Cited by 48Technology Adoption and User BehaviourConsumer Behavior and Marketing InfluenceDigital Marketing and Social Media

THE IMPACT OF COGNITIVE TRUST AND E-WOM ON PURCHASE INTENTION IN C2C E-COMMERCE SITE

Open access
Alfina, Ika, Ero, Joni, Hidayanto, Achmad Nizar, Shihab, Muhammad Rifki·2014·Journal of Computer Science

Abstract

In the last few years, the number of Internet users in Indonesia was growing rapidly as many people started to use e-commerce sites. Utilization of C2C e-commerce in particular has a risk that may reduce people interest in online shopping. Of the many factors that may influence online shopping intention, trust becomes the key. This study built a model to explain the purchase intention in the C2C e-commerce environment. In the model, buyer's trust to the seller is a major factor that influences the purchase intention. Cognitive trust and adoption of e-WOM information is used as a factor that explains how trust is formed. We tested the model by distributing online questionnaires in Kaskus forum, the largest online shopping community in Indonesia. Total 114 valid questionnaire responses were used for analysis. The analysis was conducted using PLS and Smart PLS 2.0 as the tools. Our results showed that trust have a positive and significant effect to the purchase intention. Later it was found that two cognitive trust variables, the perception of ability and integrity of the seller, along with the adoption of e-WOM information have a positive and significant impact on the trust to the seller.

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 · 10.3844/jcssp.2014.2518.2524

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Seller characteristics influence trusting beliefs.

    “Four studies measured different seller characteristics that influence trusting beliefs (Alfina et al., 2014;Chen, Lou, et al., 2015;Malinen & Ojala, 2013;Teubner et al., 2015).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Alfina et al., 2014

    The Discussion reports that seller ability and integrity significantly influence consumers’ trust, while benevolence does not. However, the Research Conceptual Model distinguishes cognitive trust (beliefs about ability, benevolence and integrity) from the trusting attitude those beliefs influence. The paper therefore supports an effect on trust, but not the claim that seller characteristics influence trusting beliefs as a separate measured outcome. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • A seller's perceived social capital, ability, and integrity have a significant impact on the feeling of trust towards the seller.

    “Also, a seller's perceived social capital, ability, and integrity are attributes that have a significant impact on the feeling of trust towards the seller (Alfina et al., 2014;Chen, Lou, et al., 2015).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Alfina et al., 2014

    The Discussion reports that sellers’ ability and integrity have a positive, significant impact on trust in the seller. It does not identify perceived social capital as a tested attribute or report a significant effect for it; the claim is therefore supported only in part. No page number is available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Information on the forums of C2C platforms is an important source of information and contributes to buyers' trust building.

    “Next, the information on the forums of C2C platforms is an important source of information and contributes to buyers' trust building (Alfina et al., 2014).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Alfina et al., 2014

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 14

  1. REFERENCES Bhattacherjee, A. and C. Sanford, 2006. Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30: 805-825.
  2. Chin, W.W., 1998. The Partial Least Squares Approach for Structural Equation Modeling. In: Modern Methods for Business Research, Marcoulides, G.A. (Ed.)., Erlbaum, Mahwah, pp: 295-358.
  3. Di, C. and W. Luwen, 2012. Factors affecting e-WOM adoption. Unpublished bachelor thesis, Hong Kong: Hong Kong Baptist University.
  4. Hair, J.F.J., J.S. Bolesa and M.W. Johnstonb, 2008. Role stress, work-family conflict and emotional exhaustion: Inter-relationships and effects on some work-related consequences. J. Personal Sell. Sales Manag. 17: 17-28. DOI: 10.1080/08853134.1997.10754079 · DOI
  5. Hidayanto, A.N., H. Saifulhaq and P.W. Handayani, 2012. Do Consumers Really Care on Risks in Online Shopping? An Analysis from Indonesian Online Consumers. In proceedings of IEEE 6th International Conference on Management of Innovation and Technology, Bali.
  6. Hidayanto, A.N., I.N. Razaad, M.R. Shihab and Z.A. Hasibuan, 2014. Corporate blog usage and its success factors: multiple case studies at consulting firms in Indonesia. Int. J. Innov. and Learn., 16: 253-276. DOI: 10.1504/IJIL.2014.064729 · DOI
  7. Kim, E. and S. Tadisina, 2003. Customer's initial trust in e-business: How to measure customer's initial trust. Proceedings of the 9th Americas Conference on Information Systems, Aug. 4-6, AMCIS, Tampa, FL, USA, pp: 35-41.
  8. Komiak, S.Y.X. and I. Benbasat, 2006. The effects of personalizaion and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30: 941-960.
  9. McKnight, D.H., V. Choudhury and C. Kacmar, 2002. The impact of initial consumer trust on intentions to transact with a web site: A trust building model. J. Strat. Inform. Syst., 11: 297-323. DOI: 10.1016/S0963-8687(02)00020-3 · DOI · Paper page
  10. Mukherjee, A. and P. Nath, 2003. A model of trust in online relationship banking. Int. J. Bank Market., 2: 5-15. DOI: 10.1108/02652320310457767 · DOI
  11. Rainer, R.K. and E. Turban, 2002. Introduction to information technology. Canada: John Wiley Sons.
  12. Sussman, S.W. and W.S. Siegal, 2003. Informational influence in organizations: An integrated approach to knowledge adoption. Inform. Syst. Res., 14: 47- 65. DOI: 10.1287/isre.14.1.47.14767 · DOI
  13. Utz, S., P. Kerkhof and J.V.D. Bos, 2012. Consumers rule: How consumer reviews influence perceived trustworthiness of online stores. Elect. Comm. Res. Applic., 11: 49-58. DOI: 10.1016/j.elerap.2011.07.010 · DOI
  14. Zhang, K.Z.K., M.K.O. Lee, C.M.K. Cheung, A.X.L. Shen and X.L. Jin et al., 2010. Exploring the moderating effect of information inconsistency in a trust-based online shopping model. Proceedings of the 43rd Hawaii International Conference on System Sciences, Jan. 5-8, IEEE Xplore Press, Honolulu, HI, pp: 1-9. DOI: 10.1109/HICSS.2010.202 · DOI

Cited by

Sorted by citations

Authors
Alfina, I., Ero, J., Hidayanto, A. N., & Shihab, M. R.
Affiliations
University of Indonesia (ID)
Venue
Journal of Computer Science
Published
2014-12-01
Volume
10
Issue
12
Pages
2518-2524
ISSN
1549-3636 (ISSN-L)
OpenAlex
W85031404
Cited by
48
References
7
Citations by year
2026: 2 · 2025: 4 · 2024: 5 · 2023: 14 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 4 · 2018: 2 · 2017: 6
FWCI
3.48
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Journal of Computer Science (publishedVersion, cc-by)
Funders
Universitas Indonesia
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 › Sociology and Political Science › Digital Marketing and Social Media
Keywords
cognitive trust, electronic word of mouth, purchase intention, C2C e-commerce, online shopping, seller trust

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