Please use this identifier to cite or link to this item:
|標題:||Knowledge sharing: game and reasoned action perspectives||作者:||Ho, C.T.B.
|關鍵字:||Game theory;Knowledge sharing||Project:||Industrial Management & Data Systems||期刊/報告no：:||Industrial Management & Data Systems, Volume 109, Issue 8-9, Page(s) 1211-1230.||摘要:||
Purpose - The purpose of this paper is to investigate knowledge sharing (KS) to characterize its behavior in companies based on the concepts of theory of reasoned action and game theory (GT). Design/methodology/approach - The paper proposes two models: Model A: KS process is constructed by capturing personal psychological feelings; and Model B: KS process is not only constructed by personal psychological feelings but also takes into consideration other people's decisions. By comparing the two knowledge-sharing models' predictability performance, the authors are able to characterize the process of KS. Findings - The results show that different companies require different models. On average, Model B with game concept has lower predictive accuracy than the Model A without game concept. Research limitations/implications - The paper provides practical implications for manager to frame effective KS policies and also suggests future studies to improve measurement. Originality/value - The values of this paper are: provide a methodology to determine whether individuals analyze decisions of others in making KS decisions; test the predictive ability of GT analysis in a KS modeling, and build a single-instance two-person game to characterize individuals' tacit KS behavior.
|Appears in Collections:||科技管理研究所|
Show full item record
TAIR Related Article
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.