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.

本数据集借助Smart-PLS软件，针对电商卖家更换快递服务商的意向展开分析。本数据集以Excel格式收纳问卷调研的全部应答汇总结果，作为本次研究的数据采集载体。本研究的核心假设为探究服务接触（Service Encounter, SE）、物联网（Internet of Things, IOT）、替代方案吸引力（Attractiveness of Alternatives, AA）、愉悦感（Pleasure, P）与参与度（Engagement, E）等变量与电商卖家转换意向之间的关联关系。最终，本研究的全部假设均得到实证支持。

本数据集可通过Smart-PLS软件开展模型解读：其中服务接触（SE）、物联网（IOT）与替代方案吸引力（AA）作为刺激变量，愉悦感（P）与参与度（E）作为机体中介变量，转换意向（Switching Intention, SI）作为结果因变量。

本研究数据通过Google Forms问卷平台采集，调研邀请链接被分发至社交媒体平台的电商卖家社群中。

针对样本特征分析环节，本研究采用SPSS软件完成数据处理，最终纳入262份有效应答数据。