An Empirical Exploration of the Success Dynamics of Online Tourism Aggregators in India

Prof. Kishor Chandra Sahu*, Ms. Anindita Das, Mr. Trasoju Phanindra Chary and Mr. Neerudu Sanjay Mudhiraj
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Prof. Kishor Chandra Sahu*: Associate Professor, ICBM-SBE, Hyderabad, India
Ms. Anindita Das: Post Graduate Scholar in Marketing
Mr. Trasoju Phanindra Chary: Post Graduate Scholar in Marketing
Mr. Neerudu Sanjay Mudhiraj: Post Graduate Scholar in Marketing

The Journal of Social Sciences Research, 2018, vol. 4, issue 12, 769-776

Abstract: This study is the reflection of the various factors affecting the online tourism aggregators in this Techno enthusiastic world. In this study the factors affecting tourism aggregators are identified and analysed for the purpose of measuring their success. Growing in number of web clients and utilization of web, alongside headway in data innovation is putting forth relative information in the virtual space. Indian tourism is having new opportunities as many foreign investments are made on the hotels, which in a way is promoting the India tourism. Besides many tourism applications are also popping up each day. Even in the recent times, the government has come up with investments plans towards the tourism industry as well as the technical base for India. Hence it gives an extensive scope for the industry to grow. The latest promotional efforts and celebrity endorsements in the tourism industry has created revolutionary impact and took Indian Tourism to the next level. Hence, the conglomerate of technology and tourism and their mutual impact is the integral part of the research. This research focuses on assessing impact on the online conversion of travellers. A logistic regression model in SPSS has been designed to find significant relation between the independent variables and dependent variable. It also analyses the factors which are affecting significantly in the success of the aggregators specific to tourism industry. This paper seeks to explore the industry from the perspective of technology and provide a deeper insight of the same.

Keywords: Tourism Aggregators; Adaptability; Online payment; Logistic regression. (search for similar items in EconPapers)
Date: 2018
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