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Unlike competitive higher education systems, non-competitive systems show relatively uniform distributions of top researchers and low performers among universities. In this study, we examine the impact of unproductive and top faculty members on overall research performance of the university they belong to. Furthermore, we analyze the potential relationship between research productivity of a university and the indexes of concentration of unproductive and top researchers. Research performance is evaluated using a bibliometric approach, through publications indexed on the Web of Science between 2004 and 2008. The set analyzed consists of all Italian universities active in the hard sciences. 相似文献
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The evaluation of performance at the individual level is of fundamental importance in informing management decisions. The literature provides various indicators and types of measures, however a problem that is still unresolved and little addressed is how to compare the performance of researchers working in different fields (apples to oranges). In this work we propose a solution, testing various scaling factors for the distributions of research productivity in 174 scientific fields. The analysis is based on the observation of scientific production by all Italian university researchers active in the hard sciences over the period 2004–2008, as indexed by the Web of Science. The most effective scaling factor is the average of the productivity distribution of researchers with productivity above zero. 相似文献
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Giovanni?AbramoEmail author Tindaro?Cicero Ciriaco?Andrea?D’Angelo 《Higher Education》2012,63(6):701-717
The potential occurrence of variable returns to size in research activity is a factor to be considered in choices about the
size of research organizations and also in the planning of national research assessment exercises, so as to avoid favoring
those organizations that would benefit from such occurrence. The aim of the current work is to improve on weaknesses in past
inquiries concerning returns to size through application of a research productivity measurement methodology that is more accurate
and robust. The method involves field-standardized measurements that are free of the typical distortions of aggregate measurement
by discipline or organization. The analysis is conducted for 183 hard science fields in all 77 Italian universities (time
period 2004–2008) and allows detection of potential differences by field. 相似文献
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One of the critical issues in bibliometric research assessments is the time required to achieve maturity in citations. Citation counts can be considered a reliable proxy of the real impact of a work only if they are observed after sufficient time has passed from publication date. In the present work the authors investigate the effect of varying the time of citation observation on accuracy of productivity rankings for research institutions. Research productivity measures are calculated for all Italian universities active in the hard sciences in the 2001–2003 period, by individual field and discipline, with the time of the citation observation varying from 2004 to 2008. The objective is to support policy-makers in choosing a citation window that optimizes the tradeoff between accuracy of rankings and timeliness of the exercise. 相似文献
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In this work we investigate the sensitivity of individual researchers’ productivity rankings to the time of citation observation. The analysis is based on observation of research products for the 2001–2003 triennium for all research staff of Italian universities in the hard sciences, with the year of citation observation varying from 2004 to 2008. The 2008 rankings list is assumed the most accurate, as citations have had the longest time to accumulate and thus represent the best possible proxy of impact. By comparing the rankings lists from each year against the 2008 benchmark we provide policy-makers and research organization managers a measure of trade-off between timeliness of evaluation execution and accuracy of performance rankings. The results show that with variation in the evaluation citation window there are variable rates of inaccuracy across the disciplines of researchers. The inaccuracy results negligible for Physics, Biology and Medicine. 相似文献
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Because of the variations in citation behavior across research fields, appropriate standardization must be applied as part of any bibliometric analysis of the productivity of individual scientists and research organizations. Such standardization involves scaling by some factor that characterizes the distribution of the citations of articles from the same year and subject category. In this work we conduct an analysis of the sensitivity of researchers’ productivity rankings to the scaling factor chosen to standardize their citations. To do this we first prepare the productivity rankings for all researchers (more than 30,000) operating in the hard sciences in Italy, over the period 2004–2008. We then measure the shifts in rankings caused by adopting scaling factors other than the particular factor that seems more effective for comparing the impact of publications in different fields: the citation average of the distribution of cited-only publications. 相似文献
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The aim of the study is to examine motivations for practicing physical activity on holiday. In particular, the objective is to compare home habits to holiday experiences and identify differences and commonalities in individuals’ attitude towards physical activity. The methodological approach is to conduct a survey among tourists during a holiday stay by employing a self-administered questionnaire. Findings identify three motivational factors (Decompress, Performance and Shape) and a cluster analysis reveals the coexistence of four different profiles of physical activity performers (Shapers, All-around Pursuers, Sport Performers and Decompress Seekers). Results show diffuse distinctiveness of motivations for practicing physical activity on holiday compared to the motivations for practicing it at home. Specifically, Decompress motives increase and Shape motives decrease. The study contributes to deepen the knowledge on consumer behaviour in leisure and holiday and provides useful insights to destination managers and policy-maker to address the sport tourism market. 相似文献
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Higher education systems in competitive environments generally present top universities, that are able to attract top scientists, top students and public and private financing, with notable socio-economic benefits in their region. The same does not hold true for non-competitive systems. In this study we will measure the dispersion of research performance within and between universities in the Italian university system, typically non-competitive. We will also investigate the level of correlation that occurs between performance in research and its dispersion in universities. The findings may represent a first benchmark for similar studies in other nations. Furthermore, they lead to policy indications, questioning the effectiveness of selective funding of universities based on national research assessment exercises. The field of observation is composed of all Italian universities active in the hard sciences. Research performance will be evaluated using a bibliometric approach, through publications indexed in the Web of Science between 2004 and 2008. 相似文献
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Over the past decade, national research evaluation exercises, traditionally conducted using the peer review method, have begun opening to bibliometric indicators. The citations received by a publication are assumed as proxy for its quality, but they require standardization prior to use in comparative evaluation of organizations or individual scientists: the citation data must be standardized, due to the varying citation behavior across research fields. The objective of this paper is to compare the effectiveness of the different methods of normalizing citations, in order to provide useful indications to research assessment practitioners. Simulating a typical national research assessment exercise, he analysis is conducted for all subject categories in the hard sciences and is based on the Thomson Reuters Science Citation Index-Expanded®. Comparisons show that the citations average is the most effective scaling parameter, when the average is based only on the publications actually cited. 相似文献
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