Purpose – The paper's objective is to present a group decision support system (GDSS) for facilitating the process of core knowledge selection. Design/methodology/approach – The proposed GDSS is developed by taking advantage of the characteristics of certain existing analytical and mathematical methods, including knowledge‐based SWOT analysis, knowledge audit instruments, gap analysis, synergy analysis, similarity measures, multi‐objective linear programming (MOLP), and fuzzy programming. A case study was performed to identify whether or not the GDSS achieves its designed purpose. Findings – The results show that GDSS can be applied effectively in identifying core knowledge that should be developed. Practical implications – The proposed GDSS provides a comprehensive procedure for top managers, using a strategy‐orientated perspective to determine suitable core knowledge to be developed by appropriately analyzing internal synergy and external gap effects on core knowledge. Top managers need not only be aware of the relationship between core knowledge and other factors but must also consider decision‐making problems related to this issue. Originality/value – Few prior studies have provided a systematic approach for develops organizational core knowledge by using analytical and mathematical methods. This paper particularly focuses on the question of how firms can actually identify core knowledge and thus develop appropriate strategies.
Industrial Management & Data Systems – Emerald Publishing
Published: Mar 21, 2008
Keywords: Knowledge management; Fuzzy logic; Programming; Decision support systems
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera