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ÇÐȸÁö³í¹® ¸ñÂ÷ LIST |
¾Æ·¡³í¹®Áß¿¡¼ ÁÖÁ¦ ¶Ç´Â ÃʷϺ¸±â¸¦ Ŭ¸¯ÇÏ½Ã¸é ³í¹®ÃÊ·ÏÀÇ ³»¿ëÀ» ¹Ì¸®º¸±â ÇϽǼö ÀÖ½À´Ï´Ù |
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- Kyoung-Chul Kim (Hoseo Graduate School of Venture) - So-Young Lee (Hoseo Graduate School of Venture)
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[³í¹®´Ù¿î¹Þ±â]
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This study empirically examines whether dynamic capabilities influence market responsiveness through the mediating role of artificial intelligence (AI) capabilities in small and medium-sized enterprises (SMEs), and whether this relationship varies across industries. A mobile survey of business managers and innovation practitioners aged 30 and above yielded 188 valid responses. Data were analyzed using SPSS 23 and AMOS 23. The results of the structural equation modeling analysis revealed that dynamic capabilities positively affected market responsiveness, with AI capabilities serving as a significant mediating variable. While partial differences were observed between industry groups in the relationships of AI capabilities with market responsiveness and of dynamic capabilities with market responsiveness; however, no significant difference was found in the relationship between dynamic capabilities and AI capabilities across industries. These results suggest that the advancement of digital transformat ion (DX) across industries has reduced technological adoption gaps, thereby minimizing industry -level differences in the transition from dynamic to AI capabilities. However, industry-specific differences were evident in the AI capabilities ¡æ market responsiveness path: in non-ICT sectors, strategic AI capabilities had significant effects due to physical and structural constraints, while in ICT sectors, only operational AI capabilities showed statistically significant effects owing to technological business transformation capabilities. These findings imply that although DX has narrowed technology adoption gaps across industries, the AI transformation remains in its early stages, and the influence of dynamic and AI capabilities on market responsiveness still varies depending on industry characteristics. Accordingly, for SMEs to adopt and leverage AI effectively, it is essential to assess their industry position and characteristics to establish strategic priorities. Furthermore, government policies related to AI transformation should include tailored support measures based on a detailed assessment of AI application levels and technology acceptance across industries to maximize policy effectiveness. |
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- Yan Zhang (Ewha Womans University) - Joung Hwa Choi (The State University of New York) - Jangwook Lee (Ewha Womans University) - Moon Sub Choi (Ewha Womans University)
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[³í¹®´Ù¿î¹Þ±â]
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In today¡¯s M&A (mergers and acuisiqitions) landscape, acquiring firms with strong ESG (environmental, social, and governance) performance tend to achieve higher investment returns, greater deal success rates, and improved post-merger outcomes. The ESG performance of target firms also positively influences post-merger financial results. ESG considerations now play a critical role in due diligence, integration, valuation, risk assessment, and transaction decisions. This study examines the relationship between ESG performance and M&A outcomes using data from Chinese A-share listed companies (2011-2022). An empirical model constructed with relevant variables employ correlation and regression analyses. Two moderating variables (information asymmetry mitigation and reputation effect) were introduced to explore indirect effects. Key findings include: (1) ESG performance significantly enhances M&A outcomes; (2) acquirers¡¯ ESG performance mitigates information asymmetry, strengthening the positive ESG-M&A link; and (3) ESG-driven reputation effects improve M&A success and long-term market performance. This research clarifies the mechanisms through which ESG contributes to M&A value creation and offers theoretical and empirical support for advancing ESG practices and sustainable economic development. |
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- Heung-Hee Kim (Daegu Gyeongbuk Institute of Science & Technology) - Dae-Geun Kim (Keimyung University)
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[³í¹®´Ù¿î¹Þ±â]
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This study examines the static and dynamic efficiency of SME support programs implemented by 17 regional governments in South Korea over the period 2018-2022. The analysis uses the number of support programs and total budget as input variables, and the number of SMEs, employees, and total sales as outputs. Dynamic efficiency was assessed using the DEA-Window method, while static efficiency for 2022 was evaluated through input-oriented CCR and BCC models. The dynamic analysis revealed that Seoul and Gyeonggi maintained consistently high efficiency scores, whereas Gangwon, Daegu, and Jeonbuk exhibited relatively low dynamic efficiency levels, ranging from 0.3 to 0.5, indicating the need not only to enhance the efficiency of SME support policies, but also to improve the structural stability and sustainability of policy outcomes. In the static analysis, Gyeonggi, Gyeongnam, Seoul, Sejong, and Chungnam achieved full technical efficiency. However, Sejong¡¯s low scale efficiency suggests the need for better alignment between resource input and program scale. Reference set analysis identified Sejong as a benchmark 11 times, followed by Seoul and Chungnam(9 times), and Gyeonggi and Gyeongnam(2 times). This study contributes by presenting the first comprehensive evaluation of SME support policy efficiency at the metropolitan level in both static and dynamic dimensions. Based on the findings, the study offers policy implications including scaling adjustments according to regional returns to scale, wider adoption of integrated program management systems, and targeted monitoring in regions with large efficiency fluctuations. |
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- Jin Sun Kwak (KIRD)
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[³í¹®´Ù¿î¹Þ±â]
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R&D small and medium-sized enterprises (SMEs) are key actors in the R&D ecosystem, responsible for developing technology-based products and services. In this context, strengthening the competencies of R&D SME personnel is essential to enhance national level R&D productivity. This study aims to establish career development stages tailored to the characteristics of incumbent R&D SME personnel and to develop a corresponding training roadmap that systematically supports their competency growth. First, in-depth interviews were conducted with R&D SME personnel and training managers to identify key characteristics and issues in career development. Second, focus group interviews (FGIs) were conducted across different R&D technology sectors to identify major career stages—early career, mid-career, and late career—along with representative career pathways. Finally, an expert workshop was held to develop a training roadmap that emphasizes practical, hands-on technical education. Based on the identified career development stages, the proposed training roadmap presents two differentiated programs: an R&D knowledge fundamental program and an R&D technology specialized program, both emphasizing technical skill enhancement. In addition, the study proposes specific training methods and support strategies to enhance the practical applicability of training in the workplace. |
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- Chong Ook Rhee (Seoul Woman¡¯s Universit)
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[³í¹®´Ù¿î¹Þ±â]
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Using data on the current status, the surveys, and the birth and death statistics of small businesses, we find that even shocks like COVID-19 do not produce a "cleaning effect." Furthermore, to consider the environmental factors that drive small business decision-making, we developed an economic theory model of inter-temporal resource allocation. This model analyzes the management status of small businesses, reflecting future market uncertainty, imperfect competition, industry evolution through market ion, and maximizing consumer welfare through product diversity. This model divides small businesses into three categories: sustainable survival, unstable survival, and exit, based on profit sustainability. A disproportionately high proportion of small businesses in Korea is in the unstable survival zone, while the proportion of sustainable businesses is relatively low compared to advanced economies with a lower proportion of the self-employed. This finding is fully supported by business survival statistics. Three factors of management barriers faced by small business owners in the Small Business Survey¡ª"decline in commercial districts," "intensifying competition," and "raw material prices"¡ªhave consistently appeared in the survey since 2018, providing prior information to entrepreneurs. These factors determine the competitive advantage of the self-employed in a monopolistic competition market, and they represent challenges that the self-employed must address. The degree to which these challenges are addressed will determine their continued survival or exit. To address the minimum wage issue in the management difficulties highlighted in the field study for small business owners, the participation of small business representatives in the Minimum Wage Committee is necessary, and the qualified expense principle applied to credit card fees, must be introduced by the government in determining both delivery apps and franchise store fees. A key element of the government¡¯s support policy for small business owners is to emphasize to them that their survival depends on achieving sustained profits in market competition, and that market competition determines the evolution of an industry to quote Alchian (1950) again: Success is based on results, not motivation. |
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- Seh-Hyun Yoo (Korea Advanced Institute of Science and Technology) - Byungchae Jin (Korea Advanced Institute of Science and Technology)
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[³í¹®´Ù¿î¹Þ±â]
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Using panel data from 17 Korean regions from 2016 to 2023, we investigate the impact of new ventures on the Korean economy. The results show that an increase in the number of new ventures in a region significantly boosts regional GDP (GRDP), employment, patent applications, and the number of firms, but has limited influence on qualitative indicators, such as GRDP per capita and labor productivity. In contrast, a higher share of venture capital (VC)-backed firms in a region enhances these qualitative indicators. Furthermore, empirical evidence shows that a higher proportion of large firms in a region improves overall living standards and labor productivity but is associated with negative effects such as reduced employment and fewer firms. Regulation-Free Special Zones designed to facilitate innovation-based growth in a region alone have no significant effect on the number of new ventures, but generate positive outcomes when combined with fund-of-funds (FOF) investments and regional universities. These findings collectively suggest that, to strengthen the role of new ventures as a sustainable engine of economic growth, it is essential to support both quantitative expansion and qualitative growth of new ventures, foster complementary relationships with large firms, and promote systematic interactions among regional finance, human capital, and government. |
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