• Title/Summary/Keyword: Reliability Indicators

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The Influence of Characteristics of Beauty Influencers' Social Media Contents on Color Cosmetics Purchase Intention - Focusing on the Millennial Generation - (뷰티인플루언서의 뷰티콘텐츠특성이 색조화장품 구매의도에 미치는 영향 - 밀레니얼세대를 중심으로 -)

  • Eun-Seo Heo;Hyun-jin Jeon
    • Fashion & Textile Research Journal
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    • v.25 no.1
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    • pp.104-112
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    • 2023
  • This study attempted to investigate the characteristics of beauty influencers' social media contents and examine their influence on color cosmetics purchase intention. For this, female millennials who have shown an interest or subscribed beauty contents on social media platforms as followers were selected by convenience sampling. In terms of a research method, a self-administered questionnaire was performed from September 19 to 30, 2022. Among a total of 220 questionnaires distributed, 200 copies excluding poorly answered ones were used for final analysis. The collected data were analyzed by frequency analysis, descriptive statistics, factor analysis, reliability analysis, correlation analysis and multiple regression analysis, using SPSS 24.0, and the results found the followings: First, concerning characteristics of beauty influencers' beauty contents, five factors were derived: reliability, professionalism, social attractiveness, attractive appearance, sympathy In purchase intention, on the contrary, two factors were obtained: base makeup, point makeup. Second, regarding the effects of characteristics of beauty contents on color cosmetics purchase intention, 'professionalism (β = -.170 p = .015)' and 'physical attractiveness (β = -.148, p = .037)' revealed a negative influence with statistical significance. Through the result, by demonstrating the effect on the intention to purchase color cosmetics based on the beauty contents feature of the beauty influencer, it is considered that the purchasing power of the color cosmetics industry will continue to increase and help to suggest more effective color cosmetics promotion ways and indicators which companies can utilize.

An Exploratory Study on the Hierarchical Model of Consumer Orientation

  • Seungbae Park;Jaewon Hong
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.217-227
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    • 2023
  • This study aims to stratify consumer market evaluation items from the Consumer Decision Journey(CDJ) perspective and understand the relationship between laws/systems and consumer orientation through the Korea Consumer Agency's '19 Korea Consumer Markets Evaluation Indicators. This study divided consumer market evaluation items into the selection comparison stage, selection decision stage, and post-purchase experience stage. And present a model that stratified the relationship with consumer orientation of laws/systems and verified using the CDJ model's experience as a control variable. Studies have shown that the relationship between the consumer market evaluation index that evaluates consumer orientation can be stratified according to the consumer decision-making stage and positively affects the relationship with consumer orientation of laws/systems. In addition, the impact of consumer market evaluation variables (reliability, and price) on the consumer orientation of laws/systems was different depending on the presence or absence of consumer damage experience.

Development of Nursing Clinical Judgment Scale (간호사의 임상판단 측정도구 개발)

  • Kwon, Shi Nae;Park, Hyojung
    • Journal of Korean Academy of Nursing
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    • v.53 no.6
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    • pp.652-665
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    • 2023
  • Purpose: This study aimed to develop a nursing clinical judgment scale (NCJS) and verify its validity and reliability in assessing the clinical judgment of nurses. Methods: A preliminary instrument of the NCJS comprising 38 items was first developed from attributes and indicators derived from a literature review and an in-depth/focus interview with 12 clinical nurses. The preliminary tool was finalized after 7 experts conducted a content validity test based on a data from a preliminary survey of 30 hospital nurses in Korea. Data were collected from 443 ward, intensive care unit, emergency room nurses who voluntarily participated in the survey through offline and online for the verification of the construct validity and reliability of the scale. Results: The final scale comprised 23 items scored on a 5-point Likert scale. Six factors - integrated data analysis, evaluation and reflection on interventions, evidence on interventions, collaboration among health professionals, patient-centered nursing, and collaboration among nurse colleagues - accounted for 64.9% of the total variance. Confirmatory factor analysis supported the fit of the measurement model, comprising six factors (root mean square error of approximation = .07, standardized root mean square residual = .04, comparative fit index = .90). Cronbach's α for all the items was .92. Conclusion: The NCJS is a valid and reliable tool that fully reflects the characteristics of clinical practice, and it can be used effectively to evaluate the clinical judgment of Korean nurses. Future research should reflect the variables influencing clinical judgment and develop an action plan to improve it.

The Effects of Enterprise Value and Corporate Tax on Credit Evaluation Based on the Corporate Financial Ratio Analysis (기업 재무비율 분석을 토대로 기업가치 및 법인세가 신용평가에 미치는 영향)

  • Yoo, Joon-soo
    • Journal of Venture Innovation
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    • v.2 no.2
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    • pp.95-115
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    • 2019
  • In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.

The Effect of Foreigner's Ethnic Food Attitudes on Purchasing Intentions of Korean Foods (외국인의 에스닉 푸드에 대한 태도가 한식 구매 의도에 미치는 영향)

  • Kim, Sun-Joo;Lee, Kyung-Hee
    • Journal of the East Asian Society of Dietary Life
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    • v.23 no.3
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    • pp.265-272
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    • 2013
  • In order to globalize Korean foods successfully, it is necessary to understand foreigners' attitudes about ethnic foods and how foreigners perceive Korean foods. It would be valuable to survey the degree of interest from foreigners when purchasing Korean foods. Thus, a survey was performed on the most common tourists in Korea, the Japanese, Chinese and Americans. 313 respondents completed the survey on ethnic foods (16 questions), purchasing intention of Korean foods (3 questions), and socio-demographic conditions (9 questions). Factor analysis and reliability analysis were conducted to identify the indicators of attitudes toward ethnic foods. Correlation analysis was conducted to confirm the relation between attitudes toward ethnic foods and Korean food purchasing intention. From the results of factor analysis, 5 factors emerged from the 13 out of 16 questions; and were labeled new food seekers, ethnic food seekers, familiarity seekers, new taste seekers and challenge seekers. Items were analyzed to determine the differences according to nationality by using the ANOVA, and it showed that Americans have the highest Korean food purchasing intentions. The regression analysis indicated that attitude factors on ethnic foods, new foods and new taste seekers are strongly related to Korean food purchase intentions.

A comprehensive approach to flow-based seismic risk analysis of water transmission network

  • Yoon, Sungsik;Lee, Young-Joo;Jung, Hyung-Jo
    • Structural Engineering and Mechanics
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    • v.73 no.3
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    • pp.339-351
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    • 2020
  • Earthquakes are natural disasters that cause serious social disruptions and economic losses. In particular, they have a significant impact on critical lifeline infrastructure such as urban water transmission networks. Therefore, it is important to predict network performance and provide an alternative that minimizes the damage by considering the factors affecting lifeline structures. This paper proposes a probabilistic reliability approach for post-hazard flow analysis of a water transmission network according to earthquake magnitude, pipeline deterioration, and interdependency between pumping plants and 154 kV substations. The model is composed of the following three phases: (1) generation of input ground motion considering spatial correlation, (2) updating the revised nodal demands, and (3) calculation of available nodal demands. Accordingly, a computer code was developed to perform the hydraulic analysis and numerical modelling of water facilities. For numerical simulation, an actual water transmission network was considered and the epicenter was determined from historical earthquake data. To evaluate the network performance, flow-based performance indicators such as system serviceability, nodal serviceability, and mean normal status rate were introduced. The results from the proposed approach quantitatively show that the water network is significantly affected by not only the magnitude of the earthquake but the interdependency and pipeline deterioration.

A Study on Evaluation of Usefulness of the Automated Cataloging Systems (편목시스템의 유용성 평가에 관한 연구)

  • Lee, You-Jeong
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.1
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    • pp.77-94
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    • 2006
  • The purpose of this study intends to evaluate the usefulness of the automated cataloging systems. For the purpose. this study investigated theoretical methods for the quality criteria and developed 4 evaluation criteria. Also developed were indicators to measure the value of each criteria And the catalogers of academic libraries using three major LAS were carefully chosen to conduct the usefulness tests. The proposed model was verified reliability and validity. This study is suggested guidelines to evaluate and improve the automated cataloging systems.

A Study on in Fashion Brand Flagship Stores Applied to the Formation Interior Design Expression Methods - Focusing Centering on the stylistic image characteristics - (실내디자인 표현방법의 유형화가 적용된 패션 브랜드 플래그쉽 스토어(Flagship store)에 관한 연구 - 양식적 이미지 특성을 중심으로 -)

  • Kang, So-Yeun
    • Korean Institute of Interior Design Journal
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    • v.17 no.6
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    • pp.92-101
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    • 2008
  • In the current age, as the importance of image is increased, brand images are strengthened, and various ways of expressing space are suggested considering the life styles of consumers. Recently, flagship stores are attempting various ways of expressing interior deigns and the flow of life culture, which can maximize the characteristics of image in a large, complex space. Centering on this trend, this study is conducted to explore an objective standard for the stylistic image characteristics reflecting the formative expression trend; to investigate various expression methods of images that are suggested by flagship stores; and to suggest the indicators of design. Based on this background, the formative trend is classified into the expression trends of minimalism and deconstructionism. An image evaluation test was conducted on the selected brand cases by applying the classification, and the following results are obtained from a comparative analysis. In this study, a stylistic analysis of expression methods is suggested from the stylistic image characteristics of each brand as well as from the reliability and validity of the expression trend. It can be concluded that such stylistic image characteristics are important factors in relation with fashion and architecture, and they can be used for differentiating design expression methods.

Prospects and Challenges of Social Media Marketing: Study of Indian Management Institutes

  • Bhandari, Ravneet Singh;Bansal, Sanjeev
    • Asian Journal of Business Environment
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    • v.8 no.4
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    • pp.5-15
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    • 2018
  • Purpose - The research aimed to reveal real decisional behavioral of management institutes in India for social media marketing usage, and analyses of empirical elements of social media consumption pattern. Research design, data, and methodology - The investigation was based around a research methodology using quantitative analysis with appropriate statistical techniques on random surveys of consumers, detailed exploratory and confirmatory factor analyses are applied to assess the empirical validity of the model and multiple regression employed using R studio edition to validate the reliability of the developed models. Results - A new conceptual framework is proposed - the management institutions decision model, providing a tool for effective and more focused decision-making strategies for developing better utilization techniques for social media. Management institutions have different requirements based upon objectives and resources available. The evidence suggests that the administrators need to be more aware of consumer indicators when targeting and designing social media marketing strategy. Conclusions - The research was based on samples and not the entire population of target consumers, providing limitations. As an inferential statistical method was chosen, the results might be susceptible to inaccuracy. The model developed from different age users, thereby providing rich perspectives into social media usage pattern.

Influence line- model correction approach for the assessment of engineering structures using novel monitoring techniques

  • Strauss, Alfred;Wendner, Roman;Frangopol, Dan M.;Bergmeister, Konrad
    • Smart Structures and Systems
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    • v.9 no.1
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    • pp.1-20
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    • 2012
  • In bridge engineering, maintenance strategies and thus budgetary demands are highly influenced by construction type and quality of design. Nowadays bridge owners and planners tend to include life-cycle cost analyses in their decision processes regarding the overall design trying to optimize structural reliability and durability within financial constraints. Smart permanent and short term monitoring can reduce the associated risk of new design concepts by observing the performance of structural components during prescribed time periods. The objectives of this paper are the discussion and analysis of influence line or influence field approaches in terms of (a) an efficient incorporation of monitoring information in the structural performance assessment, (b) an efficient characterization of performance indicators for the assessment of structures, (c) the ability of optimizing the positions of sensors of a monitoring system, and (d) the ability of checking the robustness of the monitoring systems applied to a structure. The proposed influence line- model correction approach has been applied to an integrative monitoring system that has been installed for the performance assessment of an existing three-span jointless bridge.