Root cause analysis in quality problem solving of research information systems: a case study
Mohammad Javad Ershadi,
Roozbeh Aiasi and
Shirin Kazemi
International Journal of Productivity and Quality Management, 2018, vol. 24, issue 2, 284-299
Abstract:
Nowadays the information systems have become a key part of any organisation. On the one hand these systems are considered as basis of management decisions and on the other hand they serve the within or outside of organisation's users and clients as well. Therefore good performances of these systems could become one of the main objectives of senior managers in any organisation. Research information systems (RIS) are not exceptional on these norms either and in order to continually improve these systems their quality aspects should be analysed and improved to achieve better performances. In this paper, application of root cause analysis in RIS using a case study for solving quality problems is considered. This approach is used in three main stages of RIS means data entry, indexing and dissemination of information. Results of this paper show that through application of root cause analysis identifying, categorising and defining appropriate corrective action for quality problems of RIS could be easily achieved. Furthermore, main results of application of this approach are presented.
Keywords: root cause analysis; RCA; research information systems; RIS; quality problem; case study. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=91797 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:24:y:2018:i:2:p:284-299
Access Statistics for this article
More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().