• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.36-48
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• 2019

As the importance of Knowledge Management System (KMS) in the military increases, Republic of Korea Army (ROK Army) developed Army Knowledge Portal. Although the members in the military are encouraged to use the portal, few members currently use it. This study was conducted to find variables to predict the user's intention to use the portal, which contributes to activating the use of Army Knowledge Portal in the army. On the basis of Technology Acceptance Model (TAM), ten variables such as perceived ease of use, general information security awareness, information security awareness, expectation for external rewards, expectation for relationships, sense of self-worth, attitude toward compliance with security policy, attitude toward knowledge sharing, intention of non-combat knowledge sharing, and intention of combat knowledge sharing were considered as independent variables. 105 participants on active duty who currently use or have experience to use the portal participated in this study. The results indicated that general information security awareness and information security awareness increases compliance with the information security policy. In addition, the attitude toward knowledge sharing is enhanced by expectations for relationship and sense of self-worth. Based on the results, the authors propose the need for policy alternatives to reinforce the reward system and security policy, which activates the use of Knowledge Portal Service for ROK Army.

• Knowledge Management Research
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• v.1 no.1
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• pp.47-64
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• 2000

As the Knowledge Economy grows bigger, studies and practices of knowledge management flourish in almost every organizations. Yet, the studies of fundamental relationships between knowledge and organization have not been sufficiently developed. It is partly because current knowledge management mainly focus on the technical aspects of the theme. This paper tries to find the possible organizing principles and theoretical foundations of knowledge-intensive organizations through the perspective of knowledge market and knowledge community. Based on the differentiation of "knowledge" and "knowing", the author draws several propositions about knowledge creation and knowledge use. Then, the author relates these propositions to the design and implementation of two theoretical models of organizations, i. e. knowledge market and knowledge community. Major claims are: 1) Knowledge use and knowledge creation process are conceptually separable, so that different conceptual models (market & community) need to be applied. 2) Since knowledge use and creation should be integrated, organizations in the Knowledge Economy should be the efficient knowledge market and, at the same time, knowledge community with care and cooperations. 3) The network of independent small KIFs(knowledge-intensive firms) could be considered as the possible organizational model of the future.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.65-90
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• 2005

One of the major goals of using knowledge management systems(KMS) is the sharing of knowledge. The intent of an individual to share his/her knowledge plays a crucial role in sharing quality knowledge in corporations. However, there is little research that addresses this relationship between the intent to share and the use of KMS both from a holistic perspective and with empirical data analyses. To understand major factors that affect both knowledge sharing intent and the use of KMS, we conducted a field study from eight companies in four different industries which had been using KMS for at least a year. Using confirmatory factor analysis and structured equation modeling techniques, we have analyzed the relationships among top management support, trust among peers, trust in the organizational hierarchy, incentives and rewards, knowledge-sharing intent, KMS quality, knowledge quality, and the use of KMS. The research results show that top management support and trust between peers enhance the intent of sharing knowledge. We also found that top management support, knowledge-sharing intent, incentives and rewards, and the quality of knowledge have positive relationships with the use of KMS.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.1
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• pp.73-88
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• 2012

This study examines the role of perceived feedback and motivations on the use for contribution in Knowledge Management Systems (KMS). An individual expects responses from others when he or she posts the knowledge or questions of soliciting knowledge in KMS. If an individual posts a message and there are many responses, motivation to use KMS will develop. Prior research has considered feedback a potential factor that would affect an individual's motivation, such as self-efficacy, but there is few prior works that have tested empirically on how feedback can influence an individual's motivations as well as the use for contribution in KMS. Perceived feedback can be categorized into feedback on posted knowledge and feedback on knowledge request postings. The results of the study show that motivations such as organizational reward, knowledge self-efficacy, and enjoyment of helping, except for social reward, are associated with the use for contribution. Our results also show that among perceived feedback, feedback on posted knowledge affects motivation and use for contribution while feedback on knowledge request postings directly influences the use for contribution.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.4
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• pp.418-427
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• 2008

Purpose: This study was done to investigate the relationship of knowledge related to disease, awareness and practice of inhaler use in asthmatic patients. Method: The participants in this research were 124 patients with asthma who used inhalers, and were admitted to hospital or attended outpatient asthmatic clinics. Data were collected using a self-administered questionnaire which consisted of demographic characteristics, illness-related characteristics, and tools to measure knowledge of disease, awareness and practice related to inhaler use. Results: Knowledge related to disease was statistically significantly different for age (p<.001) and marital status (p=.017). The mean score for awareness of inhaler use was significantly higher than the mean score for practice in inhaler use (p<.001). There were significant correlations between awareness and practice of inhaler use (p<.001), knowledge related to disease and awareness of inhaler use (p<.001), and knowledge related to disease and practice of inhaler use (p<.001). Conclusion: Results indicate that due to the variation in degree of illness in patients with asthma, there is a need to develop appropriate education programs for people of different ages and also precise ${\alpha}$ II content for use of inhalers method of checking capacity washing and storing as well as directions about different kinds of the inhalers.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.173-189
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• 2010

This study empirically explores the relationship among knowledge management success factors (leadership, organizational culture, information technology, measurement, incentive, knowledge quality), knowledge management activities(knowledge creation and knowledge use), and task performance in disaster management area. Findings suggest that (1) organization culture, information technology, incentive and quality of knowledge are significantly related to knowledge creation activities while leadership, information technology, incentive and quality of knowledge are significantly related to knowledge use activities, (2) higher level of knowledge creation is related to high level of knowledge use, and (3) the level of knowledge use activities seems to be significantly related to task performance in disaster management, while knowledge creation activities are not.

• Knowledge Management Research
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• v.20 no.4
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• pp.99-118
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• 2019

Online financial counseling services are increasingly expanding with the rise of artificial intelligence-based chatbots. It is very important to examine the effects of emoticons noted as alternatives for communicating emotions in online communication between consumers and companies. In this paper, we examine how the use of emoticons affects the consumer's response and investigate the moderating roles of type of counseling agents (human vs. chatbot) and the consumer's subjective financial knowledge. The results show that the use of emoticon in the conversation brings a positive effect on the consumer's intention to use of online chat counseling service. When participants had relatively low subjective financial knowledge, they had higher intention to use online chat counseling services with emoticons only when the agent type was chatbot. When the type of counseling agent was human, this positive effect of the emoticon did not occur. On the other hand, when participants had relatively high subjective financial knowledge, they had higher intention to use online chat counseling service with emoticons only when the agent type was human. This study contributes to providing practical implications to build online chat counseling service using chatbot in the financial industry by studying users' intention depending on the type of agents and the level of their subjective knowledge.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.85-97
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• 2010

Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.

• The Journal of Information Systems
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• v.28 no.1
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• pp.41-72
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• 2019

Purpose Virtual communities (VCs) are becoming ever more important in these days, sometimes more than offline communities. Notably, they have become significant sources of knowledge sharing. Therefore, in order to foster a VC, it is very important to understand why people share their knowledge in the VC. Under this background, this paper aims at proposing the behavioral model best explains knowledge sharing activities in VCs. Design/methodology/approach We basically design our behavioral model for knowledge sharing in VCs based on theory of reasoned action (TRA). However, to understand knowledge sharing in VCs better, we specify knowledge sharing by dividing it into knowledge contribution and knowledge use. Also, instead of 'subjective norm', we adopt 'sense of virtual community (SOVC)' as a main social factor, which has been found to be important in the literature. We also include the antecedents such as 'quality of the shared knowledge', 'trust in community members', 'passion of the community leader', 'reciprocity', and 'self efficacy', which affect VC users' attitude towards knowledge sharing and SOVC. To test the hypotheses in our proposed model, we collected 253 valid surveys from the VC users. Structural equation modeling (SEM) using AMOS 23 is employed to assess the relationships proposed as the hypotheses. Findings Major findings are as follows. SOVC positively affects both intention to contribute knowledge and intention to use knowledge. And, trust in community members positively affects the attitude towards knowledge use and SOVC. The attitude towards knowledge use is also affected by the quality of the shared knowledge. Reciprocity is found to strongly positively affect the attitude towards knowledge contribution. However, passion of the community leader and self efficacy are found to have insignificant effect on SOVC and the attitude towards knowledge contribution respectively. Our study sheds a light on how to foster VCs from the perspective of knowledge management.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.249-260
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• 2021

This research explores the effects of intellectual capital on knowledge management processes (creation of information, knowledge sharing, and use of knowledge) and innovation performance. The data was gathered from 224 fashion accessories in Thailand using a questionnaire. The population was collected on December 16, 2019 (https:/www.ditp.go.th) from a list database of the Department of International Trade Promotion, Ministry of Commerce of Thailand (2019). A questionnaire mail survey technique was used to collect data. Executives or managers were the key participants in this study. The statistical technique used to analyze is the ordinary least square regression. The findings show that intellectual capital has a significant positive effect on information management systems. Likewise, information management techniques have a significant positive effect on innovation performance. Moreover, increasing the use of information tends to make staff willing to use the knowledge to improve the quality and quantity of the service. This tendency contributes to productivity gain. Through the interaction of processes of information use, self-reflection, and input from customers, employees tend to increase the production of knowledge that eventually develops the results of the innovation. Hence, organizations should value knowledge management process elements to improve efficiency, and thus innovation.