Reconciling Theories with Design Choices in Design Science Research

被引:0
作者
Lukyanenko, Roman [1 ]
Parsons, Jeffrey [1 ]
机构
[1] Mem Univ Newfoundland, Fac Business Adm, St John, NF, Canada
来源
DESIGN SCIENCE AT THE INTERSECTION OF PHYSICAL AND VIRTUAL DESIGN | 2013年 / 7939卷
关键词
design science research; design theory; conceptual modeling; database design; rigor; relevance; information quality; data quality; citizen science; RELATIONAL DATABASES; INFORMATION; FRAMEWORK; METHODOLOGY; ANATOMY;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Despite increased acceptance of design science research, concerns about rigor and relevance permeate the research community. One way to increase rigor is by codifying design knowledge into design theories. While this idea is gaining popularity, it is unclear how to approach design theorizing in a scientifically rigorous, yet practically relevant, way. In this paper, we address one particularly murky issue in design science research: reconciling theoretical abstractness with practicality. Since many design theories are moderately abstract, a gap exists between theoretical propositions and concrete issues faced in practice. We present a case study of real information system (IS) development where these issues become evident. Based on the identified issues we provide four theory-driven recommendations including specification of transformational rules, developing or imagining a real IS artifact, specification of boundary conditions and over-specification of the theoretical core. The consequences of these recommendations for design science theorizing are discussed.
引用
收藏
页码:165 / 180
页数:16
相关论文
共 62 条
[1]  
[Anonymous], P 16 INT C INF QUAL
[2]  
[Anonymous], 2006, P 1 INT C DES SCI IN
[3]  
Antelio M, 2012, IEEE SYS MAN CYBERN, P931, DOI 10.1109/ICSMC.2012.6377847
[4]  
Arazy O, 2010, J ASSOC INF SYST, V11, P455
[5]   BEYOND CONTEXTUALIZATION: USING CONTEXT THEORIES TO NARROW THE MICRO-MACRO GAP IN MANAGEMENT RESEARCH [J].
Bamberger, Peter .
ACADEMY OF MANAGEMENT JOURNAL, 2008, 51 (05) :839-846
[6]   Research commentary: Rethinking ''diversity'' in information systems research [J].
Benbasat, I ;
Weber, R .
INFORMATION SYSTEMS RESEARCH, 1996, 7 (04) :389-399
[7]   REVERSE ENGINEERING OF RELATIONAL DATABASES - EXTRACTION OF AN EER MODEL FROM A RELATIONAL DATABASE [J].
CHIANG, RHL ;
BARRON, TM ;
STOREY, VC .
DATA & KNOWLEDGE ENGINEERING, 1994, 12 (02) :107-142
[8]  
Chomsky N., 1986, KNOWLEDGE LANGUAGE I
[9]   RELATIONAL DATABASE - A PRACTICAL FOUNDATION FOR PRODUCTIVITY [J].
CODD, EF .
COMMUNICATIONS OF THE ACM, 1982, 25 (02) :109-117
[10]  
Cole R., 2005, Proc. 26th International Conference on Information Systems, P325