Online Tourism Information and Tourist Behavior: A Structural Equation Modeling Analysis Based on a Self-Administered Survey

Salman Majeed, Zhimin Zhou, Changbao Lu, Haywantee Ramkissoon

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)

Abstract

This study presents the interacting phenomena of perceptions of tourist destination online content (TDOC) and tourists’ behavioral intentions with a mediating role of tourists’ satisfaction, which is as yet under-explored in hospitality and tourism research. A model based on three main constructs, namely TDOC (with sub-constructs of online information quality and user-friendly accessibility), satisfaction, and tourists’ behavioral intentions [with sub-constructs of intentions to visit a tourist destination and electronic word-of-mouth (eWOM)], is presented to determine the growth of tourism business with the internet. Data were collected via a questionnaire-based survey from 413 tourists staying at hotels in Lahore city in Pakistan. Partial least square structural equation modeling was used to statistically analyze the gathered data. The findings indicate that tourists’ perceptions of TDOC directly influence their behavioral intentions, while tourists’ satisfaction exerts a mediating influence between tourists’ perceptions of TDOC and their behavioral intentions. Taking advantage of an economical and widespread online environment, destination marketing organizations could attract more tourists by fostering confidence in TDOC and positive eWOM to remain competitive in the long run. Important theoretical and practical implications are discussed.

Original languageEnglish
Article number599
JournalFrontiers in Psychology
Volume11
DOIs
Publication statusPublished - 21 Apr 2020

Keywords

  • destination marketing
  • electronic word-of-mouth
  • online tourism information
  • satisfaction
  • tourist behavior
  • tourist perceptions

ASJC Scopus subject areas

  • General Psychology

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