Relevance of the features regarding the performance of booking websites

Nowadays, the tourists increasingly prefer to plan their travels using online search engines, to the detriment of classical travel agencies. A well-designed and well-managed booking website can satisfy the tourists’ needs, whereas a less intuitive one can make them dissatisfied. The search engine developers cannot develop an effective and efficient booking website which satisfies the users’ needs, creates a favorable experience for them, and influences their intention to purchase, without understanding the users’ needs regarding the search engines attributes and features. This study applies a quantitative research, collects primary data, and investigates how booking websites can move from a basic to a sophisticated online presence. The aim of the analysis is to provide an insight regarding the tourists’ preferences and their interface needs, as well as the filters and the options that may help them find the most relevant results for the chosen destinations. The study develops a comprehensive performance evaluation model for booking websites using specific attributes and features of the tourism industry. This model includes usability and functionality dimensions that have been identified by analyzing six booking websites, three used at the international level (Booking, Priceline, and Hotwire) and three used only in Romania (Vola, Infoturism, and Carta), and correlated with the customers’ needs regarding booking websites and hotel website evaluation. The results are useful for booking website developers and can be used to adapt their user interfaces, making them far more user-friendly. Suggestions are made regarding how to improve the performance of booking websites and potential ways for future research are discussed.

[1]  José Fernández-Cavia,et al.  Web quality index (WQI) for official tourist destination websites: proposal for an assessment system , 2014 .

[2]  K. Phelan,et al.  Digital personalities: an examination of the online identity of travel and tourism web sites , 2013 .

[3]  Ana Catarina Calheiros,et al.  Sentiment Classification of Consumer-Generated Online Reviews Using Topic Modeling , 2017 .

[4]  Rodolfo Baggio,et al.  Real and virtual relationships in tourism digital ecosystems , 2013, Information Technology & Tourism.

[5]  S. Mohseni,et al.  Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention , 2018 .

[6]  R. Law,et al.  Measuring E-Service Quality for Online Travel Agencies , 2010 .

[7]  I. Wen.  An Empirical Study of an Online Travel Purchase Intention Model , 2012 .

[8]  R. Law,et al.  INFORMATION TECHNOLOGY APPLICATIONS IN HOSPITALITY AND TOURISM: A REVIEW OF PUBLICATIONS FROM 2005 TO 2007 , 2009 .

[9]  Sophia Wang,et al.  Signaling Service Quality via Website e-CRM Features , 2017 .

[10]  A. Tjoa,et al.  Information and Communication Technologies in Tourism , 1996, Springer Vienna.

[11]  Zheng Xiang,et al.  A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism , 2017 .

[12]  Karen L. Xie,et al.  Online Consumer Review Factors Affecting Offline Hotel Popularity: Evidence from Tripadvisor , 2016 .

[13]  P. Phillips,et al.  Hotel performance and research streams: a network cluster analysis , 2018, International Journal of Contemporary Hospitality Management.

[14]  R. Law.  Evaluation of hotel websites: Progress and future developments (invited paper for ‘luminaries’ special issue of International Journal of Hospitality Management) , 2019, International Journal of Hospitality Management.

[15]  Gerard Dunne,et al.  Towards a decision making model for city break travel , 2011 .

[16]  L. Twining-Ward,et al.  Tourism and the Sharing Economy , 2018 .

[17]  S. Isa,et al.  Exploring consumers’ intention toward online hotel reservations: insights from Malaysia , 2017 .

[18]  V. Mummalaneni,et al.  An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors , 2005 .

[19]  Beverley Sparks,et al.  E-service Quality Management of a Hotel Website: A Scale and Implications for Management , 2017 .

[20]  M. Balouchi,et al.  Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents , 2017 .

[21]  Faizan Ali,et al.  Hotel website quality, perceived flow, customer satisfaction and purchase intention , 2016 .

[22]  Zheng Xiang,et al.  Use of The Internet for Trip Planning: A Generational Analysis , 2015 .

[23]  Marisol B. Correia,et al.  Hotel websites characterisation framework for consumer's information needs Referencial para a caracterização de websites de hotéis de acordo com as necessidades dos consumidores , 2016 .

[24]  Rob Law,et al.  Importance of Hotel Website Dimensions and Attributes: Perceptions of Online Browsers and Online Purchasers , 2006 .

[25]  Zhaoping Yang,et al.  A study of e-commerce adoption by tourism websites in China , 2016 .

[26]  Astrid Dickinger,et al.  Consumers' Preferred Criteria for Hotel Online Booking , 2008, ENTER.

[27]  E. Halpenny,et al.  Social media analytics in hospitality and tourism , 2019, Journal of Hospitality and Tourism Technology.

[28]  D. Fesenmaier,et al.  Persuasive Design of Destination Web Sites: An Analysis of First Impression , 2008 .

[29]  R. Schegg,et al.  Maximizing online bookings through a multi-channel-strategy: Effects of interdependencies and networks , 2016 .

[30]  R. Law,et al.  Website Performance: Hong Kong Hotels , 2003 .

[31]  John S. Liu,et al.  The main paths of eTourism: trends of managing tourism through Internet , 2017 .

[32]  R. Baggio,et al.  Social media and Tourism Destination: TripAdvisor Case Study , 2008 .

[33]  R. Law,et al.  Hospitality and Tourism Online Reviews: Recent Trends and Future Directions , 2015 .

[34]  Younghwa Lee,et al.  Understanding of website usability: Specifying and measuring constructs and their relationships , 2012, Decis. Support Syst..

[35]  Teresa Fernandes,et al.  Sharing Dissatisfaction Online: Analyzing the Nature and Predictors of Hotel Guests Negative Reviews , 2018 .

[36]  Baojun Gao,et al.  How power distance affects online hotel ratings: the positive moderating roles of hotel chain and reviewers' travel experience. , 2018 .

[37]  S. Jayashree,et al.  Online impulse buying of tourism products: The role of web site personality, utilitarian and hedonic web browsing , 2016 .

[38]  C. Wu,et al.  Understanding Consumer Responses to Travel Websites from Online Shopping Value and Flow Experience Perspectives , 2014 .

[39]  Rob Law,et al.  A review of website evaluation studies in the tourism and hospitality fields from 1996 to 2009 , 2011 .

[40]  M. Sigala.  New technologies in tourism: From multi-disciplinary to anti-disciplinary advances and trajectories , 2018 .

[41]  L. Stoel,et al.  Apparel retailers: website quality dimensions and satisfaction , 2004 .

[42]  Woo Gon Kim,et al.  Social media review rating versus traditional customer satisfaction , 2017 .

[43]  Han Woo Park,et al.  From online via offline to online: how online visibility of tourism information shapes and is shaped by offline visits , 2017 .

[44]  R. Law,et al.  Progress in information technology and tourism management: 20 years on and 10 years after the Internet - the state of eTourism research. , 2008 .

[45]  B. Pan,et al.  A Framework of Search Engine Use for Travel Planning , 2011 .

[46]  R. Gurrea,et al.  The role played by perceived usability, satisfaction and consumer trust on website loyalty , 2006, Inf. Manag..

[47]  Hilary Catherine Murphy,et al.  Online Information Sources Used in Hotel Bookings , 2016 .