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

Autor: Joachim Schöpfel, Otmane Azeroual, Gunter Saake, Mohammad Abuosba
Přispěvatelé: German Center for Higher Education Research and Science Studies (DZHW), Otto-von-Guericke-Universität Magdeburg, University of Applied Sciences [Berlin] (HTW), Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 (GERIICO ), Université de Lille, Otto-von-Guericke-Universität Magdeburg = Otto-von-Guericke University [Magdeburg] (OVGU)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Data cleansing
Information Systems and Management
user acceptance
Computer science
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
02 engineering and technology
050905 science studies
computer.software_genre
case study
Critical success factor
0202 electrical engineering
electronic engineering
information engineering

Research information
research information systems (RIS)
Statement (computer science)
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
05 social sciences
RIS implementation
Data science
lcsh:Z
Computer Science Applications
lcsh:Bibliography. Library science. Information resources
Data profiling
Work (electrical)
research information quality
system quality
Data quality
Data wrangling
020201 artificial intelligence & image processing
0509 other social sciences
computer
Information Systems
Zdroj: Data
Data, MDPI, 2020, 5 (2), pp.35. ⟨10.3390/data5020035⟩
Data, 2020, 5 (2), pp.35. ⟨10.3390/data5020035⟩
Volume 5
Issue 2
Data, Vol 5, Iss 35, p 35 (2020)
ISSN: 2306-5729
DOI: 10.3390/data5020035⟩
Popis: International audience; 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.
Databáze: OpenAIRE