The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Customer Satisfaction, Analyst Stock Recommendations, and Firm Value
Abstract
Although managers are interested in the financial value of customers and researchers have pointed out the importance of stock analysts who advise investors, no studies to date have explored the implications of customer satisfaction for analyst stock recommendations. Using a large-scale longitudinal data set, the authors find that positive changes in customer satisfaction not only improve analyst recommendations but also lower dispersion in those recommendations for the firm. These effects are stronger when product market competition is high and financial market uncertainty is large. In addition, analyst recommendations at least partially mediate the effects of changes in satisfaction on firm abnormal return, systematic risk, and idiosyncratic risk. Analyst recommendations represent a mechanism through which customer satisfaction affects firm value. Thus, if analysts pay attention to Main Street customer satisfaction, Wall Street investors should have good reason to listen and follow. Overall, this research reveals the impact of satisfaction on analyst-based outcomes and firm value metrics and calls attention to the construct of customer satisfaction as a key intangible asset for the investor community.
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Cites
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
Luo, X., & Bhattacharya, C. B. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.6.198 · Cited by 962
Self-citationGupta, S., Lehmann, D. R., & Stuart, J. A. (2004) · Journal of Marketing Research · doi:10.1509/jmkr.41.1.7.25084 · Cited by 849
Cited by
Kumar, V., Pozza, I. D., & Ganesh, J. (2013) · Journal of Retailing · doi:10.1016/j.jretai.2013.02.001 · Cited by 517
The fluent online shopping experience.
Mosteller, J., Donthu, N., & Eroglu, S. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.03.009 · Cited by 230
Gaudenzi, B., Confente, I., & Russo, I. (2020) · The TQM Journal · doi:10.1108/tqm-04-2020-0088 · Cited by 53
Harnessing aspect-based sentiment analysis: How are tweets associated with forecast accuracy?
The Australian National University, A., Ho, S. Y., Choi, K. W. (., The Australian National University, A., Yang, F. (., & The Australian National University, A. (2019) · Journal of the Association for Information Systems · doi:10.17705/1jais.00564 · Cited by 21
(2012) · Digital Eprints Services at ISB (DESI) (Indian School of Business) · Cited by 1
Metadata
- Authors
- Luo, X., Homburg, C., & Wieseke, J.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2010-12
- Volume
- 47
- Issue
- 6
- Pages
- 1041-1058
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2167721376
- Cited by
- 210
- References
- 3
- FWCI
- 27.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Luo, X., Homburg, C., & Wieseke, J. (2010). Customer Satisfaction, Analyst Stock Recommendations, and Firm Value. Journal of Marketing Research. https://doi.org/10.1509/jmkr.47.6.1041
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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.