Supplier dependence and R&D intensity: The moderating role of network centrality and interconnectedness

DOIhttp://doi.org/10.1016/j.jom.2018.11.002
AuthorDong‐Young Kim,Pengcheng Zhu
Date01 November 2018
Published date01 November 2018
Contents lists available at ScienceDirect
Journal of Operations Management
journal homepage: www.elsevier.com/locate/jom
Supplier dependence and R&D intensity: The moderating role of network
centrality and interconnectedness
Dong-Young Kim
a,
, Pengcheng Zhu
b
a
University of North Florida, Coggin College of Business, 1 UNF Drive, Jacksonville, FL, 32224, USA
b
University of San Diego, School of Business, 5998 Alcala Park, San Diego, 92110, USA
ARTICLE INFO
Accepted by: T Browning
Keywords:
Supplier dependence
Eigenvector centrality
Supply interconnectedness
R&D intensity
Resource dependence
Social network
Econometric analysis
ABSTRACT
This study examines whether nancial dependence upon a few customers is negatively related to the allocation
of innovation resources of supplier rms. Furthermore, this study investigates whether these negative eects of
supplier dependence on research and development (R&D) intensity are reduced when the supplier leverages
social capital conceptualized in terms of eigenvector centrality and interconnectedness. Using panel data, we
nd that a supplier rm's dependence upon major customers has a negative relationship with the supplier rm's
R&D intensity. Our results, however, reveal that a dependent supplier having high eigenvector centrality or
working with other companies that are densely connected to each other mitigates the negative eects of supplier
dependence on R&D intensity. These ndings highlight the importance of external information or resources
being available in supply networks when suppliers that are dependent upon major customers explore and exploit
opportunities for new product development.
1. Introduction
Although U.S. companies refrained from boosting most business
spending, such as ordering fewer machine tools and building fewer
buildings, their R&D spending in 2016 increased at a rapid pace com-
pared with the previous year. This change includes, for example, a 23%
increase in R&D spending and a 19% decline in spending on structures
(Buss, 2016). The human genome project, led by the U.S. government
from 1988 to 2003, generated $796 billion in economic impact and
helped the U.S. economy generate $141 for every $1 spent on the R&D
project (Tripp and Grueber, 2011). Investment in product and process
innovation indicates a rm's R&D intensity and is a major outcome of
collaborations, which involve a risky decision and highly uncertain
returns over a long period of time (Eroglu and Hofer, 2014;Lim, 2015;
Mackelprang et al., 2015). Understanding some of the factors that
motivate suppliers, which are dependent upon major customers to en-
hance their R&D intensity, is critical. Most supplier rms face a di-
lemma of whether to provide products or services to a few dominant
customers or seek a more diversied customer base (Irvine et al., 2016).
Suppliers that have a dependent relationship with customers must not
only constantly produce innovative products but also lower production
costs (Crook and Combs, 2007;Emery and Marques, 2011;Petersen
et al., 2008;Yan and Dooley, 2014).
Supplier dependence refers to the extent to which a supplier rm
relies on its major customers for nancial resources (Elking et al., 2017;
Patatoukas, 2012;Tangpong et al., 2008). Dependence upon major
customers is one of the most critical characteristics of supplier-customer
relationships (Huang et al., 2016). Such dependence indicates the
amount of power occupied by a dominant buyer, resulting in a dete-
rioration of a dependent supplier's commitment and cooperation
(Handley and Benton, 2012;McHugh et al., 2003). A supplier with
asymmetric dependence is easily exposed to dierent types of risks,
such as losing substantial future sales and reducing cash ows
(Dhaliwal et al., 2016). Such an imbalance in bargaining power can
cause negative outcomes in a supply chain and inuence a supplier
rm's willingness to engage in risk taking and innovation.
Despite the signicance of investment in R&D, which is a primary
source of returns and innovation, we know little about why supplier
rms highly dependent upon customers make changes in R&D invest-
ments. As Table 1 shows, researchers have made signicant progress in
understanding how the dependent relationship negatively aects rms'
nancial performance (Irvine et al., 2016;Kim, 2017;Patatoukas, 2012;
Terpend and Krause, 2015;Villena et al., 2011). Prior studies also ex-
plored dependent suppliers' perceptions in interacting with their pow-
erful customers (e.g., Ak and Patatoukas, 2016;Villena and Craighead,
2017). However, much less attention has been devoted to a theory of
why and when dependent suppliers invest in R&D, which is a key de-
terminant leading to a sustainable competitive advantage (Chen and
https://doi.org/10.1016/j.jom.2018.11.002
Received 22 September 2017; Received in revised form 23 November 2018; Accepted 27 November 2018
Corresponding author.
E-mail addresses: d.kim@unf.edu (D.-Y. Kim), pzhu@sandiego.edu (P. Zhu).
Journal of Operations Management 64 (2018) 7–18
Available online 17 December 2018
0272-6963/ © 2018 Elsevier B.V. All rights reserved.
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