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The paper aims to analyze the contradiction between green consumers' behavior and green technology foods offered to them. An analysis of papers from different authors showed that green consumers are willing to make conscious food consumption. However, factors like price, knowledge about the green cause, consumer income, reference groups, shopping convenience, and food availability influence their final consumption. Collective intelligence is a solution for green consumers to make better decisions: it also involves challenges, ethical considerations, and avoiding political influences on shared information. In conclusion, governments and food producers must do a lot to ensure green consumers have enough tools to make informed and sustainable alimentary decisions.

Investment and financing decisions are especially important in a family firm context, as family and business dynamics interact to produce unique behaviors that may affect these decisions. However, research on how the family nature of these firms shapes their investment and financing preferences is still lacking. To help fill this gap, this study aims to provide a robust picture of the literature to identify key questions that can help guide future research. Using a systematic approach based on bibliometrics and network analysis of 891 papers published in the Web of Science database between 1992 and 2023, we show the evolution of research in terms of publications and identify the most active and influential articles, authors, and journals. Using bibliographic coupling analysis, the paper reveals the thematic structure and trends of the research. This study provides valuable insights into the future by identifying knowledge gaps and offering guidance to both researchers and practitioners seeking to understand the specific needs and challenges faced by family firms in their investment and financing endeavors.

Employee wellbeing is a crucial challenge in many organisations in South Africa and abroad. Interventions at a management level are vital to ensure that organisations do not lose quality employees due to poor employee well-being. Therefore, the paper assessed the strategies that can be used to enhance the well-being of academics in an institution of higher learning in South Africa. The paper employed a qualitative approach to collect data from the Management Committee (MANCO) at the Durban University of Technology in Durban, South Africa. Purposive sampling was be used to collect data directly from the MANCO. All data are analyzed using Nvivo. Findings from the study revealed that leadership plays a pivotal role in the well-being of employees. The findings of the paper can assist the management of the university with solutions related to the turnover of academics and will also be a wake-up call to other universities on the subject matter.

Graduate education plays a role in improving the scope for employability of graduates. It empowers them with specialized skills, advanced knowledge, and critical thinking, which increases the scope for their employability. However, in the case of Saudi Arabia, it has been reported that there is widespread unemployment in the country. Though the Saudi Arabian government has initiated measures to nurture development in education through their ‘Saudi Vision 2030’ program, a gap exists. There are strong indictors which point at a mismatch of knowledge and skills possessed by graduates in Saudi, and the requirements of the labour market. Therefore, this paper examines the apparent gap between academia and employers in terms of employability, while focusing on whether graduate students have the same set of skills that employers require. Using a review method, information was derived from secondary sources, mainly from papers having examined the same topic previously. From the findings, academia believed that the educational system needed an overhaul and economic diversification, with the creation of new employment opportunities. Though employers believed that Saudi graduates lacked soft skills impacting their employability. It was concluded that a collaboration between students and employers was required, where employers could offer inputs supporting graduate employability.

In this paper I consider the question of self-governing in relation to MacIntyrean practices. It is not uncommon to discover MacIntyrean practices being described as self-governing in at least some sense. However, while there are seemingly valid reasons for why this might be thought the case, in my paper I argue that there is something very different visible in MacIntyre’s writings here. Indeed, what I want to emphasise regarding MacIntyre’s position in relation to the governing of practices is that rather than self-governing, at most MacIntyrean practices are self-directing or self-guiding. Therefore, although for MacIntyre governing of practices is fundamentally important, what I draw attention to is how, on the whole, this governing happens from outside, and that direction and guidance if and when it does happen, happens in a very specific, internal way aside from governing.

This study reveals how a company designed and developed a shared value initiative from a new product line, contributing to the sustainable development goals in Peru. The paper aims to identify the main characteristics of the collective impact achieved by Shared Value strategies of the Peruvian multinational company, AJE Group. The authors use an empirical case study of one of the biggest multinational companies in Peru to build upon Kramer’s model for shared value initiatives and analyze each of its five elements for shared value. The findings of this paper allow practitioners, as well as policy-makers, to identify sustainable managerial practices and opportunities for sustainability-oriented public policy design which can be implemented in other organizations.

The main aim of this paper is to study the phenomenon of the coexistence of firms with illegal characteristics and firms showing legal behaviour in developed economies by using an evolutionary competition model known as the Lotka-Volterra equations. Enterprises in a ‘legal system’ obey the extant laws, particularly market rules, while enterprises in an ‘illegal system’ disregard them. Illegal enterprises have a competitive advantage over legal enterprises, yet they cannot survive if legal enterprises disappear completely. The numerical solution of the Lotka-Volterra equations are used to show how there can be a situation of coexistence between legal and illegal enterprises and how state intervention can help reduce illegality in an economic system. This paper outlines a new approach to address the problem of coexistence because it uses non-linear and evolutionary tools to define the competition between legal and illegal firms. The research gap presented in this paper is addressed using the predator-prey scheme to model the competition between legal and illegal firms, which is perceived as the competition between two populations with different fitness levels (survival probabilities). This competition gives rise to three different types of possible equilibrium outcomes: survival of only legal firms, survival of only illegal firms and coexistence of these two types of firms. An empirical analysis of an Italian case study confirms the results of this paper's theoretical model.

Objective: Entrepreneurs are responsible for innovation, but they do not act in the vacuum, the greater the support for their action, the improve the chances of success. Startups - technology-based companies with high potential for growth and impact - are associated with the existence of entrepreneurial ecosystems that facilitate entrepreneurial action. This paper goal is to provide evidence that help to explain why startups fail in an emerging entrepreneurial ecosystem. Method: We perform exploratory research in which entrepreneurs whose startups failed in the emerging entrepreneurial ecosystem of Porto Alegre, Brazil, were interviewed. We complement the analysis with the collection of secondary data. Results: Building on Isenberg’s (2011) six domains, we generate ideas on how each of them in emergent entrepreneurial ecosystem may influence startup mortality. Our results indicate that emerging entrepreneurial ecosystem could be much better in avoiding the premature failure of startups. Policy and Finance are the most problematic domains, while culture, support, and markets are the three middle-ground dimensions. These last three need improvement, but they are not as critical as the first two. Contributions: This paper contributes to the entrepreneurial ecosystems literature by exploring how emergent ecosystems contribute for discontinuity of promising startups. Originality: Besides entrepreneurial mistakes, problems that are out of the entrepreneur control can also cause a venture's death (Cardon et al., 2011). Building on this, we use Isenberg's (2010; 2011) model for understanding the influence of the entrepreneurial ecosystem on the circumstances that entrepreneurs faced that determined their startup failure (Jenkins & McKelvie, 2016). Social Contributions: by better understanding why startups fail in emerging entrepreneurial ecosystems, we support policymakers in their focus on possible improvements of the features that seem most relevant to entrepreneurs. The public agents can then work to provide a better environment for future entrepreneurial endeavors.

Objective: The objective of this paper was to analyze the bidirectional relationship between financial development and economic growth for a dataset of Latin American and Asian developing countries between 2001 and 2019. Method: This research employed an empirical approach to analyze the statistical relationship between financial development and economic growth, by presenting an estimation of a system of simultaneous equations for a panel of Asian and Latin American countries using 3SLS. Main Results: The results presented in this research provided evidence that financial development does not appear to have a significant impact on economic growth, although growth appears to have a significant and positive influence on financial development. Moreover, the results also suggested that regulatory quality and domestic credit directed to the private sector have a positive effect on economic growth, while urbanization and education showed a negative influence on growth. The estimated model also indicated that urbanization has a positive influence on financial development while foreign direct investment presented a negative effect on the development of the financial sector. Relevance / Originality: Most of the research agenda on the topic of finance and growth has focused on identifying correlation or causality between these variables, with little attention given to the simultaneous relationship between them. This is still a clear gap in economic literature. Following this premise, the objective of this paper was to analyze the bidirectional relationship between financial development and growth by estimating a system of simultaneous equations using the Zellner and Theil’s (1962) 3SLS methodology. In this sense, the main contribution will be given empirically, based on data and analysis from emerging countries in Latin America and Asia. The fact that financial development has an influence on growth and growth plays a role on the development of the financial sector indicates a simultaneous relationship between these variables. Another relevant contribution is to update the debate on financial systems and economic development for emerging countries, highlighting institutional aspects and financial cycles. Theoretical / Methodological Contributions: The main contribution of this study is in the empirical strategy, whose results dialogue with part of the literature on the financial system and development presented along the text. That is, this research explored the statistical relationship between economic development and financial development for a sample composed by twenty-two Asian and Latin American emerging countries, using a simultaneous equations model.

Recently, the use of machine learning (ML) in scientific disciplines has experienced an unprecedented increase. Finance has not been an exception. Several works have been published in recent years using ml techniques. However, one of the topics with the least number of developed papers is volatility in this context. Nevertheless, the data analyzed here suggest changes regarding this issue. Data obtained from the Web of Science database show that between 2001 and 2010 there were 33 published papers associated with this topic. Surprisingly, between 2019 and 2023, 189 manuscripts have been published related to this topic. The purpose of this work is to review the works related to the applications of ml in volatility. For this, a classification of the main proposals on this topic is proposed following a narrative methodology, accompanied by a statistical and bibliometric analysis in which novel techniques such as K-means were used. The results are suggestive. Although most papers focus on volatility prediction through neural networks and support vector machines, there is a lack of studies related to volatility transmission, calibration of volatility surfaces, and corporate finance. Moreover, the obtained results indicate that there is a gap in the production of works related to these topics in finance and economics specialized journals.