• Title/Summary/Keyword: Causal Model Analysis

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Development of Tunnel Construction Cost Model Using System Dynamics (시스템 다이내믹스를 이용한 터널공사비 모델 개발)

  • Park, Yong-Woo;Park, Hee-Sung
    • The Journal of the Korea Contents Association
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    • v.12 no.4
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    • pp.468-475
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    • 2012
  • Construction cost of tunnel is decided on construction area, site conditions, and construction methods. However, there is few research on developing models to estimate early construction costs. Therefore, this paper presents a model for early estimation tool for NATM tunnel using system thinking. The effect factors for tunnel construction cost were defined and the causal map is developed. Then empirical case analysis were performed to identify the cost difference due to tunnel length, excavation volume, and rock quality. The proposed model would be an alternative to estimate early construction cost of NATM tunnel.

A Study on the Privacy Concern of e-commerce Users: Focused on Information Boundary Theory (전자상거래 이용자의 프라이버시 염려에 관한 연구 : 정보경계이론을 중심으로)

  • Kim, Jong-Ki;Oh, Da-Woon
    • The Journal of Information Systems
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    • v.26 no.2
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    • pp.43-62
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    • 2017
  • Purpose This study provided empirical support for the model that explain the formation of privacy concerns in the perspective of Information Boundary Theory. This study investigated an integrated model suggesting that privacy concerns are formed by the individual's disposition to value privacy, privacy awareness, awareness of privacy policy, and government legislation. The Information Boundary Theory suggests that the boundaries of information space dependends on the individual's personal characteristics and environmental factors of e-commerce. When receiving a request for personal information from e-commerce websites, an individual assesses the risk depending on the risk-control assessment, the perception of intrusion give rise to privacy concerns. Design/methodology/approach This study empirically tested the hypotheses with the data collected in a survey that included the items measuring the constructs in the model. The survey was aimed at university students. and a causal modeling statistical technique(PLS) is used for data analysis in this research. Findings The results of the survey indicated significant relationships among environmental factors of e-commerce websites, individual's personal privacy characteristics and privacy concerns. Both individual's awareness of institutional privacy assurance on e-commerce and the privacy characteristics affect the risk-control assessment towards information disclosure, which becomes an essential components of privacy concerns.

A Pathway of Career Maturity in Elementary School Children (초등학생의 진로성숙도에 대한 경로분석)

  • Chae, Jin-Young
    • Journal of Families and Better Life
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    • v.28 no.2
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    • pp.111-121
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    • 2010
  • This study examined the variables that influence career maturity in elementary school students and tested a hypothetical structural equation model relating the variables to career maturity. The subjects were 2,771 fourth-grade children(1,494 boys and 1,277 girls) who participated in a Korea Youth Panel Survey(KYPS) in 2004. Data were analyzed through frequency, percentages, Pearson's correlations using SPSS 15.0and structural equation modeling with AMOS7.0. The findings are as follows. The proposed model, as revised, demonstrated the effectiveness of an analysis of the structural equation model, and illustrated that the socio-economic status of parents has only an indirect influence on children's career maturity via relationship with parents, children's self-image or academic work. In addition, relationship with parents, children's self-image, and academic work independently affected children's career maturity both directly and indirectly. Based on the causal relationships among these related variables, the findings reveal that the best pathway towards children's career maturity is in the order of socio-economic status, relationship with parents, children's self-image, and children's academic work.

Evaluating Information Technology Systems Using Consumer Surveys: The Role of Personal Product Knowledge

  • Byun, Sookeun
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.4
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    • pp.117-125
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    • 2018
  • As various types of information technology systems are becoming more pervasive than ever, many studies have evaluated the systems from the user perspective. Some of them have used surveys to measure consumers' cognitive responses to the target technology. However, this method may cause problems if the survey participants do not have a useful frame of reference for evaluating an unfamiliar system. To examine this issue, the current study empirically tested the effect of personal product knowledge on the predictability of a behavioral model, such as Technology Acceptance Model. A series of measurement invariance tests as well as multi-group comparison tests were conducted for rigorous examination of the data. Our analysis showed that the variance of attitude that is explained by the two believes (perceived usefulness and ease of use) was relatively small when the survey respondents had lower amount of product knowledge. Moreover, the group had weaker causal relationship between attitude and intention to use the technology, hindering the predictability of the research model. The results indicated that respondents should have a certain amount of knowledge of the target system in order to form accurate beliefs and behavioral decisions. The findings of this study provide important implications on sampling strategies for researchers with new technology.

Feature Based Decision Tree Model for Fault Detection and Classification of Semiconductor Process (반도체 공정의 이상 탐지와 분류를 위한 특징 기반 의사결정 트리)

  • Son, Ji-Hun;Ko, Jong-Myoung;Kim, Chang-Ouk
    • IE interfaces
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    • v.22 no.2
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    • pp.126-134
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    • 2009
  • As product quality and yield are essential factors in semiconductor manufacturing, monitoring the main manufacturing steps is a critical task. For the purpose, FDC(Fault detection and classification) is used for diagnosing fault states in the processes by monitoring data stream collected by equipment sensors. This paper proposes an FDC model based on decision tree which provides if-then classification rules for causal analysis of the processing results. Unlike previous decision tree approaches, we reflect the structural aspect of the data stream to FDC. For this, we segment the data stream into multiple subregions, define structural features for each subregion, and select the features which have high relevance to results of the process and low redundancy to other features. As the result, we can construct simple, but highly accurate FDC model. Experiments using the data stream collected from etching process show that the proposed method is able to classify normal/abnormal states with high accuracy.

The COVID-19 Pandemic and Instability of Stock Markets: An Empirical Analysis Using Panel Vector Error Correction Model

  • ABDULRAZZAQ, Yousef M.;ALI, Mohammad A.;ALMANSOURI, Hesham A.
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.4
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    • pp.173-183
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    • 2022
  • The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the long-run relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.

A Study on the Authenticity, Job Satisfaction, Organizational Commitment, Quality of Life and Job Performance of the Business Sport Team Players

  • Min-Kyu, Choi;Kyung-Won, Byun
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.181-189
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    • 2022
  • The purpose of this study is to verify study models and examine a causal relationship among authenticity, job satisfaction, organizational commitment, quality of life and job achievement for amateur business team player. In order to achieve the purpose, this study conducted structural equation model analysis for study models consisting of extraneous variables after examining the authenticity(organization, leader) that amateur business players perceive and endogenous variables including job satisfaction, organizational commitment, quality of life, and job performance. The object of questionnaires in this study selected sports business team players nationwide as a population and 348 players were chosen as final effective samples by applying a convenient sampling method for offline and online questionnaires. The research tool for this study is a questionnaire. The two dimensions of authenticity were used by developing a scale. For all endogenous variables, the scales used in previous studies were modified and used according to the purpose of the study. This study analyzed the collected data, applying SPSS Win ver. 23.0 and AMOS 20.0 programs in order to analyze the characteristics of the study objects, describe questionnaires, and verify selected study hypothesis, individual hypothesis was verified after identifying the reliability and validity of measurement model, and the fitness verification of study models. In the results, all of the 8 hypothesis were adopted and the reciprocal relationship among each factors in the study model were observed.

Measuring the Mediated Effects of Attitude toward Fish Eating, Health Involvement and Convenience on the Relationship between Fish Consumption and Age (생선 소비와 연령의 관계에 미치는 생선 섭취태도, 건강몰입과 편의성의 매개효과 평가)

  • Ko, Beom-Seok;Kang, Jong-Heon
    • Journal of the Korean Society of Food Culture
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    • v.22 no.3
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    • pp.309-314
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    • 2007
  • The purpose of this study was to measure the effects of attitude toward fish eating, Health involvement and convenience on the relationship between fish consumption and age. A total of 235 questionnaires were completed. Structural equation model was used to measure the causal relationships between constructs. Results of the study demonstrated that the structural equation analysis result for the data also indicated excellent model fit. The effects of age on involvement and convenience were statistically significant. The effects of age on attitude and consumption was not statistically significant. As expected, the involvement had a significant effect on attitude and consumption. The attitude and convenience had a significant effect on consumption. The effect of involvement on convenience was not statistically significant. Moreover, the attitude, involvement and convenience played a mediating role in the relationship between consumption and age. The involvement played a mediating role in the relationship between attitude and age. The involvement played no mediating role in the relationship between convenience and age. The attitude and convenience played no mediating role in the relationship between consumption and involvement.

Research on Ways to Revitalize Traditional Markets by Exploring Research Trends (연구동향 탐색을 통한 전통시장 활성화 방안 연구)

  • Choon-Ho LEE;Hoe-Chang YANG
    • The Journal of Economics, Marketing and Management
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    • v.11 no.4
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    • pp.53-63
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    • 2023
  • Purpose: The purpose of this study is to examine the research trends in the papers published by Korean researchers related to traditional markets, to check what topics have been studied, and to make various suggestions for research directions and effective ways to revitalize traditional markets. Research design, data and methodology: To this end, this study conducted word frequency analysis, co-occurrence frequency analysis, BERTopic, LDA, dynamic topic modeling and OLS regression analysis using Python 3.7 on the English abstracts of a total of 502 papers extracted through ScienceON. Results: As a result of word frequency analysis and co-occurrence frequency analysis, it was found that studies related to traditional markets have been conducted not only on factors related to customers, but also on traditional market merchants and government policies, and the degree of service, quality, and satisfaction perceived by customers using traditional markets. Through BERTopic and LDA, three topics such as 'Traditional market safety management' were identified, and among them, it was found that 'Traditional market safety management' is relatively less attention by researchers. Conclusions: The results of this study suggest that future research on the revitalization of traditional markets should be conducted from a specific consulting perspective along with the establishment of various data, a causal model study from various perspectives such as the characteristics of merchants as well as consumers, and an integrated and convergent approach to policy formulation by the government and local governments.

Effects of ESG Management of Retail Companies on Consumer Values and Attitudes

  • Choo Yeon KIM;Ji Min PYO;Seong Soo CHA
    • Journal of Distribution Science
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    • v.21 no.4
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    • pp.113-119
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    • 2023
  • Purpose: This study aims to investigate the effect of retailer's ESG performance on consumption value. The research analyzed the effect of consumption value that can be obtained through ESG management of retail companies on consumer attitude and repurchase intention. Research design, data, and methodology: A research model and hypothesis were established, and statistical analysis was performed on a total of 278 samples of all age groups. To secure the reliability and validity of the data, confirmatory factor analysis and discriminant validity analysis were performed, and the causal relationship of latent variables was verified through path analysis. Results: As a result of the analysis, it was found that among the characteristics of consumption value according to ESG management, social value, economic value, accessible value, and eco-friendly value had an effect on social contribution attitude. Also, the economic value was found to have an effect on the self-actualization attitude, and both the social contribution attitude and the self-actualization attitude have an effect on the purchase intention. Conclusions: This study empirically analyzed the value of ESG management in the retail industry that consumers are paying attention to recently. This will serve as a basis for revising and supplementing the retail companies' strategy in the near future.