DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research
Publikation: Beiträge in Sammelwerken › Abstracts in Konferenzbänden › Forschung › begutachtet
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DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research. / Dann, David; Maedche, Alexander; Teubner, Tim et al.
ICIS 2019 Proceedings: IS research methods, theorizing and philosophy of science. Association for Information Systems, 2019. Paper ID 2785 (40th International Conference on Information Systems, ICIS 2019).Publikation: Beiträge in Sammelwerken › Abstracts in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research
AU - Dann, David
AU - Maedche, Alexander
AU - Teubner, Tim
AU - Mueller, Benjamin
AU - Meske, Christian
AU - Funk, Burkhardt
PY - 2019
Y1 - 2019
N2 - The accumulation of knowledge is key for any discipline, IS being no exception. With the number of publications, theoretical constructs, and empirical findings growing, surging demand for structuring and meta-analysis is foreseeable. We introduce DISKNET, an online platform that enables the extraction, exploration, and aggregation of construct’s definitions, semantic relations, and analytical relations. While these aspects exhibit a rather standardized structure in theory, their practical documentation is non-uniform, highly dispersed, and tricky to seize technically. This has impeded the efficiency and effectiveness of review and meta-analytical processes, and resulted in a fragmented theoretical superstructure. We suggest that tool support for systematic knowledge accumulation is a central step to counteract these issues and to build to a consistent body of knowledge within the IS discipline. The current prototype of DISKNET draws on a large sample of SEM-based studies to demonstrate relevant design principles for a platform for systematic accumulation of knowledge.
AB - The accumulation of knowledge is key for any discipline, IS being no exception. With the number of publications, theoretical constructs, and empirical findings growing, surging demand for structuring and meta-analysis is foreseeable. We introduce DISKNET, an online platform that enables the extraction, exploration, and aggregation of construct’s definitions, semantic relations, and analytical relations. While these aspects exhibit a rather standardized structure in theory, their practical documentation is non-uniform, highly dispersed, and tricky to seize technically. This has impeded the efficiency and effectiveness of review and meta-analytical processes, and resulted in a fragmented theoretical superstructure. We suggest that tool support for systematic knowledge accumulation is a central step to counteract these issues and to build to a consistent body of knowledge within the IS discipline. The current prototype of DISKNET draws on a large sample of SEM-based studies to demonstrate relevant design principles for a platform for systematic accumulation of knowledge.
KW - Business informatics
KW - Construct identity
KW - Knowledge repository
KW - Meta-analysis
KW - Nomological network
UR - http://www.scopus.com/inward/record.url?scp=85108162910&partnerID=8YFLogxK
M3 - Published abstract in conference proceedings
T3 - 40th International Conference on Information Systems, ICIS 2019
BT - ICIS 2019 Proceedings
PB - Association for Information Systems
T2 - International Conference on Information Systems - ICIS 2019
Y2 - 15 December 2019 through 18 December 2019
ER -