The Study of Knowledge sourcing behavior:People-to-People vs. Peopel-tp-Published

碩士 === 國立中山大學 === 資訊管理學系研究所 === 95 === In knowledge management research domain, there is lack of research to investigate what factors influence individuals’ knowledge sourcing behaviors. Most literatures focus on supply end of knowledge flow, but few literatures focus on demand end of knowledge flow...

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Bibliographic Details
Main Authors: Wen-wei Kung, 孔文暐
Other Authors: Lin Tung Ching
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/k68td2
Description
Summary:碩士 === 國立中山大學 === 資訊管理學系研究所 === 95 === In knowledge management research domain, there is lack of research to investigate what factors influence individuals’ knowledge sourcing behaviors. Most literatures focus on supply end of knowledge flow, but few literatures focus on demand end of knowledge flow. Therefore, this study developed a conceptual model to explain individual’ knowledge sourcing behaviors, and we categorized individuals’ knowledge sourcing behaviors into People-to-People and People-to-Published. We also adopt three main categories of antecedents to individuals’ knowledge sourcing behaviors including: group’s factors, individual factors, task-related factors. We adopted the quantitative research method and focus on individuals from different organization in various Industries to collect research data. Then, Structural equations model analysis was conducted to test the research model. The results revealed that: (1)The factors influenced individuals performing People-to-People knowledge sourcing behaviors including: (a)Trust from group’ factors, (b)Risk-aversion from individual factors, (c)Tacit knowledge demanded, and Variety from task-related factors. (2)The factors influenced individuals performing People-to-Published knowledge sourcing behaviors including: (a)Learning orientation from individual factors, (b)Explicit knowledge demanded, Standardization, and Time pressure from task-related factors. With the results of this study, we hope to present a further understanding of the demand for knowledge within organizations and offer a theoretical framework for researchers and managers to predict individuals’ knowledge sourcing behaviors, then improving the management mechanism about these behaviors.