• Journal of Korea Trade
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• v.24 no.1
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• pp.99-112
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• 2020

Purpose - With the increasing uncertainty of China's domestic political and economic environment in recent years, Korean MNC subsidiaries in the Chinese market face greater challenges and competition. Based on the insufficiency of existing research and the need for enterprise management practices, this paper uses the Chinese subsidiaries of Korean MNCs as an example to study and explore how knowledge management and dynamic capabilities affect ambidextrous innovation and the relationship between ambidextrous innovation and subsidiary performance. Design/methodology - From January to March 2019, this study collected 341 valid questionnaires using a survey company specializing in China for the members of the Chinese subsidiaries of Korean MNCs to verify the hypotheses. Using the collected data, the study model was verified using the Smart PLS 3.0 statistical package. Findings - Knowledge transfer and knowledge sharing have positive effects on dynamic capabilities and ambidextrous innovation, and dynamic capabilities have a positive impact on ambidextrous innovation. Ambidextrous innovation has been shown to have a significant effect on subsidiary performance. In addition, a partial mediating effect of dynamic capabilities on the relationship between knowledge management and ambidexterity innovation was found. Originality/value - In the academic context, this paper contributes theoretically to the relationship between knowledge management and ambidextrous innovation, as well as the mechanism of dynamic capability, and to verify the relationship between ambidextrous innovation and corporate performance. Against the background of MNC management, the results of this study provide further enlightenment for managers of subsidiaries.

• 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.

• Knowledge Management Research
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• v.22 no.2
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• pp.55-76
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• 2021

The real estate market is a representative imperfectly competitive market. Real estate information is characterized by being collected and utilized in a closed environment, and market participants have to pay a lot of time, effort, and costs to acquire such information. Korea's real estate public data is increasing year by year, but it is scattered by relevant ministries. So it is difficult to search and analyze, and the level of development of the industry using it is low. In the recent 4th industrial revolution, the proptech industry has developed as an industry to efficiently provide necessary information to the real estate market. In this study, based on the case of major companies in the real estate platform field among proptech companies, we looked at the types of information provided to users, and on the contrary, explored ways to utilize the data collected from users. The results of this study are expected to provide theoretical and practical implications for ways to reduce information asymmetry in the real estate market and contribute to the development of the real estate industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.327-338
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• 2020

This study wants to test the nexus among resource orientation, market orientation, social network, and knowledge sharing toward organizational innovation, and the nexus between organizational innovation and MSMEs performance. Questionnaires and interviews are conducted with some MSMEs actors in Central Java Province, Indonesia, in Klaten Regency and Pekalongan City. These two areas have creative MSMEs, especially Batik MSMEs that have been very large and known worldwide. The sampling technique is done purposively with certain criteria for the respondents. The data analysis technique is done using Partial Least Square. This study provides recommendations about strategic practice and policy (resource and market), social network, and knowledge sharing in increasing organizational innovation, and the impact of organizational innovation toward MSMEs performance. It also offers a comprehensive model of the determinant factor of organizational innovation by considering the aspect of strategic orientation, social network, and knowledge sharing. Other unique aspects that are also important to consider are social network and the importance of knowledge sharing in improving MSMEs Performance. The respondents are still limited in two areas, namely, Pekalongan and Klaten, so it still cannot represent the whole population. These areas also have different orientation of production process approach, namely, synthetic and natural dyes.

• Asia pacific journal of information systems
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• v.17 no.2
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• pp.1-28
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• 2007

The success of new product development is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, market orientation, and competitive environment as the key success factors of new product development. Recently, the role of IT infrastructure in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT infrastructure are lacking. The purpose of this study is to empirically exam the impacts of IT infrastructure on new product competitive advantage. In this study, IT infrastructure is conceptualized as the flexibility of IT infrastructure. Based on previous research, a conceptual model is established by incorporating the direct impact of IT infrastructure flexibility and its indirect impact through the key success factors on new product development. To empirically test the research model, data are surveyed from a pair of IS department and Marketing department of 92 consumer goods manufacturers. By employing PLS technique, the measurement reliability and reliability of research variables are tested and the path analysis is conducted to do the hypothesis testing. The path analysis shows that IT infrastructure flexibility has no direct effect on new product advantage, However, the indirect effect of IT infrastructure is found, which is mediated by marketing capability, manufacturing technical capability, cross-functional integration, and market orientation respectively. Hence, The flexible IT infrastructure increases cross-functional integration (H1), market orientation (H3), marketing capability (H5), and manufacturing technical capability (H6). All success factors of new product development excepts for competitive environment have a positive association with new product competitive advantages (from H10 to H14). Finally, the path from IT infrastructure flexibility to cross-functional integration, to market orientation, to market knowledge capability, and to new product advantage is found as the strongest path. These results indicate that the flexible IT infrastructure enhances information sharing with multiple departments and collaboration within a distributed innovation environment. The collaboration among departments positively affects the level of customer and competitor intelligence. The ability to obtain knowledge about customers and competitors makes firms to adapt to a changing environment quickly and to respond to customers' demands adequately. The flexible IT infrastructure also enhances the capability of organization to more rapidly respond to the changes in product design resulting in faster product development and reduced costs. In addition to, it enhances marketing capability by the two-way communications with customers and the analyses of various kinds of customer data. In brief, the finding of this study suggests that the flexible IT infrastructure allows many firms to pursue sustained new product competitive advantages. This study advances research on IT infrastructure in two important aspects. First, by Integrating marketing research and IS research, this study develops a conceptual model on the role of IT infrastructure in enhancing new product advantage. Second, it empirically finds the indirect impacts of IT infrastructure on new product advantage, which confirms the potential for the IS field to contribute to new product development research. The limitations of this study are also discussed to provide research directions for future research.

• Knowledge Management Research
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• v.22 no.4
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• pp.71-85
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• 2021

The purpose of this study is to find out which artificial intelligence methodology is most suitable for creating a foreign exchange rate prediction model using the indicators of bond market and interest rate market. KTBs and MSBs, which are representative products of the Korea bond market, are sold on a large scale when a risk aversion occurs, and in such cases, the USD/KRW exchange rate often rises. When USD liquidity problems occur in the onshore Korean market, the KRW Cross-Currency Swap price in the interest rate market falls, then it plays as a signal to buy USD/KRW in the foreign exchange market. Considering that the price and movement of products traded in the bond market and interest rate market directly or indirectly affect the foreign exchange market, it may be regarded that there is a close and complementary relationship among the three markets. There have been studies that reveal the relationship and correlation between the bond market, interest rate market, and foreign exchange market, but many exchange rate prediction studies in the past have mainly focused on studies based on macroeconomic indicators such as GDP, current account surplus/deficit, and inflation while active research to predict the exchange rate of the foreign exchange market using artificial intelligence based on the bond market and interest rate market indicators has not been conducted yet. This study uses the bond market and interest rate market indicator, runs artificial neural network suitable for nonlinear data analysis, logistic regression suitable for linear data analysis, and decision tree suitable for nonlinear & linear data analysis, and proves that the artificial neural network is the most suitable methodology for predicting the foreign exchange rates which are nonlinear and times series data. Beyond revealing the simple correlation between the bond market, interest rate market, and foreign exchange market, capturing the trading signals between the three markets to reveal the active correlation and prove the mutual organic movement is not only to provide foreign exchange market traders with a new trading model but also to be expected to contribute to increasing the efficiency and the knowledge management of the entire financial market.

• Journal of Distribution Science
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• v.14 no.10
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• pp.81-91
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• 2016

Purpose - This study proposes a strategic model for the late mover to effectively penetrate an industry that is dominated by a leading company. Thus, this study presents strategic implications for several late movers in overcoming the advantages of the leading company. Research design, data, and methodology - This study begins with a literature review followed by the formation of a strategic model that consists of: Repositioning, Utilization of Competence, Strategic Leadership, and Innovation. Specifically, this research analyzes LG Electronics (LG) as an example and investigates how LG infiltrates and grows in the water purifier market, overcoming the advantages of the powerful leading company. Results - The major steps taken by LG are summarized into four. First, LG studied the market, which had been conventionally treated as a single market. To penetrate the market, LG founded a new, special market segment. Subsequently, LG further segmented the market, executing a marketing strategy for each segment. Second, the unbending will of top managers was a key factor that addressed the challenge persistently. Third, even though LG was the late mover in the water purifier market, it had several technology competences such as compressor, refrigeration cycles, and algorithms. LG had profound knowledge in technology and used it effectively. Fourth, LG created a premium market through three innovative and distinguished factors such as the stainless water tank, sterilization service, and luxury design. Conclusions - This research draws four key findings from the example of the late mover in the water purifier industry: the reestablishment of a strategic position based on environmental change is an effective strategy for the late mover; strategic leadership is an important motive to generate late mover performance; and the late mover can utilize its existing knowledge and resources to overcome the first mover, such as presenting new added value compared to existing products as an effective catch-up strategy. Consequentially, through the study of performance determinants and the market penetration strategy of the late mover, this research has significance in providing basic material for companies trying to penetrate the market.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1-4
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• 2003

Knowledge classification and expression of constructed knowledge have been main research issues in the field of knowledge representation. Constructed design knowledge of the former product loses its utility when new products with different structures are introduced to the market. In order to construct the design knowledge for a new product. designers need to reconstruct the design knowledge with new relationships. The design knowledge has been constructed with level trees, but it is difficult to rearrange the relations. Design DNA is proposed in this work in order to facilitate the rearrangement of design knowledge and give flexibility to knowledge structure. Design DNA is based on Layout-oriented domain knowledge and Function-oriented domain knowledge, which enables to generate new design knowledge that will result in new part geometries for given constraints on the part functions. Design DNA is applied to the design knowledge of lever system of the automatic transmission of passenger cars as an example.

• Knowledge Management Research
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• v.13 no.5
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• pp.139-160
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• 2012

Win-win growth between large companies and small and medium enterprises (SMEs) become a critical encomic and social issue in Korea. Korea government has been attempted to establish strong policy to build right win-win relationship between large companies and SMEs. Along with this strong drive from Korea government, a variety of strategies that enhance win-win relationships between large companies and SMEs have been adopted. Win-win growth policy is expected to provide positive impact on sustainable competitive advantage of firms. Therefore, many studies have focused on the win-win growth policy success factors, type of the policy, and the results of the policy. Although there is much literature on the win-win growth policy, the effects of win-win policy on firm value is not well understood. We addressed this issue by exploring how win-win growth policy influences a firm's market value using event study methodology. We evaluated the cumulative abnormal returns for win-win growth policy announced by Korean large firms from 2004 to 2012. The results of this study insisted that the announcements of win-win growth policy show negative impact on firm's market value, which is not consistent with previous studies. The findings of this study offer insights that may help government policy makers and managers to revise their policy for better outcomes of their win-win growth policy.

• Knowledge Management Research
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• v.19 no.1
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• pp.79-95
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• 2018

The purpose of this case study is to analyze the B2C security information service model using the robo-advisor, to develop various service models and to urge new companies to enter. Overseas robo-advisor service market is growing rapidly with the launch of various B2C service models beyond B2B. On the other hand, as the domestic market is dominated by B2B services and serviced just index portfolio which is nascent, it lacks products which are used for active asset management. Recently as the government announced the approval of online investment advisory service, the B2C market of domestic asset management has entered a growth phase, centered on generations familiar with IT. We propose to extend the concept of Robo-Advisor service in accordance with the financial market change. By that model, we will study the case of the algorithm of the investment masters' philosophy and contribute to the expansion of the B2C service market.