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Antecedentsand ConsequencesofFirms Export Commitment: An
Empirical StudyAntonio Navarro,Francisco J. Acedo,Matthew J. Robson ,
Emilio Ruzo, and Fernando Losada
ABSTRACT
Theory posits that export commitment is key to the effective implementation of resource-led strategy. The authors
investigate the role of export commitment, considered a multidimensional construct, in linking export resources and
capabilities to positional advantages achieved in foreign markets. They test their resource-basedview assertions amonga
multi-industry sample of 150 Spanish exporters. The results show that experiential resources, specific export capabili-ties, and export market orientation (EMO) reinforce export commitment, which exerts a positive effect on perceived
positional advantages. These perceptions also are likely to be positive if the firm adapts its marketing mix to the needs
of its foreign markets. Moreover, the results show that EMO exerts a positive influence on marketing-mix adaptation.
Resources linked to experience and informational knowledge about foreign markets foster the development of capabili-
ties (i.e., specific export capabilities and/or EMO). Finally, the results indicate that specific export capabilities influence
EMO. The authors conclude with a discussion of practical implications for facilitating export competitive strategy and
success.
Keywords: export commitment, perceived positional advantages, adaptation of marketing strategy, export market
orientation, specific export capabilities, export resources, dynamic capabilities view
Exporting is the basic entry mode into foreign
markets, and traditionally, this field has generatedgreat managerial and scholarly interest. Internal driversof export outcomes have received the bulk of research
attention because they are the primary control
Antonio Navarro is Associate Professor of Marketing and
Market Research (e-mail: anavar [email protected]), and Francisco
J. A ce do is Associate Pro fessor of Strategic Management
(e-mail: [email protected]), Business Management Faculty,
University of Sevilla.
Matthew J. Robson is Professor of Marketing, Leeds Uni-
versity Business School, University of Leeds (e-mail:
Emilio Ruzo is Associate Professor of Marketing and Market
Research (e-mail: [email protected]), and Fernando Losada
is Associate Professor of Marketing and Market Research
(e-mail: [email protected]),Business Management
Faculty of Lugo, University of Santiago.
management exercises. Indeed, the literature treatsmanagement attitudes as malleable elements that canfoster the progress of the company in its exportmarket operations (Lages, Jap, and Griffith 2008).Among these attitudes, Aaby and Slaters (1989) andZou and Stans (1998) reviews give a main role toexport commitment. The public policy implications of
export commitment are understood. By assessingfirms levels of export commitment, national govern-ments can identify appropriate forms of assistance (e.g.,educational programs focusing on the attractiveness ofexporting, funding to go to international trade fairs)
(Singer and Czinkota 1994).
Journal of InternationalMarketing
2010, AmericanMarketingAssociation
Vol. 18, No. 3, 2010, pp. 4161
ISSN 1069-0031X (print) 1547-7215 (electronic)
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Firms Export Commitment 41
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Inspection of the exporting literature reveals studies
(e.g., Beamish et al. 1999; Styles and Ambler 2000) that
theorize that export commitment is a direct antecedent
of performance. However, prior research has concen-
trated on the role of strategy in general and marketing
program adaptation/standardization in particular in
leading to export performance outcomes (Hultman,
Robson, and Katsikeas 2009; Sousa, Martinez-L pez,
and Coelho 2008). In line with the influential structure
conductperformance framing, several studies (e.g.,
Lages, Jap, and Griffith 2008; Lages and Montgomery
2004; Naidu and Prasad 1994; OCass and Julian 2003)
treat export commitment as an antecedent or contin-
gency factor that affects international marketing
strategy, which in turn determines performance.
Exporters could be forgiven for finding it easier to for-
mulate strategies that outline how they intend to achieve
their goals than to implement strategies using appropri-
ating mechanisms (Beamish et al. 1999; Vorhies and
Morgan 2003).
Using the resource-based view (RBV), we theorize a
central role for export commitment in the effective
implementation of resource-led strategy. Export com-
mitment is defined as the willingness of a firms manage-
ment to devote adequate financial, managerial, and
human resources to exporting activities (Donthu
and Kim 1993). Our study makes three main contribu-
tions. First, prior work has found that export commit-
ment increases the likelihood of success in foreign mar-
kets. However, this work assumes a direct link with
performance outcomes, and as yet, studies have notlinked export commitment to positional advantage
in export markets. Our RBV framing is the first to
stipulate this.
Second, the study is novel in investigating the role
of export commitment, alongside marketing-mix
adaptation, in mediating the relationships of resources
(scale, experiential, structural, and informational) and
capabilities (specific export capabilities and export
market orientation [EMO]) with perceived positional
advantages. Previous studies (Cavusgil and Zou 1994;
Zou and Stan 1998) have explained that managerscommitted to exporting carefully plan the entry and
allocate sufficient managerial and nonmanagerial
resources to their export ventures. This means that
resource strategy can be implemented effectively. Such
an implementation-related performance effect comple-
ments the formulation-related outcomes of marketing-
mix adaptation frequently observed in the exporting
literature.
Third, we develop a multidimensional conceptualizationof export commitment that takes into account currentand anticipated commitment levels. Existing conceptu-alizations emphasize export venture planning andresource levels within unidimensional measurements.With few exceptionssuch as OCass and Julians
(2003) measure, which includes an item on resources
available for export developmentprevious studieshave concentrated on current commitment. Notwith-
standing the importance of current behavioral commit-
ments, the commitment literature (e.g., Kim and Frazier
1997) has also highlighted the importance of the stabil-
ity of attitudinal commitment sentiments.
We organize the remainder of the article as follows: The
next section discusses the nature of export commitment.
Then, we present the theoretical background of the con-
ceptual model using the RBV, along with study hypothe-
ses. Next, we explain the research methods involved in
developing our data from a multi-industry sample of150 exporters. We follow this with the study results and
a discussion that draws conclusions from these and pro-
vides implications for theory and management practice.
The work ends with limitations and suggested future
lines of research.
EXPORT COMMITMENT: CONCEPTAND NATURE
A review of the literature reveals two main approachesto conceptualizing export commitment. First, studies
have depicted commitment as an attitudeas an endur-
ing positive disposition held by management toward the
act of exporting. For example, Bello and Barksdale
(1986) argue that committed exporters believe strongly
that exporting can contribute to achievement of their
firms goals, and Cavusgil and Nevin (1981) argue that
committed exporters are willing to devote necessary
resources to exporting. Second, a stream of studies has
conceptualized export commitment as a behavior, focus-
ing on manifestations of the construct. Cavusgil and
Zou (1994), as well as recent studies employing their
measures (e.g., Lages, Jap, and Griffith 2008), capture
commitment as the amount of planning, financial, and
managerial resources the firm allocates to exporting.
Despite the performance relevance of behavioral com-
mitment, theorists (e.g., Leonidou, Katsikeas, and Piercy
1998) argue that a comprehensive picture of commit-
ment can only be obtained by incorporating attitudes as
well as behaviors.
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Applying the RBV, we theorize that export commitmentoffers strategic guidelines that orientate managers deci-sion making in foreign markets and helps improve theefficiency and effectiveness of the resource allocationgoing forward (Lages and Montgomery 2004). If exportcommitment increases managers willingness to makeefforts to achieve export objectives, it is important that
behavioral commitments are made in the present andthat these commitments are ongoing. This reflection onthe continuity of commitment and allied attitudinal sen-timents (Frazier and Rody 1991) is in line with researchin marketing and management (see Kim and Frazier
1997).
We argue that export commitment is an organizational
variable that focuses on how firms currently function
and intend to make improvements in leveraging export
resources. Thus, we view export commitment as a multi-
dimensional and dynamic phenomenon that comprises
both behavioral and attitudinal dimensions (Pauwels
and Matthyssens 1999; Stump, Athaide, and Axinn
1999). Specifically, we posit that export commitment
consists of current export commitment, defined by the
financial, managerial, and human resources the firm
currently dedicates to foreign trade operations to
achieve its goals (Cavusgil and Zou 1994), and antici-
pated export commitment, which pertains to managers
willingness to dedicate financial, managerial, and
human resources to ongoing export activity (Donthu
and Kim 1993).
CONCEPTUAL MODEL ANDHYPOTHESES
To advance knowledge about export commitment, we
must conceptualize its antecedentsand consequences
using a robust theoretical lens. The RBV is one of the
most widely accepted theories in international market-
ing (Jean, Sinkovics, and Kim 2010; Lages, Silva, and
Styles 2009). This theory characterizes firms as unique
bundles of resources and capabilities that are available
for the firms business ventures to deploy (e.g., Hamel
and Prahalad 1994). Heterogeneity in the resources and
capabilities ultimately leads to variations in firm per-formance (Teece, Pisano, and Shuen 1997). Resource-
based logic holds that export managers use resources
and capabilities in devising strategic actions that achieve
competitive superiority in the form of positional advan-
tages in overseas markets (Morgan, Kaleka, and Kat-
sikeas 2004). An exporters advantageous value offering
to customers and cost position in realizing the value
drive its performance (Day and Wensley 1988).
However, a limitation of traditional RBV frameworks isunawareness of implementation issues. Strategic actionsmust attend not only to strategy formulation mattersbut also to organization behaviors or activities thatpermit proper strategy implementation. We posit thatexport commitment serves as the organizing mechanismthat enables firms to exploit the full potential of
resource-basedstrategy. Processes that build and adjustresources and capabilities in line with environmentalflux can continuously shape attitudes and behaviorstoward exporting that provide the platform for exploit-ing the resource base. Therefore, our conceptual model
(see Figure 1) identifies relationships of resources and
capabilities with export commitment and marketing-
mix adaptation, both of which lead to perceived posi-
tional advantage.
Our model acknowledges the key distinction between
resources and capabilities (Day 1994). Resources are the
firm-controlled asset stocks that constitute the raw
materials available to the firm for developing export
activity (Black and Boal 1994). Although many
resources may be available to exporters, four emerged as
particularly important in our fieldwork: (1) resources
derived from the firms size (scale resources)that are an
indicator of managerial and financial assets available for
export activity (Dhanaraj and Beamish 2003); (2)
resources associated with the firms experience in for-
eign markets (experiential resources), which reduce
uncertainty and foster the exporters learning ability
(Cavusgil and Zou 1994); (3) resources derived from
formal structuringthat is, whether an export depart-
ment exists (structural resources)whichare considereda preparatory move toward developing significant for-
eign trade activity (Donthu and Kim 1993); and (4)
resources associated with foreign market research
(informational resources) that enable export marketing
programs to match the needs of channel members and
foreign customers (Morgan, Kaleka, and Katsikeas
2004).
Capabilities are the organizational processes by which
available resources are developed, combined, and trans-
formed into value offerings for the export market (Day
1994; Teece, Pisano, and Shuen 1997). Our literaturesearch and fieldwork suggested two types of capabilities
that could ultimately lead to export advantage: (1) spe-
cific export capabilities, which derive from managers
characteristics and certain export activity skills (e.g.,
Zou and Stan 1998), and (2) market-sensing capabilities
achieved through the firms EMO. Acquiring and dis-
seminating information about customers, competitors,
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Figure 1.GraphicalDesc riptio nof Mo de l
Resources
Firmsize
Exportexperience
Exportdepartment
Informationsystem
Exportcommitment
Perceivedpositionaladvantages
Specific exportcapabilities
Marketing-mix
adaptation
EMO
Capabilities
channels, and the broader export market environment
can help reduce uncertainty in export marketing and
enable efficacy in the design and implementation of
responses directed toward export markets (Cadogan,
Diamantopoulos, and De Mortanges 1999).
Export Commitment and PerceivedPositionalAdvantages
A firm possesses a competitive advantage when it has
certain resources and capabilities that are unique and
difficult to imitate and it can present an offer to the mar-
ket that provides more value to its customers than com-
peting offers (Barney 1991). Kaleka (2002) points out
that the positional advantages derived from exporting
constitute the position the firm achieves in relation tothe combination of cost, product, and service elements
in a particular foreign market. As such, we define export
positional advantage as managerial perceptions of the
firms competitive strength (e.g., cost and product
advantages) relative to its competitors in export markets
(Albaum et al. 2003).
Studies have demonstrated that export commitment
exerts a positive effect on financial and operational per-
formance outcomes (Cavusgil and Zou 1994; Donthu
and Kim 1993; Lages, Jap, and Griffith 2008; Stump,
Athaide, and Axinn 1999). Still, the influence of export
commitment on positional advantages has not been
studied in the literature, and thus additional research isrequired. Our framing of positional advantage as an
outcome variable of note is consistent with the RBV that
capabilities contribution to performance should be
investigated by disaggregating firm performance into
key processes that are less distal from the resources
(Ray, Barney, and Muhanna 2004).
Cavusgil and Zou (1994) point out that firms commit-
ted to exporting carefully plan entry tasks and allocate
essential managerialand nonmanagerialresources to
their export ventures. For example, firms committed to
their export activity tend to offer strong support to theirdistribution partners in foreign markets, enhancing the
exchange of information to overcome resource deploy-
ment issues. In addition, firms committed to exporting
are likely to develop value-adding services (e.g., post-
sales support, customer attention). These services tend
to be highly valued by customers in foreign markets,
influencing their degree of loyalty (Beamish, Craig, and
McLellan 1993). Export commitment serves to increase
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and configure information flows from the marketplaceto reduce the uncertainty and risks related to exporting. Itenables a firm to allocate resources correctly andproactively to ongoing exporting activities (Styles andAmbler 2000) to achieve positional advantages over-seas. In summary, export commitment enables a firm toorganize marketing strategy activities so that these can
be implemented, with less difficulty, to achieve advan-tage in competitive export markets. These argumentsgive rise to the following:
H1: Export commitment is positively related to
perceived positionaladvantages.
Antecedents of Export Commitment
The literature reveals a range of internal and external
factors that underpin export firm strategic actions. For
example, Lages and Montgomery (2004) combine inter-
nal and external perspectives to assert that export com-mitment stems from satisfaction with prior export per-
formance, the intensity of export market competition,
and the level of export market development. That being
said, the literature has placed emphasis on controllable,
internal drivers of export commitment. For example,
Kacker (1975) argues that export commitment is a func-
tion of top management philosophies and organiza-
tional goals, such that if management believes that
exporting is beneficial only to use up excess capacity,
the firm is expected to be less committed to exporting.
Cavusgil and Nevin (1981) and Reid (1983) both con-
tend that commitment may be a function of resource
availability. Building on this line of enquiry, we concep-
tualize a set of resources and capabilities that provide a
significant explanation of export commitment.
Effect of EMO on Export Commitment. Although there
are similarities in the conceptual application of market
orientation to domestic and foreign markets, because of
problems of accessibility and quality of information, the
greater complexity of the export environment necessi-
tates content adaptation (Cadogan et al. 2001; Van
Raaij and Stoelhorst 2008). As such, and in line with
Cadogan, Diamantopoulos, and De Mortanges (1999),
we define EMO activities as (1) the generation of mar-ket intelligence pertinent to the firms exporting opera-
tions; (2) the dissemination of this information to
appropriate decision makers; and (3) the design and
implementation of responses directed toward export
customers, export competitors, and other extraneous
export market factors that affect the firm and its ability to
provide superior value to export customers.
Our conceptualization of EMO emphasizes the abilityof a firm to learn about customers, competitors, and therest of its stakeholders so that it can continuously senseand act on events and trends in present and prospectivemarkets (Day 1994). Moreover, EMO may even beviewed as a dynamic (outside-in) capability that allowsfor the developmentof market-sensingprocesses for
gathering, interpreting, and using foreign market infor-mation in a more systematic, thoughtful, and anticipa-tory way than other firms can accomplish. Developingthis capability can assist a firm in discovering marketopportunities and designing a value proposal. Such avalue proposal affects the whole organization becausecorporate resources must be aligned to create a market-responsive firm (Cadogan and Diamantopoulos 1995).Therefore, EMO encourages firms to be more willing tocommit resources to exporting to realize the identifiedmarket opportunities (Armario, Ruiz, and Armario
2008). Thus, we hypothesize the following:
H2: EMO is positively related to exportcommitment.
Effect of Specific Export Capabilities on Export
Commitment. Specific export capabilities are essential
to processing and interpreting information coming from
the foreign markets: They facilitate the strategic
management of export marketing (OCass and Julian
2003). Zou and Stan (1998) point to specific managerial
capabilities as one of the key determinants of firms
export success. These capabilities include (1) fluency in
foreign languages and formal education in internationalbusiness, because this helps managementdevelop more
effective practices for developing and processing infor-
mation about the needs and preferences of foreign
consumers (Morgan, Kaleka, and Katsikeas 2004); (2)
permanent contacts with the foreign markets through
regular visits and/or attendance at international fairs,
because this strengthens the firms exporting focus
(Bello and Gilliland 1997); and (3) knowledge of the
foreign markets idiosyncrasies (e.g., values, culture,
lifestyle), because this reduces uncertainty in decision
making and favors the expansion of export activity
(Julien and Ramangalahy 2003). We
posit that owningspecific export capabilities serves to reinforce manage-
rial attitudes and behaviors directed toward increasing
the resources allocated to exporting. The firm is incen-
tivized to leverage specialized export capabilities
through greater export organization because doing oth-
erwise would be wasteful. Thus, we hypothesize the
following:
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H3: Specific export capabilities are positively
related to export commitment.
Effects of Resources on Export Commitment. Prior
research (e.g., Morgan, Kaleka, and Katsikeas 2004) has
indicated that the resources that potentially shape export
commitment are diverse. Here, we consider resources
that are derived from the firms size, associated with the
firms experience in foreign markets, derived from the
structure available for undertaking the export activity
(i.e., an export department), and linked to systematic
information collection about foreign markets.
Relationships between firm size and export behavior
have been extensively studied in the export marketing
literature, with contradictory results (Zou and Stan
1998). However, there is agreement that larger firms
possess greater managerial and financial resources, have
greater production capacity, attain superior economies
of scale, and face lower levels of perceived risk in
exporting operations (Bonaccorsi 1992; Brouthers et al.
2009). Likewise, firm size influences the number of
employees and managers linked to exporting as well as
managerial attitudes toward allocating resources for
exporting (Katsikeas 1994). Export experience is indica-
tive of the level of knowledge about foreign markets.
Previous research has theorized that knowledge gained
through experience from business operations in a spe-
cific overseas market generates opportunities and, con-
sequently, is a driving force in a firms internationaliza-
tion (Bodur 1994). Because export experience conveys a
foreign market knowledge base, it can reduce perceivedrisks. Thus, an experienced firm should be more willing
to commit resources to exporting (Cavusgil and Zou
1994).
Furthermore, firms demonstrating high levels of export
commitment are likely to have a separate organizational
setup, such as an export department to achieve their
export goals (Katsikeas 1994). The existence of a sepa-
rate export department facilitates the design of export
marketing structures and tasks to deploy resources more
effectively (Jain 2002). It would act as a positive input
to managerial attitudes and behaviors toward export-ing. Finally, decisions related to the commitment of
resources to foreign markets will depend on the firms
level of knowledge about opportunities and threats in
those foreign markets (Cavusgil and Zou 1994). The
presence of a foreign market information collection sys-
tem helps reduce uncertainty in the development of
export marketing and thus engenders the developmentof
a more proactive attitude in approaching exporting
opportunities (Souchon and Diamantopoulos 1996).
This requires a greater level of resources committed tothe export activity, as well as a greater propensity andwillingness to keep on committing them in the future.Accordingly, we hypothesize the following:
H4: (a) Firm size, (b) export experience, (c) the
existence of an export department, and (d) theexistence of an information system for foreignmarkets are positively related to exportcommitment.
Marketing-Mix Adaptation and PerceivedPositional Advantages
Similar to other firms, exporting firms overriding goal
is operational survival through securing assets and
growing (Bradley 1984). The literature suggests that a
firms capability to achieve and sustain positional
advantages is closely linked to the efficient and effectiveexecution of a planned export marketing strategy
(Sousa, Martinez-Lopez, and Coelho 2008). Specifically,
when marketing-mix strategies are coaligned with
export venture idiosyncrasies, positive outcomes can be
expected for the firm (Cavusgil and Zou 1994).
Although the appropriateness of marketing-mix adapta-
tion rests on antecedent conditions (e.g., within the
structureconductperformance paradigm), appropriate
adaptations across exporting operations may be
unavoidable. For example, pricing adaptations can fol-
low differences in diverse factors such as marketing
objectives, competitive policies, inflation rates, and gov-ernment policies (Theodosiou and Leonidou 2003).
Indeed, appropriate levels of adaptation may vary across
marketing-mix components. That being said, Morgan,
Kaleka, and Katsikeas (2004), OCass and Julian (2003),
and several other authors argue that by developing a dif-
ferentiated marketing strategy tailored to the venture
context, exporters can build superior value offerings in
the sense that they meet local consumers needs more
closely. Therefore, we hypothesize the following:
H5: Marketing-mix adaptation is positively related
to perceived positional advantages.
Antecedents of Marketing-MixAdaptation
Effect of EMO on Marketing-Mix Adaptation. Firms
with a strong EMO will be more active in their search
for, and better able to identify and take advantage of,
opportunities emerging in overseas markets than firms
lacking this capability. The generation of knowledge
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about foreign markets can effectively reduce the levels ofuncertainty and risk associated with export activity.Knowledgeable firms should behave more proactivelyand confidently in adapting to the desires and needs ofeach national market (Racela, Chaikittisilpa, andThoumrungroje 2007). Specifically, firms that have rele-vant information about their foreign markets are likely
to be more willing to make adaptations to their prod-ucts, prices, promotions, and so on, than other firmsthat lack such information and make their decisions onthe basis of intuition (Cadogan and Diamantopoulos
1995). Therefore, we hypothesize the following:
H6: EMO is positively related to marketing-mix
adaptation.
Effect of Specific Export Capabilities on Marketing-Mix
Adaptation . Exporting firms recognize that the idiosyn-
crasies of their foreign markets might force them to make
some adaptations to marketing-mix strategies to fit thecharacteristics of each market more closely and reduce
foreign consumers psychological distance (Leonidou,
Katsikeas, and Samiee 2002). The aim is to achieve a
proximity to foreign customers at least comparable to
traditional suppliers. To this end, it is pivotal that an
exporter knows its foreign markets well and accesses and
processes up-to-date information about these, as well as
about general international trends (Katsikeas, Piercy, and
Ioannidis 1996). Thus, the firm should employ prag-
matic procedures for collecting and appraising export
market information; its managers should remain in con-
tinuous contact with its foreign markets, have educa-
tional backgrounds pertaining to international business
and foreign trade techniques, and be fluent in foreign
languages (Bello and Gilliland 1997; Styles and Ambler
1994). Therefore, we hypothesize the following:
H7: Specific export capabilities are positively
related to marketing-mix adaptation.
Resources and Capabilities
Effect of Specific Export Capabilities on EMO. Export
firms competitive strategies are planned patterns of
resource and capability deployment that support choices
about how the firm will compete for target customers
and achieve desired goals (Cavusgil and Zou 1994). Bet-
tis and Prahalad (1995) indicate that firms within the
same environment and with similar resources could take
different decisions and compete in different ways
because of their different capabilities. We posit that
firms could capture, process, and use information to
compete in export markets differently. Assuming that itis more difficult to adopt a market orientation in foreignmarkets than in the home market because the environ-ment is more complex and the information is less avail-able and accessible, we speculate that specific exportcapabilities are necessary to facilitate the firms exportmarket-oriented activities (Rose and Shoham 2002).
Therefore, we hypothesize the following:
H8: Specific export capabilities are positively
related to EMO.
Effects of Resources on EMO. Behaving in a market-ori-
ented way requires considerable resource investments,
especially in the context of exporting (Cadogan, Diaman-
topoulos, and Siguaw 2002). As such, firm size may con-
dition the ability of the firm to obtain, interpret, and use
the information coming from foreign markets. For exam-
ple, Armario, Ruiz, and Armario (2008) report that
smaller exporters routinely fail to access potentially use-ful export information sources. Likewise, Francis and
Collins-Dodd (2000) point out that the amount of
human, financial, and management resources derived
from firm size has a notable influence on export orienta-
tion. Researchers have also noted that as organizations
become more experienced within their foreign markets,
their knowledge of and familiarity with export markets
increase (Diamantopoulos, Schlegelmilch, and Tse 1993).
Similarly, because knowledge is a function of experience,
in inexperienced firms, it is likely that key organizational
members may not be sufficiently knowledgeable about
the intricate details regarding export operations: If rele-vant information is not recognized as such, it is unlikely
to be passed along communication corridors (Cadogan
and Diamantopoulos 1995). Thus, experiential and infor-
mational resources are essential antecedents of EMO.
Finally, the existence of a specific structure for exporting
(i.e., an export department) improves export coordina-
tion within the firm and increases its degree of
orientation toward foreign markets (Cadogan et al. 2001).
Therefore, we hypothesize the following:
H9: (a) Firm size, (b) export experience, (c) the
existence of an export department, and (d) theexistence of an information system for foreignmarkets are positively related to EMO.
Effects of Resources on Specific Export Capabilities.
Resources also serve as inputs to specific export capabil-
ities. In this context, the probability of developing train-
ing programs in the export business and having man-
agers and staff with capabilities required to develop
export market operations successfully will be greater in
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larger than smaller firms (Gomez-Mejia 1988). Thus,we expect larger firms to exhibit greater capabilities todevelop exporting activities. Furthermore, becauseknowledge is a function of experience (Johanson andVahlne 1977), experience is a primary source of organi-zational learning. Thus, export experience will helpdefine and shape specific managerial capabilities
required for the successful development of exporting(Aaby and Slater 1989; Zou and Stan 1998). Prior
research (e.g., Donthu and Kim 1993) has also indicated
that the existence of a specific structure to support
exporting should contribute to the development of spe-
cific capabilities needed to be successful in export mar-
kets. Finally, the availability of a system to collect infor-
mation about foreign markets potentially abets
managerial capabilities because this provides manage-
ment with a continuing flow of information about con-
sumers needs, expectations,and satisfaction levels
(Katsikeas,Piercy, and Ioannidis 1996). Accordingly, we
hypothesize the following:
H10: (a) Firm size, (b) export experience, (c) the
existence of an export department, and (d)the existence of an information system forforeign markets are positively related to spe-cific export capabilities.
EMPIRICAL STUDY
Data Collection
We performed an empirical study of Spanish export
firms. The sample is representative of the population of
exporters whose headquarters are in Spain. With regard
to the activity of Spanish export firms in general, data
from the Ministry of Industry, Tourism and Commerce
(2008) reveal a strong concentration of export activity in
a small number of firms (1% of the exporters gener- ate
64% of total exports) and a strong geographic con-
centration in the foreign markets (70% of the exports
go to other European Union countries). The main sec-
tors are capital goods (22%), automobiles (18%), and
food (14%). The bulk of Spanish exporters qualify as
small firms (84%) (De Lucio, Mnguez, and lvarez
2007), and the majority have an export department(51%) and employees with education in international
trade (71%) (Alonso and Donoso 1998).
After we built and refined the export firm data, the total
population consisted of 1734 firms. We used a multi-
industry sample to increase observed variance and rein-
force the generalizability of the findings (Morgan,
Kaleka, and Katsikeas 2004). The data were collectedthrough personal interviews with the export managersof 150 firms selected at random (sampling error:
7.65%). The majority of the sample firms were small
(68% with fewer than 50 employees) and allocated a
small number of employees to export-related tasks
(81% with fewer than 5 export-related employees).
More than half (59%) had assigned export managers,
though a minority (33%) had an export department.
Most firms had a great amount of experience in their
business (66% with more than 16 years in their sector),
but firms with a great amount of experience in inter-
national business were a minority (59% with less than
10 years of exporting). Finally, the majority of sample
firms had a strong concentration of export sales in few
markets (93% exported to five or fewer countries).
We selected a single key informant in each firm to com-
ment on its export activity. Use of a knowledgeable,
single key informant can reduce the potential for sys-tematic and random sources of error (Huber and Power
1985). To ensure the reliability of the data source, we
required the respondents to be senior managers with a
responsibility for exporting. A specific section of the
questionnaire asked respondents for their job title and
assessed their competency in terms of knowledge of,
involvement with, and responsibilities in exporting.
High scores on the competency questions indicated that
potential sources of measurement error attributable to
the key informant were minimized.
Variable Measurement
We used reflective and formative measurementperspec-
tives to capture the study constructs. It is important that
research involving latent variables measured using dif-
ferent manifest indicators define the type of relation-
ships established between variables and indicators. Con-
ventional measurement practice in marketing and
business research is based on reflective measurement,in
which observed measures (i.e., indicators) are assumed
to reflect variation in latent constructs. The direction of
causality runs from the construct to the indicators, and
thus we expect changes in the construct to be evident inchanges in all indicators constituting the scale (Edwards
and Bagozzi 2000).
An alternative measurement approach uses formative
indicators, which are assumed to cause variation in the
construct. In other words, the indicators form or deter-
mine the construct, and the latter is modeled as a (typi-
cally linear) combination of its indicators plus a distur-
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bance term (Bollen 1989). Although several studiesdevoted to formative measurement exist (e.g., Diaman-topoulos and Siguaw 2006; MacKenzie, Podsakoff, andJarvis 2005), the properties, advantages, and limitationsof formative measures still seem misunderstood. Indeed,theorists (e.g., Jarvis, MacKenzie, and Podsakoff 2003;Podsakoff, Shen, and Podsakoff 2006) assert that meas-
urement models in prior studies often are misspecified(i.e., they assume a reflective structure when a formative
approach should have been adopted),probably because of
researchers lack of familiarity with formative meas- ures
(Diamantopoulos 2008).
Using a formative approach is particularly attractive
when building measures for highly complex constructs,
of which the current study has several. We based the
measurement perspectives developed for our multi-item
measures on MacKenzie, Podsakoff, and Jarviss (2005)
recommendations for distinguishing formative and
reflective variables. We
captured perceived positionaladvantages, marketing-mix adaptation, and specific
export capabilities as first-order formative constructs.
For these, each item is related to a specific aspect of the
measured construct, so they are not interchangeable
(e.g., competitive advantage in costs does not necessarily
confer advantage in distribution). We treated EMO as a
second-order formative construct (Cadogan, Kuiva-
lainen, and Sundqvist 2009; Cadogan, Souchon, and
Procter 2008), with three reflective dimensions (i.e.,
export intelligence generation, export intelligence dis-
semination, and export market responsiveness). We
considered export commitment a second-order reflec-
tive construct with two reflective dimensions (i.e., cur-
rent export commitment and anticipated export
commitment).
We captured current export commitment and antici-
pated export commitment on four- and three-item
scales, respectively, modified from prior scales and
theory (Cavusgil and Zou 1994; Donthu and Kim
1993). We measured perceived positional advantages in
foreign markets on a six-item scale based on Albaum
and colleagues (2003) work. We captured marketing-
mix adaptation using four items that tap adaptation to
product, price, distribution, and promotion strategies(Theodosiou and Leonidou 2003). We measured each
dimension of EMO using three-item scales based on
Cadogan, Diamantopoulos, and De Mortangess (1999)
work. We assessed specific export capabilities using
three indicators modified from Julien and Ramangalahy
(2003), Leonidou, Katsikeas, and Piercy (1998), and
Morgan, Kaleka, and Katsikeas (2004). Finally, we cap-
tured the resources considered through single items:
firm size, in terms of number of employees (Bonaccorsi
1992); the firms export experience, measured by num-
ber of years exporting; the existence of a structure
specifically dedicated to the export activity in the firm,
namely, the export department (Jain 2002); and the
availability of a system for collecting information about
foreign markets (Styles and Ambler 1994). The Appen-
dix disclosesour measures.
Data Analysis
After building the different scales and obtaining the cor-
responding information, next we analyzed the data. We
tested the hypotheses using partial least squares (PLS)
because of the characteristicsof the model and sample.1
Because PLS models are analyzed and interpretedin two
stages (Barclay, Higgins, and Thompson 1995), we eval-
uated the measurement model first and then the struc-
tural model. This sequence ensured that the measures ofthe constructs were valid and reliable before we
attempted to draw conclusions about the relationships
among the constructs.
Because of the characteristics of the conceptual model
being analyzed, several considerationsshould be noted.
When analyzing the second-order constructs, it should
be remembered that this work considers molar or
molecular models rather than multiple regression mod-
els (Chin and Gopal 1995). The difference between a
molecular and a molar model is that the former shows
each first-order construct as a separate dimension, andthe set of such constructstogether representsthe second-
order construct, whereas the latter does not take into
account the interdependencies between the variables,
with the first-order constructs acting as formative fac-
tors or variables (Chin and Gopal 1995). The latter case
corresponds to the proposed model. However, building
a second-order structural model also requires a two-step
process. The first step involves estimating the model
with the indicators of the first-order factors, and the
second involves adding all these previous indicators as
indicators of the second-order factor (construct) as well.
This method is known as the hierarchical componentmodel (Wold 1979).
For the constructs with reflective measures, researchers
may examine the loadings to refine the scales. Item reli-
ability is considered adequate when the loading on its
respective construct is greater than .70 (Carmines and
Zeller 1979). Still, researchers have argued against the
rigid enforcement of this rule of thumb (Barclay, Hig-
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gins, and Thompson 1995; Chin 1998). Thus, we leftreflective items that did not meet the threshold in themodel only if the rest of the reliability criteria (e.g., com-posite reliability) were fulfilled. In particular, the load-ings (.89 and .81 for current and anticipated exportcommitment, respectively) support the second-orderexport commitment structure. We assessed composite
reliability using Nunnallys (1978) benchmark of .80 forbasic research. Our reflective scales met this standard.The average variance extracted (AVE) values exceededthe minimum value of .50 that Fornell and Larcker
(1981) recommend, supporting the convergent validity
of the reflective constructs.
Finally, to assess the reflective constructs discriminant
validity, we checked that the AVE did not exceed the
variance shared with any other construct in the model
(i.e., the squared correlation between the two con-
structs) (Barclay, Higgins, and Thompson 1995). The
reflective constructs met this condition (see the correla-
tion matrix in Table 1). Furthermore, that construct
intercorrelations were significantly different than 1 for
all the study variables provides additional evidence of
discriminant validity.
To validate our formative measures, we followed recom-
mendations in the formative measurement literature
(Diamantopoulos, Riefler, and Roth 2008). To fully cap-
ture the meaning of a formative construct, a census of
indicators is required because omitting an indicator is
omitting a part of the construct (Bollen and Lennox
1991). Therefore, we took the view that omitting indi-
cators is equivalent to curbing the domain of the con-struct (MacKenzie, Podsakoff, and Jarvis 2005). More-
over, a major concern in estimating formative constructs
is multicollinearity. Variance inflation factors (VIF)
should be less than 5 to be able to retain a construct forthe model (Diamantopoulos and Winklhofer 2001). Forthe current study, no variable exceeded 5 in the VIF,either in the first step of the second-order model or inthe definitive second-order model.
Advantages in promotion (weight = .54), costs (weight =
.37), and human resources (weight = .33) were the form-ative dimensions that contributed most to perceived
positional advantages, and strategic decisions about
adapting promotion (weight = .72) and price (weight =
.44) were the dimensions that contributed most to
marketing-mix adaptation. In the formation of EMO
activities, the main contributors were the dimensions
export intelligence generation (weight = .62) and export
market responsiveness(weight = .50). Likewise, the con-
struct specific export capabilities was well explained by
its formative indicators. Table 2 summarizesour meas-
ure validation results.
With the validity of the model confirmed, we next tested
the stability of the structural model estimates (see Table
3). We used a bootstrap approach (1000 subsamples) to
generate standard errors and statistics. We determined
support for our hypotheses by examining the sign and
significance of the t-values for each corresponding path.
The results show that export commitment was posi-
tively linked (= .27,p < .01) to the achievement of
positional advantages in foreign markets, in support ofH1. The results reveal three drivers of export commit-
ment, accounting for an explained variance for thisdependent variable of 47.4%. Specifically, EMO (=
.36,p < .01, in support of H2), specific export capabili-
ties (= .25,p < .01, in support of H3), and export
experience(= .13,p < .05, in support of H4b) had a
Table 1.Correla tionsBetwee n Con structs
1 2 3 4 5
1. Export commitment .85
2. Perceived positional advantages .42 N.A.
3. Marketing-mix adaptation .31 .55 N.A.
4. EMO .60 .42 .43 N.A.
5. Specific export capabilities .58 .36 .32 .62 N.A.
Notes: The bold number on the diagonal is the square root of the AVE; off-diagonalelements are correlations among constructs. N.A. = not applicable.
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Table 2.MeasurementModelResults
Composite
ReliabilityCONSTRUCT /Dimension/Indicator VIF Weight Loading (
c) AVE
EXPORT COMMITMENT(second-orderreflective construct) .84 .73
Current Export Commitment(first-order reflective construct) .89 .85 .58
COMM 1 .75
COMM 2 .72
COMM 3 .84
COMM 4 .73
Anticipated Export Commitment(first-order reflective construct) .81 .95 .85
COMM 5 .92
COMM 6 .93
COMM 7 .92
PERCEIVED POSITIONAL ADVANTAGES(first-orderformativeconstruct) N.A. N.A.
ADV1 1.17 .03
ADV2 1.54 .17
ADV3 1.89 .23
ADV4 1.99 .54
ADV5 2.19 .33
ADV6 1.70 .37
MARKETING-MIX ADAPTATION (first-orderformativeconstruct) N.A. N.A.
PROD 2.42 .04
PRIC 2.02 .44
DIST 2.31 .05
PROM 1.65 .72
EMO (second-orderformativeconstruct) N.A. N.A.Export Intelligence Generation (first-order reflective 1.46 .62 .92 .80construct)
GEN1 .77
GEN2 .94
GEN3 .94
Export Intelligence Dissemination (first-order reflective 1.41 .10 .92 .78construct)
DIS1 .85
DIS2 .52
DIS3 .74
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Table 2.Continued
Export Market Responsiveness(first-order reflective construct) 1.28 .50 .93 .82
RESP1 .91
RESP2 .81RESP3 .60
RESOURCES
S ize 1 1 1 1
Export experience 1 1 1 1
Export department 1 1 1 1
Information system 1 1 1 1
SPECIFIC EXPORT CAPABILITIES(formativeconstruct) N.A. N.A.
CAP1 1.73 .50
CAP2 1.84 .51
CAP3 1.82 .22
Notes: N.A. = not applicable.
positive influence on export commitment. In contrast,
the bulk of the resourcesthat is, firm size (=.01,p
> .05), export department (= .13,p > .05), and infor-
mation system (= .01,p > .05)were not determinants
of export commitment. Thus, H4a, H4c, and H4d cannot
be accepted. Marketing-mix adaptation linked strongly
to positional advantages ( = .47,p < .01), which con-firms H5. Taken together, the formative measures,
export commitment, and marketing-mix adaptationexplained 39.2% of the variance in perceived positionaladvantages.
The formative measures and structural relationshipsaccounted for 19.2% of the variance in marketing-mixadaptation. The results show that EMO was positively
associated( = .36,p < .01) with marketing-mix adap-
tation, confirming H6. However, contrary to H7, specific
export capabilities were not linked to marketing-mix
adaptation (= .10,p > .05).
The explained variance for EMO was 44.9%. In addi-tion to the formative dimensions, two elements wererevealed as key antecedents of EMO. First, specific
export capabilities influenced EMO activities (= .39,p
< .01), confirming H8. Second, the resource related to
organized foreign market research (i.e., an information
system) linked positively (= .32,p < .01) to EMO, in
support of H9d. The other three resourcesfirm size
(=.04,p > .05), export experience (=.02,p > .05),
and export department (= .08,p > .05)had no role
in driving EMO, failing to support H9a, H9b, and H9c.
The formativemeasuresand resource antecedentstogether
explained 46.5% of the variance in specific export capa-bilities. The resources that linked significantly to this con-
struct were the firms export experience(= .16,p < .01)
and information system (= .58,p < .01), in support of
H10b and H10d. However, neither firm size (=.01,p >
.05) nor the existence of an export department (= .06,
p > .05) shaped managerial capabilities required in export-ing activity. Therefore, H10aand H10ccannot be accepted.
Our structural model results imply mediation roles of
export commitment and marketing-mix adaptation in
linking export experience, specific export capabilities,
and/or EMO to perceived positional advantages.Nonetheless, in line with Zhao, Lynch, and Chen
(2010), we reran the analysis to obtain Baron and
Kennys coefficients a (for independent variable
mediator paths), b (for mediatordependent variable
paths), and c (for independent variabledependent
variable paths). The Sobel z-test, applied to our boot-
strap output, confirmed that there is indirect-only medi-
ation (i.e., significant ab, together with nonsignificant
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Table 3.Structu ralM od elRe sults
Path t-Value
Hypothesis Coefficient () (Bootstrap) Support
H1: Export commitmentpositional advantages .27 3.25* * Yes
H2: EMO
export commitment .36 3.79* * Yes
H3: Specific export capabilitiesexport commitment .25 2.37* * Yes
H4a: Firm sizeexport commitment .01 .13n.s. No
H4b: Export experienceexport commitment .13 2.06* Yes
H4c: Export departmentexport commitment .13 1.59n.s. No
H4d: Information systemexport commitment .01 .11n.s. No
H5: Marketing-mix adaptationpositional advantages .47 6.46* * Yes
H6: EMOmarketing-mix adaptation .36 3.20* * Yes
H7: Specific export capabilitiesmarketing-mix adaptation .10 .79n.s. No
H8: Specific export capabilitiesEMO .39 3.65* * Yes
H9a: Firm sizeEMO .04 .43n.s. No
H9b: Export experienceEMO .02 .29n.s. No
H9c: Export departmentEMO .08 1.22n.s. No
H9d: Information system
EMO .32 3.16* * Yes
H10a: Firm sizespecific export capabilities .01 .23n.s. No
H10b: Export experiencespecific export capabilities .16 3.00* * Yes
H10c: Export departmentspecific export capabilities .06 1.02n.s. No
H10d: Information systemspecific export capabilities .58 8.89* * Yes
*p < .05.**p < .01.
Notes: Items marked with superscript n.s. are not significant (based on t (999), one-tailed test).
c effects, atp < .05) of export commitment in the rela-
tionships of export experience, specific export capabili-
ties, and EMO with positional advantage and ofmarketing-mix adaptation in the link between EMO
and positional advantages.
DISCUSSION AND CONCLUSIONS
This study makes several contributions to existing
theory on export marketing strategy management.
First, although the exporting literature has consis-
tently emphasized the criticality of marketing-mix
strategyperformance relationships (Sousa, Martinez-
Lopez, and Coelho 2008), far less is known about
strategy implementationrelated outcomes. The study is
novel in theorizing that managers committed to export-
ing carefully plan the entry and allocate sufficient mana-
gerial and nonmanagerial resources to their ventures.
We extend prior research on the role of export commit-
ment as an organizing structure (e.g., Beamish et al.1999; Cavusgil and Zou 1994) by revealing mediating
mechanisms through which export commitment con-
nects resources and capabilities to positional advan-
tages. As such, export commitment enables firms to
effectively implement resource-led strategy.
In particular, significant recent research has focused on
the relationship between EMO and performance. Stud-
ies (e.g., Cadogan, Diamantopoulos, and Siguaw 2002)
have shown that firms that are market oriented can rec-
ognize and respond to global opportunities more effec-
tively in todays competitive environment. We add to the
emerging understanding of EMO by revealing that
market-sensing capabilities may be leveraged produc-
tively through export commitment.
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Second, prior work (e.g., Lages, Jap, and Griffith 2008)has found that export commitment increases the likeli-hood of success in foreign markets, but our studyassumes a direct link to performance outcomes. To thebest of our knowledge, ours is the first study to test theRBV logic that export commitment is directly linked topositional advantage in export markets. Furthermore,
our RBV framing provides a comprehensive explanationof drivers of export commitment. We show that experi-ential resources, specific capabilities in the developmentof export activity (e.g., skills in languages, training inexport operations, permanent contact with foreign cus-tomers and distributors), and EMO are essentialantecedents of export commitment.
Third, the international marketing literature reveals that
resources are complementary inputs of capabilities (Yal-
cinkaya, Calantone, and Griffith 2007) and that both
are indirect determinants of positional advantages in
foreign markets (Morgan, Kaleka, and Katsikeas 2004).
Our study adds precise new insights to this literaturestream: that firms with greater export experience and
better information systems with respect to foreign
operations can deploy exporting capabilities more effec-
tively (e.g., through export commitment).
Fourth, we juxtapose the general commitment (e.g., Kim
and Frazier 1997) and export commitment (e.g., Lages
and Montgomery 2004) literature streams to develop a
multidimensional conceptualization of export commit-
ment that takes into account current and anticipated
commitment levels. The study results nomologically
validate our unorthodox position that export commit-ment is a manifest behavior and a favorable disposition to
facilitate the development of exporting as an ongoing
course of action (Stump, Athaide, and Axinn 1999).
This study also informs exporting research by emphasizing
methodological features pertaining to formative measure
development. We overcome one of the weaknesses that
Diamantopouloss (e.g., 2008) body of work observes:
that research in the export marketing area is characterized
by the implicit or explicit use of reflective indicators. Few
exporting studies use formative indicators, despite their
superiority for capturing certain complex variables. Ourstudy is novel in analyzing firms export processes using
formative and reflective constructs.
Implications for Management
Managers can use our findings to systematizedecisions
and actions associated with their firms export activity.
Specific implications can be drawn from the study. First,managers should note that export commitment is funda-mental to the success of exporting strategic action: Thisstrategic factor plays a central organizing role in theimplementationof resource-basedstrategy. Export com-mitment mediates the relationships between multipleresources and capabilities and perceived positional
advantages in foreign markets and thus is deserving ofmanagerial attention (e.g., alongside marketing-mixadaptation). In this context, export experience posi-tively affects the human, financial, and managementresources that the firms management is ready to dedi-cate to its export activity; no such effect exists for thefirms size and whether it has an export department andinformation system germane to foreign markets. Like-wise, export commitment increases with the develop-ment of specific export capabilities and EMO or market-sensing activities. In summary, various knowledgeresources and processes of the firm require export com-mitment to translate into managers perceptions of
higher positional advantages in foreign markets.
Second, the firm can satisfy the needs and desires of for-
eign consumers more effectively than its competitors if it
adapts elements of its marketing mix. To this end, we
reveal that EMO is the sole driver of marketing-mix
adaptation, which mediates the pathway between EMO
and positional advantage. Again, it is important that
managers place emphasis on obtaining relevant infor-
mation about the market and enhancing speed of
response to changes in the environment. Both acquiring
and disseminating relevant market information encour-
age the firm to behave more proactively in adapting to
the desires and needs of each export market (Armario,
Ruiz, and Armario 2008).
Third, firms should use their selection and training pro-
grams to ensure that export managers have strong skills
in foreign languages and foreign trade techniques, as
well as a good knowledge of the idiosyncrasies of for-
eign markets. Such specific export capabilities exert
their positive effect on marketing strategy actions indi-
rectly through EMO activities. Information system
resources conducive to foreign market research likewise
serve as input to EMO. Finally, we find that specific
export capabilities are a function of experiential andinformational resources. Taken together, our results sug-
gest that managers should develop and harness experi-
ence and information system resources, rather than firm
size and export department resources, in exploiting
strategic resourcesstrategicactionscompetitiveadvan-
tage linkages.
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Limitations and Future ResearchDirections This study makes novel contributions tothe export mar- keting literature but suffers from
limitations that should constitute the starting point for
further research. First, because the data on the study
constructswere self- reported from a single
questionnaire, the possibility of common methodvariance exists. Following Huber and Powers (1985)
and Podsakoff and colleagues (2003) advice and
bearing in mind that the data could not be obtained
from different sources without great difficulty, we
employed various procedural remedies related to
quest ionnaire design (e.g. , protecting respondent
anonymity, varying scale anchors). Furthermore, we
assessed the possibility of common influence across all
responses using Harmans one-factor test (Podsakoff
and Organ 1986). Using a factor analysis, we identified
no single factor that explained variance across the items.
Of the six factors that emerged (export commitment,marketing-mix adaptation, perceived positional advan-
tages, EMO, specific export capabilities, and resources),
the main factor explained only 36% of the variance.
That no factor explained 50% or more of the variance
indicates that methods bias is unlikely (Podsakoff and
Organ 1986). That being said, we cannot rule out com-
mon method bias completely.
The second limitation involves the studys cross-
sectional nature. The data collected refer to a specific
moment in time, and it would be useful to carry out a
longitudinal study to analyze how strategic modifica-tions to the firm and changes in its business profile
affect its current and future export commitments. A
third limitation involves the sample used, which comes
from a single country (Spain). Although the majority of
empirical studies in the export activity field involve
single-country samples (Leonidou, Katsikeas, and
Samiee 2002), further research using multicountry sam-
ples would reinforce the generalizability of our findings.
Fourth, this study evaluates the adaptation of the mar-
keting strategy to foreign markets by globally consider-
ing price, distribution, promotion, and product ele-
ments. It could be advantageous theoretically and
pragmatically to analyze the degree of adaptation of
each of the marketing-mix elements separately (Lages,
Jap, and Griffith 2008). The fifth limitation is that our
model does not consider many other (e.g., external)
antecedentsof the dependentvariables, such as charac-
teristics of the product being exported (Shoham 1999),
level of competition in and development of export mar-
kets (Lages and Montgomery 2004), type of relationship
between the export firm and its foreign distributors
(Racela, Chaikittisilpa, and Thoumrungroje 2007), and
so on. These additional antecedents might haveimproved the variance explained in the dependent
variables.
Finally, a more complete view of the firms strategic
actions would require an analysis of other marketing
organization characteristics (e.g., pertaining to struc-
tural and task characteristics; Vorhies and Morgan
2003) that may shape export strategy implementation
and other strategic choices (e.g., positioning and market
selection strategies) that may affect positional advan-
tages in export markets (Leonidou, Katsikeas, and
Samiee 2002). Further research could determinewhether export marketing organization fit with export
marketing strategy delivers superior performance
outcomes.
Appendix. Measures
Export Commitment
The following blocks of questions aim to determine your firms commitment to export activity. Please answeron a scale of 17(1 = very low, and 7 = very high).
Current Export Commitment
COMM 1 The level of time and effort our firms management currently commits to export activity is ...
COMM 2 The level of financial resources currently committed to export activity is . ..
COMM 3 The level of human resources currently committed to export activity is ...
COMM 4 Compared to the Spanish market, the resources currently committed to export activity are . ..
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Appendix.Continued
Anticipated Export Commitment
COMM 5 The level of time and effort that the management will be willing to commit to export activity is ...
COMM 6 The level of financial resources that the management will be willing to commit to export activity is ...
COMM 7 The level of human resources that the management will be willing to commit to export activity is ...
PerceivedPositionalAdvantages
Indicate generally your firms competitive position compared to its main rivals in its foreign markets with respect to the follow-
ing concepts, using a scale of 17 (1 = much worse, and 7 = much better).
ADV1 Product differentiation
ADV2 Price
ADV3 Distribution
ADV4 Promotion or communication
ADV5 Human resources
ADV6 Costs
Marketing-Mix Adaptation
The following block of questions aims to find out the extent to which your firm adapts the four marketing-mix variables in its
foreign markets compared to its home market. Please answer on a scale of 17 (1 = not at all, and 7 = substantially).
PROD Product
PRIC Price
DIST Distribution
PROM Promotion or communication
EMO
The following blocks of questions aim to evaluate your firms level of export market orientation, using a scale of 17 (1 =totally disagree, and 7 = totally agree).
Export Intelligence Generation
GEN1 In our firm, we systematically collect information about our foreign markets (needs, desires, level of satisfaction
with our products, etc.).
GEN2 In our firm, we systematically collect information about our rivals actions in our foreign markets (price policy,
product, market segments targeted, etc.).
GEN3 In our firm, we systematically collect information about any changes in our export environment (technologies,
regulations,economic aspects, etc.).
Export Intelligence Dissemination
DIS1 In our firm, there is a fluid communication between the different departments/employeesabout any changes occur-
ring in our export markets (customers, competitors, environment).
DIS2 In our firm, we have regular meetings to discuss the trends and developments in our export markets.
DIS3 In our firm there is a strong collaboration between staff involved in the export activity and the other departments
(R&D, finance, accounting, etc.).
Export Market Responsiveness
RESP1 Our firm tends to respond quickly to changes detected with respect to our foreign customers.
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Appendix.Continued
RESP2 Our firm tends to respond quickly to changes detected with respect to our foreign rivals actions.
RESP3 Our firm tends to respond quickly to changes detected in our export environment.
SpecificExportCapabilities
The following block of questions aims to evaluate managerial capabilities related to export activity, using a scale of 17 (1 =
totally disagree, and 7 = totally agree).
CAP1 Our managers dedicated to exports have strong knowledge of: foreign languages,foreign trade techniques,etc.
CAP2 Our managers with responsibility for exports visit our foreign markets regularly and/or participate regularly in
international trade fairs.
CAP3 Our export managers have a strong knowledge of the values, culture, and customs prevalent in our foreign
markets.
Resources
Firm size Total number of employees in the firm
Export experience Number of years exporting
Export department Firm has export department (yes/no)
Information system Our firm has a system to collect information allowing us to investigate and assess foreign markets (1
totally disagree, and 7 = totally agree).
NOTE
1. For the empirical study, we used the statistics package
PLS-Graph (Chin and Frye 2003).
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