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Knowledge Sharing and Business Expertise Factor Relationships

机译:知识共享和业务专长因素关系

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Research into knowledge sharing has predominantly utilised qualitative research methods. The quantitative research methods that built models focused upon a narrow grouping of factors. This research sought to develop a holistic model of the predictors of knowledge sharing, with expertise factors added, to qualify the value of the expertise being shared. An extensive literature review and individual / series of interviews were carried out to identify the knowledge sharing factors, of which 18 were recognised. The value of knowledge shared is dependent on the expertise of the individual, and two expertise orientated factors were developed. These two factors were based upon two self?assessment constructs, a Cochran?Weiss?Shanteau measure, and a peer?comparison measure, both of which were used to identify an individual?s the level of expertise. Using these factors a model was developed that, enabled individual self?assessment of knowledge sharing and expertise latent variables. 103 participants completed the survey, and the results were analysed using structured equation modelling (SEM) and confirmatory factor analysis (CFA). The model did not achieve a goodness of fit. There were 6 factors that were significantly related to the intention to share knowledge construct, with both expertise factors found to be significantly related to an expertise construct. The intention to share knowledge construct was significantly related to the expertise construct. This model has been used to identify 4 types of knowledge sharers. These types offer significant practical benefit for human resource activities, specifically in recruitment and organisational design.??.
机译:知识共享研究主要采用定性研究方法。建立模型的定量研究方法着眼于狭窄的因素组。这项研究试图建立一个知识共享预测因子的整体模型,并添加专业知识因素,以限定所共享专业知识的价值。进行了广泛的文献综述和个人/系列访谈,以识别知识共享因素,其中发现了18个。知识共享的价值取决于个人的专业知识,并且开发了两个面向专业知识的因素。这两个因素基于两个自我评估结构,即Cochran?Weiss?Shanteau测度和对等比较测度,两者均用于确定个人的专业水平。利用这些因素,建立了一个模型,可以对知识共享和专业知识的潜在变量进行个人自我评估。 103位参与者完成了调查,并使用结构方程模型(SEM)和验证性因子分析(CFA)对结果进行了分析。该模型没有达到拟合优度。有6个因素与共享知识构架的意图显着相关,而两个专业知识因数均与专业知识构架显着相关。共享知识结构的意图与专业知识结构显着相关。该模型已用于识别4种类型的知识共享者。这些类型为人力资源活动(尤其是在招聘和组织设计方面)提供了显着的实际好处。

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