• Knowledge Management Research
• /
• v.18 no.3
• /
• pp.81-99
• /
• 2017

This study is to compare the main subjects of domestic and foreign knowledge management research in terms of keywords and to clarify whether domestic knowledge management research reflects research trends in overseas knowledge management research. Specifically, we try to find out whether the central activities such as knowledge sharing, knowledge generation, and acquisition, which are knowledge management activities of knowledge management research, are being studied without bias. In order to analyze this, we analyzed the data of domestic and foreign knowledge management research for the last 5 years from 2012 to 2016. In Korea, the Knowledge Management Society of Korea collected 167 papers and 787 keywords, and collected 132 papers and 640 keywords from the Korea Society of Management Information Systems in order to distinguish the research areas. Overseas papers collected 315 papers and 1,746 keywords published by Emerald. Also, we collected 382 papers and 1,633 keywords in the Korean Management Review and collected 646 papers and 2,879 keywords in the Korean Business Education Review. Frequency analysis and network analysis of 1,642 papers and 7,685 keywords are summarized as follows. The Knowledge Management Society of Korea has focused on knowledge sharing, and in 2016, interest in knowledge transfer and knowledge search has shifted. The Journal of Knowledge Management, which is published by Emerald, has been a major concern for knowledge transfer and knowledge sharing. The research trends of the Korea Society of Management Information Systems to distinguish a clear identity of knowledge management research are focusing on smart area and mobile domain such as information security domain, cloud, smart phone, and smart work. In the Korea Society of Management Information Systems research, the main subject of knowledge sharing is also commonly found.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.6 no.4
• /
• pp.13-24
• /
• 2018

Purpose - This study investigates the moderation effect of internal factor, a firms size, on the external knowledge sourcing strategy and its effectiveness in generating radical innovation. We incorporate concepts of breadth and depth as two measures to gauge the degree of openness in firms external search Research design and methodology - The dependent variable in the regression model is the percentage of innovative sales and therefore, Tobit regression is employed for estimating significant factors affecting on the ratio of first-to-market by breadth and depth in external knowledge, internationalization, and size. Results - The results show that the external knowledge, in terms of both breadth and depth, has a positive relationship with radical innovation. However internationalization as external knowledge resources is not statistically accepted. Firm size has moderating effect on innovation negatively only in case of using external knowledge resources to a high degree. Conclusions - Firms obtain external information mostly from customers, competitors, and suppliers etc. empirical knowledge in terms of scope and intensity is an important contributor to innovation. And intensity use of external knowledge and information resources can work in favor of smaller firms rather than larger ones. Internationalization seems to have little effect on innovation but it requires further researches with clear criteria and more data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.1
• /
• pp.1-13
• /
• 2014

This study examines the relationship between firms' external search strategy and their innovation performance. In addition to revisiting the relationship between open search strategy and product innovation, we further extend the impact of use of external knowledge sources to process and organizational innovation. Using the 2010 Korean Innovation Survey (KIS) of manufacturing firms, we report that on average, venture firms search more widely (external search breadth) and deeply (external search depth) across a variety of external search channels than non-venture firms. We then further explore the impact of venture and non-venture firms' use of external search strategies on innovation performance. We find that both searching widely and deeply increase the likelihood of non-venture firm's successes in product, process and organizational innovation. Similar results can be found for the venture firm's success in organizational innovation. However, only searching deeply increases the likelihood of venture firms' success in product and process innovation.

• The Journal of Information Systems
• /
• v.19 no.3
• /
• pp.149-179
• /
• 2010

This study empirically investigated the effects of both organizational culture(i.e., innovative, supportive and bureaucratic) and information technology(IT) infrastructure(i.e., knowledge storage, transfer and search IT) on the knowledge management(KM) activities(i.e., knowledge creation, sharing and application) in Korean manufacturing firms. We also partially demonstrated the impact of KM activities on the KM performance(i.e., KM satisfaction) of a firm. Through multiple regression analyses, it was found that innovative and supportive culture, and IT infrastructure have a positive impact on the activation of KM activities. The results of this study also showed that the innovative and supportive culture positively influence the adoption of IT infrastructure, and through the construction of IT, they have an indirect effect on KM activities. With a structural equation modeling technique, the causal relationships among organizational culture, IT infrastructure, knowledge management activities, and KM performance were confirmed. Hence, it is concluded that culture and IT infrastructure have direct effects on KM activities, and culture also indirectly influences KM activities through the adoption of IT infrastructure.

• The Journal of the Korea Contents Association
• /
• v.11 no.5
• /
• pp.50-56
• /
• 2011

This paper proposes 3D visualization method of compound knowledge which will be able to identify and search easily compound knowledge objects based the multidimensional relationship. For this, we structurized a compound knowledge with link and node which become the semantic network. and we suggested 3D visualization method using SOM. Also, to arrange compound knowledge from 3D space and to provide the chance of realistic and intuitional information retrieval to the user, we proposed compound knowledge 3D clustering methods using object similarity. Compound knowledge 3D visualization and clustering using SOM will be the optimum method to appear context of compound knowledge and connectivity in space-time.

• Bulletin of the Korean Chemical Society
• /
• v.13 no.2
• /
• pp.155-157
• /
• 1992

Extensive search over the energy surface of bicyclo[4.2.2]decapentaene with MMP2 molecular mechanics method and AM1 semiempirical MO method revealed only one, deep energy minimum structure, which corresponds to 1. The alternative structure 2 could not be identified as a stationary point. Although the deviation of benzenoid ring from planarity is large in the energy minimum structure (${\phi} = 26^{\circ}$(MMP2), $37^{circ}$ (AM1)), the bond lengths show no severe alternation.

• Archives of design research
• /
• v.20 no.3 s.71
• /
• pp.203-214
• /
• 2007

This study proposes an information retrieval method reflecting the user's preferences based on the fuzzy set theory to develop information contents which support pedestrian's navigation. Firstly, the research evaluated subjects' preferences on commercial spaces set to a hypothetical destination. Also it surveyed the causal relationship between the visual characteristics and the emotional characteristics to propose methods of Navigation Knowledge Base (NKB). The NKB was composed of three elements; 1. the correlation model between emotional characteristics, 2. the causal relationship between visual characteristics and emotional characteristics, 3. the transformation model between visual characteristics and the physical characteristics. Secondly, this study classified the pedestrian's destination search into 4 types with his or her preferences and the time conditions limited during navigation. For each type it presented the Destination Search Algorithm (DSA). Finally, the research simulated the destination search in 4 navigation types using NKB and DSA and verified the availability of the information retrieval method reflecting pedestrian's preferences. In conclusion, the proposed information search method will be applied to reflect the user's preferences to develop information appliances.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.48 no.6
• /
• pp.800-806
• /
• 1999

This paper proposes IIKBAG(Intelligent Interlocking Knowledge Base Generator) which can build automatically the interlocking knowledge base utilized as the real-time interlocking strategy of the electronic interlocking system in order to enhance it's reliability and expansion. The IIKBAG consists of the inference engine and the knowledge base. The former has an auto-learning function which searches all the train routes for the given station model based on heuristic search technique while dynamically searching the model, and then generates automatically the interlocking patterns obtained from the interlocking relations of signal facilities on the routes. The latter is designed as the structure which the real-time expert system embedded on IS(Interlocking System) can use directly in order to enhances the reliability and accuracy. The IIKBAG is implemented in C computer language for the purpose of the build and interface of the station structure database. And, a typical station model is simulated to prove the validity of the proposed IIKBAG.

• Journal of the Korean Society of Safety
• /
• v.11 no.3
• /
• pp.143-153
• /
• 1996

Shutdown of boiler plants is a dynamic, complicated, and hazardous operation. Operational error is a major contributor to danserous situations during boiler plant shutdowns. It is important to develop an automatic system which synthesizes operating procedures to safely go from normal operation to complete shutdown. Knowledge representation for automatic shutdown of boiler plants makes use of the hierarchical, rule-based framework for heuristic knowledge, the semantic network, frame for process topology, and AI techniques such as rule matching, forward chaining, backward chaining, and searching. This knowledge representation and modeling account for the operational states, primitive operation devices, effects of their application, and planning methodology. Also, this is designed to automatically formulate subgoals, search for positive operation devices, formulate constraints, and synthesize shutdown procedures in boiler plants.

• Journal of Fashion Business
• /
• v.12 no.1
• /
• pp.63-75
• /
• 2008

The purpose of this study was to identify purchasing behavior and attitudes toward naturalistic cosmetics according to women's LOHAS lifestyle. Self-administered questionnaires were distributed to 500 women aged 19-59. SPSS was used for data analysis. The results were as follows: 1. Factors of LOHAS lifestyle were social consciousness, reduce resources, family centered, individuality & environmental consciousness, healthy food life, and information search. Women were clustered into bad-being group, environmentalists, LOHAS group, well-being group, and individualists. 2. Most women had a bit of knowledge and experienced naturalistic cosmetics. Over 85% of women had intention to use naturalistic cosmetics. 3. Bad-being group and individualists included university women and had little knowledge and experiences of naturalistic cosmetics. LOHAS group and well-being group included more career women with higher education, had more knowledge and experiences. 4. Knowledge and experiences of naturalistic cosmetics were the most effective factors on the use intention of naturalistic cosmetics.