DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research
Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
Authors
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.
Original language | English |
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Title of host publication | ICIS 2019 Proceedings : IS research methods, theorizing and philosophy of science |
Number of pages | 9 |
Publisher | Association for Information Systems |
Publication date | 2019 |
Article number | Paper ID 2785 |
ISBN (electronic) | 978-0-9966831-9-7 |
Publication status | Published - 2019 |
Event | International Conference on Information Systems - ICIS 2019 - International Congress Center Munich, München, Germany Duration: 15.12.2019 → 18.12.2019 https://aisel.aisnet.org/icis2019/ https://icis2019.aisconferences.org/ |
- Business informatics
- Construct identity, Knowledge repository, Meta-analysis, Nomological network