• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.366-374
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• 2018

In this paper the relationship between the business performance and the importance perception of management activities is analyzed. The analysis is conducted by dividing the analysis time-frame into before and after the economic recession. In addition, we consider the type of industry and the type of government support policy that the companies participate in. According to the results, the management activities, such as the introduction of domestic external technologies and the release of new products, are to have a significant impact on business performance for both before and after the economic recession. The introduction of foreign external technologies is significant before the economic recession, but after the economic recession the fund raising activity is shown to be significant. Management activities that affect business performance of large/small businesses, IT/non-IT companies, high/low R&D firms and the companies participated in various government support policies are different. In other words, it can be found that the support of management activities that can enhance performance should be done in an appropriate way considering the characteristics of the company rather than being provided to all companies in common.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.2
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• pp.231-236
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• 2020

In today's society, the majority of people use smartphones, and mobile ordering and payment systems for their convenience are gaining their attention. The mobile payment market is on the rise, with over 71% of the market that is already formed in China. Many mobile payment markets are growing in Korea, which is a system that is provided only in large franchises. In this paper, we propose a mobile ordering and payment system using short-range wireless communication technology that can be easily used not only in franchises but also in the small businesses, and for the convenience of users in modern society to make a system that enables ordering and payment through mobile to communicate between the devices developed by short range wireless communication technology, smartphone and the main server.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.291-303
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• 2019

This study analyzed the changes in the industrial environment surrounding the Gumi region and the status of the industrial crisis in the Gumi area amid such changes. The Gumi region is experiencing a more turbulent period than ever in the environment changes at the international, national and local levels, such as the transition to the Fourth Industrial Revolution, the weakening of the competitiveness of key industries including mobile devices and displays, and the moving-out of core companies such as Samsung and LG Group. Accordingly, efforts have been made to diversify the industrial structure by fostering industry of automobile parts, high-tech medical devices and carbon materials to cope with and adapt to environmental changes at the regional level. However, the Gumi region is still locked in to the mono-cultural, large enterprise-dependent industrial structure centering on the mobile and display sectors, failing to overcome the regional industrial crisis and stagnating the overall local economy. The relocation of large companies began to increase in the 2010s, reducing the protection of large corporations against environmental changes at the corporate level. As a result, the crisis factors of small and mediumsized enterprises are gradually expanding to the national and international scale and working more complexly, which is beyond the level they can afford. So it is highly likely that the current industrial crisis will deepen. Therefore, it is necessary to strengthen the resilience to adapt to changes in the environment when it comes to overcoming the industrial crisis in Gumi region. To this end, it is necessary to improve innovation capabilities and diversify businesses based on convergence and complex technologies at the enterprise level, and to be selected as a special crisis response area aimed at creating an innovative ecosystem through autonomous resonance of companies and industries at the local level.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.515-525
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• 2020

The purpose of this study is to suggest implications for the development of the senior care industry in Korea and how to apply it to the Korean market. For this study, a case analysis study was conducted on the successful business model of 'Driving Miss Daisy^®'. For the development of Korea's senior care industry, understanding of senior, establishing infrastructure for community care, and improving the treatment of professional personnel care should be preceded. In order to apply 'Driving Miss Daisy^®' to the Korean market, it was suggested that it is necessary to reduce regulations, develop differentiated services, establish linkage systems with various service institutions in the community, establish cooperative models between large and small businesses and startups.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.83-101
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• 2011

The international standards, ISO 15489 and Family Code, recommend using functional classification method both in public and private organizations. In this study made a comparative analysis of the details of classification systems through case studies on records classification systems of a total of seven comprehensive construction companies in Korea including three large corporations and four small and medium-size businesses. Findings of this study suggester the direction of developing construction records classification system and its methodology. By summarizing classification standards derived from these case studies, key construction records classification standards were presented.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.325-341
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• 2011

Environmental regulations in the world has been strengthened. International Organization for Standardization (ISO) that international standard for social responsibility in the ISO26000 was published on November 01, 2010. CSR is rapidly changing in global environment. In the meantime, domestic companies such as donations to the required activities ought to be stayed. Strengthening the competitiveness of enterprises in the management tools that should be taken as the movement is taking place. The domestic small and medium-sized corporate social responsibility (SMEs CSR) activities have also taken many changes. In particular, multinational corporations and large companies within the supply chain, B2B companies in partnership appears to have a significant impact on business. In this study, in changing environment for domestic SMEs CEO survey results are based. CSR activities of SMEs and its impact on the financial competence, B2B businesses and B2C business activities of corporate social responsibility has been to analyzed the differences factor. This allows the small and medium-sized companies effectively promote socially responsible business activities, to spread the government, corporate, NGO, and local stakeholder's CSR was to provide a new perspective.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.194-200
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• 2021

The beauty industry continued to develop despite the difficult social environment, and in the process, small-scale beauty businesses grew rapidly into large-scale beauty franchises. Therefore, this study was conducted because it was considered that various internal marketing is necessary for workers in the beauty industry. In order to find out what kind of internal marketing has a great effect on job immersion for workers, from February 1, 2021 to March 2021 By the 31st, 220copies out of 250 questionnaires were collected and frequency analysis, reliability analysis, factor analysis, correlation analysis, and multiple regression analysis were performed with spss 22.0. Satisfying internal marketing was a reward system and it was found that it had the greatest influence on job commitment. Therefore, it is considered that the actual internal marketing that workers want should be planned.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.175-186
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• 2023

In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as 'hot places', rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents. However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics. We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.

• Journal of Technology Innovation
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• v.30 no.2
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• pp.29-58
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• 2022

Startups lack resources and manpower to build internal capabilities to strengthen market competitiveness; external cooperation such as joint research and networking plays is important. In this study, we analyzed the effect of startups' industry-university cooperation on organizational learning capability and innovation performance. Empirical results demonstrate the mechanism by which government R&D investment strengthens organizational learning capability and creates innovative results by promoting cooperation between startups and universities. First, industry-university cooperation strengthened organizational learning capability. An empirical analysis shows that startups increase internal capabilities through external cooperation. Second, startups' organizational learning capability had a significant effect on innovation performance. We analyze how organizations with high learning capabilities positively develop corporate innovation performance by having a culture of discovery and sharing new ideas. Finally, industry-university cooperation had different effects on organizational learning capability and innovation performance according to the previous experiences of startup founders. In particular, small- and medium-sized (startup) businesses and individual-based experience groups positively affected the creation of organizational learning capabilities and innovation performance through industry-university cooperation. Small- and medium-sized businesses and individual founders have a relatively small cooperative network with the outside world compared to founders of large companies, universities, and research institutes; therefore, they strengthen organizational learning capabilities through cooperation with universities. This study demonstrates that government should create policy inducements for cooperation with universities to maximize the R&D performance of startups. Criticism exists that lending support to startups and universities will hinder innovation performance; nevertheless, government investment plays a role in expanding intangible resources such as accumulating technologies, fostering high-quality human resources, and strengthening innovation networks. Therefore, the government should appropriately utilize the its authority to strengthen investment strategies for startup growth.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.1-22
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• 2017

Analysis of future business or investment opportunities, such as business feasibility analysis and company or technology valuation, necessitate objective estimation on the relevant market and expected sales. While there are various ways to classify the estimation methods of these new sales or market size, they can be broadly divided into top-down and bottom-up approaches by benchmark references. Both methods, however, require a lot of resources and time. Therefore, we propose a data-based intelligent demand forecasting system to support evaluation of new business. This study focuses on analogical forecasting, one of the traditional quantitative forecasting methods, to develop sales forecasting intelligence systems for new businesses. Instead of simply estimating sales for a few years, we hereby propose a method of estimating the sales of new businesses by using the initial sales and the sales growth rate of similar companies. To demonstrate the appropriateness of this method, it is examined whether the sales performance of recently established companies in the same industry category in Korea can be utilized as a reference variable for the analogical forecasting. In this study, we examined whether the phenomenon of "mean reversion" was observed in the sales of start-up companies in order to identify errors in estimating sales of new businesses based on industry sales growth rate and whether the differences in business environment resulting from the different timing of business launch affects growth rate. We also conducted analyses of variance (ANOVA) and latent growth model (LGM) to identify differences in sales growth rates by industry category. Based on the results, we proposed industry-specific range and linear forecasting models. This study analyzed the sales of only 150,000 start-up companies in Korea in the last 10 years, and identified that the average growth rate of start-ups in Korea is higher than the industry average in the first few years, but it shortly shows the phenomenon of mean-reversion. In addition, although the start-up founding juncture affects the sales growth rate, it is not high significantly and the sales growth rate can be different according to the industry classification. Utilizing both this phenomenon and the performance of start-up companies in relevant industries, we have proposed two models of new business sales based on the sales growth rate. The method proposed in this study makes it possible to objectively and quickly estimate the sales of new business by industry, and it is expected to provide reference information to judge whether sales estimated by other methods (top-down/bottom-up approach) pass the bounds from ordinary cases in relevant industry. In particular, the results of this study can be practically used as useful reference information for business feasibility analysis or technical valuation for entering new business. When using the existing top-down method, it can be used to set the range of market size or market share. As well, when using the bottom-up method, the estimation period may be set in accordance of the mean reverting period information for the growth rate. The two models proposed in this study will enable rapid and objective sales estimation of new businesses, and are expected to improve the efficiency of business feasibility analysis and technology valuation process by developing intelligent information system. In academic perspectives, it is a very important discovery that the phenomenon of 'mean reversion' is found among start-up companies out of general small-and-medium enterprises (SMEs) as well as stable companies such as listed companies. In particular, there exists the significance of this study in that over the large-scale data the mean reverting phenomenon of the start-up firms' sales growth rate is different from that of the listed companies, and that there is a difference in each industry. If a linear model, which is useful for estimating the sales of a specific company, is highly likely to be utilized in practical aspects, it can be explained that the range model, which can be used for the estimation method of the sales of the unspecified firms, is highly likely to be used in political aspects. It implies that when analyzing the business activities and performance of a specific industry group or enterprise group there is political usability in that the range model enables to provide references and compare them by data based start-up sales forecasting system.