• STI Policy Review
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• 제2권1호
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• pp.35-53
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• 2011

This paper originates from the questions concerning why Korea has had difficulties in boosting R&D service industries regardless of government efforts over a decade. We first review the intrinsic nature of the R&D services and set up four criteria such as establishment type, diversification of business models, coverage of client firms, and role of R&D service firms as innovation drivers and IP strategies, that will be used in interviewing and analyzing R&D service firms. Second, we carry out in-depth interviews of eighteen R&D service firms to understand business behaviors and relevant characteristics. Finally, we identify five groups of R&D service firms and conclude that differentiated polices have to be implemented according to the groups for promoting the industry effectively.

• The Journal of Asian Finance, Economics and Business
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• 제5권2호
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• pp.129-137
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• 2018

The present paper study investigates the relationship between social exclusion and donation intention among specific social groups in Korea. Social exclusion refers to non-participation in social experiences by the socially disadvantaged. Data were analyzed using two sources; first was the evidence of behaviors arising from social exclusion of the university students and then socially excluded reactions of the elderly responses from the survey were compared with the first research findings. The reason of using multi-sources of data is that the outcome from the experimental design of the university student is imperative to clarify what the conclusions will be the same result with the other demographic characteristic of the elderly. The research design was three excluded elderly individuals of a self-excluded group and two other excluded groups divided such as "ignored" and "rejected" individuals to compare the differences among three groups of different sources of exclusion. The conclusion of this study is that those with high social exclusion exhibited a more negative donation intention than those with lower social exclusion, but that those who perceived themselves as self-excluded were more likely to give donations than those excluded by others, regardless of the level of their social exclusion.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.823-832
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• 2021

In Vietnam, tax compliance has become an important goal in the tax reform strategy. In the context of technology 4.0, the application of the electronic tax system is of great significance to small- and medium-sized enterprises (SMEs). The paper explores factors influencing electronic tax compliance of SMEs in Vietnam. Data from 402 SMEs, who are business taxpayers, was selected through a researcher-designed questionnaire survey method. The results indicate that four groups of factors have significant effects on electronic tax compliance among Vietnamese SMEs. These groups include Taxpayer Awareness (TA), Perceived Ease of use (PTE), Vietnamese tax administration (VTA,) and Efficiency of Vietnamese tax policy (VTP). The factor analysis was adopted; Cronbach's alpha coefficients were calculated, exploratory factor analysis (EFA) was used. The findings found that among these four groups, the most influencing factor is taxpayer awareness. It is suggested that the Vietnamese government should pay attention to promote and support SMEs to raise full awareness of tax obligations. This could be done through various methods such as conducting workshops for updating tax policies and short courses to business taxpayers of electronic tax compliance. The study is expected to provide some important implications for policy-makers and practitioners in tax policy reform in Vietnam.

• 유통과학연구
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• 제22권4호
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• pp.11-22
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• 2024

Purpose: This research delves into the various factors that influence the performance of restaurant businesses on social commerce platforms in Bangkok, Thailand. The study considers both internal and external factors, including but not limited to business characteristics and location. Moreover, this research also analyzes the effects of employing multiple social commerce platforms on business efficiency and explores the underlying reasons for such effects. Research design, data, and methodology: Restaurants can be classified into different price ranges: low, medium, and high. To further investigate, we employed natural language processing AI to analyze online reviews and evaluate algorithm performance using machine learning techniques. We aimed to develop a model to gauge customer satisfaction with restaurants across different price categories effectively. Results: According to the research findings, several factors significantly impact restaurant groups in the low and mid-price ranges. Among these factors are population density and the number of seats at the restaurant. On the other hand, in the mid-and high-price ranges, the price levels of the food and drinks offered by the restaurant play a crucial role in determining customer satisfaction. Furthermore, the correlation between different social commerce platforms can significantly affect the business performance of high-price range restaurant groups. Finally, the level of online review sentiment has been found to influence customer decision-making across all restaurant types significantly. Conclusions: The study emphasizes that restaurants' characteristics based on their price level differ significantly, and social commerce platforms have the potential to affect one another. It is worth noting that the sentiment expressed in online reviews has a more significant impact on customer decision-making than any other factor, regardless of the type of restaurant in question.

• 패션비즈니스
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• 제19권1호
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• pp.106-121
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• 2015

The purpose of this study is to classify the attitudes toward fast fashion into groups and analyze the differences of the self-consciousness, and make-up behavior by groups. Questionnaires are being administered from 179 high school girls living in Deagu metropolitan City. Frequency, factor analysis, reliability analysis, cluster analysis, ANOVA, Duncant-test, and ${\chi}^2$-test are all used for data analysis. Our findings are as follows. The attitude toward fast fashion shows a significant correlation with the sub-variable self-consciousness and make-up behavior. Attitude toward fast fashion is being categorized into convenience focus, fashion focus, design focus, and season focus. Self-consciousness is social self-consciousness, social anxiety, private self-consciousness, and private anxiety. Make-up behavior is positive effect, fashion leader, and conformity. Attitude toward fast fashion is classified into three groups: disposability, fashionability, and low interest of fashion. The groups show a significant difference in the self-consciousness, and make-up behavior. Groups display no distinctions between the sub-variables in the actual conditions of cosmetics such as a first time for make-up and frequence of visit.

• 한국IT서비스학회지
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• 제14권3호
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• pp.49-65
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• 2015

As South Korean large business groups, also known as Chaebol, have broadened their influence in the domestic economy, it is important to analyze the influence of internal transactions among Chaebol affiliates on their performance. In this paper, relationship between internal transactions and efficiency of Chaebol affiliates has been analyzed. Top five Chaebol groups in South Korea are selected; they include Samsung, Hyundai Motors, LG, SK, and Lotte group. Based on internal transactions among affiliates, social networks are constructed for each Chaebol group to analyze centrality, network structures and cliques. Data Envelopment Analysis (DEA) was conducted to examine the efficiency of the Chaebol affiliates. Then, correlations between the degree centrality and the efficiency of Chaebol affiliates were analyzed, and the network structures of Chaebol groups are presented. The result shows that positive correlations between degree centrality and efficiency are observed among four Chaebol Groups. This paper shows that the Social Network Analysis (SNA) techniques can be used in the empirical research for the analysis of internal transactions of Chaebol groups.

• 산학경영연구
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• 제6권
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• pp.201-228
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• 1993

본 연구의 주 목적은 기업과 관련한 종교집단(기독교, 불교, 무종교)들이 기업의 준조세적 지출항목과 자발적 지출항목 및 각각의 금액에 대해 기업규모별로 어떠한 태도를 보이는가를 분석하기 위한 것이다. 연구방법은 설문지를 이용한 조사연구 방법을 사용하였으며, 자료분석 방법은 비 모수적 통계기법인 크루스칼-왈리스 검정과 월칵슨 부호검정을 사용하였다. 본 연구의 결과, 사회관련 지출항목 및 금액에 대해 기업규모별로 종교집단과 무종교집단간, 그리고 기독교 집단과 다른 집단간의 태도의 차이는 통계적으로 유의적인 차이가 아니었다. 이것은 우리나라에서 종교가 갖고 있는 사회윤리가 종교집단 구성원에게 체화되지 못함으로써 종교집 단간, 그리고 무종교집단과 구별되는 의식과 태도를 보이지 못하는 것에 기인하지 않을까 추론된다. 따라서 본 연구가 갖고 있는 한계안에서, 종교집단이라는 변수는 우리나라 사람들의 가치에 대한 태도를 연구할 때에 무시될 수 있는 변수라는 것을 시사한다.

• 패션비즈니스
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• 제19권6호
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• pp.14-27
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• 2015

This study explores the comparison of body image, body satisfaction, and clothing behaviors between Korean and British young women. Body image was measured by two methods: visual and verbal. For the data analysis, the Statistical Package for Social Science (SPSS) Version 16.0 for Windows was used to provide descriptive statistics, an independent sample t-test, and paired sample t- tests were applied in this study. Our results show that Korean and British female college students perceived ideal-body images that were smaller than their self defined body images. The ideal and self-images were significantly different in both groups. Both groups were dissatisfied with their own body size. The study was limited to a small sample size. Future studies using more participants from a more diverse age group and ethnic groups are recommended. The study will help marketers and retailers develop new products and new markets aimed at Korean and British women related to body image and body satisfaction.

• 한국전자거래학회지
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• 제14권4호
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• pp.35-45
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• 2009

국내 ASP(Application Service Provider) 산업은 지난 10년 동안 정부 주도하에 중소기업을 대상으로 급 성장하였다. 그러나 최근 ASP 서비스 업체의 지속적 적자 및 이용업체의 가입 정체 등으로 ASP 산업이 침체되고 있다. 따라서 본 논문에서는 ASP 시장 규모 및 시장성장률의 BCG 매트릭스를 이용하여 핵심 서비스 군을 도출하고 이 서비스 군을 대상으로 집중 인터뷰(Focused Group Interview)를 통하여 핵심 성공 요소를 파악하여 ASP 산업의 활성화 방향과 차세대 ASP로 지칭되는 SaaS(Software as a Service)로의 발전방향을 모색하고자 한다.

• 패션비즈니스
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• 제15권5호
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• pp.28-42
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• 2011

The purpose of this study was to classify cosmetics shopping propensity and analyze the relationship between cosmetics shopping propensity typology, cosmetics behavior, and purchasing behavior of female cosmetics consumers. Questionnaires were administered to 455 famale consumers living in Deagu and Kyungbook province. Data were analyzed by using frequency, factor analysis, cluster analysis, correlation analysis, $X^2$-test, ANOVA, and Duncan-test. The findings are as follows. Cosmetics shopping propensity typologies of female consumers were classified into four groups such as economic, band loyalty, passive, and impulse display shopping. In the relationship of the cosmetics shopping propensity was related to the sub-variables of cosmetics behavior. Cosmetics shopping propensity groups showed different all the sub-variables of cosmetics behavior factors. Cosmetics shopping propensity groups showed connected with the sub-variables of cosmetics purchasing behavior factors.