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Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
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New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

Revolutionizing Travel : The Impact of Generative AI on Personalization and Efficiency in the Tourism Industry

Debarun Chakraborty1

1 Associate Professor, Indian Institute of Management Nagpur (IIM Nagpur), Nagpur - 441 108, Maharashtra

Volume 54
Issue 9
Pages 8–24
Year 2024
Received: April 1, 2024 Accepted: June 25, 2024 Published: Sept. 16, 2024
Abstract

Purpose: This study looked at the social, emotional, and functional values that influence users’ intention to use travel and tourism apps (TTA) and their trust in them, among other factors that affect their usage, in order to investigate the impact of generative artificial intelligence (GAI) content on TTA. It also explained how, even without any desire to use an app themselves, those who are uninvolved or active may nevertheless be impacted by what other people think of it or whatever information they find on it.

Methodology: The study was conducted between December 2023 and May 2024, and the questionnaire was shared with more than 5,000 users. Ultimately, we received 440 replies from the various respondents.

Findings: These results demonstrated that when people viewed usage information about friend-recommended apps with positive comments, both social influence processes may be activated; however, only normative information may persuade people not to use those apps if their friends had given them bad reviews.

Implications: It also examined potential optimizations for AI integration in the tourism industry. Additionally, this work addressed ethical and demographic issues related to this technology; as a result, further research on the broader effects of AI technology on the industry is feasible.

Originality: This study has been built on how consumption values affected the intention to use GAI-based TTA in the Indian context.

Keywords travel and tourism apps generative AI (GAI) trust online risk perception intention to use
How to Cite

Debarun Chakraborty (2024). Revolutionizing Travel : The Impact of Generative AI on Personalization and Efficiency in the Tourism Industry. Indian Journal of Marketing, 54(9), 8–24. https://doi.org/10.17010/ijom/2024/v54/i9/174394

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