The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Ambient Awareness and Knowledge Acquisition: Using Social Media to Learn “Who Knows What” and “Who Knows Whom”1
Abstract
The argument proffered in this paper is that use of enterprise social networking technologies can increase the accuracy of people’s metaknowledge (knowledge of “who knows what” and “who knows whom”) at work. The results of a quasi-natural field experiment in which only one of two matched-sample groups within a large financial services firm was given access to the enterprise social networking technology for six months revealed that by making people’s communications with specific partners visible to others in the organization, the technology enabled observers to become aware of the communications occurring amongst their coworkers and to make inferences about what and whom those coworkers knew based on the contents of the messages they sent and to whom they were sent. Consequently only individuals in the group that used the social networking technology for six months improved the accuracy of their metaknowledge (a 31% improvement in knowledge of who knows what and an 88% improvement in knowledge of who knows whom). There were no improvements in the other group over the same time period. Based on these findings, how technologically enabled “ambient awareness”—awareness of ambient communications occurring amongst others in the organization—can be an important antecedent for knowledge acquisition is discussed.
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
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Gioia, D. A., Mehra, A., & Weick, K. E. (1996) · The Academy of Management Review · doi:10.2307/259169 · Cited by 15,614
(2002) · Cited by 13,211
Microeconometrics: Methods and Applications
Cameron, A. C., & Trivedi, P. K. (2005) · doi:10.1017/cbo9780511811241 · Cited by 8,092
Wasko, M. M., & Faraj, S. (2005) · MIS Quarterly · doi:10.2307/25148667 · Cited by 3,904
Wasko, M. M., & Faraj, S. A. (2005) · Journal of the Association for Information Systems · doi:10.5555/2017245.2017249 · Cited by 3,530
Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation1
Kankanhalli, A., Tan, B. C. Y., & Wei, K.-K. (2005) · MIS Quarterly · doi:10.2307/25148670 · Cited by 2,805
Awareness and coordination in shared workspaces
Dourish, P., & Bellotti, V. (1992) · Proceedings of the 1992 ACM conference on Computer-supported cooperative work - CSCW '92 · doi:10.1145/143457.143468 · Cited by 2,550
A primer on decision making : how decisions happen
Heath, C., & March, J. G. (1994) · Medical Entomology and Zoology · Cited by 2,404
A Relational View of Information Seeking and Learning in Social Networks
Borgatti, S. P., & Cross, R. (2003) · Management Science · doi:10.1287/mnsc.49.4.432.14428 · Cited by 2,085
Cited by
Expanding Explainability: Towards Social Transparency in AI systems
Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445188 · Cited by 538
Virtual Work: Bridging Research Clusters
Raghuram, S., Hill, N. S., Gibbs, J. L., & Maruping, L. M. (2019) · Academy of Management Annals · doi:10.5465/annals.2017.0020 · Cited by 426
Cai, Z., Huang, Q., Liu, H., & Wang, X. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.09.001 · Cited by 283
Zhang, X., Xu, T., Wei, X., Tang, J., & Ordonez de Pablos, P. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-10-2022-0791 · Cited by 40
Social network sites: early adopters' personality and influence
Lynn, T., Muzellec, L., Caemmerer, B., & Turley, D. (2017) · Journal of Product & Brand Management · doi:10.1108/jpbm-10-2015-1025 · Cited by 38
Metadata
- Authors
- Leonardi, P. M.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2015-12-01
- Volume
- 39
- Issue
- 4
- Pages
- 747-762
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2224422582
- Cited by
- 379
- References
- 66
- FWCI
- 53.20
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ambient Awareness and Knowledge Acquisition: Using Social Media to Learn “Who Knows What” and “Who Knows Whom”1. https://app.cochat.ai/papers/10.25300/misq/2015/39.4.1
- The paper
- Leonardi, P. M. (2015). Ambient Awareness and Knowledge Acquisition: Using Social Media to Learn “Who Knows What” and “Who Knows Whom”1. MIS Quarterly. https://doi.org/10.25300/misq/2015/39.4.1
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.
