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Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an understudied issue in the literature, namely, how users perceive the threat of and decide to use a threatening AI application. In particular, it examines the influencing factors and the mechanisms that affect an individual’s behavioral intention to use facial recognition, a threatening AI.

The authors develop a research model with trust as the key mediating variable by integrating technology threat avoidance theory, the theory of planned behavior and contextual factors related to facial recognition. Then, it is tested through a sequential mixed-methods investigation, including a qualitative study (for model development) of online comments from various platforms and a quantitative study (for model validation) using field survey data.

Perceived threat (triggered by perceived susceptibility and severity) and perceived avoidability (promoted by perceived effectiveness, perceived cost and self-efficacy) have negative and positive relationships, respectively, with an individual’s attitude toward facial recognition applications; these relationships are partially mediated by trust. In addition, perceived avoidability is positively related to perceived behavioral control, which along with attitude and subjective norm is positively related to individuals' intentions to use facial recognition applications.

This paper is among the first to examine the factors that affect the acceptance of threatening AI applications and how. The research findings extend the current literature by providing rich and novel insights into the important roles of perceived threat, perceived avoidability, and trust in affecting an individual’s attitude and intention regarding using threatening AI applications.

The purpose of this paper is to explore the factors affecting the intention of social networking sites (SNS) users to comply with government policy during the COVID-19 pandemic.

Based on the theory of appraisal and coping, the research model is tested using survey data collected from 326 SNS users. Structural equation modeling is used to test the research model.

The results show that social support has a positive effect on outbreak self-efficacy but has no significant effect on perceived avoidability. Government information transparency positively affects outbreak self-efficacy and perceived avoidability. Outbreak self-efficacy and perceived avoidability have a strong positive impact on policy compliance intention through problem-focused coping.

The results suggest that both government and policymakers could deliver reliable pandemic information to the citizens via social media.

This study brings novel insights into citizen coping behavior, showing that policy compliance intention is driven by the ability to cope with problems. Moreover, this study enhances the theoretical understanding of the role of social support, outbreak self-efficacy and problem-focused coping.

The purpose of this paper is to describe research exploring consumer responses to potential changes in food-related practices to mitigate and adapt to climate change.

Six focus groups explored consumer responses to measures to intended to mitigate the emissions from, and adapt to the impacts of climate change. These included: meat reduction, greater reliance on seasonal British food, meal replacement tablets, laboratory grown meat, communal eating houses, genetically modified food and food waste. Practice theory provided the lens to interpret the changes to meanings, competences and materials associated with food consumption.

Changes that could be assimilated within existing competencies were viewed more positively, with lack of competence a key barrier to accommodating change. At present, climate change and sustainability do not influence purchasing decisions. Policy measures delivering multiple benefits (“win-wins”), of which environmental performance may be one, stand an improved chance of establishing more sustainable practices than those focusing exclusively on environmental drivers.

Awareness of the role of sustainable food systems in the context of anthropogenic climate change is growing. Whilst scientific and technological research explores methods for reducing emissions and building resilience in food supply chains to changes in climate, there is comparatively little study of how consumers perceive these proposed “solutions”. This research provides a comprehensive overview of consumer responses to potential changes in eating practices related to climate change mitigation and adaptation and is of value to policy makers, academics and practitioners across the food supply chain.

The advent of extreme automation from new technologies such as artificial intelligence portends a massive increase in unemployment. The psychological impact of this threat on the workforce is critically important. This paper aims to examine the functioning of individuals' anxiety buffers in response to this threat.

A two-stage mixed-methods design is used. In stage 1, qualitative data are gathered through semi-structured interviews. In stage 2, quantitative data are collected through two experiments to assess the psychological impact of exposure to the threat.

Exposure to the threat of extreme automation reduces self-esteem, faith in the worldview and attachment security. When self-esteem and attachment security are under attack, they are ineffective as anxiety buffers, and anxiety levels increase. Additionally, there is a distal effect such that during a period of distraction, the threatened anxiety buffers are reinforced and return to their normal levels.

This study is limited to a homogenous culture in which work is highly salient. Future research should include other cultures, other methods of exposure and further examine the distal effects.

The study examines the previously underexplored issue of individuals' psychological response to the impending changes in the workforce because of technological advancements.

To cope with the COVID-19 pandemic, contact tracing mobile apps (CTMAs) have been developed to trace contact among infected individuals and alert people at risk of infection. To disrupt virus transmission until the majority of the population has been vaccinated, achieving the herd immunity threshold, CTMA continuance usage is essential in managing the COVID-19 pandemic. This study seeks to examine what motivates individuals to continue using CTMAs.

Following the coping theory, this study proposes a research model to examine CTMA continuance usage, conceptualizing opportunity appraisals (perceived usefulness and perceived distress relief), threat appraisals (privacy concerns) and secondary appraisals (perceived response efficacy) as the predictors of individuals' CTMA continuance usage during the pandemic. In the United States, an online survey was administered to 551 respondents.

The results revealed that perceived usefulness and response efficacy motivate CTMA continuance usage, while privacy concerns do not.

This study enriches the understanding of CTMA continuance usage during a public health crisis, and it offers practical recommendations for authorities.

It is necessary and useful to differentiate destructive from constructive conflict and avoidable from necessary claims; and also to minimize disputes arising from unresolved conflict and claims in construction projects. This paper analyses such needs and proposes means of meeting them through an appropriate classification of construction claims; an estimation of their relative significance in terms of magnitude and frequency; and an identification of the proximate and root causes of the significant claims. A hierarchy of such claims, proximate and root causes is presented, based mainly on data collected from 61 projects and on 46 responses to questionnaires in Hong Kong. Measures of the relative significance of the claims categories are also presented. The results are reinforced by observations from parallel studies in Hong Kong and elsewhere, as well as from the literature. Strategies are suggested to avoid the avoidable and mitigate the unavoidable or unavoided claims, through controlling the controllable causes. Management focus is also recommended on controlling the causes of those categories of claims and disputes that are seen to be significant in terms of higher impact and/or probability of occurrence.

Using insights from the relevant literature and recent empirical data, this paper investigates the relationship between organisational change and employee turnover. It proposes a mechanism for how widespread change translates into individual decisions to quit, and corroborates four relevant hypotheses. The paper also illustrates the importance for managers of understanding avoidability – the extent to which turnover decisions can be prevented – and concludes with a research agenda, encapsulated by a model describing the relationship between organisational change and turnover.

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 paper is to explore psychological, social and work related health aspects of harm imposed on stakeholders, such as employees, their families and communities, by organizations while using efficiency based human resource management (HRM) practices.

The ethical issues of negative externality (NE) or harm of HRM practices are scrutinized using ethics of care for a stakeholders' perspective. Further, the conceptual framework of NE of HRM is used to analyse the psychological, social and work related health harm of one of the strategic HRM practices, work intensification, a widely used practice to improve the efficiency of employees.

It is evident from this article that NE of work intensification has become the major contributor to the psychological, social, and work related health aspects of harm on the stakeholders, and they as third parties render the costs for managing this harm.

The harm indicators and the associated costs are drawn from published research that was not conducted for the purpose of identifying the harm of the NE of HRM practices. Hence, it is suggested that it would be useful to develop a tool to measure the harmful effects of HRM practices on the stakeholders.

The analysis of NE of work intensification can help managers to be proactive in introducing sustainable HRM strategies so as to minimize the harms of NE of HRM practices.

The framework of NE of HRM provides a new insight that overutilization of human resources for maximizing an organisation's profit has an unsustainable impact on society.

The purpose of this paper is to propose a costs framework for harm of human resource management (HRM) practices to develop the cost measures for the psychological, social and work‐related health aspects of harm of HRM practices on stakeholders (employees, their family and communities) so as to understand the implications of harm on the stakeholders.

Initially, the cost components of health care are used to theoretically develop a costs framework for harm of HRM practices to measure cost for each of the psychological and the social aspects of harm of HRM practices. Subsequently, employee relative deprivation, spill over and crossover effects of work on family are the theories used to develop the cost measure for the psychological and the social harm of HRM practices. Finally, the direct costs associated with the psychological and the social harm of HRM practices on stakeholders are valuated using published research.

The proposed costs framework of harm of HRM practices is a useful theoretical framework to identify, measure and valuate the cost of psychological and social harm of HRM practices on the stakeholders.

The costs component framework of harm of HRM practices can facilitate the capture of the associated costs of the harm of HRM practices so as to understand organisations' ethics of care for stakeholders.

The theoretical costs framework for harm of HRM practices provides a new technique to measure the cost of psychological and social harm of certain HRM practices imposed on the stakeholders so as to minimise the harm in the future.