Knowledge management: problems, promises, realities, and challenges
Abstract
This article explores the implications of a design perspective for knowledge management (KM). We examine the major problems which our approach must address, the promises it offers, the realities we have explored in our work and the continuing challenges. The authors' KM approach assumes that knowledge is not a commodity but that it is collaboratively designed and constructed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior studies reported that developers perceive structural changes at architectural scale as costly, complicated, and risky, and failing to implement such changes incurs significant consequences.
“Despite the benefits of architectural refactoring, prior studies [29, 44] also reported that developers perceive the structural changes at architectural scale as costly, complicated, and risky, and failing to implement such changes incurs significant consequences.”
From Software Architecture in Practice: Challenges and Opportunities (2023) · cites this paper as [29]
No agreement on the value of architecture refactoring.
“Undervalued: No agreement on the value of architecture refactoring.”
From Software Architecture in Practice: Challenges and Opportunities (2023) · cites this paper as [29]
Cites
Bruner, J. (1996) · doi:10.4159/9780674251083 · Cited by 6,231 · see citing works
Raymond, E. S. (1998) · First Monday · doi:10.5210/fm.v3i10.621 · Cited by 290 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
10 years of software architecture knowledge management: Practice and future
Capilla, R., Jansen, A., Tang, A., Avgeriou, P., & Babar, M. A. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2015.08.054 · Cited by 160 · see citing works
Storytelling wisdom: Story, information, and <scp>DIKW</scp>
McDowell, K. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24466 · Cited by 55 · see citing works
Software Architecture in Practice: Challenges and Opportunities
Wan, Z., Zhang, Y., Xia, X., Jiang, Y., & Lo, D. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3611643.3616367 · Cited by 30 · see citing works
- Authors
- Fischer, G., & Otswald, J.
- ORCID
- Fischer, G.
- Venue
- IEEE Intelligent Systems
- Published
- 2001-01
- Volume
- 16
- Issue
- 1
- Pages
- 60-72
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W2117264160
- Cited by
- 269
- References
- 2
- Citations by year
- 2024: 2 · 2023: 6 · 2021: 11 · 2020: 3 · 2019: 7 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 8 · 2014: 7 · 2013: 9 · 2012: 9
- FWCI
- 32.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Intelligent Systems (publishedVersion)
- Funders
- National Science Foundation
- Coleman Foundation
- Office of Naval Research
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Knowledge Management and Technology
- Social Sciences › Communication › Knowledge Management and Sharing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Keywords
- knowledge management, design perspective, collaborative knowledge construction, knowledge as commodity, knowledge management challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review