Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/291575
Title: eDistribution and Revenue Management within Chandigarh Hotels
Researcher: Kumar Manoj
Guide(s): Rojhe Kuldeep Chand
Keywords: Economics and Business
Management
Social Sciences
University: Shoolini University of Biotechnology and Management Sciences
Completed Date: 2019
Abstract: newline ABSTRACT newlinePresent research work was conducted in the union territory of Chandigarh, with the newlineprimary objectives to understand the adoption of e-Distribution by hotels, determine newlinethe usage of e-Distribution by customers and to identify the contribution of e- newlineDistribution in hotels revenue. After conducting a pilot study, two questionnaires newlinewere prepared to collect two different types of data. First related to hotel specific newlineinformation covering the e-Distribution and revenue parameters and the second newlinerelated to the e-Distribution usage and perception by consumers. newlineOnly the hotels where the hotel was connected with at-least one e-Distribution newlinechannel were considered for this study. The first questionnaire was designed to collect newlinehotel level data; The complete enumeration was taken as part of the study. The five newlineyears of hotel-specific data was obtained related to the e-Distribution and revenue. newlineFor the guest specific data convenient sampling method was used and data of five newlinehundred and nine respondents was collected. The seasonal data of consumers was newlinecollected during summer, monsoon and winter season. newlineThe study reveals that Amadeus and MakeMyTrip were most widely used e- newlineDistribution systems. The adoption of e-Distribution was more related to the number newlineof rooms (inventory) in the hotel instead of the star rating. e-Distribution contribution newlinein the overall inventory grew with the Compound Annual Growth Rate of 34.82% newlineduring the period starting from FY 2010-11 to FY 20144-15. Contribution in e- newlineDistribution through proprietary website increased to 0.58% from 0.19% for the same newlineperiod with Compound Annual Growth Rate 32.18%. newlineThe study also reveals that when consumer book hotel room online, the price is the newlinemost crucial deciding factor followed by reservations cancellation policy and location newlineof the hotel and, to repeat a stay in the same hotel, for male traveller s price is the newlinemost crucial deciding factor and for the female travellers, service is the most critical newlinedeciding factor. The study also reveals that male travellers are much more newlineoutnumbered than female travellers. Found that forty seven percent guests prefer to newlinebook at last minute (within twenty-four hours of check-in), and forty one percent newlineguests prefer to book at least twenty-four hours in advance but range up-to seven days newlinein advance. There are just twelve percent guests who wish to book more than seven newlinepercent in advance. The study also observed that e-Distribution and revenue newlineviii newlinemanagement is more effectively used by the four and five-star hotels compared to newlinetheir peers. newlineKey Words: Online Hotel Booking Behaviour, e-Distribution and Revenue newlineManagement, OTA, RevPAR etc. newlineix
Pagination: 144p
URI: http://hdl.handle.net/10603/291575
Appears in Departments:Faculty of Management and Liberal Arts.



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