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The case examines the development and launch of an exchange-traded fund (ETF) based on JUST Capital's socially responsible corporate ranking methodologies. The case provides a market overview of Environment, Social, and Corporate Governance (ESG) and socially responsible investing (SRI), what has driven growth in those areas worldwide, and several best-practice investment approaches. Following the overview, the case describes the founding and development of JUST Capital, explores JUST Capital's ranking methodologies, and presents the decision point faced by the CEO: requisite selection of one of three strategies in order for JUST Capital to generate “self-sustaining” revenue.

The mental and physical health of those residing in Australian rural and remote communities is poorer compared to major cities. Physical health comorbidities contribute to almost 80% of premature mortality for people living with mental illness. Leisure time physical activity (LTPA) is a well-established intervention to improve physical and mental health. To address the physical and mental health of rural and remote communities through LTPA, the community’s level of readiness should be first determined. This study aims to use the community readiness model (CRM) to explore community readiness in a remote Australian community to address mental health through LTPA.

Individual semi-structured interviews were conducted using the CRM on LTPA to address mental health. Quantitative outcomes scored the community’s stage of readiness for LTPA programmes to address mental health using the CRM categories of one (no awareness) to nine (high level of community ownership). Qualitative outcomes were thematically analysed, guided by Braun and Clark.

The community scored six (initiation) for community efforts and knowledge of LTPA programmes and seven (stabilisation) for leadership. The community’s attitude towards LTPA and resources for programmes scored four (pre-planning), and knowledge of LTPA scored three (vague awareness).

To the best of the authors’ knowledge, this is the first Australian study to use CRM to examine community readiness to use LTPA to improve mental health in a remote community. The CRM was shown to be a useful tool to identify factors for intervention design that might optimise community empowerment in using LTPA to improve mental health at the community level.

The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of the otherwise pervasive field of bankruptcy prediction models. The authors aim to present state-of-the-art bankruptcy prediction models assembled by the field's core authors and critically examine the approaches and methods adopted.

The authors conducted a literature search in November 2022 through scientific databases Scopus, ScienceDirect and the Web of Science, focussing on a publication period from 2010 to 2022. The database search query was formulated as “Bankruptcy Prediction” and “Model or Tool”. However, the authors intentionally did not specify any model or tool to make the search non-discriminatory. The authors reviewed over 7,300 articles.

This paper has addressed the research questions: (1) What are the most important publications of the core authors in terms of the target country, size of the sample, sector of the economy and specialization in SME? (2) What are the most used methods for deriving or adjusting models appearing in the articles of the core authors? (3) To what extent do the core authors include accounting-based variables, non-financial or macroeconomic indicators, in their prediction models? Despite the advantages of new-age methods, based on the information in the articles analyzed, it can be deduced that conventional methods will continue to be beneficial, mainly due to the higher degree of ease of use and the transferability of the derived model.

The authors identify several gaps in the literature which this research does not address but could be the focus of future research.

The authors provide practitioners and academics with an extract from a wide range of studies, available in scientific databases, on bankruptcy prediction models or tools, resulting in a large number of records being reviewed. This research will interest shareholders, corporations, and financial institutions interested in models of financial distress prediction or bankruptcy prediction to help identify troubled firms in the early stages of distress.

Bankruptcy is a major concern for society in general, especially in today's economic environment. Therefore, being able to predict possible business failure at an early stage will give an organization time to address the issue and maybe avoid bankruptcy.

To the authors' knowledge, this is the first paper to identify the core authors in the bankruptcy prediction model and methods field. The primary value of the study is the current overview and analysis of the theoretical and practical development of knowledge in this field in the form of the construction of new models using classical or new-age methods. Also, the paper adds value by critically examining existing models and their modifications, including a discussion of the benefits of non-accounting variables usage.

The purpose of this study is to examine the underexplored link between entrepreneurship education (EE) and graduate employability in the higher education (HE) sector in the United Kingdom (UK).

The study draws on a thematic content analysis of semi-structured interviews with 45 professionals in UK HE, representing the “supply” side of EE.

The findings demonstrate a unidirectional link between EE and employability outcomes. This link is affected by societal, stakeholder-related, and teaching and learning-related factors.

Although the value of universities’ initiatives connecting EE and employability for economic development is emphasized, the study does not provide direct empirical evidence for this effect. Macroeconomic research is needed.

EE and employability would benefit from knowledge exchange between universities’ stakeholders and a broader understanding of what constitutes a valuable graduate outcome.

The study reveals the benefits of EE on a micro level. Participation in EE supports the connection between individual investments in HE and employability.

Based on human capital theory, many policymakers regard EE as a vehicle through which the relationship between investments in HE and career success on a micro level and economic growth on a macro level can be nurtured. Challenging this logic, the study highlights the potential of institutional theory to explain a contextualization of the link between EE and employability on a national level.

This study, a theoretical article, aims to introduce new institutionalism as a framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although the new institutional theory is a fully established research program, the neo-institutional literature on AI is almost non-existent. There is, therefore, a need to develop a deeper understanding of AI as both the product of institutional forces and as an institutional force in its own right.

The authors follow the top-down approach. Accordingly, the authors first briefly describe the new institutionalism, trace its historical development and introduce its fundamental concepts: institutional legitimacy, environment and isomorphism. Then, the authors use those as the basis for the queries to perform a scoping review on the institutional role of AI in organizations.

The findings reveal that a comprehensive theory on AI is largely absent from business and management literature. The new institutionalism is only one of many possible theoretical perspectives (both contextually novel and insightful) from which researchers can study AI in organizational settings.

The authors use the insights from new institutionalism to illustrate how a particular social theory can fit into the larger theoretical framework for AI in organizations. The authors also formulate four broad research questions to guide researchers interested in studying the institutional significance of AI. Finally, the authors include a section providing concrete examples of how to study AI-related institutional dynamics in business and management.

This study aims to explore how females on committees (FOC) and committee ethnic diversity (CED) impact environmental, social and governance performance (ESGP).

This study examines 126 listed firms under the coverage of FTSE ESG Ratings in Bursa Malaysia between 2017 and 2019. This study applies partial least squares structural equation modeling (PLS-SEM) to examine the hypotheses. While the risk of common method variance is minimised using multiple data sources for the analysis, instrumental variable-free approach, i.e. Gaussian copula method which is implemented in SmartPLS 4.0 has been used to address the potential endogeneity of the model.

Empirical evidence demonstrates significant positive direct relationships between FOC and ESGP, as well as CED and ESGP. The argument of resource dependence theory and positive empirical results on the two direct relationships hold firm despite several committees being aggregated as one construct with the aim of providing different insights into the literature.

This study provides implications for firm leadership to consider reviewing the composition of committees by increasing female representation while striking a balance in the appointment of committee members of different ethnicities to enhance firm ESGP.

To the best of the author’s knowledge, this study adopts a holistic approach by capturing, for the first time, the female representation of audit, nomination, remuneration and risk management committees. These dimensions are further developed into a single quantifiable variable, presented as FOC. Similarly, the ethnic diversity of the respective committees is aggregated and developed into a single quantifiable construct: the CED. Unlike most existing studies that commonly use econometric software, the application of PLS-SEM in this study contributes to the limited body of corporate governance and ESG studies that use PLS-SEM.

The purpose of this study is to investigate the views of African higher education scholars about effective leadership and if those views reflect a unique, African meaning of leadership.

The study sought to explore the views of African higher education scholars about leadership in general and if those views reflect a unique, African meaning, that does not necessarily fit the widely accepted western theories. Using a researcher-designed questionnaire, higher education faculty and administrators were asked their understanding and beliefs about leadership. Data from quantitative responses were analyzed using descriptive statistics and t-test. In addition, qualitative answers, from one open ended question, were utilized to possibly triangulate with quantitative responses.

This study found that most research participants believe that the widely used western leadership theories are not fully applicable to Africa's context. However, the list of qualities of effective leadership, these participants suggest to be unique to Africa, included mixed attributes from Western, Non-Western and Culture-Neutral theories.

This study has some limitations. First, the data for this study was collected electronically which might have affected the potential responses from those with limited Internet connection or who have not updated their current email addresses. Second, the participants of the study are higher education professionals whose insight about leadership may not necessarily reflect the views of others from different background.

By examining leadership effectiveness in Africa's context, this study adds to the body of literature on the ongoing discussion on the topic of culture and leadership. It is hoped that the findings of the study provide important insights regarding the debate on “western vs non-western” leadership theories.

The universal understanding of leadership and the application of leadership theories across cultures have been an issue of debate for leadership scholars and practitioners around the globe. Many authors argue that the widely used leadership theories are “too western” in value and character (Bass, 1990; Hofstede, 1993; House and Aditya, 1997). This study adds the perspectives of African scholars to the ongoing debate and expands the understanding about leadership across culture.

Purpose: This study analyses the mediating effect of parasocial interaction (PSI) in the link between hedonic motivation and impulsive buying intention (IBI) in fashion vlogging about sustainable cosmetics.

Need for the Study: Due to the mass popularity of YouTube, vlogging has led to an augmented level of PSI of vloggers with consumers, which strongly impacts a consumer’s behavioural consequences and persuades consumers to indulge in impulsive buying. Thus, marketers need to comprehend the changing behavioural patterns, including sustainable products, as this new communication medium serves the future of promotion and advertising.

Methodology: Online questionnaires were administered to 349 Gen Z female fashion vlog followers. Structural equation modelling and Hayes Process macros were employed to test the model relationships.

Findings: Results indicate that PI with the fashion vlogger partially mediates between hedonic motivation and impulse buying intention for sustainable cosmetic products. Fashion consciousness (FC) was also established as a significant moderator between all the model relationships.

Practical Implications: The findings of the study would be helpful for fashion brands in the content development of visual marketing communications, which would tap the female Gen Z consumer. Improving the PSI between the follower and the fashion vlogger can be easily enhanced by delivering the right content through the vlogger’s videos.

Emerging economies have been highlighted as an important growth source of the global economy. However, this group of countries has not received enough academic attention yet. Therefore, this study aims to identify the impact of research and development (R&D) expenditure on economic growth in emerging economies.

The theoretical framework of the production function is applied to quantitatively analyse the impact of R&D expenditure on economic growth with a sample of 29 emerging economies in the period between 1996 and 2019.

The panel cointegration test confirms the existence of long-run cointegration relationships between economic growth and independent variables in these emerging economies. Besides, the estimated results show that the national R&D expenditure has positive effects on economic growth from both direct and interaction dimensions. This evidence has filled the empirical research gap in the R&D-growth nexus in the case of emerging economies. Finally, while gross capital and education have positive impacts on growth, corruption has a harmful effect on economic growth in these countries.

The results highlight that policymakers should enhance R&D expenditure and R&D activities as the key national development strategy. The investment in R&D not only helps emerging economies avoid the middle-income trap but also pushes these countries to successfully join the group of developed countries.

To the best of the authors’ knowledge, this research is among the first to examine the impact of R&D expenditure on economic growth with a homogeneous sample of emerging economies. The results are obviously helpful for policymakers to use R&D as the key development strategy for supporting economic growth in emerging economies in the future.