The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Firm Value Creation through Major Channel Expansions: Evidence from an Event Study in the United States, Germany, and China
Open accessAbstract
Although changes to the channel system are among a firm's most critical decisions, prior research has neglected to examine the impact of channel expansions on firm value. This article investigates whether a firm's announcement of an increase in distribution intensity or the establishment of a new channel influences firm value. The authors also consider the moderating role of context-specific firm, market, and channel strategy contingencies. They test their hypotheses with an event study of 240 announcements of major channel expansions in the United States, Germany, and China. The results indicate that channel expansions affect firm value (i.e., through abnormal stock returns). However, the two types of channel expansions affect firm value differently. Whereas the establishment of a new channel positively influences firm value, reactions to an increase in distribution intensity are highly contingent. For example, firms operating in exceedingly turbulent or competitive markets experience firm value reductions in response to an increase in distribution intensity. Notably, the same two environmental contingencies enhance firm value when the firm establishes a new channel.
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
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
A Caution Regarding Rules of Thumb for Variance Inflation Factors
O’brien, R. M. (2007) · Quality & Quantity · doi:10.1007/s11135-006-9018-6 · Cited by 11,217
A Simple Test for Heteroscedasticity and Random Coefficient Variation
Breusch, T. S., & Pagan, A. R. (1979) · Econometrica · doi:10.2307/1911963 · Cited by 5,647
Answering the Call for a Standard Reliability Measure for Coding Data
Hayes, A. F., & Krippendorff, K. (2007) · Communication Methods and Measures · doi:10.1080/19312450709336664 · Cited by 4,225
The Role of Market Forces in Assuring Contractual Performance
Klein, B., & Leffler, K. B. (1981) · Journal of Political Economy · doi:10.1086/260996 · Cited by 3,653
Kirca, A. H., Jayachandran, S., & Bearden, W. O. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.2.24.60761 · Cited by 2,182
A systematic assessment of the empirical support for transaction cost economics
David, R. J., & Han, S. (2004) · Strategic Management Journal · doi:10.1002/smj.359 · Cited by 1,127
Bergen, M., Dutta, S., & Walker, O. C. (1992) · Journal of Marketing · doi:10.1177/002224299205600301 · Cited by 1,105
Luo, X., & Bhattacharya, C. B. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.6.198 · Cited by 962
Brynjolfsson, E., Hu, Y. (., & Simester, D. (2011) · Management Science · doi:10.1287/mnsc.1110.1371 · Cited by 847
Cited by
Data Privacy: Effects on Customer and Firm Performance
Martin, K. D., Borah, A., & Palmatier, R. W. (2017) · Journal of Marketing · doi:10.1509/jm.15.0497 · Cited by 786
The omni-channel approach: A utopia for companies?
Hajdas, M., Radomska, J., & Silva, S. C. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102131 · Cited by 111
As the wheel turns toward the future of retailing
Babin, B. J., Feng, C., & Borges, A. (2021) · Journal of Marketing Theory and Practice · doi:10.1080/10696679.2020.1860688 · Cited by 48
Gao, P., Li, Y., Liu, W., Yuan, C., Lee, P. T. W., & Long, S. (2024) · Industrial Management & Data Systems · doi:10.1108/imds-08-2023-0541 · Cited by 13
Metadata
- Authors
- Homburg, C., Vollmayr, J., & Hahn, A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2014-05
- Volume
- 78
- Issue
- 3
- Pages
- 38-61
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2123837594
- Cited by
- 189
- References
- 11
- FWCI
- 26.76
- Type
- journal article
- Language
- en
- Open access
- green
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: Firm Value Creation through Major Channel Expansions: Evidence from an Event Study in the United States, Germany, and China. https://app.cochat.ai/papers/10.1509/jm.12.0179
- The paper
- Homburg, C., Vollmayr, J., & Hahn, A. (2014). Firm Value Creation through Major Channel Expansions: Evidence from an Event Study in the United States, Germany, and China. Journal of Marketing. https://doi.org/10.1509/jm.12.0179
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.
