The Journal of the Institute of Internet, Broadcasting and Communication
/
v.18
no.4
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pp.191-203
/
2018
Identify the effects of ISO quality management system on the durability of the enterprise by applying it to early startups and small - and medium-sized enterprises. In particular, the quality management system of a technology start-up small and medium sized companies is important in applying the management system to the financial, management and quality control services rather than to research and development. The quality management system is applied to the medical equipment manufacturers, mobile phone brokers, foreign Chinese companies, and components manufacturers for diesel engines.Try it. Check the case where the quality management system has been applied to the company concerned and the nonconformities have been improved. In addition, the success of the project was determined by applying the quality control system to maintain the stability and perpetuation of the company through the case of the failed selection. The company explains that recently, it must appoint internal auditors to carry out continuous improvement activities and that those who want the development and continuity of the company must reflect the quality management system.
Yang, Sun Im;Yim, Hyeon Woo;Jo, Sun-Jin;Ji, Yu Na;Jung, Hye-Sun;Kim, Bo Kyoung;Lee, Kang-Sook;Lee, Won Chul
Korean Journal of Occupational Health Nursing
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v.17
no.1
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pp.23-33
/
2008
Purpose: The purpose of the study was to identify attitudes of middle managers toward employees with psychological problems and to determine factors affecting their attitudes. Methods: A questionnaire with Community Attitudes Toward Mentally Ill (CAMI) scales was administered to 161 middle managers working in small and medium-sized enterprises based in Seoul and Gyeonggi Province. Results: There are four separate subscales on the CAMI. Mean score for authoritarianism was $35.0{\pm}4.4$, benevolence $23.0{\pm}4.8$, social restrictiveness $32.3{\pm}4.9$ and community mental health ideology $27.2{\pm}5.1$ According to multiple regression analysis, middle managers with no experience of learning mental illness through mass media or higher levels of depression symptom were more authoritative and less benevolent towards employees with psychological problems. The experience of meeting a patient with mental problem contribute to positive attitudes toward people with mental illnesses in social restrictiveness subscale and community mental health ideology subscale among CAMI. Conclusion: This study suggests that experience of having patients with mental problems and information on psychological problems will have great influence on attitudes of middle managers toward employees with psychological problems. It might be important to help middle manager manage their depression because their depression also affects their attitudes toward employees with psychological problems.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.12
no.6
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pp.49-63
/
2017
The purpose of this study is to analyze the effects of the collective characteristics of SMEs on M&A activity on the disclosure effect of mergers and long-term business performance after mergers. From 2000 to 2012, we examine 717 cases of small and medium-sized enterprises (SMEs) using multiple regression analysis and difference analysis. The results of this study are as follows. First, it is confirmed that the effect on the merger announcement effect is the same as the previous study on the Korean capital market listed companies except for the effect of diversification, listing effect, and cross-border effect. In addition, we have found that firms with higher performance in the past have higher excess returns in the disclosure effect of mergers and acquisitions. Second, unlike the previous studies that non-related mergers have a positive effect on long-term operating performance, for the characteristics of SMEs with lower market competitiveness than that of average listed companies, SMEs merging with same industry group companies have a positive effect on long-term operating performance. This study provides a new perspective on the merger and acquisition of SMEs by examining the effects of M&A announcement and long-term performance.
The Journal of the Convergence on Culture Technology
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v.9
no.3
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pp.817-823
/
2023
Manufacturing plants face the challenge of reducing energy use in response to climate change. Reducing energy consumption can be seen as one of the most important issues, such as reducing production costs and improving efficiency. Among manufacturing industries, the increase in energy consumption in the food industry is gradually increasing along with the improvement of the standard of living and the increase in population. In order to save energy in food processing plants, it is important to identify and analyze energy consumption characteristics in energy-consuming processes. Prior to this, it is necessary to monitor and analyze existing energy consumption to derive reduction measures. In this study, a small and medium-sized food processing plant producing processed meat products was used as a case study to identify and analyze the energy consumption structure at typical cycle/stage level of the batch heating process. From this, we tried to establish realistic and quantitative goals that can be obtained under individual process operating conditions. The results of this study will be used as basic data for the development of diffusion and pervasive energy saving FEMS technology for common core processes of food factories of small and medium-sized enterprises in the future.
With the progress of the 4th industrial revolution, interest in smart factories is increasing. The government is implementing a smart factory support project for small and medium-sized manufacturing companies. Therefore, in this study, factors influencing small and medium-sized enterprises(SME's) intention of smart factory acceptance were analyzed. In particular, it focused on how the perception of government support affects intention of smart factory acceptance. For the empirical analysis, a research model was established by reflecting the characteristics of SMEs and the technical factors of the smart factory centering on the technology acceptance theory. Based on the model set in this way, a questionnaire survey was conducted for employees of SMEs. In this study, a total of 231 samples of valid data were used for analysis. The empirical analysis results are as follows. It was analyzed that performance expectancy, social influence, technology utilization capability, CEO will, and employee resistance to innovation, all introduced as research variables, had a significant effect on the use intention of smart factory acceptance. In particular, it was found that employees' resistance to innovation had a negative (-) effect on their use intention. Meanwhile, to analyze the moderating effect of government support, it was divided into a group with high expectations for government support and a group with low expectations. As a result, it was found that there was a difference in the effect of CEO's will, employees' resistance to innovation, and social influence on the use intention. On the other hand, no significant difference was found in the relationship between performance expectancy, technology utilization capability on the use intention. Based on the empirical analysis results, the academic and practical implications of this study were presented.
Recently, the domestic e-commerce market has achieved remarkable growth through the spread of e-commerce throughout the industry. Nevertheless, the ratio of e-commerce use by our small and medium-sized enterprises has turned out to be very low. The reason for this low participation rate of SMEs in B2B e-commerce market is due to various reasons, but also the lack of empirical performance measurement and evaluation considering the characteristics of B2B e-commerce market in which SMEs participate. Therefore, this study was intended to analyze the effectiveness of B2B e-commerce use of B2B e-commerce to companies that are provided in conjunction with e-Marketplace by public credit guarantee agencies with experience in use. To this end, 14 items related to finance derived through prior research were used to conduct management performance analysis and hypothesis verification from a financial perspective. The implications of this study are expected to be that an empirical performance analysis from the financial perspective of a B2B e-commerce guarantee Utilized company can be used as a basis for policymaking for the activation of the B2B e-commerce guarantee in the future, thus contributing to the establishment of a stable business environment by supporting the expansion of e-commerce by small and medium-sized businesses.
Cloud Computing has drawn attention as one of 10 IT strategic technology trends and has various advantages such as cost reduction and enhancing business flexibility. However, corporations hesitate to adopt the service because of unexpected risks. Especially compared to large firm, medium and small ones use public cloud that security risk is high. Meanwhile, real option strategy has drawn attention as the method to hedge uncertainty in IT projects. Therefore, in this study causal relationships among technical, security, relational, and economic risks of cloud service will be investigated. Eventually, this study investigates how those risks influence the intention to choose the real option about the cloud service. For this study, five hypotheses is drawn, and a survey is conducted about the medium and small firms which are currently using cloud service to examine hypotheses. Since the study is at organizational level, 287 questionnaire replies are recalculated to 120 firms. For statistical analysis, Smart PLS and SPSS Statistics18 are used. As a result, technical risk of cloud service has significantly positive influence on security risk. Second, security risk and relational risk of cloud service has significantly positive influence on economic risk. Third, economic risk of cloud service has significantly positive influence on the intention to purchase the delay option or abandon option. Based on this result, this research discussed practical and academic implications and the limitations.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.6
/
pp.87-104
/
2023
Recently, concerns are growing over small and medium-sized companies holding out on debt as domestic loan interest rates have risen sharply due to the prolonged impact of COVID-19 and soaring raw material prices. In addition, loans from small and medium-sized enterprises, which are difficult in the business environment, are increasingly being rejected due to high loan interest rates and excessive submission documents and financial statements-oriented screening of loans by the financial sector. Therefore, since it is necessary to discuss ways to promote financing and investment by SMEs, this study intends to suggest ways to promote investment through the use of SMEs' ESG systems. The purpose of this study is to suggest that the use of ESG evaluation indicators used as non-financial indicators helps predict the corporate value of SMEs and the importance of SMEs actively participating in ESG information disclosure. This study suggests the necessity of introducing and practicing ESG by SMEs where financing is important, and aims to analyze as an empirical result that the use of non-financial indicators helps predict corporate value. As a result of the study, the ESG performance and corporate value of SMEs showed a positive (+) relationship. It can be seen that both the grades and corporate value of SMEs by ESG sector have a positive (+) influence relationship. The total ESG rating was confirmed to have a positive effect on corporate value, and it was confirmed that SMEs with higher ESG environment, social, and governance ratings were evaluated higher. According to the research results, it is suggested that SMEs also need to use ESG evaluation indicators, and in order to promote the growth of SMEs, it is suggested that research on ways to re-examine the corporate value of SMEs is necessary. Therefore, this study suggests that the use of ESG should be actively recommended and implemented as a way to establish a management strategy for SMEs, and that efforts to disclose ESG information can soon help SMEs solve information asymmetry. In addition, SMEs want to understand the investment mechanism that the introduction and practice of ESG can lead to the improvement of the value of SMEs and suggest the necessity of SME-type ESG policies in the future.
This study aims to analyze the factors that influence the technological performance of national R&D programs, and to compare these factors with those that affect R&D in the machinery and chemical industry. This study also seeks to explore policy implications for the national R&D programs to meet the characteristics of each industrial technology. The results of this study are as follows: First, big enterprises create more Korean patents than small- and medium-sized enterprises (SME) in the machinery R&D. Moreover, government-funded research institutes produce more SCI articles than enterprises in the chemical technology R&D. Second, there is no significant difference in the number of institutions that participate in the machinery technology R&D. Third, the production of Korean patents and Science Citation Index (SCI) articles on all samples in the machinery industry are influenced by government grants. For instance, in the samples, which consist of enterprises, the creation of overseas patents is influenced by the amount of government grants. Fourth, there is no significant difference in the magnitude of private investment, regardless of the sample and industry. In conclusion, different factors influence the technological performances of the national R&D programs in the chemical and machinery technology R&D. This shows that it is necessary to consider the characteristics of industry-specific technology when making science and technology policies for the national R&D programs.
The purpose of this paper is to explore the relationship between industrial regulations and the R&D activities of firms by analysing the case of manufacturing enterprises in Korea. The sample is gathered from the 2012 Korean Innovation Survey data of Korean Institute of Science & Technology Evaluation and Planning and merged with Korean Regulation Index data of Korean Institute of Public Administration. The Ordinary Least Square (OLS) as well as 2 Stage Least Square (2SLS) regression results show that the impact of the level of the manufacturing field's regulation on firms' R&D activities or inputs may be both positive and negative, depending on the size of the firms. The analysis results suggest that regulatory policy makers need to formulate and implement R&D programs that consider the different effects of industrial regulations on large enterprises or Small and Medium sized Enterprises (SMEs).
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