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The purpose of this paper is to identify the causal (not correlational) effect of women’s entrepreneurship on corporate social responsibility (CSR) practices in Latin America.

This study builds on a hitherto unexploited sparse data set on Latin American B Corporations to identify the causal relationship of interest and on a (synthetic) instrumental variable method.

The results confirm that women’s entrepreneurship has a positive causal effect on social responsibility. This study finds that an increase of 1% in the proportion of women entrepreneurs leads to an increase of 0.5 in the B Impact Assessment score, the CSR indicator.

This study contributes to the literature by providing robust statistical evidence of a causal relationship between women entrepreneurs and social responsibility practices in the Latin American context. This research captures the multidimensional nature of social responsibility by using a comprehensive and vast metric of CSR obtained from the data of the B Impact Assessment tool. This study illustrates how machine learning methods can be used to address the lack of structure of the Latin American B Impact Assessment data.

El propósito de esta investigación es identificar el efecto causal (no correlacional) del emprendimiento de mujeres en las prácticas de responsabilidad social empresarial (RSE) en América Latina.

Nos basamos en un conjunto de datos escasamente explorado hasta el momento sobre las Empresas B en América Latina para identificar la relación causal de interés, y utilizamos un método de Variables Instrumentales (VI) sintéticas.

Nuestros resultados verifican el efecto causal positivo del emprendimiento de las mujeres en la responsabilidad social. Descubrimos que un aumento del 1% en la proporción de mujeres emprendedoras conduce a un aumento de 0.5 en la puntuación de la Evaluación de Impacto B, nuestro indicador de RSE.

Contribuimos a la literatura proporcionando evidencia estadística sólida de una relación causal entre emprendedoras mujeres y prácticas de responsabilidad social en el contexto de América Latina. Esta investigación captura la naturaleza multidimensional de la responsabilidad social mediante el uso de una métrica amplia y vasta de RSE obtenida de los datos de la herramienta de Evaluación de Impacto B. Ilustramos cómo se pueden utilizar métodos de aprendizaje automático para abordar la falta de estructura de los datos de evaluación de impacto B en América Latina.

O propósito desta pesquisa é identificar o efeito causal (não correlacional) do empreendedorismo feminino nas práticas de responsabilidade social corporativa (RSC) na América Latina.

Baseamo-nos em um conjunto de dados escasso até então não explorado sobre as Empresas B na América Latina para identificar a relação causal de interesse, e utilizamos um método de Variáveis Instrumentais (VI) sintéticas.

Nossos resultados verificam o efeito causal positivo do empreendedorismo feminino na responsabilidade social. Descobrimos que um aumento de 1% na proporção de mulheres empreendedoras leva a um aumento de 0,5 no escore de Avaliação de Impacto B, nosso indicador de RSC.

Contribuímos para a literatura fornecendo evidências estatísticas robustas de uma relação causal entre empreendedoras mulheres e práticas de responsabilidade social na América Latina. Esta pesquisa captura a natureza multidimensional da responsabilidade social usando uma métrica abrangente e vasta de RSC obtida a partir dos dados da ferramenta de Avaliação de Impacto B. Ilustramos como métodos de aprendizado de máquina podem ser usados para lidar com a falta de estrutura dos dados de avaliação de impacto B na América Latina.

This study aims to evaluate how the criteria of sustainability standards (SS) ensure the social dimension of corporate sustainability (CS) in rural entrepreneurships using the case of banana agribusinesses in Magdalena (Colombia).

The methodological design was quantitative, explanatory and cross-sectional, where a sample of banana producers from Magdalena (Colombia) was selected. A structural equation model (SEM) was developed to evaluate the hypotheses. The SEM goodness-of-fit and fit indices were all acceptable.

There is a strong and statistically significant correlation between SS criteria and the social dimension of CS. In particular, local development is the most influential factor in shaping CS in the context of banana agribusinesses in Magdalena, Colombia, operating as rural entrepreneurship. Meanwhile, working conditions and human rights show moderate effects, while labor rights do not have a perceptible impact.

Only the SS criteria that ensure the social dimension of CS in the banana agribusinesses of Magdalena (Colombia) were considered. It is important to note that other variables may be involved in ensuring CS. Future research to identify these possible variables is recommended.

This investigation explores an understudied issue within the CS sphere, explicitly focusing on rural entrepreneurship in developing countries, notably Colombia. The study scrutinizes the impact of SS on the social dimension of CS in rural environments, using banana cooperatives as a case study and highlighting the value of developing strategies to help improve the CS performance of this type of organization.

El objetivo de esta investigación es evaluar cómo los criterios de los Estándares de Sostenibilidad (SS) aseguran la dimensión social de la Sostenibilidad Corporativa (CS) en los emprendimientos rurales utilizando el caso de los agronegocios bananeros en Magdalena (Colombia).

El diseño metodológico fue cuantitativo, explicativo y transversal, donde se seleccionó una muestra de productores bananeros del Magdalena (Colombia). Se desarrolló un modelo de ecuaciones estructurales (SEM) para evaluar las hipótesis. Los índices de bondad de ajuste y ajuste del SEM fueron aceptables.

existe una correlación fuerte y estadísticamente significativa entre los criterios de SS y la dimensión social de la SC. En particular, el desarrollo local aparece como el factor más influyente en la conformación de la SC en el contexto de las agroempresas bananeras de Magdalena, Colombia, que operan como empresas rurales. Mientras tanto, las condiciones de trabajo y los derechos humanos muestran efectos moderados, mientras que los derechos laborales no parecen tener un impacto perceptible.

sólo se consideraron los criterios de SS que aseguran la dimensión social de la SC en los agronegocios bananeros de Magdalena (Colombia). Es importante señalar que otras variables pueden estar involucradas en el aseguramiento de la CS. Se recomiendan futuras investigaciones para identificar estas posibles variables.

Esta investigación explora un tema poco estudiado dentro de la esfera de la Sostenibilidad Corporativa (SC), centrándose explícitamente en el empresariado rural en los países en desarrollo, en particular Colombia. El estudio analiza el impacto de los Estándares de Sostenibilidad (SS) en la dimensión social de la SC en entornos rurales, utilizando las cooperativas bananeras como caso de estudio y resaltando el valor de desarrollar estrategias que ayuden a mejorar el desempeño en SC de este tipo de organizaciones.

O objetivo desta pesquisa é avaliar como os critérios dos Padrões de Sustentabilidade (SS) garantem a dimensão social da Sustentabilidade Corporativa (SC) em empreendimentos rurais usando o caso das agroindústrias de banana em Magdalena (Colômbia).

O desenho metodológico foi quantitativo, explicativo e transversal, onde foi selecionada uma amostra de produtores de banana de Magdalena (Colômbia). Foi desenvolvido um modelo de equação estrutural (SEM) para avaliar as hipóteses. Os índices de adequação e de ajuste do SEM foram todos aceitáveis.

existe uma correlação forte e estatisticamente significativa entre os critérios de SS e a dimensão social da SC. Em particular, o desenvolvimento local aparece como o fator mais influente na formação da SC no contexto dos agronegócios da banana em Magdalena, Colômbia, que operam como empresas rurais. Entretanto, as condições de trabalho e os direitos humanos apresentam efeitos moderados, enquanto os direitos laborais não parecem ter um impacto percetível.

apenas foram considerados os critérios de SS que garantem a dimensão social da SC nas agroindústrias da banana de Magdalena (Colômbia). É importante notar que outras variáveis podem estar envolvidas na garantia da SC. Recomenda-se a realização de investigação futura para identificar estas possíveis variáveis.

Esta investigação explora uma questão pouco estudada no âmbito da Sustentabilidade Empresarial (SC), focando explicitamente o empreendedorismo rural nos países em desenvolvimento, nomeadamente na Colômbia. O estudo examina o impacto dos Padrões de Sustentabilidade (SS) na dimensão social da SC em ambientes rurais, utilizando cooperativas de banana como estudo de caso e destacando o valor do desenvolvimento de estratégias para ajudar a melhorar o desempenho da SC deste tipo de organização.

This study examines the effect of local government debt (LGD) on corporate earnings management using 25,624 firm-year observations from 2007 to 2019.

Pooled ordinary least squares (OLS) regression is used to examine the impact of LGD on earnings management. A difference-in-differences (DID) method is also used to alleviate potential endogeneity.

Results show that LGD motivates firms to increase earnings management, especially income-decreasing earnings management. Findings are robust to DID method and robustness tests. Heterogeneity analyses show that the positive effect of LGD on earnings management is pronounced in firms with political dependence and moderated by external governance mechanisms. Further discussions indicate that tax enforcement is an underlying channel for LGD to affect earnings management. Firms engage in downward real earnings management by increasing their abnormal discretionary expenditures and higher LGD leads to a greater book-tax difference in those firms that manipulate income-decreasing earnings management.

This study contributes towards examining the political costs hypothesis, the microeconomic effects of LGD and the determinants of earnings management.

This study aims to seek, on the basis of Hofstede's culture consequences, to explore the notion that regional characteristics may influence the prioritisation of certain types of public-private partnerships (PPP) contract governance skills over others. It further sets out to determine which skills are considered the most critical between the groups of respondents surveyed.

To bring this important and neglected perspective into the mainstream of PPP discussions, the study, being of an exploratory nature, relied on a survey of 340 respondents from around the globe. The respondents are a rich mix of public policy experts, economists, construction professionals, project finance experts, lawyers and academic researchers in PPP.s.

Analysis revealed that, regional characteristics was an important factor influencing skills prioritisation. Furthermore, exploratory factor analysis with Monte Carlo principal component analysis (PCA) confirmation revealed that project management, contract design, negotiations, performance management and stakeholder management skills were very critical for successful contract management of PPP projects.

The findings indicate that the design and implementation of regulatory governance for infrastructure PPPs should be context-specific rather than the current one-size-fits all model. Training should be tailored to reflect regional specific characteristics.

Studies are increasingly pointing to the absence of critical PPP skills among institutions responsible for managing PPP contracts. This lack of capacity has resulted in poor oversight of private companies providing public services resulting in poor services, and financial recklessness, which threaten the sustainability of service provision.

This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study’s objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature.

A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review.

The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. “patient care”, “medical”, “higher education” and so on are emerging themes around the topic.

These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively.

Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.

This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.

The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.

Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.

Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.

The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.

The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

The purpose of this study is to investigate the role of sales, as a proxy for size, in moderating the impact of institutional incongruence between formal and informal institutions on the formalization of microenterprises in middle-income countries in Latin America.

The paper uses a probit regression model to examine business formalization as a binary outcome of formal and informal institutions. Data was collected through interviews and surveys across 52 municipalities in the Metropolitan Region of Santiago, Chile. The study used a stratified sampling approach and was conducted between November 2022 and January 2023.

The results offer three key insights into the formalization of microenterprises in middle-income countries. First, we show that formal institutions do not significantly influence formalization decisions among microentrepreneurs in middle-income countries, challenging the traditional belief that formal institutions alone significantly influence formalization in these contexts. Second, we show that informal institutions are significant predictors of informality, especially among smaller microenterprises. Third, we highlight that the smaller the business, the stronger the negative effect of informal institutions on formalization, and thus, the institutional incongruence between formal and informal institutions decreases for larger businesses.

This paper contributes to management literature by shedding light on the drivers of formalization in middle-income countries, a departure from most formalization studies wherein the focus is primarily on low-income economies. The findings suggest that policymakers in middle-income countries should focus on enabling microenterprise growth through sales, rather than targeting specific demographic groups or relying solely on formal institutional enforcement to promote formalization.

El objetivo de este estudio es investigar el papel de las ventas, utilizadas como un indicador de tamaño, en la mediación del impacto de la incongruencia institucional entre instituciones formales e informales en la formalización de microempresas en países de ingresos medios en América Latina.

Utilizamos un modelo de regresión Probit para examinar la formalización empresarial como un resultado binario de instituciones formales e informales. Los datos se recopilaron a través de 110 entrevistas y encuestas en 52 municipios de la Región Metropolitana de Santiago, Chile. El estudio empleó un enfoque de muestreo estratificado y se llevó a cabo entre noviembre de 2022 y enero de 2023.

Nuestros resultados ofrecen tres ideas clave sobre la formalización de microempresas en países de ingresos medios. Primero, demostramos que las instituciones formales no influyen significativamente en las decisiones de formalización entre las microempresas en países de ingresos medios; esto desafía la creencia tradicional de que las instituciones formales por sí solas influyen significativamente en la formalización en estos contextos. Segundo, nuestro estudio muestra que las instituciones informales son predictores significativos de la informalidad, especialmente entre las microempresas más pequeñas. Tercero, nuestro estudio destaca que el efecto negativo de las instituciones informales sobre la formalización es más fuerte para negocios de menor tamaño; por lo tanto, la incongruencia institucional entre instituciones formales e informales disminuye para negocios de mayor tamaño.

Este artículo contribuye a la literatura iluminando sobre los impulsores de la formalización en países de ingresos medios, a diferencia de la mayoría de los estudios de formalización en la región latinoamericana que se centran principalmente en países de bajos ingresos. Nuestros hallazgos sugieren que los responsables de políticas en países de ingresos medios deberían centrarse en impulsar el crecimiento de las microempresas a través de las ventas, en lugar de enfocarse en grupos demográficos específicos o depender únicamente del cumplimiento institucional formal para promover la formalización.

O objetivo deste estudo é investigar o papel das vendas, usadas como um indicador de tamanho, na mediação do impacto da incongruência institucional entre instituições formais e informais na formalização de microempresas em países de renda média na América Latina.

Utilizamos um modelo de regressão Probit para examinar a formalização empresarial como um resultado binário de instituições formais e informais. Os dados foram coletados por meio de 110 entrevistas e pesquisas em 52 municípios da Região Metropolitana de Santiago, Chile. O estudo empregou uma abordagem de amostragem estratificada e foi realizado entre novembro de 2022 e janeiro de 2023.

Nossos resultados oferecem três ideias-chave sobre a formalização de microempresas em países de renda média. Primeiro, demonstramos que as instituições formais não influenciam significativamente as decisões de formalização entre as microempresas em países de renda média; isso desafia a crença tradicional de que as instituições formais, por si só, influenciam significativamente a formalização nesses contextos. Segundo, nosso estudo mostra que as instituições informais são preditores significativos da informalidade, especialmente entre as microempresas menores. Terceiro, nosso estudo destaca que o efeito negativo das instituições informais sobre a formalização é mais forte para negócios de menor porte; portanto, a incongruência institucional entre instituições formais e informais diminui para negócios de maior porte.

Este artigo contribui para a literatura iluminando os impulsionadores da formalização em países de renda média, ao contrário da maioria dos estudos de formalização na região latino-americana, que se concentram principalmente em países de baixa renda. Nossos achados sugerem que os responsáveis pelas políticas em países de renda média deveriam focar em impulsionar o crescimento das microempresas por meio das vendas, em vez de se concentrar em grupos demográficos específicos ou depender exclusivamente do cumprimento institucional formal para promover a formalização.

The aim of this study is to examine the existing literature on service robots in order to identify prominent themes, assess the present state of service robotics research and highlight the contributions of seminal publications in the business, management and hospitality domain.

This study analysed 332 Scopus papers from 1985 to 2022 using bibliometric techniques like citation and co-citation analysis.

The study findings highlighted that there has been a consistent rise in publications related to service robots. The paper identifies three significant themes in the service robot literature: adoption of service robots in the context of customer service, anthropomorphism and integration of artificial intelligence in robotic service. Furthermore, this study highlights prominent authors, journals, institutions and countries associated with research on service robots and discusses the future research opportunities in this domain.

This study contributes to the service robots’ literature in the hospitality context by compilation of various reference materials using a comprehensive bibliometric analysis. Previous studies do not point out crucial themes in this area, nor do they provide an overview of prominent journals, institutions, authors and trends in this field. Therefore, this study attempts to fill the lacunae.

Artificial intelligence (AI) is revolutionizing product recommendations, but little is known about consumer acceptance of AI recommendations. This study examines how to improve consumers' acceptance of AI recommendations from the perspective of product type (material vs experiential).

Four studies, including a field experiment and three online experiments, tested how consumers' preference for AI-based (vs human) recommendations differs between material and experiential product purchases.

Results show that people perceive AI recommendations as more competent than human recommendations for material products, whereas they believe human recommendations are more competent than AI recommendations for experiential products. Therefore, people are more (less) likely to choose AI recommendations when buying material (vs experiential) products. However, this effect is eliminated when is used as an assistant to rather than a replacement for a human recommendation.

This study is the first to focus on how products' material and experiential attributes influence people's attitudes toward AI recommendations. The authors also identify under what circumstances resistance to algorithmic advice is attenuated. These findings contribute to the research on the psychology of artificial intelligence and on human–technology interaction by investigating how experiential and material attributes influence preference for or resistance to AI recommenders.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.