The use of big data analytics and data spaces to implement ESG strategies in meeting tourism

• César Lapuente Álvarez ^[1] ; Sandra Monroy-Rodríguez ^[2]
  1. [1] Universitat d'Alacant

     Universitat d'Alacant

     Alicante, España

     
  2. [2] Universidad Nebrija

     Universidad Nebrija

     Madrid, España

     
• Localización: Strategy, people, and technology: challenges and opportunities in the future of business / coord. por Margarita Núñez Canal, María de las Mercedes de Obesso Arias, 2025, ISBN 978-84-1085-482-6, págs. 367-389
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The Meetings, Incentives, Conferences, and Exhibitions (MICE) sector is a significant economic driver. However, conventional impact assessments prioritize financial indicators, often overlooking Environmental, Social, and Governance (ESG) factors. This study evaluates the potential of Big Data analytics to enhance ESG measurement in MICE tourism. Through a comparative analysis of assessment models in Spain, South Korea, Colombia, Peru, Canada, and Slovakia, inconsistencies in sustainability measurement and data integration gaps are identified.

    Findings highlight the dominance of economic models such as the Satellite Tourism Account and Input-Output Analysis, which inadequately address ESG criteria. Spain's model is recognized as a benchmark due to its comprehensive integration of economic, environmental, and social indicators. Additionally, advanced digital tools demonstrate the transformative role of Big Data in real-time ESG monitoring and compliance.

    This study advocates for a hybrid, technology-driven framework that standardizes ESG metrics and enhances accountability. Implementing digital solutions can improve stakeholder transparency and foster responsible tourism. Future research should focus on developing globally recognized ESG benchmarks to ensure comparability across MICE destinations.