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Version 3

From Stream to Purchase: Exploring Parasocial Interaction and Social Presence as Mediators of Impulsive Purchase in TikTok Live Commerce

Published:2 March 2026|Version 3|DOI:10.17632/c5mk3gc473.3
Contributors:Istia Hadiyati,

Description

This dataset contains primary survey data investigating the drivers of impulsive purchase behavior in TikTok Live Commerce in Indonesia. Data were collected from 415 respondents using a structured questionnaire with a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). The variables include Social Attraction, FOMO, Narrative Involvement, Telepresence, Parasocial Interaction, Social Presence, and Impulsive Purchase. All data have been anonymized and are provided to support transparency, replicability, and further quantitative analysis in the field of digital consumer behavior.

Steps to reproduce

Data Preparation: Import the dataset file into SmartPLS 4.0. Measurement Model Assessment: Verify internal consistency (Cronbach's alpha and Composite Reliability), convergent validity (AVE), and discriminant validity. Structural Model Assessment: Run the bootstrapping procedure with 5000 resamples to test the path coefficients and mediation hypotheses.

Categories

e-Commerce, Social Media, Media Psychology, Consumer Marketing, Digital Communication, Live Streaming

Licence

Creative Commons Attribution 4.0 International

Version 4

From Stream to Purchase: Exploring Parasocial Interaction and Social Presence as Mediators of Impulsive Purchase in TikTok Live Commerce

Published:7 April 2026|Version 4|DOI:10.17632/c5mk3gc473.4
Contributors:Istia Hadiyati,

Description

This dataset contains primary survey data investigating the drivers of impulsive purchase behavior in TikTok Live Commerce in Indonesia. Data were collected from 415 respondents using a structured questionnaire with a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). The variables include Social Attraction, FOMO, Narrative Involvement, Telepresence, Parasocial Interaction, Social Presence, and Impulsive Purchase. All data have been anonymized and are provided to support transparency, replicability, and further quantitative analysis in the field of digital consumer behavior.

Steps to reproduce

Data Preparation: Import the dataset file into SmartPLS 4.0. Measurement Model Assessment: Verify internal consistency (Cronbach's alpha and Composite Reliability), convergent validity (AVE), and discriminant validity. Structural Model Assessment: Run the bootstrapping procedure with 5000 resamples to test the path coefficients and mediation hypotheses.

Categories

e-Commerce, Social Media, Media Psychology, Consumer Marketing, Digital Communication, Live Streaming

Licence

Creative Commons Attribution 4.0 International