Structural Relationship Model Research Articles

컨설팅전문기업 경영컨설턴트의 직무자율성, 직무재창조, 개인-직무적합성 및 조직몰입의 구조적 관계

The purpose of this study was to investigate the structural relationship between job autonomy, job crafting, person-job fit, and organizational commitment of management consultants of consulting companies. The instrument consisted of measurement tools used in previous studies and modified to fit the job context of management consultants. The responses of 352 management consultants in consulting companies were utilized in the analysis. Reliability analysis, descriptive statistics analysis, correlation analysis, and multicollinearity analysis were conducted using SPSS 29.0 for Windows. Additionally, confirmatory factor analysis and structural equation modeling were performed using the lavaan package in R. The results of the study are as follows. First, a structural relationship model was derived for predicting the causal relationship between job autonomy, job crafting, person-job fit, and organizational commitment of management consultants in consulting companies. Second, the person-job fit of management consultants was shown to have a direct and positive effect on organizational commitment. Job autonomy and job crafting did not significantly affect organizational commitment. Third, the job autonomy of management consultants was found to have a statistically significant effect on organizational commitment through job crafting and person-job fit. Job autonomy has a significant positive effect on organizational commitment with person-job fit as a single mediation and a significant positive effect on organizational commitment with job crafting and person-job fit as dual mediation. Based on these results, suggestions for enhancing the level of organizational commitment of management consultants and implications for follow-up research were presented.

Structural Relationship Model of Basic Psychological Needs With Intimate Partner Violence: The Mediating Role of Gender Discrimination and Self-Esteem.

Intimate partner violence (IPV) encompasses a range of abusive behaviors within intimate relationships. This study examines the structural relationships between basic psychological needs and IPV victimization among Iranian women, shedding light on the complex factors contributing to IPV and potential avenues for intervention. Data were gathered from a sample of 306 Iranian women who had experienced IPV, utilizing the Domestic Violence Questionnaire, the Basic Psychological Need Satisfaction Scale, the Ambivalent Sexism Inventory, and the Rosenberg Self-Esteem Scale. The findings supported the appropriate fit of the proposed model and revealed that basic psychological needs exerted significant direct and indirect effects on IPV victimization, mediated through self-esteem and ambivalent sexism. These results provide valuable new insights into the complex dynamics of IPV victimization and hold promise for the development of targeted interventions aimed at preventing IPV and supporting the well-being of affected individuals. Furthermore, the interpretation of the findings has been revised to avoid any implication of victim-blaming, aligning with the aim of understanding and addressing the structural factors contributing to IPV victimization.

Influence of molecular descriptors of plant volatilomics on fumigant action against the three major stored product beetle pests.

Plant volatilomics such as essential oils (EOs) and volatile phytochemicals (PCs) are known as potential natural sources for the development of biofumigants as an alternative to conventional fumigant pesticides. This present work was aimed to evaluate the fumigant toxic effect of five selected EOs (cinnamon, garlic, lemon, orange, andpeppermint) and PCs (citronellol, limonene, linalool, piperitone, andterpineol) against the Callosobruchus maculatus, Sitophilus oryzae, and Tribolium castaneum adults. Furthermore, for the estimation of the relationship between molecular descriptors and fumigant toxicity of plant volatiles, quantitative structural activity relationship (QSAR) models were developed using principal component analysis and multiple linear regression. Amongst the tested EOs, garlic EO was found to be the most toxic fumigant. The PCs toxicity analysis revealed that terpineol, limonene, linalool, and piperitone as potential fumigants to C. maculatus (< 20 µL/L air of LC50), limonene and piperitone as potential fumigants to T. castaneum (14.35 and 154.11 µL/L air of LC50, respectively), and linalool and piperitone as potential fumigants to S. oryzae (192.27 and 69.10 µL/L air of LC50, respectively). QSAR analysis demonstrated the role of various molecular descriptors of EOs and PCs on the fumigant toxicity in insect pest species. In specific, dipole and Randic index influence the toxicity in C. maculatus, molecular weight and maximal projection area influence the toxicity in S. oryzae, and boiling point and Dreiding energy influence the toxicity in T. castaneum. The present findings may provide insight of a new strategy to select effective EOs and/or PCs against stored product insect pests.

Modeling the structural relationships of personality traits with speech anxiety in students

Introduction: Speaking anxiety in educational settings is among the most prevalent and important social anxieties playing a critical role in the anxiety experienced by students. Objective: The current study aimed to test the structural relations model of personality traits with speaking anxiety among students. Method: The present research was descriptive-correlational of structural equations type. The statistical population consisted of all undergraduate students of psychology at Islamic Azad University, Babol branch, in the academic year 2021-2022, among them 136 people were selected by the convenience sampling method. McCrae and Costa’s Personality Traits Questionnaire (1985) and Bartholomay and Houlihan’s (2016) Public Speaking Anxiety Scale were used for data collection, and data analysis was performed by structural equation modeling using SPSS software version 18 and Amos software. Results: According to the results, the personality traits of extroversion, openness to experience, conscientiousness, and agreeableness were significantly and negatively related to speaking anxiety (p&lt;0.05), and the personality trait of neuroticism was significantly and positively related to speaking anxiety in students (p&lt;0.05). Also, according to the results of structural equations, extroversion (β=-0.033), conscientiousness (β=-0.162), and agreeableness (β=0.001) negatively and neuroticism (β=0.533) positively affected speaking anxiety. Conclusion: The results demonstrate that personality traits significantly affect speaking anxiety, and the structural relations model has the necessary fit. Therefore, teachers should be aware of personality traits because conducting personality assessment may be very beneficial in directing students in learning and improving speaking.

The Development of Happy Organization Indicators of Private Vocational Colleges in The Northeast

Background and Aims: The concept of a happiness organization is another idea aimed at promoting the quality of life in the workplace for individuals. It believes that fostering relationships within the organization leads to happiness. The feeling of being valued and having a sense of worth to the organization creates a sense of commitment, joy, love in work, and devotion to the organization. ready to dedicate physical and mental strength to contribute fullest potential of the organization. This research aims, to development of happy organization indicators and to test the goodness of fit of the structural relationship model of happy organization indicators of private vocational colleges in the Northeast with empirical data. Methodology: The research is divided into 2 phases. Phases 1 to development of happy organization indicators. The key informants group consisted of 9 experts, a sample group of 490 administrators and teachers. The research instrument is an interview form and a questionnaire. Statistics to analyze data by mean and standard deviation. Phase 2 to test the goodness of fit of the structural relationship model happy organization indicators of private vocational colleges in the Northeast with the empirical data, by second-order confirmatory factor analysis. Results: The indicators of the happy organization of private vocational colleges in the Northeast comprised 5 factors and 25 indicators, Happy people 5 indicators, Happy home 5 indicators, Organizational culture 5 indicators, Job satisfaction 5 indicators, and Happy Teamwork 5 indicators. 2. The goodness of fit of the structural relationship model of happy organization indicators of private vocational colleges in the Northeast. It was in good agreement with the empirical data, with Chi-Square = 3853.531, df = 270, P-Value = 0.000, CMIN/df. = 1.428, CFI = .962, GFI = 0.929 TLI = .958, AGFI= 0.915, RMSEA=0.033 RMR= 0.030, NFI= 0.886, IFI= 0.963. Every component had a statistically significant relationship at the 0.001 level. Conclusion: The consideration of workplace happiness is deemed a crucial factor in organizational management, particularly in the realm of human resource management. It has a significant impact on an individual level, fostering greater motivation and effectiveness in the workplace, and creating an atmosphere of happiness in the educational environment, administrators, teachers, and students collaboratively work together with full dedication and ability, resulting in improved operations and increased efficiency and effectiveness. Creating a positive image for the organization, and most importantly, the ultimate product of the educational institution: students who receive instruction from teachers working joyfully

A Structural Relationship Model between Entrepreneurship, Entrepreneurship Motivation, Entrepreneurship Efficacy, and Entrepreneurial Intention of University Students

A Structural Relationship Model between Entrepreneurship, Entrepreneurship Motivation, Entrepreneurship Efficacy, and Entrepreneurial Intention of University Students

Factors Affecting Suicidal Ideation in Early Adults: Verification of the Structural Relationship Model of Childhood Trauma, Depression, Frustrated Interpersonal Needs, Psychache

Factors Affecting Suicidal Ideation in Early Adults: Verification of the Structural Relationship Model of Childhood Trauma, Depression, Frustrated Interpersonal Needs, Psychache

Machine learning driven web-based app platform for the discovery of monoamine oxidase B inhibitors

Monoamine oxidases (MAOs), specifically MAO-A and MAO-B, play important roles in the breakdown of monoamine neurotransmitters. Therefore, MAO inhibitors are crucial for treating various neurodegenerative disorders, including Parkinson's disease (PD), Alzheimer’s disease (AD), and amyotrophic lateral sclerosis (ALS). In this study, we developed a novel cheminformatics pipeline by generating three diverse molecular feature-based machine learning-assisted quantitative structural activity relationship (ML-QSAR) models concerning MAO-B inhibition. PubChem fingerprints, substructure fingerprints, and one-dimensional (1D) and two-dimensional (2D) molecular descriptors were implemented to unravel the structural insights responsible for decoding the origin of MAO-B inhibition in 249 non-reductant molecules. Based on a random forest ML algorithm, the final PubChem fingerprint, substructure fingerprint, and 1D and 2D molecular descriptor prediction models demonstrated significant robustness, with correlation coefficients of 0.9863, 0.9796, and 0.9852, respectively. The significant features of each predictive model responsible for MAO-B inhibition were extracted using a comprehensive variance importance plot (VIP) and correlation matrix analysis. The final predictive models were further developed as a web application, MAO-B-pred (https://mao-b-pred.streamlit.app/), to allow users to predict the bioactivity of molecules against MAO-B. Molecular docking and dynamics studies were conducted to gain insight into the atomic-level molecular interactions between the ligand-receptor complexes. These findings were compared with the structural features obtained from the ML-QSAR models, which supported the mechanistic understanding of the binding phenomena. The presented models have the potential to serve as tools for identifying crucial molecular characteristics for the rational design of MAO-B target inhibitors, which may be used to develop effective drugs for neurodegenerative disorders.

The impact of service quality, family support, and coach-athlete intimacy on the achievement performance of student-athletes through motivation as a mediator

This study aimed at measuring service quality, family support, coach-athlete intimacy to student-athlete achievement performance through motivation as a mediator. This was a correlational descriptive study that utilized the SEM (Structural Equation Modeling) approach with the assistance of Smart PLS. The researchers developed an instrument based on previous research data with a scale of 1–4. The subjects of this study were 125 Riau province student-athletes who will compete at POPNAS (National Student Sports Week) in Indonesia. Subjects consisted of 73 male athletes and 52 female athletes aged 15 ± 1.6 years. For data analysis, we used Smart PLS. The structural relationship model testing generated ten hypotheses. Among these, only the relationship between Coach-Athlete Intimacy and Achievement Performance showed a p-value of 0.532 &gt; 0.05, indicating a lack of significant effect. However, the remaining nine hypotheses demonstrated a significant effect. The research model fulfills the fit model criteria, with data based on an SRMR (Standardized Root Mean Square) value of 0.064. The publication of this study anticipates improvements in service quality, family support, and nurturing coach-athlete relationships to enhance athlete motivation and achievement performance. Further research endeavors are essential to expand the sample size and explore additional variables influencing sports achievement.

Reading Attitude, Self-regulation and Technology-based Instruction for Effective Reading: A Structural Relationship Model in Students' Intercultural Communicative Competence

Reading Attitude, Self-regulation and Technology-based Instruction for Effective Reading: A Structural Relationship Model in Students' Intercultural Communicative Competence

The Structural Model of the Causal Relationship Between Childhood Trauma and Deviant Behaviors and Academic Performance with the Mediation of Resilience in Students

Objective: Today, the academic progress and performance of students have been considered an important indicator for evaluating the educational system. The present study aimed to fit the proposed model of the causal relationship between childhood traumas, deviant behaviors, and academic performance with the mediation of resilience in students. Methods and Materials: This correlational study employed structural equation modeling (SEM) or causal modeling for model fitting. The statistical population included all male and female high school students in the 22 districts of Tehran during the 2023-2024 academic year, from which 370 students were randomly selected. Data were collected using the Bernstein et al. (2003) Childhood Trauma Questionnaire, the Eyberg and Ross (1978) Child Behavior Checklist, and the Liebenberg et al. (2012) Child and Youth Resilience Measure. Data were analyzed using SPSS.24 and AMOS.24 software. Findings: The results showed that childhood traumas had a direct effect on resilience (t = -6.38, β = -0.61). Childhood traumas had a direct effect on deviant behaviors (t = 4.27, β = 0.38). Childhood traumas had a direct effect on academic performance (t = -2.68, β = -0.28). Resilience had a direct effect on deviant behaviors (t = -4.96, β = -0.47). Additionally, the model of childhood traumas with deviant behaviors and academic performance mediated by resilience in students was a good fit. Conclusion: It can be concluded that resilience plays a mediating role in the relationship between childhood traumas, deviant behaviors, and academic performance.

Structural Relationship of Metacognitive Beliefs, Stress, Attachment Styles with Anorexia Nervosa Mediated by Self-Image

Objective: The aim of this study was to determine the structural relationship between metacognitive beliefs, stress, attachment styles, and anorexia nervosa mediated by self-image. Methods: This research is a descriptive correlational study and is a type of modeling research; the study population included female middle school students from Tehran in the 2022-2023 academic year. The research sample was collected through convenience sampling. Participants included 215 female students who completed online questionnaires on Anorexia Nervosa (Stice et al., 2004), Body Self-Image (Rue &amp; Associates, 1999), Anxiety, Depression, Stress-21 (Lovibond &amp; Lovibond, 1995), Metacognitive Beliefs-30 (Cartwright et al., 2004), and the Adult Attachment Styles Questionnaire (Besharat, 2005). Data were analyzed using the Partial Least Squares method in SPSS and Smart-PLS software. Findings: The results showed that the modified structural relationship model of metacognitive beliefs, stress, and attachment styles with anorexia nervosa mediated by body self-image had the necessary fit. Conclusion: Based on the results obtained, it can be concluded that body self-image played a mediating role in the relationship between metacognitive beliefs, stress, and attachment styles with anorexia nervosa.

전문대학 신입생의 교수지지, 학업적 자기효능감, 학습몰입 및 전공만족과 학업지속의향 간의 구조적 관계

The purpose of this study was to identify the structural relationship between professor's support, academic self-efficacy, learning engagement, major satisfaction and academic persistence intention of junior college freshmen. The survey instruments used were those developed in previous studies, with confirmed reliability and validity, and 476 questionnaires were used for analysis. Data analysis included reliability analysis, descriptive statistics analysis, correlation analysis, normality analysis, and multicollinearity analysis using IBM SPSS 23.0. Confirmatory factor analysis and structural equation modeling were conducted using Mplus 7.0. &#x0D; The results of this study are as follows. First, an appropriate structural relationship model was reasonably identified between professor's support, academic self-efficacy, learning engagement, major satisfaction and academic persistence intention of junior college freshmen. Second, according to the analysis of direct effects, professor's support had a significant positive influence on academic self-efficacy, learning engagement, and major satisfaction, but showed a negative effect on academic persistence intention. Academic self-efficacy had a significant positive effect on learning engagement, and learning engagement had significant positive effects on major satisfaction and academic persistence intention. Major satisfaction had a significant positive effect on academic persistence intention. Third, The analysis of indirect effects through mediation revealed that learning engagement, and major satisfaction mediated the relationship between professor's support and academic persistence intention, respectively. Learning engagement mediated the relationship between academic self-efficacy and academic persistence intention, while major satisfaction mediated the relationship between learning engagement and academic persistence intention. Furthermore, it was found that academic self-efficacy and learning engagement acted as dual mediators between professor's support and academic persistence intention, and learning engagement and major satisfaction acted as dual mediators between professor's support and academic persistence intention as well as between academic self-efficacy and academic persistence intention. Finally, Academic self-efficacy, learning engagement, and major satisfaction acted as triple mediators between professor's support and academic persistence intention. Based on these results, the implications and recommendations for academic persistence intention of junior college freshmen were discussed.

생활체육 참여자의 여가기능과 자아존중감 및 가정생활만족의 구조적 관계

The purpose of this study was to investigate the structural relationship model of leisure function, self-esteem and family life satisfaction of participants in sports for all. To achieve the goal of this study, a total 201 surveys collected in Seoul and Gyeong-gi area were utilized for analyzing. Data were analyzed by frequency analysis and internal consistency analysis to determine demographic characteristics. After that, confirmatory factor analysis, correlation analysis, and structural equation modeling were used. Main findings were as follows: First, leisure function of Sports for All participants had a positive effect on self-esteem. Second, self-esteem of Sports for All participants had a positive effect on family life satisfaction. Third, leisure function of Sports for All participants had a positive effect on family life satisfaction. Fourth, self-esteem mediated the relationship between leisure function and family life satisfaction. Therefore, this study suggests that continuous participation in Sports for All for oneself is necessary as a way to increase one's value and satisfaction with the family through the net function of leisure.

Determining the Structural Relationship Model of Health-Promoting Lifestyle with Self-Efficacy and Emotion Regulation in Gifted Teenagers with the Mediating Role of Parent-Child Conflict

Determining the Structural Relationship Model of Health-Promoting Lifestyle with Self-Efficacy and Emotion Regulation in Gifted Teenagers with the Mediating Role of Parent-Child Conflict

Analysis of barriers affecting Industry 4.0 implementation: An interpretive analysis using total interpretive structural modeling (TISM) and Fuzzy MICMAC

The purpose of this study is to build a structural relationship model based on total interpretive structural modeling (TISM) and fuzzy input-based cross-impact matrix multiplication applied to classification (MICMAC) for analysis and prioritization of the barriers influencing the implementation of Industry 4.0 technologies. 10 crucial barriers that affect the deployment of Industry 4.0 techniques are identified in the literature. Also, the Fuzzy MICMAC approach is applied to classify the barriers. The importance of TISM over traditional interpretive structural modeling (ISM) is shown in this work. Results proved that the barriers, namely IT infrastructure, lack of cyber physical systems, and improper communication models, are identified as the most dependent barriers, and the barriers of lack of top management commitment and inadequate training are identified as the most driving barriers. This study makes it easier for decision-makers to take the necessary steps to mitigate the barriers. The bottom level of the TISM hierarchy is occupied by barriers that need more attention from top management in order to be effectively monitored and managed. This study explains the steps to execute TISM in detail, making it easy for researchers and practitioners to comprehend its principles.

COVID-19's shadow on families: A structural equation model of parental stress, family relationships, and child wellbeing.

The present study seeks to contribute to developmental science in emergencies by investigating associations between COVID-19 pandemic-related stressors, parents' stress, family relationships, and child wellbeing. In doing so, we build on recent research that generalizes the assumptions of the Family Stress Model beyond direct economic stressors of households to macro-contextual stressors that operate at the societal level. In the case of our study, these stressors relate to the COVID-19 pandemic, such as health risks and confinement-related stresses. Participants were 783 parents of young children (75% female, Mage = 34.61 years) residing in the United Arab Emirates. They completed an online survey in Fall 2020 and Spring 2021, measuring how the pandemic impacted their lives and the lives of their child (Mage = 47.54 months). A subsample of parents (n = 96) completed the survey for two children. Structural equation modeling showed that pandemic-related stressors contributed to higher stress among parents which, in turn, resulted in lower parent-reported child wellbeing at various times during the pandemic. Family relationships mediated the association between parents' stress and child wellbeing. The present study contributes to our understanding on how large-scale disruption due to COVID-19 pandemic-related stressors gets inside the family, the strength and direction of associations (concurrently and over time), and the timing of mechanisms that impact family processes. The results highlight the need to support families with young children in managing disruptions due to emergencies, such as a global public health crisis, and to determine ways of preventing longstanding consequences on family structures and children's lives.

Teachers’ Acceptance of Online Teaching and Emotional Labor in the EFL Context

The recent growth and sustainability in online education have led to a greater demand for language teachers to accept online teaching and a heightened focus on language teachers’ emotions in an online setting. Based on the Technology Acceptance Model (TAM), this study attempted to investigate the relationship between English as a Foreign Language (EFL) teachers’ acceptance of online teaching and their emotional labor in online teaching. A questionnaire was distributed to 338 EFL teachers working at 19 middle schools and 24 high schools in China, and 10 teachers were interviewed. Following a series of analyses of the data, a structural relationship model integrating acceptance of online teaching and online teaching emotional labor strategies was developed and tested. The results indicate that EFL teachers’ acceptance of online teaching significantly predicts three emotional labor strategies in online teaching. Specifically, EFL teachers’ acceptance of online teaching positively influences deep acting and expression of naturally felt emotions, while negatively affecting surface acting. The obtained results address important theoretical, methodological, and practical gaps by examining the interplay between acceptance of online teaching and emotional labor in the context of online language education, a dimension that previous studies have largely overlooked.

2D-QSAR, Docking, Molecular Dynamics Simulations with the MM/GBSA Approaches against Graves' Disease and PTPN22

Graves' disease (GD) is an autoimmune condition that frequently causes hyperthyroidism and thyrotoxicosis. Protein tyrosine phosphatase, non-receptor type 22 (lymphoid) isoform 1 (PTPN22), is a promising therapeutic candidate for treating GD, rheumatoid arthritis, type 1 diabetes, and other autoimmune disorders. In this dataset, 31 molecular compounds and two standard drugs were optimized using the semi-empirical PM7 theory method via MOPAC v22.0.4 to reveal the key influencing factors contributing to their grave's disease inhibition activity and selectivity. Using QSARIN software, the acquired properties/descriptors were used to create a quantitative structural activities relationship (QSAR) model, and the similarities between the observed and predicted pIC50 values were examined. A molecular docking simulation study also uncovers non-covalent interactions between the investigated compounds and the receptors. The observed ligand-protein interactions with GD proteins (PDB ID 2XPG and 4QT5) and PTPN22 (PDB ID 3BRH) were investigated. The pharmacokinetics (ADMET) properties were also investigated. Finally, molecular dynamics (MD) simulation and MM/GBSA studies that demonstrated stable trajectory and molecular properties with a consistent interaction profile were used to validate the stability of the compounds in the complex with PTPN22.

Examining generational differences in the workplace: narcissism, work centrality, and the impact on employee engagement and discretionary effort

PurposeThe purpose of this study is to investigate the structural relationship model among narcissism, work centrality, employee engagement and discretionary effort.Design/methodology/approachRespecting the quantitative approach, the data were gathered by means of the survey completed by 1,190 respondents of Generation X, Y and Z working in the Thai service and manufacturing industries.FindingsThe findings of the study indicated positive associations between narcissism and work centrality, narcissism and employee engagement, work centrality and employee engagement and employee engagement and discretionary effort. It was observed that work centrality played a partially mediating role in the relationships between narcissism and employee engagement, while employee engagement fully mediated the associations between work centrality and discretionary effort, as well as between narcissism and discretionary effort. The structural model demonstrated variations across different generational cohorts, suggesting that the relationships differed among generations. However, the model did not exhibit any variations across different types of industries. Furthermore, the findings from the Thai samples indicated that generational differences had a moderating effect on the path relationships between narcissism and work centrality (with Generation Y having a stronger effect compared to Generation Z and Generation X), narcissism and employee engagement (with Generation Y having a stronger effect compared to Generation Z and Generation X) and narcissism and discretionary effort (with Generation X having a stronger effect compared to Generation Y and Generation Z), all with a significance level of 95%. Additionally, the relationship between employee engagement and discretionary effort showed a significant difference across generations, with Generation Z exhibiting a stronger effect compared to Generation Y and Generation X, at a significance level of 99%.Originality/valueThis study provides empirical evidence supporting the positive relationships between narcissism and work centrality, as well as narcissism and employee engagement, contrary to previous research findings. The results reveal that employee engagement fully mediates the associations between work centrality and discretionary effort, as well as between narcissism and discretionary effort, offering valuable contributions to the existing literature. Furthermore, this study expands on previous research by examining the moderating effect of industry type, specifically comparing manufacturing and service industries. The findings suggest that the model exhibits variations across different generational cohorts, highlighting the importance of considering generational differences in understanding these relationships. However, the model does not exhibit variations across different types of industries.