EASY COME OR EASY GO? ONLINE SELLERS’ SWITCHING BEHAVIOUR IN RELATION TO COURIER SERVICES

This data was used to analyze the findings of the online sellers' switching intentions in relation to courier services using Smart-PLS software. This data containing the compilation of responses from the questionnaire was used as a data collection method in Excel form. The hypothesis of this study is to find out the relationship between variables such as service encounter, Internet of Things, attractiveness of alternatives, pleasure, and engagement against online sellers' switching intention. As a result, all of the hypotheses in this study were supported.

This data can be interpreted using Smart-PLS software, where Service Encounter (SE), Internet of Things (IOT), and Attractiveness of Alternatives (AA) are the stimulus, Pleasure (P) and Engagement (E) are the organisms, and Switching Intention (SI) is the response.

Data was gathered using Google Forms, where a link to an invitation was shared to online sellers' groups on social media.

For the profiling analysis, SPSS software was used. 262 valid responses were accepted.