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Good Samaritan laws were enacted to reduce overdose deaths by lowering the barriers to reporting for victims and witnesses and allowing law enforcement officers to carry and administer Narcan to those suspected of an opioid-related overdose The purpose of this study is to understand how officers perceive the impact of opioid overdose reduction initiatives in the United States and their role in the opioid epidemic.

Mixed methods were used in two phases to examine perceptions among law enforcement officers in a Massachusetts police department. First, qualitative methods were used to interview nine patrol officers during participant observations in the form of ride-alongs. Second, patrol officers and officers who volunteer with the department opioid outreach program were surveyed.

Officers generally held mixed feelings about the state’s Good Samaritan law. They saw the importance of saving the lives of those experiencing an overdose and keeping other first responders safe, but also in enforcing laws against possession of illegal drugs that presents a public safety threat, including the accidental exposure to fentanyl. Despite mixed feelings, officers still believed it to be important that they are trained and able to administer Narcan since they are often the first to arrive on scene.

This study adds to the research on officers’ perceptions of their role in the opioid epidemic, their ability to administer Narcan and the impact of Good Samaritan laws on their community.

This study explores the linkages between various attributes, consequences and values of casino restaurants and the differences in the hierarchical value maps between female and male customers and between casino players and non-casino players.

This study was conducted using the means-end chain (MEC) theory. The data were collected using the hard-laddering method. Two hundred forty-one responses were analyzed.

Attributes such as “taste,” “reasonable prices,” and “discounts” were associated with the values “personal happiness,” “considered,” “life satisfaction,” and “life-quality enhancement” at casino restaurants. Males were found to hold “prompt services” as important when dining at casino restaurants, while females held a “spacious environment” to be critical. Furthermore, “use of casino complimentary credits” was important to casino players, while “free parking” and “comfortable seats” mattered for non-casino players.

It is suggested that casinos add more Asian cuisines in their casino restaurants in Macao to attract customers who value culinary and cultural exploration while simultaneously satisfying tourists from neighboring regions who wish to enjoy familiar foods when they visit Macao. In addition, the authors recommend that casinos develop menu items that can be served quickly to casino players.

This study is based on the MEC theory and broadens the range of studies on casino restaurants. Furthermore, it provides useful information to guide casino restauranteurs in developing their marketing and operational strategies for different customer segments.

Introduction: Political stability is an essential source of stock market dynamics. Investors are confident about countries that have higher political stability. Political stability in an economy enables investors to develop their ability to predict the future and thus to tend towards longer-term and permanent economic and financial activities.

Purpose: The study aimed to investigate the impact of political instability in BRICS countries and Türkiye on their stock market volatilities.

Methodology: The study analysed the univariate exponential generalised autoregressive conditional heteroskedasticity (EGARCH) Model. The model employed the credit default swap (CDS) 5-year USD Bond data of the BRICS countries and Türkiye to represent political instability. The daily stock exchange index return data from 1 January 2015 to 15 January 2023 was used for model estimation.

Findings: The results of the EGARCH model indicate that political instability is a crucial factor in stock market volatility. The coefficients suggest that when CDS increases in BRICS countries and Türkiye, the volatility of stock returns also increases. The analysis shows that the impact of political instability on the stock market of BRICS countries and Türkiye is not uniform. However, the significant effect of political instability on volatility is higher for Türkiye than for BRICS countries. This indicates that investors perceive the political risk of Türkiye to be greater than that of BRICS countries when investing in the stock market of Türkiye.

The daunting task of managing knowledge workers virtually has not always yielded positive results. This empirical work discusses the impact of Virtual Leadership on Organizational Citizenship Behavior. The study investigated how Psychological Contract Violation moderates the relationship between Virtual Leadership and Organizational Citizenship Behavior.

Data was collected from 392 IT engineers working in software companies in India. The cross-sectional data was analyzed using Warp-PLS software, IBM SPSS and IBM Amos.

The results support the proposition that virtual leadership is negatively associated with Organizational citizenship behavior, at sub-dimension levels except obedience. The moderating role of psychological contract violation is also established by the results.

Virtual leaders should demonstrate collaborative behaviors to generate organizational citizenship behavior among team members. Leaders should be imparted training to enable them to adapt themselves to virtual environment. This study highlights the paradoxical nature of virtual leadership and opens the possibilities for future research.

The study is one of the first to report a negative association between Virtual leadership and Organization citizenship behavior. There is uniqueness in the use of the “Contingency theory of leadership” to explain the difficulties faced while managing a virtual team.

This paper presents the most up-to-date comprehensive meta-analysis of the effectiveness of interventions to enhance psychological capital (PsyCap). It also reports the first meta-analytic examination of longer-term effects (beyond the immediate post-intervention period).

This meta-analysis followed PRISMA 2020 guidelines and utilised the methodologies of Hunter and Schmidt (2004) and Borenstein et al. (2009). The search period was from 2006 until February 2023. A total of 40 studies (N = 4,207) were included in the meta-analyses. The analyses were performed using the Comprehensive Meta-Analysis (CMA) Version 4 software programme.

The results indicate that the impacts of interventions on PsyCap and each of its component resources are greater than those reported in a previous meta-analysis (Lupșa et al., 2020), with the strongest impacts on hope and optimism. Interventions had sustained positive effects on PsyCap, hope, resilience and optimism, but not efficacy, and the frequency of intervention sessions influenced the effectiveness of interventions on hope, efficacy and optimism. Interestingly, specific PsyCap-focussed interventions did not have the greatest impact on PsyCap or its component resources.

This study contributes to emerging research on wellbeing-oriented HRM and provides valuable insights into more effective design and implementation of interventions to enhance PsyCap and its component resources. These interventions are a promising form of investment in employees which may bring mutual gains for individuals and organisations. The present findings extend those of previous studies and specifically respond to the call for further research on the persistence of PsyCap intervention effects.

This study aims to investigate the relationship between managerial corporate social responsibility (CSR) mindset and business performance in small- and medium-sized enterprises (SMEs), focusing on the mediating role of CSR practices and the moderating influence of institutional forces.

A structured questionnaire was administered to 221 SME managers. The data was analysed using the Hayes process in SPSS to test the hypothesized relationships.

This study found that a managerial CSR mindset significantly improves operational and financial business performance. In addition, CSR practices mediate the relationship between managerial CSR mindset and business performance. Furthermore, institutional forces moderate this relationship, highlighting the critical role of external factors in shaping SME performance.

The findings suggest that SME managers should adopt a proactive managerial CSR mindset and integrate CSR into their core strategies to enhance business performance. Moreover, managers must be responsive to institutional forces as they adjust their strategy to meet external pressures to ensure sustainable performance.

This study demonstrates the theoretical explanation of how CSR practices serve as a conduit through which a managerial CSR mindset improves business performance under varying conditions of institutional forces.

The process of knowledge creation is recognized as an essential process for organizational learning and innovation. Creating knowledge to solve the problems and complexities of today's world is like opening a black box. Hence, the higher education system and universities are exploring ways to overcome the complexities and cope with global changes. In this regard, interdisciplinary collaborations and activities are crucial in creating knowledge and innovation to counter these changes. This study aimed to know the experiences of Shiraz university interdisciplinary researchers in the field of humanities and also design and explain the conceptual model of knowledge creation in interdisciplinary research teams in the field of humanities.

In this qualitative research, grounded theory was implemented based on Strauss and Corbin's systematic approach. The sampling method was purposeful, and the participants included sixteen faculty members of shiraz university who had at least one experience of performing an interdisciplinary activity in one of the humanities fields. The first participant was selected as a pilot, and the rest were selected by snowball sampling. Semi-structured interviews were also used to collect data and continued until theoretical saturation was attained. After collecting the available information and interviewing the people, the data were organized and analyzed in three stages, open coding, axial coding, and selective coding, using the proposed framework of Strauss and Corbin. Finally, the researcher reached a final and meaningful categorization.

In this research, the results were presented as a paradigm model of knowledge creation in the interdisciplinary research teams in the field of humanities. The paradigm model of the study consists of causal factors (internal and external factors), main categories (specialized competencies, scientific discourse, understanding of knowledge domains), strategies (structuring and synchronizing), context (individual and organizational), interfering factors (leadership, industry, and society), and consequences (individual and group achievement).

The present study aimed to explore the experiences of researchers in the interdisciplinary humanities research teams on knowledge creation in qualitative research. The study used Strauss and Corbin's systematic approach to recognize the causal factors of knowledge creation and the contexts. Discovering the main category of knowledge creation in interdisciplinary research teams, the authors analyze the strategies and consequences of knowledge creation.

Artificial Intelligence (AI) is permeating many facets of our daily lives, appearing in household appliances, cell phones and popular online apps. AI has the capacity to revolutionize teaching and learning processes in higher education institutions. The integration of AI technologies in education can lead to personalized learning experiences, improved educational quality and enhanced learning outcomes. However, the adoption of AI in higher education comes with challenges such as ethical considerations and the need to address equity and inclusion issues to ensure that all students benefit from AI advancements. This chapter considers how AI can be utilized in education, while acknowledging the challenges and finding ways to mitigate them. Useful tools include: Bespoke Learning, Intelligent Tutoring Systems, Grading, Collaborative, Learning Assistance, Research Support and Adaptive Learning. The challenges addressed are: ethical considerations, resistance to change and data security and privacy. In navigating the complexities of integrating AI in higher education, institutions must strike a balance between leveraging the transformative potential of AI technologies and addressing the ethical, social and technical challenges that accompany their implementation. By prioritizing ethical considerations, addressing resistance to change and safeguarding data security and privacy, higher education institutions can harness the benefits of AI to enhance teaching and learning practices, foster innovation and prepare students for success in the digital age.

With the increasing global popularity of the gig economy encompassing freelancers, online platform workers, self-employed, on-call workers and other temporary contractual workers, this study aims to review research focusing on the gig economy to explore the nuances of working in various alternative work arrangements. We aim to enhance the understanding of existing literature and highlight underexplored areas for future research.

A systematic literature review of 258 studies based on gig economy and gig work was conducted. It follows systematic search criteria and SPAR-4-SLR protocols. The analysis uses different gig worker profiles given by Watson et al. (2021) to categorize studies, followed by thematic analysis to identify patterns in the literature.

Our analysis of studies on gig economy shows that the majority of existing literature is based on gig service providers. Within this literature subset, major areas of study are work conditions, financial conditions, emergence and role of collectives, the impact of algorithmic management and the impact of rise of the gig economy on entrepreneurship. There is little research focusing on gig goods providers, gig data providers, agency gig workers and traditional gig worker profiles. More focus is also needed on emerging markets and markets transitioning to the gig economy.

Differing from reviews that have attempted to define gig work and workers, we focus on literature on the lived experiences of gig workers. By reviewing studies on different gig worker profiles, we are able to highlight future research directions for pointed sample sets and comparative underexplored areas.

Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.