CoChat
Sign Up
Cited by 300Technology Adoption and User BehaviourConsumer Behavior and Marketing InfluenceDigital Marketing and Social Media

The DOI matches its Crossref record; 134 of the 135 references it cites were found in a registry or an index.

Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce

Open access
Handoyo, Sofik·2024·Heliyon
DOI 10.1016/j.heliyon.2024.e29714PMC PMC11044045
Open this paper in CoChat — free account

Abstract

This comprehensive meta-analysis investigates the significant factors influencing consumer decision-making in e-commerce. Predominantly focusing on the parameters of trust, perceived risk, perceived security, and electronic word-of-mouth (e-WOM), this study provides insightful revelations on their integral roles in shaping e-commerce purchasing decisions. The findings demonstrate that trust, perceived risk, perceived security, and e-WOM significantly influence consumers' e-commerce purchasing decisions. Perceived Risk plays a substantial moderating role in the relationship between Trust and e-commerce purchasing decisions, amplifying the importance of managing and minimizing risk in online transactions to cultivate consumer trust. Contrastingly, the roles of Perceived Security and e-WOM do not hold the same moderating effect on the trust-purchasing decision nexus, underscoring the direct yet unmoderated influence these factors have on e-commerce purchasing behaviors. Furthermore, The research reveals no significant size effect difference among respondents from high-income and low-income countries or between general internet users and online shoppers concerning the impact of trust on e-commerce purchasing decisions. This intriguing finding suggests the universal importance of trust in the digital purchasing landscape, irrespective of socio-economic status or the degree of e-commerce engagement. This study thus sheds new light on the complexities of e-commerce decision-making processes. It offers valuable insights for businesses aiming to enhance consumer trust and engagement in the expanding digital marketplace.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.heliyon.2024.e29714

Cites

134 of 134 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Direct and moderating effect research framework.
Fig. 1 Direct and moderating effect research framework.CC BY-NC-ND · PubMed Central
Fig. 2 Comparative research framework.
Fig. 2 Comparative research framework.CC BY-NC-ND · PubMed Central
Fig. 3 Forest Plot of moderation perceived risk on trust.
Fig. 3 Forest Plot of moderation perceived risk on trust.CC BY-NC-ND · PubMed Central
Fig. .4 Forest Plot of Moderation Perceived security on trust.
Fig. .4 Forest Plot of Moderation Perceived security on trust.CC BY-NC-ND · PubMed Central
Fig. 5 Forest Plot of Moderation e-WOM on Trust.
Fig. 5 Forest Plot of Moderation e-WOM on Trust.CC BY-NC-ND · PubMed Central
Fig. 6 Forest Plot of Subgroup analysis of Internet users.
Fig. 6 Forest Plot of Subgroup analysis of Internet users.CC BY-NC-ND · PubMed Central
Fig. 7 Forest Plot of Subgroup analysis of online shoppers.
Fig. 7 Forest Plot of Subgroup analysis of online shoppers.CC BY-NC-ND · PubMed Central
Fig. 8 Forest Plot of subgroup analysis of high-income Country.
Fig. 8 Forest Plot of subgroup analysis of high-income Country.CC BY-NC-ND · PubMed Central
Fig. 9 Forest Plot of subgroup analysis of low-income Country.
Fig. 9 Forest Plot of subgroup analysis of low-income Country.CC BY-NC-ND · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 135 references

Research works printed but not linked: 5

  1. Amin, 2019, A study on impact of E-WOM (electronic word of mouth) on consumers' buying decision, International Journal of Advanced Research in Commerce, Management & Social Science, 2, 29
  2. Jasti, 2019, Leveraging the internet for grocery shopping: a study of factors influencing the Indian consumer, Int. J. Emerg. Technol., 10, 436
  3. Ngah, 2021, Exploring antecedents of online purchasing behavioral intention of generation z: an integrated model of four theories, Malaysian Journal of Consumer and Family Economics, 27, 1
  4. Taylor, 1974, The Role of Risk in Consumer Behavior:A comprehensive and operational theory of risk taking in consumer behavior, J. Market., 38, 54
  5. McKnight, 2002, The impact of initial consumer trust on intentions to transact with a web site: a trust building model, J. Strat. Inf. Syst., 11, 297, 10.1016/S0963-8687(02)00020-3 · DOI · Paper page

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Handoyo, S.
Affiliations
Padjadjaran University (ID)
Corresponding author
Handoyo, Sofik
ORCID
Handoyo, Sofik
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-04
Volume
10
Issue
8
Pages
e29714
ISSN
2405-8440 (ISSN-L)
DOI
10.1016/j.heliyon.2024.e29714
PMC
PMC11044045
OpenAlex
W4394844493
Cited by
133
References
135
Citations by year
2026: 73 · 2025: 50 · 2024: 10
FWCI
49.63
Type
journal article
Language
en
Open access
Licence
Locations
  • Heliyon (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
  • Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Keywords
consumer trust, risk perception, perceived security, electronic word of mouth, online shopping, moderating effect, cross-national comparison, income gap, online consumers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review