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The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

This paper intends to explore the relationship between participants' eye fixations (a measure of attention) and durations (a measure of concentration) on areas of interest within a range of online articles and their levels of information discernment (a sub-process of information literacy characterising how participants make judgements about information).

Eye-tracking equipment was used as a proxy measure for reading behaviour by recording eye-fixations, dwell times and regressions in males aged 18–24 (n = 48). Participants' level of information discernment was determined using a quantitative questionnaire.

Data indicates a relationship between participants' level of information discernment and their viewing behaviours within the articles' area of interest. Those who score highly on an information discernment questionnaire tended to interrogate the online article in a structured and linear way. Those with high-level information discernment are more likely to pay attention to an article's textual and graphical information than those exhibiting low-level information discernment. Conversely, participants with low-level information discernment indicated a lack of curiosity by not interrogating the entire article. They were unsystematic in their saccadic movements spending significantly longer viewing irrelevant areas.

The most profound consequence is that those with low-level information discernment, through a lack of curiosity in particular, could base their health, workplace, political or everyday decisions on sub-optimal engagement with and comprehension of information or misinformation (such as fake news).

Ground-breaking analysis of the relationship between a persons' self-reported level of information literacy (information discernment specifically) and objective measures of reading behaviour.

The importance of humans to the successful delivery of construction projects has led to the emergence of research attention on construction workforce management. As such, this chapter uncovers emotional intelligence (EI) and the external environment as critical aspects of workforce management practices that have not gained substantial attention in past workforce management studies. While some theories and models (existing outside the construction domain) have considered the external environment, none of these models is specific to the construction industry. Furthermore, EI has received less attention within existing workforce management models. Through a review of related studies and theories, this chapter noted that the EI of construction workers and their senior management is crucial to the performance of these workers and the ultimate performance of their organisations. In the same vein, since construction organisations do not operate in silos, the external environment significantly influences the operations of organisations in the construction industry. The environment exact pressures that can influence workforce management practices and technological innovations construction organisations adopt.

This study aims to assess the sociopsychological impact that Brazilian Jiu-Jitsu’s (BJJ) can have on the subjective wellbeing of practitioners.

Data was collected through face-to-face semi-structured interviews (N = 8) and were analysed using thematic analysis by taking an inductive approach.

Improvements in the wellbeing of practitioners can be made via focusing on specific known constructs which have previously shown to increase subjective wellbeing. They included the development of mental toughness, progression towards meaningful goals and/or healthy habits and behaviours and the forming and maintaining of positive social relationships.

The present work demonstrates the psychological benefits of BJJ practice on several psychological wellbeing targets, albeit in a modest sample size.

The heightened emphasis on mental wellbeing in the general population has added increasing pressure on mental health services (Steptoe et al., 2015; Diener et al., 2018; Johnson et al., 2018; Wicking & Dean 2020). Therefore, it is of theoretical and practical advantage to explore novel ways to help individuals with both their mental health and wellbeing.

The present study seeks to add to an emerging field of research which proposes that intentional activities such as BJJ can be integrated alongside traditional approaches to therapy in their promise to help those recovering from mental health issues.

This chapter offers an original conceptualization of co-mentoring – situated in the wider literature – together with evidence of its impact and factors facilitating impact across applications of co-mentoring in transnational schooling contexts. Co-mentoring is an alternative to more traditional, hierarchical, and unidirectional approaches to mentoring in education. Extending the extant literature on collaborative mentoring (or “comentoring”), co-mentoring is a collaborative, compassionate, and developmental relationship – informed by specific approaches to mentoring and coaching – that is intended to support participants' professional learning, development, effectiveness, and well-being, and potentially improve their workplace cultures. Detailing three different applications of co-mentoring across the United Kingdom and United States, the chapter evidences the realization of these intended outcomes (professional learning, etc.), and highlights factors found to be instrumental in facilitating the positive impacts of co-mentoring. We end with recommendations for undertaking research and practice that build human and organizational capacity through co-mentoring. A takeaway is that intentional approaches to co-mentoring can have value for participating parties and broader impact, as well as wide applicability.

Industry 4.0 with artificial intelligence (AI), the Internet of Things, and automation are giving way to Industry 5.0 which places emphasis on workers' well-being, people, and society. The new era accentuates interaction between humans and smart machines to drive prosperity and induce sustainable contribution of industry to society. It must build a resilient economy to cope with future uncertainties or external shocks. Moreover, the sustainability effort of companies demanded by consumers, employees, shareholders, governments, and civil society requires sustainability transformation of business strategies. Applying sustainability principles in product design implies the consideration of a product's entire life cycle. Technologies accelerate sustainable production and support using natural resources efficiently taking into consideration planetary boundaries. This condition also makes for a novel perception of products, including financial products. Under the current circumstances of a volatile, uncertain, complex, and ambiguous environment, the focus on consumers and recognition of their dominance play a pivotal role in business models to maintain customer relationships. Thus, the digital, sustainable, human-centric industry is emerging. This chapter deals with digital products to enable twin transition and accomplish a sustainable business strategy simultaneously. It examines the reciprocal reinforcement of sustainability and digitalization and discusses the impact of digital sustainability on products. In this sense, this chapter also outlines the business contribution to sustainable development through digitalization. Finally, a holistic model for a hypothetical financial remittance product is offered to demonstrate how a digital product can contribute to sustainable development.

This chapter critically reviews the literature on authentic leadership (AL) that emerged in response to scandals in private- and public-sector organisations, drawing on theories, concepts and methods from other disciplines. The author finds that AL lacks a consensus definition, and that quantitative research has largely been at the level of employees rather than executives or board members. The review reveals 12 categories of criticisms. Schaefler advocates inductive qualitative research on the major concerns of executive leaders and means of addressing them via group dynamics, maintaining that exploring processes of AL in real-world settings would complement existing quantitative research and contribute to the development and extension of AL theory.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.