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The purpose of this study was to explore the leadership competencies that are effectively transferring into the workplaces of recent military college alumni from both their curricular and co-curricular experiences.

Through semi-structured interviews, this study explored 15 military college alumni’s perspectives on the leadership competencies they developed in college and currently apply in the workplace.

The findings indicated the 15 military college alumni participants developed and applied the following student leadership competencies at work: productive relationships, helping others, supervision, empathy, ethics, functioning independently, resiliency, positive attitude and scope of competence.

Limited research explores leadership learning at military colleges and service academies in the United States. Yet these collegiate military environments have a missional focus on leadership education and development. This article highlights the importance of the alumni lens in assessing leadership learning in collegiate military environments and provides recommendations to administrators of this institution type.

This study explores the moderating effect of board gender diversity (BGD) between a firm's Environmental, Social, and Governance (ESG) performance and Economic value added (EVA) using NSE-listed 331 companies' data from 2015 to 2020, forming 1986 firm-year observations.

Our study is based on panel data; hence, we use a system GMM panel regression model to confirm whether the BGD moderates ESG and EVA. We also address the endogeneity issues.

Overall, our study reported a positive moderating effect of BGD between ESG and EVA. Similar results were observed across the chemical and financial services industries. However, in the case of the healthcare and consumer goods industries, we did not find support for the moderating effect.

The implications of our results are considerable and relevant for regulators, governing bodies, and corporate managers. It helps them understand how BGD plays a vital role in influencing the effect of ESG on a firm's EVA.

No existing research has explored the moderating effect of BGD between ESG and EVA, to the authors' best knowledge. Therefore, our study extends the existing literature and further supports resource dependency, agency, and stakeholder theories of corporate governance.

The COVID-19 pandemic, a sudden and disruptive external shock to the USA and global economy, profoundly affected various operations. Thus, it becomes imperative to investigate the repercussions of this pandemic on the US housing market. This study investigates the impact of the COVID-19 pandemic on a crucial facet of the real estate market: the Time on the Market (TOM). Therefore, this study aims to ascertain the net effect of this unprecedented event after controlling for economic influences and real estate market variations.

Monthly time series data were collected for the period of January 2010 through December 2022 for statistical analysis. Given the temporal nature of the data, we conducted the Durbin–Watson test on the OLS residuals to ascertain the presence of autocorrelation. Subsequently, we used the generalized regression model to mitigate any identified issues of autocorrelation. However, it is important to note that the response variable derived from count data (specifically, the median number of months), which may not conform to the normality assumption associated with standard regression models. To better accommodate this, we opted to use Poisson regression as an alternative approach. Additionally, recognizing the possibility of overdispersion in the count data, we also explored the application of the negative binomial model as a means to address this concern, if present.

This study’s findings offer an insightful perspective on the housing market’s resilience in the face of COVID-19 external shock, aligning with previous research outcomes. Although TOM showed a decrease of around 10 days with standard regression and 27% with Poisson regression during the COVID-19 pandemic, it is noteworthy that this reduction lacked statistical significance in both models. As such, the impact of COVID-19 on TOM, and consequently on the housing market, appears less dramatic than initially anticipated.

This research deepens our understanding of the complex lead–lag relationships between key factors, ultimately facilitating an early indication of housing price movements. It extends the existing literature by scrutinizing the impact of the COVID-19 pandemic on the TOM. From a pragmatic viewpoint, this research carries valuable implications for real estate professionals and policymakers. It equips them with the tools to assess the prevailing conditions of the real estate market and to prepare for potential shifts in market dynamics. Specifically, both investors and policymakers are urged to remain vigilant in monitoring changes in the inventory of houses for sale. This vigilant approach can serve as an early warning system for upcoming market changes, helping stakeholders make well-informed decisions.

Co-production improves the quality of healthcare services by prioritizing patient-centred care and ensuring optimal implementation. Current patient participation research have primarily concentrated on the co-production stages, despite patient participation being the central emphasis of its implementation. A study conducted analysed four specific attributes of patient participation, with patient engagement specifically emphasizing the interactions between patients and healthcare workers. Several studies have concluded that the interaction between the two actors is inefficient. This article examines current study trends concerning patient participation and identifies knowledge gaps from these studies.

This study used bibliometric analysis. This study used VOSviewer software for bibliometric analysis. The Scopus database contained 398 publications about patient participation in co-production in healthcare, which served as the basis for the analysis.

The study on patient engagement in a co-production context for healthcare had grown fast in recent years. Patient-centred approach and patient-centred care were two important things in patient engagement. Several factors influenced the implementation of patient engagement: attitude, ability, awareness, responsibility and knowledge. It is still uncommon to do research on the measurement of output and results from patient engagement implementation. Studies on instruments for measuring these two factors, particularly in a quantitative manner, are still few.

Various recommendations have been put forward for additional investigation. Firstly, further examination of outcome measurement in patient engagement is necessary, given the lack of decisive instruments available. Secondly, examining the most influential factors on patient engagement in co-production in healthcare. Thirdly, a more thorough analysis is needed regarding the dimensions of co-production, considering that some dimensions overlap, such as the activation and empowerment dimensions, which are really carried out during engagement. The researcher acknowledges the inherent limitations of bibliometric studies, including the dependence on the Scopus databases for extracting data and the choice of search phrases. Furthermore, conducting a systematic literature review may be necessary to thoroughly examine and delineate the research topics, methodologies and outcomes of this study.

This study updates us on patient engagement study trends and establishes a framework for implementing patient engagement in healthcare services.

Prefabricated building (PB) uses factory production and onsite assembly, which differs from traditional construction methods. This special construction approach may lead to dissimilar safety risks and challenges. Traditional safety assessment methods may not adequately and accurately assess the safety risks of PB construction. This paper aims to develop a new concept and methodology for targeted improvement in assessing PB safety risks.

Risk factors and indicators were established based on literature review and expert inputs. A structural equation model (SEM) was developed to investigate the relationships among three main risk categories: objects, workers and management. SEM analyzed the intricate associations between indicators and deepened understanding of safety risks. The model was tailored for China’s PB construction projects to enhance safety-risk management.

The cloud model evaluation validated the SEM model. A PB case study project tested and verified the model, evaluated its efficacy and quantified its safety performance and grade. We identified significant safety risk impacts across the three risk categories, safety-control level and specific areas that require improvement. The SEM model established a robust safety evaluation indicator system for comprehensive safety assessment of PB construction.

Practical recommendations provide valuable insights for decision-makers to enhance construction efficiency without compromising safety. This study contributed to the conceptual foundation and devised a novel method for evaluating safety performance in PB construction for safer and more efficient practices.

This study departed from the traditional method of calculating weights, opting instead for the SEM method to determine the weights of individual risk indicators. Additionally, we leveraged the cloud model to mitigate the influence of subjective factors in analyzing questionnaire survey responses. The feasibility and reliability of our proposed method were rigorously tested and verified by applying it to the PB case.

Peer-to-peer accommodation (P2PA) has witnessed remarkable growth across the globe recently. However, acceptance of P2PA among residents in developing economies is still fraught with several challenges. The paper aims to extend the constraint–negotiation framework to examine the motivations, perceived constraints, negotiation strategies and the role of learned helplessness of local residents to host tourists.

The data was collected through a self-administered questionnaire by using cluster random sampling technique. In total, 454 usable questionnaires were collected through on-site research. The structural model was tested by using survey data by applying PLS-SEM 4.0.

The results suggest that while perceived constraints can inhibit residents from hosting, negotiation strategies can reduce helplessness and encourage residents to host tourists.

Theoretically, this study advances P2PA literature by integrating learned helplessness in the constraint–negotiation framework and it offers insights for the P2PA providers as well as policymakers.

This is a pioneering study to examine the role of learned helplessness using constraint–negotiation framework in the context of P2PA, thus paving the way to advance P2PA-related research from the residents’ perspective.

Considering the impact of significant economic and political events, this study investigates the return spillovers and connectedness among eight West African currencies from March 31, 2010, to March 28, 2024. It aims to enhance understanding of the interdependencies within the West African foreign exchange market, providing insights into the region’s risk management and diversification opportunities.

Using the time-varying parameter vector autoregression (TVP-VAR) method, this study analyzes daily exchange rate returns to capture the dynamic spillover effects and connectedness among the selected currencies. This approach identifies key transmitters and receivers of return shocks, reflecting the evolving interactions among the currencies over time.

The results show that the Sierra Leonean Leone, Cape Verdean Escudo, and West African CFA Franc are significant net transmitters of return shocks. At the same time, the Ghana Cedi, Nigerian Naira, Gambian Dalasi, Guinean Franc, and Liberian Dollar are net receivers, with the Gambian Dalasi being the most affected. These findings suggest relatively low regional spillover connectedness, offering favorable diversification opportunities.

This study provides a comprehensive analysis of the interconnectedness of West African currencies, contributing to the limited literature on this region. The findings have practical implications for investors and policymakers in managing foreign exchange risks and designing interventions to stabilize the market.

The rapid expansion of buy now, pay later (BNPL) services has attracted significant interest from academics, policymakers and industry professionals. This paper aims to explore the BNPL phenomenon from the perspective of consumer behavior, specifically its impact on financial decision-making.

This research is supported by empirical evidence from a survey conducted with 1,457 participants. The survey collected detailed information on participants’ attitudes toward BNPL services, their familiarity with these services and their actual usage patterns. The authors used statistical analysis techniques to examine the relationships between these variables and the likelihood of adopting other consumer credit options. The methodology ensured a comprehensive understanding of how BNPL services influence broader financial behaviors among consumers.

The authors discovered that personal attitudes toward BNPL, along with familiarity and actual use of these services, significantly influence the likelihood of adopting other consumer credit options. The results highlight the critical role that BNPL services play in influencing consumer financial behaviors and the increased adoption of additional credit instruments.

The findings underscore the importance of understanding consumer attitudes and behaviors toward BNPL services, which can inform the development of policies and practices to manage the growth of these services and their impact on financial decision-making.

This study provides novel insights into the influence of BNPL services on consumer financial behaviors, contributing to the literature on consumer credit and financial decision-making by highlighting the specific role of BNPL in shaping credit adoption trends.

This paper aims to analyse the fiscal performance of non-special category states of India.

This study applied a global Malmquist productivity index (GMPI) to measure the state fiscal performance, using eight fiscal indicators to measure the fiscal stance of 17 non-special category states of India over the period 2000–2020.

The findings reveal significant inter-state variations in all the fiscal indicators over the period. Goa, Haryana, Kerala, Chhattisgarh, Odisha and Jharkhand have been the best fiscal performers in recent years. The states Chhattisgarh, Jharkhand and Odisha present an interesting case; their fiscal performance index (productivity) score increased more than 1% during the sample period as compared to other states. This improvement is primarily associated with revenue efficiency, expenditure quality and size of capital outlay.

The conventional Malmquist productivity index uses a geometric mean form of two contemporaneous measures of productivity change and this index faces a potential linear programming infeasibility problem in measuring cross-period directional distance functions. Therefore, productivity growth measured using indexes should be interpreted with caution. Therefore, the results obtained based on the GMPI might be missing the sensitive check.

This study is a pioneering initiative in India, constructing a fiscal performance index to measure and rank the non-special category states of the country based on GMPI, thus addressing limitations in previous studies on index formation techniques and selecting fiscal indicators.

This paper examines the effectiveness of the joint impact of convergence policy measures on macroeconomic stability conditions in the West African monetary zone (WAMZ) countries, using an annual panel data from 1990 to 2021.

It uses the dynamic autoregressive distributed lag (ARDL) approach to exploit the short and long run dynamics macro stability. A composite convergence index was constructed and its impact was examined on three different macroeconomic stability measures representing: internal stability, external stability and overall stability.

Findings from the study suggest that a unit deviation of the convergence policy index from its mean, in the short run, leads to worsening external and overall macroeconomic stability conditions in the zone, but it leads to improvement in the internal macroeconomic stability conditions. However, in the long run, the opposite occurs, a unit deviation of the convergence policy index from its mean, it leads to improvement in both external and overall macroeconomic stability situations and deterioration in internal macroeconomic stability situation.

It is concluded that the convergence policy criteria are effective only in the long run and therefore these policies alone cannot be used to achieve short run macroeconomic stability within the zone. Thus, policymakers should have a second look at how fiscal and monetary policies are conducted and also work to address structural challenges.

The paper examines the effectiveness of the joint impact of convergence policy measures on macroeconomic stability conditions in the WAMZ countries.