When do tourists prefer to continue using online travel agencies? An empirical study from Vietnam

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Online travel agencies have profoundly influenced the travel industry by offering numerous essential advantages to both consumers and service providers. This paper aims to examine the factors that influence the intention to continue using online travel agencies in Vietnam, while also assessing the moderating effect of e-loyalty on the relationship between perceived usefulness and continuance intention. An integrated research framework was constructed using the Technology Acceptance Model as its foundational basis. The study utilized the Partial Least Squares Structural Equation Modeling approach to analyze the data. The survey data were obtained through an online survey administered to a valid sample of 301 Facebook users with prior experience using online travel agencies. Compared to conventional approaches such as telephone or mail surveys, utilizing Facebook for data collection offers a more cost-efficient alternative. This platform also enables researchers to reach a broad and diverse population of potential respondents, representing a wide range of demographics, geographic locations, and backgrounds. The results reveal that perceived compatibility, perceived ease of use, innovativeness, electronic word-of-mouth, and subjective norms all positively influenced perceived usefulness. Additionally, perceived usefulness is found to have a significant impact on the intention to continue using online travel agencies, while e-loyalty positively moderates the relationship between perceived usefulness and continuance intention to use online travel agencies. These findings extend the Technology Acceptance Model within the context of online travel agencies and provide practical insights for enhancing strategies among online travel agencies in Vietnam.

Acknowledgment
The author would like to thank the International University, Vietnam National University (VNU), HCMC, for providing research assistance.

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    • Figure 1. Research model
    • Figure 2. Structural model
    • Table 1. Background information of participants
    • Table 2. Measurement scale of variables
    • Table 3. Discriminant validity and tests of differences between correlations
    • Table 4. Structural model estimates
    • Conceptualization
      Man The Nguyen
    • Data curation
      Man The Nguyen
    • Formal Analysis
      Man The Nguyen
    • Funding acquisition
      Man The Nguyen
    • Investigation
      Man The Nguyen
    • Methodology
      Man The Nguyen
    • Resources
      Man The Nguyen
    • Software
      Man The Nguyen
    • Supervision
      Man The Nguyen
    • Validation
      Man The Nguyen
    • Visualization
      Man The Nguyen
    • Writing – original draft
      Man The Nguyen
    • Writing – review & editing
      Man The Nguyen