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

Otmane Azeroual (1) , Gunter Saake (2) , Mohammad Abuosba (3) , Joachim Schöpfel (4)

1 DZHW - German Center for Higher Education Research and Science Studies
2 OVGU - Otto-von-Guericke-Universität Magdeburg = Otto-von-Guericke University [Magdeburg]
3 HTW - University of Applied Sciences [Berlin]
4 GERIICO - Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073

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.

Mots clés: research information systems (RIS); RIS implementation; system quality; research information quality; user acceptance; case study

Domaines: Sciences de l'information et de la communication; Base de données [cs.DB]

Otmane Azeroual, Gunter Saake, Mohammad Abuosba, Joachim Schöpfel. Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems. Data, 2020, 5 (2), pp.35. ⟨10.3390/data5020035⟩. ⟨hal-02533607⟩