The incidence of mental health problems is increasing in the United Kingdom and may be associated with lower dietary quality. Food expenditure is a marker of food insecurity with potential implications for mental health. This analysis considers data collected as part of the United Kingdom Household Longitudinal Survey (UKHLS), also known as ‘Understanding Society’ (2009-2021) (N=388,944) to determine the extent to which food expenditure within and outside the household, is associated with mental health, whilst controlling for demographic factors. Mental health was measured using the General Health Questionnaire (GHQ-12) for which responses were on a 4-point scale and reverse-scored so that a higher score represented more favourable mental health. Household food expenditure and food expenditure outside the home were the outcomes. Controlling for socioeconomic and demographic factors, fixed-effects models indicated that better mental health was associated with greater household food expenditure and with greater food expenditure outside the home and that this association persisted post-lockdown. Among those on lower incomes better mental health was associated with lower food expenditure. When people who identified as white and non-white were modelled separately, better mental health was associated with lower food expenditure within and beyond the household only in those who identified as white. These findings imply that the mental health of people residing in the UK, particularly those on lower incomes and those who identify as white, may benefit from spending less of the household budget on food. In achieving United Nations General Assembly (2012) Sustainable Development Goals related to poverty, hunger and in promoting mental health, policies are needed to render food more affordable and to reduce other aspects of expenditure that impact upon food budgeting.

The configuration of the entrepreneurial university remains poorly understood given the complexity of the university as an organisation with multiple missions and multiple ‘products and services’, delivered by multiple and sometimes competing sub-organisations with different cultures and norms, in response to different outside pressures and demands. The outcomes of the entrepreneurial university reflect the plurality of goals, including research, teaching, knowledge commercialisation, and civic and community empowerment, but they are rarely considered within the same conceptual and empirical framework. Hence, the aim of this paper is to explore how multiple and sometimes competing strategies and associated arrangements, resources and capabilities within the entrepreneurial university affect the delivery of economic and social benefits to the external world across teaching, research, knowledge commercialisation, and civic and community empowerment missions. To achieve this aim, we elaborate the entrepreneurial university ecosystem concept so that we can systematically capture the cross-influences of the entrepreneurial university elements in their entirety rather than focussing on selected ecosystem elements and their effects in relation to one particular university mission. Our analysis is based on a novel institution-level database on university strategies, goals, policies, and support mechanisms, providing annual data for all higher education institutions in the UK over the period 2017–2020, complemented with annual administrative data on staff, finances, graduate outcomes, and infrastructure, as well as contextual data on the wider regional entrepreneurship ecosystem. Using a Seemingly Unrelated Estimation approach, we contribute with novel fundings explicitly identifying synergies and tensions between different elements of the entrepreneurial university ecosystem that affect the delivery of its outcomes.

This study aims to address a critical gap in the literature by examining the incorporation of uncertainty in measuring carbon emissions using the greenhouse gas (GHG) Protocol methodology across all three scopes. By comprehensively considering the various dimensions of CO2 emissions within the context of organizational activities, our research contributes significantly to the existing body of knowledge. We address challenges such as data quality issues and a high prevalence of missing values by using information entropy, techniques for order preference by similarity to ideal solution (TOPSIS), and an artificial neural network (ANN) to analyze the contextual variables. Our findings, derived from the data sample of 56 companies across 18 sectors and 13 Brazilian states between 2017 and 2019, reveal that Scope 3 emissions exhibit the highest levels of information entropy. Additionally, we highlight the pivotal role of public policies in enhancing the availability of GHG emissions data, which, in turn, positively impacts policy-making practices. By demonstrating the potential for a virtuous cycle between improved information availability and enhanced policy outcomes, our research underscores the importance of addressing uncertainty in carbon emissions measurement for advancing effective climate change mitigation strategies.

Building on the perspectives of the theory of planned behaviour, behaviour spillover, and social bond, this study develops and tests an integrative framework that explores the linkages between hotel employees’ organisational commitment (OC) and pro-environmental behaviour in the home (PEBH) as key antecedents affecting their intention to adopt green practices in the workplace (IGPW). We further examine the moderating role played by green organisational climate (GOC). Empirical results from 407 Malaysian hotel employees show that employees’ PEBH enhances IGPW via attitude and perceived behavioural control (PBC); OC positively affects intention mediated only by attitude, and GOC strengthens the effect of OC on PBC. These findings provide novel evidence concerning the importance of the contextual and organisational environment in shaping employees’ green behaviour.

Undesirable outputs can be challenging to avoid in the production of goods and services, often overlooked. Pollution is generally regarded as a negative externality and is taken into account during the production process. The novelty of this study lies in introducing CO2 as an economic “bad” in the energy sector's efficiency measure through a stochastic data envelopment analysis (DEA) cross-efficiency model. Unlike pollution and economic goods, where increased production leads to more pollution, CO2 is weakly disposable, meaning that higher CO2 values lead to a decrease in the number of good outputs produced. The study proposes a new stochastic model based on an extension of the cross-efficiency model and applies it to measure the energy efficiency of 32 thermal power plants in Angola in the presence of undesirable outputs. This will help promote better environmental management. The study's findings offer vital policy insights for the energy sector. The introduction of new stochastic models enables more accurate efficiency measurement under uncertain conditions, aiding policymakers in resource allocation decisions. Additionally, the adoption of stochastic cross-efficiency methods enhances performance assessments, facilitating targeted interventions for underperforming units. These findings contribute to evidence-based policymaking, promoting sustainability and competitiveness within the energy sector.

This study examines the effects of organizational financial capacity on sustainable procurement and the extent to which socially responsible human resource capability and sustainability leadership mediate this relationship. Data obtained from 322 organizations through quantitative surveys were analyzed using structural equation modeling. The results suggest the following: financial capacity has a significant positive effect on sustainable procurement; financial capacity has a significantly positive effect on socially responsible human resource capability; sustainability leadership and socially responsible human resource capability mediate the positive effect of financial capacity on sustainable procurement. The research contributes to the literature a perspective on the mechanisms through which organizational financial capacity influences sustainable procurement via socially responsible human resource capability and sustainability leadership. The insights provided will inform management decisions and actions regarding how organizational finance can be leveraged strategically to optimize sustainable corporate practices and outcomes.

Purpose: Sustainability is viewed as an encompassing perspective, as endorsed by the international policy context, driven by the UN’s Sustainable Development Goals (SDGs). We aim to examine how women entrepreneurs transform capitals to pursue sustainability, and to generate policy insights for sustainability actions through tourism entrepreneurship. Design/methodology/approach: Applying qualitative approach, we have generated empirical evidence drawing on 37 qualitative interviews carried out in Turkey, whereby boundaries between traditional patriarchal forces and progressive movements in gender relations are blurred. Findings: We have generated insights into how women entrepreneurs develop their sustainability practice by transforming their available economic, cultural, social and symbolic capitals in interpreting the macro-field and by developing navigation strategies to pursue sustainability. This transformative process demonstrates how gender roles were performed and negotiated in serving for sustainability pillars. Research limitations/implications: In this paper, we demonstrate the nature and instrumentality of sustainable tourism entrepreneurship through a gender lens in addressing some of these SDG-driven challenges. Originality/value: We advance the scholarly and policy debates by bringing gender issues to the forefront, discussing sustainable tourism initiatives from the viewpoint of entrepreneurs and various members of local community and stakeholder in a developing country context where women’s solidarity becomes crucial.

Reviews and ratings of consumers towards a product impact consumer decision-making and their perceptions. Such information is key in measuring consumer satisfaction and net promoter scores. However, when the reviewed products are refurbished, consumer reviews become more important because information influences consumer behaviour and attitude toward looped products. This research explores the decision-influencing attributes of consumers while purchasing refurbished goods using quantitative and qualitative methods. Online after-sales 1986 laptop customers’ review and rating data in the public domain were analysed to reveal the decision-influencing attributes and their impact on potential consumers. The study envisions assisting the operations of sellers in the refurbished market by strengthening their businesses' value proposition and stimulating reverse logistics entrepreneurs to use the opportunity. Review data containing lifecycle valuation of old laptops induced feature extraction by machine learning applications. It is beneficial to sellers in the refurbished product segment. It provides information to strengthen their value proposition and is informative to entrepreneurs wanting to enter the segment. Based on the text analysis of consumer reviews, the study's results show that price, brand, design, performance, services, and utility influence consumers. The frequency analysis technique was used to extract attributes, followed by content analysis and feature selection using SHapley Additive exPlanations (SHAP) for exploring correlations between features and star ratings. Lastly, multinomial logistic regression was used to validate the generated model. The results show that brand, design, price, and utility are the most prominent attributes influencing consumers' decision-making with positive sentiments. In contrast, performance and services often generate neutral and negative sentiments.

Digital health twins (DHTs) have been evolving with their diverse applications in medicine, specifically in older care settings, with the increasing demands of older adults. DHTs have already contributed to improving the quality of dementia and trauma care, cardiac treatment, and health care services for older individuals. Despite its many benefits, the optimum implementation of DHTs has faced several challenges associated with ethical issues, quality of care, management and leadership, and design considerations in older care settings. Since the need for such care is continuously rising and there is evident potential for DHTs to meet those needs, this review aims to map key concepts to address the gaps in the research knowledge to improve DHT implementation. The review aims to compile and synthesize the best available evidence regarding the problems encountered by older adults and care providers associated with the application of DHTs. The synthesis will collate the evidence of the issues associated with quality of care, the ethical implications of DHTs, and the strategies undertaken to overcome those challenges in older care settings. The review will follow the Joanna Briggs Institute (JBI) methodology. The published studies will be searched through CINAHL, MEDLINE, JBI, and Web of Science, and the unpublished studies through Mednar, Trove, OCLC WorldCat, and Dissertations and Theses. Studies published in English from 2002 will be considered. This review will include studies of older individuals (aged 65 years or older) undergoing care delivery associated with DHTs and their respective care providers. The concept will include the application of the technology, and the context will involve studies based on the older care setting. A broad scope of evidence, including quantitative, qualitative, text and opinion studies, will be considered. A total of 2 independent reviewers will screen the titles and s and then review the full text. Data will be extracted from the included studies using a data extraction tool developed for this study. The results will be presented in a PRISMA-ScR (Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews) flow diagram. A draft charting table will be developed as a data extraction tool. The results will be presented as a "map" of the data in a logical, diagrammatic, or tabular form in a descriptive format. The evidence synthesis is expected to uncover the shreds of evidence required to address the ethical and care quality-related challenges associated with applying DHTs. A synthesis of various strategies used to overcome identified challenges will provide more prospects for adopting them elsewhere and create a resource allocation model for older individuals. DERR1-10.2196/51153.

Sustainable servitisation for organisations, as an indispensable part of their sustainable development, has increasingly come to the attention of both academics and practitioners. Whilst the servitisation literature is diverse and growing, our understanding of what sustainable servitisation is and a holistic view of how it is developed and implemented is limited. To address these gaps, we provide a systematic literature review enabled by an active machine-learning tool using 66 journal articles on sustainable servitisation. We have redefined the term sustainable servitisation based on an in-depth literature analysis. From the purview of sustainable servitisation as a mechanism for organisational change, we also synthesised what is known about sustainable servitisation into a holistic framework. Notably, rather than focusing on how sustainable servitisation can be better designed, as most existing studies have done, we argue that a dynamic and processual view of sustainable servitisation is required to advance theoretical and practical knowledge.