Abstract
Improving the quality of research information systems is an important goal in the process of improving the performance of research management in Chinese universities. Since the evaluation of information system (IS) quality is a multicriteria decision problem, it is critical to identify the interrelationships among the dimensions and criteria, and decide on the important criteria for proposed improvement strategies. This paper suggests a hybrid multicriteria decision-making (MCDM) model for improving the quality of a research information system. First, a rough method combined with the decision-making trial and evaluation laboratory and analytical network process (rough DANP) model is used to improve the objectivity of expert judgements. Additionally, the rough DANP can be used to construct an influential network relationship map (INRM) between research information system components to derive the criterion weights. The complex proportional assessment of alternatives with rough numbers (COPRAS-R) is applied to evaluate the performance of the research information system. A Chinese university research information system is chosen to illustrate the usefulness of the proposed model. The results show that efficiency, effectiveness, and user frequency have the highest priorities for improvement. Selected management implications based on the actual case study are supplied.
Highlights
The increasing speed of scientific and technological achievements is crucial to improvements in innovation ability
Chen et al [21] evaluated the quality of a web-based learning system for nurses in a hospital and found that system quality, information quality, and service quality are the three dimensions used to measure the quality of a learning system
The results indicate that system quality is the most important reason for influencing intention to use, and information quality (C2 ) and service quality (C3 ) have a significant impact on intention to use (C4 )
Summary
The increasing speed of scientific and technological achievements is crucial to improvements in innovation ability. The university research platform is a major focus of a country’s innovation-driven development. As an important component of the national scientific research system, research in colleges and universities plays a highly important role in the development of science and technology and economic construction. Enterprises, universities, scientific research institutions, and other departments have established online scientific research information systems to offer a service platform for technology research and development. Slovenia has established a network of scientific research cooperation since 1960, and scientists are looking for partners through the network [1]. Through an analysis of scientists’ output data from information systems in Slovenia over the past 40 years, Perc found that researchers’ output is consistent with Zipf’s law and log-normal distributions [2]
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