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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 study aims to address this need. In the UK, people with dementia admitted to National Health Service mental health in-patient dementia assessment wards [dementia assessment wards] present as complex and experience a number of changed behaviours, such as excessive walking, agitation and aggression. The complexity of the presentation of dementia has been identified as underpinning pre-and post-admission to these care environments, but limited study has so far been conducted to explore the boundaries and meaning of complexity and its relationship to dementia assessment ward practice.

An online electronic survey of UK-based national dementia leaders was conducted in 2018. Nineteen completed questionnaires were returned, and mental health nurses comprised the largest sub-sample. Qualitative data of the free-text responses were analysed using manifest content analysis.

Four routes to admission to a dementia assessment ward were identified. Multiplicity of needs and interconnectedness were seen as important domains in uncovering the meaning of complexity. The importance of life story and formulation approaches were highlighted. Challenges uncovered included, better understanding changed behaviour and its relationship to complexity, the need for understanding the boundaries of complexity and making visible care practices on these specific wards.

Findings can be used to produce a heightened awareness about the meaning and function of complexity in dementia assessment wards. Policymakers and researchers need to increase the emphasis on this area of mental health and dementia care. Further training for the multidisciplinary team on formulation approaches could help to improve the evidence-base for practice.

The purpose of this study is to discuss the construction of a structural measurement model utilizing structural equation modelling (SEM) to confirm the link between Industry 4.0 technologies, sustainable manufacturing practices and organizational sustainable performance. Relationship among the paradigm has yet to be fully investigated, necessitating a more conceptual and empirical examination on what impact they have on organizational sustainable performance when used together.

Industry 4.0 and sustainable production practices aim to progress a company's business competitiveness, forming sustainable development that benefits manufacturing companies. The aim of the study is to analyze the relationship between constructs that lead to operational excellence in firms that use Industry 4.0 technologies and sustainable manufacturing techniques. Experts from diverse automotive industries, who are applying both Industry 4.0 and sustainable manufacturing practices, provided data for the study.

Statistical estimations (hypotheses) are created to substantiate the measurement model that has been developed. The structural model was analysed, and the findings were discussed. The statistical estimate is either approved or rejected based on the findings. According to the conclusions of this study, strong link exists between Industry 4.0 technologies and sustainable manufacturing practices that affect organizational sustainable performance environmentally, economically and socially.

The research was conducted in the framework of automobile component manufacturing companies in India. The outcomes of the study are practically feasible.

The authors' novel contribution is the construction of a structural model with Industry 4.0 technologies and sustainable manufacturing practices into account.

L. Dee Fink proposes that different and more significant kinds of learning should be created in higher education to transition student outcomes from simply “learning” to “significant learning,” and these new types of learning should be situated within significant learning experiences (Fink, 2003). Fink also identified a taxonomy of significant learning that included six components: integration, foundational knowledge, application, human dimension, caring, and learning how to learn. Using Fink’s Taxonomy of Significant Learning as a framework, the authors will share the development of a course on navigating the US Healthcare System that resulted in significant learning outcomes for students completing the first semester of a four-year Doctor of Pharmacy curriculum. Each learning experience will link to a component of the taxonomy and will serve as the mechanism for the authors to share the development and implementation associated with each aspect of the semester-long course. The assessment structure of the course is described in detail. The authors present one or more learning experiences to illustrate each component of Fink’s Taxonomy. Finally, lessons learned from the development and implementation of the course are presented to guide programs considering implementation of a similar significant learning experience.

The purpose of this paper is to identify the causal (not correlational) effect of women’s entrepreneurship on corporate social responsibility (CSR) practices in Latin America.

This study builds on a hitherto unexploited sparse data set on Latin American B Corporations to identify the causal relationship of interest and on a (synthetic) instrumental variable method.

The results confirm that women’s entrepreneurship has a positive causal effect on social responsibility. This study finds that an increase of 1% in the proportion of women entrepreneurs leads to an increase of 0.5 in the B Impact Assessment score, the CSR indicator.

This study contributes to the literature by providing robust statistical evidence of a causal relationship between women entrepreneurs and social responsibility practices in the Latin American context. This research captures the multidimensional nature of social responsibility by using a comprehensive and vast metric of CSR obtained from the data of the B Impact Assessment tool. This study illustrates how machine learning methods can be used to address the lack of structure of the Latin American B Impact Assessment data.

El propósito de esta investigación es identificar el efecto causal (no correlacional) del emprendimiento de mujeres en las prácticas de responsabilidad social empresarial (RSE) en América Latina.

Nos basamos en un conjunto de datos escasamente explorado hasta el momento sobre las Empresas B en América Latina para identificar la relación causal de interés, y utilizamos un método de Variables Instrumentales (VI) sintéticas.

Nuestros resultados verifican el efecto causal positivo del emprendimiento de las mujeres en la responsabilidad social. Descubrimos que un aumento del 1% en la proporción de mujeres emprendedoras conduce a un aumento de 0.5 en la puntuación de la Evaluación de Impacto B, nuestro indicador de RSE.

Contribuimos a la literatura proporcionando evidencia estadística sólida de una relación causal entre emprendedoras mujeres y prácticas de responsabilidad social en el contexto de América Latina. Esta investigación captura la naturaleza multidimensional de la responsabilidad social mediante el uso de una métrica amplia y vasta de RSE obtenida de los datos de la herramienta de Evaluación de Impacto B. Ilustramos cómo se pueden utilizar métodos de aprendizaje automático para abordar la falta de estructura de los datos de evaluación de impacto B en América Latina.

O propósito desta pesquisa é identificar o efeito causal (não correlacional) do empreendedorismo feminino nas práticas de responsabilidade social corporativa (RSC) na América Latina.

Baseamo-nos em um conjunto de dados escasso até então não explorado sobre as Empresas B na América Latina para identificar a relação causal de interesse, e utilizamos um método de Variáveis Instrumentais (VI) sintéticas.

Nossos resultados verificam o efeito causal positivo do empreendedorismo feminino na responsabilidade social. Descobrimos que um aumento de 1% na proporção de mulheres empreendedoras leva a um aumento de 0,5 no escore de Avaliação de Impacto B, nosso indicador de RSC.

Contribuímos para a literatura fornecendo evidências estatísticas robustas de uma relação causal entre empreendedoras mulheres e práticas de responsabilidade social na América Latina. Esta pesquisa captura a natureza multidimensional da responsabilidade social usando uma métrica abrangente e vasta de RSC obtida a partir dos dados da ferramenta de Avaliação de Impacto B. Ilustramos como métodos de aprendizado de máquina podem ser usados para lidar com a falta de estrutura dos dados de avaliação de impacto B na América Latina.

Corporate Social Responsibility (CSR) reporting has been widely accepted as a vital tool for communicating with stakeholders on a range of social, environmental, and governance issues, but how companies define, interpret, apply, integrate, and communicate their CSR efforts and impacts in corporate reporting is anything but a straightforward task. The purpose of this chapter is to explore the concept of materiality in CSR reporting and demonstrate practical examples of good CSR and Sustainable Development Goals (SDGs) reporting practices. We chose the aviation industry because of its economic relevance, constant growth, and future expected changes in the aftermath of COVID-19. In addition, airlines affect many of the SDGs directly and indirectly with contending results. This chapter is timely because of the growing willingness by companies to integrate CSR and environmental, social, and governance (ESG) thinking into the corporate strategy and business operations using materiality assessment and enhancing their competitive advantage and ability to maintain long-term value and because ESG and ethical investing have become part of the mainstream investing. Thus, this chapter contributes to an understanding of the wide range of existing and new reporting frameworks and regulations and reinforces the importance of discussing how this diversity of approaches can affect the work toward worldwide comparability of CSR and sustainability reporting.

The purpose of this paper is to consider the role of the Mental Health Act (MHA) 1983 in safeguarding adults at risk of abuse and neglect. The author has undertaken a thematic review of Safeguarding Adults Reviews (SARs) commissioned in England and Adult Practice Reviews (APRs) commissioned in Wales where the MHA 1983 was a central aspect to the review.

Reviews were included based on specific determinants, following analysis of SARs, APRs and executive summaries. This should not affect the credibility of the research, as themes were identified in conjunction with analysis of literature regarding use of the MHA in the context of adult safeguarding. Consequently, this review has been underpinned by evidence-based research in the area of study.

The interaction between statutes, such as the MHA 1983 and Care Act 2014, signify challenges to professionals, with variable application of mental health legislation in practice.

Lack of a complete national repository for review reports means that it is likely that the data set analysis is incomplete. It was noted that limitations to this research include the fact that Safeguarding Adults Boards in England may not publish SAR reports or may choose to publish an executive summary or practice brief instead of the full SAR report, therefore limiting the scope of disseminating learning from SARs, as this is difficult to achieve where the full report has not been published. The author aimed to mitigate this by undertaking comprehensive searches of Local Authority and SAB websites, in addition to submitting Information requests to ensure that this research encompassed as many relevant review reports as possible.

This is an important and timely topic for debate, given that the UK Government is proposing reform of the MHA 1983. In addition, existing thematic reviews of SARS tend to be generalised, rather than specifically focused on the MHA.