https://hdl.handle.net/20.500.12724/22370 2026-05-13T05:23:49Z https://hdl.handle.net/20.500.12724/24442 Exploring Workplace Mental Health: Burnout, Self-Efficacy, and Organizational Commitment Among Female Executives in the Financial Sector Rojas Berrocal, Brissette Antonella This study investigates the critical interplay between mental health challenges and job performance among women in executive roles within financial sector in 2024. Focusing on burnout, professional self-efficacy, and life satisfaction, the research explores how these factors influence job performance, with organizational commitment as a mediation variable. Female executives face distinctive challenges, including gender-related barriers and the pressure of managing multiple roles, which can hinder their productivity and career progression. Employing a quantitative, non-experimental cross-sectional design, data were collected from a representative sample of peruvian female executives using validated instruments: the Burnout Unique Item (IUB), Professional Self- Efficacy Questionnaire (IWPQ), and Utrecht Work Engagement Scale (UWES-9). Partial Least Squares Structural Equation Modeling (PLS-SEM) was utilized to analyse the mediating effects of organizational commitment on psychological factors and job performance. The findings emphasize the importance of organizational policies fostering supportive environments that address mental health concerns, improve well-being, and enhance job performance. This study offers valuable insights for stakeholders in the financial sector, where demands for productivity and leadership performance are particularly high. The results contribute to the broader understanding of workplace dynamics, providing practical recommendations for creating equitable and supportive workspaces. 2025-01-01T00:00:00Z https://hdl.handle.net/20.500.12724/24440 Gender Bias in Generative Artificial Intelligence: A Literature Review on Perspectives and Implications Pimentel Bernal, Paul Marcelo; Palomino Veliz, José Carlos This article examines how generative artificial intelligence (GenAI) systems reflect pre-existing gender biases and explores their implications in social and technological contexts. While GenAI holds transformative potential in healthcare, employment, and finance, it also poses considerable risks concerning diversity in training data, development teams, and other factors that can reinforce stereotypical representations and discriminatory decisions, highlighting the need for a comprehensive approach to mitigate these issues. The study employs a systematic literature review following PRISMA guidelines, complemented by thematic analysis to identify key patterns. Articles published between 2020 and 2024 were reviewed, focusing on the nature, origins, and implications of gender biases in GenAI. The thematic analysis enabled the identification of emerging trends and proposed solutions, providing a comprehensive view of current limitations and priority areas for future research. The findings reveal that gender biases in GenAI manifest at various levels, ranging from algorithms reinforcing stereotypes to underrepresentation in generated images. The implications include the reinforcement of social inequalities and the erosion of user trust in GenAI systems. However, strategies such as diversifying development teams, using representative datasets, designing equity-aware algorithms, and establishing robust regulations are highlighted as ways to address these challenges. This article contributes to academic and professional fields by offering a detailed analysis of gender biases in GenAI, identifying practices and strategies to build unbiased systems. Furthermore, it emphasizes the importance of raising public awareness and fostering education on gender biases in GenAI to create more critical and informed users. 2025-01-01T00:00:00Z https://hdl.handle.net/20.500.12724/22568 Is Formalisation Enough to Achieve Growth in SMEs? Medroa Delgado, Giancarlo The objective of this research is to determine whether the formalisation (FORM) of small and medium-sized enterprises (SMEs) has an impact on the growth, and determine which aspects of SMEs management, when formalised, are associated with and contribute to the growth of these organisations. A survey was applied to 403 proxies of SMEs in Lima, Peru. A structural equation model was used to validate the hypotheses. The results indicate that there is a positive and significant association between the FORM of SMEs management and the growth of these organisations. The main finding of this research is to determine that the formalisation of SME management in Lima, Peru explains their growth by only 27%, leaving 63% explained by other factors that could be not only management aspects, but also aspects of the SME environment. State institutions, companies and academia should analyse the low economic contribution of SMEs from a broader approach and not only from the position that formalisation is the only reason for growth. Other aspects should be studied, such as education in management issues by entrepreneurs, development of collaborators' competencies, improvement in the efficiency in the management of State institutions, among other factors; and thus, find the appropriate mechanisms that contribute to the growth of SMEs. This research is the first to analyse, in a single study, whether the formalisation aspects of SMEs management contribute to their growth. Finally, this research has contributed to the construction and conceptualisation of the SME growth variable. © 2024 Academic Conferences and Publishing International Limited. All rights reserved. 2024-01-01T00:00:00Z https://hdl.handle.net/20.500.12724/22553 Impact of Chatbots on Satisfaction and Loyalty in Lima's Telecom Sector Herrera Fallaque, Catherine Alexandra The migration towards digital environments has transformed the expectations of consumers, who now not only look for quality products and services, but also convenience, personalization and efficiency in each interaction with the brand. This change presents significant challenges for companies, as they need to constantly adapt to meet their needs and thus maintain loyalty in a highly competitive market. The pressure to offer added value and maintain customer preference is intensified by the ease with which consumers switch to competitors. which drives companies to innovate and adapt AI such as chatbots, which could be the answer to this challenge. The objective of this research work is to know if the use of chatbots positively influences the satisfaction and perceived loyalty of consumers of telephone services, since in this case the speed, quality of the service and the customer's need for understanding. They are critical and represent a greater challenge to differentiate. The methodology used for this research maintains a quantitative, correlational, non-experimental approach. The type of sampling was non-probabilistic, and the strategy was snowball. The instrument used was a questionnaire with a sample of around 130 consumers in the city of Metropolitan Lima in Peru. The findings suggest that chatbots are not only innovative tools, but also strategic ones for telephone companies seeking to improve customer satisfaction and loyalty. The implementation of appropriate chatbots can transform the customer experience, providing a more agile, personalized and effective service, thus seeing a close relationship between the dimensions of the chatbot with the satisfaction and loyalty perceived in consumers. In a world where these variables are key to business survival, chatbots represent an opportunity to create exceptional experiences. Uncover how cutting-edge AI chatbots are revolutionising customer satisfaction and loyalty in the competitive telephone service industry, offering transformative, personalised, and efficient interactions. © 2024 Academic Conferences Limited. All rights reserved. 2024-01-01T00:00:00Z