Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems

Otmane Azeroual, Gunter Saake, Mohammad Abuosba and Joachim Schöpfel
Additional contact information
Otmane Azeroual: German Center for Higher Education Research and Science Studies (DZHW), Schützenstraße 6A, 10117 Berlin, Germany
Gunter Saake: Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany
Mohammad Abuosba: University of Applied Sciences HTW Berlin, Wilhelminenhofstraße 75 A, 12459 Berlin, Germany
Joachim Schöpfel: GERiiCO-Labor, University of Lille, 59650 Villeneuve-d’Ascq, France

Data, 2020, vol. 5, issue 2, 1-13

Abstract: In our present paper, the influence of data quality on the success of the user acceptance of research information systems (RIS) is investigated and determined. Until today, only a little research has been done on this topic and no studies have been carried out. So far, just the importance of data quality in RIS, the investigation of its dimensions and techniques for measuring, improving, and increasing data quality in RIS (such as data profiling, data cleansing, data wrangling, and text data mining) has been focused. With this work, we try to derive an answer to the question of the impact of data quality on the success of RIS user acceptance. An acceptance of RIS users is achieved when the research institutions decide to replace the RIS and replace it with a new one. The result is a statement about the extent to which data quality influences the success of users’ acceptance of RIS.

Keywords: research information systems (RIS); RIS implementation; research information quality; system quality; user acceptance; case study (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2306-5729/5/2/35/pdf (application/pdf)
https://www.mdpi.com/2306-5729/5/2/35/ (text/html)

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:gam:jdataj:v:5:y:2020:i:2:p:35-:d:341931

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().