A Machine Learning Perspective on Knowledge Management in Tourism Business

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Author(s): Usharani Bhimavarapu (Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India)
Copyright: 2026
Pages: 28
Source title: Harnessing Innovation for Personalized Tourism
Source Author(s)/Editor(s): Spyros Avdimiotis (International Hellenic University, Greece)
DOI: 10.4018/979-8-3373-2053-3.ch006

Keywords: Business Science Reference / Hospitality, Travel, and Tourism Management / Knowledge Management and Library Science / Technology Adoption & Evolution

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Abstract

Knowledge Management and Innovation are critical drivers of success in the dynamic and competitive tourism operations sector. Efficient knowledge management enables tourism organizations to capture, organize, and leverage valuable information from various sources, including customer feedback, operational data, and market trends. Innovation builds upon this knowledge base to develop new services, improve customer experiences, and optimize operational processes. This study explores the integration of these two elements using advanced computational techniques, specifically a bi-stacked Artificial Neural Network (ANN), to analyze their impact on tourism operations. By applying feature selection through Ant Colony Optimization (ACO), the study ensures that the most relevant data attributes are utilized for accurate prediction and analysis. The findings highlight how effective knowledge management combined with continuous innovation can significantly enhance service quality, operational efficiency, and competitiveness in the tourism accommodation sector.

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