Pursuing excellence in firm core knowledge through intelligent group decision support system

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...

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