The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research
Abstract
Social media are fundamentally changing the way we communicate, collaborate, consume, and create. They represent one of the most transformative impacts of information technology on business, both within and outside firm boundaries. This special issue was designed to stimulate innovative investigations of the relationship between social media and business transformation. In this paper we outline a broad research agenda for understanding the relationships among social media, business, and society. We place the papers comprising the special issue within this research framework and identify areas where further research is needed. We hope that the flexible framework we outline will help guide future research and develop a cumulative research tradition in this area.
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
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
Running experiments on Amazon Mechanical Turk
Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500002205 · Cited by 3,767
Predicting the future with social media
Asur, S., & Huberman, B. A. (2010) · 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology · doi:10.1109/wi-iat.2010.63 · Cited by 2,081
Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix
Chen, Y., & Xie, J. (2008) · Management Science · doi:10.1287/mnsc.1070.0810 · Cited by 1,810
Two-Sided Network Effects: A Theory of Information Product Design
Parker, G. G., & Van Alstyne, M. W. (2005) · Management Science · doi:10.1287/mnsc.1050.0400 · Cited by 1,700
Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue
Liu, Y. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.3.74 · Cited by 1,588
Platform Leadership How Intel, Microsoft, and Cisco Drive Industry Innovation
Gawer, A., & Cusumano, M. A. (2002) · Cited by 1,484
Cited by
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788
Sokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650
Li, F., Larimo, J., & Leonidou, L. C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00733-3 · Cited by 996
Risius, M., & Spohrer, K. (2017) · Business & Information Systems Engineering · doi:10.1007/s12599-017-0506-0 · Cited by 803
Social media analytics – Challenges in topic discovery, data collection, and data preparation
Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.002 · Cited by 803
Metadata
- Authors
- Aral, S., Dellarocas, C., & Godes, D.
- Venue
- Information Systems Research
- Published
- 2013-03
- Volume
- 24
- Issue
- 1
- Pages
- 3-13
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2017222387
- Cited by
- 784
- References
- 63
- 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: Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research. https://app.cochat.ai/papers/10.1287/isre.1120.0470
- The paper
- Aral, S., Dellarocas, C., & Godes, D. (2013). Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research. Information Systems Research. https://doi.org/10.1287/isre.1120.0470
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.
