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Risk assessment in elder abuse is usually considered an additive process; risk factors are viewed as independent, and the higher the number of risk factors, the higher the risk. This study aims to explore the effect of the interaction between cognitive structures (episodic memory, perceptual speed, verbal fluency, executive function) and functional dependency on elder abuse.

The authors collected data from 62 participants, aged between 64 and 94 years old, in the Minho region of Portugal. Face-to-face interviews were conducted to apply the assessment procedures.

Results showed that emotional abuse is predicted by episodic memory and phonemic fluency, financial abuse by perceptual speed and phonemic fluency and neglect by perceptual speed. Moderation analysis showed that these effects were greater for older adults with higher dependence on movement and lower dependence on hygiene and daily organization. This study supports the hypothesis that the risk of elder abuse is interactive, highlighting a limitation of current risk assessment procedures.

The current study explores the possibility of risk factors for elder abuse interacting. Understanding how risk factors interact can help to design more accurate measures of the risk of elder abuse.

Expanding on the real-world financial market framework and considering the current market turmoil, with cryptocurrencies (where contracts for difference (CFDs) are extremely common) (Hasso et al., 2019) displaying unprecedented volatility, the authors aim to test in an online laboratory setting whether displaying a risk warning message is truly effective in reducing the level of risk taken and whether the placement of this method makes a difference.

To explore the impact of risk disclosure framing on risk-taking behavior, the authors conducted an online pair-wise lottery choice experiment. In addition to manipulating risk awareness through the presence or absence of risk warning messages of varying intensity, the authors also considered dynamic inconsistency, cognitive ability and questionnaire-based financial risk tolerance (FRT) scores. The authors aimed to identify potential relationships between these variables and experimentally elicited risk aversion. The authors' study offers valuable insights into the complex nature of risky decision-making and sheds light on the importance of considering dynamic inconsistency in addition to risk awareness and aversion.

The authors' results provide statistical evidence for the efficacy of informative and very salient messages in mitigating risky decision, hinting at several policy implications. The authors also provide some statistical evidence in support of the relationship between cognitive abilities and risk preferences. The authors detect that individual with low cognitive abilities scores display great risk aversion.

This study investigates the impact of risk warning messages on investment decisions in an online laboratory setting – a unique approach. However, the authors go beyond this and also examine the potential influence of dynamic inconsistency on decision-making, adding further value to the literature on this topic. To ensure a comprehensive understanding of the participants, the authors collect data on cognitive ability and FRT using questionnaires. This study provides a simple and cost-effective framework that can be easily replicated in future research – a valuable contribution to the field.

The present study aimed to explore the socio-psychological linkages between perceived job insecurity, loneliness, social support, depression, and interpersonal misconduct among hotel workers during a global crisis. The primary motivation behind this research was the significant problem of increased occupational stress resulting from the negative consequences of the pandemic on all hotel employees, including frontline workers and management personnel. This study aimed to investigate the impact of the pandemic on occupational stress within the hotel sector.

This research obtained 269 original survey data from employees in the Indian hotel industry by distributing a questionnaire and employing a convenience sampling method. Subsequently, the data were examined using (SEM).

The research findings suggest that there is a positive correlation between interpersonal deviance and depression. Additionally, this study demonstrated that social support can alleviate loneliness but has no significant association with depression.

This study can help hotel managers create guidelines that address the perceived insecurity and psychological issues faced by employees.

By understanding the psychological position of their employees, hoteliers can implement strategies to mitigate the negative impacts of the pandemic on their workforces.

This study aims to analyze the effect of cognitive load and social value orientation on managers’ preferences when they face with two types of restructuring choices in financially distressed firms: the first belonging to the family of organizational restructuring (massive layoffs) and the second to the family of financial restructuring (debt increases).

The authors investigate experimentally the impact of managers’ cognitive load and social value orientation on the decision to restructure leveraged buyout (LBO) firms in financial distress by using either massive layoffs or debt increases.

By investigating the impact of managers’ cognitive load and social value orientation on the restructuring decision of an LBO firm in financial distress, the research reveals that, on average, cognitively loaded managers prefer massive layoffs over increased debt levels. The massive layoffs seemingly provide a relatively easier way to avoid conflict with influential, residual claimants. In contrast, social value–oriented managers actively avoid massive layoffs and prefer to increase debt.

These results imply that the performance mechanisms emphasized to improve agency relations, for example, in LBOs, have their own limitations during periods of financial distress. This study shows that one of these limits is related to cognitive distortions and personality traits.

In this research, the originality lies in understanding how managers’ internal factors affect their restructuring decision-making, in the case of LBO firms in financial distress.

This study explores the configurations of management control systems (MCSs) while taking into account entrepreneurial cognition styles (ECSs) in small and medium enterprises (SMEs). The objective is to understand the impact of ECS on deployment and identify the various modes of MCS configurations employed by SMEs. The authors draw on and synthesise two theoretical perspectives relating to cognition and management control packages to understand the associations between ECS and MCS employed by SMEs in managing their business. This study was conducted using a quantitative approach that utilises a questionnaire survey to collect cross-sectional data from 150 SMEs. The authors uncovered three cognitive styles: knowing (e.g. preciseness), planning (e.g. organising), and creativity (e.g. innovativeness). Furthermore, five configurations of MCS utilised by SMEs were identified: customer focus, performance monitoring, administrative focus, strategic focus, and development focus. By combining both analyses, the authors discovered three constellations of significant association between ECS and MCS characterised by Cluster 1’s cohesive integration approach, Cluster 2’s revealing strategic approach, and Cluster 3’s multifaceted exploration. The study is significant because it uncovers the complex relationship between ECS and MCS configurations, highlighting their interdependence within the institutional context. Using a cognitive view, the authors explore how the cognitive styles of entrepreneurs facilitated imprinting institutional context into MCS configurations. These insights enable us to envisage that ECS is not mutually exclusive but forms a continuum that provides more plausible explanations that relax the direct universal relationship between MCS configurations and contextual factors.

The sustainable development of contractor organizations depends highly on bidding decision-making of projects. This current study, leveraging the risk decision-making theory, attempts to elucidate the process of contractors’ bid/no-bid decision-making and reveal how the process is influenced by their perception of risk. In particular, this study aims to explore the multiple mediating effects of contractors’ trust in owners and risk perception in explaining the relationship between contractual governance outlined in owners’ bidding documents and the bid/no-bid decisions.

A questionnaire survey was used to obtain data from the Chinese construction industry. The PLS-SEM technique was employed to analyze a dataset of 557 available questionnaires.

The findings indicate that (1) the contractual governance provided by owners’ bidding documents positively impacts contractors’ bid/no-bid decisions; (2) both risk perception and trust serve as multiple mediators in this relationship and (3) trust mediates the relationship between contractual governance and contractors’ risk perception.

Drawing upon the risk decision-making theory, this study proposes a multiple mediation model for understanding contractors’ bid/no-bid decision-making processes. It contributes to a better understanding of contractors’ bidding decision-making mechanisms, thereby offering theoretical guidance for contractors to make reasonable and informed risk decisions.

A notable number of young people self-harm, with only a minority receiving professional support. Evidence suggests that therapy can help recovery from self-harm, but little is known about the experiences of those who self-harm and participate in therapy delivered via videoconferencing.

Risk assessments were examined for evidence of self-harm and used to identify two groups for analysis: young people who had self-harmed in the past six months and those who had not. A mixed methods analysis was then conducted to examine process and outcome data for these two groups. Data included a number of sessions attended, late-cancelled and missed without notice; and patient-reported outcome measure scores (Young Person-Clinical Outcomes in Routine Evaluation and Revised Children’s Anxiety and Depression Scale). End-of-treatment reports were subsequently analysed using thematic analysis.

Those with current self-harm risk appeared to start therapy with lower well-being. No notable differences in progress were found between groups on quantitative outcomes. There was greater reporting of poorer clinical outcomes in the reports of those with current self-harm risk, including two unique types of barriers to effective therapy: “general difficulties” (e.g. poor well-being limiting engagement, specific components of therapy being challenging) and “CBT was not preferred”.

Lower baseline well-being could explain the greater ongoing care needs and lower well-being post-therapy among those with current self-harm risk, despite both groups appearing to make similar levels of therapeutic progress quantitatively. Recent self-harm does not appear to reduce the utility of videoconferencing cognitive behavioural therapy; however, clients’ individual needs should be carefully considered.

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

Intentions are central to entrepreneurial thinking and thus entrepreneurial action yet we have not explored the different pathways of how intent evolves. How does an easily assessed measure of cognitive style influence how entrepreneurs develop their intentions?

We examine how cognitive style interacts with entrepreneurial intentions testing the model separately with subjects scoring as Intuitives or Analytics on cognitive style, plus nationality and gender as covariates with entrepreneurial intensity as a prospective moderator, using 528 university students from Norway, Russia and Finland.

Cognitive style does moderate the intentions model. For intuitives, country influenced social norms and entrepreneurial intensity proved a moderator. For analytics, neither perceived desirability, country, nor entrepreneurial intensity were significant.

We will replicate these findings in different samples, especially non-WEIRD settings. It will also be useful to test alternate measures of cognitive style and other likely moderators.

We offer diagnostics for educators and ecosystem actors given that our findings suggest intriguing differences in the entrepreneurial mindset.

Understanding multiple pathways exist to entrepreneurial intent and thus action helps policymakers and entrepreneurial champions better able to help nurture entrepreneurs and thus entrepreneurship in their communities.

Cognitive style has dramatic effects on the specification of the formal intentions model arguing for multiple pathways to entrepreneurial intent. For example, two entrepreneurs might arrive at the same intention but through very different processes because they differ in cognitive style.

This study analyzes the role of regional cooperative banks in identifying and financing small and medium-sized enterprises (SMEs) from a proximity perspective. Access to finance is a major challenge for SMEs. Regional cooperative banks can remove this barrier based on cooperative bank's characteristics and geographic proximity to SMEs. Understanding the interplay between these financial actors and firms can contribute to a better support of SMEs development.

The results are based on a case study of eight SMEs located in southwestern France. Interviews were conducted with two regional cooperative funds and eight SMEs. The interview guide included questions related to the company, the projects financed and how financing was accessed.

Results reveal that a combination of three forms of proximity allows regional cooperative banks and SMEs to establish effective financing operations. They show that regional cooperative banks are key players in the existing financing mechanisms for SMEs. Such financing is often used to gain access to larger players at a later stage. The findings suggest the need for public policies that promote the integration of financing actors in regional ecosystems to advance SMEs' development.

This article examines how SMEs access financing, with a focus on regional cooperative banks, which have received little attention in the literature. Moreover, the relationships between these actors are studied through the lens of proximity. Regional cooperative banks are able to finance projects that may have been overlooked by traditional banks due to trust-building local dynamics.