The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
On agent-mediated electronic commerce
Abstract
This paper surveys and analyzes the state of the art of agent-mediated electronic commerce (e-commerce), concentrating particularly on the business-to-consumer (B2C) and business-to-business (B2B) aspects. From the consumer buying behavior perspective, agents are being used in the following activities: need identification, product brokering, buyer coalition formation, merchant brokering, and negotiation. The roles of agents in B2B e-commerce are discussed through the business-to-business transaction model that identifies agents as being employed in partnership formation, brokering, and negotiation. Having identified the roles for agents in B2C and B2B e-commerce, some of the key underpinning technologies of this vision are highlighted. Finally, we conclude by discussing the future directions and potential impediments to the wide-scale adoption of agent-mediated e-commerce.
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.
Integrity signals
Registry
Cites
Statistics
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.
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
Austin, J. L. (1975) · doi:10.1093/acprof:oso/9780198245537.001.0001 · Cited by 21,496
COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS
Vickrey, W. (1961) · The Journal of Finance · doi:10.1111/j.1540-6261.1961.tb02789.x · Cited by 7,722
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
Self-citation
Cited by
Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior
Hostler, R. E., Yoon, V. Y., Guo, Z., Guimaraes, T., & Forgionne, G. (2011) · Information & Management · doi:10.1016/j.im.2011.08.002 · Cited by 117
Metadata
- Authors
- He, M., Jennings, N. R., & Leung, H.-F.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2003-07
- Volume
- 15
- Issue
- 4
- Pages
- 985-1003
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2159112521
- Cited by
- 389
- References
- 3
- FWCI
- 42.05
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
