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Sharing economy and the lodging websites : Antecedents and mediators of accommodation purchase intentions

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Purpose

The purpose of this paper is to understand the main determinants that affect accommodation purchase intentions through lodging websites in sharing economy context. This industry differs from the hotel industry because it is a community marketplace with a growing community of users where renters can monetize their extra space and list their properties to an audience of millions while travelers can find unique accommodation at any price point.

Design/methodology/approach

The authors examine factors such as perceived lodging value, perceived lodging price, lodging information, online lodging reviews, trust with the host, website usability and perceived privacy/security of the website, and measure their relationships with purchase intentions. Based on an online survey data, the structural model test outcomes explain the direct effect of the exogenous variables on purchase intentions and the mediating effect of perceived lodging value between perceived lodging price and purchase intentions.

Findings

The study demonstrates that the six latent factors and proposed associations have positive effects on purchase intentions. Thus, enterprises operating in the online lodging industry should consider these elements as key antecedents of lodging purchase intentions.

Originality/value

Lodging websites operate in a highly competitive market where they have to compete with hotel operators, hostels, bed and breakfasts and hotel comparison websites in current sharing economy. In addition, consumers usually spend a great deal of time and effort on online pre-purchase evaluation because of the ease of the information gathering process where consumers can find a wide variety of options online. Therefore, understanding the drivers that convert browsers into renters is a topic of great interest among marketing managers in the current sharing economy context.
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Keywords: E-commerce; End users; Interactive media; Structural equation modelling; Trust

Document Type: Research Article

Affiliations: 1: Faculty of Business and Law, University of Southampton, Southampton, UK 2: School of Business, Swansea University, Swansea, UK 3: UWE Bristol Business School, Bristol, UK

Publication date: June 18, 2020

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