• Title/Summary/Keyword: Business Policy

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A Review and Comparison between Quality Policy and Quality Strategy (품질정책과 품질전략에 관한 비교 및 고찰)

  • Chung, Kyu Suk;Hyun, Young Suk
    • Journal of Korean Society for Quality Management
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    • v.43 no.3
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    • pp.313-326
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    • 2015
  • Purpose: The terminology of "policy" or "quality policy" is widely used in quality management areas. But few people know and use that word with the accurate concept. This paper compares the concepts and suggests the contents for quality policy and quality strategy. Methods: This paper compares the concepts between policy and strategy through the literatures and suggests the contents for quality policy and quality strategy by exploratory study. Results: This paper suggests the contents for quality policy and quality strategy which are useful to establish the quality planning in companies. Conclusion: Strategy and policy are intimately related, and so confused in applications, therefore distinguishing both concepts clearly is necessary for effective use of them. This paper will help the right use of both concepts by showing the examples.

Static or Dynamic Capital Structure Policy Behavior: Empirical Evidence from Indonesia

  • UTAMI, Elok Sri;GUMANTI, Tatang Ary;SUBROTO, Bambang;KHASANAH, Umrotul
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.71-79
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    • 2021
  • This study investigates the capital structure policy among Indonesian public companies. Previous studies suggest that capital structure policy could follow either static or dynamic behavior. The sample data used in this study was companies in the manufacturing sector, divided into three sub-sectors: the basic and chemical industry, miscellaneous industry, and the consumer goods industry. This study uses panel data from 2010 to 2018, with the Generalized Least Square (GLS) method and compared whether the fixed effect model is better than the common effect model. The results show that the dynamic and non-linear model tests can explain the capital structure determinants than the static and linear models. The dynamic model shows that the capital structure of a certain year is influenced by the capital structure of the previous year. The findings indicate that the company performs some adjustments in its capital structure policy by referring to the previous debt ratio, which implies support to the trade-off theory (TOT). The study also shows that profitability, tangible assets, size, and age explain the variation of capital structure policy. The patterns on the dynamic and non-linear confirm that capital structure runs in a nonlinear pattern, based on the sector, company condition, and the dynamic environment.

A Plan on Expanding Export of Small Businesses Using e-Trading Application in Industrie 4.0 (인더스트리 4.0시대에서 전자무역을 활용한 중소기업 수출 확대 방안)

  • SONG, Gye-Eui
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.78
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    • pp.53-72
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    • 2018
  • Recently, it has been known that it need to be solved export marketing on expanding export of Small Business Commodity. Therefore, the purpose of this paper is to analyse on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0. This study deals with the terms of three connection success factors on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 which are a firm's subjective factors, a industrial environment factors, and a governmental policy factors. According to analysis results of the three success factors, a firm's subjective factors(4.13 score) are scored at the most ones of the three success factors, to be compared with a industrial environment factors(3.89 score), with a government policy factors(3.72 score). Therefore, first of all, it is important to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through as follows, a firm's subjective factors : (1) to procure concentrated market strategy and real market capacity, (2) to procure speedy satisfaction of customer needs and confidence, (3) to procure ability of export marketing through e-Trading Application, (4) to enhance export expanding strategy coincided in Industrie 4.0. And, the next, we have to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through considering a industrial environment factors and a government policy factors.

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A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving

  • Donggeun Kim;Sangjin Kim;Juyong Ko;Jai Woo Lee
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.35-47
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    • 2023
  • It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.

Policy-making Process in Basic Science Adapting Multiple Streams Model : Case Study for International Science Business Belt (다중흐름모델을 적용한 기초과학정책 결정과정 분석 : 국제과학비즈니스벨트 사례)

  • Lee, Seung-Hyun;Yi, Chan-Goo
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.907-937
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    • 2018
  • This study analyzed the policy decision process of the International Science Business Belt (ISBB) applying multiple stream model combining Kingdon (2013) and Howlett et al. (2014) models. We looked at what socio-political factors influenced the process and sought to find ways to promote the project of ISBB and the policy of basic science in the future. As a concrete analysis, the policy decision process was divided into policy, policy formation, and implementation policy, and the streams of problem, process, policy and politics, policy window, and policy participant were used as variables. As a result of the analysis, the stream of politics and the role of the policy-entrepreneur played an important role in the policy decision process. Politicians and government officials were more involved than the scientists.

A Study on the Status and Improvement Direction of Korea SMEs Policy Information System (우리나라 중소기업 정책정보시스템의 현황 및 개선 방향에 관한 연구)

  • Kim, Ju-Mi
    • Journal of Information Technology Services
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    • v.7 no.4
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    • pp.61-86
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    • 2008
  • Korea 5MBA(Small and Medium Business Administration) is operating SMEs Policy Information System called SPi-1357 as a part of electronic government business, G4B. SPi-1357 system is offering tailor made policy information to a nation through on-off line system. In this paper, I provide the offering status of policy information, the status of SPi-1357 system, political results of SPi-1357 system, comparison with other country's policy information system, and the development direction of SPi-1357 system. Until now, most Policy Information Systems documents have focused on policy maker but the focus of this paper is functionally oriented SMEs.

The Effects of Entrepreneurial Self-Efficacy on Perceived Firm-Efficacy, Policy Satisfaction, and Managerial Performance in SMEs and Startups: Focusing on Government Support Policies for SMEs and Startups

  • Jong-Han Lee;Myung-Soo Kang;Jeong-Hoon Lee
    • Journal of Information Technology Applications and Management
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    • v.30 no.6
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    • pp.31-52
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    • 2023
  • The government's various support policies have helped Korea's SMEs and startups to grow from the beginning to the end, from domestic companies to exporters. In particular, direct business support policies such as financial support, R&D projects, and export support have been effective in helping a large number of entrepreneurs and startup companies to establish themselves in the market and have achieved tangible results every year since the establishment of the Ministry of SMEs and Startups. As such, the government is making significant efforts to create and promote various types of support policies and to help companies utilize them in their business. However, this study aims to analyze the factors that affect the satisfaction of government policies and the achievement of managerial performance from the companies' perspective and to suggest the purpose of government support policies and the direction companies should take. Specifically, this study categorizes entrepreneurial self-efficacy into marketing, innovation, management, risk-taking, and financial management, using the relationship model of self-efficacy and collective efficacy to ultimately lead to practical results for SMEs and startups support policies. It uses perceived firm efficacy as a variable to reveal the influence relationship. In addition, the direct and mediating effects of entrepreneurial self-efficacy and policy satisfaction on managerial performance were analyzed to determine what SMEs and startups support policies should do. The results showed that, first, among the five components of entrepreneurial self-efficacy, innovation, and risk-taking efficacy positively affected perceived firm efficacy. Second, the specific components of entrepreneurial self-efficacy, marketing, and financial management efficacy positively influenced policy satisfaction. Third, we found that perceived firm efficacy positively influenced policy satisfaction and managerial performance, which are factors of SMEs and startups' policy performance. Specifically, perceived firm efficacy positively influenced policy satisfaction managerial performance. Fourth, we found that policy satisfaction positively influenced managerial performance.

An Analysis of the Support Policy for Small Businesses in the Post-Covid-19 Era Using the LDA Topic Model (LDA 토픽 모델을 활용한 포스트 Covid-19 시대의 소상공인 지원정책 분석)

  • Kyung-Do Suh;Jung-il Choi;Pan-Am Choi;Jaerim Jung
    • Journal of Industrial Convergence
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    • v.22 no.6
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    • pp.51-59
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    • 2024
  • The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.