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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">AC</journal-id>
<journal-title-group>
<journal-title>Acta Commercii - Independent Research Journal in the Management Sciences</journal-title>
</journal-title-group>
<issn pub-type="ppub">2413-1903</issn>
<issn pub-type="epub">1684-1999</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">AC-22-989</article-id>
<article-id pub-id-type="doi">10.4102/ac.v22i1.989</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Modelling the antecedents for export orientation, innovation capacity and performance for South African manufacturing SMEs</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8119-1659</contrib-id>
<name>
<surname>Harrison</surname>
<given-names>Glynis J.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3232-7203</contrib-id>
<name>
<surname>Pooe</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Business Management, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> David Pooe, <email xlink:href="dpooe@uj.ac.za">dpooe@uj.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>23</day><month>09</month><year>2022</year></pub-date>
<pub-date pub-type="collection"><year>2022</year></pub-date>
<volume>22</volume>
<issue>1</issue>
<elocation-id>989</elocation-id>
<history>
<date date-type="received"><day>26</day><month>11</month><year>2021</year></date>
<date date-type="accepted"><day>18</day><month>05</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2022. The Authors</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Orientation</title>
<p>In order to improve performance, South African manufacturing small and medium-sized enterprises (SMEs) need to constantly look at expanding their markets by exploring export opportunities and innovating their products and services.</p>
</sec>
<sec id="st2">
<title>Research purpose</title>
<p>The aim of this study was to model the antecedents for export orientation, innovation capacity and SME performance.</p>
</sec>
<sec id="st3">
<title>Motivation for the study</title>
<p>Although the influence of export orientation and innovation capacity on firm performance is well established, this study has brought together these capabilities as well as SME absorptive capacity, knowledge management and entrepreneurial competence into one model.</p>
</sec>
<sec id="st4">
<title>Research design, approach and method</title>
<p>The study adopted a quantitative research approach and employed a cross-sectional survey of 207 SMEs in South Africa. Structural equation modelling was employed for data analysis using AMOS 26.0.</p>
</sec>
<sec id="st5">
<title>Main findings</title>
<p>Absorptive capacity and knowledge management capabilities are certainly significant capabilities that should be embedded in the SME business, in view of their role in positively influencing the development of export orientation and innovation capacity, and that the influence of entrepreneurial competence is not significant enough. The results of the study showed that the primary data collected and analysed fit the posited model.</p>
</sec>
<sec id="st6">
<title>Practical/managerial implications</title>
<p>With SMEs seeking to enter the export market faced with a number of challenges as they begin to explore unchartered waters, the ability to learn and assimilate new knowledge will stand SMEs in good stead as they expand their markets beyond the present boundaries.</p>
</sec>
<sec id="st7">
<title>Contribution/value-add</title>
<p>The study&#x2019;s findings extend the principle of distributed focus of attention into a possible new theory called SME Export and Innovation Attention Theory.</p>
</sec>
</abstract>
<kwd-group>
<kwd>absorptive capacity</kwd>
<kwd>knowledge management capability</kwd>
<kwd>entrepreneurial competence</kwd>
<kwd>innovation capacity</kwd>
<kwd>export orientation</kwd>
<kwd>SME performance</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction and background</title>
<p>In recent years, there have been a number of studies, which have investigated the performance of small and medium-sized enterprises (SMEs). Good performing SMEs mean better socio-economic conditions as a result of increased employment opportunities and improved fiscal revenue (Lawless <xref ref-type="bibr" rid="CIT0053">2014</xref>). Hence, South African manufacturing SMEs welcome the support received from the government and other institutions, which facilitate their growth and development. Policy makers should recognise the peculiar needs of those SMEs with the potential for high growth and employment creation (Ngek &#x0026; Van Aardt Smit <xref ref-type="bibr" rid="CIT0066">2013</xref>). Yet, for SMEs to grow and thrive, much more is required than support from the government. Entrepreneurs and SME managers should also know the kind of capabilities their business require in order to move from one point to the next. Innovative start-ups, which are future job-creating enterprises (Kuckertz et al. <xref ref-type="bibr" rid="CIT0050">2020</xref>), should equally be cognisant of such capabilities.</p>
<p>The socio-economic contribution of small and medium enterprises is well documented in the literature, especially in the areas of job and wealth creation (Lawless <xref ref-type="bibr" rid="CIT0053">2014</xref>; Mafini, Pooe &#x0026; Loury-Okoumba <xref ref-type="bibr" rid="CIT0057">2016</xref>; Ngek &#x0026; Van Aardt Smit <xref ref-type="bibr" rid="CIT0066">2013</xref>). For SMEs to continue making such contribution, they need to keep improving their performance in the face of shrinking markets and growing competition (Prasanna et al. <xref ref-type="bibr" rid="CIT0072">2019</xref>). This calls for SMEs to expand their markets by exploring export opportunities and by constantly innovating their products and services, as well as their operational processes (Golovko &#x0026; Valentini <xref ref-type="bibr" rid="CIT0031">2011</xref>; Zortea-Johnston, Darroch &#x0026; Matear <xref ref-type="bibr" rid="CIT0088">2012</xref>). Yet, for SMEs to grow their markets and innovate, they need to improve their learning ability through absorptive capacity and knowledge management capabilities (Bagheri et al. <xref ref-type="bibr" rid="CIT0005">2019</xref>; Martin &#x0026; Javalgi <xref ref-type="bibr" rid="CIT0060">2019</xref>).</p>
<p>In this study, absorptive capacity and knowledge management are regarded as the learning capabilities that must be built in order to strengthen the operational effort to positively influence firm performance. Entrepreneurial competence has also been identified as pivotal in achieving organisational performance goals; it is unique to the specific entrepreneur and organisational setting. South African manufacturing need to learn to harvest or extract knowledge management routines and practices necessary for transforming knowledge inputs into performance-enhancing outputs (Abbariki, Snell &#x0026; Easterby-Smith <xref ref-type="bibr" rid="CIT0001">2017</xref>:57; Barbero, Casillas &#x0026; Feldman <xref ref-type="bibr" rid="CIT0007">2011</xref>:673). The dynamic capabilities view offers a framework or a perspective, which depicts how resources (such as knowledge or entrepreneurial competence) are utilised and configured as routines and practices that constitute organisational capabilities (Mohamud &#x0026; Sarpong <xref ref-type="bibr" rid="CIT0063">2016</xref>:511; Teece <xref ref-type="bibr" rid="CIT0080">2014</xref>:17).</p>
<p>As SMEs largely depend on their owners, who are often entrepreneurs, their skills and competencies cannot be overemphasised for the success of their business. Surviving and thriving under these competitive pressures call for constantly embracing new ways of thinking and working (Joynes, Rossignoli &#x0026; Fenyiwa Amonoo-Kuofi <xref ref-type="bibr" rid="CIT0044">2019</xref>). The shrinking local markets constantly challenge SMEs and their owners to increase their horizon and explore markets beyond their own geographical boundaries for potential growth and expansion (Gherghina et al. <xref ref-type="bibr" rid="CIT0029">2020</xref>). In this regard, Alves et al. (<xref ref-type="bibr" rid="CIT0003">2020</xref>:5) posit that SMEs active in international trade outperform those that do not. This indicates that SMEs can do well to engage in activities that will enable them to internationalise, as this will enhance competitiveness.</p>
<p>While there were many other studies that examined permutations of sections of these relationships, for example, the link between absorptive capacity and innovation (Ali, Kan &#x0026; Sarstedt <xref ref-type="bibr" rid="CIT0002">2016</xref>; Enkel et al <xref ref-type="bibr" rid="CIT0021">2017</xref>), or the effect of exports and innovation on firm performance (Golovko &#x0026; Valentini <xref ref-type="bibr" rid="CIT0031">2011</xref>; Kafetzopoulos &#x0026; Psomas <xref ref-type="bibr" rid="CIT0045">2015</xref>), or how learning determines export orientation and affects export performance (Huang et al. <xref ref-type="bibr" rid="CIT0040">2018</xref>), this is the first study that has attempted to put all these variables together in a model to examine the outcome on firm performance for South African SMEs. Hence, this study explores the influence of organisational learning capability (absorptive capacity, knowledge management capability and entrepreneurial competence) on the innovation capacity, export orientation and SME performance. <xref ref-type="fig" rid="F0001">Figure 1</xref> illustrates the conceptual framework for this study.</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Conceptual model.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AC-22-989-g001.tif"/>
</fig>
<p>Based on the conceptual research model, the following hypotheses are stated:</p>
<disp-quote>
<p><bold>H<sub>1</sub></bold>: There is a positive and significant relationship between absorptive capacity and export orientation.</p>
<p><bold>H<sub>2</sub></bold>: There is a positive and significant relationship between absorptive capacity and innovation capacity.</p>
<p><bold>H<sub>3</sub></bold>: There is a positive and significant relationship between knowledge management and export orientation.</p>
<p><bold>H<sub>4</sub></bold>: There is a positive and significant relationship between knowledge management and innovation capacity.</p>
<p><bold>H<sub>5</sub></bold>: There is a positive and significant relationship between entrepreneurial competence and export orientation.</p>
<p><bold>H<sub>6</sub></bold>: There is a positive and significant relationship between entrepreneurial competence and innovation capacity.</p>
<p><bold>H<sub>7</sub></bold>: There is a positive and significant relationship between export orientation and firm performance.</p>
<p><bold>H<sub>8</sub></bold>: There is a positive and significant relationship between innovation capacity and firm performance.</p>
</disp-quote>
</sec>
<sec id="s0002">
<title>Theoretical framework</title>
<p>Nonaka&#x2019;s &#x2018;theory of organisational knowledge creation&#x2019; (Nonaka &#x0026; Nishihara <xref ref-type="bibr" rid="CIT0067">1994</xref>) best frames the discussion on organisational learning as encapsulated by the knowledge management and absorptive capacity concepts. Knowledge creation theory starts with a reflection on the iterative relationship between tacit and explicit knowledge in an organisation. It also considers how the sharing of knowledge between individuals and across departments (referred to by Omidvar <xref ref-type="bibr" rid="CIT0069">2013</xref>:13, as &#x2018;boundary spanning&#x2019;) gives rise to the development of new and innovative ideas. In this study, absorptive capacity and knowledge management are regarded as the learning capabilities that must be built in order to strengthen the operational effort to positively influence firm performance. Learning is pivotal to the organisation&#x2019;s ability to understand its own strengths and weaknesses and the opportunities and threats existing in the external environment. Without the ability to &#x2018;sense and seize&#x2019; opportunities (Teece <xref ref-type="bibr" rid="CIT0079">2007</xref>:1322), businesses, and SMEs in particular, have little chance to perform, grow and survive.</p>
<p>The &#x2018;sensing of opportunities&#x2019; capability requires both externalisation of organisational learning (i.e. making the tacit explicit); the acquisition and systematising of new knowledge from a variety of external sources including suppliers and customers and through research and development efforts (in other words, a knowledge management process) and an integration of new and existing knowledge, requiring absorptive capacity. Furthermore, management attention must be focused to allow for searching beyond the firm&#x2019;s existing knowledge perimeters (Teece <xref ref-type="bibr" rid="CIT0079">2007</xref>:1326). Here, there is a need for entrepreneurial competence based on an attention focus choice (Gebauer 2009:83). In this study, learning capabilities (as reflected by absorptive capacity and knowledge management) and entrepreneurial competence are the high-level tools deployed at a higher level to create operational capabilities that will lead to outputs that will, in turn, produce positive firm performance outcomes. These high-level tools are also referred to as dynamic capabilities in terms of the dynamic capabilities view, which helps us to understand how capabilities can be built so that firm performance outcomes can be realised.</p>
</sec>
<sec id="s0003">
<title>Literature review</title>
<sec id="s20004">
<title>Absorptive capacity and export orientation</title>
<p>Absorptive capacity refers to the organisational capability to identify the need for new information, to assess the fit with existing knowledge base and to integrate the new information accordingly and then to convert such new information into firm performance-enhancing outputs (Ali et al. <xref ref-type="bibr" rid="CIT0002">2016</xref>; Gunawan &#x0026; Rose <xref ref-type="bibr" rid="CIT0035">2014</xref>). Export orientation, however, is concerned with how firms prepare for exporting and become export entrants, which involves learning to export and learning by exporting, after export entry (Leonidou, Katsikeas &#x0026; Coudounaris <xref ref-type="bibr" rid="CIT0055">2010</xref>). Galbreath (<xref ref-type="bibr" rid="CIT0024">2019</xref>) found that for exporters to successfully enter foreign markets or achieve export intensity, they require absorptive capacity in order to learn about the business requirements and market conditions in targeted export destinations.</p>
<p>Absorptive capacity also enables research and development and can influence the business&#x2019; export behaviour and performance, thereby helping business overcome export hurdles, which may otherwise be difficult to overcome (Gkypali, Arvanitis &#x0026; Tsekouras <xref ref-type="bibr" rid="CIT0030">2018</xref>). Gkypali et al. (<xref ref-type="bibr" rid="CIT0030">2018</xref>) found that the bigger the firm, the stronger the export orientation becomes. This indicates that medium-sized enterprises rather than micro-enterprises or small enterprises are more likely to develop export orientation. However, Wu and Voss (<xref ref-type="bibr" rid="CIT0085">2015</xref>:344) found that over time, the effect of absorptive capacity on export performance wanes as, over time, absorptive capacity becomes institutionalised and eventually falls victim to organisational bureaucracy and rigidity. For SMEs intending to export, it is of vital importance that they learn about the export market, and for those already active in the export market, they need to realise that learning by exporting is beneficial (Huynh, Nguyen &#x0026; Tran <xref ref-type="bibr" rid="CIT0041">2018</xref>). These studies reveal that absorptive capacity does play a role in export orientation. Yet, much still needs to be explored about the relationship between absorptive and export orientation. Hence, this study hypothesises:</p>
<disp-quote>
<p><bold>H<sub>1</sub></bold>: There is a positive and significant relationship between absorptive capacity and export orientation for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20005">
<title>Absorptive capacity and innovation capacity</title>
<p>Innovation is about bringing forth a new idea or a new solution in the form of a product or a process or a service and is the useful output of the creativity process (Cropley, Kaufman &#x0026; Cropley <xref ref-type="bibr" rid="CIT0016">2011</xref>:2; Gong, Zhou &#x0026; Chang <xref ref-type="bibr" rid="CIT0032">2013</xref>). However, for creative ideas to become useful innovation outputs, some transformative learning processes must occur, that is, absorptive capacity is necessary (Gebauer, Worch &#x0026; Truffer <xref ref-type="bibr" rid="CIT0027">2012</xref>). A few studies have established a positive relationship between absorptive capacity and innovation capacity (Ali et al. <xref ref-type="bibr" rid="CIT0002">2016</xref>; Engelman et al. <xref ref-type="bibr" rid="CIT0020">2017</xref>; Enkel et al. <xref ref-type="bibr" rid="CIT0021">2017</xref>). In their study, Cepeda-Carrion, Cegarra &#x0026; Jimenez-Jimenez (<xref ref-type="bibr" rid="CIT0014">2012</xref>) observed that the relationship between absorptive capacity and innovation is shaped by unlearning. Overall, the literature indicates a strong positive influence of absorptive capacity on innovation (Zahra &#x0026; George <xref ref-type="bibr" rid="CIT0087">2002</xref>; Zou, Ertug &#x0026; George <xref ref-type="bibr" rid="CIT0089">2018</xref>). Therefore, the following hypothesis is proposed:</p>
<disp-quote>
<p><bold>H<sub>2</sub></bold>: There is a positive and significant relationship between absorptive capacity and innovation capacity for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20006">
<title>Knowledge management capability and export orientation</title>
<p>Knowledge management capability refers to the practices and tools that are deployed to allow for knowledge creation and knowledge conversion (Cerchione &#x0026; Esposito <xref ref-type="bibr" rid="CIT0015">2017</xref>). Export orientation refers to all the investments made in configuring human, social and physical capital resources in pursuit of imminent or longer term internationalisation strategy and the commensurate procedures that are put into place to ensure that this aim is pursued and achieved (Eliasson, Hansson &#x0026; Lindvert <xref ref-type="bibr" rid="CIT0019">2012</xref>; Gubik &#x0026; Bartha <xref ref-type="bibr" rid="CIT0034">2014</xref>). Investing in human capital, in particular in the learning prowess and knowledge of staff, is significant in improving labour productivity prior to exporting and in the early stages of exporting (Casillas, Barbero &#x0026; Sapienze <xref ref-type="bibr" rid="CIT0012">2015</xref>).</p>
<p>Villar, Alegre and Pla-Barber&#x2019;s study (<xref ref-type="bibr" rid="CIT0082">2014</xref>) found that export performance is enhanced when certain knowledge management practices have been adopted. Casillas et al. (<xref ref-type="bibr" rid="CIT0012">2015</xref>:106) surveyed 103 Spanish SMEs that were either intending to export or had just started exporting in the last year. They found that knowledge management of the learning accrued prior to and during the early stages of exporting has a significant effect on success as an exporter. In the light of this, this study postulates:</p>
<disp-quote>
<p><bold>H<sub>3</sub></bold>: There is a positive and significant relationship between knowledge management capability and export orientation for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20007">
<title>Knowledge management capability and innovation capacity</title>
<p>Knowledge management serves the purpose of improving operational efficiency, productivity and quality and enables the delivery of new solutions to customer needs (Donate &#x0026; S&#x00E1;nchez De Pablo <xref ref-type="bibr" rid="CIT0017">2015</xref>). Novelty and usefulness are also associated with innovation, and thus, knowledge management can be seen as an enabler of innovation (Garc&#x00ED;a-Morales, Jim&#x00E9;nez-Barrionuevo &#x0026; Guti&#x00E9;rrez-Guti&#x00E9;rrez <xref ref-type="bibr" rid="CIT0026">2012</xref>; Kim, Kim &#x0026; Foss <xref ref-type="bibr" rid="CIT0048">2016</xref>). In their study, Donate and S&#x00E1;nchez De Pablo (<xref ref-type="bibr" rid="CIT0017">2015</xref>) found that of the four activities or functions of knowledge management, that is, knowledge creation, storage, transfer and application, it is the knowledge creation and knowledge application functions that have the most significant and positive relationship with innovation.</p>
<p>A further contribution on innovation as a way to bring new solutions to market was made by Li et al. (<xref ref-type="bibr" rid="CIT0056">2014</xref>) who identified the link with knowledge management. Their study found that Chinese firms use networks and knowledge exploration and exploitation to identify and pursue opportunities. Gonzalez and Martins (<xref ref-type="bibr" rid="CIT0033">2014</xref>) concluded that the innovation strategy is an important factor in knowledge management because of its ability to direct the width and breadth of knowledge creation activities, and conversely knowledge management contributes to the achievement of innovation strategy. Mart&#x00ED;n-De Castro (<xref ref-type="bibr" rid="CIT0061">2015</xref>:143) asserts that to achieve and maintain a competitive edge in the modern global economy that is technology and information driven, knowledge management is a strategic resource, imperative in driving innovation in organisations. Hence, the following is posited:</p>
<disp-quote>
<p><bold>H<sub>4</sub></bold>: There is a positive and significant relationship between knowledge management and innovation capacity for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20008">
<title>Entrepreneurial competence and export orientation</title>
<p>Entrepreneurial orientation is a competence that the manager or owner or founder deploys to determine how to make decisions about investment in resources and capabilities in preparation for export orientation (Swoboda &#x0026; Olejnik <xref ref-type="bibr" rid="CIT0078">2016</xref>). Furthermore, it lies within the ambit of the entrepreneur or SME manager to decide whether to engage in decisions that are riskier but have a long-term perspective, such as developing an export orientation, while also attending to immediate or short-term operational decisions and matters. This is referred to by Laureiro-Mart&#x00ED;nez et al. (<xref ref-type="bibr" rid="CIT0052">2015</xref>:324) as an ambidextrous entrepreneurial competence relating to decision making.</p>
<p>Entrepreneurial competency consists of behaviours adopted by the entrepreneur, which have a direct and positive effect on the entrepreneur&#x2019;s work performance by promoting the development of organisational capabilities and competitive advantage, which includes building export orientation as a capability that could produce future competitive advantage (S&#x00E1;nchez <xref ref-type="bibr" rid="CIT0075">2011</xref>). Kuivalainen, Sundqvist and Cadogan (<xref ref-type="bibr" rid="CIT0051">2010</xref>) found that entrepreneurial competence and internationalisation success are related. Similarly, Fern&#x00E1;ndez-Mesa and Alegre (<xref ref-type="bibr" rid="CIT0022">2015</xref>) found entrepreneurial competence to be pivotal for export success. Game and Apfelthaler&#x2019;s study (<xref ref-type="bibr" rid="CIT0025">2016</xref>) also found that entrepreneurial competence as evidenced by the entrepreneur&#x2019;s decision-making approach, prior international experience and knowledge is very important in exporting. These studies show that the SME entrepreneur would usually also be the manager and main decision maker, plays a critical part in export orientation and makes decisions and directs the development of export-oriented capabilities. Therefore, this study posits the following hypothesis:</p>
<disp-quote>
<p><bold>H<sub>5</sub></bold>: There a positive and significant relationship between entrepreneurial competence and export orientation for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20009">
<title>Entrepreneurial competence and innovation capacity</title>
<p>Entrepreneurial competence is the ability to perform the three entrepreneurial tasks that shape the competitive scope of the firm, namely to make decisions and take actions and to build organisational capabilities (Man, Lau &#x0026; Chan <xref ref-type="bibr" rid="CIT0059">2008</xref>). All three of these tasks are relevant to building innovation capacity through the entrepreneur&#x2019;s ability to contribute knowledge and technology management, idea management, project management and commercialisation ability (Doroodian et al. <xref ref-type="bibr" rid="CIT0018">2014</xref>). P&#x00E9;rez-Lu&#x00F1;o, Wiklund and Cabrera (<xref ref-type="bibr" rid="CIT0071">2011</xref>) show that the relationship between entrepreneurial competence and innovation is of strategic importance and requires further research. Lechner and Gudmundsson (<xref ref-type="bibr" rid="CIT0054">2014</xref>) aver that decisions about developing innovation capacity are derived from the firm&#x2019;s overall strategy for competitiveness, which is driven by entrepreneurial competence in executing the aforementioned entrepreneurial tasks. As more empirical evidence is required on the relationship between entrepreneurial competence and innovation capacity, the following hypothesis is, therefore, proposed:</p>
<disp-quote>
<p><bold>H<sub>6</sub></bold>: There is a positive and significant relationship between entrepreneurial competence and innovation capacity for SMEs.</p>
</disp-quote>
</sec>
<sec id="s20010">
<title>South African manufacturing performance</title>
<p>Venkatraman and Ramanujam (<xref ref-type="bibr" rid="CIT0081">1986</xref>:802) describe firm performance as a subset of organisational effectiveness, which includes financial, non-financial or operational measures, as well as measures for social and environmental impact. Firm performance can be measured by financial performance such as turnover and sales growth or return on investment measures. In order to overcome the resistance of small firms to publicising firm performance information, subjective measures are used, where respondents rate firm performance in relation to competitors or a given benchmark. For instance, in the study of the relationship between entrepreneurial orientation, firm strategy and firm performance of small firms, Lechner and Gudmundsson (<xref ref-type="bibr" rid="CIT0054">2014</xref>:45) include two subjective measures of firm performance, that is, cash flow and profitability as judged by the respondents in comparison with their competitors. Wolff, Pett and Ring (<xref ref-type="bibr" rid="CIT0084">2015</xref>:720) adopted a similar approach in which respondents could indicate their firms&#x2019; sales growth and market growth performance over three years. This study also adopted the subjective measure of performance from the SME managers and owners.</p>
</sec>
<sec id="s20011">
<title>Export orientation and South African manufacturing firm performance</title>
<p>Export orientation means that preparations are made through investment in productivity improvements, be it investment in labour productivity and/or through research and development and capital equipment investments and also that the firm engages in acquiring knowledge about exporting (Eliasson et al. <xref ref-type="bibr" rid="CIT0019">2012</xref>). Eliasson&#x2019;s study found that while the pre-export investments come at a cost, they also deliver positive firm performance results in the domestic market through sales increases and local market growth achievements (Eliasson et al. <xref ref-type="bibr" rid="CIT0019">2012</xref>:468). The revenues earned are necessary to offset the cost of a venture into the export market. Thus, export orientation can, therefore, be directly linked to firm performance. When Golovko and Valentini (<xref ref-type="bibr" rid="CIT0031">2011</xref>) examined the relationship between exports and firm performance for Spanish manufacturers, they found that exports do positively relate to firm performance, but the effect can be strengthened when it is combined with innovation.</p>
<p>Interestingly, in their study, Fernandez-Ortiz, Arteaga Ortiz and Clavel San Emeterio (<xref ref-type="bibr" rid="CIT0023">2015</xref>) found a positive relationship between export orientation and export commitment, which refers to the extent to which managers deem that export sales targets have been satisfactorily met over a 3-year period since the export entry. This suggests that growth in the domestic market is important in promoting export orientation, which often leads to a satisfactory export experience in terms of sales. Casta&#x00F1;o, M&#x00E9;ndez and Galindo (<xref ref-type="bibr" rid="CIT0013">2016</xref>) investigated, among others, the relationship between internationalisation and business growth expectations of service sector companies in 17 countries for which data were obtained. The relationship was found to be positive and significant, suggesting that there is an expectation by business managers that positive performance outcomes should be achieved via internationalisation, of which exporting is the most likely mode for SMEs. Hence, the following hypothesis is proposed:</p>
<disp-quote>
<p><bold>H<sub>7</sub></bold>: There is a positive and significant relationship between export orientation and SME performance.</p>
</disp-quote>
</sec>
<sec id="s20012">
<title>Innovation capacity and South African manufacturing firm performance</title>
<p>Decisions to pursue innovation are linked to the achievement of operation cost reductions and profit increases through the introduction of new products and services into the market (Braga &#x0026; Braga <xref ref-type="bibr" rid="CIT0010">2013</xref>). Investment in innovation capacity does not always produce performance effects, the reason being that not all innovations will make it to market and some that do will not necessarily find uptake in the market (Buddelmeyer, Jensen &#x0026; Webster <xref ref-type="bibr" rid="CIT0011">2010</xref>:262). Thus, the extent to which innovation delivers positive results is strongly determined by how good the legal protection for trademarks and patents is and the pace of technology acceleration (Buddelmeyer et al. <xref ref-type="bibr" rid="CIT0011">2010</xref>:264). Kafetzopoulos and Psomas&#x2019;s (<xref ref-type="bibr" rid="CIT0045">2015</xref>) study of the relationship between innovation capability and firm performance of Greek manufacturing businesses, predominantly SMEs, found a significant and positive relationship between innovation and firm performance as well as innovation and product quality, and it also found that operational performance has a positive and significant effect on financial performance (<xref ref-type="bibr" rid="CIT0045">2015</xref>).</p>
<p>Ye&#x015F;il, Koska and B&#x00FC;y&#x00FC;kbe&#x015F;e (<xref ref-type="bibr" rid="CIT0086">2013</xref>) aver that investment in innovation capacity results in innovation process effectiveness, which, in turn, should lead to better firm performance. Firms go under because of the inability to make profits, which is related to cost lay-out for innovation, the uptake of innovations in the market, and finally, to how easily innovations can be imitated, that is, whether there is a strong legal protection for trademarks and patents (Buddelmeyer et al. <xref ref-type="bibr" rid="CIT0011">2010</xref>). Jim&#x00E9;nez-Jim&#x00E9;nez and Sanz-Valle (<xref ref-type="bibr" rid="CIT0043">2011</xref>) confirm the hypothesis that innovation and performance are positively and significantly linked, and also that learning has a stronger effect on innovation than it has on performance directly. All these aforementioned studies, irrespective of the indicators used for innovation capacity or firm performance, point to the following hypothesis:</p>
<disp-quote>
<p><bold>H<sub>8</sub></bold>: There is a positive and significant relationship between innovation capacity and SME performance.</p>
</disp-quote>
</sec>
</sec>
<sec id="s0013">
<title>Research methodology</title>
<p>This study adopted a quantitative approach within a positivistic research paradigm. The study employed a survey as the research design with a sample of 400 SMEs. The study used purposive sampling, where several SME databases were used to compile the sample. These databases include the SA Electrotechnical Export, the SA Cosmetics Export Council, the SA Capital Equipment Export Council, Cape Furniture Makers, Olive Nurseries, Fruit producers, Furntech incubates, Steel tube manufacturers, Solar PV manufacturers, SA Boatbuilders, SA National Halaal Authority (food &#x0026; beverage manufacturers), the Black Business Council in the Build Environment, SA Flower Growers and Flower Export Council, SA Footwear and Leather Industries association, SA Canning industry (fresh product processing and canning) and a group of Department of Trade &#x0026; Industry&#x2019;s trainees SMEs in their export readiness programme, mainly in manufacturing and agriculture.</p>
<p>Direct web links via Survey Monkey were sent to an email list of 400 SMEs between August and November 2020. Data collection involved three waves until 231 self-administered questionnaires were received, of which 207 were suitable for data analysis, resulting in a response rate of 52&#x0025;. The questionnaire used in the study was adapted from previously validated instruments: absorptive capacity (Wu &#x0026; Voss <xref ref-type="bibr" rid="CIT0085">2015</xref>), knowledge management (Cerchione &#x0026; Esposito <xref ref-type="bibr" rid="CIT0015">2017</xref>), entrepreneurial competence (Man et al. <xref ref-type="bibr" rid="CIT0059">2008</xref>); export orientation (Eliasson et al. <xref ref-type="bibr" rid="CIT0019">2012</xref>; Gubik &#x0026; Bartha <xref ref-type="bibr" rid="CIT0034">2014</xref>), innovation capacity (Doroodian et al. <xref ref-type="bibr" rid="CIT0018">2014</xref>) and firm performance (Arend <xref ref-type="bibr" rid="CIT0004">2014</xref>; Kafetzopoulos &#x0026; Psomas <xref ref-type="bibr" rid="CIT0045">2015</xref>). The questionnaire was pre-tested with four academics who are experts in the area of entrepreneurship. As a result, some items in the questionnaire were adapted for better clarity for local respondents. A five-point Likert scale questionnaire was used. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling (SEM) were used for data analysis using IBM SPSS Amos version 26.</p>
</sec>
<sec id="s0014">
<title>Research findings</title>
<p>As shown in <xref ref-type="table" rid="T0001">Table 1</xref>, half of the respondents were founders or owners, followed by executive managers and departmental managers. Fifty-four per cent of businesses have been in operation for more than 10 years, followed by 19&#x0025; in business for 2&#x2013;5 years, 15&#x0025; between 5 and 10 years, while 11&#x0025; have been in operation for less than 2 years. A business is considered established if it has been in existence for 42 months (Bosma et al. <xref ref-type="bibr" rid="CIT0009">2020</xref>). This is important for this study, as the target population was manufacturing-based SMEs and to become established as a manufacturing operation requires time, has a bearing generally on firm survival and for the building of capabilities such as export orientation and innovation capacity, time in operation is important.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Sample profile.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Sample characteristic</th>
<th valign="top" align="center">Freq</th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Valid &#x0025;</th>
<th valign="top" align="center">Cum &#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Founder or owner</td>
<td align="center">105</td>
<td align="center">50.7</td>
<td align="center">50.7</td>
<td align="center">50.7</td>
</tr>
<tr>
<td align="left">General manager or managing director</td>
<td align="center">47</td>
<td align="center">22.7</td>
<td align="center">22.7</td>
<td align="center">73.4</td>
</tr>
<tr>
<td align="left">Manager</td>
<td align="center">20</td>
<td align="center">9.7</td>
<td align="center">9.7</td>
<td align="center">83.1</td>
</tr>
<tr>
<td align="left">Departmental manager</td>
<td align="center">35</td>
<td align="center">16.9</td>
<td align="center">16.9</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">207</td>
<td align="center">100.0</td>
<td align="center">100.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="5"><bold>Sectors</bold></td>
</tr>
<tr>
<td align="left">Agriculture</td>
<td align="center">26</td>
<td align="center">12.6</td>
<td align="center">12.6</td>
<td align="center">12.6</td>
</tr>
<tr>
<td align="left">Mining and quarrying</td>
<td align="center">9</td>
<td align="center">4.3</td>
<td align="center">4.3</td>
<td align="center">16.9</td>
</tr>
<tr>
<td align="left">Manufacturing</td>
<td align="center">91</td>
<td align="center">44.0</td>
<td align="center">44.0</td>
<td align="center">60.9</td>
</tr>
<tr>
<td align="left">Electricity, gas and water</td>
<td align="center">17</td>
<td align="center">8.2</td>
<td align="center">8.2</td>
<td align="center">69.1</td>
</tr>
<tr>
<td align="left">Construction</td>
<td align="center">11</td>
<td align="center">5.3</td>
<td align="center">5.3</td>
<td align="center">74.4</td>
</tr>
<tr>
<td align="left">Retail and motor trade and repair services</td>
<td align="center">11</td>
<td align="center">5.3</td>
<td align="center">5.3</td>
<td align="center">79.7</td>
</tr>
<tr>
<td align="left">Wholesale trade, commercial agents and allied services</td>
<td align="center">16</td>
<td align="center">7.7</td>
<td align="center">7.7</td>
<td align="center">87.4</td>
</tr>
<tr>
<td align="left">Catering, accommodation and other trade</td>
<td align="center">6</td>
<td align="center">2.9</td>
<td align="center">2.9</td>
<td align="center">90.3</td>
</tr>
<tr>
<td align="left">Transport, storage and communications</td>
<td align="center">9</td>
<td align="center">4.3</td>
<td align="center">4.3</td>
<td align="center">94.7</td>
</tr>
<tr>
<td align="left">Finance and business services</td>
<td align="center">8</td>
<td align="center">3.9</td>
<td align="center">3.9</td>
<td align="center">98.6</td>
</tr>
<tr>
<td align="left">Community, social and personal services</td>
<td align="center">3</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">207</td>
<td align="center">100.0</td>
<td align="center">100.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="5"><bold>Years in operation</bold></td>
</tr>
<tr>
<td align="left">Less than 2 years</td>
<td align="center">23</td>
<td align="center">11.1</td>
<td align="center">11.1</td>
<td align="center">11.1</td>
</tr>
<tr>
<td align="left">Between 2 and 5 years</td>
<td align="center">41</td>
<td align="center">19.8</td>
<td align="center">19.8</td>
<td align="center">30.9</td>
</tr>
<tr>
<td align="left">More than 5 and less than 10 years</td>
<td align="center">31</td>
<td align="center">15.0</td>
<td align="center">15.0</td>
<td align="center">45.9</td>
</tr>
<tr>
<td align="left">+10 years</td>
<td align="center">112</td>
<td align="center">54.1</td>
<td align="center">54.1</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">207</td>
<td align="center">100.0</td>
<td align="center">100.0</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="5"><bold>Number of full-time employees</bold></td>
</tr>
<tr>
<td align="left">Less than 5 years</td>
<td align="center">62</td>
<td align="center">30.0</td>
<td align="center">30.0</td>
<td align="center">30.0</td>
</tr>
<tr>
<td align="left">6&#x2013;10</td>
<td align="center">38</td>
<td align="center">18.4</td>
<td align="center">18.4</td>
<td align="center">48.4</td>
</tr>
<tr>
<td align="left">11&#x2013;20</td>
<td align="center">25</td>
<td align="center">12.0</td>
<td align="center">12.0</td>
<td align="center">60.4</td>
</tr>
<tr>
<td align="left">21&#x2013;50</td>
<td align="center">38</td>
<td align="center">18.4</td>
<td align="center">18.4</td>
<td align="center">48.7</td>
</tr>
<tr>
<td align="left">51&#x2013;100</td>
<td align="center">25</td>
<td align="center">12.0</td>
<td align="center">12.1</td>
<td align="center">90.8</td>
</tr>
<tr>
<td align="left">101&#x2013;200</td>
<td align="center">19</td>
<td align="center">9.2</td>
<td align="center">9.2</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">207</td>
<td align="center">100.0</td>
<td align="center">100.0</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s20015">
<title>Kaiser-Meyer-Olkin measure of sampling adequacy</title>
<p>The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy is used to determine the strength of the relationship between variables, for factorability of the variables, and is indicative of adequacy of the sample factor analysis (Beavers et al. <xref ref-type="bibr" rid="CIT0008">2013</xref>; Rozental et al. <xref ref-type="bibr" rid="CIT0074">2016</xref>). A KMO value of 0.5 is acceptable but is more desirable when above 0.6 (Kaiser <xref ref-type="bibr" rid="CIT0046">1974</xref>:35; Pallant &#x0026; Manual <xref ref-type="bibr" rid="CIT0070">2007</xref>).</p>
<p>The results from <xref ref-type="table" rid="T0002">Table 2</xref> show a KMO value of 0.814, which indicates that the sample is adequate and factor analysis can be conducted.</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Kaiser-Meyer-Olkin and Bartlett&#x2019;s test of sphericity.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">KMO and Bartlett&#x2019;s test</th>
<th valign="top" align="left"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Kaiser&#x2013;Meyer&#x2013;Olkin measure of sampling adequacy</bold></td>
<td align="center">0.814</td>
</tr>
<tr>
<td align="left"><bold>Bartlett&#x2019;s test of approx. chi-square sphericity Df</bold></td>
<td align="center">7622.899 1326</td>
</tr>
<tr>
<td align="left"><bold>Sig.</bold></td>
<td align="center">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>KMO, Kaiser-Meyer-Olkin.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20016">
<title>Bartlett&#x2019;s test of sphericity</title>
<p>Bartlett&#x2019;s test of sphericity must be significant (<italic>p</italic> &#x003C; 0.05) to indicate that data are suitable for factor extraction and in this case <italic>p</italic> = 0.000 (Pallant &#x0026; Manual <xref ref-type="bibr" rid="CIT0070">2007</xref>). This is determined based on the relationship between variables, where correlations must be significantly different from 0 to continue with EFA (Maskey, Fei &#x0026; Nguyen <xref ref-type="bibr" rid="CIT0062">2018</xref>). Correlations between items should not be so high (above 0.8) as to present the problem of multicollinearity or so low (&#x003C; 0.2) as to indicate that the items do not correlate sufficiently to group under the same construct (Rozental et al. <xref ref-type="bibr" rid="CIT0074">2016</xref>; Watson <xref ref-type="bibr" rid="CIT0083">2017</xref>).</p>
</sec>
<sec id="s20017">
<title>Variables of central tendency, variability and reliability</title>
<p>The mean is the average score obtained per item, and the standard deviation indicates how far away from or how closely concentrated the responses are to the mean. <xref ref-type="table" rid="T0003">Table 3</xref> presents the measures of central tendency and dispersion for each construct, namely entrepreneurial competence, absorptive capacity, knowledge management, export orientation, innovation capacity and firm performance. Reliability measures the consistency of a measurement. Internal reliability measures consistency of responses across the measurement items and is indicated by Cronbach&#x2019;s alpha (&#x03B1;) (Kline <xref ref-type="bibr" rid="CIT0049">2016</xref>). An alpha coefficient is a value between 0 and 1 and is acceptable at &#x003E; 0, 7 and excellent at &#x003E; 0, 9, indicating moderate to high reliability (Jain &#x0026; Angural <xref ref-type="bibr" rid="CIT0042">2017</xref>; ed. Maree 2016). Composite reliability (CR) is also a measure of internal consistency, indicated by a value greater than 0.80 (Raymond et al. <xref ref-type="bibr" rid="CIT0073">2016</xref>). The average variance extracted (AVE) was used to evaluate the discriminant validity of the constructs of the measuring instrument. All relevant values per research construct are presented and discussed in <xref ref-type="table" rid="T0003">Table 3</xref>.</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Descriptive statistics per construct.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Construct</th>
<th valign="top" align="center">Valid (<italic>N</italic>)</th>
<th valign="top" align="center">Missing values</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">Standard deviation</th>
<th valign="top" align="center">Composite reliability</th>
<th valign="top" align="center">AVE</th>
<th valign="top" align="center">Cronbach&#x2019;s alpha</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Entrepreneurial competence</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">4.2571</td>
<td align="center">0.80551</td>
<td align="center">0.954</td>
<td align="center">0.698</td>
<td align="center">0.954</td>
</tr>
<tr>
<td align="left"><bold>Absorptive capacity</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">4.0879</td>
<td align="center">0.61896</td>
<td align="center">0.883</td>
<td align="center">0.532</td>
<td align="center">0.882</td>
</tr>
<tr>
<td align="left"><bold>Knowledge management</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">4.2512</td>
<td align="center">0.66965</td>
<td align="center">0.870</td>
<td align="center">0.533</td>
<td align="center">0.869</td>
</tr>
<tr>
<td align="left"><bold>Export orientation</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">3.3907</td>
<td align="center">0.90411</td>
<td align="center">0.861</td>
<td align="center">0.577</td>
<td align="center">0.854</td>
</tr>
<tr>
<td align="left"><bold>Innovation capacity</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">3.3885</td>
<td align="center">0.85898</td>
<td align="center">0.847</td>
<td align="center">0.511</td>
<td align="center">0.852</td>
</tr>
<tr>
<td align="left"><bold>Firm performance</bold></td>
<td align="center">207</td>
<td align="center">0</td>
<td align="center">3.3969</td>
<td align="center">0.96338</td>
<td align="center">0.892</td>
<td align="center">0.587</td>
<td align="center">0.887</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>AVE, average variance extracted.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20018">
<title>Correlations and discriminant validity</title>
<p>Discriminant validity means that the inter-construct correlation should not be so high that it is not clear how the different variables measure different constructs (Kline <xref ref-type="bibr" rid="CIT0049">2016</xref>). Discriminant validity can be assessed via the Fornell and Larcker criterion (as applied in this analysis) where, when correlated with the highest squared correlation of another construct, each construct&#x2019;s AVE value should be higher or, secondly, by an examination of factor cross-loadings (Hair et al. <xref ref-type="bibr" rid="CIT0038">2014</xref>). The values in <xref ref-type="table" rid="T0004">Table 4</xref> confirm discriminant validity as the square root of AVE values is higher than the construct coefficients.</p>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Square root of average variance extracted and inter-construct correlation.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Construct</th>
<th valign="top" align="center">AVE</th>
<th valign="top" align="center">EC</th>
<th valign="top" align="center">AC</th>
<th valign="top" align="center">KMC</th>
<th valign="top" align="center">EO</th>
<th valign="top" align="center">IC</th>
<th valign="top" align="center">FP</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">EC</td>
<td align="center">0.698</td>
<td align="center"><bold>0.835</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">AC</td>
<td align="center">0.532</td>
<td align="center">0.208</td>
<td align="center"><bold>0.729</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">KMC</td>
<td align="center">0.533</td>
<td align="center">0.135</td>
<td align="center">0.444</td>
<td align="center"><bold>0.730</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">EO</td>
<td align="center">0.577</td>
<td align="center">0.101</td>
<td align="center">0.249</td>
<td align="center">0.205</td>
<td align="center"><bold>0.759</bold></td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">IC</td>
<td align="center">0.511</td>
<td align="center">0.039</td>
<td align="center">0.306</td>
<td align="center">0.384</td>
<td align="center">0.541</td>
<td align="center"><bold>0.715</bold></td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">FP</td>
<td align="center">0.587</td>
<td align="center">0.106</td>
<td align="center">0.300</td>
<td align="center">0.223</td>
<td align="center">0.298</td>
<td align="center">0.368</td>
<td align="center"><bold>0.766</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Square root of AVE values is displayed in bold on the diagonal.</p></fn>
<fn><p>AVE, average variance extracted; EC, export orientation; AC, absorptive capacity; KMC, knowledge management capacity; EO, export orientation; IC, innovation capacity; FP, firm performance.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20019">
<title>Measurement model evaluation (goodness-of-fit indices)</title>
<sec id="s30020">
<title>Summary of goodness-of-fit results</title>
<p>Goodness-of-fit indices allow the researcher to consider the hypothesised model in relation to the theory (Gerbing &#x0026; Anderson <xref ref-type="bibr" rid="CIT0028">1992</xref>). Kline (<xref ref-type="bibr" rid="CIT0049">2016</xref>:269) recommends the use of 2/<italic>df</italic> statistic, CFI and RMSEA indices should also be applied.</p>
<p>The results presented in <xref ref-type="table" rid="T0005">Table 5</xref> indicate that all the goodness-of-fit indices used reflected good fit for the structural mode. The chi-square (&#x03C7;<sup>2</sup>)/<italic>df</italic> value was 2.552, which falls within the acceptable benchmark of below 3. The &#x03C7;<sup>2</sup>-test statistic is useful in evaluating a model appropriateness for structural path analysis (Schermelleh-Engel &#x0026; Moosbrugger <xref ref-type="bibr" rid="CIT0076">2003</xref>). Also, the CFI value of 0.921 was acceptable as it fell above the 0.9 threshold for an acceptable fit. The root mean square error of approximation value of 0.078 was below the threshold of 0.08, indicating that the goodness-of-fit test is acceptable in line with the recommendations by Kaplan (<xref ref-type="bibr" rid="CIT0047">2009</xref>). Following all the benchmarks on adequacy of the indices and guidelines on acceptable practice (Hair et al. <xref ref-type="bibr" rid="CIT0036">2009</xref>), the results lead to the conclusion that the structural model is sufficiently fit for path analysis.</p>
<table-wrap id="T0005">
<label>TABLE 5</label>
<caption><p>Goodness-of-fit statistics for confirmatory factor analysis of the measurement model.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Goodness-of-fit indices</th>
<th valign="top" align="left">2/<italic>df</italic></th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">RMSEA</th>
<th valign="top" align="center">CFI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Measurement model</td>
<td align="center">2.552</td>
<td align="center">0.000</td>
<td align="center">0.078</td>
<td align="center">0.921</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>&#x03C7;<sup>2</sup>, Chi-square; <italic>df</italic>, degrees of freedom; <italic>p</italic>, significance; RMSEA, root mean square error of approximation; CFI, comparative fit index.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s30021">
<title>The model&#x2019;s predictive power and relevance</title>
<p>As a multivariate analysis technique, SEM employs numerous statistical techniques to measure and analyse the relationships of observed and latent variables. Techniques such as regression analyses are used to examine linear causal relationships between variables. As such, it is important to evaluate the model&#x2019;s predictive power and, in this study, this was achieved using the <italic>R</italic><sup>2</sup> value to determine how well a regression model can make predictions. The results of the predictive power and relevance of the model are presented in <xref ref-type="table" rid="T0006">Table 6</xref>.</p>
<table-wrap id="T0006">
<label>TABLE 6</label>
<caption><p>Model&#x2019;s predictive power and relevance.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Construct</th>
<th valign="top" align="center"><italic>R</italic><sup>2</sup></th>
<th valign="top" align="center"><italic>R</italic><sup>2</sup> adj.</th>
<th valign="top" align="center"><italic>Q</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">FP</td>
<td align="center">59.89&#x0025;</td>
<td align="center">58.15&#x0025;</td>
<td align="center">19.75&#x0025;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>FP, firm performance.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In SEM, as in multiple regression, the <italic>R</italic><sup>2</sup> related the coefficient of multiple determination usually expressed as the adjustment that castigates its value depending on the number of predictor variables included. According to Hair et al. (<xref ref-type="bibr" rid="CIT0037">2019</xref>), the benchmark for an acceptable <italic>R</italic><sup>2</sup> is any value above 50&#x0025;. The results presented in <xref ref-type="table" rid="T0006">Table 6</xref> indicate that a value of 59.89&#x0025; is hence acceptable. In addition, the <italic>Q</italic><sup>2</sup> value was greater than zero (19.75&#x0025;) for the variable FP, indicating the structural model&#x2019;s predictive relevance given the employed dependent variables (Hair et al. <xref ref-type="bibr" rid="CIT0037">2019</xref>). Given the acceptable <italic>R</italic><sup>2</sup> and <italic>Q</italic><sup>2</sup>, there was no need to further adjust the model.</p>
</sec>
<sec id="s30022">
<title>Structural model goodness of fit assessment</title>
<p>As per the general provisions of SEM, there is a need to evaluate the structural model&#x2019;s goodness of fit. This was carried out, and the results obtained are presented in <xref ref-type="table" rid="T0007">Table 7</xref>.</p>
<table-wrap id="T0007">
<label>TABLE 7</label>
<caption><p>Structural model goodness-of-fit assessment.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Goodness-of-fit measure</th>
<th valign="top" align="center">Chisq/<italic>df</italic></th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">RMSEA</th>
<th valign="top" align="center">CFI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Structural model</td>
<td align="center">2.661</td>
<td align="center">0.000</td>
<td align="center">0.0791</td>
<td align="center">0.944</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RMSEA, root mean square error of approximation; CFI, comparative fit index.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In line with the benchmarks stipulated in the evaluation of the goodness of fit of the measurement model, the structural model exhibited good fit with the data. The chi-square or degrees of freedom ratio were below 3, with the <italic>p</italic>-value below the 0.05 level of significance, while RMSEA and CFI were also acceptable at 0.791 and 0.944, respectively. Having satisfied with the conditions stipulated by Bagozzi and Yi (<xref ref-type="bibr" rid="CIT0006">2012</xref>:28) in relation to hypothesis testing, the study proceeded to the next level of analysis.</p>
</sec>
</sec>
</sec>
<sec id="s0023">
<title>Hypothesis testing</title>
<p>The conceptualised research model (<xref ref-type="fig" rid="F0001">Figure 1</xref>) proposed that entrepreneurial competence, absorptive capacity and knowledge management each have a positive and significant relationship with export orientation and innovation capacity, respectively, and that export orientation and innovation capacity each have a positive and significant relationship with firm performance. <xref ref-type="table" rid="T0008">Table 8</xref> shows the hypothesised relationships and regression weights, where the significant effect of variables EC, AC and KMC is indicated by a CR (or <italic>z</italic>) value of &#x003E; 1.96 (Ho <xref ref-type="bibr" rid="CIT0039">2013</xref>:298; Suhr <xref ref-type="bibr" rid="CIT0077">2008</xref>:2) at <italic>p</italic> &#x003C; 0.001 level of significance.</p>
<table-wrap id="T0008">
<label>TABLE 8</label>
<caption><p>Hypothesised relationships and regression weights.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" colspan="3" align="left">Hypothesis</th>
<th valign="top" align="center">Estimate</th>
<th valign="top" align="center">Standard error</th>
<th valign="top" align="center">Composite reliability</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="left">Decision</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">EO</td>
<td align="left">&#x003C;---</td>
<td align="left">AC</td>
<td align="center">0.307</td>
<td align="center">0.202</td>
<td align="center">3.395</td>
<td align="center">0.000</td>
<td align="left">Supported</td>
</tr>
<tr>
<td align="left">IC</td>
<td align="left">&#x003C;---</td>
<td align="left">AC</td>
<td align="center">0.183</td>
<td align="center">0.140</td>
<td align="center">2.072</td>
<td align="center">0.000</td>
<td align="left">Supported</td>
</tr>
<tr>
<td align="left">EO</td>
<td align="left">&#x003C;---</td>
<td align="left">KMC</td>
<td align="center">0.033</td>
<td align="center">0.197</td>
<td align="center">0.388</td>
<td align="center">0.000</td>
<td align="left">Supported</td>
</tr>
<tr>
<td align="left">IC</td>
<td align="left">&#x003C;---</td>
<td align="left">KMC</td>
<td align="center">0.357</td>
<td align="center">0.158</td>
<td align="center">3.745</td>
<td align="center">0.000</td>
<td align="left">Supported</td>
</tr>
<tr>
<td align="left">EO</td>
<td align="left">&#x003C;---</td>
<td align="left">EC</td>
<td align="center">&#x2212;0.186</td>
<td align="center">0.111</td>
<td align="center">&#x2212;2.483</td>
<td align="center">0.013</td>
<td align="left">Rejected</td>
</tr>
<tr>
<td align="left">IC</td>
<td align="left">&#x003C;---</td>
<td align="left">EC</td>
<td align="center">&#x2212;0.045</td>
<td align="center">0.077</td>
<td align="center">&#x2212;0.607</td>
<td align="center">0.544</td>
<td align="left">Rejected</td>
</tr>
<tr>
<td align="left">FP</td>
<td align="left">&#x003C;---</td>
<td align="left">IC</td>
<td align="center">0.263</td>
<td align="center">0.105</td>
<td align="center">3.278</td>
<td align="center">0.001</td>
<td align="left">Supported</td>
</tr>
<tr>
<td align="left">FP</td>
<td align="left">&#x003C;---</td>
<td align="left">EO</td>
<td align="center">0.151</td>
<td align="center">0.069</td>
<td align="center">2.030</td>
<td align="center">0.000</td>
<td align="left">Supported</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>EC, export orientation; AC, absorptive capacity; KMC, knowledge management capacity; EO, export orientation; IC, innovation capacity; FP, firm performance.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The results in <xref ref-type="table" rid="T0008">Table 8</xref> indicate that out of the eight hypotheses, six were supported at 0.01 significance level. H1 stated that there is a positive and significant relationship between AC and EO, and the results show a beta coefficient of (&#x03B2;) 0.307 at <italic>p</italic> &#x003C; 0.001. This implies that H1 was supported. Similarly, H2, H3 and H4 with &#x03B2; values of 0.183, 0.033 and 0.357, respectively, were supported. However, H5 and H6 were not supported. These predicted a positive and significant relationship, and the results indicate &#x03B2; values of &#x2212;0.186 and &#x2212;0.045 for the two hypotheses, respectively. Also, the results were not statistically significant as H5 had a <italic>p</italic> value of 0.013 and 0.544 for H6. Regarding H7 and H8, these hypotheses were both supported at &#x03B2; values of 0.263 and 0.151, respectively.</p>
</sec>
<sec id="s0024">
<title>Discussion</title>
<p>The data show that absorptive capacity bears a positive relationship with export orientation (the CR or <italic>z</italic> value is 3.395 at <italic>p</italic> &#x003C; 0.001 level of significance). Absorptive capacity was posited as an important capability for an SME to position itself for the export activity and market in this study. With SMEs seeking to enter the export market faced with a number of challenges as they begin to explore unchartered waters, the study found that the ability to learn and assimilate new knowledge will stand SMEs in good stead as they expand their markets beyond the present boundaries.</p>
<p>The study hypothesised a positive and significant relationship between absorptive capacity and innovation capacity for SMEs. The results show that absorptive capacity bears a positive relationship with innovation capacity (CR or <italic>z</italic> value is 2.072 at <italic>p</italic> &#x003C; 0.001 level of significance). Thus, this study presupposed that as a transformative learning process, absorptive capacity enables the innovation process, which according to the literature starts with a creative idea to develop useful or marketable outputs (Gebauer et al. <xref ref-type="bibr" rid="CIT0027">2012</xref>; Molinari et al. <xref ref-type="bibr" rid="CIT0064">2014</xref>). Through the primary data, this study confirmed a positive and significant relationship between absorptive capacity and innovation capacity, which is in line with other studies (Ali et al. <xref ref-type="bibr" rid="CIT0002">2016</xref>; Enkel et al. <xref ref-type="bibr" rid="CIT0021">2017</xref>; Engelman et al. <xref ref-type="bibr" rid="CIT0020">2017</xref>). The findings in this study suggest that integrating new information with the existing knowledge, which is an important characteristic of absorptive capacity, will lead to improved capacity to innovate.</p>
<p>The study postulated that there is a positive and significant relationship between knowledge management capability and export orientation. The results indicate that knowledge management capability bears a positive relationship with export orientation (the CR or <italic>z</italic> value is 0.388, at <italic>p</italic> &#x003C; 0.001 level of significance). To avoid the overlap of meaning between absorptive capacity and knowledge management in terms of knowledge acquisition and use, knowledge management was used in this study with specific reference to the practices and tools deployed to allow for knowledge creation conversion (Cerchione &#x0026; Esposito <xref ref-type="bibr" rid="CIT0015">2017</xref>). The results indicate that learning is important for the development of an export orientation as well as later on, when the exporter is learning by exporting. The results also showed that knowledge management has a positive relationship with innovation capacity (CR or <italic>z</italic> value is 3.745 at <italic>p</italic> &#x003C; 0.001 level of significance). These results confirm findings from previous studies, which found that knowledge management is positively associated with innovation, and that knowledge management supports the innovation strategy (Gonzalez &#x0026; Martins <xref ref-type="bibr" rid="CIT0033">2014</xref>; Li et al. <xref ref-type="bibr" rid="CIT0056">2014</xref>; Mart&#x00ED;n-De Castro <xref ref-type="bibr" rid="CIT0061">2015</xref>). The study enhanced the understanding of the importance of the knowledge management infrastructure to be in place if SMEs are to improve their innovation capacity.</p>
<p>The analysis showed that entrepreneurial competence is not a significant predictor of export orientation (the CR or <italic>z</italic> value was &#x2212;2.483). A few empirical studies (Fern&#x00E1;ndez-Mesa &#x0026; Alegre <xref ref-type="bibr" rid="CIT0022">2015</xref>; Game &#x0026; Apfelthaler <xref ref-type="bibr" rid="CIT0025">2016</xref>; Kuivalainen et al. <xref ref-type="bibr" rid="CIT0051">2010</xref>) have found a positive relationship between entrepreneurial competence and export orientation, often based on the entrepreneur&#x2019;s own international experience, knowledge and outlook towards trading beyond domestic borders. The findings from this study, however, point to a significant but negative relationship between entrepreneurial competence and export orientation. The findings could suggest that the more competent the entrepreneur feels, the more they believe that they can exploit and rely on local opportunities and the less likely that their export orientation will grow. Increased focus on the local market would be at the expense of their SME export orientation.</p>
<p>Again, the study hypothesised a positive and significant relationship between entrepreneurial competence and innovation capacity. The results showed that entrepreneurial competence is not a significant predictor of innovation capacity (CR or <italic>z</italic> = &#x2212;0.607). Interestingly, the findings point to a negative relationship between entrepreneurial competence and SME innovation capacity. Entrepreneurial competence involves competence in decision making, task auctioning and building organisational capabilities (Man et al. <xref ref-type="bibr" rid="CIT0058">2002</xref>, <xref ref-type="bibr" rid="CIT0059">2008</xref>). While these tasks may be relevant to building innovation capacity through the entrepreneur&#x2019;s ability to contribute knowledge and technology management, idea management, project management and commercialisation ability (Doroodian et al. <xref ref-type="bibr" rid="CIT0018">2014</xref>), it would seem from the results of this study that there is more to innovation capacity than entrepreneurial competence. Put differently, it is possible that the relationship between entrepreneurial competence and innovation capacity needs to be mediated. As Lechner and Gudmundsson (<xref ref-type="bibr" rid="CIT0054">2014</xref>) aver, decisions about developing innovation capacity are derived from the firm&#x2019;s overall strategy for competitiveness, which is driven by entrepreneurial competence in executing the aforementioned entrepreneurial tasks.</p>
<p>The analysis showed that innovation capacity has a positive impact on firm performance (CR or <italic>z</italic> value is 3.278 at <italic>p</italic> &#x003C; 0.001 level of significance). The literature indicates a positive relationship between innovation capacity and firm performance despite the cost of investment in innovation (Braga &#x0026; Braga <xref ref-type="bibr" rid="CIT0010">2013</xref>; Jim&#x00E9;nez-Jim&#x00E9;nez and Sanz-Valle, <xref ref-type="bibr" rid="CIT0043">2011</xref>; Kafetzopoulos &#x0026; Psomas <xref ref-type="bibr" rid="CIT0045">2015</xref>). To strike a balance between innovation costs and positive performance effects, Buddelmeyer et al. (<xref ref-type="bibr" rid="CIT0011">2010</xref>) emphasised the importance of innovation capacity, as illustrated by the fact that trademarks and patents are registered to provide protection for the firm from intellectual property theft.</p>
<p>The analysis showed that export orientation has a positive impact on firm performance (CR or <italic>z</italic> value is 2.030 at <italic>p</italic> &#x003C; 0.001 level of significance). This result supported what was put forward by Navarro-Garcia et al. (<xref ref-type="bibr" rid="CIT0065">2015</xref>) that when export orientation was conceptualised as a conscious effort to seek foreign market opportunities, it was found to enable accelerated internationalisation, which, in turn, showed positive firm performance effects. When export orientation was conceptualised as the growth in the domestic footprint as indicative of the ability to expand abroad (Fernandez-Ortiz et al. <xref ref-type="bibr" rid="CIT0023">2015</xref>), a positive effect on firm performance was predicted on the basis that growth in the domestic market as a positive firm performance indicator leads to an export commitment, which is described as the satisfactory achievement of export sales targets over a three-year period following the export entry.</p>
</sec>
<sec id="s0025">
<title>Conclusion</title>
<p>The results of this study indicated that absorptive capacity and knowledge management capabilities are certainly significant capabilities that should be embedded in the SME business, in view of their role in positively influencing the development of export orientation and innovation capacity, and that the influence of entrepreneurial competence is not significant enough. Based on the foregoing, this study&#x2019;s findings extend Ocasio&#x2019;s (<xref ref-type="bibr" rid="CIT0068">1997</xref>) principle of distributed focus of attention and wish to posit a possible new theory called <italic>SME Export and Innovation Attention Theory</italic>. This yet-to-be developed theory postulates that the success of the export orientation and innovation capacity of SMEs should be based on the distributed resources, capabilities and knowledge across the SME and not on the entrepreneurial competence of the owner. This theory suggests that once the SME wishes to expand its market across the borders and decides to invest in its innovation capacity, it is time that the entrepreneur or founder or owner relinquishes his or her power to the rest of the business. The findings of this study may also go a long way in shedding light into the entrepreneurship growth theories, which in part seek to understand at what point the entrepreneur should involve a team in moving the business strategy forward as many seem to keep holding on because of the financial and emotional attachment to the business.</p>
<p>The study&#x2019;s findings point to the fact that entrepreneurs should depend less on their own competence and skills to position their SMEs for the export market and innovation and should rather mobilise, configure and deploy resources, such as knowledge, and build organisational capabilities such as knowledge management and absorptive capacity capabilities. To that end, entrepreneurs need to make present-time investments in productivity, which is critical for future export behaviour, as the firm needs to improve its profitability in order to be able to absorb the future cost of learning about and undertaking global ventures</p>
<p>Having reflected on the findings of this study, a number of recommendations are proffered. Firstly, the study recommends that given the nature and amount of information flows, SMEs seek for opportunities that improve their ability to assimilate, learn and use new knowledge and information pertinent to their businesses. Recognising the value of new knowledge and information from within and between individuals, departments and units is a key step in enhancing absorptive capacity. To that end, it is vital for SMEs to put in place coordination mechanisms. This necessitates the establishment of a knowledge management system, which forms part of the ICT infrastructure. Such a system will enable an SME to organise and distribute its body of knowledge to the right people at the right time. Improved absorptive capacity and knowledge management capability will likely lead to enhanced export orientation and innovation capacity and business performance, as shown by the results of this study.</p>
<p>The study also recommends that although an entrepreneur or the founder of the business generally wields the most influence concerning the strategic direction of the SME, his or her entrepreneurial competence may not be sufficient if the SME needs to embark on innovative projects or venture into the export market. This is because the findings have shown a negative relationship between entrepreneurial competence and export orientation and innovative capacity. Thus, it is vital for such capabilities to be spread across the SME and not be limited to one person. Investment in improving absorptive capacity and knowledge management capability of the SME would be a better choice as the study has already confirmed a significant and positive relationship between absorptive capacity and knowledge management capability, on the one hand, and export orientation and innovation capacity and SME performance, on the other hand.</p>
<p>Like many studies, this one has not been without its limitations. The absence of one sample frame made it impossible to employ a probability sampling as originally desired. Consequently, purposive sampling was used, which means that the results of this study cannot necessarily be generalised but can only be limited to the selected sample. As the study adopted a quantitative approach using a survey, the researcher naturally missed on the thick descriptions that would otherwise have been offered had the study adopted a mixed method where the qualitative aspects would also have been considered. Future studies could adopt a longitudinal study where export orientation and innovation capacity are observed over time. An unexpected finding of a negative association between entrepreneurial competence and SME export orientation and innovation capacity makes for an interesting exploration. The model could be further expanded by investigating technology adoption as a mediator for export orientation and innovation capacity.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20026" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20027">
<title>Authors&#x2019; contributions</title>
<p>G.J.H. conceptualised the study and wrote the first draft article; D.P. supervised the study and edited the article.</p>
</sec>
<sec id="s20028">
<title>Ethical considerations</title>
<p>This study followed all ethical standards for research without direct contact with human or animal subjects.</p>
</sec>
<sec id="s20029">
<title>Funding information</title>
<p>This research work received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.</p>
</sec>
<sec id="s20030">
<title>Data availability</title>
<p>The data that support the findings of this study can by made available by the corresponding author, D.P., upon reasonable request.</p>
</sec>
<sec id="s20031">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Harrison, G.J. &#x0026; Pooe, D., 2022, &#x2018;Modelling the antecedents for export orientation, innovation capacity and performance for South African manufacturing SMEs&#x2019;, <italic>Acta Commercii</italic> 22(1), a989. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/ac.v22i1.989">https://doi.org/10.4102/ac.v22i1.989</ext-link></p></fn>
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