Journal of business and entrepreneurial studie

Artificial intelligence demand forecasting for improved inventory and fleet management

Byron Oviedo-Bayas — 2025-07-30

This study analyzes the impact of Artificial Intelligence (AI) on demand forecasting as a strategy to optimize inventory and logistics fleet management. Advanced models such as recurrent neural networks (RNN), Transformers, and Gradient Boosting were compared with traditional statistical methods such as ARIMA and Exponential Smoothing. The results showed that AI-based models reduced forecast error by up to 50%, decreased logistics costs by 31.5%, and reduced empty kilometers by 15%. In addition, the potential of AI to reduce CO? emissions was demonstrated, aligning with sustainability goals. However, significant challenges were identified, such as the need for high-quality data and specialized technical training. Future research lines focused on the scalability of AI for SMEs and its integration with blockchain are proposed.

Social and solidarity economy models as catalysts for local development

Byron Oviedo-Bayas — 2025-07-30

This article explores the role of Social and Solidarity Economy (SSE) models as agents of transformation in territorial development processes. Using a qualitative approach and comparative analysis of experiences in India, Brazil, Europe, Senegal, and Latin America, it examines how these initiatives strengthen economic resilience, promote productive equity, and drive financial inclusion. Credit cooperatives, social enterprises, agricultural networks, and solidarity finance are presented as effective tools for addressing economic crises, guaranteeing basic services, and generating decent employment in vulnerable contexts. Their capacity to reconfigure value chains through practices that redistribute power and increase local income is also analyzed. However, the study also identifies structural challenges, such as dependence on existing social capital, the risks of co-optation by neoliberal actors, and the urgent need for regulatory frameworks that support their autonomy. Through a critical and situated lens, it argues that the SSE is not a single or universal solution, but it does represent a viable and ethical way to rethink local development from a people- and territory-centered perspective. This work contributes to the academic debate by linking local experiences with macroeconomic dynamics, proposing institutional and community conditions that allow these models to scale up without losing their transformative essence.

Comparative analysis of domestic commercial air transport of routes, frequencies and airlines to and from the Lima International Airport from March 06 to 17, 2023

Jonathan Luis Cruz Pierard — 2025-08-15

The objective of the research is to conduct a comparative analysis of domestic commercial air transportation to and from the Jorge Chávez International Airport in Lima, focusing on routes, frequencies, and airlines during the period from March 6th to March 17th, 2023. A descriptive quantitative research methodology will be employed to define relevant variables and assess the concepts related to the study's theme. The results obtained will be presented in an analysis that will reveal the comparative relationships among airlines, destinations, and routes of passenger air transportation within the Peruvian context.

Economics of cold emailing

Stevens Reyes-Simpe — 2025-08-19

This study provides a mathematical model that analyze the factors that determines response rates in bulk cold emails. To test the model, we conducted an empirical analysis based on data from our experiment that included 5,187 cold emails, having an average response rate of 15%. Three key determinants were found: email length combined with the sender's presentation timing, personalization for non-patient buyers, and the time between each product’s features presentation. Specifically, the findings claim that an email under 150 words with a timing introduction of the sender (up to 3 seconds after the start) increases the response rate from 17% to 44%. Personalization, defined as name, company, and location, for non-patient buyers increases the rate to 58%. In contrast, response rate decreases by 17% each increment of 1 second on the average time taken between presenting each product’s features. Unexpectedly, some variables like price discrimination turned out to not have statistical significance on response rates.

Detecting the economic cycle in Ecuador using time series techniques: a univariate and multivariate approach with empirical evidence applying the Hodrick-Prescott filter

Galo Fernando Moya-Castillo — 2025-07-07

The purpose of this study is to identify and analyze economic cycles in Ecuador through the application of time series techniques, using both univariate and multivariate approaches. Official macroeconomic data such as Gross Domestic Product (GDP), deposits, unemployment, and other relevant variables are used to detect cyclical patterns that characterize the country's economic behavior in recent years. A rigorous empirical analysis is conducted using the Hodrick-Prescott Filter to identify the expansion and contraction phases of the Ecuadorian economy. This research aims to contribute to a better understanding of national economic dynamics by providing valuable insights for the design and implementation of more timely and effective public policies. Additionally, the study incorporates theoretical elements from classical and Keynesian schools of thought to contextualize the results within a solid conceptual framework. The findings will serve as a basis for future research on the country's macroeconomic stability and its vulnerability to external shocks.