Information Transparency in Electronic Marketplaces: Why Data Transparency May Hinder the Adoption of B2B Exchanges
Abstract
The online B2B environment makes a vast amount of data about prices and costs available on the Internet, which tends to make information more transparent in electronic marketplaces. In this study, we focus on the informational effects of Internetbased B2B exchanges, and explore the incentives for buyers and suppliers to join a B2B exchange. We found that information disclosure rules crucially affect the firms' incentives. Data transparency benefits some firms but hurts others. We also found that low-cost suppliers and high-value buyers would be early adopters of the B2B exchange. In addition, B2B exchange owners should keep an appropriate balance between information transparency and data confidentiality so as to minimize the competitive risks while safeguarding the collaborative benefits of information transparency.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The framework is grounded in organizational research advocating that stimulating and maintaining trust between stakeholders and organizations requires transparency, the degree of visibility and accessibility of information.
“Our framework is grounded in organizational research advocating that stimulating and maintaining trust between stakeholders and organizations requires transparency-the degree of visibility and accessibility of information (Zhu, 2002).”
From The Consequences of Participating in the Sharing Economy: A Transparency-Based Sharing Framework (2021) · cites this paper as Zhu, 2002
Cites
The emerging role of electronic marketplaces on the Internet
Bakos, Y. (1998) · Communications of the ACM · doi:10.1145/280324.280330 · Cited by 1,386 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Perceived information transparency in B2C e-commerce: an empirical investigation.
Zhou, L., Wang, W., Xu, J. (., Liu, T., & Gu, J. (2018) · Information & Management · doi:10.1016/j.im.2018.04.005 · Cited by 233 · see citing works
The Consequences of Participating in the Sharing Economy: A Transparency-Based Sharing Framework
C. Köbis, N., Soraperra, I., & Shalvi, S. (2021) · Journal of Management · doi:10.1177/0149206320967740 · Cited by 129 · see citing works
- Authors
- Zhu, K.
- Corresponding author
- Zhu, Kevin
- ORCID
- Zhu, Kevin
- Venue
- Electronic Markets
- Publisher
- Informa UK Limited
- Published
- 2002-03-01
- Volume
- 12
- Issue
- 2
- Pages
- 92-99
- ISSN
- 1019-6781 (ISSN-L)
- 1422-8890
- OpenAlex
- W2088560181
- Cited by
- 132
- References
- 1
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 10 · 2020: 6 · 2019: 4 · 2018: 1 · 2017: 3 · 2016: 5 · 2015: 6 · 2014: 6 · 2013: 1 · 2012: 4
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronic Markets (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
- Social Sciences › Business, Management and Accounting › Business and International Management › E-commerce and Technology Innovations
- Keywords
- information transparency, electronic markets, data transparency, adoption incentives, early adopters, data confidentiality, competing risks, buyer-supplier relationships
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
