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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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- Sang-Joon Kim (Ewha Womans University)
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[³í¹®´Ù¿î¹Þ±â]
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Editor¡¯s Preface |
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- Nami Kim (Hankyong National University) - Jongseon Lee (MyongJi University)
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[³í¹®´Ù¿î¹Þ±â]
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Corporate venturing has been recognized as an effective mechanism to foster organizational innovation and change, enhancing firms' competitive advantage. This study analyzes the impact of corporate venturing support on strategic deviation and entrepreneurial culture, with a comparative focus on how these effects differ between large enterprises and SMEs. Using data from the Entrepreneurship Survey for Firms, the findings reveal that corporate venturing support exerts a stronger influence on strategic deviation in large enterprises, while its impact on entrepreneurial culture is more pronounced in SMEs. By extending the scope of previous research, which predominantly centered on large enterprises, this study incorporates the unique contexts of SMEs to evaluate the distinct roles and effects of corporate venturing. The findings provide practical implications for designing corporate venturing strategies tailored to the firm size, offering valuable insights for fostering sustainable innovation and competitiveness across organizational size. |
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- Sung-Hwan Cho (aSSIST University) - Jung Eun Park (Ewha Womans University) - Sang-Joon Kim (Ewha Womans University)
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[³í¹®´Ù¿î¹Þ±â]
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This study seeks to approach the salience of ambiguity in organizations and its factors from a phenomenological perspective. The concept of ambiguity has been dealt with for a long time, but our knowledge on this is fragmented. Identifying the ontology of ambiguity can provide significant theoretical implications in the area of management. This study investigates what ambiguity appears in private banking businesses and what factors cause the ambiguity to appear. Based on a qualitative analysis in a phenomenological perspective, we found that in the context of Korean PB businesses, four major factors to cause organizational ambiguity were identified: bureaucratic structure, ambivalence of PB-related identity, under-developed performance management systems suitable for PB, and human resource development separate from career development. In addition, social ambiguity arising from social demands and technical ambiguity arising from changes in the technological environment were additionally captured. By specifying the organizational ambiguity and its factors to appear, this study provides theoretical implications on how organizations, ex ante, prevent themselves from making organizational ambiguity salient and, ex post, establish valid management strategies for any contingencies the organization can encounter regarding organizational ambiguity. |
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- YongHee Cho (Science and Technology Policy Institute) - Kyung Min Park (Yonsei University)
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[³í¹®´Ù¿î¹Þ±â]
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This study examines the impact of corporate research institute decertification on firm survival, including closures and bankruptcies, under increasingly stringent regulatory oversight. Corporate research institutes are a vital policy mechanism supporting R&D activities in SMEs and venture firms. Using a dataset of around 118K firms from 2020 to 2023, the study applies the Heckman two-step model to address potential sample ion bias and categorizes firm survival periods into three intervals: within 6 months, 12 months, and overall.
The findings reveal several critical insights. First, decertification significantly increases the likelihood of firm failure, with decertified firms facing higher survival risks. Second, venture firms are disproportionately vulnerable, experiencing a significantly greater risk of failure compared to SMEs. Third, while R&D intensity generally correlates with firm survival, its interaction with decertification did not produce statistically significant effects.
These results underscore the unintended consequences of decertification policies, which, while designed to remove firms with inadequate R&D capabilities, may also endanger firms with latent potential. To address this, policymakers should consider flexible measures such as deferral mechanisms and phased reductions in benefits to support firms during transitional periods. Such policy enhancements can help mitigate the adverse effects of decertification, fostering a more resilient and sustainable corporate environment while maintaining the integrity of R&D support systems. |
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- Min-Gook Lee (Korea Institute of Science and Technology Information) - Hyun-Sook Roh (Korea Institute of Science and Technology Information) - Yong-Deok Kim (Goyang City Institute) - Eun-Ji Kim (Yonsei University) - Kang-Hee Park (Korea Institute of Science and Technology Information)
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[³í¹®´Ù¿î¹Þ±â]
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The pandemic of COVID-19 has caused a serious economic shock worldwide, and the domestic SMEs community also suffered from various aspects, including financing and securing demand sources. Accordingly, it is necessary to identify potential growth opportunities and threats of SMEs. This study develops an AI-based model to diagnose changes in the growth potential of the domestic semiconductor industry before and after COVID-19. Various information was collected and utilized, and the growth potential of each company is predicted by combining feature extraction and graph algorithm-based AI techniques. As a result of the research, the resilience and growth potential of the semiconductor industry after COVID-19 showed a big difference depending on the type of product and the region to which it belongs. Companies in the semiconductor application products sector showed stable growth rather than semiconductor devices or test equipment. Moreover, regions with larger semiconductor industry ecosystem were more favorable for company's recovery and growth. In theory, this study is differentiated in that it can objectively diagnose complex characteristics of the semiconductor industry by learning nonlinear relationships between various variables, unlike previous studies that mainly dealt with traditional indicators and statistical analysis. In addition, since the research results empirically analyzed the impact of COVID-19 on products, industries, regions, and corporate types, it is expected that the government or companies will contribute to establishing practical alternatives and strategies. |
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- Inhyouk Koo (Sookmyung Women¡¯s University) - Shijith Kumar (SolBridge International School of Business) - Hojung Ha (KDI School of Public Policy and Management)
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[³í¹®´Ù¿î¹Þ±â]
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This study examines the intersection of automation and High-Involvement Work Systems (HIWS) in small and medium-sized enterprises (SMEs), focusing on their combined impact on firm performance, including sales growth, innovation, and profitability. While automation is generally known to enhance HIWS by improving employee engagement and labor productivity, the relationship between the two is complex. In certain cases, automation may displace skilled workers, reducing employee engagement and conflicting with HIWS objectives. Analyzing data from 2,576 SMEs included in the Workplace Panel Survey (WPS), this study finds that the mediating effects of automation through HIWS on firm performance vary in magnitude and pattern, with the largest effect observed on sales growth, followed by innovation and profitability. This suggests that the combined effects of technology diffusion and Human Resource Management (HRM) practices differ according to performance measures. Furthermore, the impacts of automation and HIWS can vary depending on contextual factors such as internal processes, employee engagement level, and organizational culture. In conclusion, this study provides strategic implications for SMEs seeking to integrate automation and HIWS effectively to optimize decision-making, resource allocation, and responses to market changes, thereby securing sustainable competitive advantages. |
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