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People with intellectual disabilities are high users of acute hospital care. Given their varied and often complex health-care needs, they often experience health inequalities and inequities, contributing to poorer health outcomes. As nurses are the largest health-care workforce with a patient-facing role, they have an important responsibility in meeting this populations health needs. The purpose of this paper is to explore key issues relating to the role nurses play in providing equitable health care for people with intellectual disabilities.

This service feature draws upon relevant literature to examine key contextual issues highlighting the importance of nurses in providing equitable health care for people with intellectual disabilities.

The findings from this service feature highlight the importance of nurses taking a leadership role in advocating for, and actively supporting the health needs of people with intellectual disabilities. Nurses’ leadership role, along with implementing reasonable adjustments, should be underpinned by education and training relating to the bespoke health needs of people with intellectual disabilities. This should help nurses promote the health and well-being of this population.

Addressing this populations health needs is a collective responsibility of all nurses. There are many examples of how nurses can be supported through policy, education, training and advocacy and this needs to be considered by key stakeholders and addressed as a matter of priority.

This paper aims to examine the most commonly used categories of sustainability literature review regarding their purpose, nature, strengths, weaknesses and potential for impact. This paper also discusses the motivation, incremental contribution and framing that occurs by considering the research papers included in this Special Issue.

Given the paucity of clear guidelines for undertaking, writing and publishing literature review studies in sustainability research, this paper describes the main types and processes in conducting a literature review and emerging tools that can help advance the field.

This paper finds a variety of approaches in application with strengths and weaknesses, including the emerging role of software support, artificial intelligence and machine learning. This paper reviews the ethical implications of using emerging tools in the sustainability literature review methodology and their impacts on originality, authenticity and accountability. This paper discusses the seven carefully selected and meticulously reviewed articles in this Special Issue through the lens of these findings by specifically highlighting their purpose, strengths, weaknesses and practical and policy implications.

Through the systemization of ways to conduct meaningful literature reviews, this paper explores the significant relevance of the method in creating a basis of academic understanding and advancing future research that can have significant impacts on the industry. Through the discussion of the articles in this Special Issue, this paper highlights the practical and policy implications and limitations of literature reviews in sustainability research.

This paper highlights the purpose of literature reviews in identifying areas for further research and how the papers included in this Special Issue achieve this goal, i.e. how their findings possess specific positive externalities in summarizing and systematizing sustainability research.

This paper systematizes methods and processes for writing impactful literature reviews in sustainability research, particularly focusing on the use of emerging technology and the opportunities and challenges this may offer in this process.

Creative industry entrepreneurs successfully exploiting the identified new business opportunities depends on creative and cultural industry (CCI) managers and their collaboration with other sectors (nonCCI). The chapter offers a contribution to the creative industry entrepreneurs’ collaboration literature. It strives to understand and exhibit potential themes underlying cognitive mental models of CCI managers concerning collaboration processes with nonCCI. This novel knowledge may be an enabler for smoother and more effective collaboration processes between CCI and nonCCI organisations. The chapter employs an explorative abductive approach with interviews as the primary research method and uses an interpretative phenomenological analysis (IPA). Based on the findings, the chapter proposes a concept map illustrating potential themes of CCI managers’ mental models for collaborations.

The purpose of this study is to explore the shifting power dynamics within an inter-organizational relationship (IOR) over time through an institutional theory lens. Specifically, this manuscript explores power by acknowledging its relationality, temporality and typology through a case study focusing on an international collegiate ice hockey tournament. This study seeks to demonstrate the complexity of power as a multi-dimensional, relational, and temporal concept that can ebb and flow given actors’ positionality.

This study uses a chronological case study that is an appropriate in-depth qualitative framework to explore the how and why of a particular phenomenon. Yin (2018) describes a case study as “investigat[ing] a contemporary phenomenon (the ‘case’) in depth and within its real-world context, especially when the boundaries between phenomenon and context may not be clearly evident” (p. 45). Specifically, I used a chronological case study method as it provides the ability to document the chronology of events to determine important factors shaping the phenomenon (Yin, 2018). This includes collecting various types of data (organizational documents, news articles, interviews and observations) to create a robust understanding of a bounded chronological case over time.

Examining power dynamics is important as “power or its absence influences the mechanisms available to partners for initiating, challenging, and/or enforcing institutional change” (Gray et al., 2022, p. 3). This paper demonstrates the complexity of power as a multi-dimensional, relational and temporal concept that can ebb and flow given actors’ positionality. Further, the paper provides a case study showing how power asymmetries in an IOR can shift over time.

This study provides a case study on an IOR wherein multiple international organizations collaborated to create an ice hockey tournament. Through the case study, I demonstrate how different partners navigate power imbalances and changes over time.

This study provides a textbook case study of a successful IOR. Entrepreneurial actors capitalized on a catalyst event to leverage a boundary-spanning document and their professional networks to form a new identity and shared vision through the formation of the tournament. Further, this study provides insight into how an organization in an IOR can work to balance asymmetrical power relations.

As organizations seek to engage in collaborations, leveraging power through their contextuality can help create more equitable arrangements over time. Even when organizations may truly be at a disadvantage when entering an IOR, such as a local indigenous community partnering with an international corporation or non-profit, the status of particular locals or local organizations can be powerful in balancing an imbalanced relationship.

While a wealth of research documents the relational dynamics of IORs, there remains a significant gap in our understanding pertaining to the dynamics of power asymmetries in IOR partnerships. Existing research primarily focuses on the antecedents leading to sport organizations engaging in IORs and the various processes organizational leaders can employ to ensure an IOR’s success. However, several scholars acknowledge a profound gap in our understanding of how partners experiencing a power deficit in an IOR partnership work to balance power asymmetries.

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.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

The purpose of this study is to explore and map Safeguarding Adults England data for 2022–2023 by local authority to enable identification and exploration of any differences between local authorities.

Colour symbology maps were produced to enable visual analysis of safeguarding concerns and Section 42 enquiries per 100,000 of the population, as well as the conversion of safeguarding concerns to Section 42 enquiries. Statistical hotspots were calculated using the Getis-Ord Gi* for Section 42 enquiries per 100,000 of the population across age classes.

Findings show regional differences across England in terms of the number of documented concerns, Section 42’s and conversion rates. Some regions had statistically higher or lower Section 42 enquiries per 100,000 of population across age classes compared to their bordering geographical neighbours. Reflections on these findings lead to a series of recommendations.

This paper addresses a need to explore further and analyse adult safeguarding data to inform practice, through choropleth mapping.

Global businesses are witnessing a transformation in their products and services, processes and business models due to digitalisation. This trend has led to the digitalisation of innovation and entrepreneurship from the modern business perspective. The present study primarily aims to study how digital innovations shape the landscape of digital entrepreneurship and thematic perspectives.

The present research applied a systematic literature review (SLR) method based on the PRISMA 2020 guidelines, and 47 articles were selected as the final sample size related to digital innovation and digital entrepreneurship. Though the ultimate sample size is acceptable and signifies a small sample size of 40, the choice is still justifiable as it follows the rule of thumb. Hence, “the rule of thumb” empowers the study to meaningfully contribute to the arena using the SLR method, and 40 qualified papers are an adequate lowest threshold number.

This study found that there is little investigation performed from the perspective of digital innovation and digital entrepreneurship. Prior studies researched were centred on innovation and entrepreneurship. The United Kingdom was the leading country that performed research on this domain followed by other countries such as the Netherlands, Sweden and the United States of America.

The present study supports the existing body of knowledge by throwing light on the association of digital innovation and digital entrepreneurship and how it further leads to the development of the digital ecosystem. It also highlights future research opportunities in the domain of digital innovation and digital entrepreneurship.

Predicting commodity futures trading volumes represents an important matter to policymakers and a wide spectrum of market participants. The purpose of this study is to concentrate on the energy sector and explore the trading volume prediction issue for the thermal coal futures traded in Zhengzhou Commodity Exchange in China with daily data spanning January 2016–December 2020.

The nonlinear autoregressive neural network is adopted for this purpose and prediction performance is examined based upon a variety of settings over algorithms for model estimations, numbers of hidden neurons and delays and ratios for splitting the trading volume series into training, validation and testing phases.

A relatively simple model setting is arrived at that leads to predictions of good accuracy and stabilities and maintains small prediction errors up to the 99.273th quantile of the observed trading volume.

The results could, on one hand, serve as standalone technical trading volume predictions. They could, on the other hand, be combined with different (fundamental) prediction results for forming perspectives of trading trends and carrying out policy analysis.

Generative artificial intelligence (GenAI) can potentially improve supply chain management (SCM) processes across levels and verticals. However, despite its promise, the implementation of GenAI for SCM remains challenging, mainly due to the lack of knowledge regarding its key drivers. To address this gap, this study examines the factors driving GenAI implementation in an SCM environment and how these factors optimize SCM performance.

A thorough literature review was followed to identify the drivers. The resultant model from the drivers was validated using a quantitative study based on partial least squares structural equation modeling (PLS-SEM) that used responses from 315 expert respondents from the field of SCM.

The results confirmed the positive effect of performance expectancy, output quality and reliability, organizational innovativeness and management commitment to GenAI usage. Further, they showed that successful GenAI usage improved SCM performance through improved transparency, better decision-making, innovative design, robust development and responsiveness.

This study reports the potential drivers for the contemporary development of GenAI in SCM and highlights an action plan for GenAI’s optimal performance. The findings suggest that by increasing the rate of GenAI implementation, organizations can continuously improve their strategies and practices for better SCM performance.

This study establishes the first step toward empirically testing and validating a theoretical model for GenAI implementation and its effect on SCM performance.