Establishing Logistics Service Strategies That Increase Sales

Date01 September 2016
DOIhttp://doi.org/10.1111/jbl.12133
Published date01 September 2016
Establishing Logistics Service Strategies That Increase Sales
Rudolf Leuschner
1
and Douglas M. Lambert
2
1
Rutgers University
2
The Ohio State University
While the linkage between logistics performance and rm performance has received attention in the literature, typically rm performance
is measured as customer satisfaction and customer loyalty rather than share of business or other measures that translate into a nancial
benet. Thus logistics executives continue to be judged primarily on cost and asset reductions. Only one study has documented how logistics
performance affects customer satisfaction and the percentage of business allocated to the suppliers as well as the differences in outcomes
between rms identied as primary and secondary suppliers (Leuschner et al. 2012). In this research, we use samples in the motion picture and
video production industry, and the plastic materials and resins industry to investigate the impact of the Marketing Mix on customer satisfaction
and share of business. Our results differ from Leuschner et al. (2012) regarding the impact of product, price, and promotion on customer satis-
faction, but we conrm the impact of logistics performance on customer satisfaction and the relationship between customer satisfaction and
share of business for primary and secondary suppliers combined. Finally, we provide a framework to identify logistics service strategies based
on a customers current protability, potential growth, and the share of a customers purchases obtained.
Keywords: logistics service; customer satisfaction; share of business; replication; structural equation model
INTRODUCTION
In most organizations, logistics executives are judged primarily
on cost and asset reductions because the nancial impact of
improvements in logistics service performance is not measured.
Consequently, top management focuses on service performance
when customers are complaining and when customers are silent
their attention turns to the amount of cost and asset reductions
achieved for the year. While there is evidence that strong perfor-
mance on logistics attributes improves business outcomes (Stank
et al. 1999; Mentzer et al. 2001; Davis-Sramek et al. 2008), the
outcomes used by these authors (satisfaction and loyalty) are not
metrics that will inuence the behavior of senior management
such as sales increases or prot improvements related to sales
increases (Enz and Lambert 2015). One way to measure the
value of logistics service, is to show how it affects customer sat-
isfaction and the share of business that customers give to suppli-
ers. Share of business is the percentage of sales that is assigned
to a specic supplier by the customer (M
agi 2003) when the cus-
tomer distributes purchases among several suppliers. Initiatives
that increase sales are typically viewed positively by top manage-
ment (Enz and Lambert 2012) and Wall Street. Because corpo-
rate resources are limited, it is important to understand how
logistics service affects customer satisfaction and share of busi-
ness relative to product, price, and promotion. Also, it is impor-
tant to determine how to establish logistics service levels for
individual customers.
Leuschner et al. (2012) investigate the relative impact of logis-
tics service, product, price, and promotion on customer satisfac-
tion and share of business for primary suppliers and secondary
suppliers. They nd a signicant relationship between
performance on promotion and logistics (place) with customer
satisfaction and the share of business customers allocated to indi-
vidual suppliers. The authors challenged prior literature that
found a signicant link between logistics service and customer
satisfaction, by showing that the relationship between these two
constructs may be moderated by whether rms are being used as
the primary supplier or the secondary supplier by their cus-
tomers. Typically, customers are more satised with the service
they receive from primary suppliers, and providing these cus-
tomers with higher levels of service may yield no increase in
sales because the supplier is already performing better than other
suppliers being used by these customers. However, providing
service improvements to selective customers that are using the
rm as the secondary supplier may yield signicant increases in
customer satisfaction and lead to higher sales to these customers
(share of business). Thus, the common practice of providing ser-
vice levels to customers based on current revenue or protability
needs to be reevaluated.
In this research, we replicate the Leuschner et al. (2012)
study, which was conducted in the healthcare industry using two
new samples, one in the motion picture and video production
industry, and the other in the plastic materials and resins indus-
try. The need for replication has been recognized for more than
50 years (e.g., Furchtgott 1984; Hubbard and Armstrong 1994;
Sterling et al. 1995; Hubbard et al. 1998). In this study, the
industries include products that are different from blood banking
reagents, which were examined in Leuschner et al. (2012).
Respondents must have the same basis for evaluating their sup-
pliers (e.g., product categories purchased), and the original study
should not be generalized to the entire health care industry never
mind to other industries, because the buying process can be dif-
ferent depending on the product category being purchased. For
example, magnetic resonance imaging (MRI) equipment is pur-
chased by hospital committees, which are not involved in the
purchases of reagents. Thus, it is necessary to specify specic
product categories when asking respondents to evaluate their
suppliers so that their evaluations are based on similar products
and competitors. If one tried to study purchasing behavior in the
Corresponding author:
Rudolf Leuschner, PhD, Assistant Professor, Department of Supply
Chain Management, Rutgers Business School, Rutgers University, 1
Washington Park, Room 986, Newark, NJ 07102, USA; E-mail:
rleuschner@business.rutgers.edu
Journal of Business Logistics, 2016, 37(3): 247270 doi: 10.1111/jbl.12133
© Council of Supply Chain Management Professionals
health care industry without doing this, who would be surveyed
and what products and competitors would respondentsanswers
be based upon? Ignoring such differences would lead to varia-
tions in response based on the products the buyers purchased
which would not be identied by the researchers, thus invalidat-
ing the research ndings. Indeed, the products studied in this
research are more similar to reagents than to other products in
the health care industry (such as MRI equipment, surgical
implants, etc.).
While the importance of replication has been the topic of a
number of research papers (Hunter 2001; Evanschitzky et al.
2007; Goldsby and Autry 2011), they are still not commonplace.
Yet, replications are important for the advancement of the disci-
pline. The results of a single study should not be regarded as
generalizable and it is also possible that the ndings will not
hold over time. In fact, in replications of clinical research 16%
of highly cited studies were contradicted by subsequent research
and in another 16% stronger effects were found (Ioannidis
2005). Is it not reasonable to expect that in a competitive busi-
ness environment, management actions which lead to a competi-
tive advantage, as measured by customer satisfaction and share
of business, will be challenged by competitors (Anderson et al.
1994; Anderson and Mittal 2000)? In other words, the actions
that result in a competitive advantage for an organization today,
may not do so in the future, if competitors match or exceed the
rms performance. This further builds the case for replication.
We believe that this research is much more than a replication.
Our rst goal for this research was to provide further evidence
that logistics service performance leads to customer satisfaction
and higher sales volume (share of business). Because corporate
resources are scarce, it is important to identify the impact of
expenditures on logistics relative to product, price, and promo-
tion. Given Porters (1979) ve forces model, it is reasonable to
expect that research results will vary from industry to industry
and over time. Theoretically, it adds an important nuance to our
understanding of the Marketing Mix if the importance and signif-
icance of the individual components varies across industries.
Knowledge of how customers respond to corporate expenditures
enables management to allocate scarce resources more efciently
and effectively.
The second goal was to determine how perceived differences
in performance between primary suppliers and secondary suppli-
ers affects customer satisfaction and share of business for prod-
ucts in industries that have different characteristics than those in
the original research (Leuschner et al. 2012). When all of a sup-
pliers customers are considered as a sample (Emerson and
Grimm 1999; Davis-Sramek et al. 2008), a signicant relation-
ship may be found between performance and satisfaction, but
this may occur because some respondents used the rm as a pri-
mary supplier and some as a secondary supplier, a fact that
would go undetected. Our research is consistent with calls for
more replication (Hunter 2001; Goldsby and Autry 2011).
The third goal, was to build on the work of Leuschner et al.
(2012) by providing a framework that management can use to
determine the appropriate logistics service strategies based on a
customers current protability, potential growth, and the share
of the customers purchases obtained. For example, suppliers will
segment their customers and provide their best and largest cus-
tomers with the highest levels of service. However, while
providing the best service to these customers may keep them
loyal which is good, it does little to convince high-potential cus-
tomers who are using a supplier as a secondary source to make
that company the primary supplier. For this reason, there is a
need for a framework such as the one we are proposing.
In the next section, we describe the relevant literature and
development of the hypotheses. It is followed by the research
methodology. Data from two surveys were used to test the differ-
ences between primary and secondary suppliers using multigroup
structural equation modeling (SEM). Then, the results of the
analysis are presented, followed by a section describing a frame-
work for establishing logistics service level strategies. Finally,
conclusions, including implications for theory, implications for
management, limitations and opportunities for future research,
are provided.
LITERATURE REVIEW AND HYPOTHESIS
DEVELOPMENT
Logistics managers point to service improvements as evidence
that they add value beyond cost and asset reductions; however,
convincing upper management is difcult because typically these
improvements are not translated into nancial performance
(Novack et al. 1994, 1996). If logistics service performance leads
to increased customer satisfaction and a higher share of a cus-
tomers purchases, measuring the associated increase in sales will
challenge the belief that logistics only contributes cost and asset
reductions. In addition, if superior logistics performance leads to
more revenue from satised customers, top management might
view logistics as way to achieve competitive differentiation given
that prior research has shown that nancial measures of perfor-
mance inuence the behavior of management (Enz and Lambert
2015).
A number of past studies have attempted to measure the rela-
tionship between superior logistics execution and higher revenue
from satised customers and nine of these research projects con-
ducted in the last 25 years are summarized in Table 1. In six of
the studies (Innis and La Londe 1994; Emerson and Grimm
1999; Stank et al. 1999; Mentzer et al. 2001; Davis-Sramek
et al. 2008; Fugate et al. 2010) rm performance was measured
as perceptual evaluations of customer satisfaction and loyalty,
but the authors did not address how these measures translate into
revenue or other nancial benets. It is important to measure the
revenue gains associated with logistics performance because
when resources are scarce, management must make trade-offs
between improving logistics service and investing in other areas
that might increase sales and protability. For this reason, logis-
tics expenditures must be considered relative to other opportuni-
ties for improving sales and protability (Innis and La Londe
1994; Emerson and Grimm 1999; Leuschner et al. 2012). Two
of the studies, summarized in Table 1, used overall market share
of the rm as the outcome, but logistics performance was mea-
sured at the individual customer level and the outcome was each
rms overall market share which was not related to the answers
provided by individual respondents included in the research
(Daugherty et al. 1998; Stank et al. 2003). There was only one
study that tied logistics performance to customer satisfaction and
share of business (Leuschner et al. 2012). In their research, the
248 R. Leuschner and D. M. Lambert

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