Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 8th Oct 2025, 07:07:05am CST

 
 
Session Overview
Session
13F
Time:
Wednesday, 16/July/2025:
9:40am - 10:50am

Virtual location: VIRTUAL: Agora Meetings

https://virtual.agorameetings.com/
Session Topics:
Virtual

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Presentations
9:40am - 9:48am

The Impact of Hybrid Transformational Leadership on the Performance of Private Companies. A systematic review between the years 2020 – 2024

Diego Fernando Pauca Quispe, gisela fernandez hurtado

Universidad Privada del Norte - (PE), Perú

This systematic review examines the influence of hybrid transformational leadership, where technology plays a fundamental role in the performance of collaborators within organizations, in a work environment characterized by digitalization and uncertainty, the adaptation capacity of workers has been become a key factor for organizational success. Through an exhaustive analysis of scientific literature published in the last decade in databases such as Scopus, sixty relevant studies were identified. The findings reveal that hybrid transformational leadership, by integrating technological tools and motivational strategies, strengthens the confidence, commitment and sense of purpose of employees, boosting their performance, productivity and a positive organizational culture.



9:48am - 9:56am

Influencer Marketing and its impact on the purchasing decision of young people in textile fashion retail in Perú

Guisela Liliana López Sánchez

Universidad Tecnológica del Perú UTP - (PE), Perú

The general objective of this research was to determine the relationship between influencer marketing and the purchasing decision of young people in textile fashion retail in the city of Chimbote -Peru 2024. The methodology was used with a sequential quantitative approach, with a correlational descriptive scope. and a basic non-experimental design, a virtual survey was used as a method and its guiding instrument was the survey based on a Likert scale, where sufficient data was collected for the study of the variables. The population was 33,304 young people to evaluate their behavior towards Influencer marketing and their purchasing decision, of which, 380 young people of both sexes from the city of Chimbote - Peru were taken as a sample. The data obtained from the study units were processed in the statistical application IBM SPSS version 21. The result was that influencer marketing presented a Spearman correlation coefficient of (0.681) on the purchasing decision of young people, which represents digital media, advertising and celebrities specifically such as influencers. Likewise, the alternative hypothesis is confirmed by the results of Spearman's statistical correlation instrument, which indicates a positive correlation and a significance level of α=0.000<0.05. It can be concluded that Influencer marketing positively impacts the purchasing decision of young people in textile fashion retail in the City of Chimbote - Peru 2024.



9:56am - 10:04am

Technological Innovation in the Age of Artificial Intelligence: A Contrast between French Dynamism and Colombian Potential

Oriana Susana Martínez Palomino, Ana Susana Cantillo Orozco, Marine Clara Mandina, Sonia Oceane De Zuñiga, Leopold Lubin

Universidad Tecnológica de Bolívar, Colombia

Artificial intelligence (AI) is transforming the global landscape, impacting diverse socioeconomic areas. This study comparatively analyzes technological innovation in AI in France and Colombia, two countries with contrasting contexts and trajectories. France, with a strong tradition in research and development, has prioritized investment in infrastructure, the training of specialized talent and the development of ambitious public policies. In contrast, Colombia, an emerging economy, focuses on the application of AI to boost competitiveness in strategic sectors. The analysis examines the strategies, policies and initiatives of each country, seeking to identify key factors for the development and successful adoption of AI in different socioeconomic contexts.