• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.72-81
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• 2015

This paper studied the differences of the inventories asset turnover change ratio and several characteristics variable between large and small manufacturing firm group. Large and small firm group were determined based on number of labors and asset size. Several characteristics variable of firms such as assets size, sales growth rate, return on assets, leverage ratio, credit rating and age of firm were used to find out the differences of firm group. As a result, the inventory asset turnover change ratio of large firm was 5.16% and that of the middle and small firm was 9.3%. For the large firm, sales growth rate, ROA and credit rating affect inventory assets turnover change ratio. For the middle and small sized firm, Assets size, sales growth rate and credit rating affect inventory assets turnover change ratio. Using this result, we can say that manufacturing company need to consider their firm size and their characteristics to make their own operation strategy of inventory.

• The Journal of Industrial Distribution & Business
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• v.9 no.11
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• pp.93-104
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• 2018

Purpose - For small and medium sized firms, CEO characteristics are main factor influencing firms' prosperity as well as performance. So it is quite natural that many people are interested in factors of CEO that matters. In this research, CEO characteristics in terms of capabilities and skill or special knowledge necessary to run the business are invested for manufacturing firms. Precedent studies reveal that CEO characteristics such as psychological factors including desire to succeed, tendency to take risks, personal factors including age, year of running business, and task related factors including managing capability, communication skills, network influence firm performance for manufacturing firms. However, these studies simply verify whether or not those factors affect firm's managing performance. This study, however, goes further to investigate how is the affecting process from CEO's capabilities and organization characteristics to firm's core competence, and from core competence to advantages, and from advantages to managing performance. Research design, data, and methodology - We make a questionnaire and surveyed manufacturing firm CEO's in Gyeonggi-do area. General characteristics analysis, factor analysis, regression analysis, and control effect analysis was conducted. SPSS 2.0 Win, version was used. Results - The CEO characteristics including basic capability, task capability, leadership, and organization characteristics affect core competence at the statistically significant level. And, core competence affect both price advantage and differentiation advantage at the significant level. Some unique finding is that while differentiation advantage affects both financial achievement and non-financial achievement, price advantage does not affect both financial and non-financial achievement. And firm characteristics mainly measured by CEO characteristics of skills has control effects on the trace from core competence to price advantage. Conclusions - For small and medium sized firms CEO characteristics is the most important factor influencing firm's prosperity. For manufacturing firms, whether CEO has the skill or special knowledge to run the firm is critical factor. The study results show that CEO's for manufacturing firms put importance on price and price advantage which seems to be familiar to them. However, the price advantage does not influential to financial and non-financial achievement. This result suggests that small and medium sized manufacturing firms' CEO's should make effort to improve other aspects of advantages to be more competitive.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2551-2557
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• 2012

This study analyses the relative importance of R&D business model of the small and medium manufacturing firm. We also compare samples by classifying by its properties, technology and market circumstance. The most important factor of the R&D business model is marketing factor and infrastructure factor is relatively less important. Also the relative importance of the R&D business model is different according to firm's properties and technology. So when government establishes the R&D policy, he focuses on designing the R&D business model.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.15-23
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• 2018

Purpose - The purpose of this paper is to examine the determinants of non-bank depository institutions (non-bank financial corporations) lending to firms. The paper aims to contribute to the existing literature by providing empirical evidence from firm-level data and unveiling factors related to access to non-bank financial corporations by firms. Research design, data, and methodology - We used the data on borrowing by firms from CRETOP from years 2008 to 2011. Using the manufacturing industry, we examined what firm-level characteristics explained the increase in borrowing from non-bank financial corporations rather than the banks. Results - Analyzing the firm-level data from 2008 to 2011, we found that firms were more likely to borrow from non-bank financial insti­tutions as the size of the firm increases, implying that large firms have more access to non-bank financing than small and medium-sized firms. In addition, it also showed that small and medium-sized firms moved to non-bank financial corporations for loans. Conclusion - Non-bank depository institutions are not a sub­stitute for bank lending to firms. More specifically, they replace bank lending to firms mostly for large firms rather than small and medium-sized firms. Also, collateral and other firm-level characteristics do not matter in accounting for non-bank lending to firms.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.261-272
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• 2021

Rapid economic growth in recent years has caused a surge in energy consumption among Southeast Asian countries and laid a considerable burden on the already inadequate power infrastructure. As a result, frequent blackouts and prolonged outages have become common and weakened firm productive performance in those years. The main objective of this study is to examine the impact of power infrastructure quality on the performance of Southeast Asian manufacturing firms. In this study, the World Bank Enterprise Surveys was employed as the training dataset of 4723 manufacturing firms in the period of 2015-2016. The results of this study reveal that industrial firms that suffered from power outages had consistently lower productivity. As measured by the length of such events, more severe outages tend to be more harmful to the firm. Furthermore, the findings also indicated that most firms relied on self-generated electricity to reduce the negative impact of power outages, but this does not bring many benefits when operating at a small scale in some countries. Consequently, this study contributes to a growing literature that examines the economic impact of public infrastructure and how detrimental the poor state of such services is to a firm's downstream operations, productivity, and growth.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.79-94
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• 2022

Purpose - The purpose of this study is to examine firm-level attributes related to Korean manufacturing small and medium-sized enterprises' (SMEs') decisions to implement smart factories. Design/methodology/approach - This study uses the provided by the Ministry of SMEs and Startups of Korea and the Korea Federation of SMEs. Manufacturing SMEs' decisions to implement smart factories in 2018-2019 were analyzed using multinomial logit and ordered logit models. Findings - The findings of this study suggest that firms' decisions to implement smart factories were positively related to firm size, R&D intensity, international market scope, and transactional relationships with customers. However, smart factory implementation decisions were not related to firm age and CEO gender. Research implications or Originality - This study illuminates firm-level attributes that may drive organizational innovation in the era of Industry 4.0 and thus contributes to the innovation adoption literature. This study also contributes to growing research on smart factories by analyzing the actual, progressive decisions to implement smart factories, as opposed to perceived intentions to implement them.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5897-5905
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• 2015

This paper investigates the differentials in productivity and growth performance between small and medium size and large size firms in Korean manufacturing industries. According to the empirical analysis based on the Mining and Manufacturing Survey of Statistics Korea, this paper finds the following facts. First, the level of contribution of capital deepening on the growth rate of output(value added) is relatively greater in the small and medium size firm group, while the level of contribution of total factor productivity on the growth rate is relatively greater in the large size firm group. Second, the productivity polarization among the firms has increased relatively greater in the large size firm group over the past decade.

• Korean Management Science Review
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• v.23 no.2
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• pp.1-16
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• 2006

With the diffusion of the Internet, firms try to electronically collaborate with their partners in order to cut costs and gain profits. This, electronic Partnership, called 'Collaborative IT' is quite popular between large purchase enterprises and small-to-medium sized sub-contractors. This study investigates such relations. This study proposes three groups of research variables-interorganizational relationship, collaborative IT activity, and firm performance. the interorganizational relationship consists of trust, commitment, and asymmetry of commitment. Collaborative IT activity is composed of information sharing and workflow integration. The ultimate dependent variable is firm performance. It is hypothesized that the relationship factors influence the level of collaborative IT activity, while the latter in turn affects the firm performance. The relationship factors nay also directly affect the dependent variable. In addition, collaborative IT motive, as a moderating variable, may influence the causal relationship. By means of survey, ore hundred and eighty-two responses were obtained. Most sample companies are small-sized, in the manufacturing sector. The analysis of data reveals that both trust and commitment positively affects the level of collaborative IT activity, while asymmetry of commitment has negative effects. The workflow integration is significantly related with firm performance. Information sharing, however, has no signific3nt effects. Furthermore, asymmetry of commitment shows reverse relationship with firm performance. Collaborative IT motive works as a moderating variable between information sharing and firm performance. Finally, workflow integration is believed to mediate between relationship factors and firm performance.

• International Area Studies Review
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• v.20 no.2
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• pp.63-83
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• 2016

This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

• Korean Management Science Review
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• v.14 no.1
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• pp.151-176
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• 1997

This study addresses strategic issues related to the question of" how can a supply chain become more competivity\ulcorner" We examine several cases of manufacturing supply chains. Results show that each constituent firm is required to maintain different manufacturing capabilities and to play different roles by its position (up/mid/down-stream) in a chain. Furthermore, there are patterns of required capabilities by the positions in a chain. These findings imply that the "position in a chain" should be treated as one of the strategic factors when discussing the buyer-seller relationship. It is also shown that different action programs are required for building different manufacturing capabilities of individual firms in a supply chain. Additionally, we argue that some programs need to be done simultaneously, by all the members of the chain, while some need to be carried out by only a small group or an individual firm. Finally, we propose a direction for a theoretical framework for analyzing supply chain structures and strategies.ures and strategies.