Intermediate Variable Research Articles

PENGARUH GOOD CORPORATE GOVERNANCE TERHADAP NILAI PERUSAHAAN DENGAN PROFITABILITAS SEBAGAI VARIABEL MEDIASI

This study aims to examine the effect of Good Corporate Governance proxied with independent board of commissioners, audit committee, and institutional ownership on company value proxied with Tobin's Q with profitability proxied with Return On Asset (ROA) as a mediation variable. The population in this study was obtained using purposive sampling method on Banking sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019-2021 and based on predetermined criteria, a sample of 68 companies was obtained. The analysis method used is path analysis and sobel test with SPSS (Statistical Product and Service Solution) Version 25 application tools. The results of the research analysis prove that: 1) The independent board of commissioners has an effect on profitability, 2) The audit committee has no effect on profitability, 3) institutional ownership has an effect on probability, The independent board of commissioners has an effect on the value of the company, 4) The independent board of commissioners has an effect on the value of the company, 5) The audit committee has no effect on the value of the company, 6) Institutional ownership has an effect on the value of the company, 7) Profitability has no effect on the value of the company, 8) Profitability as a mediating variable is not able to mediate the influence of the variable of the independent board of commissioners on the value of the company, 9) Profitability as a mediating variable is not able to mediate the effect of audit committee variables on company value, 10) Profitability as a mediation variable is not able to mediate the influence of institutional ownership variables on company value

The Influence of Financial Literacy, Lifestyle on Financial Management Behavior with Self Control as an Intervening Variable Study on the Student Exchange Program at Mataram University

Indonesia entered an era of revolution that continued to develop with this flight, students are required to adapt to existing development patterns such as social media platforms or e-commerce with financial literacy, lifestyle, and self-control as the basis for managing student finances. This research aims to determine the impact that financial literacy, lifestyle, and self-control have on the financial management of the student exchange program at Mataram University. This research uses quantitative methods with a descriptive quantitative type. The population in this study were the student exchange at Mataram University, using the purposive sampling method with the Slovin technique so that the total sample obtained was 150 students. The research results showed a significant effect but lifestyle had an insignificant impact. After going through the second model, namely intervening, it was found that all the results had a significant effect through self-control as an intermediate variable.

Public transport mode choice behavior of different-income passengers during large-scale public health incidents

Public transport ridership has been hit hard by the COVID-19 pandemic in many countries. Investigating passengers' public transport mode choice behavior during large-scale public health incidents can uncover the major influential factors and help propose policies and strategies to reduce the pandemic transmission and recover the public transport revenue. This study develops an integrated choice and latent variables (ICLV) model by income based on structural equation model to model passengers' public transport choice behavior during the normalized stage of the pandemic. The model considers passengers' socioeconomic attributes, travel attributes, and attitude-perception attributes, and can appropriately capture passengers' psychological latent attributes. Taking Beijing China as an example, we collect some revealed preference survey data online. The modeling results show that the risk perception as a mediator variable has a significant impact on mode preference. Moreover, the convenience of public transport has the largest influence on risk perception. These findings suggest that risk perception and the convenience of public transport play a major role in passengers' mode choice behavior. In addition, the impacts of the various influential factors on the public transport mode choices are significantly different across different income groups. Further, the ICLV model can achieve better performance and is superior to the traditional Multinomial Logit model. The modeling framework can help propose targeted and instructive strategies during the normalized stage of the pandemic by uncovering the major influential factors in passengers’ public transport mode choices, which is applicable to similar pandemics in the future.

Digital social responsibility towards digital education of international higher education students' institutions: Digital culture as mediator

Digital social responsibility (DSR) has emerged as a wise strategic decision for all higher education institutions during the new crown pandemic. This study explores whether the DSR dimensions (social, economic, legal, and environmental) enhance digital education (DE) in universities. Specifically, this paper intends to investigate the impact of digital culture (DC) on these relationships as a mediator variable. By adopting a cross-sectional approach, data are gathered through an online survey among a sample of 181 students from different nationalities in higher education institutions in Chang'an-China. The partial least squares-structural equation modelling has been used to perform the statistical analyses. Results revealed that all DSR dimensions directly and indirectly affect DE. DC also significantly influences students' DE during the new crown pandemic. Furthermore, our findings show that DC mediates the link between the social, economic, and environmental DSR aspects and students' DE. The study suggests Chinese universities review their DSR policies and student DC perspectives, and design social digital responsibility education programs. These measures can predict the success of student DE and provide a competitive edge as social media technology advances.

The effect of organizational justice and job involvement on organizational citizenship behavior (OCB) with organizational commitment as mediation variable

A hospital is a non- profit health service organization profit oriented, and own various specifications, specifically related with human resources. In this context, hospitals are often mentioned as an organization that is intensive in human resources, this is because it is in a hospital there are various professions and types of work that have specifications and tasks different principal. Apart from that, hospitals are also known as solid organizations regulations and intensive technology and science. Technology and science intensive knowledge because there is technology and sophisticated medical equipment as well the rapid development of science as a result of education and study in in House Sick. Congested regulations because in House Sick there is Lots regulation and terms service Which must obeyed by all over element Which There is At home Sick. This research aims to investigate influencing factors OCB to nurses at Samarinda Medika Citra Hospital. This research uses OCB as a dependent variable which influences Organizational Justice, Job involvement and Organizational Commitment as mediating variables. This research is categorized as explanatory research. The respondents in this study were nurses at Samarinda Medika Citra Hospital who had worked for more than 2 years and determining the sample size in this study used a saturated sample technique with a total sample of 172 respondents. The data collection method uses a questionnaire, and the data is analyzed using SEM-PLS. The findings from this research show that organizational justice, job involvement and organizational commitment have significant effects on OCB. Organizational Commitment also plays a role in mediating the relationship between organizational justice and work engagement hope OCB.

The influence of organizational culture and non-financial compensation on organizational commitment with job satisfaction as a mediation variable

Companies must be able to optimize human resources performance because they are an essential element in the organization and play an active role as planners, actors, and determinants for realizing organizational goals. This research aims to see the influence of organizational culture and non-financial compensation on organizational commitment, either directly or indirectly or through the mediation of job satisfaction. This research is categorized as explanatory research. The research respondents were permanent employees at the regional office of one of the largest banks in Indonesia. The sample size was determined using a total sampling of 150 respondents. The data collection method uses a questionnaire and is analyzed using PLS-SEM. The results show that organizational culture has a significant positive effect on organizational commitment, and non-financial compensation also has a positive and significant effect on organizational commitment. Organizational culture and non-financial compensation positively affect organizational commitment through the mediation of job satisfaction.

Corporate credit mismatch, financial leverage and corporate investment efficiency

We empirically test the relationship between credit mismatch and corporate investment efficiency. The study analyzes the heterogeneity of mismatch direction, corporate nature, and corporate life cycle. Results reveal that corporate credit mismatch has a significant negative impact on corporate investment efficiency; corporate financial leverage fully mediates this impact, indicating that corporations may increase their financial leverage to bridge financing gaps in cases of credit mismatch. This practice, however, may bring about greater financial risk and affect corporate investment efficiency. This study provides an important reference for enterprises and financial institutions for optimizing the financing environment, ensuring the effective allocation of financing resources, promoting the sustainable development of enterprises, thereby enhancing overall economic efficiency. This study also provides new ideas and future directions for studying corporate financing and investment behavior.

Genetic relations between type 1 diabetes, coronary artery disease and leukocyte counts.

Type 1 diabetes is associated with excess coronary artery disease (CAD) risk even when known cardiovascular risk factors are accounted for. Genetic perturbation of haematopoiesis that alters leukocyte production is a novel independent modifier of CAD risk. We examined whether there are shared genetic determinants and causal relationships between type 1 diabetes, CAD and leukocyte counts. Genome-wide association study summary statistics were used to perform pairwise linkage disequilibrium score regression and heritability estimation from summary statistics (ρ-HESS) to respectively estimate the genome-wide and local genetic correlations, and two-sample Mendelian randomisation to estimate the causal relationships between leukocyte counts (335,855 healthy individuals), type 1 diabetes (18,942 cases, 501,638 control individuals) and CAD (122,733 cases, 424,528 control individuals). A latent causal variable (LCV) model was performed to estimate the genetic causality proportion of the genetic correlation between type 1 diabetes and CAD. There was significant genome-wide genetic correlation (rg) between type 1 diabetes and CAD (rg=0.088, p=8.60 × 10-3) and both diseases shared significant genome-wide genetic determinants with eosinophil count (rg for type 1 diabetes [rg(T1D)]=0.093, p=7.20 × 10-3, rg for CAD [rg(CAD)]=0.092, p=3.68 × 10-6) and lymphocyte count (rg(T1D)=-0.052, p=2.76 × 10-2, rg(CAD)=0.176, p=1.82 × 10-15). Sixteen independent loci showed stringent Bonferroni significant local genetic correlations between leukocyte counts, type 1 diabetes and/or CAD. Cis-genetic regulation of the expression levels of genes within shared loci between type 1 diabetes and CAD was associated with both diseases as well as leukocyte counts, including SH2B3, CTSH, MORF4L1, CTRB1, CTRB2, CFDP1 and IFIH1. Genetically predicted lymphocyte, neutrophil and eosinophil counts were associated with type 1 diabetes and CAD (lymphocyte OR for type 1 diabetes [ORT1D]=0.67, p=2.02-19, ORCAD=1.09, p=2.67 × 10-6; neutrophil ORT1D=0.82, p=5.63 × 10-5, ORCAD=1.17, p=5.02 × 10-14; and eosinophil ORT1D=1.67, p=5.45 × 10-25, ORCAD=1.07, p=2.03 × 10-4. The genetic causality proportion between type 1 diabetes and CAD was 0.36 ± 0.16 (pLCV=1.30 × 10-2), suggesting a possible intermediary causal variable. This study sheds light on shared genetic mechanisms underlying type 1 diabetes and CAD, which may contribute to their co-occurrence through regulation of gene expression and leukocyte counts and identifies cellular and molecular targets for further investigation for disease prediction and potential drug discovery.

Quality of life among people with mental illness attending a psychiatric outpatient clinic in Ethiopia: a structural equation model.

Mental illness is one of the most severe, chronic, and disabling public health problems that affects patients' Quality of life (QoL). Improving the QoL for people with mental illness is one of the most critical steps in stopping disease progression and avoiding complications of mental illness. Therefore, we aimed to assess the QoL and its determinants in patients with mental illness in outpatient clinics in Northwest Ethiopia in 2023. A facility-based cross-sectional study was conducted among people with mental illness in an outpatient clinic in Ethiopia. The sampling interval was decided by dividing the total study participants who had a follow-up appointment during the data collection period (2400), by the total sample size 638, with the starting point selected by lottery method. The interviewer-administered WHOQOL BREF-26 tool was used to measure the quality of life (QoL) of people with mental illness. The domains of QoL were identified, and indirect and direct effects of variables were calculated using structural equation modelling with SPSS-28 and Amos-28 software. A p-value of < 0.05 and a 95% CI were used to evaluate statistical significance. A total of 636 (99.7%) participants agreed to participate and completed the data collection. The mean score of overall QoL of people with mental illness in the outpatient clinic was 49.6 ± 10 Sd. The highest QoL was found in the physical health domain (50.67 ± 9.5 Sd), and the lowest mean QoL was found in the psychological health domain (48.41 ± 10 Sd). Rural residence, drug nonadherence, suicidal ideation, not getting counselling, moderate or severe subjective severity, family does not participate in patient care and a family history of mental illness had an indirect negative effect on QoL. Alcohol use and psychological health domain had direct positive effect on QoL. Furthermore, objective severity of illness, having low self-esteem, and having history of mental illness in the family had both direct and indirect effect on QoL. Furthermore, sociodemographic factors (rural residence, illiterate educational status, not married marital status), social support-related factors (poor self-esteem, family not participating in patient care), substance use factors (alcohol use, tobacco use) and clinical factors (high objective and subjective severity of illness, not getting counselling, suicidal ideation, higher number of episodes, comorbid illness, family history of mental illness, poor drug adherence) directly and indirectly affected QoL. In this study, the QoL of people with mental illness was poor, with the psychological health domain the most affected. Sociodemographic factors, social support-related factors, drug use factors, and clinical factors, directly and indirectly affected QoL through the mediator variables of physical health domains, psychological health domains, social relation health domains, and environmental health domains. In order to improve the QoL of people with mental illnesses, we recommend that emphasis be given to addressing the QoL of those with mental illness, including the development of policy and practice responses that address the above identified factors.

Self-differentiation as an intermediate variable between anger management and neurotic perfectionism among high achievers “a psychological study of the rights of special education”

PurposeThis study aims to explore the intermediate role of self-differentiation in anger management and neurotic perfectionism for a sample of high achievers at some public universities in Egypt and Saudi Arabia. This increases the chances of these students obtaining their rights.Design/methodology/approachThe researcher used the microcopy of Drake, Murdock, Marszalek and [(the Differentiation of Self Inventory—Short Form (DSI-SF)] scale, differentiation of self child-adolescent perfectionism scale and Davidson and Munro (2000) scale of neurotic perfectionism in addition to the anger management scale of the current study. The researcher used the appropriate statistical methods and the descriptive design to find the results.FindingsThe results showed that there is no statistically significant difference among male and female students in the positive anger management while three was a statistically significant difference among them in the negative anger management favoring male students. Further, there were no statistically significant differences among the study sample according to the country (Egypt and Saudi Arabia) in anger management (positive and negative). Moreover, there was a correlation matrix between the study variables as shown in the study; The statistical analysis was conducted to identify the suggested constructive model and variables of the study, anger management (positive-negative) as an independent variable, self-differentiation as an intermediate variable and neurotic perfectionism as a dependent variable among high achievers, This explains the necessity of preparing the environment for these students to become more healthy, through which they can enjoy all their rights as a category of special education, where most of the focus is on the handicapped groups from special education more than the high achievers’ students.Originality/valueThe study recommended that higher education courses should focus on anger management skills and the development of self-differentiation and the positive part of perfectionism. Also, the current study provided the educators of higher education with some suggestions to promote it and develop high achievers, which may lead to positive mental and physical health for high achievers and raising awareness of society and obtaining their rights in education and life.

Convex optimization of stochastic path-constrained trajectories near asteroids

The environment around asteroids is of significant uncertainties, which could cause great challenges of exploration missions to asteroids. This paper presents a novel approach to stochastic optimal problem in path-constrained trajectory optimization near asteroids based on convex approach. The path constraints that prevent the spacecraft from colliding with asteroid in different scenarios are composed of keep-out zone constraint and glide-slope constraint, which are formulated in chance-constraint forms due to the uncertain state. To convexify these constraints, the first-order Taylor expansion is applied for linearization and the nonconvexity is tackled with the introduction of additional intermediate variable and virtual buffer. Thereafter, a convex optimization based method is proposed to solve stochastic optimal problem. The effectiveness of the proposed method is validated through simulations of soft landing and hopping transfer scenarios near irregular-shaped asteroid 1996HW1. The results indicate that the proposed method can generate path-constrained trajectories under uncertainties using convex optimization.

Path-specific causal decomposition analysis with multiple correlated mediator variables.

A causal decomposition analysis allows researchers to determine whether the difference in a health outcome between two groups can be attributed to a difference in each group's distribution of one or more modifiable mediator variables. With this knowledge, researchers and policymakers can focus on designing interventions that target these mediator variables. Existing methods for causal decomposition analysis either focus on one mediator variable or assume that each mediator variable is conditionally independent given the group label and the mediator-outcome confounders. In this article, we propose a flexible causal decomposition analysis method that can accommodate multiple correlated and interacting mediator variables, which are frequently seen in studies of health behaviors and studies of environmental pollutants. We extend a Monte Carlo-based causal decomposition analysis method to this setting by using a multivariate mediator model that can accommodate any combination of binary and continuous mediator variables. Furthermore, we state the causal assumptions needed to identify both joint and path-specific decomposition effects through each mediator variable. To illustrate the reduction in bias and confidence interval width of the decomposition effects under our proposed method, we perform a simulation study. We also apply our approach to examine whether differences in smoking status and dietary inflammation score explain any of the Black-White differences in incident diabetes using data from a national cohort study.

Stress Unseen: The Role of Social Connectedness on Digital Wellbeing for Students and Professionals

The rapid development of technology is making it faster and more accessible for people worldwide to communicate and socialise. However, exposure to and use of online social media can harm well-being and psychosocial development, including mental health. This study investigates the relationship between perceived stress and digital well-being with social connectedness as a mediator variable. The research participants were recruited by convenience sampling, including 242 students and 100 workers. The regression analysis shows that the study's result implies that stress as a determinant of mental health has a mixed impact on overall digital well-being based on an individual's social connectedness. The findings of this study indicate potential long-term benefits or drawbacks in the debate regarding the use of digital media and technology in stressful situations for active users of digital media and technology, particularly among students.

The Impact of Market Place Persona Based Neuromarketing on Brand Identity and Consumer Attitude on SDG's

Objective: The objective of this study is to investigate the impact of persona-based neuromarketing on brand identity and consumer attitude in the digital marketplace, with the aim of understanding how neuromarketing principles can enhance consumer engagement and marketing effectiveness. Theoretical Framework: This topic is underpinned by several key concepts and theories. Häusel's Limbic Map, consumer behavior theories, and digital marketing frameworks provide a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research comprises a quantitative approach using structural equation modelling with SmartPLS. Participants included 440 respondents, who were surveyed via Google Forms. The study analyzed variables such as Persona, User Interaction, Information Quality, Ease of Use, Visual Design, Entertainment Value, Customization, and Website Domain. Results and Discussion: The results obtained revealed that consumer perceptions of marketplace personas significantly impact their attitudes, with mediator variables playing a crucial role. The marketplace itself acts as a confounding variable, influencing the relationship between brand persona and consumer engagement. In the discussion, these results are contextualized in light of the theoretical framework, highlighting the importance of aligning branding strategies with target audience motivations. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied in the field of digital marketing. These implications could encompass e-commerce strategy development, brand management, and consumer engagement tactics. Originality/Value: This study contributes to the literature by applying innovative neuromarketing techniques to the digital marketplace context, offering new insights into consumer behavior. The relevance and value of this research are evidenced by its potential to enhance consumer loyalty and brand equity, aligning with SDG 8 and SDG 9.

Identification and estimation of causal effects in the presence of confounded principal strata.

Principal stratification has become a popular tool to address a broad class of causal inference questions, particularly in dealing with non-compliance and truncation by death problems. The causal effects within principal strata, which are determined by joint potential values of the intermediate variable, also known as the principal causal effects, are often of interest in these studies. The analysis of principal causal effects from observational studies mostly relies on the ignorability assumption of treatment assignment, which requires practitioners to accurately measure as many covariates as possible so that all potential sources of confounders are captured. However, in practice, collecting all potential confounding factors can be challenging and costly, rendering the ignorability assumption questionable. In this paper, we consider the identification and estimation of causal effects when treatment and principal stratification are confounded by unmeasured confounding. Specifically, we establish the nonparametric identification of principal causal effects using a pair of negative controls to mitigate unmeasured confounding, requiring they have no direct effect on the outcome variable. We also provide an estimation method for principal causal effects. Extensive simulations and a leukemia study are employed for illustration.

Retraction notice: Self-differentiation as an intermediate variable between anger management and neurotic perfectionism among high achievers “a psychological study of the rights of special education”

Retraction notice: Self-differentiation as an intermediate variable between anger management and neurotic perfectionism among high achievers “a psychological study of the rights of special education”

The role of employees in continuous improvement: a study on employee participation

Purpose This study aims to delve into the mechanisms through which managers can enhance employee participation effectively. Design/methodology/approach This study adopts the Motivation-Opportunity-Ability (MOA) framework to identify the interrelationships among various drivers. Different levels of Continuous Improvement (CI) maturity were also considered to assess the effectiveness of these drivers on employee participation. An in-depth case study was conducted, involving the selection of four business units from a multinational manufacturer in Germany to represent varying levels of CI maturity. Findings This study uncovered intermediary variables that mediate the impact of drivers on the high-level MOA variables. It also revealed how the effectiveness of these drivers varies across different levels of CI maturity. Originality/value While different facets of CI have been scrutinized, the importance of employee participation stands out as pivotal for achieving enduring and meaningful progress. Despite this recognition, many business organizations continue to grasp with the challenge of motivating their employees to actively engage in CI initiatives. This study extends the applicability of the MOA framework and enriches the CI literature by offering deeper insights into the behavioural perspectives of employees. In practical terms, the findings of this study provide valuable guidance to decision-makers and HR department on staff training and development, enabling them to formulate more effective strategies aimed at fostering and augmenting employee participation in CI endeavours.

Analisis Komitmen Organisasi Dengan Komitmen Profesional Di Lingkungan Bisnis Pangandaran

The purpose of this study is to investigate how business ethics and work ethics affect organizational and professional commitment, with the professional commitment variable serving as an intermediary variable. The primary data for this study were gathered by filling out and submitting a questionnaire to the researcher on behalf of external auditors. The study's findings demonstrate that the external auditor performs his or her duties and serves as an external auditor more effectively the more he or she understands the accepted practice or rule of the workplace, whether it be business ethics, Islamic work ethics, or professional ethics. Additionally, it affects his organizational and professional commitments as an external auditor.

Linking responsible leadership and sustainable performance through the mediation of maintenance management implementation and agile organization

Under the concept of independent maintenance proposed by the Meteorology, Climatology, and Geophysics Agency (BMKG) for operational equipment, a thorough analysis of its management processes is necessary. Leadership involvement at various levels can affect maintenance outcomes, impacting sustainability. This research creates a thinking model that connects responsible leadership (RL) with sustainable performance (SP) through agile organization (AO) mediation and maintenance management implementation (MMI) in the management of leading operations equipment. The method used was a survey of 366 respondents who were BMKG employees, and explanatory analysis was analyzed based on descriptive statistical analysis using SmartPLS. The research results show that the third hypothesis proposed is acceptable, and the two mediator variables are partial mediation. The discussion of the study results shows some theoretical and practical implications for achieving the goals of SP, where organizations should encourage RL behavior that can implement current practices regarding AO and MMI. The test results show that AO and MMI have a significant role as mediators in encouraging the influence of RL on SP. This study is the first step in examining the relationship of RL to SP using AO and MMI mediation. Furthermore, this model can be developed and analyzed in other sectors or fields to increase knowledge.

Using structural equation modeling to investigate students’ satisfaction with an undergraduate tutorial system

BackgroundThe undergraduate tutorial system (UTS) is a crucial measure in China for adhering to the principle of prioritizing foundational education, innovating the undergraduate talent training mode, and building a powerful country of higher education. This study investigated undergraduate students’ satisfaction with UTS and the influencing factors, aiming to promote the healthy and sustainable development of UTS and provide practical implications and suggestions for universities.MethodsBased on relevant theories, we conducted a survey study and leveraged structural equation modeling to assess students’ satisfaction with UTS and explore the influencing factors.ResultsOur Pearson correlation analysis showed that students’ satisfaction with mentors was positively correlated with dimensions such as humanistic care (r = 0.844, P < 0.05), mentor assistance (r = 0.906, P < 0.05), and mentor-student communication (r = 0.908, P < 0.05). Path analysis showed that mentor-student communication (β = 0.486, P < 0.01), mentor assistance (β = 0.228, P < 0.05), humanistic care (β = 0.105, P < 0.05) were positive factors affecting students’ satisfaction with mentors, while satisfaction with mentors (β = 0.923, P < 0.01) had a positive impact on students’ satisfaction with UTS. Students’ satisfaction with mentors explained 73.4% of the variation in students’ satisfaction with UTS, indicating that satisfaction with mentors was an important intermediary variable of UTS students.ConclusionThe sustainable implementation of UTS requires the effort to improve student satisfaction, and the breakthrough of strengthening the targeted mentorship in “transmitting wisdom, imparting knowledge, and resolving doubts” for students. Efforts should also be devoted to fostering students’ comprehensive skills and better serving the cultivation of talents in the new era.