• Knowledge Management Research
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• v.15 no.3
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• pp.95-120
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• 2014

In order to successfully adapt in ever-changing social and economic environment, organizational members need to get a capacity to be open to accepting change, effectively leverage the knowledge assets accumulated inside and outside the company for pursuing new values. In this study, we defined such competence as generativity capacity and demonstrated mechanism for forming generativity capacity and an impact on job performance. We suggested absorptive capacity, tertius iungens orientation, use of information technology as antecedent variables of generativity capacity. For empirically verifying the proposed model, we collected sample data from 201 workers and conducted analysis using a structural equation modeling. The empirical analysis results revealed that all of the proposed antecedent variables significantly impacted on generativity capacity, which in turn had a significant effect on job performance. We expect that this study will provide researchers and managers who want to get a broader perspective on knowledge management beyond the boundaries with useful theoretical and practical implications.

• Knowledge Management Research
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• v.16 no.1
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• pp.143-170
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• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.