• Knowledge Management Research
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• v.14 no.5
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• pp.101-120
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• 2013

The effective management of knowledge has become one of the critical success factors in current organizations. In spite of the extensive use of Knowledge Management System (KMS), useful information and knowledge resources are still transmitted through personal networks among people in organizations. Thus, social network theory which focuses on social relationships in organization can be a fruitful theoretical resource for enhancing Knowledge Management (KM) performances. In this study, we investigate the effects of intra-team network characteristics (i.e., group density and degree of centralization) and external boundary spanning activities on knowledge management performances of a team. We also acknowledge that all group members do not necessarily agree on the team goal and actively disseminate useful information and knowledge. Drawing on the political perspective on KM which emphasizes the role of trust among group members, we examine the mediating effects of team trust between internal/external network characteristics and KM performances. From the data of 220 teams in financial companies in Korea, we found that: (1) group density had positive effects on KM performances (i.e., knowledge creation, sharing, and use). (2) However, centralization was not significantly associated with KM performances. (3) Team trust was found to be an important factor mediating the relationship between intra-team network characteristics, boundary spanning activities, and KM performances. Based on these results, we discuss and suggest possible implications of the findings when designing and implementing KM practices.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.4
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• pp.89-103
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• 2006

The purpose of this study is to examine influential factors in knowledge-sharing and to analyze how these factors influence the performances of knowledge management (KM) in public enterprises. Influencing factors of KM in this study include evaluation-compensation, knowledge management system, learning culture, and organizational structures. As a result, analysis turned out to be the KM system and organizational structure directly effects knowledge-sharing and KM performances. And knowledge-sharing performed as mediating effect between independent variables such as compensation system and organization structure, and dependent variable like KM performance. Therefore, this study concludes that each factor of evaluation-compensation system and learning culture has directly influenced to knowledge-sharing, yet KM performances have Indirectly influenced.

• Knowledge Management Research
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• v.9 no.2
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• pp.147-167
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• 2008

This paper aims to explore the success factors of knowledge management in the perspectives of knowledge management integration into operations and to examine the effect of those factors on the knowledge management performance of individual users and organizations in order to link knowledge management performances to operational performances. I found two factors such as "knowledge management integration into operation processes" and "knowledge management integration into application systems" and their measures by means of literature review and modified Delphi research. Exploratory and confirmatory factor analysis confirmed that those two factors and their measures are statistically valid. Besides, the structural equation modeling analysis showed that the relationship between "knowledge management integration into operation processes" and "individual user's performance on knowledge management" and the relationship between "individual user's performance of knowledge managemen" and "organizational performance of knowledge management" are significant.

• Knowledge Management Research
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• v.6 no.2
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• pp.47-68
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• 2005

The Purpose of this study is to identify relationships between knowledge management performances and such Influence factors of knowledge Management as information technology, knowledge management process, culture & people, strategy & Leadership in Small and Medium-sized Enterprises. In order to test hypotheses, we collected data from 498 SME's employees, then analysed them by SPSSWIN. This results showed as follows; 1. All Influence factors of knowledge Management( information technology, knowledge management process, culture & people, strategy & Leadership) are to advance individual task effectiveness and organization effectiveness significantly. 2. Such Influence factors of knowledge Management as information technology, knowledge management process, culture & people are to improve business efficiency between the company. But strategy & leadership factor is not significant. 3. Influence factors of knowledge Management are different between knowledge performace factors such ac individual task effectiveness, organization effectiveness, and business efficiency between company.

• Information Systems Review
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• v.5 no.1
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• pp.113-127
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• 2003

In recent studies, there has been much interest in knowledge sharing between the company and customer. Yet, there is little empirical work on the impact of the factors on CRM performances. The purpose of this study is empirically analyzing the effects of organizational factors of knowledge management, CRM system factors, and trust on CRM performances. The findings indicate that 3 factors (knowledge-oriented organizational culture/characteristic, technical systems, trust) are significantly related to CRM performances. However, the relationships between other factors (knowledge-oriented leadership, knowledge-oriented strategy, education & reward) and CRM performances are not significant.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.9-16
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• 2022

Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies.

• Knowledge Management Research
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• v.13 no.1
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• pp.25-39
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• 2012

According to knowledge-based view, knowledge is an essential strategic resource for a firm to retain sustainable competitive advantage. As knowledge is created and disseminated throughout the firm, the firm can enhance its capability to respond to new and unusual situations. Thus, a lot of companies actively manage their knowledge and intellectual capital. Especially, knowledge management (KM) activities in R&D organizations play a critical role in enhancing R&D performances such as innovation capability. In this regard, this study develops a theoretical model to examine the effects of R&D KM activities on R&D performance. The research model posits KM participation, knowledge management system (KMS) use, and community of practice (CoP) as the main activities of R&D KM. This study proposes that R&D shared knowledge quality and R&D KM satisfaction play a mediating role between R&D KM activities and its performance. The proposed research model was tested by using survey data collected from 248 employees in an R&D department. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that R&D KM activities play a significant role in enhancing R&D performance. The findings revealed that R&D shared knowledge quality is not significantly related to R&D performance, while R&D KM satisfaction significantly influences R&D performance. The theoretical and practical implications of the findings were described.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1369-1375
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• 2009

This study focus on the structural relationships among business strategies, its various execution types and business performances from the viewpoint of many managerial aspects. These many kinds of management activities are carried out in order to revitalize the E-Business system. The objective of this study is to find out the structural effect of this various kinds of managerial strategies on the practice type of knowledge management such as dynamic and behavioral approach. And also the effect of knowledge management activities on the business performance. The result of this study shows that management strategy for marketing, procurement/logistics and service has positive influences on systematic, behavioral approach as well as the knowledge execution types has positive influence on the management performances.

• Information Systems Review
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• v.12 no.1
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• pp.59-79
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• 2010

According to resource based view, knowledge is regarded as a salient factor to improve an organization's efficiency in the current fast-changing business environment. Knowledge management (KM) may encourage employees to share and exchange knowledge in the organization in order to improve and sustain a competitive advantage over other companies. The proposed research model examines the impacts of KM performances' antecedents on an employee's absorptive capacity. This study identifies KM performances as employee's satisfaction about KM and shared knowledge quality. This study considers KM performances as the major determinants that enhance his/her absorptive capacity. This study also investigates the key antecedents of KM performances. The research model posits extrinsic reward, intrinsic reward, and relational reward as the KM performances' antecedents. Furthermore, this study examines the difference of the antecedents' effects in terms of firm's type. The proposed research model was tested by using survey data collected from 1,103 employees of 2 public enterprises and 907 employees of 5 private enterprises. The findings of this study showed that employee's satisfaction about KM and shared knowledge quality play a significant role in enhancing employee' absorptive capacity. Extrinsic reward only significantly influences employee's satisfaction about KM, whereas both intrinsic and relational rewards serve as the salient antecedents of improving both KM performances. The results also shed light on the moderating role of firm's type. Theoretical and practical implications of this study are discussed.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.169-180
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• 2015

This study looked into these companies and organizations that were working with the knowledge management system in order to verify how practically such introduction of the knowledge management system would affect the organizational performances. The purpose of this study is to present the strategic guidelines should to consider the introduction of the knowledge management system operated by the organization to analyze how factors affect the performance of the introduction of knowledge management systems are organized in empirical. According to the results, the sub-variables of the management factors such as learning organization, evaluation and reward system, organizational trust and knowledge-sharing activity had all the significant effects on the organizational performance, and of the sub-variables of the information technology factors, the information technology-based structure presented statistically significant results which confirmed that the structure itself also had an influence on the organizational performance. However, the study learned that both the information technology maturity and the system structural excellence had nothing to do with the organizational performance.