The challenges of strategic data planning in practice: an interpretive case study
In: The journal of strategic information systems, Band 6, Heft 1, S. 69-90
ISSN: 1873-1198
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In: The journal of strategic information systems, Band 6, Heft 1, S. 69-90
ISSN: 1873-1198
In: International journal of information management, Band 67, S. 102554
ISSN: 0268-4012
In: International journal of information management, Band 35, Heft 6, S. 717-723
ISSN: 0268-4012
There has been an increasing focus internationally on the quality and impact of research outputs in recent years. Several countries, including the United Kingdom and New Zealand have implemented schemes to base the funding of research on research quality. The Australian government is planning to implement a Research Quality Framework (RQF) in the next few years that will impact greatly on funding of research in Australian universities. A key issue for Australian researchers is how the quality and impact of research is defined and measured in their discipline areas. Although peer review is widely used to assess the quality of research outputs, it is expensive and labour intensive. Other surrogate quality measures are often used. This paper focuses on measuring the quality of research outputs in the information systems discipline. We argue that measures such as citation indexes are inappropriate for information systems and that the publication outlet is a more suitable indicator of quality. We present a ranking list of journals for the information systems discipline, and discuss the approach we have taken in developing the list. We discuss how the ranking list may be used in defining and measuring the quality of information systems research outputs, the limitations inherent in the approach and discuss lessons we have learned in developing the list.
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In: The journal of strategic information systems, Band 27, Heft 2, S. 139-156
ISSN: 1873-1198
Although Big Data generates many benefits for individuals, organizations and society, significant ethical issues are forcing governments to review their regulations so that citizens' rights are protected. Given these ethical issues and a gradual increase of awareness about them, individuals are in need of new technical solutions to engage with organizations that extract value from Big Data. Currently, available solutions do not adequately accommodate the conflicting interests of individuals and organizations. In this paper, we propose a conceptual design for an artifact that will raise awareness amongst individuals about Big Data ethical issues and help to restore the power balance between individuals and organizations. Furthermore, we set forward a design agenda outlining future activities towards building and evaluating our proposed artifact. Our work is grounded in discourse ethics and stakeholder theory and intertwined with the European General Data Protection Regulation (GDPR)
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