Conference Agenda

The significantly low involvement of women in technology entrepreneurship, particularly in software startups, is widely recognized. Although research on female entrepreneurship has been ongoing, very little has focused on what motivates women to start new software ventures or the specific challenges they usually face. Through semi-structured interviews with female founders of software startups, female business mentors, and technology investors, several motivations for women's entrepreneurship in software were identified (e.g. desire for autonomy, opportunity to innovate), along with the main obstacles and challenges they encounter (absence of entrepreneurial partners, pitching in founding rounds, lack of direction, among others). Additionally, a series of actions is suggested for increasing women's participation in software startups (support for remote work, more access to mentoring in business and technology).

Innovation is central to the competitiveness and international expansion of multilatinas, yet empirical evidence on how board diversity influences innovation decisions in these firms remains limited. Drawing on Behavioral Agency Theory, this study examines the impact of demographic, cognitive, and structural board diversity on innovation investment, measured through capital expenditures (CAPEX). Using panel data from multilatinas and estimating fixed-effects models, the analysis evaluates the differentiated effects of multiple diversity dimensions on firms’ innovation intensity. The results show that cognitive and structural diversity, particularly director experience, board independence, and board size—positively and consistently influence innovation investment. Conversely, demographic diversity, especially female representation, exhibits a negative association with CAPEX-based innovation, suggesting that demographic attributes alone may not be sufficient to promote long-term investment decisions in institutionally volatile environments. Regulatory quality emerges as a critical contextual factor that strengthens firms’ willingness to invest in innovation. The study contributes to literature by providing a multidimensional view of diversity’s effects on innovation and by highlighting the importance of institutional context for strategic decision-making in emerging-market multinationals. These findings offer practical implications for firms seeking to enhance innovation through governance reforms and for policymakers aiming to foster more supportive regulatory environments

The objective of the study was to determine how the implementation of quality tools increases the level of environmental management in an agro-industrial company, through a pre-experimental design evaluated 150 days before (January) and 150 days after (September) of the intervention. Prior to implementation, key problems were identified in the irrigation system, such as lack of staff training (27.8%), inadequate installation of equipment (25.9%) and unfavorable weather conditions (18.5%), which generated inefficiency, high costs and water loss. During the pretest, the accumulated data reflected: 278 kg of agrochemicals used (environmental dimension), 7.7% participation in activities (social dimension), 9,880 soles in associated costs (economic dimension), 42 audits carried out and an average regulatory compliance of 86% (institutional dimension). The intervention, based on the PDCA Cycle, showed significant improvements: 261 kg of agrochemicals and 308 m³ of water consumed (environmental dimension), 20 trainings with 273 participants (social dimension), 11,770 soles in total costs distributed in 25 activities (economic dimension), 53 audits carried out and an average regulatory compliance of 88% (institutional dimension). In global terms, environmental management scores went from 10,279 in the pre-test to 12,151 in the post-test, with a total improvement of 1,872 points. Student's t-test (p = 0.003) confirmed significant differences, concluding that the implementation had a positive impact on the company's environmental management.

In the domestic sphere, ensuring proper feeding routines for pets is becoming increasingly complex due to the fast-paced lifestyles of pet owners in the city of Cajamarca. Irregular schedules and manual feeding often lead to nutritional deficiencies, dehydration, and poor hygiene. Traditional methods have limitations in terms of precision and efficiency. To address this, this project proposes the development of an automated pet food and water dispenser, controlled by an ESP32 microcontroller and equipped with sensors, motorized mechanisms, and a mobile application for remote monitoring.

The overall objective is to develop and evaluate the dispenser's impact on feeding regularity and the operational efficiency of the process. The methodology is pre-experimental, focusing on the design, programming, construction, and testing of the prototype. The materials used include an ESP32, geared motor, solenoid valve, controller, sensors, wiring, and 3D-printed parts in PLA+. Tests were conducted to measure dispensing accuracy, operating times, system stability, and the functionality of the mobile monitoring system.

The tests were applied to measure dispensing accuracy, operating times, system stability, and the functionality of the mobile monitoring system. The results demonstrated a reduction of over 75% in the time required to serve food and water, improved hygiene by reducing direct human contact, and a continuous supply of food and hydration. Furthermore, a positive economic and social impact was identified, as it is an accessible alternative with potential for local entrepreneurship.

In conclusion, the prototype is presented as an innovative and viable solution aligned with current trends in automation and smart homes.

The present study examined the association between safety culture and job satisfaction within the context of the mining industry. The analysis focused on a sample of 100 employees from a mining company located in Pasco, Peru. A quantitative approach was adopted, featuring a correlational, cross-sectional, and non-experimental design. Data was collected using a 20-item Likert scale questionnaire and processed with SPSS v.28 software. After confirming the absence of normality using the Kolmogorov–Smirnov test, the Spearman's Rho coefficient was employed for the inferential analysis. The results revealed a positive and highly significant correlation between safety culture and job satisfaction (ρ = 0.687; p < 0.001), classified as a relationship of considerable magnitude. Among the specific dimensions, Supervision (ρ = 0.684) and Communication (ρ = 0.603) showed the strongest associations with safety culture, highlighting the critical role of leadership and effective information flow. In contrast, the Work Nature dimension showed a moderate positive correlation (ρ = 0.429), reaffirming that intrinsic factors carry less relative weight than hygiene factors in high-demand operational contexts. Overall, the findings position safety culture as a key determinant of job satisfaction in complex and high-risk environments. It is recommended that future research incorporate predictive techniques, such as Structural Equation Modeling and machine learning algorithms, to deepen the understanding of underlying causal and non-linear mechanisms.

This study analyzes how market research influences the export of Peruvian value-added food products to Canada, highlighting its role in consumer understanding and strategic decision-making. Using a qualitative approach with expert interviews, it seeks to identify opportunities and strategies to strengthen international competitiveness. This is based on theories of competitive advantage, gradual internationalization, and business innovation.