• Title/Summary/Keyword: Structural Equation Modeling (SEM)

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The Effects of Consumption Values and Well-being Attitude on Well-being Oriented Behavior (소비가치, 웰빙태도가 웰빙지향행동에 미치는 영향)

  • Park, Kwang-Hee
    • Fashion & Textile Research Journal
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    • v.13 no.1
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    • pp.73-81
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    • 2011
  • The purpose of this study was to examine the effect of consumption values on well-being attitude and the effect of well-being attitude on well-being oriented behavior. This study administered a questionnaire survey to adults between 10s and 60s who lived in Seoul, Daegu, and Kyungbuk region. Data collected from 285 respondents were analyzed by descriptive statistics, t-tests, ANOVA tests, factor analyses, and structural equation modeling (SEM). The model of the study was tested by structural equation modeling and the results of SEM revealed positive effects of social value and functional value on well-being attitude and positive effect of well-being attitude on well-being oriented behavior. The results of t-tests and ANOVA tests showed that there were significant differences in consumption values, well-being attitude, and well-being oriented behavior among marital status, age, educational level, and income level groups.

Effect of Difference Education Quality on Student Satisfaction and Student Loyalty (차별적인 교육품질이 학생만족과 학생 충성도에 미치는 영향)

  • Kim, Gye-Soo
    • Journal of Korean Society for Quality Management
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    • v.41 no.1
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    • pp.53-68
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    • 2013
  • Purpose: The paper presents research that examine relationship difference education quality, satisfaction, loyalty in university education sector. Specifically, the effects of difference education quality on student satisfaction and loyalty in the context of education quality are examined. Methods: A model of difference education quality effect on student satisfaction and loyalty is introduced and tested in the university using student perceptions of provider. Questionnaire was developed, and data was collected and analyzed for this study with SEM(Structural Equation Modeling). Results: The results are as follows: Education capability, BNIE(Business Newspaper In Education) are significantly influenced on student satisfaction. In addition, student satisfaction is significantly influence on external customer satisfaction, professor image. Professor image is significantly influence on student loyalty. Conclusion: Upon learning of student need and want, professor can focus on development of difference education quality based on student need and want.

Unveiling the Effects of ICT Adoption in the Apparel Sector of Bangladesh Based on Technology-Organization-Environment Framework

  • S.M. Shafiul Alam
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.977-998
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    • 2023
  • The study is based on the technology-organization-environment (TOE) model which, attempted to determine the factors that are going to influence ICT adoption. The proposed research model evaluates the interplay among technological context (IT infrastructure, system security, and user capacity), organizational context (top management commitment, and innovations strategies), environmental context (quick response to the external agencies, interactive network infrastructure, and competitive pressure) and ICT adoption (productivity growth, organizational change, and competitiveness). Data were collected from 243 senior executives of full member firms of the Bangladesh Garments and Manufacturers Association (BGMEA) of examining the relationships among the constructs in the proposed framework utilizing structural equation modeling (SEM). The analysis of TOE factors revealed that environmental, organizational, and technological factors have a significant impact on the successful implementation of ICT tools. The study also discusses implications for management practitioners.

The Effect of Intrinsic Motivation on Individuals' Performance and the Mediating Role of Job Stress in the Republic of Korea Army

  • Yongjoon Park;Sunggyun Shin
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.144-157
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    • 2024
  • This study examines the relationship between intrinsic motivation and individuals' performance in the Republic of Korea armed forces and explores whether job stress mediates the relationship between intrinsic motivation and individuals' performance. The research questions are: (1) Does intrinsic motivation influence individual performance in military organizations? (2) Does job stress impact individual performance? and (3) Does job stress mediate the relationship between intrinsic motivation and individual performance? The study utilizes data collected from a 350 soldiers survey in the Special Forces Brigade and Special Assault Commando Regiment of the Republic of Korea's Army. We use structural equation modeling (SEM) to explore the mediation role among intrinsic motivation, job stress, and individuals' performance. Research findings suggest that intrinsic motivation negatively impacts job stress. We also find that job stress has a positive effect on firearm skills. Moreover, the study reveals that the relationship between intrinsic motivation and firearm skills is partially mediated by job stress.

Structural Equation Modeling on Technology Acceptance for New Variety - Case of Forage Crop - (신품종 기술수용의 구조관계 분석 -사료작물 신품종 도입의향 -)

  • Choi, Jong-San;Park, Jae-Hyoung;Yoon, Jin-Woo;Chae, Yong-Woo
    • Journal of Agricultural Extension & Community Development
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    • v.25 no.1
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    • pp.1-13
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    • 2018
  • This study aims to identify factors affecting the acceptance intention of cultivating a new Italian ryegrass(IRG) variety using partial least square structural equation modeling(PLS-SEM) and find priority to maximize the acceptance intention of new IRG variety using importance-performance matrix analysis(IPMA). The data were collected on a seven-point Likert-type from 188 farm households located in Korea central region for two months. As a major result of PLS-SEM, expected effect significantly affected acceptance intention. The IPMA also showed expected effect should be considered as the most important factor to improve the acceptance intention. This study suggested the new technology distributors should scientifically prove and actively promote the effects such as increase in farm income, productivity improvement, labor saving and management efficiency caused by planting new IRG variety.

A Correlational Study of Readers' Perception of Written Materials (Professional reading Materials) using Structural Equation Modeling

  • Shaharuddin, Siti Shukhaila;Lee, Sung-Pil
    • Science of Emotion and Sensibility
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    • v.16 no.4
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    • pp.567-578
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    • 2013
  • The research is a correlational study to look for causes and factors relating to the design of written documents (professional reading materials) and identify those relationships that are useful for communication designers. The research specifically targeted the relationships between perception and reader's past experiences and appearance of the written documents. A preliminary survey, such as interviews, discussions, questionnaires and brainstorming sessions are conducted to establish the observable attributes related to perception which are reader's interests, importance of information and written documents complexity. Finally, the research used Structural Equation Model (SEM) to identify significant differences and analyze strong and weak correlations between these attributes. In general, the results of the study shows that the attribute appearances of a written documents with excellent visualizations for information display shows a strong correlation with interests while the attributes importance is weakly correlated with the complexity of the documents.

Assessment of Drivers' Compliance with Traffic Rules for Roundabouts Using a Structural Equation Modeling (구조방정식을 활용한 회전교차로 통행 규칙 준수 여부 평가)

  • Chung, Younshik;Kim, Jong-Jin;Kim, Seonjung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.2
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    • pp.295-302
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    • 2018
  • Since the history of the South Korea roundabouts is short, there is a possibility that drivers' awareness for the roundabouts (rules of the road, definition, location, etc.) is low, which may affect the compliance with traffic rules. Based on this assumption, the objective of this study is to analyze the relationship between the awareness and the compliance of traffic rules for roundabouts using a structural equation modeling (SEM). To carry out this objective, an online survey was conducted for 526 drivers, who reside in Goyang, Korea, and an SEM was estimated based on the survey data. As a result, it is concluded that awareness of roundabout has a positive impact on the compliance of traffic rules. Additionally, the compliance is found to show a positive relationship with driving experience. Based on the analysis results, an affective approach through soft measures such as awareness campaigns and educations is recommended to effectively address and mitigate the negative issues induced by roundabouts.

Research on the Influence of Game NPC Design Elements on Player Satisfaction (게임 NPC 디자인 요소가 플레이어 만족도에 미치는 영향 연구)

  • Shang, Jiong-Li;Ryu, Seuc-Ho
    • Journal of Industrial Convergence
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    • v.20 no.8
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    • pp.53-59
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    • 2022
  • In order to improve players' satisfaction with the game NPC (Non Plyer Character), a Structural Equation Modeling (SEM) was made, and NPC design elements were analyzed. First, extract the design elements (entertainment, artistry, interaction, and presence) that affect player satisfaction. And it is assumed that these factors will affect the satisfaction of players, and empirical research is carried out through quantitative research ideas. The results of the analysis of the questionnaire survey data show that four elements have a meaningful impact on player satisfaction, and artistry has the greatest impact on player satisfaction. Finally, according to the analysis results, a proposal for NPC design is proposed. It is expected that this research will provide a reference frame for the design direction of NPC in the future.

A Causational Study for Urban 4-legged Signalized Intersections using Structural Equation Method (구조방정식을 이용한 도시부 4지 신호교차로의 사고원인 분석)

  • Oh, Jutaek;Lee, Sangkyu;Heo, Taeyoung;Hwang, Jeongwon
    • International Journal of Highway Engineering
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    • v.14 no.6
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    • pp.121-129
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    • 2012
  • PURPOSES : Traffic accidents at intersections have been increased annually so that it is required to examine the causations to reduce the accidents. However, the current existing accident models were developed mainly with non-linear regression models such as Poisson methods. These non-linear regression methods lack to reveal complicated causations for traffic accidents, though they are right choices to study randomness and non-linearity of accidents. Therefore, to reveal the complicated causations of traffic accidents, this study used structural equation methods(SEM). METHODS : SEM used in this study is a statistical technique for estimating causal relations using a combination of statistical data and qualitative causal assumptions. SEM allow exploratory modeling, meaning they are suited to theory development. The method is tested against the obtained measurement data to determine how well the model fits the data. Among the strengths of SEM is the ability to construct latent variables: variables which are not measured directly, but are estimated in the model from several measured variables. This allows the modeler to explicitly capture the unreliability of measurement in the model, which allows the structural relations between latent variables to be accurately estimated. RESULTS : The study results showed that causal factors could be grouped into 3. Factor 1 includes traffic variables, and Factor 2 contains turning traffic variables. Factor 3 consists of other road element variables such as speed limits or signal cycles. CONCLUSIONS : Non-linear regression models can be used to develop accident predictions models. However, they lack to estimate causal factors, because they select only few significant variables to raise the accuracy of the model performance. Compared to the regressions, SEM has merits to estimate causal factors affecting accidents, because it allows the structural relations between latent variables. Therefore, this study used SEM to estimate causal factors affecting accident at urban signalized intersections.

The study of smart-media acceptance model for teachers in special education based on personal innovativeness and social influence (개인의 혁신성과 사회적 영향 관점에서 특수교사들의 스마트미디어 수용에 관한 연구)

  • Han, Dong-Wook;Kang, Min-Chae
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.75-83
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    • 2012
  • The aim of this study is to test the behavioral acceptance of adopting smart-media for special education teachers on the points of personal innovativeness and social influence with structural equation modeling(SEM). The corelation of factors such as personal innovativeness, social influence, performance expectancy and behavioral intention are significant. The results of SEM analysis show that the direct impact of social influence on performance expectancy and behavioral intention is significant. The indirect impact of social influence toward behavioral intention through performance expectancy is also significant. However, the personal innovativeness is not statistically significant factor affecting performance expectancy and behavioral intention.