Raw data CSV processed for use in smartPLS-Fintech India-customer predispositions-engagement-advocacy behaviour

The dataset contains raw data for perceived values for customer predispositions, CEBs, and customer advocacy collected from 380 FinTech app users in south India by administering a survey questionnaire. The dataset thus obtained was cleaned and processed for being used in smartPLS3. Structural Equation Modelling (SEM) using partial least squares (PLS) method was later applied to this dataset in smartPLS3 to test the theoretical model, assess the structural model, and understand the direct and indirect effects of the variables.

本数据集包含通过问卷调查方式采集自印度南部380名金融科技(FinTech)应用用户的原始数据，数据内容涵盖客户倾向(customer predispositions)、CEBs与客户倡导行为的感知价值。所获数据集已完成清洗与预处理，可用于smartPLS3软件分析。后续研究人员借助smartPLS3软件，基于该数据集采用偏最小二乘(partial least squares, PLS)方法开展结构方程模型(Structural Equation Modelling, SEM)分析，以检验理论模型、评估结构模型，并解析各变量的直接效应与间接效应。