The tourism and hospitality industry is on the cusp of a transformative era, driven by the advancements in Generative Artificial Intelligence (GAI). GAI, a specialized domain within AI, utilizes machine learning methodologies, particularly unsupervised learning algorithms, to autonomously generate content such as digital films, photos, audio, text, or codes. This technology is poised to revolutionize various sectors, with the tourism and hospitality industry being a significant beneficiary. The potential of GAI to enhance marketing, customer operations, and organizational strategies is immense, offering opportunities for improved efficiency and innovation. Despite its promising applications, the intersection of GAI and consumer behavior in this industry remains underexplored. Current research is beginning to address this gap, focusing on how GAI can influence consumer behavior, enhance customer experiences, and promote sustainable travel practices. However, a comprehensive understanding of its theoretical and practical implications is still emerging, necessitating further investigation into its potential to reshape the industry.
This research topic aims to explore the multifaceted applications and implications of Generative AI within the tourism and hospitality industry. The primary objective is to understand how GAI can be leveraged to influence consumer behavior, enhance customer experiences, and drive organizational efficiency. Key questions include how GAI can be used to personalize customer interactions, improve marketing strategies, and promote sustainable practices. Additionally, the research seeks to examine the challenges and opportunities associated with integrating GAI into existing business models and its impact on employee behavior and decision-making processes.
To gather further insights in the intersection of Generative AI and the tourism and hospitality industry, we welcome articles addressing, but not limited to, the following themes:
• GAI and its theoretical and practical understanding in consumer behavior within tourism and hospitality.
• The role of GAI, such as ChatGPT, in travel planning and decision-making.
• The impact of GAI on employee behavior in the tourism and hospitality industry.
• GAI's potential to enhance sustainability in the travel and tourism sector.
• Integration and adoption of GAI in consumer studies and marketing strategies.
• Application of GAI in promoting environmental and sustainable practices aligned with the United Nations Sustainable Development Goals (SDGs).
• Influence of GAI on customer service and experience in the tourism industry.
• GAI's role in strategic management decisions and operational cost reduction in hospitality and tourism companies.
Keywords:
GAI, AI, Artificial intelligence, tourism, hospitality, consumer behavior, customer engagement, Generative AI, optimized operations, sustainable travel, customer service, responsible travel
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The tourism and hospitality industry is on the cusp of a transformative era, driven by the advancements in Generative Artificial Intelligence (GAI). GAI, a specialized domain within AI, utilizes machine learning methodologies, particularly unsupervised learning algorithms, to autonomously generate content such as digital films, photos, audio, text, or codes. This technology is poised to revolutionize various sectors, with the tourism and hospitality industry being a significant beneficiary. The potential of GAI to enhance marketing, customer operations, and organizational strategies is immense, offering opportunities for improved efficiency and innovation. Despite its promising applications, the intersection of GAI and consumer behavior in this industry remains underexplored. Current research is beginning to address this gap, focusing on how GAI can influence consumer behavior, enhance customer experiences, and promote sustainable travel practices. However, a comprehensive understanding of its theoretical and practical implications is still emerging, necessitating further investigation into its potential to reshape the industry.
This research topic aims to explore the multifaceted applications and implications of Generative AI within the tourism and hospitality industry. The primary objective is to understand how GAI can be leveraged to influence consumer behavior, enhance customer experiences, and drive organizational efficiency. Key questions include how GAI can be used to personalize customer interactions, improve marketing strategies, and promote sustainable practices. Additionally, the research seeks to examine the challenges and opportunities associated with integrating GAI into existing business models and its impact on employee behavior and decision-making processes.
To gather further insights in the intersection of Generative AI and the tourism and hospitality industry, we welcome articles addressing, but not limited to, the following themes:
• GAI and its theoretical and practical understanding in consumer behavior within tourism and hospitality.
• The role of GAI, such as ChatGPT, in travel planning and decision-making.
• The impact of GAI on employee behavior in the tourism and hospitality industry.
• GAI's potential to enhance sustainability in the travel and tourism sector.
• Integration and adoption of GAI in consumer studies and marketing strategies.
• Application of GAI in promoting environmental and sustainable practices aligned with the United Nations Sustainable Development Goals (SDGs).
• Influence of GAI on customer service and experience in the tourism industry.
• GAI's role in strategic management decisions and operational cost reduction in hospitality and tourism companies.
Keywords:
GAI, AI, Artificial intelligence, tourism, hospitality, consumer behavior, customer engagement, Generative AI, optimized operations, sustainable travel, customer service, responsible travel
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.