The mediating and moderating effects on the intention to use navigation apps

Zhanjing Zeng, Po Ju Chen, Xiao Xiao, Peixue Liu, Jie Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The purpose of this paper is to explore external, mediator and moderator factors that influence tourist intention to use GPS-based navigation apps from the perspective of spatiotemporal tourist behavior (STTB). Design/methodology/approach: A total of 636 valid questionnaires were selected from tourists visiting Lijiang Ancient Town. The partial least squares-structural equation modeling with the SmartPLS approach was adopted to estimate and validate the model. Findings: The results of this paper showed that wayfinding efficiency, sensation-seeking behavior and spatial ability (SA) influence tourists’ intention to use (IU) navigation apps. A mediator of perceived location accuracy between SA and IU has been found. A multigroup generation moderator is verified in the model. Practical implications: This paper provides a better understanding of the relationship between tourist spatiotemporal behavior and navigation apps, presenting practical suggestions for app developers, destination managers and vacation planners. Originality/value: While the effects of information technology on tourist behavior have become a topic of interest among tourism industry stakeholders, this paper examines the effects of STTB on the acceptance of navigation apps in reverse, which enriches the theoretical framework.

Original languageEnglish (US)
Pages (from-to)972-991
Number of pages20
JournalJournal of Hospitality and Tourism Technology
Volume13
Issue number5
DOIs
StatePublished - Nov 30 2022

Keywords

  • Lijiang Ancient Town
  • Mediator
  • Multigroup Moderator
  • Navigation apps
  • Partial Least Squares Structural Equation Modeling (PLS-SEM)
  • Spatiotemporal tourist behavior (STTB)

ASJC Scopus subject areas

  • Information Systems
  • Tourism, Leisure and Hospitality Management
  • Computer Science Applications

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