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This paper presents a realist evaluation of leadership within an integrated care system (ICS) in England. This paper aims to examine which aspects of leadership are effective, for whom, how and under what circumstances.

Realist evaluation methodology was used, adopting prior realist review findings as the theoretical framework to refine explanations of how and why leadership within an ICS is effective. Between January and November 2023, 23 interviews with ICS leaders took place, alongside 7 meeting observations and documentary analysis. The Realist And Metanarrative Evidence Syntheses: Evolving Standards (RAMESES) guidance informed the study design, conduct and reporting.

The findings highlight two overarching infrastructural contexts influencing leadership in ICSs: the impact of the post-COVID-19 pandemic legacy and the differences between health and social care regulatory and financial environments. Findings demonstrate that ICS leaders identified a strong sense of purpose as crucial for guiding decisions and creating a psychologically safe environment for open, honest discussions, fostering calculated risk-taking. Whilst a shared vision directed priority setting, financial pressures led to siloed thinking. Leadership visibility was linked to workforce morale, with supportive leadership boosting morale amidst evolving ICS landscapes and confidence in data-driven decisions supported prevention activities. However, financial constraints hindered responsiveness and innovation in addressing health inequalities.

By examining ICS leadership post-COVID-19 pandemic and amidst varying regulatory and financial environments, this study contributes to the emerging literature on systems leadership and offers practical guidance for leaders navigating the complexities of integrated care.

Precarious workers in academia represent most employees in higher education institutions (HEIs), and women and historically excluded groups are overrepresented in these positions, oppressed by intersecting inequities, such as sexism and racism. There is a need to comprehensively understand how precarity operates within academia from an intersectional perspective and how it oppresses marginalized and precarious workers.

Following the PRISMA guidelines, this paper systematically reviewed 22 articles that discuss academic precarity through an intersectional lens.

Studies have shown that (1) the uncertainty and insecurity in modern academia are driven by global forces and ongoing crises; (2) systemic intersectionality entrenched in HEIs influenced the shaping of their academic experiences and positionalities; and (3) intersectionality could be used as a reflexive tool to resist the precarious academy.

This paper is the first systematic review examining the intersectionality in precarious academia. By synthesizing articles highlighting precarity and intersectionality in academia, the paper contributes to theories of academic capitalism and intersectionality and offers comprehensive and critical implications for research and practice in higher education. This study illuminates how neoliberalism, global capitalism and intersecting inequities are deeply rooted in academia and how academic workers could challenge such issues.

This study aims to test the effect of a falsely balanced message (i.e. exposure to two opposing arguments) on perceived expert consensus about an interrogation practice.

Participants (N = 254) read a statement about minimization tactics and were assigned randomly to one of four conditions, where true expert consensus about the tactic was either presented as high or low, and a balanced message (i.e. read two opposing arguments about the factual nature of the tactic) was present or absent.

Results showed that exposure to balanced messages led to less perceived expert consensus; especially when true expert consensus about the tactic was high. Exposure to balanced messages also reduced public support for experts testifying about the interrogation tactic.

Such findings suggest that pairing expert knowledge (i.e. empirical evidence) about investigative interviewing issues with denials might be powerful enough to override scientific beliefs about important matters in this field.

Researchers in the field of investigative interviewing have put much effort into developing evidence-based interviewing practices and debunking misconceptions on the field. While knowledge mobilization is particularly important in this consequential, applied domain, there are some individuals who aim to hinder the advancement and reform of investigative interviewing. Falsely balancing scientific findings (e.g. minimization tactics imply leniency) with denials is but one of many practices that can distort the public’s perception of expert consensus on an issue. It is crucial for investigative interviewing researchers to recognize such strategies and develop ways to combat science denialism.

Technological innovation is crucial for businesses to achieve development and profitability through enhancing core capabilities and differentiating competitive advantages. The key to organisational survival is boosting innovation performance focused on technological innovation, as SMEs lack resources and competencies compared to large companies. Entrepreneurship is a topic of active research to overcome SMEs’ resource and size limits. This is because entrepreneurs’ capabilities are considered more important in small and medium-sized enterprises closely related to corporate success than in large enterprises that can receive organisational support. In addition, a company’s holding capacity is a direct driver of creating differentiated competitiveness because it can pursue product differentiation through high levels of market capabilities and technology capabilities. Therefore, this study attempts to demonstrate entrepreneurship and technological innovation for SMEs. Reviewing previous studies, the authors derive the organisational capabilities needed by the organisation for innovation and examine how these organisational capabilities (technological, market, and operational capabilities) relate to entrepreneurship and technological innovation.

This study aims to develop a theoretical framework that marketing practitioners and scholars can adopt to enhance their understanding of how firms can effectively deploy and use digital human avatars as part of their global digital marketing strategy. By doing so, we inform investors of ongoing digital transformations of marketing practices that will equip marketeers to provide scalable, tailored, reliable and relevant digital self-service interactions to users, consequently improving the user/customer experience.

Thematic analysis was used to discover factors to enable the successful implementation of digital human avatars, drawing on in-depth interviews with fourteen executives of digital human avatars developer companies worldwide and analysis of ten podcasts and webinars with artificial intelligence (AI) experts.

Digital human avatars revitalise the international dynamic marketing capabilities (IDMCs) of firms by integrating advanced technologies that transform user interactions, improve engagement and facilitate knowledge acquisition, dissemination and usage across various sectors and business units globally. This integration promotes a dynamic approach to international brands, customer relationships and marketing knowledge management capabilities, offering profound value to users and firms.

Our first limitation is a lack of diversity in data sources. As digital human avatars are an emerging field, we had to limit our study to 14 experts in AI and 10 podcasts. While this method provides deep insights into the perspectives of those directly involved in the development and implementation of digital human avatars, it may not capture the views of end-users or consumers who interact with these avatars, which can be an avenue for further research. Our second limitation is the potential bias in the interpretation of our interview data and podcasts. This study’s approach to data analysis, where themes are derived from the data itself, carries a risk of subjective interpretation by the researchers. Future studies are encouraged to investigate the impact of digital human avatars across different organisational contexts and ecosystems, especially focusing on how these technologies are integrated and perceived in various international markets.

The novel framework has direct implications for innovators and marketing practitioners who aim to adopt digital human avatars in their marketing practices to enhance the effectiveness of international marketing strategies.

The adoption of digital human avatars can alleviate loneliest elderly and vulnerable people by being a companion. The human-like characteristics can impact sense of presence and attachment.

The novelty of our study lies in exploring the characteristics of technologies and practical factors that maximise the successful adoption of digital human avatars. We advance and contribute to the emerging theory of avatar marketing, IDMCs and absorptive capacity by demonstrating how digital human avatars could be adopted as part of a firm’s global digital marketing strategy. We focus specifically on six dimensions: outcomes and benefits, enhancements and capabilities, applications and domains, future implications, foundational elements and challenges and considerations. This framework has direct implications for innovators and marketing practitioners who aim to adopt digital human avatars in their marketing practices to enhance the effectiveness of international marketing strategies.

This study aims to analyze the university environment’s role in the intention–action gap (IAG)of highly successful startup founders in an emerging market.

Using multiple regression analysis, this study analyzed data collected from 314 founders representing 99 successful startups (289 valid observations), renowned for their high funding and value operating in an emerging market, Brazil.

The results demonstrate that extracurricular activities and exchange programs lead to a reduced IAG while living in a significant economic center extends it. Computer science and industrial engineering students show reduced IAGs. Studying together with future co-founders also leads to reduced gaps.

The study contributes to the microfoundations theory by presenting new interactions between students and the university environment that influence entrepreneurial action. Limitations are related to the sample, limited to Brazilian founders and selected only through venture capital firms’ filters.

This study also provides practical insights to the universities’ leaders on how they can create programs that improve the rate of startup creation, potentially leading to successful companies.

This study investigates the association between the university role and the entrepreneur’s IAG in emerging markets. The entrepreneur’s IAG is still a relatively new phenomenon explored in entrepreneurship. Even less understanding and limited empirical data exist on successful startups from emerging markets. This study drew on the microfoundations literature to answer how universities in emerging markets could address specific resources and entrepreneurship programs to reduce the IAG among students and alumni.

While the average cost of debt capital can be calculated from historical financial statement data by dividing the interest paid each year by the total level of debt, this average cost of debt provides little information regarding the true cost of acquiring additional debt capital, and hence, its use is potentially problematic in financial decision-making. This study focuses on the linkage between observed changes in the average interest rates calculated from financial statements (balance sheet and income statement) and the marginal cost of borrowing or the cost of acquiring new debt. Motivated by the capital asset pricing model (CAPM), the marginal cost of capital is modeled as a function of a risk-free interest rate (the return on Moody’s Aaa bonds), returns on the S\&P stock index capturing overall market returns and a portfolio of agricultural stocks to represent farm sector-specific risks.

Using a unique dataset constructed from United States Department of Agriculture (USDA) state-level Financial Performance of the Farm Sector data for the years 1960 through 2003 and state-level Agricultural Resource Management Survey (ARMS) data for the years 2003–2014 and Bayesian methods, we model the observed interest rate as an autoregressive function controlling for changes in debt and key rates of return in the general economy.

The results indicate that the marginal interest rate is a function of the Aaa corporate bond rate and the stock market. We also find evidence of a negative relationship between returns to a portfolio of agricultural stocks and the marginal interest rate. Overall, the findings suggest that the imputed interest rate frequently misrepresents the marginal cost of debt capital.

Most farm financial datasets allow for the analysis of the farm firm’s average interest rate. However, farmers make decisions based on the marginal cost of credit – the interest rate on a newly issued note. This study estimates this marginal interest rate for the 15 states for which the ARMS data are representative for the years 1960 through 2014 and compares the estimated marginal interest rate with the imputed average interest rate.

In India, more than 21.9% of the total population is below the poverty line, which compelled the government to initiate several policies for alleviating poverty and food insecurity. It can be argued that often non-poor households may become food insecure due to their irrational expenditure behaviour. The widespread consumerism and commercialism in rural India as a result of globalization often drive rural households to spend more on non-food items than food items. As a result, it is frequently observed that non-poor farmers excluded from the social security programs are highly malnourished as a result of food insecurity, which pushes them back into the poverty trap. This study reviews critically the methodologies applied to measure household poverty and food insecurity and examine the relationship between the two using primary data collected from two villages of the Balasore district of Odisha whose major livelihood relies on agriculture using the m-logit model for data analysis. Results show even households living above the poverty line suffer from the problem of food insecurity. About 20.5% of the non-poor are food insecure in the study villages. The study also finds a location-specific spatial autocorrelation of Multidimensional Poverty Index (MPI) and headcount ratio among the districts of the state using Moran's I. Hence, there is a need for properly targeted policy interventions and to revise the methodologies applied to measure household poverty and identify beneficiaries so that non-poor households are not deprived of food security programmes.

Drawing on the leader–member exchange (LMX) theory, we examine the role of empowering leadership in employee organizational commitment and the organizational citizenship behavior. Furthermore, we examine if these relationships are explained by factors such as follower trust in the leader and leader authenticity.

We draw on survey data from 153 individuals serving the hospitality industry sector. The data are analyzed using structural equation modeling.

Results show that trust in a leader positively mediates the relationship between empowering leadership and organizational citizenship behavior as well as organizational commitment. We also find a direct association between empowering leadership and the two organizational outcomes. However, we do not find evidence of the moderating role of leader authenticity in empowering leadership and trust in leader–leader relationship.

This paper brings to light the significance of empowering leadership, especially for hospitality workers who often operate in stressful and deeply hierarchical organizational environments. Our study findings provide a pathway for how supervisors should follow an empowering form of leadership annculcate trust in employees for better organizational outcomes. The findings indicate significant theoretical and practical implications and offer recommendations for future research.

Considering the frequency of extreme events, enhancing the global financial system's stability has become crucial. This study aims to investigate the contagion effects of extreme risk events in the international commodity market on China's financial industry. It highlights the significance of comprehending the origins, severity and potential impacts of extreme risks within China's financial market.

This study uses the tail-event driven network risk (TENET) model to construct a tail risk spillover network between China's financial market and the international commodity market. Combining with the characteristics of the network, this study employs an autoregressive distributed lag (ARDL) model to examine the factors influencing systemic risks in China's financial market and to explore the early identification of indicators for systemic risks in China's financial market.

The research reveals a strong tail risk contagion effect between China's financial market and the international commodity market, with a more pronounced impact from the latter to the former. Industrial raw materials, food, metals, oils, livestock and textiles notably influence China's currency market. The systemic risk in China's financial market is driven by systemic risks in the international commodity market and network centrality and can be accurately predicted with the ARDL-error correction model (ECM) model. Based on these, Chinese regulatory authorities can establish a monitoring and early warning mechanism to promptly identify contagion signs, issue timely warnings and adjust regulatory measures.

This study provides new insights into predicting systemic risk in China's financial market by revealing the tail risk spillover network structure between China's financial and international commodity markets.