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.
AliF (2016) Hotel website quality, perceived flow, customer satisfaction and purchase intention. Journal of Hospitality and Tourism Technology7(2): 213–228.
2.
BaggioRDel ChiappaG (2013) Real and virtual relationships in tourism digital ecosystems. Information Technology & Tourism14(1): 3–19.
BalouchiMAzizYAHasangholipourT, et al. (2017) Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents. Journal of Hospitality and Tourism Technology8(2): 168–189.
5.
BeritelliPScheggR (2016) Maximizing online bookings through a multi-channel-strategy: effects of interdependencies and networks. International Journal of Contemporary Hospitality Management28(1): 68–88.
6.
BuhalisDLawR (2008) Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management29(4): 609–623.
CalheirosACMoroSRitaP (2017) Sentiment classification of consumer-generated online reviews using topic modeling. Journal of Hospitality Marketing & Management26(67): 675–693.
9.
CaoZYangZ (2016) A study of e-commerce adoption by tourism websites in China. Journal of Destination Marketing & Management5(3): 283–289.
10.
ChuangTCLiuJSLuLYY, et al. (2017) The main paths of eTourism: trends of managing tourism through Internet. Asia Pacific Journal of Tourism Research22(2): 213–231.
11.
ConstantinC (2012) Marketing Data Analysis—Applications in SPSS [Analiza datelor de marketing—Aplicatii in SPSS]. Bucharest: C.H. Beck.
12.
CoriglianoMABaggioR (2006) On the significance of tourism website evaluations. In: HitzMSigalaMMurphyJ (eds), Information and Communication Technologies in Tourism. Vienna: Springer, pp. 320–331.
DickingerAMazanecJ (2008) Consumers’ preferred criteria for hotel online booking. In: O’ConnorPHöpkenWGretzelU (eds), Information and Communication Technologies in Tourism. Vienna: Springer, pp. 244–254.
15.
DunneGFlanaganSBuckleyJ (2011) Towards a decision making model for city break travel. International Journal of Culture Tourism and Hospitality Research5(2): 158–172.
FernandesTFernandesF (2017) Sharing dissatisfaction online: analyzing the nature and predictors of hotel guests negative reviews. Journal of Hospitality Marketing & Management27(2):127–150.
19.
Fernández-CaviaJRoviraCDíaz-LuqueP, et al. (2014) Web Quality Index (WQI) for official tourist destination websites. Proposal for an assessment system. Tourism Management Perspectives9: 5–13.
20.
FesenmaierDRXiangZPanB, et al. (2010) A framework of search engine use for travel planning. Journal of Travel Research50(6): 587–601.
21.
FlaviánCGuinalíuMGurreR (2006) The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management43(1): 1–14.
22.
Fu TsangNKLaiMTHLawR (2010) Measuring e-service quality for online travel agencies. Journal of Travel & Tourism Marketing27(3): 306–323.
23.
GaoBLiSLiuS, et al. (2018).How power distance affects online hotel ratings: the positive moderating roles of hotel chain and reviewers’ travel experience. Tourism Management65: 176–186.
24.
HahnSESparksBWilkinsH, et al. (2017) E-service quality management of a hotel website: a scale and implications for management. Journal of Hospitality Marketing & Management26(7): 694–716.
25.
IpCLawRLeeHA (2010) A review of website evaluation studies in the tourism and hospitality fields from 1996 to 2009. International Journal of Tourism Research13(3): 234–265.
26.
KamalSBMAbdullahDNorNM, et al. (2018) Hotel booking websites and their impact on e-satisfaction and e-loyalty: analysis on utilitarian and hedonic features. International Journal of Academic Research in Business and Social Sciences8(15): 160–177.
27.
KimHFesenmaierDR (2008) Persuasive design of destination web sites: an analysis of first impression. Journal of Travel Research47(1): 3–13.
28.
KimHXiangZFesenmaierDR (2015) Use of the internet for trip planning: a generational analysis. Journal of Travel & Tourism Marketing32(3): 276–289.
29.
KimSStoelL (2004) Apparel retailers: website quality dimensions and satisfaction. Journal of Retailing and Consumer Services11(2): 109–117.
30.
KimWGParkSA (2017) Social media review rating versus traditional customer satisfaction: Which one has more incremental predictive power in explaining hotel performance?International Journal of Contemporary Hospitality Management29(2): 784–802.
31.
LawR (2019) Evaluation of hotel websites: progress and future developments. International Journal of Hospitality Management76(B): 2–9.
32.
LawRChungT (2003) Website performance: Hong Kong hotels. Hospitality Review21(1): 33–46.
33.
LawRHsuCHC (2006) Importance of hotel website dimensions and attributes: perceptions of online browsers and online purchasers. Journal of Hospitality & Tourism Research30(3): 295–312.
34.
LawRLeungRBuhalisD (2009) Information technology applications in hospitality and tourism: a review of publications from 2005 to 2007. Journal of Travel & Tourism Marketing26(5–6): 599–623.
35.
LeeYKozarKA (2012) Understanding of website usability: specifying and measuring constructs and their relationships. Decision Support Systems52(2): 450–463.
36.
LeeKMYoonHYParkHW (2017) From online via offline to online: how online visibility of tourism information shapes and is shaped by offline visits. Journal of Travel & Tourism Marketing34(9): 1143–1154.
37.
LefterC (2004) Marketing research [Cercetarea de marketing]. Brasov: Infomarket.
38.
MiguénsJBaggioRCostaC (2008) Social media and tourism destinations: TripAdvisor case study. In: Conference Proceedings of the IASK International Conference on Advances in Tourism Research, Aveiro, Portugal, 26–28 May 2008.
39.
MohseniSJayashreeSRezaeiS, et al. (2018) Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention. Current Issues in Tourism21(6): 616–645.
40.
MummalaneniV (2005) An empirical investigation of website characteristics, consumer emotional states and on-line shopping behavior. Journal of Business Research58(4): 526–532.
41.
MurphyHCChenMM (2014) Online information sources used in hotel bookings examining relevance and recall. Journal of Travel Research55(4): 523–536.
PhelanKVMillsJEDouglasAC, et al. (2013) Digital personalities: an examination of the online identity of travel and tourism web sites. Journal of Hospitality and Tourism Technology4(3): 248–262.
46.
RamosCMCorreiaMBRodriguesJM, et al. (2016) Hotel websites characterisation framework for consumer’s information needs. Tourism & Management Studies12(1): 25–26.
RezaeiSAliFAminM, et al. (2016) Online impulse buying of tourism products: the role of web site personality, utilitarian and hedonic web browsing. Journal of Hospitality and Tourism Technology7(1): 60–83.
50.
SainaghiRBaggioRPhillipsP, et al. (2018) Hotel performance and research streams: a network cluster analysis. International Journal of Contemporary Hospitality Management30(8): 1–36.
51.
SawSLGohYNIsaSM (2015) Exploring consumers’ intention toward online hotel reservations: insights from Malaysia. Problems and Perspectives in Management13(2): 249–257.
52.
SchuckertMLiuXLawR (2015) Hospitality and tourism online reviews: recent trends and future directions. Journal of Travel & Tourism Marketing32(5): 608–621.
53.
SigalaM (2018) New technologies in tourism: from multi-disciplinary to anti-disciplinary advances and trajectories. Tourism Management Perspectives25: 151–155.
54.
TianJWangS (2017) Signaling service quality via Website e-CRM features. Journal of Hospitality & Tourism Research41(2): 211–245.
55.
TsangNKFLaiMTHLawR (2010) Measuring e-service quality for online travel agencies. Journal of Travel & Tourism Marketing27(3): 306–323.
56.
WenI (2012) An empirical study of an online travel purchase intention model. Journal of Travel & Tourism Marketing29(1): 18–39.
57.
WuCHJLiHJChiuCW (2014) Understanding consumer responses to travel websites from online shopping value and flow experience perspectives. Tourism Economics20(5): 1087–1103.
58.
XiangZDuQMaY, et al. (2017) A comparative analysis of major online review platforms: implications for social media analytics in hospitality and tourism. Tourism Management58: 51–65.
59.
XieKLChenCWuS (2015) Online consumer review factors affecting offline hotel popularity: evidence from TripAdvisor. Journal of Travel & Tourism Marketing33(2): 211–223.
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