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A New E-Commerce Research Record Connects Social Influence, Purchase Intention and Privacy Concern

The available evidence is bibliographic only, so merchants should treat the topic as a planning prompt rather than proof that social influence changes conversion behavior.

Ecomwith EditorialEcommerce intelligence desk

Published
Updated
Risk
low

Reported details

What happened

A research record titled “Social Influence and Purchase Intention in E-Commerce: The Moderating Role of Privacy Concern” was published in 2026 in the Journal of Logistics, Informatics and Service Science.

The record carries DOI 10.33168/jliss.2026.0913 and OpenAlex ID W7204924929.

The supplied evidence identifies the item as a research source, but provides no authors, abstract, body text, quotation, sample, method, or result.

Publication status is unknown, so the record should not be described as peer-reviewed, a preprint, or a working paper.

Business relevance

Why it matters

The title brings together two practical commerce questions: how social signals may relate to purchase intention and how privacy concern may affect that relationship.

Because the evidence does not report findings, merchants cannot infer that reviews, creator content, referrals, or other social cues will increase conversion for a particular audience.

The topic still supports a cautious review of whether social-proof tactics are transparent, proportionate, and aligned with customer expectations about data use.

Editorial perspective

Analysis & judgment

  1. The useful commercial implication is not a new conversion benchmark; it is a reminder that social influence and privacy expectations may need to be considered together when evaluating merchandising or acquisition workflows.

  2. If a seller uses customer reviews, referral prompts, creator content, or personalization, the relevant question is whether the tactic creates confidence without making customers uncertain about tracking, targeting, or consent.

  3. No implementation change is justified by this record alone because the available claim is bibliographic and does not establish a causal effect, a segment difference, or a tested privacy intervention.

Applicability

Seller impact

Sellers using social-proof features may want to assess whether their presentation explains the source and purpose of customer content clearly, particularly where personalization or behavioral data is involved.

Teams should avoid treating the article title as evidence that privacy concern moderates purchase behavior in their own store; any commercial decision should depend on first-party analytics, customer feedback, and applicable privacy requirements.

The record may be useful for research backlogs covering trust, social proof, consent, and conversion, but it does not supply a performance target or an immediately validated tactic.

Action plan

What to do now

  1. 1

    Audit social-proof and privacy language

    now

    Review review widgets, referral prompts, creator disclosures, personalization notices, and consent flows for clarity. Make changes only where the current customer-facing explanation is incomplete or inconsistent with your documented data practices.

  2. 2

    Separate trust testing from privacy testing

    this-week

    If experimentation is planned, define distinct measures for social-proof engagement, purchase progression, customer trust signals, and privacy-related feedback rather than assuming one metric explains the others.

  3. 3

    Track the research record

    monitor

    Monitor DOI 10.33168/jliss.2026.0913 and OpenAlex ID W7204924929 for additional bibliographic information or a verifiable publication status before using the work to support a stronger commerce claim.

What not to do yet

  • Do not cite this record as evidence that social influence increases purchase intention, that privacy concern changes conversion, or that a specific social-proof tactic is effective.

Sources & context

Evidence and sources

A source may provide only a headline or summary. Read the evidence scope below. Links and workflow checks are not independent fact verification. Internal confidence values are workflow signals, not probabilities of factual correctness.

  1. 01

    Social Influence and Purchase Intention in E-Commerce: The Moderating Role of Privacy Concern — unknown — Journal of Logistics, Informatics and Service Science

    OpenAlex Ecommerce Research Discovery · Workflow status: single-source

    Source link

    Retrieved: September 3, 2026 at 04:17 a.m. UTC

    Bibliographic metadata only; no body, abstract, quotation, or PDF is retained.

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