This paper proposes a conceptual framework to analyze the relationship between electronic tourism (e-tourism) and tourists’ satisfaction and how they affect revisit intentions at marine tourism destinations. A cross-sectional survey design with a quantitative research approach is suggested to collect data from 275 tourists that have used e-tourism platforms at the time of these destinations visit. The study uses three main constructs: e-tourism which is measured by information quality and service quality, tourist satisfaction, which is measured by overall satisfaction and experience quality, and revisit intention which is measured by likelihood to return. Partial least squares structural equation modeling (PLS-SEM) statistical analysis will be used for the data to test the relationships between constructs. The study also posits two hypotheses (1) e-tourism has a significant impact on revisit intentions and (2) Tourist satisfaction plays a crucial role in influencing these intentions. It also suggests implications for tourism managers, emphasizing the relevance of e-tourism and satisfaction from a marine perspective in encouraging return visitation, which is strategic for the marketability and sustainability of these tourist destinations in the long run.

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From Clicks to Revisit: A Conceptual Framework for Understanding the Cognitive and Emotional Journey in Marine Tourism

  • Yupiter Mendrofa,
  • Endang Sulistya Rini,
  • Iskandar Muda,
  • Fadli

摘要

This paper proposes a conceptual framework to analyze the relationship between electronic tourism (e-tourism) and tourists’ satisfaction and how they affect revisit intentions at marine tourism destinations. A cross-sectional survey design with a quantitative research approach is suggested to collect data from 275 tourists that have used e-tourism platforms at the time of these destinations visit. The study uses three main constructs: e-tourism which is measured by information quality and service quality, tourist satisfaction, which is measured by overall satisfaction and experience quality, and revisit intention which is measured by likelihood to return. Partial least squares structural equation modeling (PLS-SEM) statistical analysis will be used for the data to test the relationships between constructs. The study also posits two hypotheses (1) e-tourism has a significant impact on revisit intentions and (2) Tourist satisfaction plays a crucial role in influencing these intentions. It also suggests implications for tourism managers, emphasizing the relevance of e-tourism and satisfaction from a marine perspective in encouraging return visitation, which is strategic for the marketability and sustainability of these tourist destinations in the long run.