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Erschienen in: Journal of the Academy of Marketing Science 1/2017

15.02.2016 | Original Empirical Research

Firm capabilities and growth: the moderating role of market conditions

verfasst von: Hui Feng, Neil A. Morgan, Lopo L. Rego

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 1/2017

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Abstract

Using a contingency theory lens, this study explores the impact of multiple firm-level capabilities and their interactions on firm growth under different market conditions, using panel data from 612 U.S. public firms across 16 years in 60 industries. Specifically, this study empirically examines how three key firm capabilities (marketing, R&D, operations) interact to impact firms’ revenue growth and profit growth over time, and how external boundary conditions (market munificence and competitive dynamism) influence the interactive growth effects of these capabilities. The results indicate that firms’ R&D (operations) capabilities positively (negatively) influence the effects of marketing capabilities on firm growth and that such effects vary across different market conditions. This study provides insights to researchers and managers regarding how to manage and deploy resources across multiple capabilities simultaneously under different market conditions to drive firm growth.

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Fußnoten
1
We tested our models on revenue and profit levels as well as growth and found a similar pattern of results. However, as the focus of this paper is on firm growth, we do not include these additional results in the paper.
 
2
Such reductions in the number of observations are common when several secondary sources are merged. However, excluding these 388 firms due to missing data, etc. does not affect the generalizability of our sample. A two-sample mean difference t-test shows that the missing firms are not statistically different from the remaining sample in terms of total assets, number of employees, firm age, ROA, and sales volume. Moreover, a two-stage Heckman sample selection model further confirms that there is no selection bias in our sample due to missing data.
 
3
We used labor costs and capital costs where both data were available; where labor costs were not available, we used capital costs only. The correlations between the measures including/not including labor costs is 0.91.
 
4
COGS stands for costs of goods sold. Our findings are robust to alternative profit metric specifications, including versions based on income (COMPUSTAT items NI or IB), earnings (COMPUSTAT items EBIT or EBITDA), and operating income (COMPUSTAT item OIBDP).
 
5
In addition to the multiple firm and industry controls included, we also controlled for competitors’ marketing, R&D, and operations capabilities directly, in alternative model specifications. Substantively, the findings remained unchanged. For the purpose of parsimony, we opted to not include these additional estimates with the findings reported.
 
6
The estimates we report are also consistent with those observed in less robust “levels-levels” models.
 
7
In Fig. 1, dimmed and dashed lines represent non-significant slopes/effects.
 
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Metadaten
Titel
Firm capabilities and growth: the moderating role of market conditions
verfasst von
Hui Feng
Neil A. Morgan
Lopo L. Rego
Publikationsdatum
15.02.2016
Verlag
Springer US
Erschienen in
Journal of the Academy of Marketing Science / Ausgabe 1/2017
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-016-0472-y

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