Deepening the Effects of the Academic Inbreeding: Its Impact on Individual and Institutional Research Productivity

Author(s):  
Engin Karadag ◽  
S. Koza Ciftci
1988 ◽  
Vol 31 (3) ◽  
pp. 707-720
Author(s):  
Michael J. Stahl ◽  
Terry L. Leap ◽  
Zhu Z. Wei

2020 ◽  
Vol 40 (01) ◽  
pp. 406-417
Author(s):  
Jiban K. Pal ◽  
Soumitra Sarkar

The quantification of scholarly performance has become an obvious necessity in many academic pursuits. Evaluation of research output is therefore an integral element of R&D institutions worldwide. However the quality- weighted dimensions of quantity are gaining momentum. Consequently, a good number of evaluative studies on publication productivity have been made available in scientometric literature. This paper critically scrutinises the literature on research productivity concerning scientific institutions (include universities and departments) in an informational context. It provides a thorough review to map the quantum of knowledge relating to ‘institutional research productivity’ correlating the Indian vista. It is, however, indicative to find the gaps and shortcomings in this specialty of research; hence enunciate the issues both attended and unattended. The paper also offers a few recommendations to undertake evaluative studies with caution. Thus it shows a coherent picture of this emerging area in the sociology of science.


1994 ◽  
Vol 23 (2) ◽  
pp. 194-199 ◽  
Author(s):  
Henry W. Kinnucan ◽  
Greg Traxler

AJAE per capita page counts provide one measure of an institution's research strength. In this article we refine Willis et al.'s measure of department size and, based on the refined measure, recompute departmental rankings for North American institutions. Results indicate that Northeastern United States departments are more widely represented among the top 20 institutions than 20 years ago and that two Canadian institutions—Guelph and British Columbia—rank in the top 12. The median AJAE publication frequency for the top 30 research institutions is about one article per research faculty member every 12 years. The AJAE page-count measure was found to be highly correlated (R2 = 0.82) with citation counts, whether narrowly or broadly defined. Thus, AJAE page counts appear to provide a simple yet valid representation of institutional research productivity.


Author(s):  
Shirley D. Dangan

Research productivity is the topmost concern of most universities. Based on the survey conducted, only few of the faculty at Palawan State University had published research in the last six years. This study aimed to identify the predictors of research productivity to provide administrators with research-based information that will serve as the basis in the formulation of institutional research policies that will help increase research productivity. The researcher used descriptive research design and involved the 277 faculty and 12 administrative officials of Palawan State University, Puerto Princesa City, Philippines as respondents. Triangulated data gathering techniques which include questionnaire, interview and focus group discussion validated by a panel of experts were used. A parametric test such as multiple regression was used in the statistical analysis of data. This study revealed that gender, rank, and number of teaching hours predicted research productivity. Interviews and focus group discussions disclosed that some of the faculties were self-motivated to do research while others were motivated by points for promotion and load reduction. The university must organize research training and mentoring on the research process; give remuneration; reduce the workload of faculty who conducts research; enhance faculty’s self-motivation to do research and set guidelines for promotion of outstanding researchers. KEYWORDS - Education, predictors of research productivity, HEIs, descriptive design, PhilippinesResearch productivity is the topmost concern of most universities. Based on the survey conducted, only few of the faculty at Palawan State University had published research in the last six years. This study aimed to identify the predictors of research productivity to provide administrators with research-based information that will serve as the basis in the formulation of institutional research policies that will help increase research productivity. The researcher used descriptive research design and involved the 277 faculty and 12 administrative officials of Palawan State University, Puerto Princesa City, Philippines as respondents. Triangulated data gathering techniques which include questionnaire, interview and focus group discussion validated by a panel of experts were used. A parametric test such as multiple regression was used in the statistical analysis of data. This study revealed that gender, rank, and number of teaching hours predicted research productivity. Interviews and focus group discussions disclosed that some of the faculties were self-motivated to do research while others were motivated by points for promotion and load reduction. The university must organize research training and mentoring on the research process; give remuneration; reduce the workload of faculty who conducts research; enhance faculty’s self-motivation to do research and set guidelines for promotion of outstanding researchers. KEYWORDS - Education, predictors of research productivity, HEIs, descriptive design, Philippines


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