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This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.

The outcomes of public research institutions (PRIs), also known as research and development (R&D) institutions, in developing countries, including Indonesia, are still dubious. This study aims to measure the efficiency of R&D institutions using the case of the Indonesian Institute of Sciences, with and without an assessment of the role of scientific publication.

A panel data envelopment analysis (DEA) model is used to estimate the research efficiency of Indonesian R&D institutions during the period 2016–2019 based on the relationship between intellectual property (IP), research budgets and number of active researchers. The Tobit model is subsequently applied to analyze the factors that affect efficiency.

The DEA analysis shows an average efficiency value of 0.361, implying that 42% of the decision-making units (DMUs) have above-average efficiency scores. When scientific publication is added as an output variable, the efficiency increases to an average of 0.545, resulting in 53% of the DMUs with above-average efficiency.

The main implication is that scientific publications can increase the output of R&D institutions in Indonesia. This study recommends strengthening the research group establishment led by research professors along with setting acceptable high output targets. Researcher competence must be improved together with support for research collaboration among the different fields of science. Scientific publications should be considered part of IP measurement along with the type of mandate of each PRI.

This study offers a method of evaluation of research efficiency that can be applied to institutions outside Indonesia, thus furthering the dialogue on science and technology policy management.

This paper contributes to the literature by using a new and comprehensive method to measure research output – that of IP measurement, including new scientific publication. The implications provide action points for the governments to support R&D institutions and for research practitioners to augment research output.

This paper aims to investigate the current status of research output published in open access (OA) journals from Brazil, Russia, India, China and South Africa (BRICS) countries from 2010 to 2019 and compare their performances in terms of OA research output.

Papers contributed by the researchers of BRICS countries were searched using an advanced search option in the Web of Science core collection database. The retrieved results were restricted to the “journal articles” published in the “English language” during the time period of 2010 to 2019. After that, the selected papers were again refined by using the “open access” section to identify the research output of BRICS countries published in OA journals.

Total 2,219,943 papers were published from BRICS countries, out of which 402,199 articles were published in OA journals and South Africa has published the highest number of research output in OA journals (31%). Although, there has been a constant increasing growth of research output published in OA journals in BRICS countries from 13,300 papers in 2010 to 82,310 articles in 2019. Engineering and Technology have published the maximum number of papers in OA journals. Researchers of BRICS countries mostly contributed their OA research output in journals published from the USA and Scientific Reports (UK) is identified as one of the leading OA journals. Additionally, among all the BRICS countries, China is found as the promising leader in terms of OA journals publications, the maximum share i.e. 71.25 per cent of total 402,199 OA journal publications have been produced by the highest number 137 (23.41%) of institutions of China and Chinese Academy of Sciences (China) is leading institution with 39,036 papers published in OA journals.

This study is limited to BRICS countries, but it offers theoretical implications for extending its scope to different countries. This study may be used for raising awareness of OA among researchers of BRICS countries and encouraging them to contribute their research work in OA journals. The findings of this study are useful and meaningful in understanding the comparative status of research across countries, disciplines, journals and institutions.

This is the first study in BRICS countries focusing on the research output published in OA journals.

The purpose of this paper is to examine the profiles of Australian, New Zealand and South African accounting faculty members. Additionally, the study investigates whether there are any differences in research productivity of the accounting faculty between countries as measured by peer-reviewed academic journal output.

This archival study uses details obtained from webpages of Departments of Accounting in the three countries to construct a profile of accounting academics.

Significant differences in the profiles of accounting academics were found that can be attributed to the institutional factors that exist in each country. Staffs at the junior lecturer and lecturer levels are more likely to be female, while senior lecturers and professors in all three countries were more likely to be male. While Australia and New Zealand had a similar percentage of staff holding PhD or equivalent academic qualifications, only a small proportion of the South African faculty held PhD or equivalent qualifications. A greater proportion of the South African faculty was professionally qualified compared to their Australian and New Zealand counterparts. New Zealand accounting faculty was more productive than their Australian colleagues, with South African academics being the least productive. Academics holding a doctoral qualification or equivalent were more productive than those that did not.

The research limitations relate to the use of websites as the primary data source. Incompleteness of information, inconsistencies in the type of information presented and a lack of comparability of information across institutions and countries may have led to some errors and omissions. However, given the relatively large sample size of 2,049 academics, this was not deemed to materially affect the final analysis.

The paper provides an important contribution to the literature on accounting academics. It is the first of its kind to present a comprehensive “snapshot” of the profiles of accounting academics at the universities in Australia, New Zealand and South Africa.

This paper aims to identify the strengths of the universities based on the research area which are prioritized by the Government of Indonesia in the National Medium Term Development Plan 2015–2019, in the research areas of food and agriculture; energy, new and renewable energy; health and medicine; transportation; telecommunication, information and communication; defense and security technologies and advanced materials.

The mapping of the research strength in Indonesian universities is performed by using data of the university research output in the Information System for Research and Community Service, Ministry of Research, Technology and Higher Education and categorized into seven categories, i.e. accredited national journals, international journals indexed by Scopus or others, Intellectual Property ownership, textbooks, prototypes and an appropriate technology. Based on the data obtained from Information System for Research and Community Service, there are 904 universities in Indonesia conducting research activities and generating 14,188 research outputs.

This paper analyzes 3 of the 9 National Research Priorities, namely, food, energy and health and medicine. The data show that there are 904 universities in Indonesia conducting research activities and producing 14,188 research results. The research strength index based on National Research Priorities shows that three universities have the highest cluster strength index. Gadjah Mada with an index value of 4.95 is the highest index in the food cluster. In the energy cluster of the Institut Teknologi Bandung with the highest index value of 0.63. Meanwhile, the Universitas Indonesia reached 2.06 as the highest index value in the health and medicine cluster.

Measurement of the strength of the study was conducted using data from research results from universities in 2016 which were recorded in the Information System for Research and Community Service. The University’s R&D strength is calculated from seven categories of research results: accredited national journals, international journals indexed by Scopus or others, intellectual property rights, textbooks, prototypes and appropriate technology products.

The purpose of this paper is to investigate the correlation between university libraries and academic research achievement and analyze if university library resources correlate with academic research achievement.

The paper seeks to verify the correlation between university libraries and academic research achievement and to examine which university library resources relate to research achievement. A variety of research questions were posed concerning the relationship between a university's library resources and academic research achievement. Structural equation models (SEMs) were developed to answer the research questions. Most research questions posed were affirmatively answered using the SEM process.

This study confirmed that labor and budget, investment in e‐resources and an investment in university libraries enhances academic research achievement.

An SEM for verifying the correlation between university libraries and academic research achievement was developed in the study.

This study is the first including an investment factor in e‐resources for verifying the correlation between university libraries and academic research achievement.

Construction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes.

An interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted.

It is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling.

This study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.

This paper aims to determine and analyze the rate of content submission by lecturers in relation to type of university, discipline, academic qualification, rank and teaching experience and identified the determinants of research output submission by faculty members in Nigerian varsities.

The survey was conducted in six universities with functional institutional repositories in Southern Nigeria. Data collated through questionnaire from the university lecturers were analyzed using frequency distribution, percentages and regression analysis.

Results showed that submission of research output was higher for lecturers in Social Sciences than for those in the Sciences; the highest among those with doctorate degree, senior lecturers and those with 6–10 years of teaching experience. The rank of faculty members and the type of university were significant determinants of research output submission.

The survey was limited to universities in Southern Nigeria with functional institutional repositories. There should be further investigations on same study in universities with functional institutional repositories in other regions in Nigeria.

Increased submission rate by faculty members will sustain the institutional repositories.

Faculty members get in contact, make friends and engage in collaborative research.

This report contributes to the global knowledge and communication’s field through the provision of empirical evidence on the determinants of content submission in open access institutional repositories.

This paper intends to explore the measure for aligning the goals of researchers toward achieving organizational R&D targets. The paper also explores the significance and ordering of R&D outputs and the factors that influence generation of R&D outputs, from the perspective of researchers working in the Indian public sector organizations.

Data were collected in five Indian R&D laboratories, and weighted average method Spearman correlation coefficient and rank regression were utilized for the analysis.

The findings indicated that various groups of researchers prefer to target different R&D outputs and not all the factors are considered as equally significant in influencing the generation of R&D outputs. Further, the R&D organization should include preferred real factors while policy making for achieving collaborative efforts toward fulfilling organizational objectives. The set of selected R&D outputs and influencing factors were also ordered according to the average rankings given by the researchers.

The findings can help R&D managers to identify the expectations of the researchers and include their preferences in R&D Planning. The study could be extended to a larger dataset of researchers working in other government as well as private R&D organizations.

Hardly any studies were found that explored the preferences of researchers with respect to R&D outputs and influencing factors with respect to the Indian public sector R&D laboratories.

This study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and qualitative metrics in terms of research output toward exploring research trends and give an overview of collaborative practices by researchers of NIPERs.

The present study has selected the Scopus database as a tool to retrieve potential publications of studied NIPERs during the last 12 years (2010–2021). NIPER-Mohali, NIPER-Hyderabad, NIPER-Ahmedabad, NIPER-Guwahati and NIPER-Kolkata have been selected for the study. The study has adopted a comprehensive search strategy to extract 3,926 publications data. VOS viewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization.

The global scientific research output of NIPERs accrued 3,926 publications with an average of 327 publications per year. The retrieved publications fetched a total of 67,772 citations with an average citation impact of 17.26. There observed a steady growth of publications from 168 to 509 registered with an average growth rate of 18.44%. The mean relative growth rate and doubling time of research output are 0.26 and 2.94. The authorship patterns explore collaborative trends as most of the publications were published by multiple authors (99.39%). NIPERs have expanded their outreach to collaborate with the USA, Malaysia, Saudi Arabia, Australia and the UK to collaborate on research and regulatory reforms exhibits in the USA as a major contributor.

The present study is the first effort to evaluate the global research productivity of NIPERs and assess the current research trends on a set of quantitative and qualitative metrics to provide some insights into the complex dynamics of research productivity. The study’s outcome may help to identify the current research progress of NIPERs at the global level.