Determinants of research efficiency in Canadian business schools: evidence from scholar-level data
- PDF / 1,059,989 Bytes
- 47 Pages / 439.37 x 666.142 pts Page_size
- 89 Downloads / 138 Views
Determinants of research efficiency in Canadian business schools: evidence from scholar‑level data Mehdi Rhaiem1 · Nabil Amara2 Received: 21 August 2019 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract Using a large sample of faculty members of Canadian business schools, this article attempts to shed new light on the efficiency of academic research as measured, at the researcher’s level, by the peer-reviewed article counts and citations. Metrics on outputs from the Web of Science and from the Google Scholar databases, augmented by a survey data on factors explaining the productivity and impact performances of these faculty members, are used to assess their academic research efficiency and to perform an empirical investigation of the determinants of researchers’ efficiency, using the two-stage Bootstrap DEA approach. Results reveal that there is substantial room for improvements of technical efficiency, both across the eight fields considered in this study, and within each field. The analyses also enabled to identify determinants that might explain the academic efficiency gap between scholars across the eight research fields considered in this study, notably certification from independent agencies, seniority, sources of funding, affiliation to a business school with a doctoral program, and prestige and reputation of university of affiliation. Keywords Data envelopment analysis · Double bootstrap · Truncated regression · Academic research efficiency · Business scholars
Introduction In the last decades, the use of bibliometric indicators for the assessment of performance of higher education has become an integral component of the academic landscape. These indicators are important for both the individual researchers and research institutions. They are widely used to compare the performance of researchers, journals, and universities (Harzing and Alakangas 2016; Van der Stocken et al. 2016). Many of the appointments, promotion, * Mehdi Rhaiem [email protected] Nabil Amara [email protected] 1
Department of Mathematical and Industrial Engineering, Polytechnique Montréal, 2900 Boulevard Edouard‑Montpetit, Montreal, QC H3T 1J4, Canada
2
Faculty of Business, Department of management, Université Laval, 2325 Rue de la Terrasse, Québec, QC G1V 0A6, Canada
13
Vol.:(0123456789)
Scientometrics
allocation of research funds, and rankings of universities or departments use these indicators (Macilwain 2013; Wilsdon 2015). In this sense, they have been so useful that, for example in the USA, the STAR METRICS program, announced by the Office of Science and Technology Policy (OSTP) in 2010, includes a wider array of impact metrics such as publications, citations, and patents (Weinberg et al. 2014). In the UK, since 1986, a Research Assessment Exercise (RAE), that attaches great importance to the quantity and quality of research outputs, is conducted periodically to evaluate the research activities in British universities (Harley 2002; Moore et al. 2002). Likewise, many other countries such as Italy, Norway, B
Data Loading...
