From Information Systems to Knowledge Systems: Issues in Knowledge and Systems Research Minitrack in the Knowledge Systems Track Hawaii International Conference on Systems Science 2013 It has been proposed by many in our field that the discipline of Information Systems requires a shift in teaching and research. Historically, the field has been focused on the transformation of data into information and in this track, we take the view that this has, for the most part, already occurred. Further, there is new research being published about the transformation of information to knowledge and knowledge to wisdom [another reference is probably required]. For this track, we invite research proposals, education curricula, and papers that illustrate and/or demonstrate this shift, or even cases that argue against this stance. The field of Systems Science, as with most computing fields, is experiencing the effect of changing paradigms. In this time of big data, how can we get big knowledge or big breakthroughs to resolve problems our planet and societies face, now and in the future? Solutions to environmental, health, and energy problems require extensive knowledge basesthat traditional MIS curricula and research appear to fail to address. In this track, we intend to stimulate dialogue amongst IS faculty and professionals to shift our discipline towards greater relevance. The issue of relevance has been discussed for many years, but now is the time to make pragmatic changes. Examples of desired work may include at least the following: - Case study examples from industry and academia that illustrate workplace applications. - Academic cases that highlight or refute this shift in the curricula. - Frameworks that help companies transform practice from the past to the present for the future. - Technologies that help companies build knowledge systems from their information systems. - Commentaries on IS as a scientific discipline (what is "science"? What are outcomes of scientific endeavors?) - Papers of the value of IS as it stands as a functional area in an organization Examples of evidence based research that demonstrates the application of theoretical concepts, that support the premise of this track Minitrack co-chairs: Alan Litchfield, Auckland University of Technology School of Computing and Mathematical Sciences Private Bag 92006, Auckland 1142, New Zealand
[email protected] Andrew Urbaczewski, University of Michigan - Dearborn 19000 Hubbard Drive, FCS 127,Dearborn, MI 48126
[email protected]
