Analysis Of Survey Data Research Articles

Predictors of Up-To-Date Lung Cancer Screening Among Eligible People in the United States: A Nationally Representative Dataset.

Predictors of Up-To-Date Lung Cancer Screening Among Eligible People in the United States: A Nationally Representative Dataset.

Assessing factors associated with nurses leaving the profession: A secondary analysis of cross-sectional data.

Assessing factors associated with nurses leaving the profession: A secondary analysis of cross-sectional data.

Statistical analyses of sunscreen usage survey data for the purpose of factor refinement influencing UV filter exposure in aquatic systems

Statistical analyses of sunscreen usage survey data for the purpose of factor refinement influencing UV filter exposure in aquatic systems

Temporal trends in HIV prevention service access and use among female sex workers (FSW) in Mozambique: a comparative analysis 2011–2019

BackgroundFemale sex workers (FSWs) remain disproportionately affected by HIV due to a combination of structural, social, and behavioral factors, including stigma, limited access to health services, gender-based violence, and legal barriers. In Mozambique, where sex work is informal and highly marginalized, monitoring trends in service uptake is essential to guide responsive and equitable HIV interventions. This study analyzes changes in access to and use of HIV prevention services among FSWs between 2011 and 2019.MethodsWe conducted a secondary analysis of cross-sectional bio-behavioral survey (BBS) data collected among FSWs in 2011 and 2019 in three Mozambican urban centers. Standardized questionnaires were used to collect behavioral and biological data, including indicators of HIV prevention service access. Participants were recruited using Respondent-Driven Sampling (RDS). Logistic regression was applied to assess time trends and identify factors associated with service uptake.ResultsA total of 1,240 FSWs participants were recruited in 2011 and 1,530 in 2019. Between 2011 and 2019, there was a significant increase in HIV prevalence (from 11.9 to 24.5%). The proportion of participants accessing HIV prevention services more than doubled (from 21.4 to 52.3%), alongside marked improvements in HIV testing uptake (68.0–83.1%) and consistent condom use with clients (74.1–86.3%). Multivariate analysis showed that age ≥ 25, moderate HIV risk perception, and experiences of sexual violence were positively associated with access to prevention services in 2019. In contrast, alcohol use and physical assault were negatively associated with service use. Determinants of access shifted over time; for example, while secondary education was positively associated with service access in 2011, it was negatively associated in 2019.ConclusionThere has been substantial progress in access to and use of HIV prevention services among FSWs in Mozambique over the past decade. Nonetheless, the rising HIV prevalence and persistent disparities related to age, education, economic vulnerability, and exposure to violence signal the need for more comprehensive, context-specific, and equity-focused strategies. Reinforcing peer-led outreach, integrating gender-based violence response, and addressing risk misperception are critical to strengthening Mozambique’s HIV prevention continuum for this key population.

Multilevel modelling of determinants of perinatal mortality in East Africa: a pooled analysis of National health survey data

BackgroundPerinatal mortality, which includes stillbirths and early neonatal deaths, is a critical indicator of maternal and newborn health, especially in developing countries. It highlights the effectiveness of healthcare systems and socioeconomic inequalities. Despite global efforts, such as the Sustainable Development Goals (SDGs), to reduce perinatal mortality, developing countries continue to experience high rates due to factors like inadequate access to quality healthcare, maternal health issues, and socioeconomic disparities. Since, there is limited evidence in the region, this study investigates perinatal mortality in East Africa, using data from Demographic and Health Surveys (DHS) to identify key determinants and inform policy interventions aimed at improving health outcomes.MethodsThis study utilized data from the DHS conducted in East Africa. A weighted sample of 101,728 children was included in the analysis using R-4.4.0 software. Descriptive data, including frequencies and texts, were performed. A multilevel modeling analysis was employed to analyze perinatal mortality, considering both individual-level factors and contextual factors. The multilevel model accounts for clustering within countries and allows for the examination of both fixed and random effects that influence perinatal mortality. For the multivariable analysis, variables with a p-value ≤ 0.2 in the univariate analysis were considered. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) and a p-value < 0.05 was reported to indicate statistical significance and degree of association in the final model.ResultsThe overall pooled effect size of perinatal mortality is 3.67 (2.92, 4.59), with Tanzania having the highest rate and Comoros having the lowest rate. Women aged 25–34 years (AOR = 0.86, 95% CI: 0.81, 0.95), 35–49 years (AOR = 0.89, 95% CI: 0.79, 0.97), and 35–49 years (AOR = 0.89, 95% CI: 0.79, 0.97) compared to women aged 15–24 years, gave birth the first before the age of 20 (AOR = 1.09, 95% CI: 1.03, 1.28), have secondary or higher education (AOR = 0.76, 95% CI: 0.69, 0.81), not being married (AOR = 1.11, 95% CI: 1.05, 1.21), poorer (AOR = 0.94, 95% CI: 0.89, 0.98), and richest women (AOR = 0.95, 95% CI: 0.91, 0.97) compared to the poorest women, mass media exposure (AOR = 1.09, 95% CI: 1.03, 1.15), women with 3–5 children (AOR = 1.16, 95% CI: 1.08, 1.21), and with more than 5 children had even greater odds (AOR = 1.36, 95% CI: 1.29, 1.44), twin births (AOR = 3.62, 95% CI: 3.41, 3.79), modern contraceptive (AOR = 0.82, 95% CI: 0.81, 0.91), had history of abortion (AOR = 8.53, 95% CI: 8.29, 8.79), birth interval of 24–36 (AOR = 0.68, 95% CI: 0.65, 0.73), and 37–59 months (AOR = 0.61, 95% CI: 0.55, 0.67) compared to intervals of < 24 months respectively, having health insurance (AOR = 0.87, 95% CI: 0.82, 0.92), rural residence (AOR = 1.05, 95% CI: 1.02, 1.18), residing in low-income (AOR = 1.33, 95% CI: 1.28, 1.49), and higher literacy rates (AOR = 0.81, 95% CI: 0.79, 0.89) were statistically associated with perinatal mortality respectively.ConclusionsThe study reveals several significant factors associated with perinatal mortality in East Africa. Factors such as women who gave birth before the age of 20, not married, mass media exposure, having more children, twin births, history of abortion, residing in rural areas, and in low-income countries were linked to higher odds of perinatal mortality, however, being older age, better education, better wealth, modern contraception, longer birth intervals, have health insurance, and high literacy rate countries were linked to lower odds of perinatal mortality. To reduce perinatal mortality in East Africa, targeted interventions should focus on improving educational attainment for women, enhancing access to health insurance, and promoting the use of modern contraceptive methods. Additionally, policies aimed at supporting unmarried mothers, managing multiple births, and addressing rural healthcare disparities are essential.

Do COVID-19 responses associate with prior hazard experiences? An investigation among flood-vulnerable subsidized housing residents with digital vulnerability.

In light of the threat posed by the COVID-19 pandemic and the accompanying public health risks, understanding the mechanisms through which individuals discern accurate information about COVID-19 and adopt appropriate preventive behaviors has become an important research subject. However, few studies have directly examined the associations between the digital divide, previous experience of non-pandemic disasters, and preventive behaviors in response to COVID-19. This study focuses on two elements that may affect individuals' responses to COVID-19: (1) digital capabilities and (2) prior experience of and preparedness for flood risk. This study analyzed survey data collected from 200 households residing in flood-vulnerable subsidized housing in Florida, USA. The findings demonstrate that proficiency in Internet search skills is strongly and positively associated with information-seeking and preventive behaviors against COVID-19, while social media usage skills did not produce the same association. Moreover, the variables that indicate experience with and risk mitigation for flood hazards are significantly associated with the diversity of channels used to search for COVID-19 risk information, information-seeking behaviors, and preventive actions. These results suggest that improving preparedness for non-pandemic events may also enable individuals to be better prepared for future pandemics. The findings provide several action-oriented policy implications for reducing the multiple forms of vulnerability to which residents of subsidized housing are exposed.

Empowering the Workforce: Evaluating AI-Driven Employee Self-Service Portals in the Digital HR Era

ABSTRACT: This study investigates how Artificial Intelligence (AI) is transforming Employee Self-Service (ESS) portals and their impact on empowering employees in today’s digital HR environment. The main aim is to evaluate how AI features such as automation, chatbots, and smart assistance help employees manage HR tasks independently, leading to greater efficiency, satisfaction, and engagement. A mixed-method approach was adopted, combining quantitative data from 150 employee questionnaires and qualitative insights from interviews with HR professionals. Descriptive statistics (mean and standard deviation) and inferential methods (correlation and regression analysis) were used to analyze survey data using SPSS. Thematic analysis was applied to qualitative data to identify patterns and employee perceptions. Findings reveal that AI-driven ESS portals significantly improve service speed, employee autonomy, and overall satisfaction. There is a strong positive relationship between the usability of AI tools and employee empowerment. However, challenges such as data privacy concerns, limited training, and occasional technical issues were also reported. A small percentage of employees prefer traditional human interaction for certain HR processes. The study concludes that AI-powered ESS portals are effective tools for improving employee empowerment and HR service delivery. To maximize impact, organizations must focus on user-friendly design, continuous training, and ethical data handling to ensure trust and inclusive benefits for all users. Keywords: Artificial Intelligence, Employee Self-Service, Digital HR, Employee Empowerment, HR Technology, Automation, Chatbots.

Green Human Resource Management, Green Organisational Citizenship Behaviour and Organisational Sustainability in the Post‐Pandemic Era: An Ability Motivation Opportunity and Resource Based View Perspective

ABSTRACTThe purpose of the current study is to evaluate how the COVID‐19 pandemic increased the usefulness of Green Human Resource Management (GHRM) practices toward achieving organisational sustainability with the moderating effect of non‐governmental organisations and labour unions, drawing on the integrated approach using AMO (Ability‐Motivation‐Opportunity) theory and RBV (Resource‐Based View). The data was collected from 371 (depicted using G* power software) managers of manufacturing units in India's Jammu and Kashmir. Partial Least Squares Structural Equation Modelling (PLS‐SEM) analysis of survey data revealed that the post‐COVID‐19 era has accelerated the adoption of green HRM practices within an organisation. Additionally, these eco‐friendly HRM techniques are closely related to establishing organisational sustainability in the post‐COVID‐19 era. Further, the findings suggest a significant moderating role of NGOs in shaping and encouraging voluntary pro‐environmental behaviours among employees and intend to guide industrial organisations seeking to enhance their environmental performance.

Increasing the Voltage—Sequencing Decarbonisation with Green Power and Efficiency

The industrial sector’s increasing electricity demand (direct and indirect), driven by the electrification of processes and the production of green hydrogen, poses significant challenges for achieving decarbonisation goals. While switching to renewable electricity and offsetting emissions appears straightforward, the gap between current generation capacities and projected demand remains substantial. This article analyses survey data from the Energy Efficiency Index of German Industry (EEI), revealing that manufacturing companies aim to reduce 22.1% of their 2019 emissions by 2025 and 27.3% by 2030, primarily through on-site measures. However, given the slow pace of renewable capacity expansion and the increasing electrification across sectors, it becomes evident that the envisaged green electricity share of 80% by 2030 will require far more capacity than currently planned. To address this challenge, the article introduces a decarbonisability factor to better assess on-site versus off-site measures, highlighting the need for a strategic sequencing of efficiency and renewable generation. To support decision-makers, the article calls for improved data collection and periodic reassessment to account for changing geopolitical and economic conditions.

Navigating the complexities of AI-driven literary translation: Challenges and perspectives across diverse user groups

Literary translation is an intricate process that demands linguistic skill, cultural awareness, creativity, and a comprehension of human expression. Although artificial intelligence (AI) has made significant strides in machine translation, especially concerning technical texts, its use in literary translation continues to face numerous obstacles. This paper examines the limitations of AI in conveying literary nuances such as metaphor, tone, cultural context, and stylistic features. Employing a mixed-methods approach that includes a literature review, case studies, interviews with Saudi Electronic University students (levels 7 &amp; 8, English and Translation Department) and University of Gafsa students (Arabic Language Department, Tunisia), and SPSS analysis of survey data, this study emphasizes the discrepancies between human and machine translation within the literary field. The findings indicate that while AI can aid in activities such as generating initial drafts and conducting terminology research, it encounters difficulties with cultural subtleties, emotional richness, and stylistic accuracy. The paper concludes that AI is unlikely to supplant human translators in the near future and suggests its application as an auxiliary tool, highlighting the indispensable function of human creativity and intuition.

Latent Profiles of Nurses' Insomnia, Fatigue, Recovery, Psychological Distress and Burnout During the COVID-19 Pandemic: Examining the Role of Organisational Support.

To identify latent profiles of insomnia, fatigue, recovery, psychological distress and burnout among hospital nurses; examine variations in personal and work-related characteristics across profiles; investigate associations between profiles and outcomes such as patient care quality, nursing work satisfaction and workplace satisfaction; and assess the moderating role of organisational support on these relationships. A cross-sectional descriptive study. This study analysed survey data from 2488 hospital nurses using latent profile analysis, multinomial logistic regression and hierarchical multiple linear regression. Four well-being profiles emerged: low, average, above-average and high well-being. Profiles differed significantly in personal and work-related characteristics. Nurses in the high well-being profile were associated with better patient safety, care quality and satisfaction. Organisational support moderated the negative associations between low well-being profiles and nursing work and workplace satisfaction. Tailored interventions addressing factors associated with low well-being and enhancing organisational support may be beneficial for improving nurse well-being, delivering high-quality care and supporting nurse retention in sustainable healthcare environments. Healthcare organisations should prioritise nurse well-being through targeted interventions, adequate staffing, recovery opportunities and stress management resources to support a resilient and sustainable workforce. The findings revealed the diversity of well-being patterns among hospital nurses and provided insights for identifying subgroups at higher risk of impaired patient safety, reduced care quality and dissatisfaction with nursing work and the workplace. Greater organisational support was associated with weaker negative relationships between poor well-being and nurse outcomes. STROBE guidelines. No direct patient or public contribution.

How does leadership AI awareness shape employee voice behavior? based on the framework of hindrance and challenge stressors.

BackgroundThe rapid advancement of Artificial Intelligence (AI) is driving transformative changes across various sectors, reshaping organizational management models and altering work dynamics for employees.ObjectiveThis study employs the framework of hindrance and challenge stressors to examine the impact of leadership AI awareness on employees' voice behavior (VB).MethodsWe analyzed survey data from 487 employees in knowledge-intensive industries across China.ResultsLeadership AI awareness, under hindering stressors, positively correlates with employees' job insecurity (JI), which inversely affects their VB; JI acts as a mediator. Conversely, under challenging stressors, leadership AI awareness enhances employees' intrinsic motivation, which positively correlates with VB. Intrinsic motivation also mediates this relationship. Additionally, AI self-efficacy moderates the influence of leadership AI awareness on employees' VB.ConclusionsThis study elucidates a dual-path mechanism through which leadership AI awareness affects employees' VB and delineates the boundary conditions for this influence. The findings offer managerial insights for stimulating employees' VB amidst AI integration in the workplace.

0805 The Clinical and Humanistic Burden of Narcolepsy: Matched Analysis of US National Health and Wellness Survey Data

Abstract Introduction Narcolepsy is a chronic neurological disorder that causes debilitating daytime sleepiness among other symptoms. This study compared clinical and humanistic outcomes between those with and without narcolepsy to characterize the extent of disease burden. Methods This study was a retrospective, cross-sectional analysis of 2021/2023 US National Health and Wellness Survey data. The narcolepsy cohort included those who reported a physician diagnosis of narcolepsy. Propensity-score matching (1:3) adjusted for demographic/health characteristics between those with and without narcolepsy (controls). Chi-square tests and t-tests compared comorbidities, symptoms of depression and anxiety, and health-related quality of life (HRQoL) between groups. Results Before matching, respondents with narcolepsy (n=335; female=56%; mean age, 45.5 years; White=68%) and without narcolepsy (n=141,072; female=55%; mean age, 47.8 years; White=72%) were included. Additionally, the narcolepsy cohort had higher mean [SD] body mass index (30.1 [8.4] vs 27.6 [7.1], p&amp;lt;.001) and were more likely to have obesity (44% vs 28%, p&amp;lt;.001) and be current smokers (25% vs 17%, p&amp;lt;.001) than those without narcolepsy. After matching, the narcolepsy cohort reported more frequent physician-diagnosed psychiatric comorbidities vs controls, including depression (58% vs 32%, p&amp;lt;.001), anxiety (54% vs 33%, p&amp;lt;.001), and ADHD (20% vs 6%, p&amp;lt;.001). The narcolepsy cohort had higher reporting of moderate-to-severe depression symptoms via Patient Health Questionnaire-9 (52% vs 33%, p&amp;lt;.001) and moderate-to-severe anxiety via Generalized Anxiety Disorder Questionnaire-7 (41% vs 26%, p&amp;lt;.001). On the Brief Resilience Scale, more respondents with narcolepsy reported low resiliency scale score vs controls (43% vs 28%, p&amp;lt;.001). Compared with controls, the narcolepsy cohort scored lower on HRQoL measures, including mean [SD] mental health composite (32.8 [11.3] vs 40.6 [12.6], p&amp;lt;.001) and physical health composite (35.7 [11.4] vs 42.9 [11.6], p&amp;lt;.001) scores of the RAND 36-Item Health Survey. The narcolepsy cohort reported greater impairment of daily activities vs controls (51% vs 34%, p&amp;lt;.001). Conclusion Narcolepsy is associated with broad clinical and humanistic burden. Those with narcolepsy had more frequent psychiatric comorbidities, more severe depression and anxiety symptoms, less self-reported resiliency, and lower HRQoL. Future strategies should focus on comprehensive management that prioritizes mental health, while investigating new treatments that may improve HRQoL for narcolepsy patients. Support (if any) Alkermes, Inc.

Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data

BackgroundA major cause of deaths among children under five is neonatal mortality, a worldwide problem. However, the problem in sub-Saharan Africa is not well documented. Understanding the prevalence of neonatal death and its related causes is crucial for creating efforts and policies that could help address the problem. This study set out to determine the prevalence of neonatal death and its determinants in sub-Saharan Africa.MethodsUsing secondary data analysis of demographic and health surveys conducted between 2014 and 2024 in sub-Saharan Africa. Total weighted samples of 133,448 live births in all during the period in 31 Sub- Saharan Africa. The determinants of neonatal mortality were identified using a multilevel mixed-effects logistic regression model. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient, Median Odds Ratio, Proportional Change in Variance was used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the Bivariable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio with 95% CI was reported to declare statistically significant determinants of neonatal mortality.ResultsThe neonatal mortality in sub-Saharan Africa was 32 per 1000 live births (95% CI: 30, 34). maternal occupation (AOR = 1.26, 95% CI: 1.16, 1.37), home delivery (AOR = 1.29; 95% CI: 1.21, 1.39), caesarean section (AOR = 1.58; 95%CI: 1.36, 1.83), twin births(AOR = 2.48, 95% CI: 2.05, 2.54), birth order of 2–4 (AOR = 1.30, 95% CI: 1.18, 1.44), birth order of ≥ 5 (AOR = 1.43, 95% CI: 1.31, 1.59) and smaller size than average (AOR = 1.49, 95% CI: 1.36, 1.63)were significantly associated with higher odds of neonatal mortality.ConclusionAccording to this study, in sub-Saharan Africa neonatal mortality rate was high. The following factors should be taken into account while developing policies and measures to reduce newborn mortality in sub-Saharan Africa: the mother’s education, wealth index, occupation, place of delivery, mode of delivery, twin birth, neonatal sex, birth order, and size at birth.

Explaining patterns of co-creation in Swiss local governance

ABSTRACT While research on local co-creation and co-production has grown exponentially, only a few studies have investigated the geographical distribution of this instrument and the factors that account for cross-municipal differences. An analysis of survey data gathered from 1,771 municipal clerks (senior civil servants) in Switzerland shows that co-creation is practised more in larger and German-speaking municipalities and municipalities where public interest in local affairs is greater. This study contributes to a better understanding of the factors increasing co-creation and to how local governments can better use citizens’ assets and resources.

Generational Perspective of Financial Literacy and Consumer Over-Indebtedness. Survey Evidence from Poland

Background and purpose of the article: The main aim of the article is to present financial literacy (FL) and consumer over-indebtedness (OI) according to the primary survey in Poland. The auxiliary aim is to analyse the importance of financial literacy in reducing consumer over-indebtedness from a generational perspective. Over-indebtedness is a significant problem in personal finance because it leads to a situation in which household members cannot settle their financial obligations on time, negatively affecting their economic stability and prospects for long-term financial security (D’Alessio, Iezzi, 2013). It is becoming increasingly common in the country and around the world. It has a negative impact on consumers and the economy. Methods: The author conducted primary research using a survey questionnaire. The survey was conducted in Poland in 2022 on 1051 consumers. The analysis of survey data was conducted using the PLS-SEM method. Results and added value: The research results indicate that financial literacy as an independent factor alone does not play a significant role in reducing consumer over-indebtedness, but that analyses in combination with other variables shows that analysis is more effective when financial literacy is not isolated. The most sensitive group in the financial literacy and over-indebtedness study is Generation Z (GenZ), which has the lowest level of financial literacy while at the same time has the lowest financial reserves and savings, thus constituting the most exposed group to the risk of over-indebtedness. The added value could be the author’s proposition of the Financial Literacy Index (WF1), which is compared to the worldwide Financial Literacy Big Five Index (BIG 5), introduced by Lusardi (Stanford University) and Michell (Wharton University) (Lusardi, Michell, 2014).

Understanding Gender Dynamics on the Intentions of Small-Scale Traders to Trade in Edible Insects in Kenya

Grounded in their status as a delicacy in East Africa, the trade of edible insects is increasingly acknowledged as a viable solution to food security and sustainable livelihoods. However, gender differences in trading intentions remain underexplored, particularly in informal and emerging markets. Existing research emphasizes economic and structural barriers but often overlooks the psychological and social determinants. This study addresses this gap by examining gender-specific factors influencing the intention to engage in edible insect trade, integrating demographic, socio-economic, and psychological perspectives. Using structural equation modeling (SEM), multiple regression, and an ordered probit model, we analyzed survey data from 550 traders across key food markets in Kenya, the analysis distinguished how gender moderates the effects of participation intentions. Results revealed that psychological determinants exerted a more significant influence than socio-economic variables on trading intentions. For females, perceived behavioral control (&amp;beta; = 0.775, p &amp;lt; 0.001) and descriptive norms (&amp;beta; = 0.536, p &amp;lt; 0.001) were the strongest predictors, underscoring the importance of self-efficacy and social influence. Conversely, for male traders, attitude (&amp;beta; = 0.331, p &amp;lt; 0.001) and descriptive norms (&amp;beta; = 0.580, p &amp;lt; 0.001) emerged as dominant factors, suggesting a more individualistic decision-making process. These findings highlight the necessity to enhance women&amp;rsquo;s self-efficacy through training, financing, and market access while leveraging attitudinal and social reinforcement strategies to encourage male participation. The study contributes to the behavioral economics literature on emerging markets and offers practical insights for policymakers, development agencies, and entrepreneurs seeking to promote sustainable insect-based trade.

Mediating Effect of Energy Management on SME Development amid the Power Crisis in Sri Lanka: Lessons and Public Policy Insights

This study investigates the multifaceted impact of power crises on the development of Small and Medium Enterprises (SMEs) in Sri Lanka, focusing on the period from March 2022 to February 2023 and examines how power shortages and load shedding affect SME productivity, employment, competitiveness, sustainability, and growth, by exploring the role of energy management in mitigating these adverse effects. Using quantitative methods, the study analyzes survey data of 143 SMEs selected through convenience sampling in the Western Province of Sri Lanka. The findings highlight the significant negative impact of power crises, revealing reduced productivity, diminished employment opportunities, decreased competitiveness, and obstacles to business sustainability and growth. Notably, the study demonstrates the positive effect of energy-efficient practices in mitigating the impact caused by power crises. The study provides further evidence that the negative influence of power-related issues is consistent across different SME sizes and industries. These insights have important policy implications, suggesting the need for collaboration between the government and the private sector to address SME challenges. The study underlines the importance of investing in power infrastructure, promoting economic diversification, and encouraging sustainable business practices. Furthermore, long-term planning, financial literacy initiatives, and targeted support to ensure the resilience and development of SMEs in the face of power crises are suggestive. Keywords: Energy Crisis, Energy Management, Public Policy Insights, SME Development, Sri Lanka

When Cultural Resources Amplify Psychological Strain: Off-Work Music Listening, Homophily, and the Homesickness-Burnout Link Among Migrant Workers.

Hundreds of millions of migrants experience frequent homesickness that affects their psychological wellbeing. This study integrates the job-demands-resources model and temporal comparison theory to examine how music listening and similar activities involving coworker homophily and roommate homophily influence the relationship between homesickness and burnout. Our analysis of survey data from 2493 migrant workers reveals that off-work music listening strengthens the positive relationship between homesickness and burnout. Furthermore, coworker homophily and roommate homophily enhance the strength of the interaction between off-work music listening and homesickness as a predictor of burnout. Our findings demonstrate how seemingly supportive job resources can transform into psychological demands and thus have important theoretical and managerial implications.

Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation

The deployment of generative artificial intelligence (GAI) has attracted substantial research attention, yet its impact on employee innovation remains debated. Based on Technology-Task Fit (TTF) theory, this study investigates how trust in GAI affects employees’ exploitative and exploratory innovation. Analysis of survey data from 302 Chinese employees reveals that trust in GAI is positively related to exploitative innovation, while demonstrating an inverted U-shaped relationship with both exploratory innovation and the complementarity of these two innovation types. Furthermore, employee-GAI fit amplifies the positive effect of trust in GAI on exploitative innovation and moderates the inverted U-shaped relationship with exploratory innovation by shifting the turning point to the right. Employee-innovation task fit weakens the inverted U-shaped relationship between trust in GAI and exploratory innovation. These findings advance original theoretical insights into the relationship between trust in GAI and ambidextrous innovation and offer actionable guidance for innovation management practitioners.