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In the new economy, governed by technological progress and informational abundance, e-government service represents one of the drivers of the digital economy and society. The government and its institutions have the role of stimulating, leading, and controlling the process of transition to the digital society, which is a key component for the future prosperity and resilience of the European Union (EU). With focus on a better functioning of society by improving the citizens' access and use of e-government services, in this work we aim to identify the factors that influence the online interaction of individuals with public authorities in the EU member states. We used panel data for the EU member states in the period 2013–2021 to investigate the determinants of individuals' interaction with public authorities through institutional websites, using clustering regression with fixed effects, which allows both the clustering of the states and obtaining different slope parameters for each cluster. The results indicated the grouping of the EU states in an optimal number of two clusters, and the fixed effects regression clustering pointed out different coefficients for the two clusters, indicating distinct patterns. The main factors that influence the online interaction of citizens with public authorities are related to internet use, education, and government effectiveness, but the impact is different for the two clusters, depending on the specifics of the component countries.

The role of higher education institutions is paramount in creating social and cultural conditions for sustainability. Several studies show universities play an important role in promoting public understanding and awareness about sustainability. The purpose of this study is to analyze the application of university social responsibility (USR) on green and nongreen campuses and how it affects the corporate social responsibility (CSR) of students' self-consciousness (SSC), especially in accounting undergraduate programs by looking at how the undergraduate programs shape their curriculum and can build student awareness related to CSR.

A total of 704 accounting undergraduate programs students from eight different universities in Indonesia were surveyed to test the CSR SSC. Eight participating universities were included in the green campus based on Universitas Indonesia Green Metric (UI GreenMetric) and nongreen campus. Each university was analyzed regarding the application of USR.

The results of this study show that universities included in the green campus at the UI GreenMetric do not necessarily have a higher USR than the nongreen campus. Overall, there is evidence that graduates from universities with high USR implementation have better CSR SSC than graduates from universities with low USR implementation. Furthermore, the findings of this study show that there is a high value of ethic and CSR knowledge coming from university students with high USR implementation but not so with character. The findings show the same results from students between the two university groups.

To the best of the authors’ knowledge, this study is the first attempt to examine the effect of USR implementation on CSR SSC in Indonesia, by putting students’ CSR knowledge as a part of CSR SSC.

The research aims to provide a nuanced understanding of the complex social, psychological and organizational factors that serve as the foundation driving academics' knowledge-sharing behavior (KSB) within an academic enclave.

A cross-sectional research design using the partial least squares structural equation modeling (PLS-SEM) approach was employed to examine the determinants of personality traits among tertiary academics in Malaysia in relation to their KSB. To this end, a self-administered survey was distributed to a sample group of 526 respondents.

It is evident that conscientiousness and agreeableness are the personality traits that play a significant role in promoting KSB among academics in higher learning institutions (HLIs). These personality traits are positively linked with academics' willingness to transfer and receive knowledge. In contrast, the personality trait of openness to experience does not significantly influence KSB.

This study has employed a four-item measurement for evaluating the three distinct personality traits. Despite employing a brief measurement tool, the study has demonstrated significant reliability and validity, particularly in terms of convergent and discriminant validity.

The present study has revealed that conscientiousness in academics is intimately linked with their KSB, which is of paramount importance in the output-based education system. Notably, agreeableness among academics also conveys a positive effect on knowledge sharing (KS) in HLIs, as it cultivates trust and helpfulness among individuals and facilitates the exchange of valuable tacit knowledge.

This research explores the relationship between personality traits and KSB among Malaysian academics in HLIs. The study adopts the theories of planned behavior (TPB) and social capital theory (SCT) as theoretical ground, providing a nuanced understanding of the underlying motivations and mechanisms driving academics' knowledge-sharing behavior within the unique socio-cultural context of Southeast Asia.

In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

The purpose of this study is to examine the influence of conscientiousness on entrepreneurship over and above the impact of other factors that are associated with entrepreneurship in the literature.

The design uses household responses from the Panel Study of Income Dynamics (PSID) biennial survey that follows the same heads of households over time to measure their conscientiousness, businesses owned and other demographic and financial characteristics. Ordinary least squares (OLS), Probit and Poisson regression techniques are applied at the head of household and state level to examine the relationship.

The results show heads of households’ conscientiousness positively relating to the average number of businesses owned, beyond other Big Five traits and the impact of other characteristics. A one-standard deviation increase in conscientiousness is significantly associated with a 0.012 increase in the number of businesses owned. This association is robust to alternative regression specifications and variable measurements.

The results are original to the finance literature, complementing studies by linking intrinsic head of household-level traits to entrepreneurship while controlling for external financial and demographic factors. The study also attempts to externally validate previous findings using aggregate-level outcomes. The data and setting used to measure personality traits as well as entrepreneurial outcomes are original to the entrepreneurship literature, validating previous findings.

This study examines the relationship between partners' locus of control and their spouses' domains of job satisfaction (job satisfaction and its domains, personal income and promotion) among Australian couples.

Data were obtained from the Household, Income and Labor Dynamics of Australia (HILDA) Survey. Various estimation strategies including ordinary least squares (OLS), Mundlak approach and instrumental variable (IV) method are used to reveal the relationship between spouse's locus of control and domains of job satisfaction.

To reduce sex heterogeneity, the analysis used in this study is disaggregated by sex. In particular, the findings of this study show that wives' locus of control positively influences husbands' satisfaction with pay and working hours, while there is no relationship between husbands' locus of control and wives' domains of job satisfaction.

The study's findings emphasize the importance of locus of control in couples. A good work–life balance and a healthy marital relationship potentially facilitate positive effects of characteristics from the partner on employees' job satisfaction. Thus, on the organizational level, employers may consider creating a working environment that promotes a healthy marital relationship for their staff, including flexible working schedules, work from home options, family days or family-extended staff events.

This study is the first to reveal the relationship between spousal locus of control and domains of job satisfaction, enriching the current literature on this topic.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

Obesity is a significant public health issue. With obesity increasing worldwide, risk factors for obesity need to be better understood and require careful examination. This study aims to examine mental health as a risk factor for obesity using longitudinal data from Australia.

The main identification strategy relies on the recent death of a close friend and a serious injury or illness to a family member as exogenous shocks to mental health.

The authors’ preferred estimates, which account for the endogeneity of mental health, suggest that mental health has a significant negative impact on obesity. This result proves to be robust to a suite of sensitivity checks. Further investigations reveal that poor mental health leads to increased smoking, which also has an effect on obesity.

The study’s findings provide a new perspective on how good mental health helps curb obesity.

This paper focuses on the factors that affect entrepreneurs' performance in small and medium enterprises (SMEs) in the context of a developing nation. Despite the advances in this literature, examination of opportunity recognition in the same model with personal factors and environmental factors on entrepreneurs' performance is lacking.

A quantitative survey was carried out and the data sample of 198 SMEs entrepreneurs in Bangladesh was collected using quota sampling technique. Partial least squares-based structural equation modeling (PLS-SEM) was employed to test the hypothesized relationships.

The study found that the direct effect of personal and environmental factors significantly influences entrepreneurs' performance and opportunity recognition, and opportunity recognition significantly influences entrepreneurs' performance. The results further indicated that opportunity recognition mediates the relationships between environmental factors and entrepreneurs' performance, but not on the relationships between personal factors and entrepreneurs' performance.

The findings from the study guide SMEs entrepreneurs' performance by utilizing the opportunity recognition more efficiently and effectively. The study further enhances practitioners' understanding of the drivers and motivations of entrepreneurs within a developing nation context.

Although some previous studies already exist that discuss SMEs entrepreneurs' performance, there have been few studies focusing on opportunity recognition and mediation role of opportunity recognition, and far lesser in the context of a developing nation.

This paper aims to assess COVID-19 as presenting both a crisis and opportunity for police trust and legitimacy by considering the role of police in delivering the legislative requirements of government and enforcing various health orders across Australia and New Zealand.

The research relies on a mixed-methods analysis of national, commonwealth, state and territory policy, corporate police reports, academic commentary and media coverage throughout the pandemic. Survey data gathered during the pandemic relevant to trust and legitimacy in police and government is also analysed.

Five findings relating to police trust and legitimacy are identified. They reveal that police mostly did seize the pandemic as an opportunity to implement practices that enhanced perceptions of trust and legitimacy. However, even where police were able to leverage COVID-19 as an opportunity, the protracted nature of the pandemic posed a challenge for maintaining trust and legitimacy gains. The findings also underscore the importance of a continued focus on building trust and legitimacy post-pandemic to counter any lingering consequences.

The applicability of the findings outside the Australian and New Zealand context may be limited, given differences in jurisdictional legislative frameworks and policing operational environments.

This study identifies good community engagement practice for pandemic policing, contributes to communication strategies for managing trust decay during an emergency, forecasts ongoing trust and legitimacy challenges to policing’s post-pandemic operational environment and enhances aspects of post-pandemic recruitment approaches.

The findings contribute to emerging police practice and research on building and sustaining trust and legitimacy during periods of uncertainty and volatility, such as during and after a pandemic.