• Title/Summary/Keyword: corporate business

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A Study on the Performance of Design Services in the Export Voucher (수출지원기반활용사업에서 디자인 서비스의 성과에 관한 연구)

  • Lee, Sungsu;Ahn, Jinho;Kim, Injun
    • Journal of Service Research and Studies
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    • v.10 no.2
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    • pp.31-42
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    • 2020
  • This study is a study on the performance of design services among export voucher projects. In particular, we have identified the actual state of use of design services from the perspective of participating companies and the corresponding problems. The purpose of the study is to provide basic data for the preparation of successful support plans in the field of design services. This study designed a quantitative survey to measure accurate performance of design services using archive records, and the survey was sent three times in total to 135 participating companies. A significant achievement of design services the study found is that the role of design were important in the export of the nation's main industries such as medical/biological/healthcare and electrical/electronic products. In addition, we could see that all participating companies were using design services regardless of the difference in sales. In particular, 96% of participating companies answered that the design service effect was the most effective service. As a result, it proved the importance of design services in export voucher projects, and suggested the importance of introducing a management system as a direction for the development of design services in future export voucher projects. He majored in advertising design at Hongik University's Graduate School of Industrial Art and at the Korea Institute of Design Promotion. It carries out the government's design policy such as design research, design education, and corporate design support. He is currently working as an Invited Designer by Korea Design Exhibition.

An Empirical Study on the Adoption of Technology Acceptance Model in The Port Logistics Service (항만 물류서비스의 기술수용모델(TAM) 적용에 관한 실증적 연구)

  • Lee, Je-Hong
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.13-35
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    • 2011
  • The advancement of the information technology provides a wide range of corporate to cope with new business environments that are different in size, life and operation conditions. The Research methodology used in this study is Technology Acceptance Model. The Study Method are mainly survey and questionnaire. The major result of article can be summarized. Its are as the follows: This paper ware investigated the determinants of 'port service quality', 'perceived usefulness', 'perceived ease of use', 'utilization intention', 'practice use'. There are 400 sended samples and 150 returns, 173 of them are analyzed on a port utilization using TAM model. 1. The Port service quality are found to have a positive effect to 'perceived usefulness', 'perceived ease of use', 'utilization intention' 2. The perceived ease of use are found to have a positive effect to 'perceived usefulness', 'utilization intention' 3. The perceived usefulness is found to be positively related to 'utilization intention' 4. The utilization intention is found to have a positive effect to ''practice use' we hove to provide useful contribution to increase the Korea ports' competitiveness in introduction of port information system. In addition, in order to port development offer some insight in further research.

Service R&D Strategies in the Era of Boundless Industries (산업간 경계해체 시대의 서비스R&D 전략)

  • Kim, Hyunsoo
    • Journal of Service Research and Studies
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    • v.7 no.2
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    • pp.79-90
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    • 2017
  • The current research investigates the service R&D strategies from the service's nature perspectives. In the current economy, manufacturing and service industries are becoming boundless, and thus, they are competing with each other in a customer-centric environment. Because customers' needs and wants are realized through services, service industry has become one of the most important industries in the world. However, there have been conflicting opinions about service R&D policies due to different definitions of services. The current research specifically focuses on the nature of services to discuss strategies for service R&D. Service R&D strategies are suggested considering the nature of the current economy where industries are becoming boundless. In addition, the current research considers the service's relational, bidirectional, horizontality, and harmonization nature of services, and also, intangibility, inseparability, heterogeneity, perishability were considered in suggesting strategies for service R&D. For manufacturing industries, strategies to strengthen servitization R&D were proposed, and for service industries, strategies to strengthen manufacturization R&D were proposed. The results from the current research can be used for developing corporate service R&D strategies, and developing policies for developing both service and manufacturing industries in the current economy.

Supporting Market Entry Decisions For Global Expansion Using Option +Scenario Planning Analysis (실물옵션 및 시나리오 분석을 활용한 해외 건설시장 진출 의사결정 지원모델의 개발)

  • Kim, Byung-Il;Kim, Du-Yon;Han, Seung-Heon
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.5
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    • pp.135-147
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    • 2009
  • The world has witnessed the dramatic expansion of international construction markets during the last decades, particularly around the developing economies and energy resource-rich countries. However, despite the booming markets, the risks of emerging regions have also increased under the rapidly changing environments confronting the global contractors. Most of all, success in overseas business mainly depends on selecting the right market to enter. Accordingly, the right market selection requires global firms to carefully carry out the scientific market entry decision by evaluating country risks, market prospects, firm's capability, level of competition, and among others. This study aims at developing a market entry model by the use of real option analysis (ROA) and scenario planning, which addresses the corporate strategic flexibility against the uncertainties encompassing the overseas construction markets. Based on the suggested approach, global contractors are expected to make a better decision rather than a typically static approach in pursuing, postponing, or abandoning a prospective market to their capacity with a concurrent consideration of uncertainties as well as its option value.

The Effect of Perceived Organizational Supports, Perceived Supervisory Supports and Perceived Peer Supports on Innovative Behavior: Focused on the Job Embeddedness of Automotive Industry Research Institute Using VR Technology

  • Dai, Hao;Zhang, Hao
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.139-147
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    • 2019
  • In this paper, we propose to explore ways to create internal motivation to enhance the job disposition of Korean and Chinese employees. In order to achieve this goal, we would like to select parameters that may trigger an increasing number of internal motivations for interest in recent years: perceived organisational support, perceived provider support, and perceived peer support, and to explore the impact on job embeddedness. I would like to find out the effect of job embodiedness on involved beauty. The process also seeks to verify that China and South Korea are different. To verify the research theory of this research, we will use a questionnaire to researchers of automotive companies using VR technology in Gyeonggi-do, Korea and Hadong-seong, China, and conducted a survey. A total of 200 pairs of questionnaires were distributed to the study subjects, 195 of which were retrieved, 191 of which eliminated unfaithful responses were used for the final analysis. The collected data were used for frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, correlation analysis, structural equation analysis. The results of this study, identified through empirical analysis, can be summarized as follows: First, Perceived Organizational Support, Perceived Supervisor Support will have a positive impact on Job Embeddedness. Second, Job Embeddedness will have a positive influence on the Innovative Beehivior. Third, Perceived Organizational Support, Perceived Supervisor Support will have a partial positive effect on Innovative Behavior. Fourth, the formation process and influence of Job Embeddedness of corporate employees in Korea and China are partly different, the report showed.

A Study on Determinants of Financial Soundness of Savings Banks (저축은행 재무건전성 결정요인에 대한 연구)

  • Bae, Soo Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.277-282
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    • 2019
  • This study analyzed the determinants of the financial Soundness of savings banks. In particular, empirical analysis was carried out on how the loan deposit ratio correlates with financial soundness after restructuring. As the restructuring of savings banks was finalized in 2014, asset management changed and it is time to analyze the financial characteristics of savings banks. In summary, the relationship between the savings bank lending rate and the NPL ratio is estimated to have a negative value at the 1% significance level. In other words, the higher the mortgage rate, the lower the substandard and below ratio. It can be said that it is not easy for a savings bank to build an aggressive loan portfolio. In other words, the more difficult it is to finance loans through savings deposits, the more likely the risk aversion tends to be. The higher the corporate loan ratio, average interest expense, and economic growth rate, the higher the risk index. The larger the asset size and the higher the loan growth rate, the lower the risk index. Increasing the mortgage rate may reduce risk-seeking behavior, but it does not mean that it is unconditionally positive for savings banks. Therefore, the loan deposit rate regulation should reduce the incentives for excessive asset expansion and manage preemptive soundness through lending portfolio management.

The Impact on Supply Chain Integration of Competitive Advantage on Information Communication Technology Capabilities (정보기술(ICT) 경쟁우위가 공급사슬통합에 미치는 영향)

  • Kim, Jeong-Hwan;Park, Chong-Suk
    • Journal of Korea Port Economic Association
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    • v.32 no.1
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    • pp.151-163
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    • 2016
  • This research analyzes the effect of the competitive edge in Information Communication Technology (ICT) on supply chain integration in business processes through a comparative analysis by industry that suggests a way of achieving competitive edge in ICT for effective supply chain integration. Based on the theoretical background, there are two research hypotheses. The first hypothesis is about the effect of a competitive edge in ICT on the supply chain. The second is that the effect of the competitive edge on supply chain integration varies from industry to industry. ICT infrastructure must be acquired in advance in order to attain a competitive edge in ICT to secure corporate competitiveness. Building a competitive edge in ICT itself by methods such as introduction, integration, and application, can directly improve company results. Therefore, it must be utilized strategically for improvement in standards of supply chain integration like information integration, organization integration, and strategy integration. If supply chain integration is accomplished effectively by gaining competitive edge in ICT, company results can be improved. By analyzing the effect of a company's competitive edge in ICT on supply chain integration, and comparing differences in features of each category of businesses, measures for developing a competitive edge in ICT and therefore supply chain integration are presented.

A Trend Analysis and Policy proposal for the Work Permit System through Text Mining: Focusing on Text Mining and Social Network analysis (텍스트마이닝을 통한 고용허가제 트렌드 분석과 정책 제안 : 텍스트마이닝과 소셜네트워크 분석을 중심으로)

  • Ha, Jae-Been;Lee, Do-Eun
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.17-27
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    • 2021
  • The aim of this research was to identify the issue of the work permit system and consciousness of the people on the system, and to suggest some ideas on the government policies on it. To achieve the aim of research, this research used text mining based on social data. This research collected 1,453,272 texts from 6,217 units of online documents which contained 'work permit system' from January to December, 2020 using Textom, and did text-mining and social network analysis. This research extracted 100 key words frequently mentioned from the analyses of data top-level key word frequency, and degree centrality analysis, and constituted job problem, importance of policy process, competitiveness in the respect of industries, and improvement of living conditions of foreign workers as major key words. In addition, through semantic network analysis, this research figured out major awareness like 'employment policy', and various kinds of ambient awareness like 'international cooperation', 'workers' human rights', 'law', 'recruitment of foreigners', 'corporate competitiveness', 'immigrant culture' and 'foreign workforce management'. Finally, this research suggested some ideas worth considering in establishing government policies on the work permit system and doing related researches.

Analysis of Geographic Network Structure by Business Relationship between Companies of the Korean Automobile Industry (한국 자동차산업의 기업간 거래관계에 의한 지리적 네트워크 구조 분석)

  • KIM, Hye-Lim;MOON, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.3
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    • pp.58-72
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    • 2021
  • In July 2021, UNCTAD classified Korea as a developed country. After the Korean War in the 1950s, economic development was promoted despite difficult conditions, resulting in epoch-making national growth. However, in order to respond to the rapidly changing global economy, it is necessary to continuously study the domestic industrial ecosystem and prepare strategies for continuous change and growth. This study analyzed the industrial ecosystem of the automobile industry where it is possible to obtain transaction data between companies by applying complexity spatial network analysis. For data, 295 corporate data(node data) and 607 transaction data (link data) were used. As a result of checking the spatial distribution by geocoding the address of the company, the automobile industry-related companies were concentrated in the Seoul metropolitan area and the Southeastern(Dongnam) region. The node importance was measured through degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality, and the network structure was confirmed by identifying density, distance, community detection, and assortativity and disassortivity. As a result, among the automakers, Hyundai Motor, Kia Motors, and GM Korea were included in the top 15 in 4 indicators of node centrality. In terms of company location, companies located in the Seoul metropolitan area were included in the top 15. In terms of company size, most of the large companies with more than 1,000 employees were included in the top 15 for degree centrality and betweenness centrality. Regarding closeness centrality and eigenvector centrality, most of the companies with 500 or less employees were included in the top 15, except for automakers. In the structure of the network, the density was 0.01390522 and the average distance was 3.422481. As a result of community detection using the fast greedy algorithm, 11 communities were finally derived.

Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model (순환 심층 신경망 모델을 이용한 전용회선 트래픽 예측)

  • Lee, In-Gyu;Song, Mi-Hwa
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.10
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    • pp.391-398
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    • 2021
  • Since the leased line is a structure that exclusively uses two connected areas for data transmission, a stable quality level and security are ensured, and despite the rapid increase in the number of switched lines, it is a line method that is continuously used a lot in companies. However, because the cost is relatively high, one of the important roles of the network operator in the enterprise is to maintain the optimal state by properly arranging and utilizing the resources of the network leased line. In other words, in order to properly support business service requirements, it is essential to properly manage bandwidth resources of leased lines from the viewpoint of data transmission, and properly predicting and managing leased line usage becomes a key factor. Therefore, in this study, various prediction models were applied and performance was evaluated based on the actual usage rate data of leased lines used in corporate networks. In general, the performance of each prediction was measured and compared by applying the smoothing model and ARIMA model, which are widely used as statistical methods, and the representative models of deep learning based on artificial neural networks, which are being studied a lot these days. In addition, based on the experimental results, we proposed the items to be considered in order for each model to achieve good performance for prediction from the viewpoint of effective operation of leased line resources.