The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Social Media and Firm Equity Value
Open accessAbstract
Companies have increasingly advocated social media technologies to transform businesses and improve organizational performance. This study scrutinizes the predictive relationships between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships. The results derived from vector autoregressive models suggest that social media-based metrics (Web blogs and consumer ratings) are significant leading indicators of firm equity value. Interestingly, conventional online behavioral metrics (Google searches and Web traffic) are found to have a significant yet substantially weaker predictive relationship with firm equity value than social media metrics. We also find that social media has a faster predictive value, i.e., shorter “wear-in” time, than conventional online media. These findings are robust to a consistent set of volume-based measures (total blog posts, rating volume, total page views, and search intensity). Collectively, this study proffers new insights for senior executives with respect to firm equity valuations and the transformative power of social media.
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Cites
Common risk factors in the returns on stocks and bonds
Fama, E. F., & French, K. R. (1993) · Journal of Financial Economics · doi:10.1016/0304-405x(93)90023-5 · Cited by 25,754
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283
Efficient capital markets: A review of theory and empirical work
Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635
Healy, P. M., & Palepu, K. G. (2001) · Journal of Accounting and Economics · doi:10.1016/s0165-4101(01)00018-0 · Cited by 8,097
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
Giving content to investor sentiment: The role of media in the stock market
TETLOCK, P. C. (2007) · The Journal of Finance · doi:10.1111/j.1540-6261.2007.01232.x · Cited by 4,827
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Identifying influential and susceptible members of social networks
Aral, S., & Walker, D. (2012) · Science · doi:10.1126/science.1215842 · Cited by 1,047
Cited by
Advances in Social Media Research: Past, Present and Future
Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018) · Information Systems Frontiers · doi:10.1007/s10796-017-9810-y · Cited by 1,285
Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
Lee, D., Hosanagar, K., & Nair, H. S. (2018) · Management Science · doi:10.1287/mnsc.2017.2902 · Cited by 1,069
Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research
Aral, S., Dellarocas, C., & Godes, D. (2013) · Information Systems Research · doi:10.1287/isre.1120.0470 · Cited by 784
Wang, Z., & Kim, H. G. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.02.004 · Cited by 447
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis
Mai, F., Shan, Z., Bai, Q., Wang, X. (., & Chiang, R. H. L. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1440774 · Cited by 389
Metadata
- Authors
- Luo, X., Zhang, J., & Duan, W.
- Venue
- Information Systems Research
- Published
- 2013-03
- Volume
- 24
- Issue
- 1
- Pages
- 146-163
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W3121806563
- Cited by
- 627
- References
- 12
- FWCI
- 99.39
- Type
- journal article
- Language
- en
- Open access
- green
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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.
