• Title/Summary/Keyword: PLS Structural Equation

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A Study on the Structural Equation Model for Determinants of Oral Health Practice in Adults Aged 20 Years or Older (20세 이상 성인의 구강건강실천 결정요인에 관한 구조방정식 모형연구)

  • Heo, Seong-Eun
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.161-174
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    • 2017
  • This study aimed to provide basic data for oral health promotion in adults by analyzing causal relationships for oral health practice determinants. A total of 204 questionnaires obtained from adults living in Busan and Gyeongnam area were analyzed to verify the study model with the Smart PLS v2.0 M2 software. Among oral health belief factors, the severity of and susceptibility to oral disease and benefit of oral care behavior affected oral health-related self-efficacy. The self-efficacy on ordinary oral health care behavior significantly affected overall oral health practice. The severity of and susceptibility to oral disease and benefit of oral disease prevention behavior affected toothbrushing habit and oral examination and training through toothbrushing-related self-efficacy. Therefore, the increased oral health-related self-efficacy through strategic efforts, including various training media development, with improved awareness of oral health belief by continuous oral health care program development will lead to continuous oral health practice in adults.

Effects of Intensive Care Experience on Post-Intensive Care Syndrome among Critical Care Survivors : Partial Least Square-Structural Equation Modeling Approach (집중치료 경험이 중환자실 생존자의 집중치료 후 증후군에 미치는 영향: PLS-구조모형 적용)

  • Young Shin, Cho;Jiyeon Kang
    • Journal of Korean Critical Care Nursing
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    • v.17 no.1
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    • pp.30-43
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    • 2024
  • Purpose : Post-intensive care syndrome (PICS) is characterized by a constellation of mental health, physical, and cognitive impairments, and is recognized as a long-term sequela among survivors of intensive care units (ICUs). The objective of this study was to explore the impact of intensive care experience (ICE) on the development of PICS in individuals surviving critical care. Methods : This secondary analysis utilized data derived from a prospective, multicenter cohort study of ICU survivors. The cohort comprised 143 survivors who were enrolled between July and August 2019. The original study's participants completed the Korean version of the ICE questionnaire (K-ICEQ) within one week following discharge from the ICU. Of these, 82 individuals completed the PICS questionnaire (PICSQ) three months subsequent to discharge from hospital. The influence of ICE on the manifestation of PICS was examined through Partial Least Squares-Structural Equation Modeling (PLS-SEM). Result : The R2 values of the final model ranged from 0.35 to 0.51, while the Q2 values were all greater than 0, indicating adequacy for prediction of PICS. Notable pathways in the relationship between the four ICE dimensions and the three PICS domains included significant associations from 'ICE-awareness of surroundings' to 'PICS-cognitive', from 'ICE-recall of experience' to 'PICS-cognitive', and from 'ICE-frightening experiences' to 'PICS-mental health'. Analysis found no significant moderating effects of age or disease severity on these relationships. Additionally, gender differences were identified in the significant pathways within the model. Conclusion : Adverse ICU experiences may detrimentally impact the cognitive and mental health domains of PICS following discharge. In order to improve long-term outcomes of individuals who survive critical care, it is imperative to develop nursing interventions aimed at enhancing the ICU experience for patients.

Evaluating meteorological and hydrological impacts on forest fire occurrences using partial least squares-structural equation modeling: a case of Gyeonggi-do (부분최소제곱 구조방정식모형을 이용한 경기도 지역 산불 발생 요인에 대한 기상 및 수문학적 요인의 영향 분석)

  • Kim, Dongwook;Yoo, Jiyoung;Son, Ho Jun;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.54 no.3
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    • pp.145-156
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    • 2021
  • Forest fires have frequently occurred around the world, and the damages are increasing. In Korea, most forest fires are initiated by human activities, but climate factors such as temperature, humidity, and wind speed have a great impact on combustion environment of forest fires. In this study, therefore, based on statistics of forest fires in Gyeonggi-do over the past five years, meteorological and hydrological factors (i.e., temperature, humidity, wind speed, precipitation, and drought) were selected in order to quantitatively investigate causal relationships with forest fire. We applied a partial least squares structural equation model (PLS-SEM), which is suitable for analyzing causality and predicting latent variables. The overall results indicated that the measurement and structural models of the PLS-SEM were statistically significant for all evaluation criteria, and meteorological factors such as humidity, temperature, and wind speed affected by amount of -0.42, 0.23 and 0.15 of standardized path coefficient, respectively, on forest fires, whereas hydrological factor such as drought had an effect of 0.23 on forest fires. Therefore, as a practical method, the suggested model can be used for analyzing and evaluating influencing factors of forest fire and also for planning response and preparation of forest fire disasters.

Analysis of Public System's Quality and User Behavior Using PLS-MGA Methodology : An Institutional Perspective (PLS-MGA 방법론을 활용한 제도론적 관점에서의 공공제도 품질과 사용자 행태의 분석)

  • Lee, Jae Yul;Hwang, Seung-June
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.2
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    • pp.78-91
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    • 2017
  • In this study, we conducted a comparative study on user's perception and behavior on public system service (PSS) using institutionalism theory and MGA (multi-group analysis) methodology. In particular, this study focuses on how institutional isomorphism is applied to public system services and how MGA can be implemented correctly in a variance based SEM (structural equation model) such as PLS (partial least square). A data set of 496 effective responses was collected from pubic system users and an empirical research was conducted using three segmented models categorized by public proximity theory (public firms = 113, government contractors = 210, private contractors = 173). For rigorous group comparisons, each model was estimated by the same indicators and approaches. PLS-SEM was used in testing research hypotheses, followed by parametric and non-parametric PLS-MGA procedures in testing categorical moderation effects. This study applied novel procedures for testing composite measurement invariance prior to multi-group comparisons. The following main results and implications are drawn : 1) Partial measurement invariance was established. Multi-group analysis can be done by decomposed models although data can not be pooled for one integrated model. 2) Multi-group analysis using various approaches showed that proximity to public sphere moderated some hypothesized paths from quality dimensions to user satisfaction, which means that categorical moderating effects were partially supported. 3) Careful attention should be given to the selection of statistical test methods and the interpretation of the results of multi-group analysis, taking into account the different outcomes of the PLS-MGA test methods and the low statistical power of the moderating effect. It is necessary to use various methods such as comparing the difference in the path coefficient significance and the significance of the path coefficient difference between the groups. 4) Substantial differences in the perceptions and behaviors of PSS users existed according to proximity to public sphere, including the significance of path coefficients, mediation and categorical moderation effects. 5) The paper also provides detailed analysis and implication from a new institutional perspective. This study using a novel and appropriate methodology for performing group comparisons would be useful for researchers interested in comparative studies employing institutionalism theory and PLS-SEM multi-group analysis technique.

Exploring the Information-Sharing Intention on Social Networking Sites

  • Shu-Mei Tseng
    • Asia pacific journal of information systems
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    • v.33 no.2
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    • pp.367-388
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    • 2023
  • This study aimed to examine the factors of information-sharing intention on social networking sites (SNSs) by integrating the perspectives of the institution-based trust, social presence, and theory of reasoned action (TRA). An empirical survey was conducted and 364 valid respondents were collected from Facebook (FB) users in Taiwan. These data were analyzed against the research model using the partial least squares (PLS) structural equation modeling. The findings revealed that situational normality and structural assurance have a positive influenced user trust in SNSs which in turn increased their information-sharing attitudes. Furthermore, the subjective norms, user information-sharing attitudes and social presence of the SNSs were shown to have a positive influenced on user information sharing intention. Finally, this study provided several important theoretical and practical implications to understand factors affecting information-sharing intention on SNSs.

Analyzing Management Factors on Enterprise Performance

  • Dahlgaard, Jens J.;Ciavolino, Enrico
    • International Journal of Quality Innovation
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    • v.8 no.3
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    • pp.1-10
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    • 2007
  • A sample of Italian manufacturing companies was selected in order to verify the abilities and effects (relationships) of the management factors human resources, leadership and strategic planning on company performance. The Partial Least Squares (PLS) estimation method was used for analyzing the data collected, where the relationships between the management factors and performance were formalized by a Structural Equation Model (SEM). The analysis of the survey data showed unexpected result regarding the non significant direct relationship between Leadership and Performance. The effect of Leadership is obtained by an indirect relationship through Human Resources. The combination of Leadership and Human Resources has hence been identified as the management factors which have the highest impact on the performance of Italian industrial companies. Another interesting and unexpected result was that there was no significant impact of Strategic Planning on Performance. It seems that the leaders of Italian industrial companies have not understood that good strategic planning is a necessary condition for achieving excellence. So another improvement area is in fact Strategic Planning. This area should have the highest priority of any top management team and the focus should include how to establish a strong relationship between strategic planning and performance. No correlation between strategic planning and performance is a strong indication that something is wrong. It is not enough that Leadership is doing Strategic Planning-Leadership is also about studying and follow up on results in order to assure impacts on performance. This link seems to be missing in Italian industrial companies.

Measurement of a Customer Satisfaction Index for Improvement of Mobile RFID Services in Korea

  • Park, Yong-Jae;Heo, Pil-Sun;Rim, Myung-Hwan
    • ETRI Journal
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    • v.30 no.5
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    • pp.634-643
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    • 2008
  • One of the ubiquitous technology fields that have received the most attention recently from technology communities worldwide is mobile radio frequency identification (RFID). Mobile handsets loaded with RFID readers enable the identification and retrieval of information on RFID tagged objects. In Korea, a variety of mobile RFID services are currently being piloted, and their commercial roll-out looks imminent. The goal of this study is to propose, ahead of the commercial launch of mobile RFID services, a customer satisfaction index (CSI) model for this service category and to then measure the CSI to derive practical implications for their providers and pointers related to the improvement of service. A web survey was conducted on Korean mobile phone subscribers who had participated in a mobile RFID pilot program. Using the results of this survey, we tested the CSI model and its hypotheses by employing a partial least-squares-based structural equation model analysis and calculated the index. We further conducted an importance-performance analysis in order to provide insights that may be useful for improving the quality of mobile RFID services.

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Information Effect on Organic Vegetable Purchase Interest through Consumer Preferences and Awareness

  • ADAWIYAH, Rabiatul;NAJIB, Mukhamad;ALI, Mochammad Mukti
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.1055-1062
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    • 2021
  • This study aims to determine the effect of consumer preferences and awareness on interest in organic vegetables. Factors observed in this study were information, consumer preferences, consumer awareness, and consumer buying interest toward organic vegetables. This research uses descriptive quantitative method. The data sampling technique uses accidental sampling method. The data was collected from respondents consisted of 100 consumers of five major retailers in the city of Bogor in Indonesia. The respondents consist of 80 female (80%), and 57 respondents are 25-34 years old (57%). In terms of education, type of job and monthly income of respondent, the sample can be categorized as middle-class segment. The data obtained were analyzed using Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that the information obtained by consumers significantly and positively affects consumer preferences and consumer awareness of organic vegetables. Then, consumer preferences and consumer awareness significantly and positively affect the interest of consumers to buy organic vegetables. Consumer preference for organic vegetables is still considered quite low. The factors that influence the low consumer preference are the price of organic vegetables, which is more expensive than non-organic vegetables and the unattractive packaging of organic vegetables.

The Role of Islamic Business Ethics and Market Condition on Organizational Performance

  • BULDAN, Hamdi;HAMID, Edy Suandi;SRIYANA, Jaka;TOHIRIN, Achmad
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.781-790
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    • 2021
  • The purpose of this study is to test empirically the effect of Islamic business ethics and market conditions on organizational performance in state-owned construction companies in Indonesia. Data collection in this study was conducted online and the total number of data used was 81 respondents, both directors, heads of departments, and managers (general and project). This study uses a partial least squares structural equation model (PLS-SEM) with a quantitative approach that aims to test hypotheses and relationships between variables, such as Islamic business ethics, market conditions, project management, organizational culture, competitive strategy, and organizational performance. This study shows Islamic business ethics has a significant direct effect on organizational performance. Market conditions do not have a direct significant effect on organizational performance. Meanwhile, the mediating variables of project management and competitive strategy have a significant direct effect on organizational performance. Organizational culture does not have a significant influence on organizational performance. Conversely, market conditions have a significant influence through the mediating variables of project management and competitive strategy on organizational performance. Besides, this study is an attempt to determine the impact of the criteria factors affecting the measurement of the performance of construction organizations in Indonesia in terms of the external environment and organizational structure.

Factors Influencing Social and Economic Performance of Social Enterprises (사회적기업의 사회적·경제적 성과에 미치는 영향요인: 사회적미션, 고객지향성, 사회적네트워크, 비즈니스모델)

  • Kim, Hyeong-Min
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.1-9
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    • 2021
  • The purpose of this study is to present the necessary success strategies for the social economy ecosystem and social enterprise stakeholders by empirically examining the structural relationship of factors that affect the sustainable dual performance of social enterprises. Through previous studies, hypotheses and research models were established for the performance factors of social enterprises, and hypothesis testing was performed using PLS-Structural Equation Modeling on 92 sample data collected from the survey. As a result of the analysis, it was found that the social mission, customer orientation, and social network set as performance factors all had a significant positive (+) effect on social performance. In addition, social performance had a significant (+) effect on economic performance by mediating customer orientation and social network excluding social mission, and it was found that the business model strengthened this relationship. In addition to the theoretical significance of demonstrating the structural influence of social enterprise performance factors through this study, practical implications can be found in that it suggests factors that social entrepreneurs should focus on for growth and performance creation.