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The purpose of this study is to learn what kinds of obstacles Indian businesses face when trying to make biodiversity protection a top priority as part of their corporate social responsibility (CSR) efforts. Interventions are proposed to elevate biodiversity protection to the ranks of CSR priorities among Indian businesses.

This study applies an interpretive phenomenological analysis strategy to glean information from in-depth interviews with leaders and professionals in CSR.

The findings of the study revealed that the main factors influencing Indian companies’ CSR area choices are existing processes and stakeholder pressures. Companies prioritise engaging with local communities and employees when selecting CSR activities. The major challenge is integrating biodiversity into business plans, with CSR heads struggling to secure investment due to long gestation periods and limited media coverage. Implementing agencies face issues with project deliverables, mainly due to land ownership and lack of local government support. Companies can also encourage employee involvement in pro-environmental behaviours. The study also provides practical solutions for Indian companies to enhance their CSR engagement in biodiversity conservation.

The research only focuses on the opinions of CSR specialists and leaders, so it may only consider part of the situation’s complexity inside the organisation. The results may only apply to the business climate in India; hence, extra care is warranted when extrapolating them to other countries. Nonetheless, the study provides valuable insights into the interplay between CSR and biodiversity protection that might inform future studies and policy initiatives.

This research fills a gap in the literature by investigating an uncharted territory: the role of CSR in protecting biodiversity in India. Examining obstacles and variables affecting CSR objectives illuminates business involvement in biodiversity conservation. The recommended treatments have real-world consequences for improving CSR involvement in this critical area.

This study aims to demonstrate a rigorous approach to applying the Repertory Grid Technique (RGT) and Honey’s Content Analysis (HCA) to obtain and process qualitative data through structured interviews.

An illustrative case study using the OpenRepGrid package from the open-source software R facilitates a deeper understanding of these techniques. The study subjects were employees of a corporate charter company.

The RGT enables the identification of key attributes as perceived by interviewees regarding the phenomenon, whereas HCA clarifies how these attributes impact the desired analysis outcome. The presented case study identified constructs related to the client–supplier relationship and their impact on service performance from the provider’s perspective.

This study illustrates the use of qualitative methods based on an interpretative naturalistic approach to rigorously and systematically capture interviewees’ perspectives.

The combination of RGT and HCA can be a valuable tool for management studies by allowing controlled researcher interference in empirical investigations. In addition, the data-driven selection of constructs by interviewees can lead to the emergence of novel theories.

Using diverse methodologies enables researchers to address complex managerial challenges that often surpass the capabilities of conventional analysis methods.

The proposed methodology offers a robust understanding of phenomena from the interviewees’ perspectives. Consequently, this study highlights the potential of these techniques for theoretical and empirical research in the field of administration.

This study aims to stimulate scholarly attention and practical application pertaining to individuals recognized as “Docs.” Through conducting a comprehensive analysis and acquiring a profound understanding of its many connotations, the objective is to shift attitudes and approaches concerning those who are seen to possess knowledge and value within society.

For this study, culturally relevant pedagogies were used as theoretical frameworks in addition to Sankofa and concept explication being used as methodologies.

The authors identified three themes: (1) honorary cultural practice-community nomination of “professahs” and “docs,” (2) (Black) robinhoods – cultural signifiers of distinction and relatability and (3) docs as catalysts – elevating community via consciousness, trust and mentorship as significant understandings of this distinction.

The study emphasizes the importance of “Docs” in both academic and social contexts. The role of “Docs” serves to alleviate potential conflicts of being a Black intellectual. This study further reveals the ways in which Docs align with, promote or possibly undermine established frameworks of thought. Finally, this study provides institutions with opportunities to consider strategies for the utilization, recognition and integration of individuals who are frequently overlooked or undervalued.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

The Mental Health of Children and Young People in England survey (National Health Service Digital, 2020) found that 1 in 6 children aged 5–16 have a probable mental health disorder. This represents 16% of children in that age group and is an increase from 1 in 9 in 2017 (Public Health England, 2021). Evidence suggests that some children and young people, particularly those who are economically disadvantaged, females and those with pre-existing mental health needs appear to have experienced greater negative impacts on their mental health and wellbeing during the COVID-19 pandemic (Public Health England, 2021) and schools and colleges therefore play an important role in continuing to support children and young people’s mental health. Evidence from the national charity, Education Support (2022), also indicates that the mental health of staff working in education has deteriorated, leading to adverse effects on job satisfaction, burnout and retention. This chapter explores the latest evidence relating to Children and Young People’s (CYP) mental health and the whole school approach to mental health, including the mental health of staff who work in the education sector. It makes a case for implementing a mental health curriculum in schools. It addresses the concept of mental health literacy and approaches for working in partnership with children and young people. It makes an argument for universal screening and outlines approaches for working in partnership with parents, carers and other agencies. Theoretical perspectives are considered and applied to school contexts.

Algorithmic trading has evolved beyond traditional methods by incorporating machine learning techniques to analyse extensive datasets. The integration of machine learning and ATS has helped in enhancing the decision-making process, leading to more accurate predictions of market trends, risk assessments, and optimal execution strategies. The opaque nature of artificial trading models can create challenges in understanding the decision-making process of these systems. This lack of clear understanding raises questions about accountability, and market participants lack transparency on whether movements are economic-driven or algorithmic trading strategies. The chapter explores the development of I-driven trading and Key Characteristics of Algorithmic Trading Systems. In conclusion, the integration of machine learning into capital markets represents a major shift in how investment decisions are made, risks are managed, and how markets operate independent artificial intelligence trading systems. Its increasing use highlights the need for careful ethical consideration, regulatory flexibility and ongoing monitoring.

The nature of policework is uniquely challenging to officers’ mental health, producing detrimental outcomes such as higher rates of suicide, substance abuse and divorce compared to other occupations. This is especially true in small and rural police departments, where officers often have broader responsibilities and cover a larger geographic area than their counterparts who work in large urban departments. Given the limited resources available to small and rural police, the purpose of this study is to explore the mental health services available to officers in small and rural police departments.

We used a mixed methods approach. First, we surveyed 349 small and rural Pennsylvania police chiefs about the mental health services in their department. Of these chiefs, 53 participated in subsequent in-depth qualitative interviews about officer awareness of the mental health services available to them, what resources they thought would be helpful to officers and what barriers exist to prevent officers from seeking help.

Quantitative results indicated that 22% of small and rural police departments had no mental health programs available to officers; Critical Incident Stress Management and Employee Assistance Programs were most commonly available. Budget size and the presence of a union influenced whether a department had mental health programs available to officers. Qualitative interviews found that although most departments provided some mental health services, officers were unlikely to use them. Chiefs expressed a need for improved services that officers might be more likely to use.

Given the lack of resources available in small and rural police departments and the lack of adoption of some resources, we recommend peer assistance, general wellness programs and telehealth as feasible options for officer mental health.

Small and rural police comprise the bulk of policing in the USA, yet remain understudied. This study focuses on small and rural police.

The research presented in this paper deepens our understanding of the experience of apprentices and employers engaged in degree apprenticeships.

The research is focused upon ten in depth interviews. Data collection and analysis was undertaken following a grounded theory approach.

The data analysis identified broad themes relating to original motivation, experience and outcomes of the degree apprenticeship. Apprentices and their employers highlighted the potential of real-life work-based projects undertaken as part of the degree apprenticeship to be of direct value not only to the apprentice but also to the employer organisation.

The study was exploratory in nature and based upon ten interviews across five different organisations. Although the methodology followed a grounded theory approach to data collection and analysis, it is not claimed that there was the data saturation required as the basis to generate theory. The research provides insight to inform how apprentices, employers and degree apprenticeship providers might effectively work together.

The study is based on authentic first-hand accounts from apprentices and their employers. It identifies key themes of common interest, which suggest how future practice may be improved. The research suggests that work-based projects conducted as part of the degree apprenticeship have the potential to make a wider contribution to the employer organisation by increasing productivity.