scholarly journals Scientometrics Analysis for Research Performance Evaluation: Methodological Issues at Meso and Micro Levels

2016 ◽  
Vol 17 ◽  
pp. 120-125
Author(s):  
Muzammil Tahira ◽  
Aryati Bakri ◽  
Kiran Kaur
Keyword(s):  
Performance Evaluation ◽  
Web Of Science ◽  
Empirical Studies ◽  
Research Performance ◽  
Lessons Learned ◽  
Methodological Issues ◽  
Engineering Research ◽  
Micro Level ◽  
Research Performance Evaluation

Newly introduced scientometric indices have gained much popularity and have been widely discussed. The application of such indices and their validity for Research Performance Evaluation (RPE) focuses on various contexts and aggregate levels. Several methodological concerns have been raised regarding the application of these indices for RPE purpose. This study aims at describing the methodological issues faced and lessons learned from the investigations carried out on engineering research data in Malaysia, using the scientometric approach at meso and micro levels. This scientometric case study employed a set of newly introduced RPE indices along with traditional metrics. The unit of analysis was Malaysian engineering research. At meso level, twelve Malaysian universities were selected. While, at the micro level, a hundred most productive Malaysian related researchers were chosen. The data were retrieved from Web of Science (WoS) for the duration of ten years (2001-2010) and limited to nine WoS engineering categories only. This study enlightens the issues and suggests the possible measures that should be taken into account while conducting the empirical studies by applying scientometric approach to RPE.

A Dream Project Turns Nightmare

2011 ◽  
pp. 98-111 ◽  
Author(s):  
Vital Roy ◽  
Benoit A. Aubert
Keyword(s):  
Strategic Alliance ◽  
Credit Unions ◽  
Development Project ◽  
Lessons Learned ◽  
Banking Business ◽  
Micro Level ◽  
Is Integration ◽  
Complex Project ◽  
Canadian Banking

It was in 1996 that Integra1, a large Canadian life insurance institution, launched its Banking and Loan Insurance Software System (BLISS) development project with the aim of gaining access to the loan insurance market in small Credit Unions (CUs) across Canada. The company was ready to provide the system free of charge to the Credit Unions on the provision that they commercialize exclusively Integras loan insurance products. To achieve this goal, Integra entered into a partnership with Intex Consulting, the Canadian subsidiary of a large international information system (IS) integration firm who wanted to gain a foothold in the Canadian banking business. After 1.3 million dollars of investment from each partner and twelve months of intensive efforts, the project came to an abrupt stop. The lessons learned in this case study include: (1) the importance of understanding requirements beyond micro-level user needs, (2) the need to get the enlightened involvement of each interested party in a large complex project, (3) the importance of appraising the specific contribution of each partner in a strategic alliance, and (4) the obstacles faced when entering an unfamiliar market with a new, unproven IS product.

scholarly journals Research Performance Evaluation in China: A Big Data Analysis

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401990125 ◽  
Author(s):  
Guangchao Charles Feng
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Research Funding ◽  
Research Performance ◽  
Big Data Analysis ◽  
Scientific Achievement ◽  
Research Practice ◽  
International Attention ◽  
Bibliometric Measures ◽  
Research Performance Evaluation

China’s scientific achievement has received considerable international attention due to a large amount of research and development (R&D) spending. This article aims to study the performance of China’s R&D expenditures (in the form of research funding) by examining the research performance of individual researchers based on bibliometric measures. This study concludes that research practice is not merely determined by capital possessed. Besides, international collaboration primarily accounts for research performance of scholars, whereas research funding and publishing in Chinese-based journals do not impact research performance significantly.

scholarly journals Performance Evaluation of Energy Research Projects Using DEA Super-Efficiency

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5318
Author(s):  
Sungsig Bang
Keyword(s):  
Performance Evaluation ◽  
Research Performance ◽  
Data Envelopment ◽  
Research Projects ◽  
Performance Score ◽  
Energy Research ◽  
Weighting Method ◽  
Super Efficiency ◽  
Ranking Information ◽  
Research Performance Evaluation

This study proposes super efficiency (SE) as an efficient analytical method for evaluating the performance of energy research projects. Because the SE method is based on data envelopment analysis (DEA), it is free from the difficulty of weighting output, allows for the use of variables with diverse standards of measurement, and is capable of providing ranking information that regular DEA (CCR, BCC) analysis techniques cannot. To analyze the feasibility of the DEA-SE method, an efficiency evaluation was performed for energy research projects using both the weighting method as an existing method and the SE method. When the results were compared and analyzed, skewing toward particular output types was observed in the weighting method, owing to problems inherent in the method itself and in the weighting of subordinate variables that make up the total performance score. Therefore, adopting DEA-SE will redress the known problems of the weighting method by minimizing the problems of weighting and skewing in outputs, enabling use of the input and output variables with diverse units and standards of measurement, and providing ranking information of research performance evaluation that is unobtainable with the existing DEA method.

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