Multi-group Structural Equation Modeling Analysis Research Articles

Sowing seeds of flourishing: the mediating role of trust in the impact of resilience on school principals across career stages

PurposeThis study aims to examine the roles of principal resilience (psychological, social and spiritual) and trust in colleagues in predicting the flourishing of school principals, considering different career stages.Design/methodology/approachUtilising multigroup structural equation modelling and mediation analysis, data were collected from a sample of 1,274 school principals in China. The study investigates the direct impact of resilience on flourishing and the mediating role of trust in colleagues, with a focus on variations across different career stages.FindingsThe findings reveal that all aspects of a principal’s resilience significantly impact their flourishing, with trust serving as a partial mediator. Notably, the influence of spiritual resilience on flourishing is significant only for principals in the later stages of their careers.Originality/valueThis research contributes to the expanding body of literature on educational leadership by highlighting the importance of resilience and trust in fostering principal flourishing. The insights gained offer valuable knowledge for developing support strategies to enhance the flourishing experiences of school principals throughout their careers.

Influencing factors of kinesiophobia in knee arthroplasty patients under the social cognitive theory: A structural equation model

ObjectiveTo analyze the path relationships among influencing factors for kinesiophobia in knee arthroplasty patients through a structural equation model. BackgroundThe occurrence of kinesiophobia significantly impacts the rehabilitation process of knee arthroplasty patients. However, there is still a need to determine factors that contribute to reducing kinesiophobia. DesignA cross-sectional study was conducted and reported following the STROBE guideline. MethodsBetween February 2022 to October 2022, 162 total knee arthroplasty (TKA) patients and 81 unicompartmental knee arthroplasty (UKA) patients completed a survey. A structural equation modeling (SEM) approach was utilized to analyze the relationships between kinesiophobia and influencing factors (social support, pain resilience, and rehabilitation self-efficacy). Furthermore, multi-group SEM analysis was conducted to examine whether the model equally fitted patients in different types of knee arthroplasty. ResultsThe direct negative effects of rehabilitation self-efficacy (β = −0.535) and pain resilience (β = −0.293) on kinesiophobia were observed. The mediating effect (β = −0.183) of pain resilience and rehabilitation self-efficacy between social support and kinesiophobia was also significant. The SEM model achieved an acceptable model fit (χ2 = 35.656, RMSEA = 0.031, χ2/df = 1.230, GFI = 0.972, NFI = 0.982, IFI = 0.997, CFI = 0.996). In multicohort analysis, no significant differences were observed among knee arthroplasties (TKA, UKA) (Δχ2 = 4.213, p = 0.648). ConclusionsSatisfactory social support enhances pain resilience and rehabilitation self-efficacy, so as to reduce kinesiophobia. Future interventions that directly target the assessment and management of kinesiophobia, available social support may help reduce kinesiophobia, and pain resilience and rehabilitation self-efficacy may be critical factors in managing kinesiophobia. Relevance to Clinical PracticeReducing kinesiophobia in knee arthroplasty patients requires satisfactory social support, pain resilience, and rehabilitation self-efficacy. Therefore, healthcare organizations may implement initiatives to reduce kinesiophobia by taking these factors into account.

Digital Immigrants Versus Digital Natives: Decoding Their E-commerce Adoption Behavior

It is easier to assume that educated older adults will find digital gadgets or the Internet as simple to use as the young generation does. However, it is not as simple as that. The generation that was not born into the digital world but has had to make an effort to learn to use digital technologies during their middle or late middle age is referred to as Digital Immigrants (DIs). Most of these individuals were forced to adapt to information technologies due to environmental pressure to survive and thrive at their workplace. The objective of this study is to investigate if the proposed “digital divide” that differentiates digital immigrants from digital natives (DNs) exists among e-commerce users in India, and if so, are digital immigrants less likely to adopt and use e-commerce services? Data was collected through a self-administered survey questionnaire from 432 Indian Internet users aged 19 to 65. Multigroup structural equation modeling analysis (M-SEM) of data revealed that DIs and DNs perceive e-commerce services differently. Though digital immigrants find e-commerce services challenging to use, their higher perception of its usefulness propels them to adopt and use e-commerce. This study contributes to the existing body of literature by extending our understanding of the technology adoption behavior of digital immigrants. The study’s implications and the scope for future research are discussed at the end of the article.

Physical maltreatment, insecure attachment, and online gaming disorder among Chinese adolescents: A multi-group analysis of single and non-single child family

This study examined the effect of physical maltreatment on online gaming disorder and investigated the mediating role of insecure attachment in the aforementioned relationship. Further, multi-group analysis was conducted aiming to explore whether the pathways in the conceptual model were significantly different across the groups of adolescents from single and non-single child families. Based on a multi-stage random cluster sampling method, a total of 2001 adolescents aged 12–18 years (51.3 % boys and 48.7 % girls) was obtained from Hebei Province, China. We used Structural Equation Modeling (SEM) and multi-group analysis in SEM for data analyses.The results showed that physical abuse was directly associated with online gaming disorder (B=0.139, β = 0.107, p < 0.01, 95 % CI [0.063, 0.218]). Only anxious attachment mediated the relationship between physical abuse and online gaming disorder (B=0.069, β = 0.053, p < 0.001, 95 % CI [0.045, 0.098]), and between physical neglect and online gaming disorder (B=0.025, β = 0.029, p < 0.001, 95 % CI [0.015, 0.038]). The results of multi-group analysis suggested the significant difference in the pathway coefficients between the two groups. Significant difference was observed in the specific structural pathway between physical neglect and anxious attachment (CRD= − 2.851,p < 0.05), with the effect being stronger for adolescents from single child families (B=0.248, β = 0.279,p < 0.001, 95 % CI [0.176, 0.392]) compared with those from non-single child families (B=0.115, β = 0.137,p < 0.001, 95 % CI [0.073, 0.199]). The findings suggest the indirect influencing mechanism of insecure attachment in the relationship between physical maltreatment and online gaming disorder. The results of the multi-group analysis require future practitioners to evaluate the family conditions of siblings when intervening in online gaming disorder of adolescents.

A multigroup SEM analysis of mediating role of enjoyment, anxiety, and boredom in the relationships between L2 motivational self-system, L2 proficiency, and intercultural communication competence

This study aims to test a mediation model to understand how the second language motivational self-system (L2MSS) affects second language (L2) proficiency and intercultural communication competence (ICC) through the mediating effects of foreign language enjoyment, anxiety, and boredom among English as a foreign language (EFL) learners in China. A total of 2,713 Chinese EFL learners, comprising 1,376 English majors and 1,337 non-English majors, voluntarily participated in the present study. Structural equation modeling (SEM) analysis was conducted to analyse the collected data. Additionally, a multigroup SEM approach was applied to compare potential differences between the two major types in the hypothesized relationships. The results revealed that the impacts of the ideal self and learning experience positively and directly predicted L2 proficiency and ICC, whereas the ought-to self had a direct and negative influence. Foreign language enjoyment, anxiety, and boredom mediated the relationships between L2MSS, L2 proficiency, and ICC. Also, L2 proficiency positively affected ICC. Moreover, the multigroup SEM analysis revealed that these two groups did not differ significantly in the hypothesized pathways, suggesting that these relationships were not moderated by students’ majors. These research findings may present significant implications for EFL learners and teachers.

Multiple Identities as Buffer or Catalyst? An Investigation of Psycho-Behavioral Effects of Sports Fans’ Exposure to Abusive Social Media Content

ABSTRACT Sports, traditionally pregnant with aggression and violence, are now a breeding ground for online abuse, where toxicity and malicious campaigns on social media have even afflicted national sports role models together with their huge fan base. Drawing on an online survey of 917 Chinese volleyball enthusiasts, this study investigated the psycho-behavioral outcomes of sports fans’ social media exposure to abusive messages about their idols through the lens of rejection-(dis)identification theory. Findings indicate that fans’ subjective frequency of negative social media exposure is significantly negatively associated with their sport-related well-being but has no direct connection with their offline sport engagement. The study particularly delves into the mediating roles of fans’ multiple identities, namely sport identity as a competitive mediator and national identity as a complementary mediator. Furthermore, with multi-group structural equation modeling and mediation analyses on gender sub-groups, gender differences were determined such that male fans, compared with female fans, were more likely to marshal their identity capital, which effectively enhanced their well-being and participation in sports. By linking classic theoretical propositions, this study offers a nuanced understanding of the sociopsychological consequences of online abuse in sports for ordinary social media users, contributing to both theoretical insights and practical implications.

The Influence of Perceptions of the Park Environment on the Health of the Elderly: The Mediating Role of Social Interaction

The aging population has brought increased attention to the urgent need to address social isolation and health risks among the elderly. While previous research has established the positive effects of parks in promoting social interaction and health among older adults, further investigation is required to understand the complex relationships between perceptions of the park environment, social interaction, and elderly health. In this study, structural equation modeling (SEM) was employed to examine these relationships, using nine parks in Wuhan as a case study. The findings indicate that social interaction serves as a complete mediator between perceptions of the park environment and elderly health (path coefficients: park environment on social interaction = 0.45, social interaction on health = 0.46, and indirect effect = 0.182). Furthermore, the results of the multi-group SEM analysis revealed that the mediating effect was moderated by the pattern of social interaction (the difference test: the friend companionship group vs. the family companionship group (Z = 1.965 &gt; 1.96)). Notably, family companionship had a significantly stronger positive impact on the health of older adults compared to friend companionship. These findings contribute to our understanding of the mechanisms through which urban parks support the physical and mental well-being of the elderly and provide a scientific foundation for optimizing urban park environments.

The relationship of depression, anxiety, and stress with pregnancy symptoms and coping styles in pregnant women: A multi-group structural equation modeling analysis

BackgroundThe changes during pregnancy can increase susceptibility to mental health problems such as depression, anxiety and stress, which is why coping strategies are so important. The aim of this study is to investigate the relationships between depression, anxiety, stress, pregnancy symptoms and coping styles in pregnant women across trimesters, using a multigroup structural equation model. MethodsThis cross-sectional and correlational study was conducted with 301 pregnant women who applied to the prenatal clinic of a state university's medical faculty. A hypothetical model was created based on transactional stress and coping theory and literature reviews. Data were collected using a participant information form, the Depression Anxiety Stress Scale, the Pregnancy Symptom Inventory and the Stress Coping Styles Scale. ResultsAmong pregnant women, 40.9 % had symptoms of stress, 52.8 % of anxiety and 37.2 % of depression. Pregnancy symptoms and emotion-focused coping are positively associated with depression, anxiety, and stress (β = 0.468–0.590; β = 0.222–0.373 respectively). Problem-focused coping is negatively associated with depression, anxiety, and stress. (β = -0.255:-0.389). Problem-focused coping is negatively associated with pregnancy symptoms in the whole sample (β = -0.121) and in the third trimester (β = -0.124). The model explained 51 % of the variance in the 1st, 42 % in the 2nd, and 64 % in the 3rd trimesters. ConclusionThis study showed that problem-focused coping strategies are negatively associated with depression, anxiety and stress and play an important protective role in this context. These findings contribute to understanding the factors affecting mental health during pregnancy and emphasize the importance of developing problem-focused coping skills for pregnant women.

The antecedents, outcomes and mediating role of inclusion at work

PurposeThe current study heeds prior calls to test the hypothesis that perceptions of inclusion mediate the relationship between inclusive practices and employee outcomes.Design/methodology/approachUsing responses from 3,367 employees drawn from three time-separated surveys administered between 2020 and 2022 within a large retail fashion chain, structural equation modeling (SEM) was conducted to examine the mediating role of perceptions of inclusion connecting inclusion’s antecedents and outcomes. Exploratory multigroup SEM and relative weights analysis was conducted to examine the relative contribution of each antecedent of perceptions of inclusion across racial/ethnic groups.FindingsWe identified manager support, career support, organizational support, transparency, and employee recognition as antecedents of perceptions of inclusion, as well as work engagement, organizational commitment, and intent to stay as outcomes of perceptions of inclusion. Recognition indirectly relates to employee outcomes via perceptions of inclusion, but we did not find evidence of mediation for the other antecedents. Exploratory analyses suggest that career support and employee recognition are the most predictive antecedents of perceptions of inclusion overall. However, there are racial/ethnic group differences regarding which inclusive practices most contribute to perceptions of inclusion.Originality/valueResults uncover several directions for future research and suggest that to truly make employees feel both included and unique at work, organizations should focus on supporting employees' career development goals and recognizing their valuable contributions.

Effects of Emotional Labor and Job Stress Perceived by Insurance and Asset Managers on Their Job Satisfaction.

Occupational stress is often high among the employees of insurance companies. We aimed to examine the effects of emotional labor and job stress on job satisfaction among insurance and asset managers and the moderating effect of regular exercise participation in these relationships. This study was conducted in October 2022. A total of 261 insurance and asset managers working at Samsung Life Insurance Company, Seoul, Republic of Korea, were selected using non-probability purposive sampling. Data were collected using questionnaires. The data collected were analyzed using frequency analysis, descriptive statistics, confirmatory factor analysis, correlation analysis, structural equation model analysis, measurement equivalence tests, multi-group structural equation model analysis, and parametric comparison analysis. Both emotional labor and job stress had a negative effect on the job satisfaction of insurance and asset managers (P< 0.05). Regular exercise participation moderated the relationship between emotional labor and job satisfaction (P< 0.05) but not the relationship between job stress and job satisfaction. The results of this study might help encourage devising of strategies that increase exercise participation among insurance and asset managers in order to reduce their emotional labor and job stress while simultaneously increasing their job satisfaction.

Modeling the influence of connected vehicles on driving behaviors and safety outcomes in highway crash scenarios across varied weather conditions: A multigroup structural equation modeling analysis using a driving simulator experiment

Equipped with advanced sensors and capable of relaying safety messages to drivers, connected vehicles (CVs) hold the potential to reduce crashes. The goal of this study is to assess the impacts of CV technologies on driving behaviors and safety outcomes in highway crash scenarios under diverse weather conditions, including clear and foggy weather. A driving simulator experiment was conducted and the multigroup structural equation modeling (SEM) was employed to explore the complex interrelationships between the propensity of traffic conflicts, utilization of CV alerts, weather, psychological factors, driving behaviors, and other relevant variables for two different crash locations, namely a straight section and a horizontal curve. Two latent psychological factors including aggressiveness and unawareness were constructed from driving behavior as vehicles passed by crash scenes such as brake, throttle, steering angle, lane offset, and yaw. The SEM can measure latent psychological factors and model interrelationships concurrently through a single statistical estimation procedure. Results of the multigroup SEM showed that CV alerts could significantly reduce the unawareness on a horizontal curve and thus lower the propensity of traffic conflicts. Additionally, the overall effect of foggy weather on conflicts was found to be positive on a horizontal curve, despite the potential benefit of improving situational awareness. In contrast, the single group SEM failed to reveal any significant interrelationships in its structural model by pooling data from both crash locations. The obtained insights can guide the development of driving assistance systems, highlighting the necessity of customization considering weather conditions and location-specific factors.

Exploring the influence of emotionality and expertise on online wine reviews: does greater knowledge lead to less review?

PurposeWine producers and marketing professionals increasingly recognize the significance of online wine reviews. Emotions have long been acknowledged as influential in online review behaviors. However, considering the multisensory nature of the wine experience, consumers’ wine expertise also plays a substantial role. Hence, this study aims to examine the online review behaviors exhibited by wine consumers through the dual lens of wine expertise and emotionality.Design/methodology/approachTwo studies were conducted to address the research question. Study 1 explored the relationship among expertise, emotionality and review behaviors using a panel data model, with a data set consisting of 4,600,922 reviews from Vivino.com. Study 2 used a multigroup structural equation modeling (SEM) analysis using data obtained from an online survey. Study 2 aimed to investigate the interactive impact of emotionality and expertise on online review intention mediated by customer engagement.FindingsThe findings from Study 1 demonstrated a positive correlation between emotionality and online wine reviews. In addition, expertise displayed a bell-shaped relationship with both emotionality and online wine reviews. Study 2, in turn, uncovered that novices and experts experienced a direct influence of emotionality on their review intentions. In contrast, for those classified as ordinary, the influence of emotionality on review intention occurred indirectly through the mediation of customer engagement.Originality/valueThis paper extends the current literature on online wine review by integrating the effect of emotion and expertise on online wine review behaviors, expanding the examination of Dunning–Kruger effect in the wine literature. It also adds value by introducing emotionality and the Evaluative Lexicon into the hospitality literature, extending the measurement of emotion from valence and extremity to a third dimension, emotionality, in hospitality and wine domains.

Reciprocal Path Model of Autonomous Motivation and Motivational Regulation: Socially Shared Regulation in Intellectual Group Activities

Self- and social regulation are widely expected to increase autonomous motivation; however, few empirical studies have examined the reciprocal influences of autonomous motivation and motivational regulation. This study examined the reciprocal path model between autonomous motivation and three modes of motivational regulation (self-, co-, and socially shared regulation) in intellectual group activities by comparing university students with working adults. The participants were 181 university students and 295 working adults who completed an online questionnaire consisting of psychological measurements. With respect to autonomous motivation and the three modes of motivational regulation, a bidirectional model of university students and working adults was established and statistically analyzed on the basis of two time points of data, one month apart (T1 and T2). The hypothesized path model had a good fit through a multi-group structural equation modeling analysis. Autonomous motivation at T1 positively predicted socially shared regulation, co-regulation, and self-regulation at T2, one month later, for both groups. However, the three modes of regulation did not positively or significantly predict autonomous motivation in either group. Considering the reciprocal influences of autonomous motivation and motivational regulation, we discuss the necessity of implementing these practices in universities and workplaces.

Testing an extended theory of planned behaviour in predicting Covid-19 vaccination intention over the course of the pandemic: A three-wave repeated cross-sectional study

BackgroundMass vaccination against Covid-19 has been recognised as the most effective strategy for overcoming the pandemic emergency and remains crucial in the ongoing efforts to mitigate the impact of the virus. The present study aimed to test the efficacy of an extended Theory of Planned Behaviour (TPB) model in predicting vaccination intention in three different phases of the pandemic. Understanding how psychological drivers of vaccine acceptance may have changed throughout the pandemic is essential for informing public health strategies and addressing vaccine hesitancy, even in the current post-pandemic context. MethodsUsing a repeated cross-sectional survey, we tested the hypothesised extended TPB model (intention, attitude, subjective norms, perceived behavioural control, anticipated affective reactions, risk perception, trust in science, trust in institutions and religiosity) across three independent samples: before (T1: November–December 2020; N = 657), during (T2: March–May 2021; N = 818), and after (T3: February–March 2022; N = 605) the start of the vaccination campaign in Italy. ResultsResults indicated significant differences between the time points in all investigated variables, pointing to a general trend of improvement in vaccine acceptability levels at T2 compared to T1, and a worsening at T3 compared to the other two time points. Interestingly, net of these differences, a multi-group Structural Equation Modeling analysis supported the invariance, across time, of the structural relationships examined within the extended TPB. ConclusionFindings demonstrated the efficacy of the TPB in predicting Covid-19 vaccination intention at different stages of the pandemic, suggesting that the model, in its extended version, represents a valuable framework for designing interventions aimed at promoting vaccine acceptance.

How does transport development contribute to rural income in China? Evidence from county-level analysis using structural equation model

Transport development has often been regarded as a solution for increasing rural income. However, most existing studies focusing on the promotion effects of transport development on rural income fail to provide quantitative analysis of its influencing pathways. This study investigates the pathways linking county-level transport development to rural income in China. We first examined the spatial pattern of transport development, including density, proximity, and accessibility, in all Chinese counties from 2014 to 2019. Then, we analyzed both the association and influencing pathways between transport development and rural income using structural equation modeling (SEM). Finally, we compared the various effects and pathways among counties with different terrains, geographical locations, and poverty conditions through multigroup SEM analysis. The results suggest that transport development is associated with an increase in rural residents’ income primarily through the pathways of increasing nonfarm employment ratios, improving agricultural labor productivity efficiency, boosting urbanization rates, and enhancing access to basic public services. The most significant pathways through which transport development contributes to rural income growth in China are changes in nonfarm employment ratios and urbanization rates. The impact of transport development on rural incomes is more pronounced for counties in plain areas than counties in hilly and mountainous areas, more substantial in eastern counties than in central and western counties, and more pronounced in non-poverty-stricken counties than poverty-stricken ones. It is argued that transport alone cannot lead to significant rural revitalization in rural China; it must be accompanied by industrial development strategies.

Influence of medical care tasks on subjective burden and gain among older adults’ family caregivers: structural equation modeling for testing the role of formal and informal support

BackgroundThe number of caregivers performing medical care tasks at home for older adults is expected to increase. Family caregivers, who are not healthcare professionals, are likely to find these activities difficult and burdensome. However, appropriate support may decrease the negative and increase the positive aspects of caregiving. This study investigated direct associations between caregivers providing medical care at home and their negative and positive appraisals of caregiving (burden and gain), indirect associations through healthcare professional support and informal support, and whether the associations between medical care tasks and caregivers’ appraisals of caregiving differed based on the support received.MethodsInterview surveys were conducted in 2013, 2016, and 2019 in a Tokyo Metropolitan Area city with family caregivers of community-dwelling older adults who were certified as requiring care in Japan’s long-term care insurance system. This study analyzed the combined data from each survey (n = 983). Structural equation modeling (SEM) analysis was utilized to examine direct associations between providing medical care and caregiver appraisals and indirect relationships through healthcare professional support and informal support. The modulating effects of these forms of support on the relationship between medical care and caregiver appraisals were assessed using multigroup SEM analyses.ResultsApproximately 9% of family caregivers provided medical care at home. The results of SEM analyses, controlled for care recipients’ physical and cognitive difficulties; caregivers’ age, sex, and economic condition; and survey year, revealed no direct associations between providing medical care and caregivers’ sense of burden and gain. They also did not reveal any indirect effects through either healthcare professional support or informal support. However, the results of multigroup SEM analyses indicated that caregivers providing medical care who used home-visit services by physicians and/or nurses, compared to those who did not, tended to exhibit a greater sense of gain.ConclusionsThese results suggest that family caregivers providing medical care at home can positively change their appraisals of caregiving if they receive appropriate support. Home medical care services provided by healthcare professionals can effectively support caregivers. Developing strategies and policies to make medical care services at home more accessible to caregivers is crucial.

Effects of psychological symptoms on life adjustment among survivors of humidifier disinfectants.

The humidifier disinfectant catastrophe in South Korea was a social disaster caused by toxic chemical substances. The present study aimed to examine the relationships between psychological symptoms and adaptive life functioning in survivors of humidifier disinfectants. This study examined the differential effects of psychological symptoms on life adjustment between survivors of humidifier disinfectant and the general population. A total of 452 individuals (228 general and 224 survivor groups) participated in this research. This study utilized the Adult Self-Report, one of the most widely used comprehensive mental health scales for measuring both psychological symptoms (e.g., anxiety/depression) and life adjustment functioning (e.g., interpersonal relationship). For the data analysis, multi-group structural equation modeling analysis was conducted using AMOS 21.0 program. The results of this study indicated that attention problems out of 8 psychological symptoms was the only significant factor related to life adjustment in both general and survivor groups. In addition, there was a significant 2-way interaction effect of group status and somatic complaints on life adjustment. When the somatic complaint symptom was higher, participants in the survivor group were less likely to adjust in life than the general group. Taken together, the somatic complaints of the survivors more strongly influence the life adjustment than the general population. Finally, the authors discuss practical implications for survivors of humidifier disinfectants for designing suitable intervention strategies.Int J Occup Med Environ Health. 2023;36(5):596-605.

The impact of school climate on teacher enthusiasm: the mediating effect of collective efficacy and teacher self-efficacy

ABSTRACT This study investigated the critical roles of school climate and efficacy (collective teacher efficacy and teacher self-efficacy) in teachers’ enthusiasm throughout their teaching careers. Based on multigroup structural equation modelling and mediation analysis of a sample of 4594 primary school teachers in China, this study found that school climate significantly affected teachers’ enthusiasm. Furthermore, collective teacher efficacy had a stronger mediating effect than teacher self-efficacy on the relationship between aspects of school climate and teachers’ enthusiasm. Among the four aspects of school climate, teachers’ perception of student relations had the strongest influence on novice, mid-and late-career teachers’ enthusiasm. Moreover, the practical implications of the findings for improving teachers’ enthusiasm at different stages of their careers are discussed.

Exploring and Measuring Quality of Life Determinants of Wage Workers in Egypt: A Structural Equation Modelling Approach

AbstractThis paper aims to identify the major significant dimensions that contribute to the overall quality of life (QOL) of wage workers in Egypt. As the QOL is a complex, multidimensional, and interdisciplinary concept, forty-seven indicators under five domains were chosen to investigate the QOL determinants of wage workers in Egypt, namely job characteristics, job satisfaction, ICT access, gender equality and women empowerment, and neighborhood services and utilities. Using data from the 2018 wave of the Egypt Labor Market Panel Survey, the paper employed structural equation modelling (SEM) approach to investigate the impact of proposed dimensions on the overall QOL. In addition, multi-group SEM analysis was implemented to measure how people differ in the way they assess their QOL on the basis of various moderating variables such as the geographical region of residence, age group, and years of schooling. The findings showed the significant impact of the chosen dimensions on the overall QOL. Moreover, the multi-group models showed a significant variation among compared groups, in which the weights of dimensions vary due to the differences in socio-cultural characteristics and the surrounding environment, confirming the complexity of such a concept. As people usually differ in the way they assess their QOL, which is affected by their characteristics and priorities.

Acquiring Sustainability in The Prospect of Digital Transformation Through Global Brain-Reflective Accounting Practices Application

The current research conceptualizes and validates a model concentrating on how policy initiatives foster the big data management capabilities (BDMC) to achieve sustainability. Additionally, it also pursues to delve into the mediation mechanism of Global brain reflective management accounting practices (GBAP) in the linkage between BDMC and sustainability. Outstandingly, it makes several endeavors to deepen insight on whether the extent of the effect of BDMC on GBAP and the effect of GBAP on sustainability vary resting on specific degree of innovation human resource management (IHRM). The statistical data of a convenient and snowball sample of 612 participants was gathered from a structured and close-ended questionnaire survey. In order to bring forth the proposed hypothesized interconnections, the fundamental analytical instrument utilized was structural equation modeling (SEM). Additionally, multi-group SEM analysis was also applied to corroborate the moderating effects of IHRM. Beyond ameliorating the insight into how intersection of accounting practices and new technologies could make a huge contribution to BDMC enhancement to reach the sustainability paradigm, the observations of this research gave rise to the practical implications for the practitioners in organizational management and policy-makers in promulgating rules in relation to digital transformation implementation within small and medium enterprises.