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This paper investigates how gender, ethnicity, and network membership interact to influence how small and medium-sized enterprise (SME) owner-managers become aware of finance support programmes developed by government policy and/or support schemes advanced by the banking industry.

Drawing on expectation states theory (EST), we develop eight sets of hypotheses and employ the UK SME Finance Monitor data to test them using bivariate probit regression analysis.

In general, network membership increases awareness, but more so for government programmes. We also find no differences between female and male owner-managers when in networks. However, we identify in-network and out-network differences by ethnicity, with minority females seemingly better off than minority males.

Business networks are better for disseminating government programmes than industry-led programmes. For native White women, network membership can enhance policy awareness advantage further, whilst for minorities, networks significantly offset the big policy awareness deficits minorities inherently face. However, policy and practice need to address intersectional inequalities that remain in access to networks themselves, information access within networks, and the significant out-network deficits in awareness of support programmes afflicting minorities.

This study provides one of the first large-scale empirical examinations of intersectional mechanisms in awareness of government and industry-led enterprise programmes. Our novel and nuanced findings advance our understanding of the ways in which gender and ethnicity interact with network dynamics in entrepreneurship.

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.

In social marketplaces, follower ego networks are integral social capital assets for online sellers. While previous research has underscored the positive impact of the follower number on seller performance, little attention has been given to the structure of follower networks and their value implications. This research investigates two structural properties of follower networks—network centralization and density—and examines their main and contingent effects on sellers’ sales performance.

A 13-month panel dataset of 1,150 sellers in Etsy, a social marketplace for handmade and vintage products, was collected and analyzed. A fixed effects model was adopted to validate the hypotheses on the main effect of centralization and density, as well as the moderating effects of two store attributes: store age and product diversification.

We find that both network centralization and density negatively impact sellers’ sales performance, and these effects vary across store age and product diversification levels. Specifically, the negative effect of network centralization is less pronounced for older stores than young ones, whereas the negative effect of density is more severe for stores with high product diversification.

This research contributes to social commerce research by highlighting the significance of network structure, alongside network size, in assessing the value of followers and offers practical guidance for sellers in social marketplaces seeking to optimize their follower networks.

A methodological approach is required that complements studies based on surveys, providing a perspective with greater truthfulness and coverage. The study aims to develop a methodology to validate psychological/managerial constructs using data from Google Trends, taking as a case study a critical thinking (CT) scale in organizational domains previously supported by survey data.

The developed methodology consists of eight stages, in which the following is integrated: (1) Internet search interest data (19 Spanish-speaking countries); (2) deductive research processes (e.g. theoretical model, linguistic manifestations, fieldwork, data matrix, analysis statistical, reporting); (3) psychometric properties (e.g. construct validity, criterion validity, reliability) and (4) objective data to examine criterion validity (e.g. unemployment rate).

The application of the methodology produces evidence that supports the reliability (Cronbach’s alpha, Guttman’s λ₄), construct validity (intra-correlations and correlations with reference variables: “entrepreneurship,” “critical thinking,” “soccer,” “beer,” “pornography”) and criterion validity (prediction of unemployment rate) of the CT scale.

The methodology makes it possible to support or invalidate the quality of construct measurement scales by planning, capturing and processing data available on the internet.

This manuscript is useful for research in business management (and related areas), which is intensive in the use of psychological/managerial constructs.

The methodology uses a new type of evidence; it is noninvasive, usually more truthful than responses to surveys, and has greater coverage of people participating indirectly in the study.

This paper aims to investigate delegation decisions in supply chains, exploring the metaphor that consumers who make environmentally and socially responsible choices are equivalent to voters in an election.

This theoretical paper relies on the principles of agency theory to shed light on fundamental challenges that shape our ability to transform supply chains.

This paper unravels two puzzles linked to delegation decisions within sustainable supply chains. It shows that as firms adopt sustainable production systems, their ability to convey relevant information that convinces consumers to enter in a delegation relationship diminishes, ceteris paribus; and once a delegation relationship is established, complementarity within the dimensions of the contract is necessary to guarantee the delivery of sustainability attributes.

The findings of this paper offer insights that can inspire empirical research on sustainable supply chain management.

Policymakers and entrepreneurs willing to incentivize the transformation of supply chains must think about the nature of the relationship between firms and consumers. This paper provides a metaphor that can help practitioners to reinterpret their role as providers or consumers of products and services with sustainability attributes.

This paper provides insights that may enhance the understanding of how individual consumption decisions may contribute to transforming supply chains.

This paper expands the repertoire of theoretical tools that can be applied to study the emergence and resilience of sustainable supply chains.

To date, few studies have incorporated female entrepreneurship into the context of a country that relies heavily on natural resources and still has a wide gender gap due to historically established cultural norms. This study aims to investigate the impact of entrepreneurial ecosystem factors on women’s ability and desire to become entrepreneurs in Saudi Arabia.

The study applied a quantitative method using secondary data from the Adult Population Survey conducted by Global Entrepreneurship Monitor and built upon the recently proposed “Entrepreneurial Ecosystem Approach,” which has three levels: institutional, organisational and individual.

The findings demonstrate the significant roles that different entrepreneurial ecosystem dimensions can play in determining female entrepreneurial activity. Relationships were found among the variables of the three dimensions, indicating that broader institutional conditions can impact women becoming entrepreneurs.

A multi-year analysis could not be performed because the country data from one year limited the research to conditions in that time frame.

The findings advance entrepreneurial research by empirically examining the influencers' factors on women becoming entrepreneurs in a fast-growing emerging economy, collectivist society and non-European and non-North American institutional environment. The research tested a framework that gives more insight into the diverse factors affecting women in entrepreneurship at different levels.

In light of the recent changes in the internal audit (IA) landscape, the role of auditors has undergone a significant transformation. This paper aims to investigate the effects of applying Lean Six Sigma (LSS) techniques on the effectiveness and efficiency of IA.

The study used a quantitative approach, surveying Iranian internal auditors with a sample size of 384 participants. Data analysis involved confirmatory factor analysis and structural equation modeling.

The analyses demonstrate a significant association between LSS application and IA effectiveness and efficiency. In addition, an exploratory analysis indicates that the application of LSS techniques by less experienced internal auditors had a reverse effect on IA function quality as a component of IA competency. However, IA motivation factors, including education and position, did not mediate the impact of LSS on IA effectiveness and efficiency.

This study was conducted with Iranian internal auditors, which may limit the generalizability of the findings to other countries. However, the primary academic implication of this research lies in its novel perspective on emphasizing the concept of continuous improvement in IA through the use of LSS techniques. By focusing on the need for internal auditors to add value to the business in new ways, this research contributes to the literature on IA quality.

This study has significant implications for the effective management of IA departments. By promoting the application of LSS techniques in IA, lean auditing is enhanced, and IA can create value by improving the quality of its functions. Moreover, IA regulators can benefit from this study as it emphasizes providing guidance and training on LSS techniques to enhance IA skills.

This research is pioneering in applying LSS methodology to enhance the effectiveness and efficiency of internal auditing. It also considers the integration of lean thinking into current audit practices, making it unique and valuable in internal auditing research.

By examining types of literacies taught by public libraries and the modes through which these programs were offered, this study aims to explore how public libraries might integrate data literacy training for the general public into existing library educational programs.

This study examined programs offered in 30 US public libraries during 2019 and 2020 to better understand types of literacy education announced to the public through library website listings and Facebook Events pages.

While public libraries offered educational programs in literacy areas ranging from basic reading and writing to technology, vocational skills, health literacy and more, data literacy training was not widely offered. However, this study identified many already-existing programs highly compatible for integrating with data literacy training.

This study offered new insights into both the literacies taught in public library programs as well as ways for public libraries to integrate data literacy training into existing educational programming, in order to better provide data literacy education for the general public.

Teaching wine tasting online is challenging, even given the curated digital tools of the Wine and Spirit Education Trust, a highly renowned online wine certification system is used. This paper aims to initially explore wine experts’ opinions about online wine education and subsequently examine the feasibility of customizing wine appreciation lexicons for Chinese learners.

A two-study multimethod approach was adopted. Study 1, a two-stage Delphi study, was conducted with 17 wine experts representing a number of countries, using a mix of closed/open-ended questions in an online survey. Data was collected in a market study in Study 2, conducted at agricultural markets in Thailand (pilot test) and China. Dialogues with market sellers were undertaken, evoking mental imagery of wine descriptors to explore the relevance of traditional versus local aromas and flavors in describing wine.

Findings concentrate on three main areas: general advantages/disadvantages of online wine education, reactions toward asynchronous/synchronous methods of wine tasting and, finally, the feasibility of customizing a wine appreciation lexicon for Chinese learners.

The study presents novel insights into the role of online wine education in China.