TY - JOUR
T1 - Pursuing excellence in firm core knowledge through intelligent group decision support system
AU - Lin, Chinho
AU - Hsu, Ming Lung
AU - Liu, Andrea
AU - Ju-Chuan, J. C.
PY - 2008/3/21
Y1 - 2008/3/21
N2 - 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.
AB - 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.
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U2 - 10.1108/02635570810858723
DO - 10.1108/02635570810858723
M3 - Article
AN - SCOPUS:40849120045
SN - 0263-5577
VL - 108
SP - 277
EP - 296
JO - Industrial Management & Data Systems
JF - Industrial Management & Data Systems
IS - 3
ER -