Living the Experience Before You Go . . . but Did It Meet Expectations? The Role of Virtual Reality during Hotel Bookings

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Virtual reality (VR) is considered an important technological development to impact the tourism industry. Hotels are constantly attempting to overcome the challenges they face in the presentation of their facilities in the virtual environment. This research has made one of the first attempts to understand VR’s ability to influence tourism consumers’ attitudes and behavioral intentions during the prepurchase phase and postpurchase phase of their purchase journey across three hotel preview styles, namely, (1) VR immersive headsets, (2) 360° VR tour, and (3) a static image website. Through a lab-based experiment with 270-participants, study 1 outlined the positive role of VR on learning about the hotel and visit intentions. Through a questionnaire with 409 actual tourism consumers following a hotel stay, study 2 detailed that VR plays a significant role in managing tourism consumers’ expectations through providing an authentic experience and stimulating the development of detailed mental imagery prior to their visit.

Related collections

Most cited references 72

Record: found
Abstract: found
Article: not found

Common method biases in behavioral research: A critical review of the literature and recommended remedies.

Philip M Podsakoff, Scott MacKenzie, Jeong-Yeon Lee … (2003)

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.