis. The main findings suggest that organizational ambidexterity, in general, develops unevenly and from different approaches, among which innovation, learning and strategy stand out. However, organizational ambidexterity hardly develops in a university context, where most of the university activities require some knowledge of the technological frontier. Therefore, it is necessary to analyze and understand these two dimensions (exploration and exploitation) and their positive influence on entrepreneurship. In a context where the development of technology and science happens at an ever-increasing speed, a balance between exploration and exploitation is necessary, which should be reflected in the different control mechanisms in academic environments, such as the Performance Measurement Systems (PMS). The analysis of these systems will allow to know the position of the universities in the face of ambidexterity.

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Performance Indicators Development in Function of Higher Education Quality Monitoring

Cited by 5 publications

References 12 publications

Building a measurement system of higher education performance: evidence from a Latin-American country

Building a measurement system of higher education performance: evidence from a Latin-American country

Quality Audit Indicators for Inbound Tourism: A Qualitative Study on Malaysian Travel Agencies

Estudio comparativo de los Sistemas de Control en el contexto estratégico de las Instituciones de Educación Superior en Iberoamérica

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