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 Equati...

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1. Verfasser: Archana Nayak Kini
Format: Dataset
Sprache:eng
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Zusammenfassung: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.
DOI:10.17632/5j6csksgb4