• Asia pacific journal of information systems
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• v.20 no.3
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• pp.1-32
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• 2010

The implementation of Knowledge Management Systems does not guarantee knowledge sharing within organizations because knowledge sharing cannot be mandated. Although previous investigations have attempted to identify the motivational factors that facilitate knowledge sharing, the results of these studies cannot be easily applied across organizations due to the highly context specific nature of knowledge sharing. Societal culture, as well as organizational culture, affects knowledge sharing behavior. This is why successful knowledge sharing initiatives in the United States, for example, may prove ineffective in another country with a very different culture like China. Therefore, it is clearly important to understand the effects of different societal cultures on individuals' knowledge sharing behaviors. The principal objective of this study is to deepen our understanding about the impact of national culture on an individual's knowledge sharing intention. In order to achieve this goal, field data was collected from 197 employees from a variety of companies and organizations in two countries-Sweden and China. In a collectivistic culture such as China, anticipated reciprocal relationships have been shown to directly affect individuals' attitudes toward knowledge sharing, and the organizational climate has also been shown to affect subjective norms to a significant degree. Subjective norms can influence intentions to share knowledge indirectly through attitudes. In the highly individualistic culture of Sweden, one's sense of self worth and anticipated reciprocal relationships have been shown to profoundly affect individuals' attitudes towards knowledge sharing. In both countries, anticipated extrinsic rewards have been shown to exert no detectable effects on respondents' knowledge sharing attitudes, and subjective norms and organizational climate have been determined not to affect knowledge sharing intentions directly. Rather, in both cases, knowledge sharing intentions have been shown to be directly affected by attitude.

• 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.

• Knowledge Management Research
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• v.18 no.4
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• pp.97-118
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• 2017

Thanks to the development of social media, general users become information and knowledge providers. But customers also feel difficulty to decide their purchases due to numerous information. Although recommender systems are trying to solve these information/knowledge overload problem, it may be asked whether they can honestly reflect customers' preferences. Especially, customers in book market consider contents of a book, recency, and price when they make a purchase. Therefore, in this study, we propose a methodology which can reflect these characteristics based on topic modeling and provide proper recommendations to customers in book market. Through experiments, our methodology shows higher performance than traditional collaborative filtering systems. Therefore, we expect that our book recommender system contributes the development of recommender systems studies and positively affect the customer satisfaction and management.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.168-190
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• 2022

This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

• Information Systems Review
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• v.2 no.1
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• pp.25-37
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• 2000

• Information Systems Review
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• v.11 no.2
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• pp.131-145
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• 2009

Knowledge management is systematic management of vital knowledge resources and its associated processes of creating, gathering, organizing, diffusion, use and exploitation. A key challenge emerging for such organizations is how to encourage knowledge sharing within organization because knowledge is the organization's intellectual capital, of increasing importance in promoting competitive advantages. Isolated initiatives for promoting knowledge sharing and team collaboration, without taking consideration of the knowledge sharing limitations and constraints can defeat further development of KM culture. This article investigates knowledge sharing bottlenecks and proposes the use of community of practice as an effective instrument for knowledge sharing. The article demonstrates the opportunity for overcoming barriers of knowledge sharing through the application of communities of practice. The article introduces a steel company case as the best practice of communities of practice. Then, the paper empirically analyzes the case study to provide evidence for the feasibility and effectiveness of the proposed approach.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.7-16
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• 2008

This research examined the mediation effects of knowledge absorptive capacity (KAC) and knowledge management capability (KMC), between information communication technology (ICT) implementation and firm performance. In the past, studies investigated KAC and KMC separately. While studies of KAC focus on the flow of information, those of KMC focus on knowledge creation triggered by innovative information. However, KAC and KMC are not mutually exclusive and as such we investigated them together in this research. We surveyed 126 companies and analyzed hypotheses with LISREL analysis. This research provided empirical support for the Nonaka's contention that the information processing has a positive effect on knowledge creation. We also found that there is a mediation effect between ICT implementation and firm performance. Not only is there a direct effect of ICT implementation on firm performance, but there is an indirect effect through KAC and KMC. KAC has a positive effect on both KMC and firm performance. However, it has been discovered that while KMC has mediation effect, it is not significant as an independent factor for firm performance.

• Knowledge Management Research
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• v.9 no.2
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• pp.87-107
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• 2008

The knowledge society has come to where the knowledge is the source of wealth contrary to the traditional era that labor and capital were the source of wealth. Thus, corporate is accelerating to introduce the knowledge management and to establish the knowledge management system (KMS) in order to effectively manage the knowledge that can be the source of their competitiveness. The purpose of this paper is to identify the factors which affect knowledge sharing and to prove empirically their relationships with the KMS performance. A survey was conducted and data were collected from 220 respondents of 19 organizations which have adopted KMS. Research model and related hypotheses were tested using PLS Graph 3.0. As a result of data analysis, seven hypotheses out of eleven hypotheses were supported. In particular, knowledge sharing is significantly influenced by those knowledge sharing factors such as openness, trust, training, reward system, perceived usefulness, and communication channel. Also, individual impact is significantly affected by knowledge sharing. This study is expected to provide a sound basis for understanding the importance of knowledge sharing to gain organizational as well as individual competitiveness and exploring ways to effectively share knowledge through enhancing the use of KMS in organizations.

• Information Systems Review
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• v.12 no.1
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• pp.107-130
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• 2010

Knowledge management strategy is considered a key determinant of successful knowledge management. However, theoretical and empirical researchers disagree on how knowledge management strategies improve firms' performance. The inconsistent results of prior studies may be attributed to the fact that complementary relationships among knowledge management strategies have not been adequately taken into consideration. While the previous literature has focused on investigating the impact of knowledge sourcing strategies on firms' performance one-at-a-time, in reality firms adopt several different knowledge management strategies together. By drawing on complementarity theory, this study revisits this research problem and develops three complementarity hypotheses. Surveys collected from 139 firms in Korea were analyzed to test the hypotheses by using super modularity function. The results confirmed complementary relationships between system- and person-oriented, and between internal- and external-oriented knowledge management strategies. Our results found no complementarity among the four different knowledge management strategies. This study sheds new light on knowledge management research by developing a new conceptual framework and using advanced analytical approaches to explore the relationship between knowledge management strategies and firms' performance. Implications for practice highlight that a successful knowledge management strategy requires a judicious combination of system- and person-oriented, or of internal- and external-oriented knowledge management strategies.