A Granular View of Knowledge Development in Design Science Research

被引:2
作者
Prat, Nicolas [1 ]
Akoka, Jacky [2 ,3 ]
Comyn-Wattiau, Isabelle [1 ]
Storey, Veda C. [4 ]
机构
[1] ESSEC Business Sch, Cergy Pontoise, France
[2] CEDRIC CNAM, Paris, France
[3] IMT BS, Evry, France
[4] Georgia State Univ, Atlanta, GA 30303 USA
来源
TRANSDISCIPLINARY REACH OF DESIGN SCIENCE RESEARCH, DESRIST 2022 | 2022年 / 13229卷
关键词
Design science research; Design knowledge; Knowledge development; Knowledge type; Operation; Triplet of dynamic knowledge;
D O I
10.1007/978-3-031-06516-3_27
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
dDesign science research (DSR) should contribute to both the prescriptive and descriptive knowledge bases. Despite its maturity, a granular understanding of how DSR develops knowledge, while utilizing and contributing prescriptive and descriptive knowledge, remains incomplete. Creating such a granular understanding requires a detailed typology of design knowledge, a unifying vocabulary of operations, and an identification of which operations can be applied to produce different knowledge types. We propose that "triplets of dynamic knowledge", relating source and target knowledge types through operations, can be defined, and combined to develop design knowledge. We provide a vocabulary of operations on knowledge types and investigate the relationships between knowledge types and operations. We illustrate triplets that can improve fitness, projectability or confidence. The goals of the granular view of knowledge development are to guide researchers without constraining them, and to progress a finer-grained description and accumulation of knowledge development in DSR.
引用
收藏
页码:363 / 375
页数:13
相关论文
共 50 条
[41]   A design science research methodology for Information Systems Research [J].
Peffers, Ken ;
Tuunanen, Tuure ;
Rothenberger, Marcus A. ;
Chatterjee, Samir .
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2007, 24 (03) :45-77
[42]   Socially responsible design science in information systems for sustainable development: a critical research methodology [J].
Monson, Mike .
EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2023, 32 (02) :207-237
[43]   Real-Time Delphi questionnaire development at LimeSurvey: a Design Science Research approach [J].
Afonso, Carlos M. ;
Serra, Manuel ;
Almeida, Carlos M. ;
Antonio, Nuno .
PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021), 2021,
[44]   Development and evaluation of an urban data governance reference model based on design science research [J].
Bozkurt, Yusuf ;
Rossmann, Alexander ;
Pervez, Zeeshan ;
Ramzan, Naeem .
GOVERNMENT INFORMATION QUARTERLY, 2025, 42 (02)
[45]   Reconciling Theories with Design Choices in Design Science Research [J].
Lukyanenko, Roman ;
Parsons, Jeffrey .
DESIGN SCIENCE AT THE INTERSECTION OF PHYSICAL AND VIRTUAL DESIGN, 2013, 7939 :165-180
[46]   Toward a Knowledge-Based System for African Traditional Herbal Medicine: A Design Science Research Approach [J].
Devine, Samuel Nii Odoi ;
Kolog, Emmanuel Awuni ;
Atinga, Roger .
FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5
[47]   Digitalization of the natural sciences: Design science research and computational science [J].
Storey, Veda C. ;
Baskerville, Richard L. .
DECISION SUPPORT SYSTEMS, 2025, 189
[48]   A Design Science Approach to Development of Educational IS [J].
Bond, Justin L. ;
Sankar, Chetan S. .
PRACTICAL ASPECTS OF DESIGN SCIENCE, 2012, 286 :144-150
[49]   Alleviating Design Silence in Design Science Research: a Proposal of a Design Method [J].
Gacenga, Francis ;
Cater-Steel, Aileen ;
Toleman, Mark ;
Tan, Wui-Gee .
PROCEEDINGS OF THE 11TH EUROPEAN CONFERENCE ON RESEARCH METHODS, 2012, :122-131
[50]   Disaster Knowledge Management Analysis Framework Utilizing Agent-Based Models: Design Science Research Approach [J].
Inan, Dedi Iskandar ;
Beydoun, Ghassan .
4TH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE (ISICO 2017), 2017, 124 :116-124