Socially Enhanced Travel Booking: A Case Study

Rudström, Åsa; Fagerberg, Petra

doi:10.3727/1098305031436962

Cited by 8 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To indicate the popularity of the different choices Voyage aggregates information from past reservations of employees and presents statistical measures, such as: the percentage of people renting a car in a specific city, the most frequently reserved hotel, or the flight route usually taken when traveling from one place to another. Statistical measures were also used to help users in an online travel booking service [15]. The statistical measures are mainly shown on result pages.…”

Section: Learn From Past Travelsmentioning

confidence: 99%

Bon voyage

Aizenbud-Reshef

Barger

Guy

et al. 2012

Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work

View full text Add to dashboard Cite

A proliferation of travel-related web sites enable people to share their travel plans, review hotels, offer advice, and more. In this paper we study social travel planning in the enterprise. While business travelers and leisure travelers have different preferences and needs, employees may benefit from sharing information and travel plans within the enterprise. We present a study collecting the requirements for social travel from employees, detail the design principles of a social travel application in the enterprise, and present Voyage, the outcome. We evaluated Voyage based on qualitative and quantitative data and discuss the results using four perspectives: collaborative activities, social information impact, usage patterns, and sharing behavior. Employees expressed their growing satisfaction from the social information contributed by fellow employees. Moreover, we observed that Voyage shortens the reservation time, thus saving costs for the enterprise.

show abstract

Section: Learn From Past Travelsmentioning

confidence: 99%

Bon voyage

Aizenbud-Reshef

Barger

Guy

et al. 2012

Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work

View full text Add to dashboard Cite

show abstract

“…In addition to modeling tourist behavior when they are already on the road, understanding decision process that led to booking of the trip is equally important, as it allows tourist companies to actively influence decisions of a potential customer at its source through better ad targeting [4]. For example, effect of online reviews on booking decisions is explored in [6], while [1] analyzes impact of information…”

Section: Introductionmentioning

confidence: 99%

Travel the World

Djuric¹,

Grbovic²,

Radosavljević³

et al. 2016

Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion

View full text Add to dashboard Cite

Tourism industry has grown tremendously in the previous several decades. Despite its global impact, there still remain a number of open questions related to better understanding of tourists and their habits. In this work we analyze the largest data set of travel receipts considered thus far, and focus on exploring and modeling booking behavior of online customers. We extract useful, actionable insights into the booking behavior, and tackle the task of predicting the booking time. The presented results can be directly used to improve booking experience of customers and optimize targeting campaigns of travel operators.

show abstract