Design science in information systems research

By Martin Bichler. Wirtschaftsinf., 2006

2,952 citations recorded by the source corpus.

Subfields: Management Information Systems, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/7393297a2523dfb4fef917f65a22eaa1c86a2658

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Alan R. Hevner
2. Paul Johannesson
3. Erik Perjons
4. Ola Henfridsson
5. Rikard Lindgren
6. Shirley Gregor
7. Donald E. Wynn Jr.
8. Clay K. Williams

In Sociology and Political Science

1. Alan R. Hevner
2. Shirley Gregor
3. Paul Johannesson
4. Erik Perjons
5. Ola Henfridsson
6. Rikard Lindgren
7. Donald E. Wynn Jr.
8. Clay K. Williams

In Human-Computer Interaction

1. Alan R. Hevner
2. Maytal Saar-Tsechansky
3. Michael Chau
4. Ola Henfridsson
5. Paul Johannesson
6. Foster J. Provost
7. Donald E. Wynn Jr.
8. Jennifer Jie Xu

Citations in the corpus

• An Introduction to Design Science (2014, background): “Another highly influential paper was written by Hevner et al. (2004), which contrasts two research paradigms in the information systems area: behavioural science and design science.”
• The Three Cycle View of Design Science (2007, background): “Juhani states that prior research papers (Hevner et al. 2004; March and Smith 1995) associate design science with a pragmatic philosophy.”
• Design Principles for Competence Management Systems: A Synthesis of an Action Research Study (2004, methodology): “Design is central to the information systems discipline (Hevner et al. 2004; Markus et al. 2002), MIS Quarterly Vol. 28 No. 3/September 2004 437 and the action research method, with its iterative hypothesis development and testing, is particularly appropriate for the development of system design…”
• Active Feature-Value Acquisition (2009, methodology): “We note that an optimization procedure to identify the best of all possible acquisition sets can be thought of as a multiple-comparison procedure (Jensen and Cohen 2000), using a finite set of training data to estimate generalization performance of alternative models.”
• Business Intelligence in Blogs: Understanding Consumer Interactions and Communities (2012, methodology): “Following the design science methodology described in Hevner et al. (2004), we incorporate automated data collection, content analysis, and social network analysis of blogs in our design.”
• Positioning and Presenting Design Science Research for Maximum Impact (2013, methodology): “The research itself is evaluated against Hevner et al. (2004) guidelines for conducting design science research.”
• Design science as nested problem solving (2009, background): “Design Science as Nested Problem Solving Roel Wieringa Department of Electrical Engineering, Mathematics, and Computer Science University of Twente, The Netherlands roelw@cs.utwente.nl ABSTRACT Design science emphasizes the connection between knowl­edge and practice by showing that we can produce ”
• Principles for Conducting Critical Realist Case Study Research in Information Systems (2012, methodology): “Thus, all knowledge in CR is value aware and theoretically informed, derived from multiple value-aware perceptions of a single independent reality (Healy and Perry 2000).”