Sweating the Assets: Asset Leanness and Financial Performance in the Motor Carrier Industry

AuthorAmydee M. Fawcett,Vitaly Brazhkin,Matthew A. Waller,Yao Henry Jin,Christian Hofer
DOIhttp://doi.org/10.1111/jbl.12116
Date01 March 2016
Published date01 March 2016
Sweating the Assets: Asset Leanness and Financial Performance
in the Motor Carrier Industry
Amydee M. Fawcett
1
, Yao Henry Jin
2
, Christian Hofer
3
, Matthew A. Waller
3
, and
Vitaly Brazhkin
4
1
Weber State University
2
Miami University
3
University of Arkansas
4
Western Illinois University
Originally adopted by the automotive manufacturers, lean management practices have since been applied to many other manufacturing
industries. This study reviews the different theoretical perspectives on the leanness-performance relationship in the context of the motor
carriage industry. Drawing on both the lean management in logistics and organizational slack literatures, we develop hypotheses addressing the
link between asset leanness and nancial performance. These hypotheses are empirically tested using a comprehensive panel data set of 1,172
rm-quarter observations from the U.S. publicly traded truckload motor carriers. Initially expecting an inverted U-shaped relationship between
asset leanness and performance, ndings indicated a U-shaped relationship, both for carrierstotal assets and the subset of trailer assets.
Keywords: lean asset management; organizational slack; ELI estimation
INTRODUCTION
Our goal is to become more asset-light in certain areas of
the services we provide, [and] to continue to grow with
new and existing customers by providing the most efcient
transportation solutions to their supply chains. J.B. Hunt
2009 Annual Report
Lean management centers on creating customer value through
eliminating waste (Womack et al. 1990). Originally adopted by
the automotive manufacturers (e.g., Holweg 2007; Shah and
Ward 2007), lean management has since been applied to many
other manufacturing industries (e.g., Eroglu and Hofer 2011) and
has become popular around the globe (Wu 2003). In general,
lean management considers surplus assets as a potential source
of waste and contends that rms may achieve leaner operations
by generating the greatest outcome from the least input(Gold-
sby et al. 2006, 60). In turn, the combination of reduced waste
and increased value creation allows rms that adopt lean man-
agement to enjoy superior rm nancial performance (e.g.,
Jayaram et al. 2008).
While the literature has examined lean management in a vari-
ety of service operations (e.g., Swank 2003;
Ahlstr
om 2004)
and supply chains (e.g., Cox and Chicksand 2005; Goldsby
et al. 2006), its application to transportation, particularly truck-
ing, remains limited. Yet, the adoption of lean management in
trucking has been advocated by industry (e.g., Taylor et al.
2006), government (e.g., Department of Transportation 2010),
and the academy (Sternberg et al. 2013). The underlying
assumption is that lean management is benecial for trucking
despite ample evidence disputing its universal applicability (e.g.,
Cooney 2002; Eroglu and Hofer 2011; Isaksson and Seifert
2014). Indeed, possessing some degree of surplus resources, ter-
med organizational slack,enables rms to experiment, take
risks, and make proactive strategic choices (Cyert and March
1963; Nohria and Gulati 1996; Chen and Huang 2010) that
enhance rm nancial performance (Bromiley 1991; Greenley
and Oktemgil 1998).
This study reviews the different theoretical perspectives on the
leannessperformance relationship in the context of the motor
carriage industry. Drawing on both the lean management in
logistics and organizational slack literatures, we develop
hypotheses about the link between asset leanness and nancial
performance. These hypotheses are empirically tested using a
comprehensive panel data set of 1,172 rm-quarter observations
from the U.S. publicly traded truckload (TL) motor carriers. The
empirical analyses draw on a measure of motor carrier asset lean-
ness based on the Empirical Leanness Indicator (ELI) developed
by Eroglu and Hofer (2011). This indicator assesses a carriers
asset leanness by comparing its assets to a size-adjusted industry
benchmark in order to account for the potential existence of (dis)
economies of scale (e.g., McMullen and Okuyama 2000; Scher-
aga 2011). We not only assess carriersoverall asset leanness but
also analyze specic subgroups of motor carrier assets, namely
trailers and tractors to gain further insights into the specic dri-
vers of the overall asset leannessperformance relationship.
Finally, a series of semistructured interviews with senior execu-
tives from U.S. motor carrier companies and senior nancial ana-
lysts who specialize in the U.S. motor carrier industry is used to
contextualize our statistical results.
This article is structured as follows. A brief overview of the
literature streams associated with this study lays out a theoretical
framework that supports our hypotheses. Subsequently, informa-
tion on the data and variable measurement is provided. This is
followed by a presentation and discussion of the empirical results
and their interpretation in the context of the executive interviews
we conducted. The concluding remarks address limitations of this
study, its contribution to the academic literature, and future
research opportunities.
Corresponding author:
Amydee M. Fawcett, Business Administration Department, Weber
State University, Ogden, UT 84408, USA; E-mail: amydeefawcett@
weber.edu
Journal of Business Logistics, 2016, 37(1): 4358 doi: 10.1111/jbl.12116
© Council of Supply Chain Management Professionals
THEORY AND HYPOTHESES DEVELOPMENT
The pursuit of either efciency-focused cost leadership or service
differentiation is a strategic choice made by rms that involves
direct manipulation of their structural forms (Miles and Snow
1984). Even for rms competing in the same industry and thereby
subject to similar environmental features, multiple strategic choices
are present due to heterogeneous managerial perspectives and pref-
erences (Child 1972). In transportation, price and capacity exibil-
ity are two most desired traits by shippers in general (Meixell and
Norbis 2008). Accordingly, carriers manage their assets to achieve
operational efciency (Stephenson and Stank 1994) or provide
superior levels of service (Dobie 2005). For motor carriers, the
decision to structure rm assets in pursuit of cost leadership may
imply the adoption of lean management. On the other hand, those
carriers that choose to compete through a differentiation strategy
may operate with greater levels of asset slack.
We explore both the leanand slackperspectives to
develop and support the hypotheses in this article. Research on
lean (asset) management in the broader supply chain manage-
ment literature typically emphasizes the virtues and nancial ben-
ets of lean practices. The organizational slack literature, on the
other hand, suggests that some surplus resources are needed and
contribute to greater performance. Table 1 summarizes and con-
trasts empirical studies drawing on these literatures to explore
the relationship between leanness/slack and rm performance.
Lean asset management and rm performance
Lean asset management can be viewed as producing more
revenue and prot with the same or fewer assets ... [thus
improving] return on assets (ROA) and other nancial ratios
(Papatheodorou 2005, 12) and can be traced back to the Toyota
production system developed by Taiichi Ohno and Shigeo
Shingo (Inman 1999). The goal of being lean is to drive out
waste in business operations (Holweg 2007) and reduce process
complexity to enhance asset productivity and generate customer
value (Papatheodorou 2005; Jacobs and Chase 2012). Strategi-
cally, a lean approach to management involves using less of
everythingin an effort to improve rm performance (Womack
et al. 1990; Hines et al. 2004). When excess capacity is present,
rms tend to benet from eliminating surplus assets, thereby
enhancing operational effectiveness and ultimately improving a
companys competitive position in the industry (Neinstedt 1989;
McKinley et al. 1995; De Meuse et al. 2004).
Despite the intuitive appeal of lean management, empirical
evidence of its relationship with rm performance is not univer-
sally positive (Eroglu and Hofer 2011). Prior research has sug-
gested that the leannessperformance linkage may be inuenced
by a variety of factors. For example, adopting lean management
may result in lower protability for suppliers if they are depen-
dent on a dominant buyer, who may place highly varied orders
and demand rapid supplier response (Cox and Chicksand 2005).
In addition, overzealous application of lean management to assets
that mitigate uncertainty, such as inventory, may leave rms vul-
nerable to demand shocks (Zipkin 1991; Hendricks and Singhal
2003). Further, lean management may hinder the effective use of
batched manufacturing for products with intermittent demand
(Cooney 2002). Last, the leannessperformance relationship is
also subject to inuence from factors that are unique to different
industries (e.g., Jayaram et al. 2008; Eroglu and Hofer 2011).
Organizational slack and rm performance
Whereas lean management suggests that rm performance tends to
improve with resource reduction (e.g., Womack et al. 1990), not
all surplus resources are considered waste (Penrose 1959). Instead,
such resources provide potentially valuable organizational slack,
which is commonly dened as a cushion of actual or potential
resources [to] allow an organization to adapt successfully to inter-
nal pressures for adjustment or to external pressures for change in
policy, as well as to initiate changes in strategy with respect to the
external environment(Bourgeois 1981, 30).
According to the basic tenets of the organizational slack
perspective, rms may improve performance by proactively
deploying surplus resources for the purpose of mitigating negative
consequences of competing in an uncertain competitive environ-
ment (Cyert and March 1963). Slack allows rms to simultane-
ously manage multiple competitive objectives (Rosenzweig and
Roth 2004) and encourages experimentation to gain greater exi-
bility (Moses 1992; Adler et al. 2009) and innovative capacity
(Nohria and Gulati 1996). Further, because slack allows rms to
successfully and rapidly adapt to environmental changes (Cheng
and Kesner 1997), adverse effects of supply chain disruptions may
also be successfully mitigated (Hendricks et al. 2009).
While some degree of resource slack may be benecial, prior
research has emphasized that too much slack is problematic and
may, in fact, hurt performance (e.g., Cyert and March 1963;
Cheng and Kesner 1997; Daniel et al. 2004). That is, surplus
resources may create a false sense of abundance, foster compla-
cency, and ultimately stie innovation (Young et al. 1996).
Without a properly aligned incentive system, slack can encourage
satiscing, politics, or self-serving managerial behaviors that will
hurt performance (Jensen 1986; George 2005). As a result, slack
may either be squandered by rms or simply sit idle and, thus,
harm performance (Jensen 1986; Singh 1986; Greenley and
Oktemgil 1998; Modi and Mishra 2011).
Lean management and organizational slack in services
The empirical lean management and organizational slack litera-
tures mostly focus on manufacturing settings (Daniel et al. 2004;
Wee and Wu 2009). However, both concepts are applicable to a
wide range of service settings as well (Arnheiter and Maleyeff
2005; Modi and Mishra 2011). Proponents of both the lean and
organizational slack perspectives have documented a perfor-
mance effects in sectors such as retail (Abernathy et al. 2000;
Daniel et al. 2004), nancial services (Swank 2003; Daniel et al.
2004), apparel (Ferdows et al. 2004), information technology
(Womack and Jones 2005), and health care (Spear 2005).
In transportation, both lean management and organizational
slack have been applied to airlines and railroads. In the airline
industry, for example, the application of lean practices may
improve asset efciency to enjoy superior operations and
nancial performance (Tsikriktsis 2007). Madsen (2013), on the
other hand, suggests that possessing slack reduces accident rates
and improves safety performance. Moreover, Hambrick et al.
(1996) argue that resource slack is needed to gain market share.
44 A. M. Fawcett et al.

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