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Researchers who work in partnership with older adults in participatory studies often experience various advantages, but also complex ethical questions or even encounter obstacles during the research process. This paper aims to provide insights into the value of an intersectional lens in participatory research to understand how power plays out within a mixed research team of academic and community co-researchers.

Four academic researchers reflected in a case-study approach in a dialogical way on two critical case examples with the most learning potential by written dialogical and via face-to-face meetings in duos or trios. This study used an intersectionality-informed analysis.

This study shows that the intersectional lens helped the authors to understand the interactions of key players in the study and their different social locations. Intersections of age, gender, ethnicity/class and professional status stood out as categories in conflict. In hindsight, forms of privilege and oppression became more apparent. The authors also understood that they reproduced traditional power dynamics within the group of co-researchers and between academic and community co-researchers that did not match their mission for horizontal relations. This study showed that academics, although they wanted to work toward social inclusion and equality, were bystanders and people who reproduced power relations at several crucial moments. This was disempowering for certain older individuals and social groups and marginalized their voices and interests.

Till now, not many scholars wrote in-depth about race- and age-related tensions in partnerships in participatory action research or related approaches, especially not about tensions in research with older people.

This study aims to develop a conceptual model to understand how customer knowledge management (CKM) affects fitness club membership renewal through the mediation of relationship quality.

Data were collected outside of fitness clubs using a systematic sampling method. A total of 224 valid responses were collected. Structural equation modelling was used to evaluate the relationship between the constructs of the research model.

The results indicate that both knowledge from customers and knowledge for customers have a positive influence on customer satisfaction and customer trust. Among them, knowledge for customers has a stronger influence on customer satisfaction while knowledge from customers has a greater influence on customer trust. Additionally, three dimensions of relationship quality (customer satisfaction, customer trust and customer commitment) positively influence membership renewal intention with customer commitment exhibiting the greatest influence on it.

This study combines the theories of CKM and relationship quality management to explain why members will renew their service contracts. By using fitness clubs as an example, this research extends the authors' understanding of how knowledge from and for customers can influence customers' attitudes and behavioural intentions towards service companies.

This chapter addresses one of the most crucial areas for critical thinking: the morality of turbulent markets around the world. All of us are overwhelmed by such turbulent markets. Following Nassim Nicholas Taleb (2004, 2010), we distinguish between nonscalable industries (ordinary professions where income grows linearly, piecemeal or by marginal jumps) and scalable industries (extraordinary risk-prone professions where income grows in a nonlinear fashion, and by exponential jumps and fractures). Nonscalable industries generate tame and predictable markets of goods and services, while scalable industries regularly explode into behemoth virulent markets where rewards are disproportionately large compared to effort, and they are the major causes of turbulent financial markets that rock our world causing ever-widening inequities and inequalities. Part I describes both scalable and nonscalable markets in sufficient detail, including propensity of scalable industries to randomness, and the turbulent markets they create. Part II seeks understanding of moral responsibility of turbulent markets and discusses who should appropriate moral responsibility for turbulent markets and under what conditions. Part III synthesizes various theories of necessary and sufficient conditions for accepting or assigning moral responsibility. We also analyze the necessary and sufficient conditions for attribution of moral responsibility such as rationality, intentionality, autonomy or freedom, causality, accountability, and avoidability of various actors as moral agents or as moral persons. By grouping these conditions, we then derive some useful models for assigning moral responsibility to various entities such as individual executives, corporations, or joint bodies. We discuss the challenges and limitations of such models.

The purpose of this study is to compare market reactions to the change in the demand by index funds between large and small company stocks by examining the transition of the S&P 500, S&P 400 MidCap and S&P 600 SmallCap indexes from market capitalization to free-float weighting. This unique information-free event allows not only avoiding confounding information signaling and investor awareness effects but also comparing the effect of the decrease in demand on stocks of different sizes.

This study uses the event study methodology to calculate abnormal returns and trading volume around the full-float adjustment day. It also tests for significant changes in institutional ownership and liquidity. Multivariate regressions are used to examine the relation of liquidity changes and price elasticity of demand to the cumulative abnormal returns around the full-float adjustment day.

This study finds significant decreases in stock price accompanied with significant increases in trading volume on the full-float adjustment day, and significant gains in quasi-indexer institutional ownership and liquidity. The main finding is that cumulative abnormal returns around the event period are related to changes in the number of quasi-indexer and transient institutional shareholders, not to changes in liquidity or price elasticity of demand.

This study provides the first comprehensive comparison analysis of stock market reactions to the decline in demand between large and small company stocks. As an important implication for future studies of the index effect, changes in institutional ownership should be considered in the analysis.

Over 2.7 million workers are employed in the UK construction industry and with the fragmented nature of the construction sector; cases of poor mental health of workers are on the increase. This upsurge in the number of workers experiencing poor mental health could directly impact construction safety with significant financial adverse consequences on employers and the UK economy. Studies have identified lapses within the construction sector emphasising the lack of transparency regarding reporting of mental health and well-being of construction workers due to the inadequate engagement from employers and the lack of genuine leadership commitment to tackle mental health.

This study adopted a non-probability purposive sampling strategy, using a self-selected sample. A self-administered questionnaire benchmarked against the mental health core and enhanced standards tools by the “Stevenson/Farmer review of mental health and employers” served as the basis for the methodology. A total of 106 industry managers from highways, construction, maritime, utilities, home building, rail and haulage/fleet were involved in this study.

The findings indicate that the industry is making good strides towards addressing mental health issues; poor mental health have significant financial burdens on businesses and the economy; some contractors have mental health initiatives and programmes in place; there is inconsistency of support available to employees; some contractors now integrate leadership training; the level of engagement vary based on the strategy and action plan adopted by organisations; different mechanisms are adopted for monitoring mental health issues, and there are cross-industry initiatives.

A limitation of this study is the number of participants which is not representative of the entire UK construction workforce. Therefore, the findings from this study as much as it presents some understanding of employee mental health and well-being cannot be overtly generalised across multiple industries, different geographic regions or contexts.

Employers should have a clear representation of the mental health of their employees to help them understand what affects worker’s mental well-being and how they can support them. Disregarding the multifaceted causes of mental ill-health due to the perceived financial implications could be more devastating for the industry.

This study sheds new light on the personality trait and provides evidence regarding the relation between narcissism and desirable accounting practices, specifically the impact of CEO narcissism on accounting conservatism.

The authors test the relation between CEO narcissism and accounting conservatism for a sample of 907 US companies and their corresponding CEOs for the period between 2010 and 2018. The authors apply three established models of accounting conservatism and measure executives' narcissism using a non-intrusive approach ubiquitous in the literature.

The authors find that CEO narcissism is associated with speculative accounting practices in the form of timely recognition of positive news and more prudent financial reporting of anticipated negative news. The authors provide the first empirical evidence that, despite its well-known negative effects on corporate financial reporting, executive narcissism can also produce positive outcomes.

While managerial overconfidence has received much attention, the effects of executives' narcissism are still widely unexplored (Chatterjee and Hambrick, 2007). The authors thus contribute to the literature by investigating the relationship between CEOs' narcissism and accounting conservatism. The authors conjecture CEO narcissism should have a twofold effect on prudent financial reporting. On the one hand, CEOs' narcissism should be associated with low levels of unconditional conservatism due to excessively fast good news recognition. On the other hand, narcissistic executives should be associated with early recognition of negative news and hence with higher levels of conditional conservatism.

The aim of the study is to assess the extent to which Taoist philosophy offers thematic and ethical insights relevant to current global crises, including climate change, food insecurity, renewed conflict and increased authoritarianism.

A critical review of specific verses from the Tao Te Ching and research sources relevant to them is carried out.

Taoist philosophy, of ancient origins, is surprisingly relevant to modern crises. While not offering definitive answers, it does provide thematic and ethical insights for reorienting governance in more productive ways.

While there is a large literature on Taoist philosophy itself, there is a paucity of research articles on the modern relevance of Taoist philosophy to pressing current issues. The article brings together and assesses these sources, considering relevant research.

The purpose is to replicate and extend Ambulkar et al.’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.

Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.

Two of four of Ambulkars et al.’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.

Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

Using the lens of upper echelons theory, this study examines the degree to which National Collegiate Athletic Association athletic department performance outcomes are associated with the personal characteristics and experiences of the athletic director leading the organization.

The authors match organizational performance data with athletic director and institutional characteristics to form a robust data set spanning 16 years from the 2003–04 to 2018–19 seasons. The sample contains 811 observations representing 136 unique athletic directors. Fixed effects panel regressions are used to analyze organizational performance and quantile regression is used to analyze organizational revenues.

The authors fail to uncover statistically significant evidence that athletic director personal characteristics, functional experience and technical experience are associated with organizational performance. Rather, the empirical modeling indicates organizational performance is primarily driven by differentiation in the ability to acquire human capital (i.e. playing talent). The results also indicate that on average, women are more likely to lead lower revenue organizations, however, prior industry-specific technical experience offsets this relationship.

In opposition to upper echelons research in numerous settings, the modeling indicates the personal characteristics and experiences of the organization's lead executive are not an economically relevant determinant of organizational performance. This may indicate college athletics is a boundary condition in the applicability of upper echelons theory.