Design and natural science research on information technology Export

@article{citeulike:2392819, abstract = {Research in IT must address the design tasks faced by practitioners. Real problems must be properly conceptualized and represented, appropriate techniques for their solution must be constructed, and solutions must be implemented and evaluated using appropriate criteria. If significant progress is to be made, IT research must also develop an understanding of how and why IT systems work or do not work. Such an understanding must tie together natural laws governing IT systems with natural laws governing the environments in which they operate. This paper presents a two dimensional framework for research in information technology. The first dimension is based on broad types of design and natural science research activities: build, evaluate, theorize, and justify. The second dimension is based on broad types of outputs produced by design research: representational constructs, models, methods, and instantiations. We argue that both design science and natural science activities are needed to insure that IT research is both relevant and effective.}, citeulike-article-id = {2392819}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=222832}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/0167-9236(94)00041-2}, citeulike-linkout-2 = {http://linkinghub.elsevier.com/retrieve/pii/0167923694000412}, citeulike-linkout-3 = {http://www.sciencedirect.com/science/article/B6V8S-3Y5FNDY-1/2/2ea948195f581aa5f63b92459958d987}, doi = {10.1016/0167-9236(94)00041-2}, issn = {01679236}, journal = {Decision Support Systems}, keywords = {design\_science, methodology}, month = {December}, number = {4}, pages = {251--266}, posted-at = {2008-02-18 07:59:48}, priority = {2}, title = {Design and natural science research on information technology}, url = {http://dx.doi.org/10.1016/0167-9236(94)00041-2}, volume = {15}, year = {1995} }

TY - JOUR ID - citeulike:2392819 L3 - citeulike-article-id:2392819 N2 - Research in IT must address the design tasks faced by practitioners. Real problems must be properly conceptualized and represented, appropriate techniques for their solution must be constructed, and solutions must be implemented and evaluated using appropriate criteria. If significant progress is to be made, IT research must also develop an understanding of how and why IT systems work or do not work. Such an understanding must tie together natural laws governing IT systems with natural laws governing the environments in which they operate. This paper presents a two dimensional framework for research in information technology. The first dimension is based on broad types of design and natural science research activities: build, evaluate, theorize, and justify. The second dimension is based on broad types of outputs produced by design research: representational constructs, models, methods, and instantiations. We argue that both design science and natural science activities are needed to insure that IT research is both relevant and effective. IS - 4 JF - Decision Support Systems SN - 01679236 EP - 266 TI - Design and natural science research on information technology VL - 15 SP - 251 KW - design_science KW - methodology PY - 1995/12// UR - http://dx.doi.org/10.1016/0167-9236(94)00041-2 ER -