Attractive inbound marketing on tourist loyalty at tourism destination in Indonesia

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Tourist loyalty is the commitment of tourists to a destination, which is reflected in their desire to make repeat visits, give positive recommendations to others, and maintain a preference for the destination despite similar choices. This research investigates the impact of omni-channel marketing on tourist loyalty by analyzing the roles of inbound marketing, memorable tourist experiences, and destination images. This study’s population consists of domestic tourists who visit several tourist attractions on Lake Toba, especially in Balige Regency, Simalungun Regency, and Samosir Regency. However, the sample is determined as part of the total population chosen to represent the entire population. Using a quantitative research design, data were collected from 356 participants via questionnaires. Structural Equation Modeling-Partial Least Squares (SEM-PLS) was employed, followed by Multi-Group Analysis (MGA). Results indicate that omni-channel marketing contributes significantly to creating memorable tourist experiences, though it does not directly influence loyalty. Furthermore, omni-channel marketing positively affects attractive inbound marketing, enhancing memorable tourist experiences. However, despite these enhancements in experience, more than memorable tourist experiences are required to drive loyalty substantially. Likewise, attractive inbound marketing does not significantly affect loyalty through memorable tourist experiences. However, destination attributes directly influence tourist loyalty, underscoring the importance of well-maintained and appealing attractions for fostering repeat visits.

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    • Figure 1. Research model
    • Table 1. Respondent characteristics
    • Table 2. Loading factor
    • Table 3. Composite Reliability, Cronbach’s Alpha, and Average Variance Extracted
    • Table 4. Discriminant validity test results are based on the Fornell-Larcker AVE value
    • Table 5. Inner model test results based on R-squared parameters
    • Table 6. Hypothesis testing of direct effect between variables
    • Table 7. Hypothesis testing of indirect effects between variables
    • Conceptualization
      Fadli Adnin Nasution, Paham Ginting
    • Data curation
      Fadli Adnin Nasution, Amlys Syahputra Silalahi
    • Formal Analysis
      Fadli Adnin Nasution, Paham Ginting, Syafrizal Helmi Situmorang
    • Investigation
      Fadli Adnin Nasution, Paham Ginting, Syafrizal Helmi Situmorang
    • Methodology
      Fadli Adnin Nasution, Paham Ginting, Amlys Syahputra Silalahi, Syafrizal Helmi Situmorang
    • Project administration
      Fadli Adnin Nasution, Paham Ginting, Amlys Syahputra Silalahi, Syafrizal Helmi Situmorang
    • Validation
      Fadli Adnin Nasution, Paham Ginting, Syafrizal Helmi Situmorang
    • Visualization
      Fadli Adnin Nasution, Paham Ginting, Syafrizal Helmi Situmorang
    • Writing – original draft
      Fadli Adnin Nasution, Paham Ginting, Amlys Syahputra Silalahi, Syafrizal Helmi Situmorang
    • Writing – review & editing
      Fadli Adnin Nasution, Paham Ginting, Amlys Syahputra Silalahi, Syafrizal Helmi Situmorang
    • Supervision
      Paham Ginting, Amlys Syahputra Silalahi, Syafrizal Helmi Situmorang