Zerrendatu honen arabera: egilea "143eca3114b472d7ccf33b010b386019"
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Digital transformation & Cooperativism
Sáez Eizagirre, Igor; Gago García, Mónica; Segura Querol, Sara (2024) -
¿En qué medida ayudan los estados de información no financiera a medir la aportación a los objetivos de desarrollo sostenible de las empresas? El caso de las empresas de Gipuzkoa.
Herce-Lezeta, Beñat; Oviedo, Aitor; Segura Querol, Sara (Euskal Herriko Unibertsitatea (EHU), 2024-01-11)Las grandes empresas españolas están obligadas a presentar Estados de Información No Financieros (EINF) desde la publicación de la Ley 11/2018. Estos informes recogen información relevante sobre el nivel de sostenibilidad ... -
Environmental versus economic performance in the EU ETS from the point of view of policy makers: A statistical analysis based on copulas
Segura Querol, Sara (Elsevier, 2017)The European Union Emissions Trading System (EU ETS) was created with the aim of promoting reductions of greenhouse gas emissions in a cost-effective and economically efficient manner. In line with this objective, when ... -
EU ETS CO2 emissions constraints and business performance: a quantile regression approach
Segura Querol, Sara (Taylor & Francis, 2014)The European Union Emissions Trading Scheme (EU ETS) is the first and largest international scheme for the trading of greenhouse gas emission allowances (European Union Allowances (EUA)). Considering that the global economic ... -
Forecasting business exceptions in robotic process automation with machine learning
Sáez Eizagirre, Igor; Segura Querol, Sara; Gago García, Mónica (2025)Business exceptions interrupt robotic process automation (RPA) workflows and oblige costly human intervention. This paper explores the application of machine learning (ML) time series forecasting techniques to predict ... -
Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period
Elorza, Maider; Segura Querol, Sara; Castellano, Eduardo (Taylor & Francis, 2025)Retail inventory management (IM) presents challenges in decision-making, especially in determining optimal inventory levels for future customer demand alignment. This study focuses on predicting dairy product demand by a ... -
Reducing product waste within the retail industry: a post-COVID-19 era study on enchancing demand prediction with hybrid prediction models
Elorza, Maider; Segura Querol, Sara; Castellano, Eduardo (Taylor & Francis, 2026)The retail sector faces growing challenges, particularly aligning with the European Union’s sustainable policies to minimize waste. This paper proposes a framework to address two pivotal goals: i) Introducing cutting-edge ...
