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This systematic literature review examines the domain of sports sponsorship involving controversial industries. We delve into the shared patterns, differences and overarching themes prevalent across various dark consumption industries (i.e. alcohol, food and beverages high in fat, salt and sugar, gambling and tobacco).

This study systematically reviews research on controversial sports sponsorships (CSS). Literature searches in Web of Science and Scopus, and additional searches in reference lists resulted in a total of 90 publications meeting the inclusion criteria, which can be grouped into three research clusters: prevalence, impact and (in)appropriateness of CSS.

This review revealed a high prevalence of so-called controversial sponsors in sports, particularly in – but certainly not limited to – soccer. Especially gambling sponsorships have become more prominent in recent years. Ethical concerns surfaced since CSS are positively related to attitudes, preferences, purchase intention and consumption, potentially causing health-harming consequences for children and adults.

This study provides scholars and practitioners with insights to advocate for policy measures curbing CSS.

In light of the identified research gaps, we propose a research agenda to particularly investigate causal relationships between exposure to CSS and its impact by conducting longitudinal and experimental research. Additionally, we propose to establish a consumer-centered framework for processing CSS.

Witness-led techniques, informed by theory, have been recognized as best practice for eliciting information from cooperative eyewitnesses. This study aims to test a self-generated cue (SGC) mnemonic grounded in memory theory and explore the impact of three SGC mnemonics on subsequent recall performance.

Participants (N = 170) witnessed a live staged event and reported their recall using an SGC mnemonic (keywords only, event line or concept map) or control technique (other-generated cues or free recall only). These mock witness accounts were compared in terms of correct and incorrect details reported.

Fewer correct details were reported in the other-generated cue condition compared to the SGC event line (p = 0.018) and SGC concept map (p = 0.010). There were no significant differences between free recall alone and any other condition. The number of inaccurate details reported did not differ between conditions (p = 0.153). The findings suggest that high-quality free recall instructions can benefit recall performance above generic cues (e.g. other-generated cues) but using SGCs to support a structured recall (e.g. concept map or event line) may offer an additional recall benefit.

The findings support previous research that SGCs benefit recall beyond other-generated cues. However, by comparing different cue generation techniques grounded in the literature, we extend such findings to show that SGC generation techniques are not equally effective and that combining SGCs with structured recall is likely to carry the greatest benefit to recall.

Providing a comprehensive literature review to consolidate existing knowledge, advancements and future directions in the field. By synthesizing the state of research, this work enhances the understanding of Prescriptive Maintenance (PsM) methodologies, applications and potential benefits to assist researchers in identifying fruitful avenues for further investigation, and guide practitioners in implementing PsM strategies to improve maintenance outcomes in their industries.

Through a systematic, multistage, specialists audited analysis of peer-reviewed articles, conference papers, books sections, thesis, magazines and industry reports, this work provides a literature review analyzing PsM origins, definitions, enablers, outputs and emerging trends.

PsM concept evolved in recent years representing a shift from traditional maintenance, leveraging prescriptive analytics, data-driven modeling and optimization techniques to enable proactive decision-making and optimal resource allocation. By harnessing PsM, organizations can anticipate and mitigate failures, optimize maintenance actions and enhance asset reliability.

Existing literature points out the following challenges for PsM implementation: prescriptive analytics improvement, scalability of frameworks, development of prototypes, processes integration; PsM maturity assessment; asset health prognostics assertiveness, real-time data availability and adoption of cost functions to grasp business and environmental, social and governance (ESG) costs.

Optimal deployment of resources with little or no human intervention in the maintenance decision process and the creation of new services improving reliability and operational performance.

By optimizing maintenance, not only direct costs diminish but also environmental, social and governance (ESG) related costs decrease by reducing energy waste during equipment’s operating phase, assessing the ecological impact of providing maintenance to operators and line maintenance stakeholders and, consequently, minimizing or even eliminating harmful effects on the environment and the human.

Work consolidating existing PsM-related knowledge and indicating future work is a gap in the literature. This paper fills this gap.

Controversy has long swirled over the claim that Donald Trump's base has deeply rooted authoritarian tendencies, but Trump himself seems to have few doubts. Asked whether his stated wish to be dictator “on day one” of second term in office would repel voters, Trump said “I think a lot of people like it.” It is one of his invariable talking points that 74 million voters supported him in 2020, and he remains the unrivaled leader of the Republican Party, even as his rhetoric escalates to levels that cautious observers now routinely call fascistic.

Is Trump right that many people “like” his talk of dictatorship? If so, what does that mean empirically? Part of the answer to these questions was apparent early, in the results of the 2016 American National Election Study (ANES), which included survey questions that we had proposed which we drew from the aptly-named “Right-Wing Authoritarianism” scale. Posed to voters in 2012–2013 and again in 2016, those questions elicited striking responses.

In this chapter, we revisit those responses. We begin by exploring Trump's escalating anti-democratic rhetoric in the light of themes drawn from Max Weber and Theodor W. Adorno. We follow this with the text of the 2017 conference paper in which we first reported that 75% of Trump's voters supported him enthusiastically, mainly because they shared his prejudices, not because they were hurting economically. They hoped to “get rid” of troublemakers and “crush evil.” That wish, as we show in our conclusion, remains central to Trump's appeal.

Autoethnography as a methodology has proved increasingly attractive to higher education researchers in recent years, particularly those in marginalized positions. This article examines the extant research literature, focusing on the origins and meaning of the approach, how it has been applied in practice and the issues and critiques that have been raised. It concludes that collaborative forms of autoethnography probably offer the best way forward.

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.

The increasingly active data practice in academic environments makes investigating college faculty users’ potential needs for library data services (LDS) essential. Guided by a conceptual framework rooted in the data lifecycle and the extended technology acceptance model, this study aims to investigate the relationship between faculty’s data engagement (DE) and their attitudes toward multiaspect LDS.

An online survey at a master’s college was conducted to collect data regarding faculty data practice, potential needs for data services (DS) and attitudes toward multiaspect LDS. Based on 139 complete and valid responses, the study built three conceptual models to demonstrate faculty users’ potential acceptance of LDS for research and teaching.

Participants’ research and teaching-related DE and background factors directly or indirectly affect their attitudes toward general DS, an institutional data repository if available and repository-based data curation.

The study contributes to DS and librarianship research by offering three conceptual models to explore LDS’ holistic support for faculty research and teaching. Moreover, the study provides insights into faculty’s job-related DE factors and calls for future research on effective DS in more college communities.

While comprehensive study abroad preparation encompasses a wide array of elements, the purpose of this study is to highlight a short-term study abroad (STSA) teacher’s preparatory learning experience documented through self-reported video diary reflections.

The study uses a self-study methodology, using a series of self-recorded video diaries focused on preparation learning. The video diaries serve as visual and auditory self-reflective stimuli, providing insights into preparation practices that may benefit novice STSA teachers.

The findings highlight the importance of understanding both the “self” and ensuring early expectations through video reflections, which can enhance traditional methods in STSA professional development.

This study presents an alternative STSA professional development approach using self-recorded teacher video diaries to advance practice and share insights.

This paper aims to examine the stock market performance of knowledge-intensive employee-owned firms.

It constructs a portfolio comprising stocks of employee-owned wealth management companies listed in the UK Employee Ownership Index. A simple equal-weighted portfolio simulation strategy with annual rebalancing is employed and returns are analysed for the period 01.2002–12.2015.

The employee-owned firms consistently generate significantly higher returns, averaging 13% per annum. During favourable market conditions, the returns are even more significant at 16.40% higher than the market average annual returns. The outperformance persists in single-year and five-year investment periods, full and sub-sample periods, including bullish, stable and challenging economic times and even at high transaction costs and zero dividends. This superior performance is linked to a positive feedback loop created by homogeneous knowledge-workers who are incentivised to perform better in employee-owned business setting through participative decision-making and exhibiting risk aversion skills.

Adoption of the employee ownership model of running a business can be highly rewarding within knowledge-intensive firms. This study emphasises the need for a comprehensive database of employee-owned companies, which is currently lacking in the UK.

No prior study could be found to have studied the relationship between employee-owned knowledge-intensive firms and their stock market performance.