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African Journal of Economic and Management Studies
SOCIAL CAPITAL AND EXPORT PERFORMANCE OF SMES IN
GHANA: THE ROLE OF FIRM CAPABILITIES
Journal: African Journal of Economic and Management Studies
Manuscript ID AJEMS-11-2018-0361.R1
Manuscript Type: Research Paper
Keywords:
Social capital, Marketing capabilities, Innovation Capabilities, Export
performance, SMEs, Ghana
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SOCIAL CAPITAL AND EXPORT PERFORMANCE OF SMES IN
GHANA: THE ROLE OF FIRM CAPABILITIES
Abstract
Purpose – This study seeks to understand the direct impact of social capital and the influence of
market-based capabilities as intervening variables on the export performance of SMEs in Ghana.
Design/methodology/approach – Questionnaire-based survey was used to collect data from top
executives and senior managers of exporting companies in Ghana. Data obtained was analysed
using the Structural Equation Modeling (SEM).
Findings – The findings revealed that social capital of SMEs exert the greatest influence on their
export performance. Innovation and marketing capabilities are also key drivers of export
performance among SMEs as they fully mediate the social capital-export performance
relationship. Notwithstanding, marketing capabilities, appear to exert a greater influence than
innovation capabilities on the export performance of SMEs.
Research limitations – The study used perceptual measures of international performance by
managers of SMEs in the Ghanaian exporting sector making it difficult to determine respondent
bias.
Practical implication – Managers of exporting firms should build stronger relationships with
their customers and suppliers who contribute significantly to their export performance. SMEs
would also have to hone their innovation and marketing skills as strategic components in
enhancing their export performance.
Social implications – Market based resources such as marketing and innovation should not be
taken for granted by SMEs in the export business.
Theoretical implication – Theoretically, while the findings offer strong evidence reinforcing the
DC Theory, an exploration of the nexus of the theories brings to the fore the need to reassess the
RBV and SC theories.
Originality – The study offers some lessons on how small firms can sharpen their marketing and
innovation capabilities to derive export performance benefits from social capital.
Keywords – Social capital, Marketing capabilities, Innovation Capabilities, Ghana
Paper type – Research
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1. Introduction
Firms have undertaken cross-border activities for over centuries. Yet the unpredictable business
environment, technological growth and accelerated globalisation have created an even greater
need for not only large but, to a higher extent, smaller firms to seek business opportunities across
borders. Internationalisation has therefore become an essential strategy that all businesses may
have to pursue (Fernández and Nieto, 2005) and a valuable tool for expansion and growth in
organisations (Graves and Thomas, 2008). Exporting has been identified as an attractive foreign
market entry and expansion mode of internationalisation, particularly for firms whose economic
conditions in their local markets are not too favourable (Hultman et al., 2009). Indeed, the
increase in sales and improved profitability among small firms has been linked to earnings from
exports (Lages and Montgomery, 2004).
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Small and Medium-sized Enterprises (SMEs) are typically regarded as resource-constrained
compared to large corporations, thus limiting the possibilities of taking advantage of
opportunities in foreign markets (Lu and Beamish, 2001). Even though they possess less tangible
and financial resources than large multinational corporations (Knight and Kim, 2009), lately the
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internationalisation trend for smaller firms has been on the ascendancy. Pinho (2011) opines that
SMEs could still be successful if they accessed valuable and rare resources through social
network relationships. Early researchers such as Penrose (1959) first recognised the importance
of resources, contending that a firm consists of a collection of productive resources and whose
growth depends on the manner in which its resources are deployed. The key role of resources in
the exploitation of opportunities in foreign markets has been espoused by international marketing
scholars (Peng et al., 2009), particularly in successful export ventures of SMEs (Kaleka, 2012;
Tseng et al., 2007; Lu and Beamish, 2001). Several studies have outlined performance
challenges SMEs face due to resource constraints, particularly in relation to their size (Acquaah
and Eshun, 2010). Meanwhile, social capital, derived from social networks, is considered one of
the critical resources that a firm can develop to enhance its competitive advantage and reap
above-average rates of return (Chrisholm and Nielsen, 2009). For some scholars (Ellis, 2010)
social capital, which is rooted in inter-firm relationships and managerial ties constitutes a vital
resource. SME export performance has been studied from a number of perspectives including the
macro and micro levels of success (Zou and Stan, 1998). Research at the macro-level has
assessed policies and programs at the national level, where governments the world over support
SMEs to improve their export performance leading to economic growth (Zou and Stan, 1998).
Micro-level export performance among SMEs has probably received the most attention by
researchers. Zou and Cavusgil (1996) confirm this subject as one of the most widely studied in
export marketing. Examples include Ayob and Freixanet’s (2014) study of management’s
perception of usefulness of export promotion programmes in Malaysia, which confirmed that
exporting SMEs perceive export promotion programs as more useful than non-exporting SMEs.
A number of studies exist in Ghana on the export performance determinants at the micro-level
(e.g. Abban et al., 2013; Hinson and Sorenson, 2006; Robson and Freel, 2008). Similar studies
within the Ghanaian context (e.g. Adu-Gyamfi et al., 2013; Abor and Quartey, 2010) have
attributed challenges SMEs face in exporting to foreign markets to internal constraints such as
finance, information asymmetry as well as the lack of export experience, commitment and
resources.
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While evidence abounds about the varying contributions of social capital and firm-specific
capabilities to the export performance of small firms, there is relatively little research on how
firms from emerging markets employ their capabilities in leveraging social capital to enhance
their growth and profitability (Sheth, 2011). Additionally, anecdotal evidence suggests the direct
influence of capabilities (Morgan, 2012); marketing capabilities (Wu, 2013); innovation
capabilities (Rubera and Kirca, 2012) and social capital (Lu et al., 2010) on firm performance.
However, literature covering marketing and innovation capabilities as influencers of firm
performance remains quite fragmented as some focuses on understanding customer needs (Soh,
2003); innovation processes (Lee, Lee and Pennings, 2001) and adaptive capacity (Lu et al.,
2010). Even though extant research in marketing and strategy has covered the concept of marketbased capabilities, there still remains a lacuna in studies identifying the differential impact of
these capabilities (e.g. marketing mix versus innovation) on the performance of firms at different
stages of export (Yeniyurt, Cavusgil and Hult, 2005). This argument echoes contentions that a lot
still remains to be uncovered about the direct relationship between market-based capabilities and
superior export performance (e.g. Zou, Fang and Zhao, 2003). Researchers (e.g. Abban et al.,
2013; Hinson and Dadzie, 2011) have therefore proposed that beyond the social context,
marketing practices among SMEs should be examined towards enhancing enterprise
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development. Therefore, given the rapidly increasing complexity of the environment in which
SMEs conduct their business (Garcia et al., 2012), it is imperative that research is conducted
towards identifying key resource combinations that will not only result in superior export
performance but will also enhance both academic and industry knowledge.
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2. Literature Review and Hypotheses Development
Globalisation, coupled with technological advances and trade liberalisation, has led to an
increase in export activities (WTO, 2008), with firms increasingly looking beyond their
traditional domains and expanding into export markets to develop and enhance their
competitiveness (O’Cass and Julian, 2003). Research has demonstrated that small firms improve
their competencies and capabilities in management from participation in export markets (Griffith
and Hoppner, 2013). Indeed, Rankin et al., (2006) have associated weak domestic markets and
stagnated growth in Sub-Saharan Africa (SSA) with the non-participation of firms in export
markets. Katsikeas et al. (2000) also justify these calls by advocating for firms to intensify their
export drive in order to expand their portfolio of customers and offer companies realistic
opportunities for growth. From the perspective of emerging economies, researchers (Kuada,
2007) have suggested an internationalisation strategy for African countries to surmount
challenges they face from the absence of adequate domestic markets. To this effect, there has
been a strong advocacy for African governments to enact policies in support of the export
initiatives of small enterprises to enhance socioeconomic development in their nations (Ibeh et
al., 2012). Furthermore, firms from emerging economies have been exposed to greater
opportunities in today’s global markets (Bruton et al., 2003; Luo and Tung 2007), thus attracting
significant interest, particularly in the international marketing arena. This has resulted in a lot
more enterprises undertaking international expansion through exporting to reach out to foreign
markets (Ibeh et al., 2012).
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Export performance research has evolved throughout the decades with experts adopting new
approaches to determining export success. This stems from an increased research interest in
macro and micro-level factors associated with export development (Kahiya and Dean, 2014).
International marketing research has however typically focused on promotional and distribution
strategies employed by large well-endowed firms from developed economies to service
international markets (Griffith et al., 2008; Douglas and Craig, 2006). Emerging economy
contexts therefore pose a challenge to the efficacy of business models and theories which have
been applied in developed economies with relatively stable and efficient markets (Wright et al.,
2005). In this regard, scholars (see Meyer and Peng, 2005; Hoskisson et al., 2000) have
reassessed the robustness of theories and frameworks that examine the strategic challenges
businesses face in emerging economy contexts.
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Extant research has significantly employed framework-based and model-based approaches in
studying export performance (Beleska-Spasova et al., 2012; Kaleka, 2012; Tseng et al., 2007).
Even though some theories of competitive advantage have been employed in understanding
export performance, international marketing experts (Morgan et al., 2004) have called for a
broader theory base that better explains the concept by bringing together findings in a more
cohesive manner. Eriksson (2014), Prange and Verdier (2011) and Knudsen and Madsen (2002)
have put forward strong arguments calling for new insights to be drawn through the investigation
of SME export operations from a dynamic capabilities’ perspective. Additionally, there have
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been calls for exploring the relationship between resources rooted in the firms’ networks and the
dynamic capabilities that would enhance their performance on the market (Chrisholm and
Nielsen, 2009; Okpara, 2009).
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2.1 Social Capital
Social capital has been classified under three broad dimensions: structural; relational and
cognitive (Lee, 2009). Antoldi, Cerrato, and Depperu (2011) distinguish between structural,
relational and cognitive social capital as follows: the structural dimension relates to patterns of
connection between actors (i.e. the number and kinds of actors involved; presence or absence of
direct ties between specific individual actors, network density, connectivity and hierarchy and
the stability of ties between nodes). The relational dimension deals with the behavioural aspects
of the network such as trust and trustworthiness, obligations and expectations. Within this
framework, the entrepreneur develops direct relationships through a history of interactions from
which information and resources are leveraged. This view involves many aspects of social
context such as social interactions and the degree of trust in the relationships (Nahapiet and
Ghosal, 1998). Lee (2009) links relational social capital to the normative conditions and best
practices that guide the individual actor’s relations. The normative conditions of trust, obligation,
and expectations have been identified as the main components of relational dimensions (Lin and
Si, 2010). Finally, the cognitive dimension of social capital focuses on the meaningful contexts
of communication among and between actors (Nahapiet and Ghoshal, 1998), which facilitate the
exchange of information, knowledge and resources (Kang, Morris and Snell, 2007). Some
studies have situated social capital within the framework of intra-institutional relationships (e.g.
Peng and Luo, 2000). Institutional capital that has been listed as contributing positively to export
performance are governmental export agencies, participation in international fairs and
exhibitions, close client relationships, as well as links with associations (Abban et al., 2013;
Pinho, 2011; Panayides, 2006). Other studies have focused on government interventions (e.g. Lu
et al., 2010; Wilkinson and Brouthers, 2006; Czinkota, 2002). Other experts (e.g. Lu et al., 2010)
have approached the concept of social capital from the angle of managerial ties. Atuahene-Gima
and Murray (2007) distinguish between two types of managerial ties from which
internationalising enterprises derive their social capital: domestic-country ties and foreigncountry ties. Peng and Luo (2000) break down managerial ties into variables such as
relationships with buyers, suppliers, governmental agencies, and competitors. Sandefur and
Laumann (1998) on the other hand relate managerial ties to goodwill drawn from family, friends,
workmates and other acquaintances that provide a range of valuable resources including
information, influence and solidarity. The individual-level social capital embedded in
entrepreneurs' personal networks may importantly influence small firm performance (Stam,
Arzlanian, and Elfring, 2014). Furthermore, the impact of other factors such as political and
socio-cultural environments is context-specific in the measurement of social capital. Indeed,
within the same cultural context, social capital has been operationalised variously as
business/firm networks (Abban et al., 2013), while others include family and friend networks
(Acquaah, 2007).
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Empirical literature on the impact of networking on SME performance has produced mixed
results. For instance, Thrikawala (2011) found that an SME’s engagement in various networks
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positively impacted its performance. Similar findings were made by Watson (2007) that SMEs
involved in networking recorded a higher performance and longer survival rate. Rowley et al.
(2000) on the other hand discovered a negative association between networking and performance
among SMEs. Notwithstanding Rowley et al. (2000) findings, literature abounds with positive
associations between social capital and the performance of small firms (Stam et al., 2014).
Indeed, some experts (see Kocak and Edwards, 2005; Chetty and Holm, 2000) have attributed
the survival of SMEs to an amalgamation of relationships in the form of collaborations, cooperations and alliances with industry, government and other SMEs. This was corroborated by
Westhead et al. (2004) whose study associated the performance of metropolitan exporters with
their close proximity to industry associations. There is also growing evidence to suggest that
very few enterprises, specifically SMEs, can innovate in isolation as compared to firms that
engage in cooperation activities (Freel and Harrison, 2006). For instance, some scholars (see
Doherty and Terry, 2013; Khan and Ede, 2009) have proposed that small enterprises explore
other sources outside of their domain which may present unique advantages for their
development. Benefits accruing from the network of small enterprises include the identification
of new business opportunities, access to resources below the market price, and securing
legitimacy from external stakeholders (Stam et al., 2014).
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The role of inter-firm partnerships (strategic alliances) and their impact on firm performance has
also gained significant attention in firm performance research (Huizingh, 2011), particularly the
link between SME network ties and performance. Dickson et al., (2006) aver that such strategic
alliances with prominent industry players may signify the quality of the new firm’s activities and
products. In cases where an unknown venture must compete with established local or
multinational players on the international front, such strategic alliances have been found to be
important. In the case of young enterprises, strategic alliances have granted access to resources
that would otherwise have taken years to build, thereby buffering a firm from the hazards of
young age (Lee et al., 2012). Carlos (2011) points out that in order to develop new capabilities to
cope with turbulent and unpredictable markets, SMEs need to leverage their social
relationships/ties that provide access to novel sources of information. Tomlinson and Fai (2013)
for instance, identified the strength of cooperative ties across a range of productive activities
within the value chain as important facilitators of SME innovative capability for both product
and process innovation. These strengthen the capabilities of SMEs to derive benefits which are
often the preserve of larger firms and associations (Zeng et al., 2010). In view of the above, we
hypothesis that:
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H1: Social Capital has a positive relationship with the Export Performance of SMEs
2.2 Firm Capabilities
The subject of capability development has received significant attention in strategic management
literature with a number of conceptualizations of what constitutes capabilities (Boateng, 2014).
Some scholars have positioned capabilities in terms of what the firm has (a firm’s existing
possessions and assets) and what the firm does (a firm’s ability to create, coordinate and use
assets) relative to competition and the changing market environments (Lu et al., 2010; Zollo and
Winter, 2008). The dynamic capabilities framework considers the development of firm
capabilities or market-based assets as more important than firm resources (Doole, Grimes, and
Demack, 2006; Sapienza et al., 2006; Morgan, Kaleka, and Katsikeas, 2004; Ibeh, 2003).
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Ultimately, dynamic capabilities ensure that an enterprise not only attains economic survival but
sustains its performance in the face of threats and opportunities in its business environment
(Wang and Ahmed, 2007). Dynamic capabilities are therefore vital to the performance and
survival of firms operating within unstable environments (Montealegre, 2002). To this end, some
frameworks consider marketing and innovation as core capabilities, which when deployed,
ensure sustained competitive advantage for the firm (Lu et al., 2010). The relevance of these
models cannot be overemphasized given that institutions affect export performance not only
directly, but also indirectly through their interplay of internal firm resources and capabilities (Yi,
Wang, and Kafouros, 2013).
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Even though various approaches have been adopted in understanding the importance of small
firms optimizing resources to achieve excellence in export performance, one of the prevailing
paradigms used, particularly in a dynamic global environment, is the Resource-based View
(RBV) of the firm (Barney, 1991; Barney and Clark, 2007) as well as its subsequent extension the Dynamic Capabilities approach (Wang and Ahmed, 2007; Zollo and Winter, 2002). The
RBV is premised mainly on the fact that firms compete on the basis of their resources and
capabilities (Peteraf and Bergen, 2003). The resources are made up of unique bundles of tangible
and intangible assets, which include various skills, capabilities, processes and information within
the control of the firm. Firms possessing such unique resources are expected to outperform their
competitors in a sustainable way (Bowman and Ambrosini, 2007). The RBV thus posits that the
actions taken by a firm should depend on its characteristics, with special focus on those activities
for which it has an advantage and avoid those where it does not. As is the case for most theories
however, the RBT has been criticized with some critics (e.g. Foss et al., 2008; Makadok, 2001)
indirectly proposing amendments to and others directly criticizing it (Spender, 2006; Foss and
Knudsen, 2003). While a number of criticisms of RBV have been addressed to a great extent by
definitional and theoretical refinements (Peteraf and Barney, 2003; Makadok, 2001), a new body
of research that motivated the development of the DC framework was introduced to make up for
some critical shortcomings of the RBV.
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The theory of DC evolved from the DC approach (Teece, Pisano, and Shuen, 1997). For
Montealegre (2002), it is “an extension of the resource-based theory that was introduced to
explain how firms can develop their capability to adapt and even capitalize on rapidly changing
technological environments”. It therefore attempts to highlight the critical role capabilities play
in exploiting resources to achieve SCA (Newbert, 2007). Proponents of the DC approach have
argued that capabilities are dynamic processes that are deeply rooted in organizations, and that
are to a large extent inimitable and non-substitutable (Theodosiou, Kehagias, and Katsikea,
2012; Vorhies, Orr, and Bush, 2011; Fang and Zou, 2009). The dynamic approach to firms’
capabilities involves adapting, integrating and reconfiguring internal and external organizational
skills and resource bases and competencies in order to better adjust to requirements of a
changing environment (McKelvie and Davidsson, 2009; De Toni and Tonchia, 2003). Basically,
the difference between the resource-based and dynamic views lies in the approach to the
resources. The RBV places emphasis on a collection of resources (choice of combination of
resources), whereas the DC view stresses renewal of resources (reconfiguration of resources into
new combinations of operational capabilities).
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A firm’s innovation capabilities have been said to be critical to export marketing (Lages, Silva,
and Styles, 2009) and a core driver of exporters’ international business success (Calantone et al.,
2006). The resource-based framework has proven to be a useful theoretical lens for examining
the potential benefits of innovation capability at the firm level (Terziovski, 2010; Menguc and
Auh, 2006). This theory distinguishes a firm as an idiosyncratic bundle of resources and
capabilities that enable it to achieve competitive advantage and superior performance (Newbert,
2007). Hence, the resource-based perspective considers innovativeness as valuable and
idiosyncratic to firms (Lages, Silva, and Styles, 2009), which may endow businesses with a
competitive edge too costly for rival firms to replicate (Boso, Cadogan and Story, 2013). Various
frameworks have been used in measuring innovation capabilities. For instance, Albaldejo and
Romijn’s (2000) study identifies innovation capabilities as internal processes such as
investments in R&D as well as fostering a creative and learning culture. Thus, companies with
employees who are creative and possess innovation capabilities have been said to achieve greater
successes in the marketplace (Kallio, Kujansivu, and Parjanen, 2012; Hotho and Champion,
2011).
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Export marketing experts have identified innovation as a key export marketing capability that
contributes significantly to the international business success of exporting firms (Lages et al.,
2009; Calantone et al., 2006). Indeed, some scholars (Uner et al., 2013) have suggested that
many “exporters themselves consider the lack of innovativeness as a critical barrier to export
market expansion and business growth”. Researchers (Hughes and Morgan, 2007) have given
empirical backing to the positive influence of innovativeness on firm performance.
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Some benefits have been said to accrue to enterprises exhibiting innovation capabilities in their
internationalisation activities. Contractor et al. (2007) for instance found out that firms with
greater innovation capabilities have successfully expanded, diversified, or differentiated their
operations at the international front. Manova and Zhang (2012) also discovered that firms
exporting a variety of innovative products could employ different pricing strategies in servicing
overseas markets. Moreover, a direct link has been drawn between innovation capabilities and
superior international performance. For instance, Tellis et al. (2009) aver that enterprises with
superior innovation capabilities can enhance their positional advantages by driving consumer
demand. Reputational benefits and the ability to build strong brand equity have been adduced to
firms with superior levels of innovation capabilities that are exhibited through novel products
and services as well as high levels of acceptance by customers rates (Schilke, 2013). In this
regard, some organisational innovation researchers (see Boso et al., 2013) have concluded that
firms with superior levels of innovativeness ultimately generate superior results.
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Some scholars (see Rosenbusch et al., 2011) have actually suggested that the impact of firm
innovation capabilities on performance may be more complex than previously thought, which
presents an opportunity to further explore the innovation capability-export performance nexus.
We therefore hypothesised that:
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H2: There is a positive relationship between innovation capability and export performance of
SMEs
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Marketing capabilities have been operationalised as marketing’s functional processes and valuecreating mechanisms around the classical marketing mix (Morgan, Katsikeas, and Vorhies, 2012;
Atuahene-Gima, 2005; Leonidou, Katsikeas, and Samiee, 2002). The marketing mix
encompasses the product, price, promotional activities and distribution networks. Morgan,
Kaleka, and Katsikeas (2004), in their market-based resources framework operationalised
marketing capabilities as informational, relationship building, and product development
capabilities. Zou, Fang, and Zhao’s (2003) framework also identified distribution, product
development, pricing and communication as core export marketing capabilities.
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Besides the elements of the marketing mix, Leonidou, Katsikeas, and Samiee (2002) identified
market targeting as part of their marketing capabilities determining export performance.
Generally, a similar trend of the marketing mix framework has been applied across other studies
in determining export performance (e.g. Boansi, Odilonkounagbelokonon, and Appah, 2014;
Egyir, Adu-Nyako, and Okafor, 2012; Adjei-Sasu and Agyir, 2010; Ayan and Percin, 2005) even
though some studies labeled the variables differently. Although the four critical elements of the
marketing mix are not exhaustive, Zou, Fang, and Zhao (2003) state that they represent the core
function in the marketing mix that can create superior value offerings for customers in export
markets. This research therefore adopts the elements of the marketing mix in determining the
impact of marketing capabilities on an enterprise’s export performance. Product capability is
conceptualised as the delivery of new or modified products of higher uniqueness that in the long
term allows for better performance (Avlonitis and Salavou, 2007; Marsh and Stock, 2006).
Distribution capability is considered as the exporting firm’s ability to provide superior support to
export distributors and to develop a close relationship with them (Zou, Fang, and Zhao, 2003).
Zou, Fang and Zhao (2003) identify an enterprise’s quick response to competitors’ pricing tactics
as a measure of its pricing capability. Promotional capability is operationalised as the ability of
firms to adapt to foreign markets and target the right customers with effective integrated
marketing communications (Blesa and Ripollés, 2008).
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One of the emerging themes in the export performance literature is the configuration of the
export marketing mix strategies (4Ps) that could yield superior export performance (Morgan et
al., 2012). The 4Ps have served as an effective framework in analysing the impact of firm
capabilities on export performance. Zhou et al. (2003) identified pricing capabilities as the extent
to which an export venture can effectively use and manage pricing tactics to respond to
competitors challenge and customer changes in the export market. Product capabilities have also
received some attention in extant literature which has emphasised the differentiation advantage
new products confer on firms that constantly introduce new products to the market (Tellis et al.,
2009).
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International marketing experts (Newbert, 2007) have actually linked an exporting firm’s
superior performance to its inimitable internal resources and capabilities (Robson et al., 2012). In
this regard, studies such as Thirkell et al.’s (1998) have identified competency issues relating to
technology, R&D, market knowledge, export planning and control as major determinants of
export performance. Morgan et al. (2012) have identified distinctive marketing capabilities as
key drivers of financial and export marketing performance. Other studies (Theodosiou et al.,
2012; Griffith, Yalcinkaya and Calantone, 2010) have lent empirical support to suggest a
positive association between marketing capabilities and export performance. Another set of
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critical marketing capabilities that has boosted internationalisation efforts include international
customer support that positively affects organisational learning and performance (Khavul et al.,
2010). International customer support capability enhances the exchange relationship with the
firm’s most important international customers and captures the learning and performance
outcomes of entry into global markets. In line with the argument by some researchers (e.g.
Morgan, Katsikeas, and Vorhies, 2012) that the firm is better positioned to create and maintain a
competitive advantage as well as reap greater economic benefits by strategically developing and
deploying marketing mix strategies, this study hypothesizes that:
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H3: There is a positive relationship between marketing capability and export performance of
SMEs.
Sirmon et al., (2007) proposed a causal flow of a resource management model, describing a set
of sequential activities through which a firm acquires resources (internally and externally) and
then constructs capabilities that transform those resources into competitive advantages by
providing superior products or services to customers. Lu et al. (2010) built on Sirmon et al.,
(2007) causal flow model by proposing a mediating role of capabilities in the relationship
between resources and international performance. Other models have also drawn primarily from
the resource-based view and its extended dynamic capabilities framework in associating
marketing capabilities with business strategy (Vorhies et al., 2009) as a complementary asset in
driving business performance (Morgan et al., 2012). In this regard, even though enterprises may
gain benefits in exporting from social capital, this study argues that these benefits are better
enhanced through the deployment of marketing and innovation capabilities possessed by the
enterprises. Therefore, it is hypothesized that:
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H4: Innovation capability mediates the relationship between social capital and export
performance.
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H5: Marketing capability mediates the relationship between social capital and export
performance.
3. Research Methodology
The study is guided by the positivist philosophy deemed the most appropriate for this research.
This philosophical paradigm is justified because the research seeks to establish causal
relationships among the predictor and outcome variables. In order to test the objective theories
by examining the relationships among variables (Cresswell, 2009), the quantitative research
approach was adopted as appropriate for this study. Consequently, the survey method was
considered the most appropriate research strategy for the research to allow for the collection and
comparison of systematic data between cases with the same characteristics (de Vaus, 2013). The
survey instrument was a self-administered questionnaire. Operationalisation of the constructs
was adopted from previously available scales in export performance, export marketing as well as
innovation literature and validated by scholars (Lages et al., 2009). Some new scales were also
introduced based on a review of resource-based and dynamic capability theories. Respondents
were required to rank their opinions along a seven-point Likert-scale instrument which ranged
from 1 (Not at all) to 7 (To a very large extent) for data on all the main variables. A pilot study
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was then carried out among thirty (30) export managers of SMEs in Ghana. The pilot study
ensured that the questionnaires were refined (Bryman and Bell, 2015; Saunders et al., 2007).
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The research population is all SMEs undertaking non-traditional export activities in Ghana
continuously for a period of not less than two years. The various institutions – Registrar
General’s Department, Ghana Export Promotion Authority (GEPA), National Board for Small
Scale Industries (NBSSI) and Association of Ghana Industries (AGI) – that manage exporting in
Ghana were therefore approached for databases to provide estimations of the sampling frame for
the research. Other trade associations including the Shea Butternut Exporters Association, Salt
Producers and Exporters Association, Wood and Furniture Producers Association, Travel and
Tour Operators Association, and Association of Garment Producers were contacted. The
databases yielded a total population of 357 exporters who could be sampled. This study adopted
the convenience sampling approach (Saunders et al., 2011). In line with Saunders et al., (2007),
responses were solicited from “key persons” in the organisations. The key informants targeted
for this research included business owners, chief executive officers, managers and executive
assistants (in a few instances) of the exporting firms sampled. Furthermore, business owners
were encouraged to nominate managers involved with the export business as respondents, similar
to Lages et al. (2009). Questionnaires were distributed to 327 available respondents out of the
357 exporters from the database. 297 out of the 327 distributed questionnaires were returned and
used for the analysis of the study. This represents a response rate of 90.8%.
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Two statistical packages – Statistical Package for Social Science (SPSS) version 22.0 and
SmartPLS version 3.2 – were used for this research. Coding and inputting of raw data gathered
from the field was done using SPSS (Bryman and Bell, 2015). Per Kline’s (2005)
recommendation, psychometric analysis was carried out to confirm that the data gathered from
the survey was suitable for further empirical analysis of the measurement model. The partial
least squares (PLS) approach to structural equation modelling (SEM), using the statistical
package SmartPLS 3.2 employed in previous research (Ringle et al., 2014) was deployed for
further analysis. This technique makes it possible to show hypothesised relationships between
dependent and independent variables, whilst making amendments to causal paths to fit the
primary model (Kline, 2005).
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Similar to Pallant (2011), reliability tests were conducted to ensure that the scales used were free
from random error and guaranteed internal consistency. The research instrument was validated in
CFA through the use of Cronbach’s alpha (CA) and Composite Reliability (CR). Since most
constructs were measured using existing scales that had already been subjected to tests of content
validity in previous research (Beleska-Spasova 2014; Boso et al., 2013; Lu et al., 2010;
Atuahene-Gima, 2005), the scales were deemed to have face validity. However, to ensure
robustness of the instrument, the questionnaire was further piloted on a small sample of
respondents to test for comprehension, logic and relevance. Opinions on the overall content of
the instrument were sought from international marketing experts in academia and decisionmakers in exporting SMEs as was done in previous research (Alegre and Chiva, 2013). Construct
validity was also established through an investigation of the relationship of each construct with
other constructs i.e. related (convergent validity) and unrelated (discriminant validity). No
response bias was detected after a split-sample experiment was conducted on the data.
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4. Analysis and Results
Demographic Data
Characteristics of the exporting firms as well as attributes of key respondents are presented in
Table 1. The total sample size is 297 firms, representing 90.8% of the questionnaire distributed
in the survey. The demographic variables in Table 1 represent the gender, educational
qualification and the role of the individual respondents in the SMEs. Table 1 also presents the
industry of business, their membership of an association, ownership profile, statistics on export
experience, firm size, depicted by the number of employees. Generally, the average age of all
participating SMEs is 16.9 years with a standard deviation of 12.7, indicating some considerable
experience in exporting.
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INSERT Table 1: Demographic Attributes of Respondents and Firm Characteristics
Confirmatory Factor Analysis
Measurement scales adopted from literature reviewed for the current study were validated via a
confirmatory factor analysis (CFA) using SmartPLS version 3.2. The structural model may not
be meaningful if it is not established that the measurement model is sufficient and fitting for the
study (Bagozzi and Yi, 2012). The specified theories might have to be modified for testing if the
chosen indicators for a construct do not measure that construct (Bagozzi and Yi, 2012; Jöreskog
and Sörbom, 1996). Hence, the CFA presented in Table 2 was used as an effective tool in
specifying a valid measurement model prior to evaluating the structural model (Hair et al., 2014;
Haenlein and Kaplan, 2004).
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INSERT Table 2: Confirmatory Factor Analysis Results
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Following from Hair et al. (2014), three dimensions of the measurement model were assessed;
reliability, convergent validity, and discriminant validity. Firstly, an examination of parameter
estimates and the reliability of the construct measures were used to establish the internal
structure (Blunch, 2008). Parameters are expected to be significant and in the hypothesized
direction. The principle approach used to assess the measurement model was the variance
extracted measures and the composite reliability measures for each construct (Hair et al., 2006).
The convergent validity of the items was assessed via the loadings and average variance
extracted (AVE) values. Here, items that shared a high degree of residual variance with another,
as well as those whose loadings were below the recommended threshold value (0.7) were
dropped in order to obtain a revised model (Hair et al., 2014). Based on this, a total of eleven
(11) measuring items were dropped from the initial pool of thirty-five (35) measuring items: five
items were dropped from the Social Capital measures leaving five items in the revised
measurement model; three items were dropped from the Marketing Capability measures, leaving
six items; three items were dropped from the Innovation Capability measures, leaving eight
items. All five measuring items for Export Performance met the criteria and were thus retained
for further analysis.
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The revised measurement model now had twenty-four items. It was subsequently observed that
all the loadings for each of the remaining items were above the minimum threshold value of
0.70, thus providing support for convergent validity (Hair et al., 2014). In addition to this, the
AVE values ranging from 0.558 to 0.67 were all above the minimum recommended level of 0.50
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as suggested by Fornell and Larcker (1981), reinforcing the convergent validity for all the
constructs.
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Reliability and Validity
To be certain that the scales used were free from random error and guarantee internal consistency
(Pallant, 2011), reliability tests were conducted. Reliability of each construct was assessed by
calculating the Cronbach’s alphas (CA) and Composite Reliabilities (CR) of the items measuring
the constructs. Reliability is considered acceptable if values for Cronbach's alpha are not less
than 0.70 even though a threshold level of 0.6 could be accepted for exploratory research (Hair et
al., 2006). Inferring from Table 3, the reliability measures of all the constructs were above the
acceptable satisfactory thresholds. All Cronbach’s alphas were greater than the recommended
0.70 value while Composite Reliabilities (CR) were also greater than 0.70 (Bagozzi and Yi,
2012; Haenlein and Kaplan, 2004). The two dimensions were used to assess the internal
consistency for each construct and were deemed meritorious based on the values obtained, hence
satisfying Fornell and Larcker’s (1981) recommended satisfactory reliability measurement levels
(Cronbach’s alphas > .70, Average Variance Extracted > .50, composite reliability > .70). Thus,
the measurement models represented in Table 3 can be considered as the confirmed
measurement for SME Marketing Capability, SME Innovation Capability, SME Social Capital,
and SME Export Performance models within the context of the current study.
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Using the Fornell and Larcker’s (1981) criterion, discriminant validity was also assessed. The
assessment was done by comparing the square root of the AVE values with the latent variable
correlations (Martin, Odekerken, and Oppen, 2009). The results presented in Table 3 did not
exhibit any evidence of strong correlations between constructs. Bold figures on the diagonal are
the square root values of average variance extracted for each construct and the values are distinct
from the rest of the values. As a confirmation of the existence of discriminant validity, it was
observed that for each pair of latent variables the square root of AVE exceeded correlations
between the latent variables (Gerbing and Anderson, 1988).
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INSERT Table 3: Correlation Matrix
Structural Model Test
Following Hair et al.’s (2012) suggestion, an evaluation of the model’s predictive capabilities
and inter-construct relationships was carried out. This was done by initially bootstrapping (2000
re-sample) to assess the significance of the path coefficients along with the value of the t-statistic
via the PLS-SEM algorithm (Henseler et al., 2009). The path coefficients were assessed based on
signs associated with them and the magnitude of their values. For significance, a path coefficient
t-value greater than or equal to 1.96 and ρ value of 0.05 or less is acceptable.
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Results from the structural equation modeling test of hypothesised paths are depicted in Table 4.
The level of significance of the coefficients support the theory represented in the model. The
parameter estimates (for both ρ and t-values) are significant and within the scales expected
(Blunch, 2008), hence supporting the predictive validity of the model. From the structural model
results (Table 4), two out of the three path coefficients (direct effects) were statistically
significant. The relationship between Innovation Capability and Export Performance (t-value =
5.39, ρ value = .000), as well as the relationship between Marketing Capability and Export
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Performance (t-value = 7.11, ρ value = .000) showed statistical significance. The results in Table
4 provided no support for the first hypothesis (H1) because the effect of Social Capital on Export
Performance is non-significant (t-value = 1.10, ρ value > 0.05). In all these analyses, firm
characteristics (Age, Experience, and Size) were controlled for in the structural model
assessment. Their effects in the structural relationships were found to be statistically nonsignificant. From this, hypotheses 2 (H2) and 3 (H3) were supported in the current data, whereas
hypothesis 1 (H1) was not supported.
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INSERT Table 4: Structural Model Results
Tests for Mediation Effects
Two tests of mediation were conducted to examine the effect and magnitude to which Innovation
Capability and Marketing Capability mediate the relationship between Social Capital and Export
Performance. One of the main advantages of using a path model is the possibility of exploring
the direct, indirect and total effects among latent variables (Lages and Montgomery, 2005). The
indirect effect is determined by understanding the impact of a particular variable on a second
variable through its effect on a third intervening or mediating variable (Hair et al., 2010). Hence,
to test the mediating effect of Innovation Capability on the relationship between Social Capital
and Export Performance, the effect of Marketing Capability was constrained in the structural
model. A statistically significant indirect effect (t-value = 4.71, ρ value = .000) was observed
from the bootstrapped mediation test. Thus, the fourth hypothesis (H4) was supported by the data
in the study. Secondly, following from Baron and Kenny’s (1986) rule, the effect of Innovation
Capability was constrained in the second mediation model while the paths involving Social
Capital, Marketing Capability and Export Performance were analysed. As was in the first
mediation model, a statistically significant indirect effect (t-value = 6.28, ρ value = .000) was
observed from the bootstrapped mediation test. Consequently, the fifth hypothesis (H5) was also
supported by the data in the study. Therefore, this study confirms that Innovation Capability and
Marketing Capability act as full mediators in each of the aforementioned simple mediating
relationships (H4 and H5). Table 5 exhibits the mediation results.
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INSERT Table 5: Mediation Test Results
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5. Discussions and Implications
This study hypothesised that social capital as a firm resource results in superior export
performance of SMEs. From the structural model results, the hypothesised path was not found to
be statistically significant. Hence, contrary to empirical evidence from other studies that social
capital presents valuable resources to actors within a network (O’Cass and Sok, 2013; Wu,
2013); results from this research do not confirm significant effects of social capital on export
performance of SMEs. Consequently, findings from this research do not endorse previous
contributions by Babakus et al. (2006), Belso-Martınez (2006), and Boehe (2013) who reported a
direct positive link between networks and export performance. On the contrary, findings of this
study are congruent with Stoian et al., (2017) who found that inter-organisational networks do
not significantly impact on export performance. Results from this research therefore as compared
to the market-based resources under study, do not endorse social networks and their outcomes as
critical resources that result in competitive advantage as postulated by Lages et al. (2009). Thus,
even though respondents hinted at their sources of social capital, their social networks were not
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deemed significant to influence their export performance. This suggests that the existence of
inter-organisational networks may be necessary but not sufficient to contribute significantly to
the success of SME export operations. Perhaps, the low levels of governmental support in getting
SMEs to build their capabilities by participating in export promotion programmes could have led
to the insignificant impact of social capital on export performance. In other words, governmental
support for developing SME capabilities through participation in trade shows, exhibitions and
training programmes might have contributed more significantly to enhancing their resources and
the skills required to handle their export operations effectively (Leonidou, Palihawadana and
Theodosiou, 2011), without need for the support of other social networks.
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It was also hypothesised that innovation capabilities would have a positive relationship with
export performance of SMEs. As predicted, the results provide substantial empirical support for
findings from other settings that innovation capabilities positively influence export performance
of SMEs. Thus, in line with prior research (Stoian et al., 2017; Boso et al., 2013), current
findings underpin the critical role of capabilities in export marketing.
This study also hypothesised that SME export performance could be enhanced if they possessed
marketing capabilities. In this regard, a structural path between marketing capabilities and export
performance was tested yielding statistically significant results between both constructs.
Marketing capabilities proved to foster improved export performance among SMEs sampled,
providing empirical support to prior research findings that link export performance with the
deployment of capabilities (Wu, 2013; Morgan et al., 2004), effectively confirming the role of
marketing capabilities as key drivers of export market performance. Similar to Morgan et al.
(2012) assertion that the adaptation of the export marketing mix strategies (4Ps) is an internal
capability which leads to enhanced export operations, findings from this research suggest that the
effective exploitation of the marketing mix strategies in their exporting activities yields superior
performance for SMEs.
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This study also assessed the empirical findings of the theoretical viewpoints espoused in this
research by examining the effect and magnitude to which innovation and marketing capabilities
enhanced the relationship between Social Capital and Export Performance. The data analysis
yielded statistically significant results for both sets of mediations (i.e. innovation and marketing
capabilities both impact on social capital to generate superior export performance). Significantly,
findings from this research support assertions from earlier studies that in order for networks to
benefit from export performance, there was the need for indirect relationships mediated by one
or various intermediate outputs such as innovation (Stoian et al., 2017; Lu et al., 2010).
Additionally, it also supports Lu et al.’s (2010) findings on the capabilities mediated resources
and the international performance of entrepreneurial SMEs which further demonstrates support
for the mediating role of capabilities in the relationship between resources and international
performance of firms.
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Hence, beyond their direct influence on export performance of SMEs, the possession of
marketing and innovation capabilities also results in superior export performance when they
mediate the social capital-export performance relationship. This study has therefore empirically
reinforced the Dynamic Capabilities Theory that the mere possession of resources does not
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necessarily guarantee the achievement of performance benefits, as those resources can be traded
and are transferable across several organisational boundaries (Lu et al., 2010).
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Theoretical Implications
While the study empirically reinforced the Dynamic Capabilities theory, an exploration of the
nexus of the three theories brought to the fore the need to reassess the Social Capital theory. This
is in light of the results from this research suggesting that merely possessing social capital as a
resource does not guarantee superior export performance. However, the results by no means
suggest that the Social Capital theory is not relevant within the export performance context.
Indeed, Social Capital theory is widely recognized as a rich theoretical platform from which to
study business outcomes and still remains relevant to the export performance literature (Boso,
Cadogan and Story, 2013). Its potential in determining export success is yet to be fully explored.
This research measured its applicability relative to resource-based theories. Hence, in
juxtaposing the relational resources with the market-based resources, the theories have provided
some exposure as to the relative contribution of marketing capabilities, innovation capabilities
and social capital.
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Methodological Implications
The research adopted a quantitative technique using a survey approach, which employed
structured questionnaires to obtain information from respondents. This approach was deemed
appropriate for the research that sought to test some theories by understanding relationships
among variables (Saunders et al., 2011) and predicting outcomes of those relationships
(Creswell, 2014). Also, a significant sample was required to effectively draw general conclusions
within the SME sector and gather the most valid results, hence the use of a relatively larger
sample. The use of the positivist approach in undertaking the study was to increase the predictive
understanding of the relationships that exist among the various constructs in order to test the
various theories (Myers, 2013) and test the hypotheses by analysing numbers from the measures
(Neuman, 2003).
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Policy and Managerial Implications
Customers and suppliers have proven to be critical sources social capital for exporters, providing
information in an organizational supply chain as they offer useful suggestions on product and
process improvement that enables firms sustain competitive advantage. In this regard, managers
should strive to engage more with these groups of stakeholders to enhance their export
performance. Staff should also be encouraged to perform boundary spanning activities that
would enable the firms derive significant benefits from the relationships. Government and its
agencies can also play a critical role in supporting SMEs to enhance their knowledge towards
improving their market offer. Sponsoring capacity-building programmes in the areas of
marketing and innovation could enable Ghanaian SMEs compete effectively on the international
front. Government must itself map out strategies at the macro level to support small firms in their
export drive. For instance, tax incentives could be offered as well as assistance in the form of
resources to enhance SME export operations, while encouraging more SMEs to venture into
exporting. Managers of SMEs in export also need to pay a little more attention to their firms’
product, pricing, promotional and distribution strategies in servicing overseas markets. To
overcome cultural challenges on the international front, managers could use the services of
international marketing experts to craft out interesting promotional programmes to effectively
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position their products in the host nations. Similarly, Ghanaian SMEs need to come up with more
innovative product strategies (e.g. packaging) that would suit the idiosyncrasies of international
markets. Pricing strategies should also take into account the social structures of consumers in
destination countries so as not to price themselves out of the market, while generating adequate
revenue. An effective combination of the marketing mix elements will position the exporting
firm effectively in a highly competitive environment.
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6. Conclusions, Limitations and Future Research
This study concludes that SMEs’ ability to achieve superior export performance from social
capital is dependent on how effectively their market-based resources are harnessed. This research
has demonstrated that the possession of relational resources alone may not result in gaining
superior export performance (the path value yielded negative results). Thus, to realise the needed
results, social capital, derived from various networks and associations ought to be harnessed
along a set of market-based capabilities. Additionally, this study has demonstrated that
capabilities vary in terms of their impact on firm performance. Marketing capability is apparently
still relevant in today’s world in spite of the innovation wave sweeping across the global market.
By implication, contrary to views that small firms do not require marketing to succeed, this
research has provided sufficient justification for SMEs to pay closer attention to their marketing
activities. Findings from this study to a large extent are in tandem with theoretical expectations.
However, as with any scientific research, there are a few limitations that should be noted. Even
though key respondents were considered experts in the field being researched, the robustness of
the data would have been enhanced if more than one person had been surveyed in each
enterprise. Again, in the domain of respondents, the method applied in eliciting responses could
not easily establish informant bias, particularly with respect to the ratings for the various scale
measuring items.
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Future research may therefore consider examining each of the elements within the marketing
capabilities construct to determine the varying impact of each on export performance. For
instance, it could explore the development of the pricing process as a capability. It would also be
interesting to test the joint effect of marketing and innovation capabilities on the performance of
exporting firms. Furthermore, marketing capabilities transcend the marketing-mix capabilities
model, hence the need to test the mediation of other marketing variables such as customer
relationship management as well as differentiation and low-cost advantages in explaining
marketing capabilities-export performance relationships. In addition, there is the need for further
research on the benefits of innovation to be carried out on firms from emerging economies. From
a theoretical standpoint, future research could adopt the institutional learning and competitive
theories to enrich the research. These could help in identifying other institutional factors, besides
market-based resources that positively influence export performance.
16
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Table 1: Demographic Attributes of Respondents and Firm Characteristics
Jo
Variable
ur
Member of an
association
l
na
Firm Ownership
of
Major destination
of export
Frequency
94
203
297
67
203
Professional
78
Degree
136
48
Post-Graduate
16
297
119
23
89
8
2
3
244
70
81
146
297
Total
5 or less
6 -20
21-40
41-60
61-80
80 and above
Total
2-5
6-9
10 and above
Total
297
67
118
37
24
13
38
297
63
112
122
297
Owner
48
Manager
117
Employee
126
Other
Total
6
297
Educational
level
9
Number of
employees
164
105
187
12
126
137
Role of
Respondent
nd
99
Years in export
business
ca
mi
Which social
institution supports
you in enhancing
your export
performance
Measures
Female
Male
Total
JHS/SHS/MLSC
no
Industry of
business
Frequency Variable
125
169
Gender
294
34
NOTE: Firm Age (Mean = 16.9, Standard Dev. = 12.67)
nt
me
ge
na
Ma
Level
No
Yes
Total
Partnership
Limited Liability
Company
State- Owned
Sole
Proprietorship
Total
Africa
Asia
Europe
North America
South America
Other
Total
Agricultural
Manufacturing
Services
Total
Governmental
Agencies
Trade
Associations
Family and
Friends
Customers
Old school mates
Overseas partners
Suppliers
o
Ec
die
Stu
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
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60
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an
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Jo
ur
l
na
of
nd
ca
mi
no
o
Ec
nt
me
ge
na
Ma
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Stu
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African Journal of Economic and Management Studies
an
Table 2: Confirmatory Factor Analysis Results
Jo
Construct and measures
Code
Loadings CA
AVE
Marketing Capabilities
0.87
0.558
Our company has introduced more products/services
MkC2
0.80
for our export market than our key export market
competitors during the past three years
Our products/services are unique and differentiate us
MkC4
0.73
from other competitors
Our products/services are easily accessible to our
MkC5
0.77
overseas customers
Our distribution channels are more efficient than our
MkC6
0.60
competitors
We employ different promotional strategies on
MkC7
0.82
international markets compared to our competitors
We often participate in exhibitions to showcase our
MkC8
0.74
products/services
Innovation Capabilities
0.93
0.604
Our firm is often the first to introduce new products/
InC1
0.74
services within our industry
We are capable of utilizing our know-how in
InC2
0.72
introducing new products/ services to meet customer
demands
Our product/service creativity keeps us regularly ahead
InC3
0.74
of our competitors
In the recent two years, we introduced more new
products/services in our export market than our key
InC4
0.93
export market competitors
Our new product/service offerings are radically
InC5
0.85
different from export market competitors.
Our firm frequently tries out new ideas and seeks
InC6
0.71
unusual novel solutions
Our firm seeks out new ways of doing things
InC7
0.79
Our company is creative in its methods of operation
InC8
0.71
Social Capital
0.89
0.585
Our relationship with our overseas partners
SoC1
0.83
Our relationship with governmental agencies
SoC2
0.75
Our relationship with trade and business associations
SoC4
0.71
Our relationship with other private companies
SoC5
0.78
Our relationship with state officials
SoC8
0.75
Export Performance
0.90
0.67
Foreign customer satisfaction has improved
ExP1
0.76
Profitability from export activities has grown
ExP2
0.88
Total export sales have grown
ExP3
0.81
Percentage of export sales has grown compared to total
ExP4
0.73
sales
Our market share in export markets has grown
ExP5
0.90
KEY: CA = Chronbach’s alpha; CR = Composite reliability; AVE = Average Variance Estimate
CR
0.88
ur
l
na
of
0.92
nd
ca
mi
no
o
Ec
0.88
0.91
nt
me
ge
na
Ma
die
Stu
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
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an
Table 3: Correlation Matrix
Jo
Variable
FA
EE
FS
SC
MC
IC
EP
FA
EE
.489**
FS
.418**
.210**
SC
.082
-.042
.217**
.764
MC
.137*
-.107
.383**
.538**
.747
IC
.109
-.143*
.354**
.411**
.604**
.777
EP
.171**
-.170**
.151**
.385**
.560**
.346**
.819
CA
0.890
0.870
0.930
0.900
AVE
0.585
0.558
0.604
0.670
CR
0.880
0.880
0.920
0.910
NOTE: FS = firm size; FA = firm age; EE = export experience; SC = social capital; IC =
innovation capability; MC = marketing capability; EP = export performance; CA = Cronbach’s
alpha; CR = Composite reliability; AVE = Average variance estimate
**Correlation significant at 1% significance level
*Correlation significant at 5% significance level
ur
l
na
of
nd
ca
mi
no
o
Ec
nt
me
ge
na
Ma
die
Stu
1
2
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Table 4: Structural Model Results
Standardized
coefficient
Jo
Path specified
Controls
Age ---> Export Performance
0.06
Experience ---> Export Performance
0.06
Size ---> Export Performance
-0.01
Model relationships
H1: Social Capital ---> Export Performance 0.06
H2: Innovation Capability ---> Export
0.35
Performance
H3: Marketing Capability ---> Export
0.43
Performance
***p-value significant at the 1% significance level
t-value
bootstrap
0.74
0.87
0.13
ur
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1.10
5.39***
of
7.11***
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Table 5: Mediation Test Results
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Direct effects
(t-value
bootstrap)
Mediation Relationships
ur
H4: Innovation Capability as
Mediator
Social Network -> Expert
0.06 (1.10)
Performance
H5: Marketing Capability as
Mediator
Social Network -> Expert
-0.01 (0.13)
Performance
***p-value significant at the 1% significance level
l
na
of
Indirect
Indirect effects (tvalue
effects
bootstrap)
Total
effects
0.16
4.71***
0.22
0.24
6.28***
0.23
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AUTHOR’S NOTE TO REVIEWER COMMENTS
Jo
Reviewer: 1
ur
The author should rewrite the introduction and provide a theoretical and practical
research gap.
l
na
Response: The introduction has been rewritten in pages 1 and 2, where theoretical and practical
research gaps have been added.
of
What do we know about export performance of SMES? How far has knowledge grown
in this area and what remains to be known?
However, the literature review section lacks rigor. The author should attempt to discuss
literature.
ca
mi
no
o
Ec
Response: This can also be found in page 2, stating that the direct influence of marketing
capabilities, innovation capabilities and social capital on SME export performance is evident
in SME literature. Research in the area also covers understanding customer needs innovation
processes and adaptive capacity, leaving gaps to filled in identifying the differential impact of
these capabilities (e.g. marketing mix versus innovation) on the performance of firms at
different stages of export, and the direct relationship between market-based capabilities and
superior export performance. Also, how firms from emerging markets employ their capabilities
in leveraging social capital to enhance their growth and profitability is yet to be known.
nd
Response: Find improvements to the literature in page 4 through to 8. Corrections have been
made to explain “firm capabilities, the resourced based view, the dynamic capabilities theory,
innovation capabilities, marketing capabilities, and the social capital theory”.
na
Ma
However, the authors should articulate the Research design, population, sample size,
sampling design and procedure, validity and reliability.
me
ge
Response: On pages 9-10, the research design has been stated as quantitative, population as
“all SMEs undertaking non-traditional export activities in Ghana continuously for a period of
not less than two years.” Various institutions that manage exporting in Ghana were therefore
approached for databases. Convenience sampling was adopted. Questionnaires were
distributed to 327 available respondents out of the 357 exporters from the database. 297 out of
the 327 distributed questionnaires were returned and used for the analysis of the study. This
represents a response rate of 90.8%.
nt
I would like to see a detailed section on the operationalization and measurement of the
study constructs. Analysis of the results is shallow.
Response: The operationalisation and measurement of the study constructs can be found in
Table 2, that also presents the confirmatory factor analysis. The entire analysis has been redone
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in pages 10-12, adding demographic data, confirmatory factor analysis, as well as reliability
and validity tests.
Jo
The researcher should use Confirmatory factor analysis.
ur
Response: Confirmatory factor analysis has been presented in pages 10-11, and in Table 2.
l
na
There is lack of transparency in data analysis.
Response: Reliability and validity tests have been presented in pages 11-12, and in Table 3 to
bring transparency in the analysis.
of
o
Ec
Results are unclear.
Response: The results have been clarified in pages 10-13.
no
Results presented were not analysed appropriately.
mi
Response: Significant changes have been made to the analysis.
ca
The conclusions do not adequately tie together the other elements of the paper.
Response: The discussion of the findings has been rewritten in 13-14, drawing better
conclusions to the theories and variables in the study.
nd
na
Ma
Implications for research, practice and/or society are unclear.
Response: Implications for research, practice and/or society have been presented pages 1415. Theoretical, methodological, policy and practical/managerial implications have been
clearly categorised in pages 14-15.
nt
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Reviewer: 2
Jo
Comments:
The following references can be helpful:
ur
Robson, P. J., Akuetteh, C. K., Westhead, P., & Wright, M. (2012). Exporting intensity, human
capital and business ownership experience. International Small Business Journal, 30(4), 367387.
l
na
Robson, P. J., & Freel, M. (2008). Small firm exporters in a developing economy context:
evidence from Ghana. Entrepreneurship and Regional Development, 20(5), 431-450.
of
Response: Thank you for supporting us with the references above. We have incorporated them
at the appropriate sections of our work.
Additional Questions:
o
Ec
Specifically, theories such as Social Capital, Dynamic Capability, and Resource Based
View of the firm were not appropriately explained in this study.
no
Response: This has been addressed in pages 4-8. Additional explanations and literature have
been reviewed on “firm capabilities, the resourced based view, the dynamic capabilities theory,
innovation capabilities, marketing capabilities, and the social capital theory”.
There was no explanation on the theory of dynamic capabilities and the discussion on
firm capabilities in pages 5 and 6 did not adequately explain the theory of dynamic
capabilities or the resource based-view of the firm.
nd
ca
mi
Response: Find this addressed in pages 5-7, where the theory of dynamic capabilities, the
resource based-view, and firm capabilities are extensively reviewed.
na
Ma
It is also important for the author(s) to note that various variables used to measure
social capital or firm networks were not discussed in the paper. The bases for
formulating various hypotheses were therefore very weak.
For instance, H1 states that “Social capital has a positive relationship with export
performance”. I believe that Social capital is too broad a theory to examine its
relationship with export performance without explaining how the social capital was
measured (See page 4 line 55).
me
ge
Response: This has been addressed on page 4, paragraph 2, where social capital is measured
as business/firm networks, family and friend networks, institutional networks/capital and
managerial ties. Generally, social capital has been conceptualised under three broad
dimensions: structural; relational and cognitive.
nt
H2 and H3 also demonstrate similar weakness. Because the theory of dynamic
capabilities was not discussed in detail in the text but firm dynamic capabilities was
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Jo
ur
discussed. The use of innovation and 4Ps as variables to measure marketing
capabilities of the firm without detailed discussion on dynamic capabilities theory, firm
resources and firm strategy and the variables that were used to measure these theories
further weakens the bases for stating hypotheses 2 and 3 (See page 5 line 43 and page
6 line 25).
l
na
Response: The operationalisation of the marketing capabilities elements has been presented
on page 8, paragraph 2. Further review has been done on the theory of dynamic capabilities.
How many questionnaires were issued?
of
Response: 327 questionnaires were distributed. This has been presented on page 10.
o
Ec
How many questionnaires were returned and what was the response rate? How was
response bias measured?
no
Response: 297 out of the 327 distributed questionnaires were returned and used for the analysis
of the study. This represents a response rate of 90.8%, as presented in page 10. The split-sample
method was used to measure response bias.
mi
ca
As indicated previous, weaknesses in the theoretical foundation of the study will imply
that the implications of the study to theory and practice appear to be doubtful.
Measuring export performance of the firm based on the perception of the entrepreneur
also affected the rigour of the paper.
nd
Response: The discussion of the findings has been rewritten in 13-14, drawing better
conclusions to the theories and variables in the study. Implications for research, practice and/or
society have been presented in pages 14-15. Theoretical, methodological, policy and
practical/managerial implications have been clearly categorised in pages 14-15.
nt
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