Vol. 2 No. 3 (2023): Technology and sustainability in process management (July-December Issue)

This issue delves into process management topics, drawing upon varied applications of machine learning, sustainability, occupational health, and market analysis for industrial and societal applications. In response to the COVID-19 pandemic, Acosta-Guzmán, I. et al. (2023) developed a Natural Language Processing (NLP) prototype in Python to analyze the experiences of infected individuals in Ecuador, highlighting common symptoms and presenting a highly effective preliminary multi-label classification model. In the energy sector, Valcárcel, A. et al. (2023) address the transition to renewable energy sources with a focus on lightning protection in photovoltaic parks, proposing comprehensive solutions. Haro, A. et al. (2023) focus on the efficiency of nitrogen utilization in ruminant animals, proposing physical and chemical treatments to improve ruminal protein degradation. Reyes-Aliaga, C. et al. (2023) examine aspects of B2B industrial market segmentation, emphasizing the need for a continuous approach in service companies. Another paper by Amador, B. et al. (2023) reveals how in-house maintenance management in aquaculture results in more efficient and cost-effective management compared to outsourcing services. Finally, Rodríguez, M. et al. (2023) investigate the impact of ergonomic noise on the health of workers in educational centers, highlighting the relationship between noise exposure and various diseases, underscoring the need to address this issue in the occupational realm. These works represent a significant step towards healthy and sustainable management practices.