• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.205-215
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• 2020

The purpose of this paper is to empirically analyze the determinants of foreign subsidiary's local embeddedness because it is critically important for the subsidiary to build a variegated local network. This paper suggests that a MNC's global capability, the degree of autonomy granted by the headquarters of the multinational corporation to its foreign subsidiary, the foreign subsidiary's absorptive capacity based on local environment, and its level of localization will affect the subsidiary's local network embeddedness. The empirical analysis confirmed that when the headquarters gives the foreign subsidiary more autonomy, this has a positive effect on the local embeddedness of the foreign subsidiary and when the foreign subsidiary has a strong absorptive capacity, this has a positive correlation with the local embeddedness of the foreign subsidiary. And this paper found that when the foreign subsidiary has achieved a high level of staff localization, this foreign subsidiary will have a higher level of local embeddedness. This study identified the preceding conditions necessary for a foreign subsidiary of a multinational corporation to effectively embed itself in the local network by analyzing factors related to the multinational corporation's headquarters and subsidiaries, and thus contributes significantly to continued research on the local embeddedness of subsidiaries.

• Journal of the Korean housing association
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• v.12 no.1
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• pp.21-31
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• 2001

This study was conducted to analyze the status of apartment informationalization through the research of distribution of super express network, apartment home pages and Inhabitants awareness. 1st. The construction business launched the full-scale apartment informationalization in 1999. Since then, the infomationalization has been developed multilaterally while the apartment home pages are playing a major role in cooperation with construction business and Internet business. The academic interest and research on the informationalization, however, are not enough. 2nd. The distribution of super express network, which is based on the informationalization is accelerated by the government policy. Especially in our country where the apartment is the major type of housing, we have favorite environment for the informationalization and can create our own housing culture. 3rd. The number of the apartment home pages now is increased to over 6,000, but its contents, know-how, and technique to build the system have not been advanced enough. 4th. So far the home pages have not been able to function well enough to strengthen the community awareness and are likely to result in the unbalanced informationalization. 5th. The study shows that residents interest in the computer and the Internet is fairly high. The utilization of the Internet is varied according to the age, sex, occupation, academic background, income and so forth. Especially they are not as interested in the housing informationalization as in the general information, but the preference of the apartment home pages and the super express network is so tremendous that its distribution will keep the momentum.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.1-19
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• 2023

This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.

• World Technopolis Review
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• v.5 no.1
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Journal of Information Technology Applications and Management
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• v.22 no.4
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• pp.181-203
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• 2015

Customers who show high level of brand loyalty are one of the most important corporate assets. Accordingly, customers' brand loyalty has been addressed as a critical issue for the business success. In today's business environment where business channels to customers have expanded and diversified continuously, especially the use of social network services (SNSs) have drawn a lot of attention as an effective channel to promote customers' brand loyalty. This study, thus, analyzes the impact of the virtual brand community identity on customers' brand loyalty, focusing on the role of the sense of communities as mediators. The analysis was conducted by using the data collected from 239 users of Chinese virtual brand communities. The results show that both virtual brand community identity and the sense of communities significantly influence on customers' brand loyalty. Furthermore, the results reveal that both of the community belongingness and community trust composing the sense of community partially mediate virtual brand community and brand loyalty as hypothesized. Based on the results, the strategic implications are suggested and discussed, focusing on improving the customers' brand loyalty in the context of SNSs. Our findings and discussions can help companies develop their customer strategies for utilizing the virtual communities to strengthen customers' brand loyalty.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.23-27
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• 2018

Korea has a high proportion of self-employment. Many of them start the food business since it does not require high-techs and it is possible to start the business relatively easily compared to many others in business categories. However, the closure rate of the business is also high due to excessive competition and market saturation. Cafés and restaurants are examples of food business where the business analysis is highly important. However, for most of the people who want to start their own business, it is difficult to conduct systematic business analysis such as trade area analysis or to find information for business analysis. Therefore, in this paper, we predicted business status with simple information using Microsoft Azure Machine Learning Studio program. Experimental results showed higher performance than the number of attributes, and it is expected that this artificial intelligence model will be helpful to those who are self-employed because it can easily predict the business status. The results showed that the overall accuracy was over 60 % and the performance was high compared to the number of attributes. If this model is used, those who prepare for self-employment who are not experts in the business analysis will be able to predict the business status of stores in Seoul with simple attributes.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.49-65
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• 2015

As South Korean large business groups, also known as Chaebol, have broadened their influence in the domestic economy, it is important to analyze the influence of internal transactions among Chaebol affiliates on their performance. In this paper, relationship between internal transactions and efficiency of Chaebol affiliates has been analyzed. Top five Chaebol groups in South Korea are selected; they include Samsung, Hyundai Motors, LG, SK, and Lotte group. Based on internal transactions among affiliates, social networks are constructed for each Chaebol group to analyze centrality, network structures and cliques. Data Envelopment Analysis (DEA) was conducted to examine the efficiency of the Chaebol affiliates. Then, correlations between the degree centrality and the efficiency of Chaebol affiliates were analyzed, and the network structures of Chaebol groups are presented. The result shows that positive correlations between degree centrality and efficiency are observed among four Chaebol Groups. This paper shows that the Social Network Analysis (SNA) techniques can be used in the empirical research for the analysis of internal transactions of Chaebol groups.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.51-65
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• 2018

Purpose - This paper aims to identify factors that influence the users' word-of-mouth intention (WOMI) regarding mobile apps, focussing on the impacts of technology acceptance model (TAM) and social network theory. Research design, data and methodology - Based on TAM, this study integrates social network theory into the research model. The 317 sets of data collected in a survey were tested against the model using SmartPLS. Results - Our findings suggest the following: 1) Personal innovativeness positively influences perceived usefulness (PU), perceived ease of use (PEU) and perceived enjoyment (PE); 2) PEU affects PU and PE; 3) Both PU and Satisfaction are directly correlated with WOMI. Although PEU and PE has no direct impact on WOMI, they may indirectly affect WOMI via Satisfaction, as PU, PEU and PE all positively influence satisfaction; 4) Network density and network centrality both play a mediating role in the relation between PEU and WOMI. Referral Reward Program have a positive moderating effect on the relation between PU and WOMI. Conclusions - The findings of this study illustrate the traits of Apps that can promote users' WOMI, as well as the characteristics of people who are more likely to participate in the word-of-mouth process. The findings provide a theoretical basis for app developers to make word-of-mouth a marketing strategy.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.190-194
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• 2023

By looking the importance of communication, data delivery and access in various sectors including governmental, business and individual for any kind of data, it becomes mandatory to identify faults and flaws during cyber communication. To protect personal, governmental and business data from being misused from numerous advanced attacks, there is the need of cyber security. The information security provides massive protection to both the host machine as well as network. The learning methods are used for analyzing as well as preventing various attacks. Machine learning is one of the branch of Artificial Intelligence that plays a potential learning techniques to detect the cyber-attacks. In the proposed methodology, the Decision Tree (DT) which is also a kind of supervised learning model, is combined with the different cross-validation method to determine the accuracy and the execution time to identify the cyber-attacks from a very recent dataset of different network attack activities of network traffic in the UNSW-NB15 dataset. It is a hybrid method in which different types of attributes including Gini Index and Entropy of DT model has been implemented separately to identify the most accurate procedure to detect intrusion with respect to the execution time. The different DT methodologies including DT using Gini Index, DT using train-split method and DT using information entropy along with their respective subdivision such as using K-Fold validation, using Stratified K-Fold validation are implemented.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.271-282
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• 2015

In the business environment BYOD(Bring Your Own Device) is used and being expanded continuously. According to a survey conducted by Cisco in 2012 on 600 companies, 95% of them are already permitting the use of BYOD in their work environments so that productivity of their employees has improved as a result. Gartner predicted that the use of BYOD will be caused new security threat. They also suggested to introduce NAC(Network Access Control) to resolve this threat, to separate network zone based on importance of their business, to establish the policy to consider user authority and device type, and to enforce the policy. The purpose of this paper is to design and implement the NAC for granular access control based on IEEE(Institute of Electrical and Electronics Engineers) 802.1X and DHCP(Dynamic Host Configuration Protocol) fingerprinting, and to analyze the performance on BYOD environment.