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The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

There is evidence that both hypnotherapy and virtual reality (VR) can be helpful in reducing perceived stress in the general population. This is a feasibility and acceptability trial of an intervention combining hypnotherapy and VR to establish its acceptability in students. This study aims to establish whether students found the experience acceptable, described any adverse effects and whether they reported feeling calmer after the experience.

The study was testing the hypothesis that students would attend the sessions and find the experience acceptable. A secondary hypothesis was that preliminary qualitative and quantitative evaluation of measures of stress and wellbeing would signal potential improvements.

All participants completed all three sessions. No side effects were reported. Visual analogue scales recorded each day assessing the immediate effect improved. At the end of the intervention, there was an increase in wellbeing of 2.40 (95% CI: 1.33, 3.53, p = 0.006), and a decrease in depression of 0.73 (95% CI: 0.40, 1.07, p = 0.010), reflecting large effect sizes of 0.76 and 0.83, respectively. Qualitative feedback was generally very positive.

This study is small with just 15 students and was over a short period of time. The recruitment method meant there was no way to establish whether the volunteer students were representative of the general student population in terms of mental wellbeing. There was no control arm.

The preliminary results suggest that a larger controlled trial is justified.

This VR experience may have benefit to university students and to the wider population.

This described the evaluation of a novel intervention for perceived stress combining hypnotherapy and virtual reality in a group of healthcare students, with promising results suggesting further evaluation is needed.

Drawing on interviews with two types of essential workers – wound clinicians and care workers – the chapter examines stigma management in dirty care work through the lens of emotion management. The study combines two dimensions of dirty work: physical taint in relation to bodywork and social taint linked to working in close proximity to socially stigmatized clients. Hence, stigma management extends to dealing with the physically and socially dirty features of essential care work. In addition, the authors’ assessment of social stigma includes how essential care workers also sought to alleviate the social stigma encountered by their clients. In so doing, the authors extend the literature on dirty work to identify how emotion management skills are central to the stigma management strategies of the essential care workers in this study. The authors demonstrate how both groups deal with their stigma by emphasizing the emotion management skills in ‘doing’ dirty work and in the ‘purpose’ of this work, which includes acknowledging how the authors attempt to address the social taint encountered by their clients. Additionally, by comparing two occupations with different contexts and conditions of work, the authors show how complex emotion management skills are gendered in care work to expand the understanding of gender and stigma management. Furthermore, these emotion management skills emanate from the deep relational work with clients rather than through occupational communities. The authors argue that by focussing on emotion management, the hidden skills of dirty work in gendered care work are illuminated and contribute to contemporary debates about whether stigma can be overcome.

The chapter provides an overview of the book and addresses the rationale for the selection of cases reflecting teaching and research in major areas of SDG14. For example, the impact of increasing global sea temperature, ocean acidification, and pollution on aquatic life and biosciences. Fisheries and aquaculture for seafood and marine ingredients and marine protected areas (MPAs) that favour the assemblage of fish, crustaceans, alga, coral, and mussels to enhance and stimulate biodiversity. New products derived from marine biotechnology are viewed to conserve and sustainably use the seas and oceans whilst promoting wealth creation and employment. Marine parks allow scientists to better study the marine environment and explore sustainable balances between tourism, work, and recreation in harmony with the Life Below Water – SDG14 mandate. Finally, the aspects of governance and roles of stakeholders and societal involvement are advocated in achieving the safe and effective use of marine resources. Throughout, the role of higher education in providing educated scientists and multidisciplinary specialists for future generations to come is highlighted.

Organizational sociology and organization studies have a long history together, while also sharing a proclivity to self-diagnose crises. Instead of taking these assessments at face value, this paper treats them as an object of study, asking what conditions have fueled them. In the case of organizational sociology, there are indications of a connection between rising levels of discontent and community building: self-identified organizational sociologists have progressively withdrawn from general debates in the discipline and turned their attention to organization studies, which, they suspect, has seen dramatic levels of growth at their expense. Organization studies, on the other hand, are still haunted by “a Faustian bargain”: leaning heavily on the authority of the social sciences, business school faculty were able to facilitate the emergence of a scholarly field of practice dedicated to the study of organizations, which they control. However, in doing so, they also set organization studies on a path of continued dependence on knowledge produced elsewhere: notably, by university disciplines such as sociology.

This study was inspired by research of strategists on strategic innovation (SI), aiming to provide a unique model to enhance the digitization of small and medium-sized enterprises (SMEs) in Bangladesh to fill the gap toward a digital economy.

A survey was used to collect data from 180 SMEs in the manufacturing industry for this research. The results indicate that strategic innovativeness (SI), human capital (HC), infrastructure and technology and resistance to change significantly influence the digitalization in Bangladesh SMEs.

The link between SI and SMEs' digitalization in Bangladesh is mediated by HC. The results show that HC plays a big role in the connection between SI and the digitalization of SMEs. This study may be valuable for SMEs managers, researchers and policymakers in Bangladesh and other developing nations, who want to learn more about SI in adopting digitalization.

The specialized knowledge and abilities of strategists allow them to establish parallels between the past and present, enabling them to make a sustained forecast about the digital economy. This study encourages small and medium-sized businesses to develop their SI and advance their HC, which could further deject resistance to change toward enhancing and adopting digitalization in SMEs sectors.

The authors investigated the factors influencing consumer evaluations of advertisements for ethical luxury products that incorporate animal rights and protection concerns. The authors empirically examined how ethical messages influence advertisement persuasiveness through ethical consumer guilt and positively impact consumer evaluations of ethical luxury products. Furthermore, the authors explored the moderating role of consumers’ independent versus interdependent self-construals.

The authors conducted four experimental studies on the interplay among ethicality, luxury brand positioning and self-construal. Moderated mediation analyses revealed that moral emotions were responsible for the effect of ethical luxury advertisements that address animal welfare on brand attitude.

Advertisement messages signaling a luxury brand’s ethical efforts increase empathy through ethical consumer guilt, thereby generating favorable attitudes toward luxury products. However, this effect is limited to consumers with independent self-construal in South Korea and the United States of America.

The authors offer novel insights into the roles of ethical consumer guilt and empathy in the positive effects of ethical messages from luxury brands. Furthermore, the authors identified brand type and self-construal as boundary conditions for the effects observed across different consumer groups and markets.