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J·BJon BishopIndependent growth marketer

Customer behavior and adoption · Empirical questionnaire study using mediation/model testing of live-commerce features, flow, social presence, and purchase intention.

An Empirical Study on the Impact of E-Commerce Live Features on Consumers’ Purchase Intention: From the Perspective of Flow Experience and Social Presence

Carolina Susilo, others (2021). An Empirical Study on the Impact of E-Commerce Live Features on Consumers’ Purchase Intention: From the Perspective of Flow Experience and Social Presence. Information. https://doi.org/10.3390/info12080324.

Plain-English take

Live features are examined as antecedents of flow experience and social presence, which are linked to purchase intention. For your marketing: Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.

How much weight to give this

2.5/5 Evidence needs cautious interpretation

The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.

Design · 1/2

Empirical questionnaire study using mediation/model testing of live-commerce features, flow, social presence, and purchase intention.

Sample · 0.5/1

Consumers/users of e-commerce live streams; live-shopping context.

Comparison · 0.5/1

Judged from the publisher-described design and comparison; consult the paper for complete analysis.

Can we check it? · 0.5/1

Publisher page and abstract were retrieved directly; full text was not assumed open.

Double-blind? Blinding was not established from the retrieved publisher record.

Research question

What the authors investigated

How do e-commerce live features influence purchase intention through flow and social presence?

Design

Empirical questionnaire study using mediation/model testing of live-commerce features, flow, social presence, and purchase intention.

Sample and setting

Consumers/users of e-commerce live streams; live-shopping context.

Reported result

What the study found

Live features are examined as antecedents of flow experience and social presence, which are linked to purchase intention.

This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.

Scope and transfer

Limitations to keep in view

Cross-sectional self-report purchase intention is not observed purchasing; platform and cultural context constrain generalization.

Possible founder application

Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.

Evidence access

Publisher record and abstract retrieved; consult the linked paper for full methods and tables.

MDPI publisher page identifies the article as an empirical study and states the flow-experience/social-presence perspective and purchase-intention outcome. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses publisher metadata/abstract and does not claim independent review of unavailable full text.

If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.

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