• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.157-180
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• 2018

This paper empirically analyzes how working conditions of employees and executives affect Korean companies' survival. To this end, a survival analysis based on the accelerated failure time model is conducted from the end of December 2012 to the end of September 2018 on the 2012 year-end financial data for corporations whose common stocks have ever been listed either in the KOSPI market or in the KOSDAQ market with fiscal year ending at the end of December. The analysis shows that the average wage level per employee and the number of executives relative to the number of employees threaten while the average duration of service for female employees prolongs firm survival. Here, the average wage level per employee has turned out to worsen firm survivability regardless of the gender of employees in question while the average duration of service improves firm survivability only in case the employees are female: the average duration of service for male employees or the entire employees has turned out not to have any statistically significant influence on firm survival. The average compensation per executive and the percentage of temporary employees have turned out not to have any statistically significant influence on firm survival while the percentage of female employees has shown statistically significant positive influence on firm survival in some, although not all, models employed in our study. These results are expected to be a good reference in the course of our reaching agreements regarding the improvement of working conditions either between firms and employees or among the members of the entire society.

• STI Policy Review
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• v.9 no.1
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• pp.55-76
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• 2018

This study analyzed the effect of the government R&D subsidy program on long-term firm survival. In order to estimate the average treatment effect for the treated group, we used the survival analysis and matching method by constituting a comprehensive dataset of more than 90,000 observations. The analysis results show that the government R&D subsidy has a negative impact on long-term firm survival. In particular, not only the subsidy does not have a statistically significant effect on firm survival in the relatively short-term, the survival probability of the subsidized firms is statistically significantly lower than the non-subsidized firms after six years. These results can be seen as weakening the justification of government R&D support. There may be problems in the subsidy policy itself and the process of selection of subsidy awardees; however, the more fundamental problem is that the subsidy policy is concluded as the one-time event. Admittedly, it would be difficult for the government to precisely manage the subsidized projects over a long term period. However, in the case of a project in which short-term performance is detected, it would be necessary to provide a step-by-step support to strengthen the firm's competitiveness through further support and continuous development of performance. Of course, mid- and long-term evaluations of subsidy support policy should be performed in parallel with such phased support.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.225-236
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• 2023

Policy implications were derived by comparing/analyzing innovative SMEs and general SMEs that obtained innovation certification from 2015 to 2021 in terms of survival period. Work experience, scale (employment, capital and debt size, sales and operating profit) Korean standard industry classification (2 digit) was used to select general SMEs similar to innovative SMEs. Survival period was calculated by defining suspension, closure and overdue equivalent to default as events. As a result of the survival analysis, innovative SMEs showed a 9.8% reduction in the risk of delinquency compared to general SMEs, indicating that the survival period of innovative SMEs was significantly longer. In addition, it was found that the work experience and size (employment, capital) of SMEs had a positive effect on the survival period, but debt had a negative effect on the survival period. This means that the innovation certification system centered on innovation capabilities and future growth potential is a significant indicator in terms of survival period. As a result, it was concluded that the benefits and support policies provided by the innovation certification system need to be more systematic and sophisticated by reflecting the work experience and industry for the actual growth and survival of SMEs.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.116-121
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• 2022

Digital technology has now pervaded and become an inseparable part of our daily life. The art museum sector is evolving into a business model that adapts to the new digital format due to the requirement for survival and development. This study examines the development state of China's art museum industry and investigates the current business model innovation trend in the art museum industry from three perspectives: reorganization and development of the art museum industry's business model theory; reconstruction of the art museum industry's display and marketing logic; and innovation of the art museum industry's operation mechanism, based on a systematic assessment of domestic and international research. This research can provide reference value for digital technology to drive the innovation of business model in art museum industry. Moreover, the study has important reference significance for the development strategy of art museum industry.

• Journal of Distribution Science
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• v.10 no.3
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• pp.31-42
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• 2012

After the rapidly changing business management environment and financial crisis, high prices and domestic recession in Korea posed threats to the business survival of small and medium enterprises (SMEs). This paper looks at the potential of micro business owners for sustainable development: those who have a spirit of entrepreneurship and the potential to be a hidden champion. Our study of micro business values uses structure equation modeling by LISREL. We have done so in order to understand the foundation of management innovation and success model of micro enterprise by increasing the entrepreneurship and management performance relationship analysis. A micro-enterprise is a type of small business, found only in Korea, often registered as having ten or fewer employees. We examine the successful type of hidden champions and the influence of entrepreneurship on start-ups in business. As compared to past research on the SME entrepreneurship, this study segments small businesses even further. Small business entrepreneurship was classified into three forms that are most appropriate for the Korean situation today: innovation, risk-taking, and pro-activeness. This research is meaningful as it is Korea's first empirical analysis on four business types: wholesale and retail sales, food and lodging business, service business, and manufacturing business. Thus far, research on small business entrepreneurship was carried out using small-scale investigative analysis. However, this research attempted to develop a model that can explain a cause-effect relation of the motivational level when it comes to the difference of entrepreneurship by each business type and small business start-up success factors. Various conceptual and operational definitions could be developed in a diverse and precise manner. Independent variables that are related to the success of small businesses can be developed additionally to examine the success factors related to the systematization in detailed manner. The research showed that the innovation, risk-taking and pro-activeness of the manifested difference in the degree of perception depending on the type of small businesses. Among the four business types, the ones that manifested the highest successful start-up rates were food, service, wholesale and retail sales and manufacturing. Results after conducting the regression analysis are shown on, which proves that the small business entrepreneurship exerts direct effect on the financial management performance of small businesses. In other words, small business entrepreneurship exerts a positive effect on the small business financial success and management performance. The R² value is 0.61. It is possible to know that the perception of systematization and variables on attitude explains the 61% of the success for small self-employed businesses management performance. We define start-up key factors that are helpful to achieve internal growth of firms by finding business survival strategies. The results also focus on Korean government policy for micro enterprise and small business support.

• Asian Journal of Innovation and Policy
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• v.8 no.2
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• pp.302-324
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• 2019

Family business is the oldest and the most prevalent type of entity in the world. In India, 85% of the enterprises are owned and/or managed by families, contributing to two-third of GDP. Thus the survival of family firms, which also generates 79% of private sector employment, is of paramount importance. Effective succession planning and innovation to gain competitive edge are the two key ways to ensure family firm survival. In this paper, the interplay between family succession and innovation is qualitatively studied using case study approach. Successors and Predecessors are interviewed to gain insights in the areas of succession planning and innovation. It is observed that family succession has a positive relationship with innovation, i.e. the presence of founding family members in the ownership and/or management of the enterprise has a positive influence on innovation tendency of the family firms. The findings contribute to the family business literature on succession planning and innovation, and their inter-relationship.

• Journal of Distribution Science
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• v.20 no.6
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• pp.57-66
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• 2022

Purpose: Business agility is an important key to survival for SMEs in Indonesia, especially during the COVID-19 pandemic. Indonesian local product distribution and service distribution are mostly served by SMEs. Agile businesses will be able to assist them in the proper distribution of products and services. This research examines how the direct and indirect influence of IT capabilities on business agility through organizational learning and business intelligence for small and medium enterprises in the distribution of Indonesian products and services. Research design, data and methodology: This research uses SEM method with SmartPLS tool. The sample of this research was conducted on small and medium enterprises in the distribution of Indonesian products and services. The sample obtained in this study was 202 SME owners or managers (strategic level). Results: Business intelligence plays a key role in improving business agility. The results of IT capability can directly and indirectly affect business agility through organizational learning. Conclusions: Business intelligence has the biggest role in increasing business agility in SMEs in Indonesia. IT capability has an indirect effect on business agility through organizational learning. The findings of this study prove that IT capabilities do not indirectly affect business agility through business intelligence.

• Korean small business review
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• v.43 no.3
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• pp.1-20
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• 2021

The survival period according to technological capability was analyzed for about 22,500 innovative SMEs in the service industry. The survival period was defined as the occurrence of overdue and default, and the technological capability was divided into two clusters. As a result of estimating the survival period according to technological capability through Kaplan-Meier analysis, it was confirmed that the estimated survival period of T1-T4 grade service innovative SMEs was significantly greater in both overdue and default. As a result of the analysis of the Cox proportional hazard model applying the control variable, it was confirmed that the higher technological capability, the lower the risk in the group of start-up companies. However, in the group of non-start-up companies the technological capability did not significantly affect the survival period, and the influence of the variables related to the size of the company was found to increase. Therefore, the technological capability is meaningful as additional information that has a significant effect on the survival period of innovative SMEs in the start-up companies group of service industry. In addition, it was concluded that it is necessary to reflect the technological capability when establishing the SME support and promotion policy of the start-up companies group in the service industry.

• World Technopolis Review
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• v.4 no.4
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• pp.222-237
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• 2015

Business plan competitions and related education are common activities to regions that are, or desire to be, important innovative and start-up regions. The literature is contradictory regarding the value of formal business plans (FBPs) toward venture planning, capital acquisition, and education. This study analyzes the relevant literature and sample of 35 FBPs to assess these contradictions. We propose the theoretical constructs of "myth and ceremony" to explain the loose coupling of FBPs to real business environments, an observation consistent with theory that suggests organizations perpetuate the myths of their institutional environment to maintain their legitimacy. We offer Action Business Planning as an alternative to more accurately address the realities of venture creation and survival, and for education.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.459-463
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• 2024

Frequent closures among self-employed individuals lead to national economic losses. Given the high closure rates in the restaurant industry, predicting changes in this sector is crucial for business survival. While research on factors affecting restaurant industry survival is active, studies predicting commercial district changes are lacking. Thus, this study focuses on forecasting such alterations, designing a deep learning model for Seoul's administrative district commercial district changes. It collects 2023 and 2022 second-quarter variables related to these changes, converting yearly fluctuations into percentages for augmentation. The proposed deep learning model aims to predict commercial district changes. Future policies, considering this study, could support restaurant industry growth and economic development.