Analysis Of Survey Data Research Articles

The impact of work gamification on Chinese employee creativity: a moderated mediation model.

As economic and social development continues, the values and behavioral patterns within society are undergoing profound transformations, posing significant challenges to traditional enterprise management models. To enhance employee engagement and improve workplace efficiency, gamification design has increasingly gained attention in both theoretical discourse and practical enterprise management. This study aims to elucidate the mechanisms by which workplace gamification influences employee creativity, addressing urgent managerial challenges arising from the normalization of remote work and the increasing prevalence of Generation Z employees. Based on flow theory, this study analyzed survey data collected from 217 Chinese enterprise employees (84 males, 133 females; 83.87% aged 18-42) from January to February 2024. Intrinsic motivation was employed as the mediating variable, and employee acceptance of work gamification served as the moderating variable. The findings reveal that work gamification significantly enhances employee creativity, with intrinsic motivation serving a pivotal mediating role. Furthermore, employee acceptance of work gamification moderates the relationship between gamification and intrinsic motivation; specifically, a higher level of acceptance strengthens the positive impact of gamification on intrinsic motivation. Additionally, acceptance level further moderates the mediating effect of intrinsic motivation on the relationship between work gamification and creativity. When employee acceptance is high, the indirect effect of gamification on creativity through intrinsic motivation is more pronounced. The study offers substantial theoretical and practical contributions. Its findings enrich theoretical understanding regarding workplace gamification mechanisms (e.g., points, task challenges, virtual rewards) and boundary conditions, while also providing practical insights for enterprises aiming to effectively utilize gamification strategies to stimulate employee creativity.

Exploring the Role of Grammar Instruction in English Language Teaching: Evolving Approaches and Emerging Trends in Modern Instruction

This paper explores the evolving role of grammar instruction in English Language Teaching (ELT), examining contemporary trends and methodologies that influence its integration into language classrooms. Focusing on student preferences, the study investigates the effectiveness of both traditional grammar teaching methods and the incorporation of modern, technology-enhanced approaches. Through an analysis of survey data from students across various ELT contexts, the research highlights the continued importance of explicit grammar instruction, while also recognizing the growing appeal of hybrid approaches that combine explicit and implicit learning. The findings emphasize the increasing use of digital tools for grammar practice, showing how technology can support autonomous learning and provide personalized feedback. The paper argues for a balanced approach to grammar teaching, combining structured, rule-based instruction with communicative tasks and technological resources. It concludes with recommendations for future research and teaching practices, emphasizing the need for adaptable, student-centered methodologies in grammar instruction to address the diverse needs of modern learners.

Islamophobia in Western Europe is unrelated to religiosity but highly correlated with far right attitudes

The far right’s relationship with religion has become a major focus of current research. Even in Western Europe, one of the most rapidly secularising areas of the world, far right actors claim to defend Christian values against the alleged threat of Islam and Muslim immigrants, a rhetorical strategy known as ‘Christianism’. Yet, little is known about how religiosity, Islamophobia, and populist far-right ideology are connected at the level of mass belief systems in Western Europe. Most of the literature is focused either on religiosity’s effect on voting or on the connection between religiosity and ethnic prejudice, without considering religiosity’s relationships with the wider spectrum of far-right ideology. The present article fills this gap by analysing survey data from Britain, France, Germany, and the Netherlands. It uses SEM to uncover the relationships between Christian religiosity on the one hand and Islamophobia and far-right attitudes on the other. The results are broadly similar across different contexts: religiosity is mostly unrelated to Islamophobia, nativism, right-wing authoritarianism, and populism. Conversely, Islamophobia overlaps considerably with both nativism and authoritarianism: people who perceive immigration as a threat and favour strict laws and harsh enforcement also tend to reject Islam, but not for religious reasons. This pattern is compatible with the strategy of Christianism, which is largely devoid of religiosity, yet facilitates the “othering” of Muslims as a cultural out-group. It also helps to explain why there is no genuine, electorally relevant religious far right in Western Europe.

Cultured meat: Identifying trust profiles of German consumers using latent profile analysis.

Cultured meat: Identifying trust profiles of German consumers using latent profile analysis.

Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000-2019).

Ethiopia, the second most populous country in Africa, faces significant demographic transitions, with fertility rates playing a central role in shaping economic and healthcare policies. Family planning programmes face challenges due to funding limitations. The recent suspension of the US Agency for International Development funding exacerbates these issues, highlighting the need for accurate birth forecasting to guide policy and resource allocation. This study applied time-series and advanced machine-learning models to forecast future birth trends in Ethiopia. Secondary data from the Ethiopian Demographic and Health Survey from 2000 to 2019 were used. After data preprocessing steps, including data conversion, filtering, aggregation and transformation, stationarity was checked using the Augmented Dickey-Fuller (ADF) test. Time-series decomposition was then performed, followed by time-series splitting. Seven forecasting models, including Autoregressive Integrated Moving Average, Prophet, Generalised Linear Models with Elastic Net Regularisation (GLMNET), Random Forest and Prophet-XGBoost, were built and compared. The models' performance was evaluated using key metrics such as root mean square error (RMSE), mean absolute error (MAE) and R-squared value. GLMNET emerged as the best model, explaining 77% of the variance with an RMSE of 119.01. Prophet-XGBoost performed reasonably well but struggled to capture the full complexity of the data, with a lower R-squared value of 0.32 and an RMSE of 146.87. Forecasts were made for both average monthly births and average births per woman over a 10-year horizon (2025-2034). The forecast for average monthly births indicated a gradual decline over the projection period. Meanwhile, the average births per woman showed an increasing trend but fluctuated over time, influenced by demographic shifts such as changes in fertility preferences, age structure and migration patterns. This study demonstrates the effectiveness of combining time-series models and machine learning, with GLMNET and Prophet XGBoost emerging as the most effective. While average monthly births are expected to decline due to demographic transitions and migration, the average births per woman will remain high, reflecting persistent fertility preferences within certain subpopulations. These findings underscore the need for policies addressing both population trends and sociocultural factors.

PCR242 The Economic Burden of Narcolepsy in the United States: Matched Analysis of National Health and Wellness Survey Data

PCR242 The Economic Burden of Narcolepsy in the United States: Matched Analysis of National Health and Wellness Survey Data

Investigating the long-term public health and co-benefit impacts of an urban greenway intervention in the UK: a natural experiment evaluation - study protocol.

Urban green and blue space (UGBS) interventions, such as the development of an urban greenway, have the potential to provide public health benefits and multiple co-benefits in the realms of the environment, economy and society. This paper presents the protocol for a 5-year follow-up evaluation of the public health benefits and co-benefits of an urban greenway in Belfast, UK. The natural experiment evaluation uses a range of systems-oriented and mixed-method approaches. First, using group model building methods, we codeveloped a causal loop diagram with stakeholders to inform the evaluation framework. We will use other systems methods including viable systems modelling and soft systems methodology to understand the context of the system (ie, the intervention) and the stakeholders involved in the development, implementation and maintenance phases. The effectiveness evaluation includes a repeat cross-sectional household survey with a random sample of 1200 local residents (adults aged ≥16 years old) who live within 1 mile of the greenway. The survey is complemented with administrative data from the National Health Service. For the household survey, outcomes include physical activity, mental well-being, quality of life, social capital, perceptions of environment and biodiversity. From the administrative data, outcomes include prescription medications for a range of non-communicable diseases such as cardiovascular disease, type II diabetes mellitus, chronic respiratory and mental health conditions. We also investigate changes in infectious disease rates, including COVID-19, and maternal and child health outcomes such as birth weight and gestational diabetes. A range of economic evaluation methods, including a cost-effectiveness analysis and social return on investment (SROI), will be employed. Findings from the household survey and administrative data analysis will be further explored in focus groups with a subsample of those who complete the household survey and the local community to explore possible mechanistic pathways and other impacts beyond those measured. Process evaluation methods include intercept surveys and direct observation of the number and type of greenway visitors using the Systems for Observing Play and Recreation in Communities tool. Finally, we will use methods such as weight of evidence, simulation and group model building, each embedding participatory engagement with stakeholders to help us interpret, triangulate and synthesise the findings. To our knowledge, this is one of the first natural experiments with a 5-year follow-up evaluation of an UGBS intervention. The findings will help inform future policy and practice on UGBS interventions intended to bring a range of public health benefits and co-benefits. Ethics approval was obtained from the Medicine, Health and Life Sciences Research Ethics Committee prior to the commencement of the study. All participants in the household survey and focus group workshops will provide written informed consent before taking part in the study. Findings will be reported to (1) participants and stakeholders; (2) funding bodies supporting the research; (3) local, regional and national governments to inform policy; (4) presented at local, national and international conferences and (5) disseminated by peer-review publications.

‘Digitalisation + leadership’ = ? High innovation output? A mediating model based on environment

ABSTRACT Digital leadership (DL), as a crucial element of dynamic capabilities, exerts a significant influence on innovation performance (OIP). This study conducts an empirical analysis of survey data collected from 332 organisations in China to investigate the mechanisms by which digital leadership impacts innovation performance. The findings reveal that business model innovation (BMI) serves as a mediating factor between digital leadership and innovation performance, thereby providing theoretical support for the dynamic capabilities view (DCV). Furthermore, the study incorporates environmental dynamism (EnD) as a situational variable within the model, elucidating the boundaries of digital leadership's effectiveness. The results indicate that, irrespective of whether environmental dynamism is classified as high or low, it adversely affects the indirect relationship between digital leadership and innovation performance through business model innovation. This research offers practical implications for organisations seeking to enhance their innovation performance, underscoring the significance of digital leadership and business model innovation in the rapidly evolving digital economy. Additionally, it highlights the potential limitations that may emerge in highly dynamic environments concerning the facilitation of innovation performance through business model innovation in management practices.

The Complexity of Contemporary Citizenship: A Typology of Citizenship Orientations Among Norwegian Digital Natives

Democratic citizenship is continuously evolving, shaped by changing political, social, and media contexts. Digital natives—those who have come of age in environments where digital technologies are embedded in everyday life—have experienced citizenship in markedly different ways than previous generations. While the internet has broadened the repertoire of participatory behaviors, existing research has struggled to capture the complexity of contemporary citizenship. Drawing on deliberative systems theory and a triadic framework of citizenship—examining normative expectations, behaviors, and attitudes—this study develops a nuanced exploration of citizenship orientations. Using an innovative questionnaire and latent profile analysis of survey data from Norwegian digital natives (aged 18–40), we identify seven distinct citizenship types that reveal the multidimensional nature of contemporary citizenship. Our research moves beyond binary distinctions between active and passive citizenship, emphasizing the importance of both expressive and receptive behaviors across online and offline contexts. By highlighting the diverse roles citizens play in sustaining democratic processes, we offer new insights into citizenship in the digital age, demonstrating how different citizens contribute to the democratic system through varied and interdependent forms of engagement.

A future of authoritarian citizens? Explaining why Spanish youth are losing faith in democracy

This article examines why Spanish young people support democracy to a lesser extent than younger generations decades ago: while youth in previous decades showed stronger democratic commitment, the eventual support an authoritarian regime is increasing among today’s youth. Building on a theoretical discussion, we propose three hypotheses to explain why levels of diffuse democratic support is decreasing among Spanish young people: (1) political ideology, since young people place themselves on the right side of the left-right division to a larger extent and this might affect their democratic support; (2) the influence of radical right parties, since new radical parties, as VOX, are spreading discourses that are mainly critical towards democracy and defend past authoritarian experiences; and, finally, (3) the role of social media where these radical discourses that challenge democracy. Analysing survey data from the Spanish Centre for Sociological Research, our results highlight the relevance of young people who place themselves at the centre of the ideological spectrum in understanding this decline in young people’s levels of democratic support. We also explore the presence of a gender gap in democratic attitudes—given its relevance in other contemporary attitudinal and behavioural shifts affecting young people in many Western countries—but find no evidence of such a gap.

The Flexibility Advantage: Examining the Impact of Work Arrangements on Job Satisfaction for Women in IT

The IT industry has long been characterized by demanding work schedules, rigid structures, and high-pressure environments, often leading to challenges in work-life balance—especially for women. As organizations increasingly adopt flexible work arrangements, it becomes crucial to assess their impact on job satisfaction. This study explores how various work arrangements, including remote work, hybrid models, and flexible hours, influence job satisfaction for women in the IT sector. Using a mixed-methods approach, we analyze survey data and in-depth interviews with female IT professionals across different organizations and geographies. Our findings indicate that flexibility significantly enhances job satisfaction, reduces burnout, and improves overall work engagement. However, the study also highlights challenges such as career progression concerns, workplace biases, and the potential for work-life boundaries to blur. The study contributes to the ongoing discourse on gender diversity and workplace equity by offering actionable insights for policymakers, HR professionals, and corporate leaders. We propose recommendations to optimize flexible work policies, ensuring they support both productivity and employee well-being. By fostering inclusive and adaptable work environments, organizations can retain top talent, enhance job satisfaction, and drive long-term success in the IT industry.

Estimation of the burden of catastrophic costs among the TB affected families of West Bengal, India: a secondary analysis of the sub-national certification survey data

Background: Reducing catastrophic costs due to TB is one of the major targets of TB elimination, but there is little data available in India. A sub-national certification (SNC) survey was conducted in 105 clusters of 13 revenue districts of West Bengal. The purpose of this study was to calculate the catastrophic cost and its associations using the SNC data of West Bengal. Methods: A cross-sectional study was conducted using the secondary data collected through SNC survey during December-2022-January-2023. 483 participants having history of TB were included in the study. Results: 26.1% families were found to be affected with catastrophic cost due to TB. The mean annual family income was 691 USD (SD=806). Mean total cost incurred due to TB was 149 USD (SD=1208) including out of pocket of expenditure of 91 USD (SD=1147) and indirect costs of 58 USD (SD=200). No association of catastrophic cost was found with age, gender, religion, socio-clinical vulnerability or cash benefit received status. Those who were labourers, clinically diagnosed, diagnosed at private facilities, treatment duration more than six months and belonging to family below poverty line were found to be independently associated with higher being odds of affected with catastrophic costs. Conclusions: Despite free medicine and free diagnostics many families are still facing catastrophic costs due to TB. Cash benefits should be prioritized towards most impoverished sector of the society. The National TB Elimination Program should also strategize to reduce indirect costs due to wage loss and productivity loss.

Building resilient communities: The impact of social capital on disaster recovery in Oman

ABSTRACT Natural hazards pose significant threats to society, highlighting the need for resilience and risk mitigation frameworks. This study investigates the role of social capital in disaster preparedness and response in Oman with an objective to identify key predictors that shape public perceptions of these efforts. Using ordinal logistic regression (OLR) analysis of quantitative survey data from 436 participants, the study identifies significant predictors shaping public perceptions of effectiveness in both governmental and community-driven disaster management. Findings demonstrate that trust, commitment, communication, and awareness are pivotal to enhancing community resilience, with trust emerging as the most influential factor. In addition, the analysis reveals that community efforts are often perceived as more effective than government initiatives. These results advocate for the integration of social capital elements within disaster management policies and emphasize importance of local engagement. The study offers actionable insights for policymakers to strengthen community-government collaboration and advance disaster resilience strategies.

Influences of Generation Z Characteristics on Job Embeddedness and Turnover Intention

Purpose: This study explored how Generation Z characteristics—specifically work–life balance, growth needs, and individualism—along with work environment, emotional labor, and interpersonal skills, affect job embeddedness among newly graduated nurses. It also examined whether job embeddedness mediates the relationship between these factors and turnover intention. Methods: A correlational descriptive study was conducted by analyzing survey data collected from 131 clinical nurses born between 1995 and 2000, who had less than three years of nursing work experience in South Korea. Hierarchical multiple regression analysis was employed to identify the independent effects of Generation Z characteristics on job embeddedness, over and above the effects of work environment, emotional labor, and interpersonal skills. Path analysis using bootstrapping method was conducted to examine the mediating role of job embeddedness in turnover intention. Results: Needs for growth and work environment were significant predictors of job embeddedness among newly graduated nurses. Furthermore, the effects of needs for growth and work environment on turnover intention were significantly mediated by job embeddedness. Conclusion: Understanding the characteristics of Generation Z, particularly their needs for growth, along with the work environment, is essential for enhancing job embeddedness among newly graduated nurses. Strengthening job embeddedness can effectively reduce their turnover intention.

A Preliminary Study of Different Types of Organizational Support Associated With Community Corrections Staff Job Satisfaction

Many people work in community corrections, and their job satisfaction is important. The current preliminary study examined how the four major types of work social support (i.e., family/friends support, coworker support, supervisor support, and management support) were directly related to the job satisfaction of community corrections officers. A cross-sectional design analyzed survey data from 227 community corrections employees in a Western U.S. state. Ordinary least squares regression results indicated that family and friends support, coworker support, and management support had significant positive associations with job satisfaction, with management support having almost three times the association as compared with the other types of support. Supervisor support, however, had a nonsignificant association. The results from this study are particularly relevant for policy makers and supervisors in the field of community corrections as they seek ways to increase retention and job satisfaction among community corrections employees.

Enhancing consumer loyalty through Islamic experience-based marketing in legendary culinary businesses

Purpose – This study examines the impact of the Islamic experiential marketing strategy and value co-creation on customer loyalty, considering customer satisfaction as a mediating variable. This study develops a model integrating subjectivist spirituality within Islamic marketing to improve consumer experiences and loyalty. Method – This study utilizes a quantitative method, analyzing survey data obtained from 265 consumers of renowned culinary establishments in Medan city, where the sample was selected using a purposive sampling method. Data was analyzed using structural equation modeling (SEM) to investigate the relationship between variables and the research instruments underwent validation and reliability tests. Findings – The findings show that Islamic experiential marketing strategy positively affects customer satisfaction. Islamic experiential marketing strategy negatively affects customer loyalty. Value co-creation negatively affects customer satisfaction. Value co-creation positively affects customer loyalty. Customer satisfaction positively affects customer loyalty. Customer satisfaction can mediate the relationship between Islamic experiential marketing strategy and value co-creation with loyalty. Implications – This study can extend the existing literature on Islamic marketing by integrating subjectivist spirituality, thereby enhancing understanding of the factors that drive consumer loyalty. These findings are of practical importance to culinary businesses looking to increase consumer engagement and retention by integrating Islamic values ​​into experiential marketing strategies and co-creation, enabling businesses to foster lasting consumer relationships while upholding Islamic marketing practices.

Why do idiosyncratic deals engage employees? Investigating their role in addressing employment concerns

PurposeDrawing on conservation of resources (COR) theory, this study explores two resource dynamics underlying the relationship between personalized employment arrangements and work engagement. Specifically, we investigate whether idiosyncratic deals (i-deals) mitigate perceptions of job insecurity (resource conservation) and alleviate feelings of overqualification (resource acquisition).Design/methodology/approachStudy 1 analyzes survey data from 4,803 employees to examine the indirect effects of various types of i-deals on work engagement through job insecurity and overqualification perceptions. Study 2 employs a vignette-based experimental design to establish causal evidence regarding the effects of granting versus denying i-deals on these perceptions.FindingsStudy 1 demonstrates that task, responsibility and developmental i-deals are positively associated with work engagement through both mediators. Study 2 complements these findings, revealing that granting desired i-deals reduces anticipated job insecurity, whereas denying them exacerbates feelings of overqualification.Originality/valueThis research advances understanding of the dual role of i-deals in fostering work engagement by simultaneously addressing resource threats and enhancing resource alignment. It sheds light on the complex dynamics of i-deal negotiations and their implications for employees’ resource perceptions.

Family faith, altruistic values and community CSR in family firms

PurposeThe purpose of this study is to examine the relationships between family faith, altruistic family business values and community CSR in private family firms.Design/methodology/approachThis study uses structural equation modeling to analyze survey data from 378 US-based private family firms.FindingsThis study finds a positive relationship between altruistic business values and community CSR. The study also finds a positive relationship between family faith beliefs and altruistic business values when family faith participation is high. However, when family faith participation is low, the relationship between family faith beliefs and altruistic business values is nonsignificant.Originality/valueWhile prior work has argued that family firms often engage in CSR more than non-family firms, less work has been done to understand heterogeneity in CSR amongst family firms. This study identifies key antecedents that help explain such heterogeneity—altruistic business values and family faith—and identifies conditions under which they have a positive effect on CSR.

Enacting Responsible AI: A Configurational Analysis of AI Principles in Practice

Abstract Responsible AI (RAI) entails developing, using, and governing AI in a human-centred way to ensure its trustworthiness and alignment with human values. Organizations attempt to enact RAI through guiding principles that aim to minimize threats such as bias and privacy violations and enhance outcomes such as transparency and fairness. In the empirical study we report in this paper, we share insights about how AI experts view RAI principles, including relationships among them, these principles, and the enactment of RAI principles. Employing a sequential mixed-methods approach, we analyse survey data from 135 AI experts from Europe and America using fuzzy-set Qualitative Comparative Analysis (fsQCA), complemented by follow-up interviews. Our analysis identifies five equifinal combinations of RAI principles associated with high overall RAI enactment. The findings reveal the crucial role of accountability and safety-reliability principles and highlight the contextual variability of other principles. This research contributes a nuanced understanding of RAI enactment, moving beyond individual principles to demonstrate their complex interplay and their contextual dependencies in achieving responsible AI practices.

Empirical Analysis of Social Media Influencers’ Effect on Consumer Purchase Intentions and Behavior

Social media influencers (SMIs) have become pivotal stakeholders in digital marketing. This study examines how SMIs influence consumer decision-making and investigates the role of trust in this process. Drawing on the theory of planned behavior (TPB), we developed a research model with testable hypotheses. Using partial least squares structural equation modeling (PLS-SEM), we analyzed survey data from 232 social media users in Greater London, UK. Our results indicated that SMIs significantly enhance purchase intentions, yet these intentions exhibited only a weak conversion into actual purchasing behavior. Contrary to expectations, trust in SMIs demonstrated a significant negative relationship with purchase intention, suggesting that higher trust may paradoxically diminish purchase likelihood. This counterintuitive finding underscores the complexity of trust dynamics in influencer marketing, where perceived commercialization or consumer skepticism may counteract its positive effects. Furthermore, while SMIs strongly foster trust, our analysis reveals that trust does not mediate the relationship between SMIs and actual purchases. These findings contribute to literature by elucidating the nuanced role of trust and highlighting the intention–behavior gap in influencer marketing. Future research could explore contextual and psychological moderators to deepen our understanding of trust dynamics.