• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.781-786
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• 2021

Korean domestic workers are trend to avoid harmful and dangerous jobs calls 3D work due to the poor working conditions. Therefore, the incoming population of foreign workers is increasing to fulfill the required labor force. Mostly these foreign workers are placed in small and medium-size industries. As work that induces musculoskeletal disorders(WMSD) is equally exposed to domestic workers as well as foreign workers, this study attempted to investigate the work burdened by musculoskeletal disorders and derive improvement measures by understanding the actual conditions of the worksites of foreign workers. The result of this investigation defines that the possibility of developing musculoskeletal disorders is very high in the environment in which more than 40% of the respondents work with heavy objects and repetitive work of wrists and elbows. To prevent the symptoms of musculoskeletal disorders among foreign workers, three measures were proposed. To reduce the mandatory check-up period of WMSD under the Occupational Safety and Health Act, to revise the employment permit system, and to enhance the practical help of EPS education. Safety and health management of foreign workers is becoming an essential task not only for securing a workforce but also for the national image. Personal and economic losses at the national level should be minimized through policy support such as financial support for small and medium-sized businesses in Korea and supplementation of legal systems for the protection of foreign workers.

• Journal of Distribution Science
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• v.14 no.10
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• pp.153-164
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• 2016

Purpose - In general, large companies have larger organizations, funds, and systems to provide more effective and efficient services in the market. However, development needs to support the livelihood of ordinary citizens who work for small businesses as well. This research suggests that a new distribution channel, called a "foothold style Kosa mart," that cooperates jointly with a distribution center and a large discount mart can provide direct solutions to small and mid-size distributors. This new distribution channel can achieve a limited type of "Nadle shop (small supermarket) foster project" related to building a joint distribution center and improvement in wholesale supply. Research design, data, and methodology - Data about the Korea distribution situation, the Nadle stores, and the logistics centers were collected from literature, Statistics Korea, journals, and reports. Specifically, we investigated information about Kosa Mart and Nadle stores. We focused on the redesign of the distribution center for the Nadle store. Results - The Kosa Mart distribution center now includes 18 warehouses, and has been handling 2000-3000 items. Most of the warehouses have been simply designed and items loaded and stored without refrigeration; thus, it is possible to store only products of certain manufactured goods. The current logistics center has no wholesale function because it failed to resolve the joint purchasing and product supply issues of competitively priced products. Conclusions - This study aimed to identify ways to strengthen the competitiveness of small- and medium-sized retailers. A Kosa Mart redesign aims to unifying the logistics center, stores, and customers. First, the joint wholesale logistics system, equipped with an integrated ordering system, needs to process customer orders and store orders at the same time. Second, excellent small business product development has to connect with production. Third, the store composition needs to support a shipping hub. Fourth, the Mart differentiates itself from convenience store goods by supplying regional and specialized products to customers. Fifth, a service buying agent and direct transactions between producers and consumers need to be established, and exhibits and displays of goods need to be improved.

• Information Systems Review
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• v.23 no.1
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• pp.135-154
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• 2021

In the network economy, the informatization of Small and Medium enterprises(SME) plays an important role in determining productivity while being competitive in the businesses. Informatization of SME has become important along with the recent trend of the fourth industrial revolution. Based on the IT Business Value Model, this study analyzes the key factors of information service of SME with the structure model. In addition, multi-level model was conducted by dividing the layers according to the size of the SME. The analysis confirmed that complementary organizational resources are a key factor in determining the informatization of SME. In addition, the effect of informatization of SME on the scale of SME varies depending on the type of entry into the industrial complex.

• Korean small business review
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• v.43 no.1
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• pp.1-33
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• 2021

This study explores differential value implications of R&D expenditure across firms, especially in terms of growth potential of small businesses. Analyzing Korean listed firms for the period from 1982 to 2014, we document the followings. First, large firms, defined as the top quintile group based on market capitalization, have spent higher R&D expenditure compared to small (bottom quintile group) and medium (middle quintile groups) firms and the difference between groups has enlarged over time. Relatedly, the persistence of R&D spending, measured by the association between current R&D expenditure and cumulative future R&D expenditure over the next five years, is lowest in small firms. Second, R&D of large (small) firms are more (less) likely to generate operating profits over the next five years. Additional analyses suggest that the relation between R&D and gross margin is strongest in large firms, suggesting that R&D underlies their competitiveness in the product market. Third, small firms have borne the highest uncertainty related to R&D investment proxied by the association between current R&D and volatility of future earnings. As a result, the likelihood of R&D leading to future patents is also lowest in small firms. Fourth, the probability of moving up to the next size group within the next five years is significantly lower in small firms than others. Finally, we find that the divergence in R&D expenditure between large and small firms is positively associated with product market concentration. Overall, our findings confirm the small business growth trap in relation to R&D investment.

• Korean Journal of Organic Agriculture
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• v.32 no.2
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• pp.161-182
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• 2024

The purpose of this study is to highlight overseas reductions as one of the measures to achieve Korea's 2030 NDCs, and to derive factors to promote overseas greenhouse gas reduction projects. To this end, a survey was first conducted on greenhouse gas management companies, which are the main entities for reducing greenhouse gas emissions. The contents of the survey are divided into three categories: awareness of greenhouse gas reduction projects, institutional and technical sectors, and government support and difficulties. Specifically, the perception section on greenhouse gas reduction projects examined the greenhouse gas reduction methods currently implemented or under consideration in the future. In the area of government support and difficulties, difficulties in promoting overseas greenhouse gas reduction projects were investigated. The results of the analysis using the probability selection model are as follows. First, the greater the greenhouse gas intensity, the degree of dedicated manpower, and the larger the size according to the company's business field, the higher the interest in overseas reduction projects. Second, there was discrimination in the method of reducing greenhouse gas emissions according to the size variables of the company, the degree of greenhouse gas intensity, the degree of having dedicated manpower, and the business field. Lastly, in the case of small businesses, difficulties in business promotion due to the lack of greenhouse gas reduction technology were found to be the biggest cause than other problems. Therefore, it is necessary to induce the reduction of greenhouse gas emissions by introducing foreign technologies to support greenhouse gas reduction technologies for small and medium-sized enterprises, and to provide support such as training courses for professional manpower and the operation of portals for information provision at the government level.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.567-582
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• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2376-2381
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• 2014

The necessity for co-prosperity between large and small businesses has emerged as a top policy priority as economic polarization has been exacerbated since the 2008 global financial crisis. Against this background this paper makes a detailed analysis of differences between SMEs (Small and Medium sized businesses) and large enterprises located in Gyeong-do, in respect of growth. The data set used in the analysis is the 15 year(1996-2010) panel data of IT companies (large enterprises: 80 data and SMEs: 437 data) collected from the KISVALUE database. The estimation results of Pooled OLS indicate that the coefficients representing corporate size are less than 1, which implies that the Gibrat's law, no correlation between the size of a firm and its growth rate, is not supported by the data. In the meantime, the estimated coefficients representing corporate age are negative, which implies that Jovanovic hypothesis, inverse correlation between the age and the growth rate of a firm, is consistent with the data. In short, SMEs, which are generally younger than big enterprises can achieve higher growth rate than the latter ones which are usually believed to be older. In addition, the more export- and innovation-oriented the firm, the higher its growth rates.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.193-198
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• 2008

Now days with the significant grows of internet and PC hardware/software, most of the business, include small size business and soho, is worked by PC/Network. However these critical changes, all the PC/Network system or service is identical and these make user a inconvenient experience and unpleasant aspect to PC/Network. This research is to segment the user bases on the user context of using PC and all this segmentation was done in contextual design process. From Contextual Interview, all data of user context of environment, use case, needs, voices, break downs were captured and these data were interpreted and filtered to affinity notes and user modeling. After the interpretation, the consolidation was being held by affinity diagram, which could make ready to segment the user. For the result, 3 segmentation was evaluated and which are the 'Holistic Networker', 'Unplugged Controller' and 'Passive Reactor'.

• Journal of Distribution Science
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• v.16 no.6
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• pp.55-63
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• 2018

Purpose - Our Research is a study on the competition structure between retailers in traditional markets. Specifically, this study examined the effects of SSM, commodity supply store, Hanaro mart, food mart and other mart in traditional markets on retail stores of small businesses. The purpose of this study is to provide a solution to the market encroachment of large retailers in traditional markets. Research design, data, and methodology - This study is based on the data of 'Market Survey of Traditional Market·Shopping Mall and Store Management in 2016' and 'Current status of SSM(Super SuperMarket), commodity supply store, Hanaro mart, food mart and other mart in the traditional market in 2017' conducted by Small Enterprise and Market Service. In this study, a multiple regression equation was constructed using the number of SSM, commodity supply store, Hanaro mart, food mart and other mart as an independent variable and sales, number of customers as a dependent variable for analysis. Results - The increase of SSM and commodity supply stores in the traditional market affects the sales decrease of the surrounding small merchants in the traditional market. This means that the SSM and commodity supply stores can lead to the decline of the traditional market. However, it has been found that the penetration of these companies in traditional markets does not affect the number of visitors. Second, Hanaro mart's entry into the traditional market has a negative impact on the sales and visitor numbers of the surrounding small-scale merchants. The increase in the number of food mart has a significant effect on the sales and the number of visitors to the small stores. The results of this study indicate that the food mart can contribute to the revitalization of traditional markets. Lastly, other mart with more than medium size were found to affect the sales of small stores, the number of visitors. Conclusions - We examines the competitive structure among retailers in traditional markets. The penetration of large retailers in traditional markets has a negative impact on traditional markets, particularly Hanaro mart has a greater impact than SSM. We provide practical and theoretical implications for the retail competition structure in traditional markets.