学术前沿讲座
报告题目 | Intervention (or Treatment) Effect Rates as a Path to Research Relevance: Information Systems Security Management Example |
报告人（单位） | Mikko Siponen Professor of Information Systems; Vice Dean for Research University of Jyväskylä, Finland |
点评人（单位） | 邵秀燕（东南大学） |
时间地点 | 时间：2019年10月16日（周三 上午10：00） 地点：九龙湖经管楼A501 |
报告内容摘要 | |
Current information systems security (ISS) research has put a premium on proposing new theory contributions. This research follows the following formula: Suggest a new theory (or set of constructs) in ISS and show that it is empirically supported, then suggest another new theory (or set of constructs) and show that it is empirically supported, and so on. Despite the merits of this approach, it leaves out important scientific aspects. For example, after more than 30 years of ISS research, (1) little is known about which conditions and situations that new theories (or constructs) do not apply to; (2) we do not know which of these new theories are more effective than others in solving an ISS problem; and (3) we have not demonstrated that our best research, or new theoretical contributions, can beat industry best practices or practitioners’ intuitive approaches.
We suggest that ISS research be examined in terms of long-term research programs, which have four levels: meta-level research, basic research, applied research, and post-intervention research. The ultimate success of such programs does not entail new theories, “contextualized theories,” or adding IT artifacts to theories. Rather, the ultimate success of such programs hinges on the question of which program can demonstrate the best track record on intervention effect rate for a given ISS problem.
The lack of demonstrated intervention effectiveness (e.g., by showing treatment effect rates) is one important inhibitor that prevents ISS research from achieving relevance in practice. Without reporting such evidence, ISS research cannot overpower the folklore, fads, or industry “best practices” that often guide operations. With such treatment-effect rates, evidence-based practice becomes more justifiable. We believe that our ideas also can be applied to ISS research in general. | |
报告人简介 | |
Mikko Siponen is full professor of Information Systems. He has served more than ten years as a Vice Dean for Research, Head of Department, vice head or director of a research center. His degrees include Doctor of Social Sciences, majoring in Philosophy; M.Sc. in Software Engineering; Lic.Phil. in information systems; and Ph.D. in Information Systems. He has received over 10 million EUR of research funding from corporations and numerous other funding bodies. Besides leading industry-funded projects, Siponen has been a PI on projects for the Academy of Finland, the EU, and the Finnish Funding Agency for Innovation. His current H index is 42, and he has more than 7200 citations (Google Scholar). He has published more than 55 articles in journals such as MIS Quarterly and Information Systems Research. Prof. Siponen is currently a Senior Editor (SE) for Journal of the Association for Information Systems. He has been a special issue SE for MISQ, AE for EJIS, I&M and CAIS. Prof. Siponen has been ranked among the most productive IS scholars Europe and worldwide. | |
