<p>Technological advancements, particularly in the field of education, are influencing the future course of education and the process of acquiring knowledge. Prior studies have investigated the implementation of education technology (edtech), but has paid little attention on continuous intention of using it. This research broadens the application of the expectancy confirmation model with edtech platforms features and positive word of mouth (WOM) along with investigates perceived usefulness (PU) derived by users from ed-tech platforms services that can affect the level of satisfaction and to check whether this satisfaction influences continuous intention and WOM. The study also investigates whether this satisfaction influences their intention to continue using the platform and their likelihood to recommend it to others. Purposeful sampling is employed to acquire data from respondents. The initial number of respondents was 610. However, respondents who had no prior experience with the platforms or had provided inadequate data were eliminated. Therefore, a total of 559 relevant respondents were included in the study. The data were analysed using SmartPLS version 4. The study’s findings suggest that user satisfaction, as measured by the perceived usefulness of platforms, has a favourable impact on both the user’s intention to continue using the platform and their likelihood to engage in positive word-of-mouth communication about edtech platforms.</p>

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Examining the role of the expectancy confirmation model in sustaining user intention on educational Technology platforms

  • Manpreet Kaur Riyat,
  • Amit Kakkar

摘要

Technological advancements, particularly in the field of education, are influencing the future course of education and the process of acquiring knowledge. Prior studies have investigated the implementation of education technology (edtech), but has paid little attention on continuous intention of using it. This research broadens the application of the expectancy confirmation model with edtech platforms features and positive word of mouth (WOM) along with investigates perceived usefulness (PU) derived by users from ed-tech platforms services that can affect the level of satisfaction and to check whether this satisfaction influences continuous intention and WOM. The study also investigates whether this satisfaction influences their intention to continue using the platform and their likelihood to recommend it to others. Purposeful sampling is employed to acquire data from respondents. The initial number of respondents was 610. However, respondents who had no prior experience with the platforms or had provided inadequate data were eliminated. Therefore, a total of 559 relevant respondents were included in the study. The data were analysed using SmartPLS version 4. The study’s findings suggest that user satisfaction, as measured by the perceived usefulness of platforms, has a favourable impact on both the user’s intention to continue using the platform and their likelihood to engage in positive word-of-mouth communication about edtech platforms.