• Title/Summary/Keyword: 비즈니스 컨설팅

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A Study on the Training Plans of SMEs' Origin Management Specialist for the Improvement of FTA Utilization in the Digital Convergence Era (디지털융복합시대, FTA활용도 향상을 위한 중소기업의 원산지전문인력 양성방안)

  • Han, Sang-Ok
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.55-63
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    • 2016
  • Recently, FTA may go beyond the agreement of the two countries, and also FTA is tinged aspects of Mega FTA between the economic sphere, under the situation that FTA and the business model are mutually intertwined in convergence industrial environments. Since South Korea came into force in 52 countries and 15 cases of FTA, South Korea have completed FTA network with the United States, as well as ASEAN and most of OECD member countries, and South Korea is now a critical time to take advantage of the FTA to determine the South Korea's economic performance. This paper examined the previous studies of FTA utilization and analyzed practical usages and problems of SMEs' FTA utilization. Through analysis, this paper suggests that the Training Plans of SMEs' Origin Management Specialist for the Improvement of FTA Utilization is as follows: to build up the effective management system of origin supports, to enrich the origin management competency, to reinforce the operation of supporting system, and to strengthen practical capacity of Origin administrative staff. Based on the results, it is expected to provide the policy implications for the FTA utilization in the future.

A Study on the Business Investment and Operation of O2O (Online-To-Offline) Combined Services by Industry (산업별 O2O 결합 서비스의 비즈니스 투자 및 운영에 관한 연구)

  • Jung, Byoungho;Joo, Hyungkun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.2
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    • pp.93-110
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    • 2022
  • The purpose of this study is to explore business investment and operation of O2O (Online-To-Offline) combined service. The study will analyze the necessary factors for growing the business by dividing the O2O service by industry. The Online-to-Offline is a method of inducing purchases of products and services by connecting between online and offline This research methodology organized the four stages of the analysis process. The analysis of all stages was performed with association rules in big data techniques. It is divided into the start-up period, growth period, maturity period, and decline period, and analysis is conducted on the business investment, expenditure cost, business operation, and conflict factors. As the research result, the first analysis has shown commonality with government subsidies, bank loans, and personal funds in all industries. The second analysis showed a lot of expenditure on labor costs of internal employees, marketing/sales, facility facilities, equipment, and equipment purchase costs. The third analysis showed difficulty in raising the investment resources necessary for business operations in all industries. The last analysis showed conflicts in the industry, businesses license, legal systems, and small business owners in all industries. This study contributed to the abundance and diversity of research methodologies in management information systems using association rules. In addition, the description of organizational development theory was updated while explaining the business investment and operation of O2O combined services. In practical implication, the O2O services include environmental factors that cause convergence between industries. Accordingly, this is required for new O2O services through new laws and systems and reorganization of existing laws and regulations.

A Study on the Development of Stress Testing Model for Korean Banks: Optimal Design of Monte Carlo Simulation and BIS Forecasting (국내은행 스트레스테스트 모형개선에 관한 연구: 최적 몬테카를로 시뮬레이션 탐색과 BIS예측을 중심으로)

  • Chaehwan Won;Jinyul Yang
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.149-169
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    • 2023
  • Purpose - The main purpose of this study is to develop the stress test model for Korean banks by exploring the optimal Monte Carlo simulation and BIS forecasting model. Design/methodology/approach - This study selects 15 Korean banks as sample financial firms and collects relevant 76 quarterly data for the period between year 2000 and 2018 from KRX(Korea Excange), Bank of Korea, and FnGuide. The Regression analysis, Unit-root test, and Monte Carlo simulation are hired to analyze the data. Findings - First, most of the sample banks failed to keep 8% BIS ratio for the adverse and severely Adverse Scenarios, implying that Korean banks must make every effort to realize better BIS ratios under adverse market conditions. Second, we suggest the better Monte Carlo simulation model for the Korean banks by finding that the more appropriate volatility should be different depending on variables rather than simple two-sigma which has been used in the previous studies. Third, we find that the stepwise regression model is better fitted than simple regression model in forecasting macro-economic variables for the BIS variables. Fourth, we find that, for the more robust and significant statistical results in designing stress tests, Korean banks are required to construct more valid time-series and cross-sectional data-base. Research implications or Originality - The above results all together show that the optimal volatility in designing optimal Monte Carlo simulation varies depending on the country, and many Korean banks fail to pass sress test under the adverse and severely adverse scenarios, implying that Korean banks need to make improvement in the BIS ratio.

A Study on the Effect of Career Shock Experienced in the COVID-19 Pandemic on the Level of Subjective Career Success Perception. (코로나19 팬데믹 상황에서 경험한 커리어쇼크가 주관적 경력 성공 인식 수준에 미치는 영향에 관한 연구)

  • Jin Kim;Jong Seok Cha;Na Jung Kim
    • Asia-Pacific Journal of Business
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    • v.14 no.2
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    • pp.85-100
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    • 2023
  • Purpose - The purpose of this study is to identify the factors of shocking events in the career aspect experienced by Korean workers in the context of the Covid-19 pandemic, and to find out whether these career shocks affect individual perceptions of the importance of subjective career success. Design/methodology/approach - In the survey of 146 respondents, the career shock events experienced in the context of the Covid-19 pandemic were largely divided into three categories; 'work change', 'employment anxiety', and 'life anxiety'. For the subjective career success, seven dimensions - 'financial security', 'financial achievement', 'entrepreneurship', 'positive relationship', 'positive impact', 'learning and development', 'work-life balance' - were used. Findings - As a result, there was no difference in the perception of subjective career success due to the experience of 'work change' during the Covid-19 period. However, the respondents who experienced 'employment anxiety' came to recognize that 'financial security' and 'financial achievement' were more increasing in terms of the degree of difference of importance. And respondents who experienced 'lifetime anxiety' perceived that the degree of difference of importance was increasing in the six dimensions except for 'social influence'. Particularly, the increase in the importance of 'work-life balance' and 'positive relationship' was found to be the greatest among the career success dimensions. Research implications or Originality - Finally, it was concluded that changes in the external environment such as Covid-19 pandemic influence as a career shock and affect the level of importance in subjective career success perception. Based on the results, the theoretical implication on current career study and some practical implications for organizational career management were suggested.

TDABC Application Case Study of Compounding Company: TDABC Application and Improvement of Profitability of Company K (컴파운딩 업체의 TDABC 적용사례 연구: K사 TDABC 적용 및 수익성 개선)

  • Dae-Young Lyu;Sung-Wook Yi
    • Asia-Pacific Journal of Business
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    • v.14 no.2
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    • pp.101-118
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    • 2023
  • Purpose - The purpose of this study is to find out how a company can do reasonable cost calculations in a simple way and establish profitability improvement strategies based on the results. Design/methodology/approach - In this study, a case that compounding company K applied TDABC was studied. A case study was conducted on the process of company K reviewing and applying TDABC and the process of implementing the cost calculation for each product by applying TDABC, and establishing a profitability improvement strategy for each product based on the results. Findings - Company K rearranged the production standard information of the compounding industry such as productivity and batch size of each product to apply TDABC. Cost calculation was performed for each product according to the revised production standard information. After the cost calculation for each product was carried out, Company K established a strategy to improve profitability of each product. The profitability improvement strategy was implemented in two ways: a cost reduction strategy and a product price increase strategy. As a result of the final strategy execution, the profitability of each product was improved. Research implications or Originality - This study found a reasonable costing standard in consideration of the specificity of the research target company, and applied it to cost calculation cost for each product. It contains the process of establishing production and sales strategies for each product based on the cost calculation results. It is expected that this case study will serve as a good reference material for establishing cost calculation and profitability improvement strategies in similar businesses.

The Localness and Socio-Economic Foundation of Local Social Enterprises : The Case of Gyeongnam Province in South Korea (지역자원 활용형 사회적기업의 지역연계성과 존립기반 - 경남지역을 사례로 -)

  • Lee, Jong-Ho;Chae, Min-Soo
    • Journal of the Korean association of regional geographers
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    • v.22 no.3
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    • pp.499-514
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    • 2016
  • Social enterprise is defined as a sort of companies that pursue both publicity and profitability. It is usual that their business activities and viability are dependent upon localized resources in terms of a labor market, raw material procurement and sales market. Also, the characteristics and viability of social enterprises based on local resources within the framework of social economy policy. The social economic policy in Korea is generally treated as means of local developments. This paper aims to examine the localness and socio-economic foundation of social enterprises which are located in the west of Gyeongnam province in Korea and to provide policy recommendations for promoting local resource-based social enterprises. The selection of the case study firms was chosen by considering various factors such as the viability of the firm, location of a company and the types of organization. The research result shows that most of local social enterprises had a viability and profitability to effectively utilize local resources. But it is claimed that the government policy for promoting local social enterprises reveals some limitations to promoting effectively local social enterprises. First, it is necessary to limit the qualification of applying to the government support program. Second, financial support should be changed from hardware-centered programs to software-centered programs such as training and education for human resource development and the business consulting. Finally, it is necessary for the government policy to focus on follow-up programs for firms which are no more capable of receiving the government financial support. For these firms, the government policy needs to focus on facilitating activities of cooperation between local universities and local social enterprise.

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An Empirical Study on the Effect of e-Commerce Guarantee Provided in Connection with e-Marketplace on the Management Performance of SMEs (e-Marketplace와 연계되어 제공되는 전자상거래 보증이 중소기업의 경영성과에 미치는 영향에 관한 실증연구)

  • Myung Soo Kang;Chang Hee Han
    • Information Systems Review
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    • v.21 no.2
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    • pp.139-155
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    • 2019
  • Recently, the domestic e-commerce market has achieved remarkable growth through the spread of e-commerce throughout the industry. Nevertheless, the ratio of e-commerce use by our small and medium-sized enterprises has turned out to be very low. The reason for this low participation rate of SMEs in B2B e-commerce market is due to various reasons, but also the lack of empirical performance measurement and evaluation considering the characteristics of B2B e-commerce market in which SMEs participate. Therefore, this study was intended to analyze the effectiveness of B2B e-commerce use of B2B e-commerce to companies that are provided in conjunction with e-Marketplace by public credit guarantee agencies with experience in use. To this end, 14 items related to finance derived through prior research were used to conduct management performance analysis and hypothesis verification from a financial perspective. The implications of this study are expected to be that an empirical performance analysis from the financial perspective of a B2B e-commerce guarantee Utilized company can be used as a basis for policymaking for the activation of the B2B e-commerce guarantee in the future, thus contributing to the establishment of a stable business environment by supporting the expansion of e-commerce by small and medium-sized businesses.

An Ontology Model for Public Service Export Platform (공공 서비스 수출 플랫폼을 위한 온톨로지 모형)

  • Lee, Gang-Won;Park, Sei-Kwon;Ryu, Seung-Wan;Shin, Dong-Cheon
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.149-161
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    • 2014
  • The export of domestic public services to overseas markets contains many potential obstacles, stemming from different export procedures, the target services, and socio-economic environments. In order to alleviate these problems, the business incubation platform as an open business ecosystem can be a powerful instrument to support the decisions taken by participants and stakeholders. In this paper, we propose an ontology model and its implementation processes for the business incubation platform with an open and pervasive architecture to support public service exports. For the conceptual model of platform ontology, export case studies are used for requirements analysis. The conceptual model shows the basic structure, with vocabulary and its meaning, the relationship between ontologies, and key attributes. For the implementation and test of the ontology model, the logical structure is edited using Prot$\acute{e}$g$\acute{e}$ editor. The core engine of the business incubation platform is the simulator module, where the various contexts of export businesses should be captured, defined, and shared with other modules through ontologies. It is well-known that an ontology, with which concepts and their relationships are represented using a shared vocabulary, is an efficient and effective tool for organizing meta-information to develop structural frameworks in a particular domain. The proposed model consists of five ontologies derived from a requirements survey of major stakeholders and their operational scenarios: service, requirements, environment, enterprise, and county. The service ontology contains several components that can find and categorize public services through a case analysis of the public service export. Key attributes of the service ontology are composed of categories including objective, requirements, activity, and service. The objective category, which has sub-attributes including operational body (organization) and user, acts as a reference to search and classify public services. The requirements category relates to the functional needs at a particular phase of system (service) design or operation. Sub-attributes of requirements are user, application, platform, architecture, and social overhead. The activity category represents business processes during the operation and maintenance phase. The activity category also has sub-attributes including facility, software, and project unit. The service category, with sub-attributes such as target, time, and place, acts as a reference to sort and classify the public services. The requirements ontology is derived from the basic and common components of public services and target countries. The key attributes of the requirements ontology are business, technology, and constraints. Business requirements represent the needs of processes and activities for public service export; technology represents the technological requirements for the operation of public services; and constraints represent the business law, regulations, or cultural characteristics of the target country. The environment ontology is derived from case studies of target countries for public service operation. Key attributes of the environment ontology are user, requirements, and activity. A user includes stakeholders in public services, from citizens to operators and managers; the requirements attribute represents the managerial and physical needs during operation; the activity attribute represents business processes in detail. The enterprise ontology is introduced from a previous study, and its attributes are activity, organization, strategy, marketing, and time. The country ontology is derived from the demographic and geopolitical analysis of the target country, and its key attributes are economy, social infrastructure, law, regulation, customs, population, location, and development strategies. The priority list for target services for a certain country and/or the priority list for target countries for a certain public services are generated by a matching algorithm. These lists are used as input seeds to simulate the consortium partners, and government's policies and programs. In the simulation, the environmental differences between Korea and the target country can be customized through a gap analysis and work-flow optimization process. When the process gap between Korea and the target country is too large for a single corporation to cover, a consortium is considered an alternative choice, and various alternatives are derived from the capability index of enterprises. For financial packages, a mix of various foreign aid funds can be simulated during this stage. It is expected that the proposed ontology model and the business incubation platform can be used by various participants in the public service export market. It could be especially beneficial to small and medium businesses that have relatively fewer resources and experience with public service export. We also expect that the open and pervasive service architecture in a digital business ecosystem will help stakeholders find new opportunities through information sharing and collaboration on business processes.

An Analysis of IT Trends Using Tweet Data (트윗 데이터를 활용한 IT 트렌드 분석)

  • Yi, Jin Baek;Lee, Choong Kwon;Cha, Kyung Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.1
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    • pp.143-159
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    • 2015
  • Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.