Internal communication is a critical and strategic element in achieving success for any organization. This paper presents a longitudinal study and opinion analysis that utilizes the k-means algorithm to examine the level ...

Effective inventory management is a constant challenge for SMEs. Stockouts represent a significant obstacle that affects the operability and profitability of these companies. The aim of this study is to develop an affordable ...

In this study, the relevance of strengthening operations in the Commerce sector is highlighted, since it expands economic opportunities. In addition, within the field of commerce are the retail industries or department ...

Currently, competitiveness within the service industry has reached outstanding levels. In the pursuit of increasing the quality and efficiency of services, the approaches of continuous improvement acquire undeniable ...

The contractual relationship of a security company is dependent on the subjectivity of the owner of the service and variable to the daily incidents of the service. The NPS helps companies in this sector to quantify the ...

The textile industry is one of the most polluting industries in the world, due to the significant environmental impact it generates. Therefore, the adoption of measures to optimize its processes is necessary to reduce ...

This research focused on micro and small enterprises (MSEs) which comprise 96% of the textile industry in Peru. This sector is the most important manufacturing activity. Work-related musculoskeletal disorders (MSD) were ...

This article describes the design of a device that uses Deep learning and computer vision libraries to allow the analysis of postures in geriatric patients. The objective of the study was to evaluate the relationship between ...

In this study, multivariate linear regression models and principal component analysis, and artificial neural networks (ANN) were designed to predict the monthly cost of biomedical equipment maintenance services in the ...

IoT networks, cloud-based applications and the use of artificial intelligence models in precision agriculture present an important opportunity to increase production and optimize the use of water resources, which will allow ...