Entry‐Timing Advantages in Renewable Natural Resources Industries

AuthorAlejandro F. Mac Cawley,Roberto S. Vassolo,José Ignacio Sepúlveda Vargas,Ángel Sevil
Date01 November 2019
DOIhttp://doi.org/10.1111/joms.12436
Published date01 November 2019
© 2019 Society for the Adv ancement of Management Stud ies and John Wiley & Son s, Ltd.
Entry-Timing Advantages in Renewable Natural
Resources Industries
Alejandro F. Mac Cawleya, Ángel Sevilb,
Roberto S. Vassoloa,b and José Ignacio Sepúlveda Vargasa
aDepartme nt of Industrial and Systems E ngineer ing, School of Engineer ing, Pontifici a Uni versidad
Católica de Chil e; b Department of Busin ess Policy, IA E Business Sch ool, Universi dad Austral
ABST RACT In this paper, we explore the cond it ions of ent ry-timing advantage s in renewable
natural resou rce industries. Drawing from behav iou ral theory of the firm , we classify fir ms in
two groups dependi ng on the different heuristics used to m ake entry decisions when facing the
cyclical endogenous nat ure of these industries: crowd fir ms are procyclical, mak ing decisions
based on the current phas e of t he industry cycle, whereas anti-crowd f irms follow a countercy-
clical str ateg y, ma king uncertain, and r isky decisions by estimation of the nex t pha se of the
cycle. Therefore, anti-crowd f irms anticipate the deployment of resource s each cycle, poten-
tially g aining entry-timi ng advantages beyond those provided by trad itional competitive
isolating mecha nisms. Through a mathematical s imulation of a performance feedback model,
we reveal that the entr y-timing advantage of t he anti-crowd group becomes possible when the
rivalr y in the industry and the price sen sitivity of competitors are high, and when t he t ime
required to deploy the resour ces is short.
Keywords: entry t iming, mathematical simu lation, natural resource industr ies, performance
feedback, strateg ic decision-making
INTRODUCTION
Scholars in the strateg ic management field have long been concerned with the question
of whether firms can create advantages by strateg ically tim ing their entry into new
markets (Lieberma n and Montgomery, 2013; Mak adok, 1998; Zachary et al., 2014). A
signif icant body of research arg ues that order of entry advantage emerges from competi-
tive isolating mechan isms, or from fir m-level resources and capabilities ( Fuentelsaz et al.,
Journal of Man agement Studi es 56:7 November 2019
doi:10. 1111/j om s. 124 36
Address for repr ints: Alejan dro F. Mac Cawle y, Department of Indu strial a nd System Engi neering, School of
Engineer ing, Pontificia Univer sidad Católica de Chile, Avda. V icuña Mackenna 4860 , Macul, Santiago,
Chile (amac @ing.puc.cl).
Entry-Timing Advantages 148 3
© 2019 Society for the Adv ancement of Management Stud ies and John Wiley & Son s, Ltd.
2002; Teece et al., 1997), which are contingent on contextual condit ions (Lieberman and
Montgomery, 1988; Mueller, 1997; Suárez and Lanzolla , 2007). Recent studies in the
field have attempted to build an integr ative view of entry-timing advantages ( Fosfuri et
al., 2013; Zachary et al., 2014) or considered new contingent factors ( Markides and Sosa,
2013; Markman and Waldron, 2014). We add to this literature examining under what
conditions fir ms get superior performance based on entry-t iming decision-mak ing in a
specific sett ing: renewable natural resource industries. Supported on the behavioura l
theory of the fi rm, we propose that competitors’ heuristics, a s a cognitive capabilit y,
is the key determinant for getting entr y-timing advantage, beyond those grounded in
structura l properties of the industry or product char acteristics (Zacha ry et al., 2014).
Natural resource industries have received limited attention to date and consequently
represent a rich area for enquiry (George et al., 2015). They represent 25 per cent of
global exports (World Trade Organization, 2015), and national economic activity in most
emerging economies and several developed countries (e.g., Australia, Canada, and the
Northern European countries) depends heavily on natural resource industries. Following
Wu (2014), we define natural resource industries as those whose main purpose is to re-
produce, explore, and utilize nature, converting natural resources into useful resource
commodities. That is, natural resource industries depart from other industries in the fact
that the product does not suffer a commoditization process, since it is and remains a com-
modity. Besides, these industries also present extremely low levels of product innovation,
since the product remains unaltered for decades or centuries. Therefore, competitive
evolution diverges from that of differentiated product industries (Cruz Novoa et al., in
press), offering a unique setting for analysis.
Two boundary conditions apply for our study. First, we restrict the study to renewable
natural resource industries. We exclude sectors based on exhaustible resources, subject
to depletion. Second, we consider natural resource industries that evaluate investment
decisions along the commodity price cycle, i.e., industries with non-zero marginal costs,
and where there is a significant lag time between the decision to invest and the time full
production is reached (hereafter this time period is referred to as setup time ). This latter
condition implies the exclusion of renewable energy industries.
The theoretical need for a conceptual approach to studying entry timing in natural
resources is justified by a number of factors. First, natural resource industries are cyclical,
providing a unique setting to test entry-timing advantages with successive entries and
exits. Second, due to the absence of product differentiation, firms in natural resource
industries seldom emerge from radical product innovation. Instead, production technol-
ogy that is developed by third parties and widely available for all fir ms in the market is
standard. Therefore, capabilities and resources used by fir ms are quite homogeneous,
and establishing an entry-timing advantage on product technological leadership is sel-
dom a viable strategy. Third, these industries face a highly competitive commodity mar-
ket in which the product is decoupled from the producer when consumers purchase it.
Commodities like oil, copper, grapes, cattle, or soybeans are totally or partially fungible,
meaning that the market will trade them and they will be priced the same, regardless of
the producer, as long as they meet a specified minimum standard known as basis grade.
Thus, the possibility of establishing demand-side isolating mechanisms is minimal.

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