Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The COVID-19 pandemic precipitated a seismic shift in global travel, compelling Online Travel Agencies (OTAs) to navigate a rapidly changing landscape defined by heightened safety expectations, intensified competition, and novel fraud risks. This study investigates two under-examined threats—coercive "taxi mafias" and fraudulent hotels or guides—and their impact on OTA performance, customer trust, and overall traveler satisfaction. Drawing on a survey of 157 Indian OTA users and a comprehensive review of recent academic and industry reports, we find that over 50% of respondents alter their booking behavior due to awareness of scams, nearly 74% report that fraudulent accommodations sharply erode their confidence, and approximately 62% express greater trust in platforms employing AI-driven fraud detection. Female and frequent OTA users report significantly higher experiences of overcharging and hostile behavior (p < .05). Despite strong overall platform loyalty, gaps in emergency support and transparency persist, particularly among women and lower-income travelers. We conclude that rigorous partner vetting, transparent pricing, 24/7 multilingual assistance, and advanced cybersecurity measures are essential for OTAs to rebuild trust and maintain market competitiveness in the post-pandemic era.
"Challenges Faced by Emerging OTA Industry", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a221-a241, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505024.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator