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Community-police relations have gained increasing public attention during the past decade. The purpose of the present study was to better understand the relationship between perceived community support and police officer burnout and engagement.

Data were gathered via online survey from 117 officers from a city police department in the Southeastern United States.

Community support was negatively correlated with burnout and positively correlated with engagement. Moreover, multiple regression analyses showed that community support explained significant incremental variance in most dimensions of burnout and engagement, above and beyond demographic factors and community stressors. Qualitative results showed that police officers had mixed perceptions of how they were viewed by the general public, with more negative than positive responses. However, officers felt more positively perceived in their own communities, but concerns were raised that national events affected the perceptions of officers even in positive relationships with their communities. Finally, officers felt that public perceptions impacted their job satisfaction, job performance and personal lives.

The results have practical implications for how to encourage positive interactions between officers and their community, with recommendations for both law enforcement leaders and civilians.

This study is one of the few that highlights the officers' perspective on how public perceptions affect their work. This is important in understanding how to maximize quality community interactions while minimizing conditions that would increase burnout.

Most college athletics department have not sold corporate naming rights to their athletics facilities. Popp et al. (2016) suggests two primary reasons: (1) difficulty in determining proper valuation and (2) fear of stakeholder backlash. The purpose of the current study is to address both concerns by utilizing a hedonic pricing model predicting collegiate naming rights values and utilizing fixed-effects models to determine if consumer behavior (event attendance and donations) is impacted by a corporate name change.

Data from 110 naming rights agreements among NCAA Division I programs were examined, alongside market-related variables, institution-related variables and venue-related variables. Utilizing hierarchical model building to reduce independent variables and OLS regression modeling, significant relationships with annual value of naming rights agreements were uncovered. Fixed effects models were utilized to determine if naming rights impacted attendance and donations.

A final model explained more than 53% of the variance in average annual value of naming rights agreements, with three significant factors: (1) attendance, (2) all-time winning percentage and (3) venue construction cost. Fixed-effects models revealed no significant differences in attendance or donations after a naming rights deal was signed.

Corporate naming rights agreements for college athletics facilities are a recent phenomenon. While a similar study examining drivers of collegiate sport naming rights was previously conducted, the current study revealed a shifting marketplace. In addition, no prior study has examined the impact of a corporate naming rights agreement on future attendance and donations.

This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times.

The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors’ timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods.

This study’s results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave.

This study’s findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions.

Crucial implications can be drawn from this study’s findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study’s findings to design trading strategies and hedge against risk.

A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

Hospitality firms adopted diverse hiring policies and public declarations of support for LGBTQ+ causes through brand activism. The impact of activism on LGBTQ+ employees’ workplace experiences has been ambiguous. This study aims to examine the hospitality and tourism employees’ perceptions of gay and lesbian leaders as token-hires among hospitality employees and the spillover effect on company’s motives for hiring the leaders. This study further explores LGBTQ+ employees’ reactions to token-hiring as a form of activism, and how workplace interactions as passing/revealing LGBTQ+ individuals shaped their career development.

This research adopted a sequential mixed-methods design. An experiment examines how employees judge gay vs lesbian hospitality leaders as token hires, contingent on their own gender identity. It further tests the conditional mediation of tokenism on company’s egoistic motives for activism. A qualitative study explores the reactions to token-hiring as activism from the perspective of LGBTQ+ leaders who reflect on their own careers and workplace experiences.

Tokenism in the hospitality workplace is recognized as the phenomenon attributed to groups at the intersection of identities (e.g. gay men). Findings demonstrate the spillover effect of tokenism perceptions of gay male leaders by other men on company’s egoistic motives for activism. This effect is not observed for a lesbian female leader. Results from interviews suggest that hospitality and tourism LGBTQ+ employees predominantly take the post-gay vs political approach when managing their sexual identities at work and feel ambivalent toward token-hiring as LGBTQ+ brand activism.

This research contributes to understanding workplace challenges of LGBTQ+ employees and how they are perceived by others contingent on gender identity. It also explores the role of tokenism in their experiences.

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents. However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration. This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space. Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatorylearning and monitoring.The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite. The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.

The purpose of this paper is to consider some possible reasons for the relatively high rate in Wales of children looked after by local authorities.

Selected potential explanations for Wales having higher rates were tested against aggregate data from published 2021 Government statistics. Wales was compared with England and English regions for area deprivation, local authority spending, placements at home and kinship foster care. Descriptive statistics were produced, and linear regression was used where appropriate.

Wales has higher overall children looked-after rates and a bigger recent increase in these than any English region. Deprivation in Wales was higher than in most English regions. However, a smaller percentage of Welsh variation in local authority looked-after rates was explained by deprivation than was the case for England. Spending on preventative services has increased in recent years in Wales whilst decreasing in England, and there was not a clear relationship between spending on preventative services and the looked-after rate. Wales had a higher rate of care orders placed at home and more children per head of population in kinship foster care than any English region. Some of the explanations that have been suggested for Wales’s particularly high looked-after rates seem to be supported by the evidence from aggregate data and others do not. Practice variation is likely to also be an important part of the picture.

This is an original comparison of Wales, England and English regions using aggregate data. More fine-grained analysis is needed using individual-level data, multivariate analysis and qualitative methods.

If building and nurturing a learning organization is not a random chance, the question of where organizations should start is patent. Because learning culture is one of the core components of learning organizations, it is wondered how individuals and organizations contribute to this phenomenon. Under an interactional perspective, the authors explore the cross-dynamics between learning resources, structure and support (organizational level), and self-directed learning (individual level).

The authors conducted qualitative and exploratory research in Spring 2021 in France. They used semi-structured interviews with HRMs and a Delphi panel as the main instruments. This dual approach brings a reflexive and complementary dialogue to the research question.

The results show that non-learning organizations took advantage of the Covid-19 period. They created a learning biotope and fostered learning dynamics. Although this biotope acted as a learning marketplace and lacked guidance, individuals interacted with this learning biotope. They took learning initiatives and developed their self-directed learning. This understanding argues for constant interaction and co-influence between organizations and individuals to build and nurture a learning culture.

There is little discussion on how individuals and organizations contribute to building and nurturing a learning culture from an interactional perspective. Furthermore, literature on learning organizations considers self-directedness as a whole, considering self-directed learning as a characteristic and a process sharpens thinking. On methodological concerns, the authors used a dual qualitative approach with interviews and Delphi for the first time in research on learning organizations.

The main objective of this study is to analyze the impact of spiritual intelligence (SI) based on its four dimensions (critical existential thinking (CET), personal meaning production (PMP), transcendental awareness (TA) and conscious state expansion (CSE)) on teachers' turnover intention (TI) through sanctification of work (SoW) and job satisfaction (JS).

Drawing from multiple intelligence theory, this study adopted a cross-sectional design to explore the hypothesized relationships. Copies of the questionnaire were distributed to 367 teachers working in public schools in Plateau State, Nigeria, and 290 out of the retrieved copies were useable. The data collected were analyzed using variance-based structural equation modeling (SEM), Smart-PLS 4.

The results suggest that SI does not significantly influence TI, while SoW and JS mediate the relationship between SI and TI.

The result suggests that SoW and JS are significant mechanisms through which SI predicts teachers' TI. This highlights the need for educational policymakers to integrate spiritual literature as well as imbibe spiritual practices such as prayers, meditations and yoga either at work or privately to enhance the development of SI among teachers.

The results offer an insightful understanding of SI and how it influences work outcomes. The mechanism roles of SoW and JS explain the process by which one's perceived numinous object, activity event and job experience influence a job decision.

This paper presents an analytical framework for modeling and measuring strategic alignment. The resource-product-market (RPM) model is introduced as a means of representing the alignment of the firm's internal resources with its product lines and external markets. A strategic alignment index is defined to measure the degree of alignment represented by a model.

The RPM model is derived as an extension of prior research on diversification indexes. The strategic alignment index is mathematically defined and the properties of the model are characterized using graph theory. The approach is illustrated for two example firms.

The RPM model is flexible and can be used with different types and measures of resources, products and markets. The model represents strategy in a structural manner addressing a vertical type of alignment. The index ranges continuously from 0 to 1.0, providing a useful scale for measurement and comparison.

Practitioners may use RPM modeling to assess the current alignment of their respective firms and to identify strategic alternatives which increase alignment through a taxonomy of 13 strategic moves. The results of applying the model to ten firms are summarized.

The paper contributes to the literature by providing a new method for modeling firm strategy which integrates resource and industry views, thereby enabling a measurement of their alignment. The paper is also novel in the application of graph theory to management.