Conference Agenda

This research aims to determine the relationship between human talent management and social responsibility in the Provincial Municipality of Canas, Cusco, in 2024. The study adopts an applied research approach with a quantitative, correlational, and cross-sectional methodology. The population consists of 89 employees, both permanent and contracted, selected through non-probabilistic convenience sampling. Data was collected using a survey and analyzed using descriptive statistics and Spearman’s correlation test. The results indicate that 64% of employees perceive a medium level of human talent management, while 69.7% report a medium level of social responsibility. A moderate positive correlation (ρ = 0.316, p = 0.003) was found between both variables. This suggests that effective human talent management fosters an ethical, committed, and socially responsible work environment. The study highlights the need for continuous professional development and sustainable initiatives to strengthen municipal governance.

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.

The objective of this research was to determine the relationship between innovation and the export potential of the jewelry artisans of Catacaos-2024. An applied methodology was used, under a quantitative approach, non-experimental design with cross-sectional, correlational level and under the hypothetical-deductive method. A census sampling of 30 artisans was used, taking into account the inclusion and exclusion criteria. The data obtained were processed in SPSS and analyzed through descriptive and inferential statistics. A correlation coefficient of 0.168 was obtained between the innovation and export potential variables, indicating a very low positive correlation. Regarding the bilateral significance, a value of 0.374, which showed that there was no significant relationship between the variables, these results led to the acceptance of the null hypothesis and the rejection of the alternative hypothesis. Regarding the specific objectives, the null hypotheses were also validated. According to the results obtained, it was evident that the relationship of the variables was not very closely linked in the association because they are applying a low level of innovation to contribute directly to the export potential.

The main purpose of the research was to determine the relationship between international negotiation strategies and internationalization of agroexporting companies, Piura - 2024. The methodology used in the research was quantitative, through a correlational approach and a transversal non-experimental design. With respect to data collection, the technique used was the “survey”, which was carried out by means of a specific instrument, created for this purpose, designated as a “questionnaire”. The target population was 50 people, belonging to three companies in the agro-export sector, selected by means of a non-probabilistic convenience sampling. The results obtained indicated a low positive correlation of 0.262 between the variables Negotiation Strategies and the Internationalization of companies. In conclusion, it was determined that there was a low and insignificant positive relationship of 0.06 between the variables International negotiation strategies and Internationalization of agroexporting companies in Piura. In other words, the implementation of negotiation strategies can influence the internationalization of companies, although this influence may be limited.

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.

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.