Leveraging Behavioural Science Language and Artificial Intelligence in Tourism Marketing

Doctoral Thesis / Dissertation from the year 2023 in the subject Computer Sciences - Artificial Intelligence, language: English, abstract: This thesis examines the integration of behavioural science terminology and artificial intelligence (AI) in tourism marketing. The primary objective of this study is to identify and analyse the potential synergies between these interdisciplinary disciplines and investigate novel strategies for enhancing marketing campaigns and promoting sustainable tourism. The study employs a multi-method approach, including a comprehensive literature review, in-depth interviews with industry experts, and case studies of effective marketing campaigns that engage AI and behavioural science principles. Tourism is a critical contributor to the global economy, accounting for an estimated 1-in-10 jobs worldwide. In the post-Covid era, the sector has experienced significant growth, leading to intense competition among tourism organizations and marketers seeking innovative and sophisticated marketing strategies to attract and retain customers. A promising approach to enhance customer experiences and maximize marketing efforts is integrating behavioural science and artificial intelligence (AI) in tourism marketing, optimizing marketing activities' effectiveness. Behavioural science involves systematically studying and researching decision-making processes, cognitive biases, and social influences to understand consumer behaviour better, promote environmentally friendly options, and influence purchasing decision. Similarly, AI technologies, such as machine learning and natural language processing, hold the potential to revolutionize business operations and customer engagement. When applied to tourism marketing, combining behavioural science and AI can improve personalization, targeting, and customer interactions, resulting in higher satisfaction and loyalty.

Author: Ray Tinston
Publisher: Grin Verlag
Published: 07/10/2023
Pages: 242
Binding Type: Paperback
Weight: 0.71lbs
Size: 8.27h x 5.83w x 0.55d
ISBN13: 9783346907820
ISBN10: 3346907821
BISAC Categories:
- Computers | Networking | General

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