Factors influencing the formation of consumer engagement and consumer satisfaction with e-learning activities

  • Received November 27, 2020;
    Accepted June 7, 2021;
    Published June 16, 2021
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.17(2).2021.13
  • Article Info
    Volume 17 2021, Issue #2, pp. 137-148
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This work is licensed under a Creative Commons Attribution 4.0 International License

The COVID-19 pandemic that plagued the world has resulted in many e-learning software that drove virtual learning activities to jump sharply and began to replace face-to-face meetings. This paper aims to find out the influence of digital readiness, technical and information quality, instructor quality, e-learning adoption and attitude on consumer engagement, and consumer satisfaction with e-learning performance. The study was conducted in the form of a quantitative survey at Duta Wacana Christian University in the Special Region of Yogyakarta, Indonesia, over the period from June 2020 to September 2020. The study sample using the purposive random sampling technique consisted of 175 students as respondents. Various statistical methods, including descriptive and structural equation modeling, were used to analyze the data and test the hypotheses of the model. Key findings were that there is a statistically direct impact of digital readiness, technical and information quality, e-learning adoption and attitude, and instructor quality on consumer engagement, and thus consumer engagement influences consumer satisfaction positively and significantly. With these results, tutorial activities need to be implemented for the use of popular e-learning software and related technological literacy, because the need for e-learning software will be even more massive in the future.

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    • Figure 1. Model framework
    • Figure 2. Model in AMOS graphics
    • Table 1. Goodness-of-fit criterion
    • Table 2. Gender composition
    • Table 3. Age of respondents
    • Table 4. Respondent occupation
    • Table 5. E-learning software
    • Table 6. Degree of software usefulness
    • Table 7. Goodness-of-fit results
    • Table 8. Relationship in the model
    • Conceptualization
      Singgih Santoso
    • Methodology
      Singgih Santoso
    • Project administration
      Singgih Santoso
    • Resources
      Singgih Santoso
    • Software
      Singgih Santoso
    • Writing – original draft
      Singgih Santoso
    • Writing – review & editing
      Singgih Santoso