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

Author

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  • Otmane Azeroual

    (German Center for Higher Education Research and Science Studies (DZHW), Schützenstraße 6A, 10117 Berlin, Germany
    Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany
    University of Applied Sciences HTW Berlin, Wilhelminenhofstraße 75 A, 12459 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)

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.

Suggested Citation

  • Otmane Azeroual & Gunter Saake & Mohammad Abuosba & Joachim Schöpfel, 2020. "Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems," Data, MDPI, vol. 5(2), pages 1-13, April.
    • Handle: RePEc:gam:jdataj:v:5:y:2020:i:2:p:35-:d:341931
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    References listed on IDEAS

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    1. Azeroual, Otmane & Saake, Gunter & Schallehn, Eike, 2018. "Analyzing data quality issues in research information systems via data profiling," International Journal of Information Management, Elsevier, vol. 41(C), pages 50-56.
    2. Otmane Azeroual & Gunter Saake & Jürgen Wastl, 2018. "Data measurement in research information systems: metrics for the evaluation of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1271-1290, June.
    3. Otmane Azeroual & Joachim Schöpfel, 2019. "Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries," Publications, MDPI, vol. 7(1), pages 1-18, February.
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    Cited by:

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