The purpose of research is to reveal the effect of innovation to enterprises' economic performance. The kind of this study has begun since 1960s and lively progressed then. The fmal theoretical result of the effect of innovation to the performance came positive in compare to the mixed results came out in empirical analysis. There are several reason why empirical results are different to the theoretical results. However the major factor is that of using imperfect statistics and inappropriateness of analysis method. This study used a population (1990~2008) provided from Korean Intellectual Property Office, KIPO for patent and also used a population (1990~2008) provided from Korea Investors Service, KIS for research and development. The contribution of this study is enormous statistical analysis. This study used principal component analysis made innovativeness index for appropriate index sampling, and made effort to minimize the error by using appropriate quantile regression for both to panel analysis and rapidly developed company analysis. Dividing the final results into two parts, the growth and the profit, the effect of technological innovation to the firm's growth is not significant to the panel analysis but heavily significant to the upper 10% of high growth firm. By classifying large company and small and medium enterprise, it is significant to upper 10% of high growth firm for large company and generally significant to small and medium enterprise. But for both lower 10% of low growth firms and 25% of low ranking firms are negatively effected, and for high growth firms larger than the medians are positively effected. Especially for upper 10% of high growth firms are mostly effected. It is more effective to the profitability than the growth. The effect to the profit for every enterprises are not significant, but effected significant to the larger enterprises than 25% of low ranking enterprises especially most effective to the upper 10% of high-profit enterprises. The analysis for the large company, it was significant and positively effected to the upper 10% of high profit enterprises and 25% of low ranking enterprises, but the negatively effected for the low-profit enterprises. For the small and medium enterprises, it is negatively effected for both 10% of low ranking enterprises and 25% of low ranking enterprises. However it is positively effective and significant for the high ranking enterprises than median, especially for those high growth firms. It is meaningful to recognize significancy by quantile, but more implicative result is to finding more effectiveness to the small and medium enterprises than to the large company.
The purpose of the current study is to identify the critical success factors of information systems in small-and-medium-sized firms in general, and also to investigate any differences of those critical success factors between two different industries: the electronic and textile industries. To accomplish this purpose, we collected and analyzed 115 and 108 questionnaires from the electronic and textile industries respectively. From the results of statistical analysis, critical success factors of small-and-medium-sized companies in general were obtained, and critical success factors from two industries were compared and the differences were able to be identified. The results of the analysis of the questionnaires are as follows: 1) The organizational characteristics of the electronic industry showed some differences from those of the textile industry; 2) Small-and-medium-sized companies in the electronic industry appeared to have some differences from companies in the textile industry in terms of critical success factors of information systems. Such factors as education and training, quality level of software, capability of users, business processes, standardization of data management, level of organization, user involvement, support of top management were significantly different between two industries.
Journal of Korea Society of Digital Industry and Information Management
/
v.18
no.1
/
pp.163-177
/
2022
The purpose of this study is to analyze the impact of quality management system requirements, which are techniques for management innovation to secure competitiveness of small and medium-sized manufacturers, on management performance as economic uncertainties increase and non-face-to-face culture spread. To this end, a survey was conducted on small and medium-sized manufacturing companies that maintain ISO certification. As a result of the study, first, it was found that planning had a positive effect on management performance among the requirements of the quality management system. Second, it was found that improvement among the requirements of the quality management system had a positive effect on management performance. Third, in the relationship between the requirements of the quality management system and management performance, leadership was found to have a complete mediating effect on planning. This means that the CEO plays a large role in establishing strategies for companies to gain a competitive advantage and will contribute to establishing all measures.
Robot technology has become a crucial part of today's business operation. In fact, more manufacturing firms have been utilizing robot technology in order to increase operational efficiency and productivity. Thus, this study develops the research model investigating firms; behavior for process innovation with intelligent robot. Three categories - Technical, Entrepreneur, and Environmental characteristic - are proposed in the research model as determinants of process innovation. These three characteristics include six variables(Perceived Direct Usefulness, Perceived Indirect Usefulness, Innovation, Risk Senstivity, Perceived Industry Pressure, and Perceived Government Pressure) as influencing factors on process innovation. The data from 77 employee at manufacturing firms were analyzed to test proposed hypotheses. The results reveal that all variables with exception of Perceived Government Pressure have a significant influence on process innovation. Based on the study results, theoretical and practical implications for process innovation with intelligent robot technology are discussed.
As the 4th industrial revolution has been an emerging issue, the government and industry has paid increasing interest to smart factory. The Korean government has made efforts to establish smart manufacturing capabilities of small-to-medium sized firms by providing supports for smart factory. However, the effectiveness of the supports and satisfaction of firms have hardly been analyzed. This study aims to analyze firms' satisfaction by attributes of policy suuports for smart factory and identify priorities for government supports. The results show that 8 out of 11 attributes were one-dimensional and 3 were attractive attributes. Among the 11 attributes, funding support was the top priority. The attributes such as dispatching external experts, consulting for sophistication of smart-factory, and consulting for maintenance and repair were also high priorities. These results imply that firms prefer supports for maintenance and sophistication to adoption or initial establishment of smart factory.
Prior bankruptcy studies have established that bankrupt firm's pre-filing financial ratios are different from those of healthy firms or of randomly selected going concerns. However, they may not be sufficiently different from the financial ratios of other firms in financial distress to allow the development of a ratio-based model that predicts bankruptcy with reasonable accuracy. As the result, in the multiple discriminant model, independent variables divided firms into bankrupt firms and healthy firms are retained earnings to total asset, receivable turnover, net income to sales, financial expenses, inventory turnover, owner's equity to total asset, cash flow to current liability, and current asset to current liability. Moreover four variables Retained earnings to total asset, net income to sales, total asset turnover, owner's equity to total asset indicate that these valuables classify bankrupt firms and distress firms. On the other hand, Owner's Equity to borrowed capital, Ordinary income to Net Sales, Operating Income to Total Asset, Total Asset Turnover and Inventory Turnover are selected to predict bankruptcy possibility in the Logistic regression model.
Journal of the Korean association of regional geographers
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v.9
no.1
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pp.53-65
/
2003
The aim of this study is to examine the regional features of shipbuilding-allied industries comprehensively. Inaddition, this study would offer groundwork to construct spatial networks of shipbuilding-allied industries. Relatively in short term, large modem shipbuilding firms of South Korea have developed under the national strategic support, around southeast coast region. Although small shipbuilding firms and marine equipment firms have supported regional economy, these firms have scaled down their functions and roles due to the national policy. In the long tenn, Korean shipbuilding-allied industries have limitations in stable development, because they have separated their roles. Consequently it is necessary the balanced development of large, medium, and small shipbuilding firms and linkage system with marine equipment firms for overall development of shipbuilding-allied industries. This study suggests two spatial strategy for shipbuilding-allied industries development. First, we need to construct a shipbuilding specialization area which agglomerates competent parts firms adjacent to large shipyards. Second, in national strategy, a long term strategy is required to utilize extremely synergy and external effects induced from a shipbuilding duster of southeast coast region which systematically combines shipbuilding-allied industries, universities, the government authorities, and research institutions.
Korean Journal of Construction Engineering and Management
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v.13
no.5
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pp.64-75
/
2012
Today organizations are making considerable efforts in order to maintain excellent talent, and in particular, they are focusing on understanding their intentions of changing jobs which are most highly correlated with job turnover. In the case of architectural design firms, its intensity of work is very high unlike industrial settings, and it not only takes much time to cultivate new men of talent and but also is characteristic that employees can change livery easily because of the flexible labor market. The turnover rated by National Statistical Office indicates that specialized, scientific and technical service industry including the architectural design firm has a relatively high turnover rate compared to the average of the turnover rate of the overall industries. However, studies on intentions of changing jobs until now were conducted focused on employees engaged in other industrial areas, and it is true that studies regarding intentions of changing jobs of practitioners of architectural design firms are very insufficient. In this context, the present study aimed to draw determinants affecting intentions of changing jobs of practitioners of architectural design firms, to objectively understand the practitioners' intentions of changing jobs through importance analysis by each factor based on this and to make a comparative analysis of differences between the large scale architectural design firms and the small and medium sized architectural design firms.
Journal of the Korean association of regional geographers
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v.7
no.2
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pp.17-34
/
2001
This paper is to analyze how firms in a large firm-led industrial city have carried out the restructuring in the face of radical shifts, with focus on the strategy and the restructuring of firms in Ulsan, a typical industrial district in Korea that is specialized in heavy & chemical industry. It has been well known that the local economy has been led by a small number of large firms, including affiliates of chaebol, and its industrial structure has also been characterised as a clear dichotomy between large firms as a customer and small and medium-size firms as a supplier, which can be called not horizontal but vertical relations. It can identify some tendencies, however, that local companies have been rather dynamically changing in response to increasingly turbulent environment since the Asian crisis. Some are radical, but some incremental. These can be summarized in four distinctive but interlinked ways. First, more than half of local companies surveyed have attempted to change their production systems, mainly from the fordist mass production towards the flexible mass production, seeking both economies of scale and scope. Second, local firms have vigorously continued to reorganize the boundary of the production and the organization, by specializing products and focusing on the core competence in order to save costs and cope with radically changing customer demands in a flexible way. Third, there have been various strategies for the organizational innovation such as the introduction of team organization, the boundary blurring between the managerial and production workers and the intra-firm spin-offs, so as to improve managerial efficiency and competence in the use of internal labour market. Finally, they have tried to be more sensitive to the market and customers. These tendencies seem to be increasingly critical to sustain their competitiveness. To do so, they tend to focus increasingly not only on the competing via the product quality rather than through price, but also to seek to diversify the market and customer firms beyond national boundary.
Journal of the Korea Academia-Industrial cooperation Society
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v.10
no.3
/
pp.670-676
/
2009
Bankruptcy of firms in Korea can cause distress of financial institutions because these institutions have disterssed bond. Accordingly, social and economical spill-over effects by these results are very big. Even after the difficult times of IMF crisis had ended, bankruptcy of information-based small-medium companies and venture firms listed on the KOSDAQ has been continued. In this context, this study developed and adopted failure prediction models for which discriminant analysis was used. Samples of this study was 81 firms respectively for both failed and non-failed firms listed on the KOSDAQ between the year of 2000 and 2007. The results of this study are as follows. First, the accuracy of classification of the model by years was $74.5%{\sim}76.5%$, and the accuracy of classification of the mean model was $69.6%{\sim}80.4%$. Among the models, the mean model of -one year, -two years, and -three years was highest in accuracy of classification (80.4%). Second, accuracy of prediction of final model adopted on validation samples showed 85% before one year of bankruptcy. The results of this study may be significant in that the results may be used as early warning system for bankruptcy prediction of KOSDAQ firms.
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