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The Influence of the characteristics of online itinerary on purchasing behavior

The Influence of the characteristics of online itinerary on purchasing behavior

Jin, Qian, Hu, Hui, Su, Xiaozhi and Morrison, Alastair ORCID: 0000-0002-0754-1083 (2021) The Influence of the characteristics of online itinerary on purchasing behavior. Land, 10 (9):936. ISSN 2073-445X (Print), 2073-445X (Online) (doi:https://doi.org/10.3390/land10090936)

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Abstract

This study presents insights into the influence of the characteristics of tourism itineraries on tourist purchasing behavior. We adopted data between 1 August 2019 and 30 November 2019 from the Qunar, the biggest online tourism platform in China and 4366 samples on travel itineraries were obtained. The ordinary least square regression (OLS) method was used. Controlling for product�related and channel-related factors, we demonstrate that in terms of tourism destination choice, outbound tourism products attract an increased number of tourists; in terms of the types of travel, private travel has replaced group travel to become the majority of the tourism market; in terms of the length of travel, mid-term travel (4–6 days) is the first choice, outnumbering short-term and long-term ones; price promotions such as discount for early decision, multi-person price reduction and membership prices significantly lead to increased sales; online reviews also have great impact on tourist purchasing behavior. In sum, this study uses a unique data set to reveal the influence of online tourism product characteristics on sales and provide potential guidance of the marketing strategy in response to consumer behavior for the online tourism industry.

Item Type: Article
Uncontrolled Keywords: online tourism; characteristics; tourism itineraries; purchasing behavior; tourists
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HF Commerce
Faculty / School / Research Group: Faculty of Business
Faculty of Business > Tourism Research Centre
Related URLs:
Last Modified: 09 Sep 2021 13:16
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33803

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