Paper Title
Employee Perspectives on Artificial Intelligence's Impact on the Quality of Tourism Services in Telangana
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Registration ID: IJNRD_309193
Published ID: IJNRDF001008
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Keywords
AI Applications, Tourism Service Quality, Employee Acceptance, and Artificial Intelligence (AI)
Abstract
By improving information processing and responsiveness, artificial intelligence (AI) technology has a major impact on the tourism industry, boosting both business competitiveness and visitor services. The purpose of this study is to ascertain how well personnel in Telangana tourism industry adopt AI applications and assess their opinions regarding the use of AI in tourism services. 100 workers from Hyderabad who work for travel agencies, airlines, and hotels—were surveyed. The results showed how important demographic aspects are in the adoption of AI, emphasizing the need for customized approaches that take into account the different demands and worries of different workforce groups. The study emphasizes the need for proactive steps to facilitate AI integration, focused training initiatives, and increased awareness. By concentrating on these areas, travel agencies may better handle staff issues and encourage the successful implementation of AI, which will ultimately improve customer service and operational efficiency. These observations provide insightful suggestions for developing AI technology in the travel and tourism sector in Telangana
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How To Cite (APA)
Florence Pasula & Prof. Mohammed Abdul Azeem (September-2025). Employee Perspectives on Artificial Intelligence's Impact on the Quality of Tourism Services in Telangana. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(9), 61-73. https://ijnrd.org/papers/IJNRDF001008.pdf
Issue
Volume 10 Issue 9, September-2025
Pages : 61-73
Other Publication Details
Paper Reg. ID: IJNRD_309193
Published Paper Id: IJNRDF001008
Research Area: Science and Technology
Author Type: Indian Author
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRDF001008.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDF001008
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