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This paper aims to examine the barriers and facilitators of conducting and implementing research in frontline child and youth mental health settings in the UK.

Researchers, clinicians and commissioners who attended a workshop at the Big Emerging Minds Summit in October 2022 provided their expert views on the structural barriers and possible solutions to integrating research in clinical practice based on their experiences of child and young people mental health research.

The identified barriers encompass resource constraints, administrative burdens and misalignment of research priorities, necessitating concerted efforts to foster a research-supportive culture. This paper proposes the potential actionable solutions aimed at overcoming challenges, which are likely applicable across various other health-care systems and frontline NHS services. Solutions include ways to bridge the gap between research and practice, changing perceptions of research, inclusive engagement and collaboration, streamlining ethics processes, empowering observational research and tailored communication strategies. Case examples are outlined to substantiate the themes presented and highlight successful research initiatives within NHS Trusts.

This paper provides an insight into the views of stakeholders in child and youth mental health. The themes will hopefully support and influence clinicians and academics to come together to improve the integration of research into clinical practice with the hope of improving service provision and outcomes for our children and young people.

Introduction: Artificial intelligence (AI) and digitisation offer substantial human potential and profit margins, making them promising retail solutions. Retail leaders have successfully integrated comprehensive uses into their daily operations, while competitors heavily invest in new projects. The Indian retail sector is undergoing a significant transformation, which can be attributed to factors such as growing income, demographic characteristics, and enhanced consumerism, as well as the rapid development of new technologies such as digitisation and AI, which is changing both consumers’ and retailers’ buying behaviour.

Purpose: This study aims to determine the influence of AI on elements that drive digitisation in the retailing sector, as well as the factors that lead to organised retailers adopting digitisation and its impact on their business.

Methodology: The study employs a standardised questionnaire distributed to organised stores via an online link, and the data are analysed with SmartPLS software 3.0.

Finding: The retail sector is driven by elements that promote digitalisation in food and groceries retailing, such as simplicity of operation, adoption of digital payment, quicker internet connection, retailer consumer interface, and the involvement of AI.

Research implication: AI has significant consequences for retailing, which serves as the interface between marketers and customers.

Theoretical implication: The study’s findings reflect the perspectives of retailers, store managers, and entrepreneurs on how digitalisation and AI are crucial for the creation and growth of long-term competitive advantages in retail.

This paper offers a bibliometric analysis of the scientific literature on social finance. It provides an overview of the research field by identifying gaps in the existing academic literature and presenting future research directions.

The study uses co-word analysis and visualization mapping techniques.

This study's findings show that the social finance research field comprises five main research clusters and four main research hotspots—impact investing, social entrepreneurship, social impact bonds, and social innovation—which represent the core of this research domain. The authors also identify the researchers and the research institutions that have contributed to the development of social finance. In addition, emerging research areas are mapped and discussed.

Compared with most previous literature reviews, this work provides a more complete and objective analysis of the entire social finance landscape by revealing the trends and evolving dynamics that characterize its development. To this end, clear terminological boundaries have not yet been established in social finance. The field appears immature because only a few researchers have contributed to it, and papers have yet to be published by top finance journals. Finally, the findings of this research provide directions for future studies.

The purpose of this paper is to investigate whether downside-risk measures help to explain why households largely refrain from investing in Exchange Traded Funds that replicate broad and internationally diversified market indices, so-called XTFs, although studies frequently recommend to do so.

The paper analyzes whether evaluating risk in terms of downside-risk measures which reflect households' interpretation of risk closer than the standard deviation (SD) of returns, yields less risk-return-enhancements, and thus, fewer incentives for households to invest in XTFs. Household portfolios are compiled by combining stylized portfolio compositions that involve multiple asset classes and German households' security holdings. The data set covers the period from January 2014 to December 2016 and includes 47,388 securities.

The results indicate that none of the downside-risk measures can help to explain the reluctance of households to invest in XTFs. On the flip side, the results show that all stylized household portfolios can enhance the risk-return position from employing XTFs, regardless of the underlying risk measure. This supports the advice to invest in XTFs and extends it upon households that evaluate risk in terms of downside-risk.

To the best of the authors' knowledge, this study is the first to investigate risk-return-enhancements from XTFs while simultaneously considering various downside-risk measures and multiple asset classes of household portfolios.

This study examines the significance of Oman’s sustainable strategies to mitigate overtourism. The study adopts a quantitative study design with a survey method to investigate the strategies’ effectiveness. Two hundred twenty participants were recruited through random sampling, most of whom were male. The data was collected from October to November 2020, and the data collection process lasted for four months, from December to March 2021. This study also reviews the role of economic challenges in causing overtourism in Oman. Further, it analyses the sustainable strategies adopted by the Omani government to overcome the overcrowding of tourist places in Muscat and Salalah and prevent the deterioration in the quality of tourism-related services and products. The significance and impact of the sustainable strategies were investigated through factor analysis. We developed the following hypotheses: (i) the economic challenges have resulted in overcrowded tourism in Oman; (ii) the sustainable strategies or framework(s) are sufficient to overcome overtourism in Oman; and (iii) there is a significant impact of sustainable strategies or framework(s) to overcome overtourism in Oman. The study concluded that economic challenges directly impacted the quality of the services and the entire hospitality and tourism sector in Oman, concerning overtourism. However, the government of Oman has adopted sustainable strategies and frameworks to address this overtourism challenge. Most respondents asserted that the steps taken to mitigate overtourism were significant in eliminating the challenge of overtourism in Oman.

This study aims to explore the role that artificial intelligence (AI) systems could play in configuring and enhancing the omnichannel customer experience (OCE).This paper aims to pave the way to better understand the intersection between these two novel topics through perspectives and associated interpretations from managers', consultants' and consumers' beliefs, experiences and thoughts.

The study adopts an explorative inductive design. Data from 41 in-depth interviews with high-level retail managers (12), AI consultants (3) and omnichannel consumers (26) was analyzed using grounded theory methodology.

The study's results revealed that, when AI systems are implemented in the omnichannel experience, some dimensions of the OCE change in relevance. The findings show that some OCE dimensions are easier to relate with experiential elements of the omnichannel experience, such as personalization, consistency and flexibility. In contrast, integration and connectivity are perceived as internal retailer capabilities that enable the omnichannel strategy. Consumers' data also show differences in the omnichannel customer journeys for the product categories of clothes, electronics and furniture.

This study presents insights on the impact of AI on OCE from top-retail managers', consultants' and consumers' perspectives. This choice allowed researchers to explore and uncover interesting intersecting points and examine issues related to omnichannel experience and AI systems implementation, providing guidance for future research.

Organizational change is a key mechanism to ensure the sustainability of healthcare systems. However, healthcare organizations are persistently difficult to change, and literature is riddled with examples of failed change endeavors. In this chapter, we attempt to unravel the underlying causes for failed organizational change. We distinguish three types of change with different levels of depth that require different change approaches. Transformations are the deepest forms of change where beliefs and principles need to be modified to successfully influence routines. Renewals are deep forms of change where principles need to be modified to successfully influence routines. Improvements are shallow forms of change where only modifications at the level of routines are needed. Using deoxyribonucleic acid (DNA) as our metaphor, we propose a theory of “organizational DNA” to understand organizations and these three types of organizational changes. We posit that organizations are made up of a double helix consisting of a so-called “social string,” which contains the “soft” interaction or communication among the organization's members, and a so-called “technical string,” which contains “hard” organizational aspects such as structure and technology. Ladders of organizational nucleotides (i.e., Routines, Principles, and Beliefs) connect this double helix in various combinations. Together, the double helix and accompanying nucleotides make up the DNA of an organization. Without knowledge of the architecture of organizational DNA and whether a change addresses beliefs, principles, and/or routines, we believe that organizational change is constrained and based on luck rather than change management expertise. Following this metaphor, we show that organizational change fails when it attempts to change one part of the DNA (e.g., routines) in a way that renders it incompatible with the connecting components (e.g., principles and beliefs). We discuss how the theory can be applied in practice using an exemplar case.

Medical diagnosis and treatment processes exhibit a high degree of variability, as during the process execution, healthcare professionals can decide on additional steps, change the execution order or skip a task. Process models can help to document and to discuss such processes. However, depicting variability in graphical process models using standardized languages, such as Business Process Model and Notation (BPMN), can lead to large and complicated diagrams that medical staff who do not have formal training in modeling languages have difficulty understanding. This study proposes a pattern-based process visualization that medical doctors can understand without extensive training. The process descriptions using this pattern-based visualization can later be transformed into formal business process models in languages such as BPMN.

The authors derived patterns for expressing variability in healthcare processes from the literature and medical guidelines. Then, the authors evaluated and revised these patterns based on interviews with physicians in a Danish hospital.

A set of business process variability patterns was proposed to express situations with variability in hospital treatment and diagnosis processes. The interviewed medical doctors could translate the patterns into their daily work practice, and the patterns were used to model a hospital process.

When communicating with medical personnel, the patterns can be used as building blocks for documenting and discussing variable processes.

The patterns can reduce complexity in process visualization. This study provides the first validation of these patterns in a hospital.

There is strong excitement during Ponzi schemes and financial bubble periods. This emotion causes investors to turn to “unknown and new investment instruments”. This study, the factors that made “unknown and new investment instruments” preferable to “known and experienced investment instruments” were investigated.

It was taken into account unconscious like phantasy, emotional like emotional intelligence, both affective and cognitive like financial literacy and subjective beliefs like trust and overconfidence. In addition, risk preferences were measured with four different risk variables. In this context, data were collected by online survey method between November 2020 and May 2021 with convenience sampling. First, the data were collected from 832 participants in the pilot study. Additional data were also collected using convenience sampling and online surveys, and a total of 1,692 participants were obtained. Data were analyzed using Statistical Package for the Social Sciences (SPSS) 25 and AMOS 24.

As a result of the analyses made, the variables that lead investors to choose “unknown and new investment instruments” were determined as risky investment intention, phantasy, risk taking/risk avoidance, confidence, risk tolerance and subjective financial literacy. Trust and risk perception have a very weak effect on preferences. However, no effect of emotional intelligence and objective financial literacy was detected. In addition, a moderately positive and significant relationship was found between objective and subjective financial literacy. Subjective financial literacy was found to have a strong and significant relationship with emotional intelligence, confidence, trust, risky investment intention and phantasy.

This study investigates the factors underlying individuals' investment preferences from a broad perspective. We think that this study is unique in this structure and wide variables. We believe that the findings obtained in this manner are unique to both academics and practitioners. We also believe that the findings of the study will make an important contribution to understanding participation behavior in various Ponzi schemes and financial bubbles.

This chapter is based on criminological research about theatre in detention. The research results allow a new conceptual approach to the notion of subversion. The purpose of this work is to (a) briefly present the object, context, and methodology of the research; (b) describe the concept of subversion; and (c) explain how subversion can serve an activist project in criminology. The topic will be situated in an epistemological reflection, illuminating the nature of the prison theatre project and its criminological applications.