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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-16-408</article-id>
<article-id pub-id-type="doi">10.4102/ac.v16i1.408</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Influence of gender on SME performance in emerging economies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shava</surname>
<given-names>Herring</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rungani</surname>
<given-names>Ellen C.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Business Management, University of Fort Hare, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Herring Shava, <email xlink:href="hshava@ufh.ac.za">hshava@ufh.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>30</day><month>11</month><year>2016</year></pub-date>
<pub-date pub-type="collection"><year>2016</year></pub-date>
<volume>16</volume>
<issue>1</issue>
<elocation-id>408</elocation-id>
<history>
<date date-type="received"><day>14</day><month>06</month><year>2016</year></date>
<date date-type="accepted"><day>11</day><month>09</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2016. The Authors</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
<license-p>AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Research purpose</title>
<p>The aim of this article was to establish whether or not performance between male-owned and female-owned small and medium-sized entities (SMEs) differs significantly and to assess the extent to which the gender gap in SME performance (if any) could be allocated to gender differences in levels of business-related experience.</p>
</sec>
<sec id="st2">
<title>Motivation for the study</title>
<p>The influence of gender on SME performance is well documented from an international perspective. However, what lacks in extant literature is the understanding of whether the performance gap between male and female entity owners with similar business-related experience exists or not. This study investigated gender influence through data collected from both male and female entity owners.</p>
</sec>
<sec id="st3">
<title>Research design, approach and method</title>
<p>The study was descriptive by design. Primary data were collected through self-administered questionnaires. Data analysis was undertaken through <italic>t</italic>-test and chi-square analysis.</p>
</sec>
<sec id="st4">
<title>Main findings</title>
<p>The findings confirm that male- and female-owned SMEs perform at similar levels, given that such owners possess high business-related experience. Therefore, gender gap in firm performance does not exist among male and female entrepreneurs who fall either in low or high business-related experience categories.</p>
</sec>
<sec id="st5">
<title>Contribution/value-add</title>
<p>The value of this research lies in the findings contrary to extant literature; that gender plays no role in the performance of SMEs. However, the level of business-related experience the owner holds, regardless of gender, influences the entity&#x2019;s performance.</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>Contrary to evidence provided in literature, the study concludes that focusing on the impact of gender on entrepreneurship with the aim of comparing business outcomes of male- and female-owned entities, while ignoring the role of key variables such as business-related experience, may yield misleading results.</p>
</sec>
</abstract>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>The severity of specific problems faced by small and medium-sized entities (SMEs) differs, owing to the business sector, SME owner&#x2019;s/manager&#x2019;s gender and experience, size of the business, legal structure as well as age of the firm (Fatoki &#x0026; Asah <xref ref-type="bibr" rid="CIT0027">2011</xref>; Omiunu <xref ref-type="bibr" rid="CIT0043">2014</xref>). Without controlling for any variables, evidence from Cameroon, an emerging economy, reveals that gender is not associated with business outcomes (Akinboade <xref ref-type="bibr" rid="CIT0001">2015</xref>). Extant literature from established economies shows that performance of SMEs is strongly linked to prior business experience of the owner/manager (Delmar &#x0026; Wiklund <xref ref-type="bibr" rid="CIT0018">2008</xref>; Dyke, Fischer &#x0026; Reuber <xref ref-type="bibr" rid="CIT0019">1992</xref>; Richbell, Watts &#x0026; Wardle <xref ref-type="bibr" rid="CIT0047">2006</xref>). Soriano and Castrogiovanni (<xref ref-type="bibr" rid="CIT0057">2012</xref>) and Popescu, Deaconu and Popescu (<xref ref-type="bibr" rid="CIT0045">2014</xref>) pointed out that most firms underperform because of a lack of managerial skills and experience. In small firms, the owner often assumes the role of a manager (Popescu <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0045">2014</xref>). Owing to this condition, the performance of the entity relies heavily on the experience of the owner/manager. This implies that business-related experience plays a significant role in a firm&#x2019;s performance. In addition, literature suggests that business-related experience varies between male and female firm owners (Fischer, Reuber &#x0026; Dyke <xref ref-type="bibr" rid="CIT0028">1993</xref>; Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>). In light of this debate, this study sought to establish whether or not performance between male-owned and female-owned SMEs differs significantly, and to assess the extent to which the gender gap in SME performance (if any) could be allocated to gender differences in levels of business-related experience.</p>
<p>Evidence provided by Fapohunda (<xref ref-type="bibr" rid="CIT0024">2013</xref>) from Nigeria, an emerging economy, highlights that business-related experience of SME owners is mixed, thereby leading to mixed business outcomes. Gottschalk and Niefert (<xref ref-type="bibr" rid="CIT0031">2012</xref>) as well as Eikhof, Summers and Carter (<xref ref-type="bibr" rid="CIT0021">2013</xref>) pointed out that female-owned businesses are not only fewer in number but are also characterised by lower outcomes compared with their male-owned counterparts. This is in contrast to earlier evidence, also from Nigeria, provided by Mba (<xref ref-type="bibr" rid="CIT0039">2006</xref>). Mba (<xref ref-type="bibr" rid="CIT0039">2006</xref>) revealed that women entrepreneurs possess less valuable, managerial and self-employment experience; thus suggesting that women-owned firms are likely to underperform owing to lack of business-related experience. Conversely, Amobi (<xref ref-type="bibr" rid="CIT0003">2006</xref>) provided evidence that female entrepreneurs have similar, and sometimes more, business-related experience than male entrepreneurs.</p>
<p>The mentioned issues imply that gender plays a pivotal role in disclosure of differences, thereby leading to an observed performance gap. However, there is no consensus among researchers on this topic, and research is necessary to help our understanding. There is little research from a South African perspective focusing on gender differences and SME performance. Therefore, studies carried out in developed countries such as Germany (Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>) and the USA (Fairlie &#x0026; Robb <xref ref-type="bibr" rid="CIT0023">2009</xref>) are not fully adequate to substantiate theories related to gender differences. After a thorough review of literature, it became evident that literature with regard to gender differences and SME performance, particularly from emerging economies, is limited when compared with evidence from developed countries. However, Terjesen and Hessels (<xref ref-type="bibr" rid="CIT0059">2016</xref>) argued that it is important to reveal the diverse nature of entrepreneurship across countries, specifically its role in explaining business outcomes at micro- and macrolevels. In an attempt to contribute to entrepreneurship literature, this study adopts a different dimension and focuses on gender differences and SME performance from an emerging economy&#x2019;s perspective.</p>
<sec id="s20002">
<title>Research objectives</title>
<p>The article investigated whether performance differs between male-owned and female-owned South African SMEs. Firm performance can be assessed making use of growth and profitability measures. Carton and Hofer (<xref ref-type="bibr" rid="CIT0012">2006</xref>) argued that growth is an essential indicator of firm performance and success. To measure SME performance, we adopted growth indicators, namely growth in sales, growth in market share, growth in employees, growth in profitability, increase in profit margins and the ability to fund expansion activities from profit. These indicators were preferred as they highlight the effectiveness of a firm in expanding in existing markets or opening new markets. Financial performance is often measured through profit measures such as return on assets and return on sales. Profit measures in their essence shed light on the firm&#x2019;s operational efficiency. The discussion to follow provides theoretical background to the study. After the theoretical background, we then describe how female-owned enterprises perform poorly when compared with male-owned enterprises. According to Klapper and Parker (<xref ref-type="bibr" rid="CIT0036">2011</xref>), this claim is well supported in literature. This led us to critically examine the credibility of the notion that when an entity is male-owned, it therefore follows that it will outperform a female-owned entity. To undertake this task, we controlled business-related experience between genders. Thus, we attempted to establish the degree to which the gender gap in SME performance could be allocated to gender differences in levels of business-related experience. Although literature is reviewed from both developed and developing nations, we seek to contribute to this debate through evidence from an emerging economy&#x2019;s perspective.</p>
</sec>
<sec id="s20003">
<title>Theoretical background</title>
<p>The social feminist (hereafter, SF) theory outlines that women differ inherently, because of differences derived from early socialisation (Calas &#x0026; Smircich <xref ref-type="bibr" rid="CIT0011">1989</xref>). Compared with men, women thus inherently have different attitudes towards risk and growth, and as a result they pursue different goals (Verheul, Thurik &#x0026; Grilo <xref ref-type="bibr" rid="CIT0062">2008</xref>). Due to their different attitudes towards risk and growth, women, therefore, adopt a different approach to business activities, thus resulting in small business entity size and lower expansion rates (Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>). As pointed out by Fischer, Reuber and Dyke (<xref ref-type="bibr" rid="CIT0028">1993</xref>), the SF theory holds that there are differences between males&#x2019; and females&#x2019; experiences from the earliest moments of life. In the course of life, these differences result in both men and women viewing the world differently. Calas and Smircich (<xref ref-type="bibr" rid="CIT0011">1989</xref>) indicated that the SF theory argues that female experiences present an equally valid basis for the development of knowledge and organising the society. Compared to the liberal feminist theory&#x2019;s view, males and females are not considered essentially similar by fundamental nature. Thus, males and females are able to share experiences which are assumed to help define a group-based rationality or mode of comprehension. It is, however, argued that neither the male nor the female mode of perception is regarded as innately superior or more functional to the benefit of society (Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>).</p>
</sec>
</sec>
<sec id="s0004">
<title>Literature review</title>
<p>The literature review section is organised as follows: the influence of gender on SME performance, gender differences in SME performance and contributing factors to the gender gap in SME performance.</p>
<sec id="s20005">
<title>Influence of gender on SME performance</title>
<p>To illustrate the influence of gender on SME performance, research highlights several gender-related factors that either positively or negatively affect business performance. Such issues vary and include cultural factors, hours worked by owner, domestic and child care responsibilities for both men and women and tasks performed in business by both sexes, among others.</p>
<sec id="s30006">
<title>Cultural presuppositions by gender related to business performance</title>
<p>Female-owned businesses, in absolute terms, are less than those owned by men (Eikhof <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0021">2013</xref>; Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>). It has also come to light that women&#x2019;s overall experience, skills and knowledge of venturing into business activities are below average (Naud&#x00E9; <xref ref-type="bibr" rid="CIT0042">2013</xref>). On the other hand, traditional expectations with regard to the male gender in societal settings have not shifted significantly. In other words, societies still consider men as breadwinners, whereas women are expected to fulfil household duties and, more importantly, to care for the family (Chinomona &#x0026; Maziriri <xref ref-type="bibr" rid="CIT0013">2015</xref>). It is, therefore, appropriate to indicate that female SME owners experience a &#x2018;dual burden&#x2019; daily (Singh <xref ref-type="bibr" rid="CIT0056">2012</xref>). To that effect, female SME owners operating their own business enterprises are more likely to have lower motivation to achieve high performance, compared with their male counterparts, as their time has to be divided between work and home (Hundley <xref ref-type="bibr" rid="CIT0033">2001</xref>). This has a negative impact on women&#x2019;s entrepreneurial efforts, and more importantly, the ability to gain business-related experience, which is crucial for better firm performance (Klapper &#x0026; Parker <xref ref-type="bibr" rid="CIT0036">2011</xref>).</p>
</sec>
<sec id="s30007">
<title>Hours worked by owners and business performance</title>
<p>In their study, Elizabeth and Baines (<xref ref-type="bibr" rid="CIT0022">1998</xref>) found that 47% of business owners surveyed, reported working at least 48 hours in a normal week. However, 69% of the respondents revealed working at least 48 hours in a busy week. Furthermore, the male mean number of normal working hours for sole men-owned businesses was found to be 49 hours per week, compared with 43 hours for sole female-owned enterprises. The sharp difference between the two is most likely a factor of the respective obligations of males and females related to family care and domestic work (Hundley <xref ref-type="bibr" rid="CIT0033">2001</xref>). As indicated earlier, women in business face the &#x2018;dual burden&#x2019; and therefore in some instances they face the inevitable, which includes trading off potential income earning time for time devoted to household tasks. Research concurs with the above assertion and points out that when it comes to time and energy, female small business owners, compared with their male counterparts, are more strained by domestic responsibilities and fewer working hours (Fairlie &#x0026; Robb <xref ref-type="bibr" rid="CIT0023">2009</xref>; Gottschalk &#x0026; Niefert <xref ref-type="bibr" rid="CIT0031">2012</xref>). However, Eikhof <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0021">2013</xref>) found that women who operate micro-enterprises from their backyard were also working long hours just like men. This also suggests that the variance in working hours between men and women is a result of sector, entity type and business location.</p>
</sec>
<sec id="s30008">
<title>Domestic tasks and child care responsibilities and business performance</title>
<p>Research shows that married enterprise owners have the highest proportion of dependent children (Eikhof <xref ref-type="bibr" rid="CIT0020">2012</xref>; Elizabeth &#x0026; Baines <xref ref-type="bibr" rid="CIT0022">1998</xref>). Research further indicates that women, not men, bear the main responsibility of caring for the children (Eikhof <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0021">2013</xref>). This suggests that female-owned SMEs are less likely to perform at the same level as male-owned SMEs, since women SME owners have to divide their productive time in a way that accommodates diverse tasks such as domestic work and child care responsibilities in addition to their business ventures (Hundley <xref ref-type="bibr" rid="CIT0033">2001</xref>).</p>
</sec>
<sec id="s30009">
<title>Tasks performed in business by males and females</title>
<p>When married couples participate in business activities together, their roles are more likely to follow traditional gender-related roles or patterns. Therefore, an insignificant number of married SME owners share professional and management tasks. A South African study by Billson (<xref ref-type="bibr" rid="CIT0005">2011</xref>) reported that women are responsible for the downfall and poor growth of their firms as they are not as proactive and adventurous as men. Thus, women are more active in secretarial activities and invisible in decision-making (Vadnjal &#x0026; Zupan <xref ref-type="bibr" rid="CIT0060">2009</xref>). Boden (<xref ref-type="bibr" rid="CIT0006">1996</xref>) argued that administrative jobs reward women with work experience that poorly matches entrepreneurship demands in case they switch careers in the future.</p>
</sec>
<sec id="s30010">
<title>Input into business by women and men and business performance</title>
<p>Powell, Kimberly and Eddleston (<xref ref-type="bibr" rid="CIT0046">2008</xref>) argued that owner inputs acquired prior to firm ownership have a significant influence on the performance of the firm. Menzies, Diochon and Gasse (<xref ref-type="bibr" rid="CIT0040">2004</xref>) supported this notion and pointed out that literature reveals that inputs of male and female SME owners play a major role when accounting for growth limitations and underperformance of female-owned SMEs. In emerging economies, inputs of males and females vary, ranging from human capital to financial capital resources (Fatoki <xref ref-type="bibr" rid="CIT0025">2011</xref>). According to Elizabeth and Baines (<xref ref-type="bibr" rid="CIT0022">1998</xref>), married women who are in business together with their husbands tend to perform business activities of which they normally have limited experience, and therefore prior training is crucial in executing such tasks. On the contrary, male business owners often venture into business sectors of which they have previously gained the required skills and related experience (Fairlie &#x0026; Robb <xref ref-type="bibr" rid="CIT0023">2009</xref>).</p>
<p>It should, however, be noted that regardless of whether married men or women participate together either as employees, or unpaid helpers, gender divisions of labour are generally influenced by tradition or culture (Botha <xref ref-type="bibr" rid="CIT0009">2009</xref>; Goffee &#x0026; Scase <xref ref-type="bibr" rid="CIT0030">1985</xref>). However, there are various benefits of seeking family support in both men- and women-owned businesses. For example, it is clear that during unfavourable economic conditions, family support could enhance the possibility of the survival. Furthermore, male and female SME owners who have growth as their main goal have a choice to rely or not to rely on their spouse or other family members who are likely to work tirelessly in order to create and maintain wider networks, which could generate information, ideas and skills.</p>
</sec>
</sec>
<sec id="s20011">
<title>Gender differences in SME performance</title>
<p>Literature from established economies provides a clear picture of how male- and female-owned firms differ in performance-related issues &#x2013; firm closure rates, level of sales, profits and employment creation (Kalleberg &#x0026; Leicht <xref ref-type="bibr" rid="CIT0034">1991</xref>; Robb <xref ref-type="bibr" rid="CIT0049">2002</xref>; Robb &#x0026; Wolken <xref ref-type="bibr" rid="CIT0051">2002</xref>; Rosa, Carter &#x0026; Hamilton <xref ref-type="bibr" rid="CIT0053">1996</xref>). What is common in these studies is that female-owned firms were found more likely to cease business operations than male-owned firms. These findings suggest that female-owned enterprises have poor levels of profits and sales. In addition, they offer few employment opportunities to the general society.</p>
<p>Farlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>) analysed data gathered by the Characteristics of Business Ownership between the years 1992 and 1996 for small enterprises in the USA. Fairlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>) compared profits, average employment, closure rates and average sales between female- and male-owned small enterprises. Their findings revealed interesting differences related to gender on different areas of business performance indicators mentioned earlier. First, female-owned entities compared with 36.4% of male-owned entities reported profits of at least $10 000 per annum. Second, female-owned business entities also conducted business activities for a shorter period compared with male-owned business entities. Thus, the average probability of enterprise closure for female-owned business entities was 24.4%, whereas that of their male counterparts was 21.6%. Third, male-owned business entities were found to be substantially superior to female-owned business entities on average sales performance. The mean score for sales was 10.36% for men-owned entities, compared with 9.57% for women-owned entities. Fourth, male-owned business entities created more job opportunities (23.2%) than female-owned business entities (16.4%).</p>
<p>Significant research endeavours such as those of Fairlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>), Loscocco <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0037">1991</xref>), Hundley (<xref ref-type="bibr" rid="CIT0033">2001</xref>), Coleman (<xref ref-type="bibr" rid="CIT0015">2002</xref>), Watson (<xref ref-type="bibr" rid="CIT0063">2002</xref>) and Gatewood <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0029">2009</xref>) came to the same conclusion. These studies focused on sales, employment creation and profits. Their main findings were that female-owned firms performed poorly in all three performance indicators investigated when compared with male-owned firms. Srinivisan, Woo and Cooper (<xref ref-type="bibr" rid="CIT0058">1994</xref>) assessed the impact of gender on firm performance. They relied on data compiled by the National Federation of Independent Business, a US organisation. The probability of firm closure was found to be high for female-owned firms, largely indicating that they were underperforming when compared with male-owned firms. Robb (<xref ref-type="bibr" rid="CIT0048">2000</xref>) found that around 25% of female-owned enterprises had the capacity to hire formal labour. In the same study, the survival rate for male-owned firms was reported to be significantly higher than that of female-owned firms. Boden and Nucci (<xref ref-type="bibr" rid="CIT0007">2000</xref>), relying on the &#x2018;CBO data&#x2019;, concurred with the findings of Robb (<xref ref-type="bibr" rid="CIT0048">2000</xref>) and stated that women-owned firms were less likely to survive than male-owned firms.</p>
<p>Robb (<xref ref-type="bibr" rid="CIT0050">2008</xref>) further agreed with other empirical studies mentioned above and relied heavily on &#x2018;Kauffman Firm Survey Data&#x2019; collected from newly established businesses. Robb reported the presence of the gender gap in a firm&#x2019;s performance, which is evident in low turnover, poor earnings, average employment, and more importantly, in survival rates statistics. Empirical evidence available and reviewed suggests that there is a significant difference between gender and firm performance. Consequently, the researchers of this study propose the following hypothesis:</p>
<p><italic>H1: No significant difference exists in performance of male- and female-owned SMEs.</italic></p>
<p>When empirical evidence reviewed is taken into consideration, possible contributing factors to a gender gap in SME performance should receive attention.</p>
</sec>
<sec id="s20012">
<title>Contributing factors to gender gap in SME performance</title>
<p>The experience of an individual is significantly related to their performance, especially in &#x2018;areas of managerial endeavour&#x2019; (Dyke <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0019">1992</xref>). In Shava and Rungani (<xref ref-type="bibr" rid="CIT0055">2014</xref>), it was highlighted that experience is a variable of human capital. This article broadens the concept of experience. The discussion to follow reviews literature on managerial, industry and prior business ownership experience, conceptualised as business-related experience (Shava &#x0026; Rungani <xref ref-type="bibr" rid="CIT0055">2014</xref>). In this discussion, the concept of business-related experience is linked to gender and firm performance. The aim of this section is to discuss in detail the gender gap in business-related experience as a contributing factor to the gender gap in firm performance.</p>
<sec id="s30013">
<title>Gender, prior business ownership experience and SME performance</title>
<p>According to Headd (<xref ref-type="bibr" rid="CIT0032">2003</xref>), having prior business ownership experience is expected to be positively correlated with performance of a firm. This is likely to be the case as lessons learnt often translate into competent decision-making. However, Robb and Watson (<xref ref-type="bibr" rid="CIT0052">2012</xref>) noted that research by Cooper, Gimeno-Gascon and Woo (<xref ref-type="bibr" rid="CIT0016">1994</xref>) as well as by Fairlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>) found that women are more likely to possess low levels of prior business ownership experience compared with men. Empirical evidence suggests that human capital variables could, conceivably, affect firm performance (Fatoki <xref ref-type="bibr" rid="CIT0025">2011</xref>; Robb &#x0026; Watson <xref ref-type="bibr" rid="CIT0052">2012</xref>). Robb and Watson (<xref ref-type="bibr" rid="CIT0052">2012</xref>), however, suggested that human capital variables and other demographic variables should be measured at the same level (controlled) between genders, when assessing entrepreneurial outcomes, for example firm performance. In their study, they report the absence of a gender gap in firm performance after controlling for industry, prior business ownership experience and hours worked.</p>
</sec>
<sec id="s30014">
<title>Gender, managerial experience and SME performance</title>
<p>Amin and Kushnir (<xref ref-type="bibr" rid="CIT0002">2012</xref>) provided evidence from 71 emerging economies by pointing out that managerial experience is quite vital to entrepreneurs, for it can shed light on how to implement and prioritise policies aimed at attaining positive outcomes for a business entity. In their findings, Amin and Kushnir (<xref ref-type="bibr" rid="CIT0002">2012</xref>) reported that in 13 out of 71 emerging economies, women were found to possess high managerial experience compared with men. A study conducted by Berger, Kirk and Schaeck (<xref ref-type="bibr" rid="CIT0004">2012</xref>), covering German banks, found that teams with more female executives tended to take more risky decisions that were potentially a threat to the firm&#x2019;s future existence. The empirical study further suggests that this finding is influenced by the fact that female executives have less managerial experience than male executives.</p>
</sec>
<sec id="s30015">
<title>Gender, industry experience and SME performance</title>
<p>Dyke <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0019">1992</xref>) found that an owner&#x2019;s previous experience in the industry in which the current firm operates is significantly and positively related to performance. Bosma <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0008">2004</xref>) investigated the relationship between industry experience and firm performance. Survival, profitability and growth were the performance indicators utilised in that study. The results revealed that industry experience substantially improved firm performance. Keeley and Roure (<xref ref-type="bibr" rid="CIT0035">1990</xref>) examined the effect of industry experience on a technology-based firm, and Van De Ven, Hudson and Schroeder (<xref ref-type="bibr" rid="CIT0061">1984</xref>) examined the effect of industry experience on an educational software firm. The above studies argued that there is no significant relationship between industry experience and firm performance. However, commenting on the disparities in prior work experiences, Fairlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>) pointed out that the effects of this type of prior work experience are significant and may thus explain part of the gender gap in business performance. De Tienne and Chandler (<xref ref-type="bibr" rid="CIT0017">2007</xref>), in their study, revealed how industry experience affected opportunity identification in male and female entrepreneurs. They revealed that for females, the number of previous jobs and industry positively predicted the number of opportunities identified and accounted for 20% of the variance compared with 5% in males. The findings of De Tienne and Chandler suggest that the higher the levels of male industry experience, the higher the entrepreneurial outcomes. A significant number of empirical studies reviewed in this section suggests that female SME owners have low levels of business-related experience compared with male SME owners. Given this background, we therefore propose the hypotheses:</p>
<p><italic>H2: No significant association can be found between gender and firm performance among SME owners with high business-related experience.</italic></p>
<p><italic>H3: No significant association can be found between gender and firm performance among SME owners with low business-related experience.</italic></p>
</sec>
</sec>
</sec>
<sec id="s0016">
<title>Methodology</title>
<p>The positivist approach was adopted in undertaking this article. Positivism, as a research paradigm, is objective and independent of the researcher&#x2019;s influence (Myers <xref ref-type="bibr" rid="CIT0041">2009</xref>). In positivism, researchers take note of the view that only logical reasoning is allowed to reinforce the assumptions guiding the study. This article is descriptive by design. Zikmund and Babin (<xref ref-type="bibr" rid="CIT0065">2009</xref>) pointed out that in undertaking descriptive research, the researcher relies on some previous understanding of the problem at hand. However, conclusive evidence in the form of primary data is required to answer the research problem and to determine the appropriate course of action (Wiid &#x0026; Diggines <xref ref-type="bibr" rid="CIT0064">2015</xref>). Hence, to gather primary data, a quota sample of 109 SMEs based in King William&#x2019;s Town in the Eastern Cape Province, South Africa, was derived. Data were collected from SME owners through a survey. Due to low respondent rates associated with SME owners, 120 self-administered questionnaires were issued. To arrive at conclusions, recommendations and findings, this quantitative study relied on a 61% respondent rate.</p>
<p>The self-administered questionnaires were initially pretested on 20 SME owners who were also included in the study. Questionnaire pretesting through a pilot study of 20 respondents was undertaken to serve two crucial purposes, as pointed out by Schwab (<xref ref-type="bibr" rid="CIT0054">2013</xref>). First, it was carried out to evaluate whether the targeted respondents were able to interpret and understand each item of the questionnaire correctly. This evaluation helped the researchers to identify errors of assumption about participants&#x2019; frames of reference and items that were difficult to understand. This led to changes in the design of the research questionnaire, which may have resulted in an increased response rate, reduction of missing data and obtaining of more valid responses to the final questionnaire. The second purpose for carrying out the pilot study was to assess whether scores behaved as per the researchers&#x2019; expectations. The researchers, at this phase, determined whether the generated average scores were reasonable and that the score items were varying as expected. In addition, the Cronbach&#x2019;s alpha was used to test for reliability of the study. The alpha coefficient value for the performance measurement scale (growth in sales, growth in market share, growth in employees, growth in profitability, increase in profit margin on sales and the SMEs&#x2019; ability to fund growth from profits) was 0.9, suggesting that the study instrument was reliable. The stated performance measures were adopted from Fatoki (<xref ref-type="bibr" rid="CIT0026">2012</xref>) and were measured on a five-point Likert scale. Business-related experience measures were adopted from Cliff (<xref ref-type="bibr" rid="CIT0014">1998</xref>). Participants were asked whether they had, in the past, owned a business venture, managed a business venture or worked in an industry similar to the one in which they had a business. These were dichotomous questions which were later summed to derive a business-related experience score for each participant.</p>
<p>In data analysis, the <italic>t</italic>-test was used to determine whether a significant difference exists between gender and firm performance. Furthermore, a chi-square test was used to formally examine the study&#x2019;s control variable (business-related experience) in H2 and H3. The chi-square test allows the formal examination of the control variable, given/assuming that the control variable (business-related experience) is measured.</p>
</sec>
<sec id="s0017">
<title>Reporting and discussion of the results</title>
<p>The results of the study were first undertaken through the independent samples <italic>t</italic>-test where we sought to investigate whether being male or female had an influence in business performance. Later, we incorporated the chi-square test where we controlled for level of business-related experience between genders to critically examine whether there is an association between gender and performance. An independent samples <italic>t</italic>-test was conducted to compare firm performance mean scores for male and female entrepreneurs. The results from the independent samples <italic>t</italic>-test carried out to compare performance mean scores for males and females reveal that there is a statistically signicant difference in mean scores for males (<italic>M</italic> = 3.15, SD = 1.19) and females (<italic>M</italic> = 2.31, SD = 1.13, <italic>t</italic>(68) = 3.06; <italic>p</italic> = 0.003, <italic>two-tailed</italic>). The magnitude of the differences in the means was above moderate to large (eta squared = 0.12). The <italic>t</italic>-test results suggest that gender has an influence on firm performance. In other words, the independent samples <italic>t</italic>-test results reveal that male-owned SMEs outperform female-owned SMEs. <italic>Relying on the independent samples t-test, the null hypothesis H1 is therefore rejected.</italic> As pointed out by Klapper and Parker (<xref ref-type="bibr" rid="CIT0036">2011</xref>), this finding is well supported in literature, and our findings are consistent with the results obtained by Robb (<xref ref-type="bibr" rid="CIT0050">2008</xref>) as well as Fairlie and Robb (<xref ref-type="bibr" rid="CIT0023">2009</xref>) who indicated that male-owned firms outperform female-owned business entities. The above-mentioned studies conclude that female-owned businesses are more likely to close operations, are less likely to have profits and are less likely to hire employees than male-owned business entities. This finding, therefore, confirms the existence of a gender gap with regard to SME performance. Conversely, before controlling for business-related experience between genders, the study&#x2019;s findings dispute the findings of Akinboade (<xref ref-type="bibr" rid="CIT0001">2015</xref>) who reported that there is no association between gender and firm performance.</p>
<p>Given this background, we then factored in the chi-square test which allowed for the controlling of business-related experience between genders. The thinking here was that the mere fact that an SME is male owned and will therefore realise superior performance compared with a female-owned SME inadequately answers the debate and could be misleading. Resultantly, we grouped the male and female SME owners into high and low business-related experience categories. This exercise sought to confirm whether the gender gap still existed between the two categories. A cross tabulation and chi-square test were performed. The results appear in partial tables outlined in the contingency table and the chi-square test, as shown in <xref ref-type="table" rid="T0001">Tables 1</xref> and <xref ref-type="table" rid="T0002">2</xref>. The descriptive statistics in <xref ref-type="table" rid="T0001">Table 1</xref> are discussed first, and thereafter <xref ref-type="table" rid="T0002">Table 2</xref>, which focuses on the chi-square test, is discussed.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Experience, SME performance and gender cross tabulation.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Experience</th>
<th valign="top" align="center">Gender</th>
<th valign="top" align="center" colspan="4">SME performance</th>
<th align="center" colspan="2">Total</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center" colspan="4"><hr/></th>
<th align="center" colspan="2"/>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th align="center" colspan="2">High firm performance</th>
<th align="center" colspan="2">Low firm performance</th>
<th align="left"/>
<th align="left"/>
</tr>
<tr>
<th align="left"/>
<th align="left"/>
<th align="center" colspan="2"><hr/></th>
<th align="center" colspan="2"><hr/></th>
<th align="left"><hr/></th>
<th align="left"><hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="left"/>
<th align="center">Count</th>
<th align="center">% within gender</th>
<th align="center">Count</th>
<th align="center">% within gender</th>
<th align="center">Count</th>
<th align="center">% within gender</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="2">High business-related experience</td>
<td align="center">Male</td>
<td align="center">20</td>
<td align="center">87.0</td>
<td align="center">3</td>
<td align="center">13.0</td>
<td align="center">23</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="center">Female</td>
<td align="center">7</td>
<td align="center">77.8</td>
<td align="center">2</td>
<td align="center">22.2</td>
<td align="center">9</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">&#x00A0;</td>
<td align="center">27</td>
<td align="center">84.4</td>
<td align="center">5</td>
<td align="center">15.6</td>
<td align="center">32</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left" rowspan="2">Low business-related experience</td>
<td align="center">Male</td>
<td align="center">3</td>
<td align="center">23.1</td>
<td align="center">10</td>
<td align="center">76.9</td>
<td align="center">13</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="center">Female</td>
<td align="center">4</td>
<td align="center">16.0</td>
<td align="center">21</td>
<td align="center">84.0</td>
<td align="center">25</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">&#x00A0;</td>
<td align="center">7</td>
<td align="center">18.4</td>
<td align="center">31</td>
<td align="center">81.6</td>
<td align="center">38</td>
<td align="center">100.0</td>
</tr>
<tr>
<th align="left">Total Male</th>
<td align="center">&#x00A0;</td>
<th align="center">23</th>
<th align="center">63.9</th>
<th align="center">13</th>
<th align="center">36.1</th>
<th align="center">36</th>
<th align="center">100.0</th>
</tr>
<tr>
<th align="left">Total Female</th>
<td align="center">&#x00A0;</td>
<th align="center">11</th>
<th align="center">32.4</th>
<th align="center">23</th>
<th align="center">67.6</th>
<th align="center">34</th>
<th align="center">100.0</th>
</tr>
<tr>
<th align="left">Overall Total</th>
<td align="center">&#x00A0;</td>
<th align="center">34</th>
<th align="center">48.6</th>
<th align="center">36</th>
<th align="center">51.4</th>
<th align="center">70</th>
<th align="center">100.0</th>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Chi-square test.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Experience</th>
<th align="center">Value</th>
<th align="center"><italic>df</italic></th>
<th align="center">Asymptotic significance (two-sided)</th>
<th align="center">Exact significance (two-sided)</th>
<th align="center">Exact significance (one-sided)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="6"><bold>High business-related experience</bold></td>
</tr>
<tr>
<td align="left">Pearson chi-square</td>
<td align="center">0.413<xref ref-type="table-fn" rid="TF0001">a</xref></td>
<td align="center">1</td>
<td align="center">0.520</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Continuity correction<xref ref-type="table-fn" rid="TF0002">b</xref></td>
<td align="center">0.010</td>
<td align="center">1</td>
<td align="center">0.919</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Likelihood ratio</td>
<td align="center">0.391</td>
<td align="center">1</td>
<td align="center">0.532</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Fisher&#x2019;s exact test</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">0.604</td>
<td align="center">0.437</td>
</tr>
<tr>
<td align="left">Linear-by-linear association</td>
<td align="center">0.400</td>
<td align="center">1</td>
<td align="center">0.527</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">N of valid cases</td>
<td align="center">32</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left" colspan="6"><bold>Low business-related experience</bold></td>
</tr>
<tr>
<td align="left">Pearson chi-square</td>
<td align="center">0.285<xref ref-type="table-fn" rid="TF0003">c</xref></td>
<td align="center">1</td>
<td align="center">0.593</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Continuity correction<xref ref-type="table-fn" rid="TF0002">b</xref></td>
<td align="center">0.009</td>
<td align="center">1</td>
<td align="center">0.926</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Likelihood ratio</td>
<td align="center">0.278</td>
<td align="center">1</td>
<td align="center">0.598</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">Fisher&#x2019;s exact test</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">0.672</td>
<td align="center">0.451</td>
</tr>
<tr>
<td align="left">Linear-by-linear association</td>
<td align="center">0.278</td>
<td align="center">1</td>
<td align="center">0.598</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left">N of valid cases</td>
<td align="center">38</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left"><bold>Total Pearson chi-square</bold></td>
<td align="center"><bold>6.962</bold><xref ref-type="table-fn" rid="TF0004">d</xref></td>
<td align="center"><bold>1</bold></td>
<td align="center"><bold>0.008</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left"><bold>Total Continuity correction</bold><xref ref-type="table-fn" rid="TF0002">b</xref></td>
<td align="center"><bold>5.756</bold></td>
<td align="center"><bold>1</bold></td>
<td align="center"><bold>0.016</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left"><bold>Total Likelihood ratio</bold></td>
<td align="center"><bold>7.085</bold></td>
<td align="center"><bold>1</bold></td>
<td align="center"><bold>0.008</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left"><bold>Total Fisher&#x2019;s exact test</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center"><bold>0.010</bold></td>
<td align="center"><bold>0.008</bold></td>
</tr>
<tr>
<td align="left"><bold>Total Linear-by-linear association</bold></td>
<td align="center"><bold>6.862</bold></td>
<td align="center"><bold>1</bold></td>
<td align="center"><bold>0.009</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
<tr>
<td align="left"><bold>Total <italic>N</italic> of valid cases</bold></td>
<td align="center"><bold>70</bold></td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
<td align="center">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF0001"><label>a</label><p>0 cells (0.0%) have expected count less than 5. The minimum expected count is 11.69;</p></fn>
<fn id="TF0002"><label>b</label><p>Computed only for a 2 &#x00D7; 2 table;</p></fn>
<fn id="TF0003"><label>c</label><p>0 cells (0.0%) have expected count less than 5. The minimum expected count is 8.68;</p></fn>
<fn id="TF0004"><label>d</label><p>0 cells (0.0%) have expected count less than 5. The minimum expected count is 13.60.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>From the first partial table relating to high business-related experience, it can be noted that 87% of male and 77.8% of female respondents reported high firm performance. In the second partial table relating to low business-related experience, 76.9% of male and 84% of female entrepreneurs with low business-related experience indicated low or poor firm performance. From the partial table relating to high business experience, it can be concluded that firms of both male and female entrepreneurs with high business-related experience are more likely to be superior in terms of performance. However, looking closely at the partial table relating to low business-related experience, it can as well be concluded that firms for male and female business owners with low business-related experience are less likely to perform. <xref ref-type="table" rid="T0002">Table 2</xref> outlines the chi-square test results to determine whether a significant association can be found between gender and firm performance among SME owners with high/low business-related experience.</p>
<p>After controlling for business-related experience, the results displayed in <xref ref-type="table" rid="T0002">Table 2</xref> indicate that SME owners with high business-related experience obtained a chi-square value = 0.413, <italic>df</italic> = 1 and <italic>p</italic> = 0.52 greater than <italic>p</italic> = 0.05. This means that there is insufficient evidence against the null hypothesis which claims that no significant association can be found between gender and SME performance among SME owners with high business-related experience in the population from which the sample data was drawn. <italic>This article therefore fails to reject the null hypothesis H2.</italic> With regard to SME owners with low business-related experience, a chi-square value = 0.285, <italic>df</italic> = 1 and <italic>p</italic> = 0.593 greater than <italic>p</italic> = 0.05 was obtained. The results indicate that there is insufficient evidence against the null hypothesis claiming that no significant association can be found between gender and firm performance amongst SME owners with low business-related experience in the population from which the sample data were drawn. <italic>This article therefore fails to reject the null hypothesis H3.</italic> The above findings reveal that when controlling for the level of business-related experience between male-owned and female-owned SMEs, there is no difference in the performance of SMEs. The article disputes the findings by Watson (<xref ref-type="bibr" rid="CIT0063">2002</xref>) who concluded that underperformance is not a function of experience or skills shortage or lack of competence in managing the firm but is directly attributable to unequal levels of starting capitalisation (finance). For example, a groundbreaking study by Mabaso (<xref ref-type="bibr" rid="CIT0038">2008</xref>) conducted on SMEs established by retrenched Telkom workers, who were provided with finance to start businesses in South Africa, concluded that inadequate managerial experience and training were the major reasons for weak performance and failure of SMEs. This study, therefore, provides evidence in support of Mabaso (<xref ref-type="bibr" rid="CIT0038">2008</xref>) that when SMEs are capitalised in the same manner in relation to business-related experience, no differences in performance are found in either male- or female-owned firms, considering that there is no change in behaviour of other performance-related factors.</p>
<sec id="s20018">
<title>Implications</title>
<p>To close the gender gap in SME performance in emerging economies, business incubators, often established at universities or business schools, are of particular value to female business owners in providing infrastructure, links to investors and market opportunities as well as personalised assistance and training. Therefore, it is clear that female SME owners, in particular, should utilise these institutions to enhance their chances of success and realise better firm performance and high business-related experience. Programmes engaging business-related experienced female business owners in providing advice to potential women business owners help enhance the performance of female-owned SMEs. According to the Organisation for Economic Cooperation and Development (OECD <xref ref-type="bibr" rid="CIT0044">2012</xref>), there is a need for a policy to raise the awareness of entrepreneurship as a career option for women. Additionally, programmes are also needed to boost self-esteem and growth expectations among potential and established women business owners. Brush <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0010">2011</xref>) emphasised that men have greater faith in their entrepreneurial experiences (high or low) and are also optimistic about the profitability of their enterprise. Female business owners&#x2019; networks, which are major sources of managerial and technical expertise as well as opportunities for successful self-employment, can bolster the self-confidence of women business owners and enhance their business-related experience and firm performance as well.</p>
</sec>
</sec>
<sec id="s0019">
<title>Conclusion</title>
<p>Contrary to evidence provided in literature, the study concludes that when focusing on the impact of gender on entrepreneurship with the aim of comparing business outcomes of male- and female-owned entities, while ignoring the role of key variables such as business-related experience, may yield misleading results. This study provides evidence indicating that when gender is factored in as the only independent variable, performance significantly differs between genders in support of extant literature. However, when other key factors such as managerial experience, prior business ownership and industry experience of entity owners are also taken into consideration, the findings of the study provide evidence to indicate that there is no significant difference in the performance of male- and female-owned entities. This also happens to be the major contribution of this study to literature.</p>
<sec id="s20020">
<title>Limitations of the study</title>
<p>The researchers of this study surveyed SMEs that had been in existence for more than 3 years. The major reason for considering firms above the age of 3 was to isolate fluctuations in firm performance. Thus, issues relating to age were not highly controlled. In other words, the average age of male-owned firms versus the average age of female-owned firms was ignored. There is a strong perception that older firms may be better off in terms of market share, suppliers and competent networks, which are crucial factors in determining the overall firm performance.</p>
</sec>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20021">
<title>Conflict of interest</title>
<p>The authors declare that they have no competing interests which may negatively affect their contribution to this article.</p>
</sec>
<sec id="s20022">
<title>Authors&#x2019; contributions</title>
<p>H.S. conceptualised the study, collected data, analysed the data, interpreted the results and did the majority of writing of the article. E.C.R. provided guidance on the design of the study and content of the literature.</p>
</sec>
</ack>
<ref-list id="references">
<title>References</title>
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<fn><p><bold>How to cite this article:</bold> Shava, H. &#x0026; Rungani, E.C., 2016, &#x2018;Influence of gender on SME performance in emerging economies&#x2019;, <italic>Acta Commercii</italic> 16(1), a408. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4102/ac.v16i1.408">http://dx.doi.org/10.4102/ac.v16i1.408</ext-link></p></fn>
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