Footprint of Online Booking in Hotel Industry
K. P. Dayana1, A. Joseph Xavier2, J. Pradeepkandhasamy3
1Mrs. K.P. Dayana, Assistant Professor, Department of Commerce Professional Accounting, Ayya Nadar Janaki Ammal College Autonomous, Sivakasi (Tamil Nadu), India.
2Dr. A. Joseph Xavier, Post Graduate and Research, Assistant Professor, Department of Commerce, Ayya Nadar Janaki Ammal College Autonomous, Sivakasi (Tamil Nadu), India.
3J. Pradeepkandhasamy, Department of Computer Applications, School of Computing, Kalasalingam Academy of Research and Education, (Tamil Nadu), India.
Manuscript received on 04 December 2019 | Revised Manuscript received on 16 December 2019 | Manuscript Published on 30 December 2019 | PP: 415-418 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B11411292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1141.1292S219
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The present study “Footprint of Online Booking in Hotel Industry” is systematic and experiential in nature. The research depends on the examination observed through suitable sampling techniques among the customers preferring the classes of hotels for convenience. The facts have been composed through a planned interview schedule, equipped by the investigator. It contains matters related to demographic profile, socio economic records, customer particulars and impact of hotels on Lack of knowledge regarding improvement in the hotel sector, Overall Online infrastructure of hotels, How to handle the computers for the process of booking through online ,Identify the price fluctuations for different category hotels on each item, Implementation on Online booking. . The outcome of the cram prove that the enumerated value is greater than both the table values the H0 is rejected. Hence there is a correlation association among the Lack of knowledge regarding improvement in the hotel sector, Overall Online infrastructure of Hotels, How to handle the computers for the process of booking through online, Identify the price fluctuations for different category hotels on each item, Implementation on Online booking.
Keywords: Customers, Correlation, Hotel, Online Infrastructure.
Scope of the Article: Online Learning Systems