From OTA interface design to hotels’ revenues: the impact of sorting and filtering functionalities on consumer choices

Using conjoint analysis and choice data from 1492 Dutch participants, this experimental study explores the impact of user interface functionalities on hotels’ customer online behavior and the subsequent economic ramifications for both the search engine service providers and their hotel clients. Specifically, it explores the impact of sorting and filtering on the relationship between a hotel’s placements on the initial search results booking page and the likelihood of being booked. The findings indicate that the availability of sort and filter functions generates a more balanced distribution of booking choices, as users pay more attention to the hotel characteristics that are subject to sorting and filtering functionality. If the sort and filter functions are applied to price, visitors are more likely to choose cheaper rooms, whereas when applied to customer ratings, visitors are more likely to choose rooms with better ratings. The functions affect the search agenda and consequently the economic value of placement in top positions. In addition, sorting and filtering increase the competitiveness of the search engine because it encourages users to apply additional choice criteria beyond merely relying on the hotel’s placement on the search result page.

[1]  Gaurav Bhalla Collaboration and Co-creation: New Platforms for Marketing and Innovation , 2010 .

[2]  Beibei Li,et al.  Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue , 2013, Manag. Sci..

[3]  Stephen L. Vargo,et al.  A service perspective. Key managerial insights from service-dominant (S-D) logic , 2016 .

[4]  Matthew Banta,et al.  What do exploratory searchers look at in a faceted search interface? , 2009, JCDL '09.

[5]  I. Segal,et al.  What Makes Them Click: Empirical Analysis of Consumer Demand for Search Advertising , 2012 .

[6]  Bing Pan,et al.  Travel queries on cities in the United States: Implications for search engine marketing for tourist destinations , 2011 .

[7]  Max L. Wilson Search User Interface Design , 2011, Search User Interface Design.

[8]  Barbara M. Wildemuth Evidence-based practice in search interface design , 2006 .

[9]  Emanuele Della Valle,et al.  Web Information Retrieval , 2013, Data-Centric Systems and Applications.

[10]  R. Bucklin,et al.  Effects of Internet Display Advertising in the Purchase Funnel: Model-Based Insights from a Randomized Field Experiment , 2015 .

[11]  Hemant K. Bhargava,et al.  Comparison of allocation rules for paid placement advertising in search engines , 2003, ICEC '03.

[12]  Ryen W. White,et al.  WWW 2007 / Track: Browsers and User Interfaces Session: Personalization Investigating Behavioral Variability in Web Search , 2022 .

[13]  Z. Schwartz,et al.  Room Rate Patterns and Customers' Propensity To Book a Hotel Room , 2008 .

[14]  Kevin Li,et al.  Faceted metadata for image search and browsing , 2003, CHI '03.

[15]  Bing Pan,et al.  The power of search engine ranking for tourist destinations , 2015 .

[16]  Zvi Schwartz,et al.  Connecting Search Marketing to Hotel Revenue Management: Conjoint Analysis as a Methodology to Evaluate the Optimal Online Travel Agency Commission Fee , 2016 .

[17]  Ben Shneiderman,et al.  From Keyword Search to Exploration: Designing Future Search Interfaces for the Web , 2010, Found. Trends Web Sci..

[18]  F. Gallouj,et al.  Collaborative Value Creation in Service Innovation , 2016 .

[19]  Marcia J. Bates,et al.  The design of browsing and berrypicking techniques for the online search interface , 1989 .

[20]  Michael D. Smith,et al.  Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets , 2008 .