Search results

This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy.

The quantitative approach was used through a survey method that obtained samples using questionnaires from 150 leaders of research institutions and continued analysis using the structural equation modeling-partial least square (SEM-PLS) to test the developed model.

Except for the relationship between process and productivity variables, all variable relationships had a positive and significant effect. Furthermore, the input, process, output, productivity and outcome variables each include seven, twelve, four and ten indicators.

This study has several ramifications because it provides a clear policy input and advances science. As a prelude to developing research performance assessment tools that take into account variances in a tertiary institution, this research aids in the implementation of national policies for assessing research performance in postsecondary institutions.

To improve the accuracy of the information acquired, we conducted a survey among the heads of research units at various higher-ranking Indonesian universities, taking into consideration their skill and experience in leading research organizations and conducting research. Other than that, our belief in the originality of our manuscript is strengthened by the way we applied systems theory to construct a performance evaluation model that examines each contribution made by each system aspect.

This paper aims to find the incidence of university sustainability, as sustainability practices, in university performance at private universities.

Quantitative research using structural equation modelling. Data collection and analysis followed sustainability and performance scales from previous research. The scales were validated by surveying students, teachers and administrative staff of five private universities in Medellin, Colombia. The responses (i.e. 5,344 useful answers) were collected between April 2019 and December 2020 and analysed using the Smart partial least square (PLS) software and the PLS calculation methodology.

The results confirmed the reliability and validity of the sustainability and performance university measurement models and validated the dimensions proposed to determine sustainability and performance holistically in private universities. The results confirmed that universities implementing sustainability holistically in their system positively impact their performance as higher education institutions. The university sustainability is forecasting the University Performance in about 60% of the universities analysed, with a considerable contribution from sustainability in outreach and strategic management.

This study was cross-sectional and empirically validated the model of sustainability and performance at five private universities in a single period and territory. A broader validation from longitudinal studies considering other universities in Colombia and Latin America is suggested to understand local and regional trends better.

Results provided a model for better understanding the incidence of sustainability in performance holistically at private universities in developing countries such as Colombia. In addition, the proposed dimensions and model could help regional decision-making on higher education.

To the best of the authors’ knowledge, this paper is one of the first attempts relating a structural equation model and inter-university research on the incidence of sustainability in private university performance. This work contributes to a local consensus on sustainability and performance models at private universities. Furthermore, from this research emerged a joint policy framework for incorporating sustainability holistically and regionally as an effective strategy for universities and their commitment to sustainable development.

One in every four graduates of the world will be the product of Indian higher education system by the year 2030 as per a report issued by the FICCI (Federation of Indian Chambers of Commerce and Industry) in 2015. This brings out the growing significance of higher education sector and purpose of the study. The present study tries to explore the relationship between intellectual capital of universities and their performance.

Structural equation modeling (SEM) was applied on the dataset of 590 respondents, and the suggested model reiterate that human capital, organizational capital and relational capital have a significant influence on a university's performance.

Human capital, organizational capital and relational capital have a significant influence on a university's performance. The study strongly recommends that factors like research facilitation, quality of work life, knowledge sharing, industry academia relationship and information disclosure have a strong influence on performance.

Not just India, but policymakers across Brazil, Russia, India, China and South Africa (BRICS) can strategize around intellectual capital to give a push to the fast-growing higher education sector.

How does university-firm collaboration affect the performance of both universities and firms? The purpose of this paper is to evaluate university-firm collaborations aimed at expanding the treatment effects of collaboration ambition on university academic performance as well as collaboration ambition focused on the firm’s production of innovation and financial performance for the top 110 US universities and the top 200 US R&D performing firms.

“Two studies, based on the three archival data sets (National Bureau of Economic Research-Rensselaer Scientific Papers Database and the Harvard Dataverse Network (DVN) US Patent Citations database and Compustat database), are undertaken in the top 110 US universities and the top 200 US R&D performing firms.” The study introduces a theoretical model that explicitly addresses collaboration diversity, number of collaborations, knowledge stock and the endogeneity problem that is generated by self-selection of collaboration ambition in university and firm’s performance.

The results suggest that the effects of adopting proactive collaboration decision on academic performance are insignificant in the firm subsample. However, more interestingly, the authors find supporting evidence of the negative impact of collaboration on university groups. The authors also find that collaboration diversity, knowledge stock and collaboration ambition lead to stronger firm performance but the number of collaborations is smaller on firm performance. Furthermore, the authors find that collaboration ambition moderates the positive effect of the number of collaborations on firm performance.

University-firm collaboration is a multifaceted relationship, suggesting that the empirical analysis can be interpreted through the university and the firm view to enhance the understanding of the collaboration for performance creation. This study articulates the positive role of collaboration diversity, knowledge stock and collaboration ambition and the negative role of the number of collaborations on university-firm collaboration in terms of university and firm performance. Moreover, proactive collaboration ambition has the positive effect of a higher number of collaborations on firm performance. The authors conclude that policy should refrain from overly focusing on collaboration diversity, number of collaborations, knowledge stock and collaboration ambition, and the authors consider the interactions between the number of collaborations and collaboration ambition on university-firm collaboration when discussing their effects on mutual performance.

This study demonstrates the effects of university-firm collaboration on academic performance. In addition, the authors discuss the factors that influence collaboration to help the firm to increase its innovation and financial performance. Therefore, it would be interesting to see simultaneously how university-firm collaboration affects the performance of both partners.

The purpose of this paper is to formulate a model for developing, implementing and evaluating performance management systems in Jordan public universities that will ensure the successful achievement of their set goals in the competitive dynamic environment.

This is a conceptual paper that focuses on the model for developing, implementing and evaluating performance management systems by public universities in developing countries.

As the focus is on a conceptual model for performance management systems in public universities in developing country, it is yet to be empirically tested.

The conceptual model is limited to developing, implementing and evaluating performance management systems by public universities in developing countries.

The implementation and evaluation of performance management systems by public universities in Jordan and developing countries will ensure successful achievement of their set goals in the competitive dynamic environment.

The originality of the paper lies in its methodology. In this paper, an innovative conceptual model is proposed for developing, implementing and evaluating performance management systems by public universities in developing countries.

The application of fuzzy multiple attribute decision making (FMADM) approach in evaluation of organizations has grown recently, and it is combined with knowledge‐based university evaluation parameters in this study. The paper seeks to propose a FMADM approach for measuring university performance on the four knowledge‐based perspectives of a balanced scorecard.

The approach first summarizes the evaluation indexes extracted from the university performance literature. Then, the relative weights of the chosen evaluation indexes are calculated using the fuzzy analytic hierarchy process (FAHP). The fuzzy sets theory was adapted to university performance analysis.

The results reveal the critical aspects of the evaluation criteria as well as the gaps to improve university performance in order to achieve the aspired/desired level.

The paper reveals the key issues in the existing performance evaluation method, especially in the university context.

This research analyses the performance of a university based on the knowledge‐based indexes in the four BSC perspectives, using a FME‐MADM approach. It considers specific knowledge‐based metrics for each perspective.

Although implementation of the performance measures in universities are now widespread, there is no considerable literature that sufficiently addresses the various issues faced by organizations during university implementation. The paper proposes application of the balanced knowledge‐based scorecard to universities aiming at evaluating performance annually.

The purpose of this paper is to explore the relationship between intellectual capital (IC) and performance of public universities in emerging countries in order to identify patterns and provide recommendations that may turn the universities’ IC into development opportunities, in terms of research, innovation, and education.

The analysis targeted the whole population of the public universities in the Republic of Colombia. A cluster analysis, based on five performance variables, has been conducted. Then, the IC of the universities pertaining to the three resulting clusters has been compared. Subsequently, for each performance variable, the IC of above-average and below-average universities has been benchmarked.

The results of this study show how different aspects of IC are associated with University performance. Among the many, the authors found that universities should achieve a critical mass to obtain outstanding research and innovation results. The findings also identify the particular importance of both students and scholars’ international mobility programs for most of the performance variables.

This study provides a baseline for the assessment of the impact on society of the IC available in the universities of emerging countries. The application may serve as a guide in the choice of public policies, dedicated to the strengthening of the universities’ IC in order to improve their performance.

This paper proposes an innovative model to analyze the relationship between IC and university performance in emerging countries. The model identifies the association between the IC accrued in the universities and their capability of transferring it to the society under the form of science, innovation, and education.

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.

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.

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.

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.

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.

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.

Different mechanisms allow intellectual capital (IC) to affect performance. This paper aims to analyze the value of relations for the academic performance effect of IC and explore how the university’s reliance on digital technologies facilitates the contribution of IC to the overall academic performance.

The authors develop a model linking elements of IC to academic performance in the form of teaching, research and entrepreneurial activity. The model is centered on relational capital (RC) that is supposed to directly fuel performance and mediate the link between the other two IC dimensions and performance. From a methodological point of view, the authors base the empirical investigation on a sample of Italian public universities and applied structural equation modeling to test the mediation and a group comparison to disentangle the effect of universities’ digitalization.

The authors find a significant and positive effect of RC on performance. RC fully mediates the relationship between structural capital and academic performance, whereas it only partially mediates the link between human capital and academic performance. The authors also suggest that digital technologies guide the prominence of the relationship in the university’s ability to fulfill teaching, research and entrepreneurship missions through IC.

This study offers a representation of how the relational dimension of IC is the mean through which the stock of knowledge inside IC can be translated into entrepreneurial, education and research achievements and how digital technologies are essential for the exploitation of the performance effect of IC in the digital era.

A university of medical sciences (UMS) is governed by a board that serves analogously as a board of trustees or a governing board in the western countries. In Iran, however, such boards operate under the broad leadership of the Ministry of Health and Medical Education (MoHME) but still wield enormous power over their universities. Given the influence boards have in the affairs of an UMS, the question remains how the medical university board can be improved so as to improve the overall effectiveness of these institutions. The purpose of this article is a response to this question by focusing on criteria necessary for reviewing board performance.

Using a qualitative approach, the study solicited data from 37 key informants that were purposefully chosen from 52 medical science universities across Iran. Semi-structured face-to-face and phone interviews as well as a review of relevant document were the main means of the data gathering. We performed the framework analysis using software ATLAS-ti (version 5).

The analysis identified 32 overlapping indicators that must be considered in a board performance. These indicators were reclassified and summarized into six categories, including trustees, trustees' leadership, board structure, board process, board output (short-length results) and board outcomes (long-length results).

Our study findings confirmed the role of the context and its relationship with the effective board performance. Here, the governing arrangement of all institutions including UMS is shadowed by the social, economic, cultural, political and technological status of the country. So, special attention is recommended to identify what should be considered to evaluate the performance of the board given the context.