Structural Equation Modeling Analysis Research Articles

Consumer preference and willingness to pay for 3D-printed chocolates: A discrete choice experiment

This study explores the emerging field of 3D food printing, specifically examining consumer preferences for 3D-printed chocolate bars. While 3D printing has revolutionized various industries, the consumer acceptance of 3D-printed food remains a relatively underexplored topic. A discrete choice experiment was conducted to investigate consumer preferences and willingness to pay for 3D-printed chocolate bars in the UK. Key attributes included in the study were price, chocolate type, and the use of 3D printing technology. Using a mixed logit model, preference heterogeneity was assessed, revealing a general inclination towards 3D-printed chocolates, with an estimated increase in willingness to pay of £0.21 per 100g. Furthermore, the influence of individual (participants’) characteristics, such as age, gender, prior knowledge of 3D food printing, and food technology neophobia, on perceived benefits associated with this technology and willingness to pay was also explored, using a structural equation modeling analysis. The results indicated that only perceived hedonic benefits, such as improved texture, positively impacted the willingness to pay, while food technology neophobia acted as a significant barrier. The results of this study therefore contribute valuable insights into the consumer acceptance of 3D-printed foods, specifically chocolates, highlighting potential avenues for market adoption and emphasizing the importance of effective communication in shaping consumer attitudes toward novel food processing technologies.

Beware of cyberbullying! Evidence from high school students in Indonesia

Cases of cyberbullying among high school students have become the center of attention of educational institutions as a new form of bullying using information technology. Many studies examine cyberbullying as a new form of bullying. However, studies on school climate, social support, and social self-efficacy in reducing cyberbullying behavior among high school students are still limited. Therefore, this study investigates the effect of school climate, social support, and social self-efficacy on cyberbullying behavior. This study involved 290 high school students in three schools in Kupang City, Indonesia. We used a simple random sampling technique to determine which respondents were involved. SPSS version 20 and Amos 18 software were used to analyze the data for this study. Data analysis in this study used structural equation modeling (SEM) analysis. The study’s results revealed that school climate and social self-efficacy significantly negatively affected high school students’ cyberbullying behavior. Meanwhile, social support has no direct influence on students’ cyberbullying behavior. Social self-efficacy has also been shown to mediate the effect of school climate on high school students’ cyberbullying behavior. An in-depth discussion is presented in this paper to provide an overview of the critical implications for educational practitioners.

Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites.

Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models are determined by the subjectively assigned scales of the latent variables. Thus, conclusions in existing studies comparing structural equation modeling (SEM) and path analysis with weighted composites (PAWC) on the accuracy and precision of the estimates of the indirect effect in mediation analysis have little validity. Instead of comparing the size on estimates of the indirect effect between SEM and PAWC, this article compares parameter estimates by signal-to-noise ratio (SNR), which does not depend on the metrics of the latent variables once the anchors of the latent variables are determined. Results show that PAWC yields greater SNR than SEM in estimating and testing the indirect effect even when measurement errors exist. In particular, path analysis via factor scores almost always yields greater SNRs than SEM. Mediation analysis with equally weighted composites (EWCs) also more likely yields greater SNRs than SEM. Consequently, PAWC is statistically more efficient and more powerful than SEM in conducting mediation analysis in empirical research. The article also further studies conditions that cause SEM to have smaller SNRs, and results indicate that the advantage of PAWC becomes more obvious when there is a strong relationship between the predictor and the mediator, whereas the size of the prediction error in the mediator adversely affects the performance of the PAWC methodology. Results of a real-data example also support the conclusions.

Perceived social support and treatment adherence in Chileans with Type 2 diabetes.

This study aimed to determine if greater perceived social support was directly associated with better Type 2 diabetes (T2D) treatment adherence and if better T2D treatment adherence was related to lower HbA1c levels in Chilean adults with T2D. For this purpose, 200 adults were recruited from the Chilean Diabetic Association. Participants were asked to complete self-report instruments and provide a capillary blood sample to measure HbA1c. Structural equation model analyses were performed to determine direct associations. The study's results indicate that greater perceived social support was associated with healthier dietary habits, regular foot care, more frequent physical activity, and lower medication intake. Likewise, blood sugar testing and physical activity were related to HbA1c. These findings provide evidence of how perceived social support relates to T2D treatment adherence behaviors in Latino patients from South America and could be used for interventions to enhance social support from patients' families, partners, and friends.

Assessing the Key Factors Influencing Renewable Energy Generation in Mozambique: A Structural Equation Modelling Analysis

Structural equation modelling analysis was performed to identify various variables that influence the growth of Renewable Energy Production (REG) in Mozambique. The study revealed that the government's policies regarding renewable energy generation in Mozambique are of moderate quality. However, by implementing skillfully crafted policies and plans, there is a possibility for additional progress and growth. The progress of renewable energy initiatives in Mozambique is significantly influenced by the investment climate for such projects. Although the government has established a favourable environment for investors, it primarily caters to foreign investors rather than local and private investors. Environmental considerations significantly influence the growth of renewable energy generation (REG) in Mozambique. This study highlighted the need to consider environmental issues throughout the planning and execution of REG projects. The lack of technical and managerial proficiency in a particular area can be resolved by importing foreign specialists, either on a temporary or permanent basis. Concurrent with the global goal of shifting to clean energy-producing technologies, this study attempts to identify and assess the variables that influence the growth and development of renewable energy businesses in Mozambique. Setting priorities for energy efficiency can uncover several economic prospects, fostering the growth of a market for innovative solutions and facilitating the construction of specialized firms in this field. Consequently, this will entice investment from both domestic business owners and investors from other countries.

Facilitating the Smooth Migration of Inhabitants of Atoll Countries to Artificial Islands: Case of the Maldives

The vulnerability of atoll countries to sea level rise underscores the pivotal connection between climate change and migration. This study examines the multifaceted challenges faced by such countries, including land loss, economic disruption, water contamination, and increased vulnerability to extreme weather events, and potential adaptation strategies, such as migration to developed countries and other islands, land reclamation, and floating platform development. The situation of the Maldives, particularly the creation of the artificial island of Hulhumalé, is explored as a case study. Hulhumalé is designed to alleviate congestion while addressing concerns about rising sea levels. This study employed a questionnaire survey and analyzed the data using importance analysis of permutation features and structural equation modeling following the Wilcoxon–Mann–Whitney tests. The results revealed that the key factors influencing resident satisfaction after migration were clean housing, resilience to natural disasters, sports facilities, and environmental quality. Adaptation strategies must be tailored to each country’s unique circumstances, considering the interconnectedness of environmental and socioeconomic factors in addressing climate-induced migration. Considering Hulhumalé as a model for climate change adaptation, concerted global action is necessary to mitigate the impacts of climate change and ensure the security and well-being of vulnerable populations.

Explanatory and predictive analysis of smartphone security using protection motivation theory: a hybrid SEM-AI approach

PurposeThis research aims to understand the smartphone security behavior using protection motivation theory (PMT) and tests the current PMT model employing statistical and predictive analysis using machine learning (ML) algorithms.Design/methodology/approachThis study employs a total of 241 questionnaire-based responses in a nonmandated security setting and uses multimethod approach. The research model includes both security intention and behavior making use of a valid smartphone security behavior scale. Structural equation modeling (SEM) – explanatory analysis was used in understanding the relationships. ML algorithms were employed to predict the accuracy of the PMT model in an experimental evaluation.FindingsThe results revealed that the threat-appraisal element of the PMT did not have any influence on the intention to secure smartphone while the response efficacy had a role in explaining the smartphone security intention and behavior. The ML predictive analysis showed that the protection motivation elements were able to predict smartphone security intention and behavior with an accuracy of 73%.Research limitations/implicationsThe findings imply that the response efficacy of the individuals be improved by cybersecurity training programs in order to enhance the protection motivation. Researchers can test other PMT models, including fear appeals to improve the predictive accuracy.Originality/valueThis study is the first study that makes use of theory-driven SEM analysis and data-driven ML analysis to bridge the gap between smartphone security’s theory and practice.

Reaching Malaysian ESL students through Instagram stories - perceived effectiveness, language exposure and learner engagement: A structural equation modelling analysis

Students often find discontinuation between classroom learning and out-of-school practice. As Generation Z and millennials are avid users of Instagram and Instagram Stories, this research aims to study the perceived effectiveness of social media on language exposure and learner engagement, with a learner’s perceived proficiency as a moderating effect. A total of 202 Malaysian Chinese Independent Secondary School Senior 2 and Senior 3 students took part in the Google Form survey. This quantitative study employed partial least squares structural equation modelling for data analysis. The results showed that Instagram Stories are perceived to be effective and useful as it contributes to language exposure and learner engagement agentically, cognitively, and emotionally. However, a learner’s perceived proficiency was not found to be a significant moderator. Future studies point towards exploring English learning outside of the classroom context using other engaging social media tools such as TikTok and more.

The relationship and pathways between resting-state EEG, physical function, and cognitive function in older adults

ObjectiveBased on resting-state electroencephalography (EEG) evidence, this study aimed to explore the relationship and pathways between EEG-mediated physical function and cognitive function in older adults with cognitive impairment.MethodsA total of 140 older adults with cognitive impairment were recruited, and data on their physical function, cognitive function, and EEG were collected. Pearson correlation analysis, one-way analysis of variance, linear regression analysis, and structural equation modeling analysis were conducted to explore the relationships and pathways among variables.ResultsFP1 theta (effect size = 0.136, 95% CI: 0.025–0.251) and T4 alpha2 (effect size = 0.140, 95% CI: 0.057–0.249) were found to significantly mediate the relationship. The direct effect (effect size = 0.866, 95% CI: 0.574–1.158) and total effect (effect size = 1.142, 95% CI: 0.848–1.435) of SPPB on MoCA were both significant.ConclusionHigher physical function scores in older adults with cognitive impairment were associated with higher cognitive function scores. Left frontal theta and right temporal alpha2, as key observed indicators, may mediate the relationship between physical function and cognitive function. It is suggested to implement personalized exercise interventions based on the specific physical function of older adults, which may delay the occurrence and progression of cognitive impairment in older adults with cognitive impairment.

Analysis of the factors influencing of sleep quality in intensive care unit awake patients based on a structural equation model: A cross-sectional study.

The objective of this study was to construct and validate a structural equation model (SEM) to identify factors associated with sleep quality in awake patients in the intensive care unit (ICU) and to assist in the development of clinical intervention strategies. In this cross-sectional study, 200 awake patients who were cared for in the ICU of a tertiary hospital in China were surveyed via several self-report questionnaires and wearable actigraphy sleep monitoring devices. Based on the collected data, structural equation modelling analysis was performed using SPSS and AMOS statistical analysis software. The study is reported using the STROBE checklist. The fit indices of the SEM were acceptable: χ2/df = 1.676 (p < .001) and RMSEA = .058 (p < 0.080). Anxiety/depression had a direct negative effect on the sleep quality of awake patients cared for in the ICU (β = -.440, p < .001). In addition, disease-freeness progress had an indirect negative effect on the sleep quality of awake patients cared for in the ICU (β = -.142, p < .001). Analgesics had an indirect negative effect on the sleep quality of awake patients cared for in the ICU through pain and sedatives (β = -.082, p < .001). Sedation had a direct positive effect on the sleep quality of conscious patients cared for in the ICU (β = .493; p < .001). The results of the SEM showed that the sleep quality of awake patients cared for in the ICU is mainly affected by psychological and disease-related factors, especially anxiety, depression and pain, so we can improve the sleep quality of patients through psychological intervention and drug intervention.

Knowledge, attitude, and practice toward ultrasound screening for breast cancer among women

BackgroundSeveral obstacles can hinder breast cancer screening. This study aimed to investigate the knowledge, attitude, and practice (KAP) toward ultrasound screening for breast cancer in women.MethodsThis cross-sectional study recruited women who visited the breast specialist clinic of Zhongshan City People’s Hospital (a tertiary hospital) between August 2022 and April 2023 through convenience sampling. KAP scores ≥70% were considered adequate.ResultsThis study enrolled 501 participants. The mean knowledge, attitude, and practice levels were 8.56 ± 1.81/12 (possible range 0–12, 71.33%), 29.80 ± 2.71 (possible range 8–40, 74.50%), and 32.04 ± 3.09 (possible range 8–40, 80.10%). Senior high school education (vs. junior high school and below, coefficient = 1.531, 95%CI: 1.013–2.312, p = 0.044), bachelor’s education and above (vs. junior high school and below, coefficient = 5.315, 95%CI: 3.546–7.966, p &amp;lt; 0.001), housewife or unemployed (vs. employed, coefficient = 0.671, 95%CI: 0.466–0.966, p = 0.032), and a history of breast ultrasound (vs. no, coefficient = 1.466, 95%CI: 1.121–1.917, p = 0.005) were independently and positively associated with knowledge. Knowledge (coefficient = 1.303, 95%CI: 1.100–1.544, p = 0.002) and monthly income &amp;gt;10,000 (vs. &amp;lt;5,000, coefficient = 4.364, 95%CI: 1.738–10.956, p = 0.002) were independently and positively associated with attitude. Only attitude (coefficient = 1.212, 95%CI: 1.096–1.340, p &amp;lt; 0.001) was independently and positively associated with the practice. A structural equation modeling (SEM) analysis was used to estimate causality among KAP dimensions, showing that knowledge directly influenced attitude (β = −1.090, p = 0.015), knowledge did not directly influence practice (β = −0.117, p = 0.681) but had an indirect influence (β = 0.826, p = 0.028), and attitude directly influenced practice (β = −0.757, p = 0.016).ConclusionWomen in Zhongshan City had good knowledge, favorable attitudes, and active practice toward breast ultrasound screening for breast cancer. Women’s characteristics associated with a poorer KAP were identified, allowing for more targeted interventions.

How does narcissistic leadership influence change-oriented organizational citizenship behavior? Empirical evidence from China

Based on conservation of resources theory and the work–home resources model, this study examines how and when narcissistic leadership influences employees’ change-oriented organizational citizenship behavior. A total of 363 employees from 61 teams across numerous enterprises based in central China were surveyed using a questionnaire. The study hypotheses were tested using structural equation modeling and Monte Carlo simulation analysis. The findings revealed that narcissistic leadership results in the development of a negative team climate, termed “team chaxu climate,” which, in turn, hinders employees’ change-oriented organizational citizenship behavior. Furthermore, this study explored the moderating role of leaders’ family affective support in the relationship between narcissistic leadership and team chaxu climate. This study contributes to our understanding of the relationship between narcissistic leadership and employee organizational citizenship behavior and empirically validates the work–home resources model.

Evaluation of pursuance intention among mechanical and manufacturing engineering students in the Philippines: A higher-order structural equation modeling approach

Constant development in the fields of mechanical and manufacturing engineering has been observed since the pandemic due to the rise of technology, robotics, and connectivity. However, a decline in enrollees for these programs is evident. The main objective of this study was to assess the pursuance intention of students to take these programs among 337 enrolled students in the Philippines. The integrated self-determination theory (SDT) and theory of planned behavior underwent a higher-order partial least square structural equation modeling analysis to completely assess significant factors affecting pursuance intention. Results showed that the SDT domains presented the most significant effect, followed by student motivation, attitude, and control. Based on the results, it could be posited that students from the Philippines believe that there are ample opportunities and careers in this engineering field. They anticipate having a well-respected profession with significant societal impact and practical applications, along with challenging responsibilities, and both local and international opportunities both local and international opportunities. In addition, they foresee great mobility, job security, and professional establishment in the future. As the first study to consider this area of analysis, the framework and methodology could be further developed, extended, and applied in other educational studies worldwide.

Navigating the new normal: How workplace isolation impacted teleworkers' psychological well-being in Covid-19? The roles of perceived organizational support and job insecurity.

During the Covid-19 period, academics have given great importance to the concept of teleworking. However, despite this interest, empirical studies investigating the effect of workplace isolation on employees' behavior during Covid-19 are limited. This study aims to investigate the relationship between workplace isolation and psychological well-being in light of the mediating role of perceived organizational support and the moderating role of job insecurity. Within the scope of the research, teleworkers in accordance with the isolation rules was used as a criterion for the selection of the participants. In this vein, data collected from 382 respondents were investigated using structural equation modelling analysis. The results indicate that (1) workplace isolation positively relate to perceived organizational support and negatively related to psychological well-being, (2) perceived organizational support positively relate to psychological wellbeing, (3) perceived organizational support mediates the relationship between workplace isolation and psychological well-being, and (4) job insecurity moderates the relationship between perceived organizational support and psychological well-being. It is imperative to understand telework employees' psychological and emotional processes, which have gained speed in the last year, in adapting to the new order. This study is critical in understanding the psychological processes of teleworkers.

Whether Access to Agricultural AID Improves the Welfare of Farmer Households in Palopo, Indonesia with Budget as a Moderate Variable

Purpose: The agricultural industry significantly contributes to poverty alleviation, particularly in rural regions as opposed to metropolitan ones. Hence, government programs should be able to target the areas afflicted by poverty effectively. Rural regions serve as the hub of commercial operations and play a crucial role in safeguarding and empowering farmers, particularly those who are small-scale. Methodology/approach: This research aims to analyze the access to assistance and agricultural estimates by examining farmers' prescriptions. Data analysis techniques in this study are explanatory, descriptive statistical techniques with quantitative approaches and inferential statistical analysis using the Structural Equation Modeling (SEM). Results: The objective is to determine if there is an impact on the growth in farm family welfare in the City of Palopo based on data from 105 farmers. This study utilises a descriptive and explanatory methodology, including quantitative techniques and inferential statistical analysis via Structural Equation Modelling (SEM) utilising Partial Least Squares (PLS). Hypothesis 1: Influence Aid (X) positively and significantly impacts to (Y) Household Welfare is accepted. The outcomes of SEM analysis obtained T statistical = 4.339 &gt; T table = 1.983 and P value = 0.000 &lt; Cut off Value = 0.05. Hypothesis 2: Influence the Aid (X) positively and significantly to (Z) Budget is accepted. The outcomes of the SEM analysis obtained T statistical = 89,957 &gt; T table = 1.983 and P value = 0.000 &lt; Cut off Value = 0.05. Hypothesis 3: Influence the Budget (Z) positively and significantly to (Y) Household Welfare is accepted. The outcomes of SEM analysis obtained T statistical = 2,872 &gt; T table = 1.983 and P value = 0.004 &lt; Cut off Value = 0.05. Hypothesis 4: Influence the Aid (X) positively and significantly to (Y) Household Welfare through Budget (Z) as a moderate variable is accepted. The outcomes of SEM analysis obtained T statistical = 2,830 &gt; T table = 1.983 and P value = 0.005 &lt; Cut off Value = 0.05. Originality/scientific novelty: It was found that the access of farmer group households to agricultural assistance and the sustainable use of budgets and their very effective distribution in general can be said to greatly improve the welfare of farmer group households. This research is topically broader in scope making it very specific based on the scope of sources in Palopo, Indonesia. As far as is known, these results have not been previously reported. Practical value/implications: Management in the distribution of aid and access to agricultural budgets which are very vulnerable to misappropriation by the state apparatus has been identified as not improving the welfare of farmer households. One very effective way is to increase inherent surveillance.

Early traumatic experiences are linked to hypersexual behavior and erectile dysfunction in men through the mediation of body uneasiness and general psychopathology.

Childhood traumatic experiences have been associated with hypersexuality and sexual dysfunctions. However, the mediators of the interactions between these variables should be clarified in men. This study aimed to investigate the interaction of early traumatic experiences, psychopathology, and sexuality with respect to erectile dysfunction (ED) and hypersexual behavior. The hypothesized model expected that traumatic experiences would be associated with hypersexual behavior and reduced sexual functioning through the mediation of body uneasiness and psychological distress. The study was cross-sectional and observational. A total of 317 men were enrolled. Male patients with a primary complaint of ED and an indication for psychiatry referral represented the clinical sample (n = 116; mean ± SD age,42.82 ± 16.89years). Clinical classification was assessed with the Structured Interview on Erectile Dysfunction. The second sample (n = 201, 30.82 ± 11.94years) was recruited from the general population. All participants were administered the following questionnaires: Brief Symptom Inventory, Childhood Trauma Questionnaire-Short Form, Hypersexual Behavior Inventory, Body Uneasiness Test-A, and 5-item International Index of Erectile Function. Psychopathology and sexual functioning were assessed by a dimensional approach, and a multivariate model was computed by structural equation model analysis. When compared with the sample from the general population, the clinical sample exhibited a higher prevalence of early traumatic experiences, as measured by scores on the Childhood Trauma Questionnaire-Short Form (45.08 ± 14.25 vs 39.03 ± 10.22, F = 17.63, P < .001), and a higher tendency to engage in hypersexual behaviors (34.63 ± 13.55 vs 30.79 ± 12.44, F = 6.97, P < .01). Structural equation model analysis showed excellent fit indices indicating that early traumatic experiences predicted hypersexual behaviors and ED through the exacerbating mediating effect of body uneasiness and psychopathology. Clinicians should not limit their attention to the behavioral level when assessing sexual dysfunction in men; rather, they should also consider the complex psychopathologic consequences of childhood trauma. Integrated treatments that address the potential presence of childhood trauma with its wider psychological correlates (eg, emotion dysregulation, body uneasiness) might improve treatment response. The study reports novel data on the relationship among childhood maltreatment, male sexuality, and psychopathologic mediators with a dimensional assessment. However, the assessment was cross-sectional, and causality was mainly derived from previous studies. The present study enriches the current literature, strengthening the hypothesis that childhood traumatic experiences significantly shape development and sexuality. Body uneasiness and psychopathology can both tax sexual functioning, as assessed by erectile functioning or hypersexuality.

Does Digital Leadership Impact the Performance of Lower-Middle-Class Hospitals?

Even though Indonesia has a large number of hospitals and has experienced significant progress in realizing Universal Health Coverage (UHC), service performance is still relatively low, so many patients seek treatment abroad. The performance of services and care systems in hospitals is often associated with low use of digital technology. The complexity of adopting digital technology in a hospital environment is not an easy thing to do, with the majority of users carrying out digital technology functions being health officers and professionals. This research aims to explore the influence of Digital Leadership in encouraging the adoption of digital technology and its influence on Hospital Performance. Survey data conducted on 285 leaders of Class C and D hospitals spread throughout Indonesia, through Structural Equation Modeling (SEM) analysis using Lisrel 8.80, it was found that there was a positive and significant influence on the role of Digital Adoption Capability as a mediation on Hospital Performance. It was found that Digital Leadership has a positive and significant influence on hospital performance both directly and through the mediation of Digital Adoption Capability. Environmental Dynamism factors have also been proven to significantly influence hospital management’s desire to improve performance through the adoption of digital technology. The model resulting from this research provides a comprehensive view of hospital management in developing effective digital technology adoption strategies in facing an ever-changing environment.

The Effect of Product Quality, Price Perception on Purchasing Decisions with Purchase Intention as Mediating

This study aims to determine the effect of product quality and price perception on purchasing decisions through buying interest as a mediation on Yamaha motorcycle consumers in Jabodetabek and their understanding from an Islamic point of view. The sampling technique used is purposive sampling. Data were collected using a survey method with a questionnaire instrument. The data analysis method used is Partial Last Square Structural Equation Modeling (PLS-SEM) analysis. The results show that product quality has a positive and significant effect on purchasing decisions, and price perceptions have a positive and significant effect on purchasing. Decisions and product quality have a positive and significant effect on buying interest and price. Perceptions have a positive and significant effect on buying interest, and purchase intentions have a positive and significant effect on purchasing decisions; buying interest can mediate the effect of product quality on purchasing decisions, and buying interest mediates the effect of price perceptions on purchasing decisions. Managerial implications of the relationship between product quality, price perception, purchasing decisions, and the mediating role of purchase intention. In today's competitive market, understanding the factors that influence consumers' purchasing decisions is crucial for businesses to devise effective marketing strategies.

Role of individual entrepreneurial orientation and innovation in SME performance: Gender perspectives

Individual entrepreneurial orientation and innovation are essentials for small and medium enterprises (SMEs) to drive their performance, including surviving or even growing during economic crises. The entrepreneur’s gender might have an impact on those relationships. Hence, this study aims to analyze whether there were some differences in the five dimensions of individual entrepreneurial orientation and differences in the influence of individual entrepreneurial orientation and innovation on performance between male and female entrepreneurs. The study was performed through an online survey of 352 SME owners in Indonesia. Structural equation modeling (SEM) and multi-group analysis were conducted to test the hypotheses. The results demonstrated that all dimensions of individual entrepreneurial orientation are valid for developing this construct, but only the risk-taking dimension distinguishes male and female entrepreneurs the most. Male entrepreneurs are more willing to take risks than female. Furthermore, individual entrepreneurial orientation affects performance mediated by innovation, and this effect is not different between male and female entrepreneurs. These findings enrich the literature on the impact of gender on entrepreneurial orientation and the influence of innovation on SME performance. In Indonesia, individual entrepreneurial orientation affects performance assisted by innovation; however, this influence is not different for SMEs managed by male and female entrepreneurs. AcknowledgmentWe acknowledge and thank all of the respondents and parties who supported this research. This study was funded by the Directorate of Research and Community Engagement, Universitas Indonesia, contract number NKB-1782/UN2.RST/HKP.05.00/2020.

Risk and resilience in eating disorders: differentiating pathways among psychosocial predictors

ObjectiveEating disorders (EDs) represent a rising global health concern. The current study takes a multivariate approach to examine psychological (i.e., perfectionism, anxiety sensitivity [AS], emotion dysregulation) and sociocultural factors (i.e., body dissatisfaction) that may relate to risk and resilience in EDs.MethodsParticipants were 698 undergraduate students (Mage = 21, SDage = 4.02), mainly female (71%) and Hispanic (61.6%), who participated in an online survey assessing perfectionism, emotion dysregulation, AS, body dissatisfaction, and eating behaviors.ResultsThe results from structural equation model analyses revealed differential associations with disordered eating (DE) outcomes. Self-oriented perfectionism and dysmorphic appearance concerns were associated with increased dieting/carb restriction, desire for thinness, and binging tendencies. Specifically, emotional nonacceptance and lack of emotional awareness showed associations with elevated risk for dieting/carb restriction and purging tendencies, respectively. Conversely, lack of emotional clarity showed a protective pathway to these risk behaviors. Anxiety sensitivity cognitive concerns related to higher purging tendencies, while AS social concerns related to lower purging and binging tendencies.DiscussionFindings highlight the differential pathways of psychosocial risk and resilience for EDs. Subscales of emotional dysregulation and AS showed risk as well as resilience associations with DE outcomes. This information is key for advancing transdiagnostic prevention and intervention to reduce the rising rates of EDs.