• Title/Summary/Keyword: GeSCA Method

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The E-Servqual Effect on the Stickiness Intention of Marketplace During COVID-19 Pandemic: An Empirical Study in Indonesia

  • KUSUMAWATI, Andriani;AUGUSTINAH, Fedianty;ALHABSYI, Taher;SUHARYONO, Suharyono
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.573-581
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    • 2021
  • This paper examines the effect of e-service quality on the users of the Facebook marketplace. Users can always have stickiness intention. Stickiness intention is regarded as repetitive visits to and use of a certain website because of a commitment to continue using that website. Hence, we examine and explain the influence of e-service quality variables on stickiness intention. The variables used for e-service quality include efficiency, fulfillment, system availability, and privacy. The researchers related stickiness intention variable to online media users who always use the Facebook marketplace longer than other marketplaces, and users who visit the Facebook marketplace more often than other marketplaces. The method of data analysis was using inferential statistics GeSCA method. The GeSCA method is a Structural Equation Modeling (SEM) technique that can directly analyze latent variables, indicators, and measurement errors. The results of the GeSCA method before the COVID-19 pandemic states that an increase in e-service quality by 77.5% will increase stickiness intention by 61.2%. The results of the GeSCA method after the COVID-19 pandemic states that an increase in e-service quality by 85.2% would increase stickiness intention by 81.1%. This indicates that Facebook marketplace users had more stickiness intention for the Facebook marketplace.