Purchase Intention Dataset Based on AI Social Commerce, Influencer Marketing and FoMO

This dataset contains responses collected for a study examining the influence of Artificial Intelligence (AI) Social commerce, influencer marketing, and Fear of Missing Out (FoMO) on fashion purchase intention. The data were gathered from [insert number] participants using a structured online questionnaire with Likert scale items.

Two analytical tools were used: SmartPLS 4.0 for Partial Least Squares Structural Equation Modeling (PLS-SEM), and RapidMiner for decision tree classification. Variables include AI-driven commerce factors, influencer credibility, FoMO dimensions (emotional response, peer influence, etc.), and consumer purchase intention.

This dataset can be valuable for researchers studying digital marketing, AI in Social commerce, Marketing strategy like Influencer marketing, consumer behavior, and psychological factors like FoMO.

本数据集收录了一项研究的调研数据，该研究旨在探究人工智能（Artificial Intelligence, AI）社交商务（Social commerce）、网红营销（influencer marketing）以及错失恐惧（Fear of Missing Out, FoMO）对时尚购买意向的影响。研究数据通过采用带有李克特量表题项的结构化在线问卷，从[插入样本量]名受访者处采集获得。

本研究采用两类分析工具：使用SmartPLS 4.0开展偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modeling, PLS-SEM）分析，使用RapidMiner开展决策树分类（decision tree classification）分析。研究变量涵盖AI驱动型商务影响因素、网红可信度、错失恐惧维度（如情感反应、同辈影响等）以及消费者购买意向。

本数据集可供研究数字营销、社交商务中的人工智能应用、诸如网红营销类的营销策略、消费者行为以及错失恐惧等心理因素的科研人员参考使用。