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The purpose of this study is to analyze the relationship between academic writing and generative artificial intelligence (AI).

This paper is characterized as exploratory and descriptive, with a qualitative approach. Two approaches were used: the first, a narrative review of the literature with a systematic search from which a data collection stage was carried out using asynchronous interviews by means of an online questionnaire.

The results indicate that generative AI should be seen as a complementary tool for creative and critical academic writing. The data collected also highlighted issues related to academic dishonesty and the new type of plagiarism – plagiarism made possible by technologies – as well as issues of authorship and legitimacy of work carried out with AI and the loss of reflective and critical thinking and creativity.

The considerable increase in resources using AI in all dimensions of human life.

The impact that the use of generative AIs can have on the creation of knowledge and the dissemination of scientific research.

The impact that the use of generative AIs can have on the creation of knowledge and on the dissemination of scientific research.

The need for academia to anticipate the use of AI in academic writing and to incorporate its benefits into this process, especially considering researchers in training.

El objetivo de este artículo es analizar la relación entre la escritura académica y la inteligencia artificial generativa.

Este artículo se caracteriza por ser exploratorio y descriptivo, con un enfoque cualitativo. Se utilizaron dos enfoques: el primero, una revisión narrativa de la literatura con una búsqueda sistemática, a partir de la cual se llevó a cabo una etapa de recogida de datos mediante entrevistas asincrónicas a través de un cuestionario online.

Los resultados indican que la IA generativa debe considerarse una herramienta complementaria para la escritura académica creativa y crítica. Los datos recogidos también pusieron de manifiesto cuestiones relacionadas con la deshonestidad académica y el nuevo tipo de plagio, el plagio posibilitado por las tecnologías, así como cuestiones de autoría y legitimidad del trabajo realizado con Inteligencia Artificial, la pérdida de pensamiento reflexivo y crítico y la creatividad.

La necesidad de que el mundo académico se anticipe al uso de la IA en la escritura académica e incorpore sus ventajas a este proceso, considerando principalmente a los investigadores en formación.

El considerable aumento de los recursos que utilizan la IA en todas las dimensiones de la vida humana.

El impacto que puede tener el uso de las IA generativas en la creación de conocimiento y la difusión de la investigación científica.

El impacto que puede tener el uso de las IA generativas en la creación de conocimiento y la difusión de la investigación científica.

O objetivo deste artigo é analisar a relação entre a redação acadêmica e a inteligência artificial generativa.

Este artigo é caracterizado como exploratório e descritivo, com uma abordagem qualitativa. Foram usadas duas abordagens: a primeira, uma revisão narrativa da literatura com uma busca sistemática, a partir da qual foi realizada uma etapa de coleta de dados usando entrevistas assíncronas por meio de um questionário on-line.

Os resultados indicam que a IA generativa deve ser vista como uma ferramenta complementar para a redação acadêmica criativa e crítica. Os dados coletados também destacaram questões relacionadas à desonestidade acadêmica e ao novo tipo de plágio - o plágio possibilitado pelas tecnologias, bem como questões de autoria e legitimidade do trabalho realizado com a Inteligência Artificial, a perda do pensamento reflexivo e crítico e da criatividade.

A necessidade de a academia antecipar o uso da IA na redação acadêmica e incorporar seus benefícios nesse processo, considerando principalmente pesquisadores em formação.

O aumento considerável de recursos usando IA em todas as dimensões da vida humana.

O impacto que o uso de IAs generativas pode ter sobre a criação de conhecimento e a disseminação de pesquisas científicas.

O impacto que o uso de IAs geradoras pode ter na criação de conhecimento e na disseminação de pesquisas científicas.

Purpose: This chapter aims to identify the interaction of various aspects of international trade and the impact on economic integration and economic development in the European Union (EU). Foreign trade is essential for the economy of every country, especially for small, open economies, such as several EU member states. International trade characterises economic trends; it is one of the indicators of the balance of payments and reflects the macroeconomic stability in the country.

Need for study: Economic development analysis involves assessing the external balance of each country or the union of countries, such as the EU, with a focus on the analysis of international trade balance and trends, crucial for the stability of each economy and the operation of the single market and economic integration.

Research methodology: Statistical analysis of foreign trade data and the determination of mutual statistical relationships. It evaluates the trade balances of the EU member states, turnover, and international trade within the EU (intra-EU trade).

Findings: The EU’s economic integration is based on single-market principles, ensuring free international trade and a significant impact on future economic growth. Economic openness of each member state, characterised by foreign trade turnover to gross domestic product (GDP), is essential for compliance with optimal currency zone criteria. The EU’s enlargement opened the single market to Central and Eastern European countries, creating conditions for economic transformation and common future development. However, the study confirms significant differences in international trade between new member states.

Practical implications: Ensuring the development of export capacity and justify the need for export support.

Organizational Purpose (OP) has become increasingly important in the organizational context. This research focuses on how OP can contribute to employee motivation, using personal and institutional OP factors and considering the importance of employee motivation toward organizational success.

To conduct the research, we selected a branch of a leading multinational company in the chemical sector. Based on data collected through a questionnaire sent out to employees and using fuzzy-set Qualitative Comparative Analysis (fsQCA), we identified combinations of individual and institutional OP factors leading to high (or low) employee motivation.

The results reveal that individual and institutional OP factors synergistically promote high employee motivation. The employees' contribution to the OP and the integrity of the organization’s leadership are two key motivating factors.

Organizations struggle to develop sustainable competitive advantages in an ever-competitive environment. Focusing on the “why” instead of the “how” may help organizations differentiate and achieve higher employee motivation. This research clarifies how to turn purpose into an asset to improve employee motivation.

The conclusions highlight the need to share the OP through leadership actions and the importance of helping workers recognize the OP and its values, integrate them into their actions and feel how they contribute to its achievement.

Strategic human capital analytics (SHCA) has proven to be promising for improved organizational performance; however, research remains unclear about its influence on new venture performance. Building on the dynamic capabilities view (DCV), this study investigates the relationship between SHCA and new venture performance via generative capabilities with the moderating role of dual nationality founding members.

A quantitative research study has been carried out. Data was collected via a survey form from 313 founding members of new tech ventures and analyzed using Hayes process macro model.

Research results show that the generative capability mediates the linkages between SHCA and new venture performance. Whereas, the dual nationality of a founding member strengthens the linkages between SHCA and generative capability due to their diverse perspective, larger networks, cognitive flexibility, and resilience, which are important for generative capabilities and SHCA.

The originality of these results lies in the exploration of the linkages between dual nationality and generative capability, as well as the special elements, such as diverse perspectives, larger networks, cognitive flexibility, and resilience, which are highlighted as possible advantages of dual nationality in the context of SHCA and new venture performance.

This study aims to understand the perceived emotions of human–artificial intelligence (AI) interactions in the private sector. Moreover, this research discusses the transferability of these lessons to the public sector.

This research analysed the comments posted between June 2022 and June 2023 in the global open Reddit online community. A data mining approach was conducted, including a sentiment analysis technique and a qualitative approach.

The results show a prevalence of positive emotions. In addition, a pertinent percentage of negative emotions were found, such as hate, anger and frustration, due to human–AI interactions.

The insights from human–AI interactions in the private sector can be transferred to the governmental sector to leverage organisational performance, governmental decision-making, public service delivery and the creation of economic and social value.

Beyond the positive impacts of AI in government strategies, implementing AI can elicit negative emotions in users and potentially negatively impact the brand of private and government organisations. To the best of the authors’ knowledge, this is the first research bridging the gap by identifying the predominant negative emotions after a human–AI interaction.

This paper aims to assess the interaction between environmental challenges and policy interventions in shaping housing prices. It emphasises the need to understand how policy interventions and environmental conditions can disproportionately affect housing affordability, population growth and building density, especially for vulnerable communities.

The study uses a panel quantile ARDL regression model to thoroughly investigate the asymmetric impact on a sample of 16 UK cities spanning the period 2000–2023.

The study reveals that pollution significantly impacts house prices, with cleaner areas experiencing faster price changes. Cleaner air pollution has a greater impact on property prices in cities with cleaner air. Climate policies and superior environmental technologies also influence consumer purchases. Addressing affordability has little short-term effect on house values, but building activity temporarily affects pricing. Investment in clean technology and climate action legislation may boost house prices and attract environmentally conscious individuals.

Based on these findings, policymakers seeking equitable and sustainable housing outcomes should consider these finding. It proposes evaluating city environmental features, eliminating environmental inequities, encouraging clean technology, balancing affordability and environmental concerns, monitoring and lowering pollutants and supporting sustainable building practices.

To the best of the author’s knowledge, this study is the first to analyse how environmental conditions, regulations on environmental action and demand-supply affect housing prices in 16 major UK cities. The connection between these factors is also examined in 8 cities with high and 8 cities with extremely low pollution. The research seeks to explore how environmental issues affect policy interventions to promote sustainable and equitable housing development. The asymmetric impact is examined using a panel quantile ARDL regression model. If property values are asymmetrical, the government should enforce severe environmental laws.

This paper aims to explore how one elementary school administrative team responded to their changing student populations to include Latin(x) within their black community. The responses included looping practices, relationship building with families and culturally relevant pedagogies. In particular, this paper considers how the three aspects of the change worked together toward the goal of providing its students with quality educational opportunities and enhancements.

The research presented here is part of a longitudinal (four-year) qualitative study where ethnographic approaches to data collection were adopted.

The four-year immersion in the values of culturally relevant pedagogy created a reciprocal growth in understanding among the teachers and the students of the black and Latin(x) populations, sustained the overarching ideas of deep family connections and contributed to asset-driven curriculum.

A national trend shows rapid changing demographics where Latin(x) families are moving into black neighborhoods and schools. This change in schools’ student populations finds educators facing new challenges in addressing the educational and cultural needs of two minoritized populations. This research adds to the existing scholarship by documenting how one school shifts their learning atmosphere to deeply engage students in culturally relevant pedagogies.

The Cuban population is going through a process of demographic change and accelerated aging, which, together with a difficult economic situation, places the older adults in a complex economic reality, especially in the most vulnerable communities. This paper aims to analyze the housing situation of the older adults in a vulnerable community in Santiago de Cuba during a period of particular economic difficulty.

The study analyzes the housing situation of a sample of people over 60 years of age (n = 325) in a vulnerable community in the city of Santiago de Cuba. A structured interview was used for data collection.

The results show that most of the people over 60 years of age interviewed considered their homes to be in a poor state of repair. A significant part of the homes were built with precarious materials and had cracked walls, leaks, problems with the functioning of the toilet, broken pipes, etc. In addition, most of the houses were poorly equipped, with a large number of them lacking refrigerators, cell phones or computers or other electrical appliances (heater, shower, stove, etc.). Women, people with black skin and people over 75 years of age were in a particularly precarious housing situation.

Demographic changes and the expected aging of the population in Cuba mean that meeting the needs of the older adults is expected to become increasingly complex. The design of public policies and administrative management should take into consideration the housing needs of people over 60 years of age in vulnerable communities, with special attention to women, racialized people and older adults.

The research was conducted based on the information provided by a particularly vulnerable group in Cuba (older adults), about which there is limited information available, and the data were collected during a particularly challenging time for the Cuban economy: the post-COVID-19 pandemic period. The challenges of conducting research of this nature in Cuba and the period during which data collection took place form the basis of the originality of this manuscript.