EconPapers    
Economics at your fingertips  
 

A Situational Knowledge Network Nexus: Exploring Kernel Theory Extensions Using Design Science Research

Magnus Rotvit Perlt Hansen () and Jan Pries-Heje ()
Additional contact information
Magnus Rotvit Perlt Hansen: Roskilde University
Jan Pries-Heje: Roskilde University

A chapter in Design Science Research. Cases, 2020, pp 261-288 from Springer

Abstract: Abstract When organizations realize that they need to innovate, they often have their knowledge workers participate in inter-organizational “knowledge networks” that have the purpose of developing their participants’ skills and competencies through facilitated meetings. The main problem of knowledge networks is that it can be difficult to evaluate whether the network group is “healthy” and follows its purpose and whether its participants gain any value as a result, so the design problem faced in this study was “How to design a tool to assist network coordinators with the continuous development of network groups.” The problem was broken into three sub-problems: identifying the types of knowledge networks, identifying a tool for gauging a knowledge network’s “health,” and identifying a process through which knowledge networks can be effectively established, maintained, and ended. The problem was complicated by the need to identify common interests among the knowledge networks’ main stakeholders, for whom the solution had to provide value. The stakeholder groups were identified as network sponsors, network facilitators, and network participants. Three artifacts were designed to solve the problems identified. Artifact 1 was a visualization of the process of how to establish, maintain, operate, and evaluate and/or end a knowledge network. To support this process, two additional interactive artifacts were designed. The second artifact was a document called a “network charter” to be used by the facilitator and network participants at the beginning of and during the knowledge network process. The third artifact was an assessment tool for assessing seven key parameters of the selected knowledge network using a radar chart. Three main lessons were learned in the DSR project. First, we found that the DSR approach can be beneficial in creating new kernel theories, not just design theory. The concept of knowledge network archetypes was extracted through a combination of a literature review on knowledge networks and through the empirical activities involved in uncovering participant value and network facilitators’ evaluation of the artifacts. Second, we learned that designing artifacts that provide value to various stakeholders with asymmetric power relationship on multiple levels should be pursued by DSR researchers. Third, DSR can be used to provide situational solutions, not just normative ones.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-46781-4_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030467814

DOI: 10.1007/978-3-030-46781-4_11

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-05-18
Handle: RePEc:spr:prochp:978-3-030-46781-4_11