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Article

Factors Inhibiting Effective Risk Management in Emerging Market SMEs

by
Oscar Chakabva
,
Robertson Tengeh
and
Job Dubihlela
*
Faculty of Business and Management Sciences, Cape Peninsula University of Technology, Cape Town 8000, South Africa
*
Author to whom correspondence should be addressed.
J. Risk Financial Manag. 2021, 14(6), 231; https://doi.org/10.3390/jrfm14060231
Submission received: 24 March 2021 / Revised: 19 April 2021 / Accepted: 3 May 2021 / Published: 21 May 2021
(This article belongs to the Special Issue Risk and Financial Management of COVID-19 in Business, Economics and Finance)
Versions Notes

Abstract

:
Despite the anecdotal evidence that suggests that SMEs adopt inadequate and ineffective risk management practices, only a few studies have been conducted on the topic in the emerging market context. Besides, the existing studies on factors inhibiting effective risk management in emerging market SMEs are devoid of any theoretical grounding. This situation implies that there is still a knowledge gap on this area, and this gap is what the current paper seeks to close. In closing out the gap, this paper used the Resource Based View theory to interpret the results obtained, in order to help clarify the factors inhibiting effective risk management in emerging market SMEs, with a case of South Africa being used. In a first step, questionnaires were distributed to a sample of 320 FMCG SMEs in the Cape Metropolitan area. The results revealed the significance of both intangible and tangible resources in positively impacting the effectiveness of risk management within SMEs. This led to the conclusion that owner-managers must pay particular attention to their intangible and tangible resource structure, which will impact the positive response towards superior performance and competitive advantage by focusing more on coalescing resources that lead to effective risk management.

1. Introduction

Being the most predominant enterprises in almost every emerging market, SMEs contribute a significant proportion of the Gross Domestic Product (GDP) through their combined output and value additions (Edinburgh Group 2012, p. 5). Besides, due to their labour-intensive nature, SMEs create employment opportunities for unskilled people who are now abundant, particularly in emerging markets (Ngek 2014, p. 253). Without SMEs, most unskilled people would be wallowing in grinding poverty, since they have limited or no access to employment opportunities in the formal job market. SMEs, therefore, are one of the sustainable methods of alleviating poverty and improving the standards of living of households through wealth and employment creation (Mbuta 2007). Based on this evidence, many governments in the emerging markets around the world have embarked on a range of policies and programmes earmarked to support SMEs.
In South Africa, organisations helping SMEs with financial support include the Nations Trust and Micro Enterprises, and the Small Enterprise Finance Agency (SEFA). In Zambia, programmes such as the Private Enterprise Programme in Zambia (PEPZ), with its Nyamuka Business Plan competition, and the related Accelerator Fund commissioned by Kukula Capital, are crucial in reaching out to the Zambian SMEs (The British Chamber of Commerce 2016). Similarly, in Kenya, an initiative called the SheTradesKe was launched to assist SME owners with e-learning courses, trade workshops, and exhibitions to connect their businesses with international markets (Situma 2016).
Despite the direct and indirect government support, emerging market SMEs are still susceptible to a multitude of risks, which, in the worst case, could pose financial distress and lead to liquidation (Sharifi 2014, p. 82). Perhaps this is why the overall failure rate of SMEs in emerging markets like South Africa is alarming, with 50% of the new SMEs failing within their first three years (Mungal and Garbharran 2014, p. 77; Sifumba et al. 2017, p. 387). Deploying effective risk management practices, therefore, reduces the uncertainty in the management of SMEs, ensures stability in production and trading in the market, decreases the risk of SME failure, and uplifts the SMEs’ external and internal image (Godbole 2012; Leverty 2015). Cormican (2014), however, discovered that it is mostly large enterprises that implement effective risk management and SMEs do not actively engage in it.
Prior studies established that the implementation of risk management in SMEs is influenced by poor managerial skills, lack of knowledge, and insufficient training, among other factors (Smit and Watkins 2012; Agrawal 2016). A review of prior studies in this paper, however, suggests that very little work has been performed in establishing the factors inhibiting effective risk management in emerging market SMEs. A review of prior studies in emerging markets further discloses that the existing studies on this area are devoid of any theoretical grounding. This situation implies that there is still a knowledge gap regarding factors inhibiting effective risk management in emerging market SMEs, and this gap is what the current paper seeks to close. In closing out the gap, this paper uses the Resource Based View (RBV) theory to interpret the results obtained, in order to help clarify the factors inhibiting effective risk management in emerging market SMEs, with a case of South Africa being used.

2. Literature Review

2.1. Emerging Market SMEs

The criteria for defining SMEs are multiple and vary across the world. One chronic criterion that is constantly pointed out as probably the main criterion for defining SMEs, however, is the number of employees (OECD 2005). Despite this, the definitions of SMEs based on this criterion vary from country to country, depending on the contribution of the SMEs to the economy of that country. For example, the OECD (2005) defined SMEs in the European Union (EU) countries as a firm with less than 300 employees, whereas in South Africa, the South African Small Business Amendment Act No. 29 of 2003 has defined SMEs as firms with less than 200 employees. Despite variations in the definitions of SMEs, SMEs share a common characteristic that is integrally associated with the influence they have on the national economies particularly in emerging markets.
In all the emerging markets around the world, a significant proportion of the Gross Domestic Product (GDP) comes from SMEs (Edinburgh Group 2012, p. 5). For instance, SMEs account for about 93% of the Moroccan enterprises and contribute about 38% to production, 33% to total investments, and 30% to total exports (Etuk et al. 2014, p. 659). It is also estimated that SMEs constitute approximately 92% of the Ghanaian enterprises and contribute about 70% to the country’s GDP (Frimpong 2013). Similarly, SMEs constitute about 91% of the South African enterprises and contribute between 51% and 57% to the country’s GDP (Cant and Wiid 2013, p. 707).
Furthermore, the ever-increasing unemployment rate has for some time been one of the main problems in the emerging economies. For example, Africa is faced with significant economic issues because of the increasing unemployment rate, which is estimated to be between 30% and 41% (Rwigema and Venter 2008, p. 10). In this context, SMEs have become increasingly essential in offering alternative employment by contributing over 61% of all the South African employment opportunities, about 68% of the Zambian employment, and about 60% of all Kenyan formal employment (Abor and Quartey 2010, p. 218; Kagwathi et al. 2014, p. 2; Ong’wen 2017, p. 2; Phillips and Bhatia-Panthaki 2007, p. 795).
Despite their influence on the national economies around the world, SMEs in emerging markets are being bedevilled by several factors militating against their performance, resulting in a high SME failure rate. For example, 85% of SMEs in Zimbabwe fail within their first three years, one-third of new SMEs in Uganda do not go beyond their first year of operation, and between 50% and 95% of SMEs in South Africa fail within the first five years (Nyamwanza et al. 2016, p. 305; Mong 2012, pp. 33–34; Yeboah 2015, p. 4).
Given the importance of SMEs in creating the much-needed jobs, reducing poverty levels, and boosting economic growth, along with their high failure rate, it is imperative that a study like this one be conducted, in order to contribute to the survival and sustainability of emerging market SMEs by means of effective risk management.

2.2. Risk Management in Emerging Market SMEs

Risk management is a systematic approach to identify and evaluate risks along with mechanisms to minimise them (Berg 2010, p. 80; Dictionary.com 2019). The principal objective of risk management is to create business value, increasing business profits by reducing costs and ultimately allowing the business to achieve its mission (Verbano and Venturini 2013, p. 188). Large enterprises mostly incorporate risk management into operating process and systems design, and nearly all risk-taking units operate within approved limits (Goldberg and Palladini 2010, p. 3). However, previous studies revealed that risk management are not receiving the much-deserved attention within the SME sector particularly in the emerging markets (Asgary et al. 2020; Jayathilake 2012, p. 226; Smit 2012). Others suggest that emerging market SMEs risk management is largely limited to risk avoidance actions (Boubala 2010, p. 72; Smit and Watkins 2012). Some of these risk reduction actions could include bankruptcy and earnings management as a phenomenon (Kliestik et al. 2018). Additionally, Dvorsky et al. (2020) pursued research on the concept of business risk for small and medium-sized enterprises in the context of the Czech Republic. They found that identified market, financial activities, and personnel and operational risk have a positive effect on future business exposures of SMEs. This finding, along with others, provide an indication that achieving effective risk management in an emerging market SME set-up is problematic, hence the need to explore factors inhibiting effective risk management in such enterprises.

2.3. Factors Inhibiting Effective Risk Management in Emerging Market SMEs

Despite the anecdotal evidence that suggests that SMEs adopt inadequate and ineffective risk management practices, only a few studies have been conducted on the topic in the emerging market context in general. In one of the few studies, Agrawal (2016) conducted a desktop study involving a review of the relevant literature to understand how SMEs mitigate risk, and whether Enterprise Risk Management (ERM) is crucial for survival and sustainable development of SMEs. The findings indicated that SMEs generally face multiple risks, yet they have insufficient resources and limited knowledge to deal with such risks. The study also suggested the need for integrating an effective ERM system with planning and administration within SMEs, to circumvent fatal consequences. In yet another desktop study, Smit and Watkins (2012) conducted a literature review of SME risk management practices in South Africa. Their findings show that the impediments to effective SME risk management are plentiful and diverse, and include poor managerial skills, lack of education, and insufficient training, among others. Although relevant, the studies by Agrawal (2016), and Smit and Watkins (2012) were not empirical, therefore the veracity of their findings is questionable.
In an empirical study involving a questionnaire survey, Gwangwava et al. (2014) investigated the level of adoption of risk management practices by SMEs in Zimbabwe. The study used a sample of 380 SMEs operating in different sectors, and the results revealed a low level of adoption of risk management practices in SMEs, due to poor knowledge of the concept of risk and a lack of the required resources to outsource audit services. Although informative, the study by Gwangwava et al. (2014) is dated as it was conducted more than five years ago, hence its findings and recommendations may not be valid at the moment. Studies that looked at credit compliance risk (Dubihlela and Ezeonwuka 2018) and competition risk (Kliestik et al. 2020) also added to this discourse and were used to understand the variableness of management.
In a recent study, Sifumba et al. (2017) investigated the risk management practices of 74 SMEs operating in the manufacturing Sector of Cape Town, South Africa. The analysis of their results showed that only 50% of SME owner-managers communicate risk and controls to their subordinates, an aspect that undermines effective risk management. Their results further revealed that no suitable training is provided to subordinates concerning risk management activities. According to Sifumba et al. (2017), these results explain why the failure rate of SMEs is alarming. Although enlightening, the study by Sifumba et al. (2017) adopted a small sample size, an aspect that challenges the generalisability of its findings.
In a more recent study based on a sizeable sample, Crick et al. (2018) investigated to what extent and how SMEs in emerging markets are adapting to climate risks, using a questionnaire survey that sampled 325 respondents. Their findings revealed that financial barriers are a key reason why SMEs resort to unstructured risk management approaches. In a similar study carried out in Ghana, Abotsi et al. (2014) investigated the risk management decisions in 447 SMEs, with the aim of determining the factors that preclude SME owners from making effective risk management decisions. Their findings revealed that about 25% rated the extent of their risk management knowledge as high, about 5% rated it at the lowest possible level and the remainder did not rate it at all, which implies no knowledge of risk management. These findings are an indication that there is still a huge gap in the knowledge base of SME owner-managers regarding risk management. Despite not being dated, the studies by Crick et al. (2018); Abotsi et al. (2014), are devoid of any theoretical grounding.
None of the previous studies reviewed in this section adopted a theory. Employing a theory, such as the RBV theory, to interpret the findings obtained, would have provided a deeper understanding of barriers to effective risk management in the sampled emerging market SMEs. It is, therefore, imperative that a research on risk management in emerging market SMEs be conducted that adopts a theory, such as the RBV theory.

2.4. Resource Based View Theory

The RBV is a renowned concept that has been applied to several examples of strategic management research (Hitt et al. 2016). It is centred on the argument that a business’s superior performance emanates from its resources that are rare, valuable, impossible to replicate, and hard to replace (Bromiley and Rau 2016). For that reason, resources play a crucial role in the overall business’s performance (Barney 1991).
According to RBV theory, resources are generally divided into tangible and intangible resources (Galbreath 2005). Tangible resources include physical assets like land, buildings, machinery, and equipment. While tangible resources are common in every business, intangible resources such as knowledge, skills education, innovation, and experience also contribute immensely to a business’s performance (Pal et al. 2014; Sirmon et al. 2007). Previous studies using the RBV have unpacked the relationship between business resources and performance. First, Hall (1992) investigates the relative significance of intangible resources to business success and proposes the significance of intangible resources in contributing to business success. Despite acting as a practical guide for future studies, the study by Hall (1992) is void of theoretical grounding and statistical rigor, for example, through tests of significance. In another study, Powell and Dent-Micallef (1997) investigate three resources constructs which include information technology, and the complementariness of human and business resources. The findings show that for overall business performance, human resources have a positive correlation, business resources have a moderate correlation, and technology resources have a negative correlation. The findings of this study appear to point to the significance of intangible resources in positively impacting business success. In addition to that, Fahy (2002) also tests the influence of resources on low-performing versus high-performing businesses by means of discriminant analysis. Top-performing businesses ascribe greater levels of significance to intangible resources than low-performing businesses.
Following the concept established by the RBV and its proponents, this study posits that for a sustainable competitive advantage, SMEs should develop resources and capabilities to manage business risks. These resources and capabilities, in line with the RBV, are approaches in managing business risks which must be a collection of unique skills, knowledge, and other resources that are commensurate with both the size and the supply chain setting of the SME. However, usually emerging market SMEs have greater difficulties than their large counterparts in accessing resources and capabilities. Thus, SMEs face several barriers to effective risk management, given the type of environment which they operate in—financial constraints, lack of technology, and lack of knowledge. The exact nature of the business resources that influence risk management systems within SMEs, however, remains largely unexplored in emerging markets like South Africa. In exploring this area, this paper uses the RBV to interpret the results obtained, in order to help clarify the potential obstacles to risk management within SMEs.

3. Research Design and Data Collection

Drawing upon studies such as Khaldi (2017), and Bachman and Schutt (2017), this paper adopted a quantitative approach to obtain and analyse data.

3.1. Research Population, Sampling Technique, and Sample Size

Denscombe (2014, p. 2) defines a research population as a collection of elements from which a certain researcher wishes to make conclusions. The research population for this study comprised all SMEs that operated in the Cape Metropolitan area at the time of the study. Due to the absence of a database of all SMEs within the Cape Metropolitan area, the population size for this paper is unknown. Given this, a purposive sampling technique was adopted to select the respondents for this study. Since this technique comprises a sample drawn from a population that has characteristics of the researcher’s interest (De Vos et al. 2011, p. 232), it ensured that the respondents who were selected had sufficient and relevant work experience on the area of risk management and thus ensured the validity and reliability of the information for policy direction.
The research sample consisted of 320 SMEs that were still operating in the Cape Metropole, South Africa. Given that the sample size exceeded the recommended minimum size of 30 for a quantitative approach, it is fair to conclude that the sample size was a representation of the target population (Eichler et al. 2018).

3.2. Data collection and Analysis of Data

A questionnaire-tool containing mostly pre-populated questions was used for soliciting quantitative data from 320 SMEs that were operating in the Cape Metropole. The main author disseminated the questionnaires to individual owners and managers of SMEs. The data which the questionnaires obtained was analysed by means of Excel and the Statistical Package for the Social Sciences (SPSS) software, and then the results were shown in the form of descriptive statistics. Also, the data analysis made use of Phi, Contingency Coefficient, and Pearson’s R.

4. Results and Discussion

Out of the 320 questionnaires administered, 289 were collected and deemed valid for analysis. Table 1 shows the number of employees in the SMEs that participated in this study.
Table 1 indicate that 64.7% of the SMEs had 5 to 19 employees, while 28.7% had 20 to 49 employees. Only 6.6% of the respondents revealed that their enterprises had 50 to 199 employees. These results imply that 100% of the sampled businesses can be classified as SMEs (total number of employees not greater than 200), and hence were the right participants for this study.

4.1. Risk Management Practices that Exist in SMEs

Campion (2000), Tsiouras (2015), the Association of Insurance and Risk Managers (AIRMIC), the public sector risk management association (Alarm), and the Institute of Risk Management (IRM) (AIRMIC et al. 2010, p. 3) emphasise that a successful risk management initiative is underpinned by a set of critical elements, which are summarised in Table 2. Accordingly, Table 2 provides a summary of the number of SMEs that have critical elements of effective risk management in place.
As indicated in Table 2, elements of effective risk management that were present in most of the sampled SMEs included risks that are vigorously identified, classified, ranked, and recorded prior to risk treatment (67.1%), followed by the risk management process often being monitored and reviewed (57.4%), and then risk management being implanted into daily activities (55.4%). Other elements of effective risk management were only used by a minority of the sampled SMEs. These included the availability of a risk management framework (27.7%), an effective internal control system (24.9%), a risk response strategy (23.2%), and employee development programs and continuing education (20.8%). The remainder of the elements of effective risk management were used by an even smaller percentage of the sampled SMEs and these included a risk management plan (19.4%), a risk appetite (17.6%), the participation of all employees in the risk management process (16.3%), a system of budgeting and cost control (13.1%), a contingency fund (13.1%), and a credit risk policy (10.7%). The results imply that the crucial elements of effective risk management are largely absent in SMEs. This is in line with Asgary et al. (2020), Dvorsky et al. (2020), Jayathilake (2012, p. 226), Boubala (2010, p. 72), Smit and Watkins (2012), and Smit (2012), who found that risk management was not receiving the much-deserved attention within the SMEs, particularly in the emerging markets.
For further analysis, independence tests for the differences in the elements of effective risk management adopted by SMEs were performed using a Chi-square test. The results are shown below.
The Chi-square results in Table 3 confirm a statistically significant difference in deployment levels of 13 identified risk management elements among SMEs operating in the Cape Metropole. This implies that there was limited adoption of elements of effective risk management by SMEs. The results suggest that inadequate elements of effective risk management existed in the operational systems of SMEs, as more than 70% neither develop nor adopt/implement a risk management framework, an effective internal control system, a risk response strategy, or other employee development programs and continuing education. More than 80% did not have an existing risk management plan nor set a risk appetite. More than 83% did not involve all employees in the risk management process (meaning there was a lack of cooperate governance in risk management). More than 86% said ‘No’ to having a system of budgeting and cost control, and ‘No’ to maintaining a contingency fund which could be set aside for responding to identified risks. Finally, close to 90% did not have a developed or implemented credit risk policy. This provides a comprehensive reason why more than 50% of SMEs in emerging markets fail in their first five years of existence (Manzoor et al. 2021; Sifumba et al. 2017; Nyamwanza et al. 2016, p. 305; Mong 2012, pp. 33–34; Yeboah 2015, p. 4). The implication is that policy direction should be towards a comprehensive review of elements of effective risk management present among SMEs operating in the Cape Metropole. Otherwise, a threat is posed to the survival of SMEs and many obstacles (Dvorsky et al. 2020) will stand against the growth of these enterprises in the Cape Metropole (A detailed analysis of those obstacles is provided in Section 4.2).
Furthermore, the statistically significant effect was confirmed in the SMEs operating in the Cape Metropole with Chi-square value: x 2 (12, n = 3757) = 612.118, p = 0.000, and Cramer’s V = 0.404 (see Table 3; Table 4). The Cramer’s V result in Table 4 below as recommended by Gravetter and Wallnau (2004) and Pallant (2011) confirms a very large effect.

4.2. Factors Inhibiting Effective Risk Management in Emerging Market SMEs

As revealed in Table 5, most of the sampled respondents indicated that poor risk knowledge (60.8%) was a very relevant barrier to their effective risk management, and that costs exceeding benefits was also very relevant to them (60.1%). A majority of the respondents also indicated that poor knowledge of measuring the performance of risk management (59.4%) was a very relevant barrier to their effective risk management, followed by an absence of risk management frameworks relevant to the SMEs (56.6%), and then a lack of cash resources (51.0%). Inadequate record keeping turned-out to be a very relevant barrier to a minority of the respondents (46.4%). Then refusal from employees was also considered very relevant but to a lesser extent (only 28.7%). The results imply that factors inhibiting effective risk management in emerging market SMEs are numerous and varied. The current study results are consistent with those of Dvorsky et al. (2020) as well as Smit and Watkins (2012), who found that the impediments to effective SME risk management are plentiful and diverse.
The preceding findings of the current study also support the RBV theory, which postulates that resources are important drivers of performance. These include both intangible (knowledge in the context of this study) and tangible (cash resources in the context of this study) resources. Based on the RBV theory, the sampled SMEs operating in the Cape Metropole face obstacles when attempting to implement effective risk management, as they lacked these factors.
For further analysis, independence tests for the effect of different barriers to effective risk management practices adopted by SMEs were performed using a Chi-square test. The results are shown below.
The Chi-square results in Table 6 confirm a lack of independence of the barriers faced by the respondents to risk management practices being adopted. This implies that the barriers faced by owner-managers had a statistically significant effect on risk management practices adopted by the respondents in their businesses, with Chi-square value: x 2 (28, n = 2307) = 227.240, p = 0.000, and Cramer’s V = 0.157. The Cramer’s V result in Table 7 below as recommended by Gravetter and Wallnau (2004) and Pallant (2011) confirms a very large effect of these barriers to effective risk management in SMEs.

5. Research Implications

In this section, the results are discussed in relation to theoretical, managerial, and policy implications.

5.1. Theoretical Implications

This paper uniquely adopts the RBV theory to interpret the results obtained, which provides a better insight into the factors inhibiting effective risk management in emerging market SMEs, unlike the previous emerging market studies on the same topic.

5.2. Managerial Implications

The findings of this paper appear to indicate the significance of both intangible and tangible resources in positively impacting the effectiveness of risk management within emerging market SMEs. This leads the present study to conclude that owner-managers must pay particular attention to their intangible and tangible resource structure, which impacts the positive response towards superior performance and competitive advantage by focusing more on coalescing resources that lead to effective risk management.

5.3. Policy Implications

The findings of this paper could also be of great importance to the policy makers in the emerging markets, with a case of South Africa being used. In South Africa, the Department of Small Business Development, which provides financial and non-financial support services, aims to create an enabling environment for SMEs to flourish. Drawing upon the RBV, the results of this paper have revealed that effective risk management is rooted in an intangible (in our case, knowledge) and tangible (in our case, cash) resource structure. This insight may be used to inform future attempts of the Department of Small Business Development when designing interventions intended to boost the survival rate of SMEs.
Regarding intangible resources like knowledge, the Department of Small Business Development, in collaboration with universities, could offer short courses or workshops based on risk management to help SME owner-managers understand risks faced by their businesses and how they can effectively manage such risks.
Concerning tangible resources like cash, the Department of Small Business Development in collaboration with commercial banks may consider revising the current credit policies accordingly to match with the individual conditions of SMEs, and not solely evaluating the creditworthiness of these firms on the basis of credit history or collateral security. They may consider placing more weight on other factors like the growth potential of the enterprise or feasibility of the enterprise’s future business plan.

6. Conclusions

This section provides concluding remarks and projects possible future research pathways. The study was motivated by the scant research on the factors inhibiting effective risk management in emerging market SMEs. This study attempted to bridge this knowledge gap by using the RBV to interpret the findings obtained, in order to provide a deeper understanding of the factors inhibiting effective risk management in emerging market SMEs, with a case of South Africa being used. The results of this paper have revealed that factors inhibiting effective risk management in emerging market SMEs are numerous and diverse, and include a lack of intangible resources like knowledge; a lack of tangible resources like cash; and other obstacles such as a costs exceeding benefits mentality, an absence of risk management frameworks relevant to SMEs, insufficient record keeping and refusal from employees. The results also support the RBV theory, which suggests that resources are key drivers of performance. In the context of this study, intangible resources include knowledge and tangible resources include cash. Based on our results, the sampled emerging market SMEs face obstacles when attempting to implement effective risk management as they lacked these factors. This finding represents therefore an avenue for future research. In particular, future research studies have to make efforts to explore more intangible and tangible resources, in order to help emerging market SMEs focus more on coalescing resources that lead to effective risk management. In addition, the findings of this paper are based on a sample of 320 SMEs. The future studies should integrate a bigger sample size for the survey of SME owner-managers, to produce substantial data and for improved generalisation of the results. It is further suggested that rural-based SMEs be involved, to defeat the provincial imbalance of this paper. Thus, another prolific area for future studies might be a comparative study between SMEs in urban and rural areas of an emerging market economy. A bigger and varied structure of the sample size is likely to provide more in-depth data concerning the risk management of SMEs in an emerging market economy.

Author Contributions

The conceptualization of the paper was done by O.C. and and R.T.; methodology R.T.; software, O.C.; validation, J.D. and R.T.; formal analysis, O.C.; investigation and writing—original draft preparation, O.C.; writing—review and editing, J.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was consistent with the guidelines of the Cape Peninsula University of Technology, and cleared by the Faculty Research Ethics Committee. Ordinarily the ethical review was not restrictive for this study because the study did not involve humans or animals.

Conflicts of Interest

The authors declare no conflict of interest in the research processes, analysis and publication of this paper.

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Table
Table 1. Number of employees.
Table 1. Number of employees.
How Many Employees Does Your Business Have?
FrequencyPercentValid PercentCumulative Percent
5–19 employees18764.764.764.7
20–49 employees8328.728.793.4
50–199 employees196.66.6100.0
Total289100.0100.0
Table
Table 2. Critical elements of effective risk management that exist in SMEs.
Table 2. Critical elements of effective risk management that exist in SMEs.
YesNo MeanRemark
A risk appetite exists512382891.8235No
17.60%82.40%100.00%
A credit risk policy exists312582891.8927No
10.70%89.30%100.00%
Employee development programs and continuing education exist602292891.7923No
20.80%79.20%100.00%
A system of budgeting and cost control exists 382512891.8685No
13.10%86.90%100.00%
A contingency fund exists382512891.8685No
13.10%86.90%100.00%
A risk management plan exists562332891.8062No
19.40%80.60%100.00%
A risk response strategy exists672222891.7681No
23.20%76.80%100.00%
All employees participate in the risk management process47242289
16.30%83.70%100.00%1.8373No
A risk management framework exists802092891.7231No
27.70%72.30%100.00%
An effective internal control system exists722172891.7508No
24.90%75.10%100.00%
Risk management is implanted into daily activities1601292891.4463Yes
55.40%44.60%100.00%
The risk management process is often monitored and reviewed1661232891.4256Yes
57.40%42.60%100.00%
Risks are vigorously identified, classified, ranked and recorded prior to risk treatment 19495289
67.10%32.90%100.00%1.3287Yes
Total106026973757
28.20%71.80%100.00%1.7178No
Table
Table 3. Critical elements of effective risk management that exist in SMEs Chi-Square Tests.
Table 3. Critical elements of effective risk management that exist in SMEs Chi-Square Tests.
ValuedfAsymptotic Significance (2-Sided)
Pearson Chi-Square612.118 a120.000
Likelihood Ratio582.304120.000
Linear-by-Linear Association417.80710.000
N of Valid Cases3757
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 81.54.
Table
Table 4. Critical elements of effective risk management that exist in SME Symmetric measures.
Table 4. Critical elements of effective risk management that exist in SME Symmetric measures.
ValueAsymptotic Standard Error aApproximate T bApproximate Significance
Nominal by NominalPhi0.404 0.000
Cramer’s V0.404 0.000
Contingency Coefficient0.374 0.000
Interval by IntervalPearson’s R−0.3340.016−21.6790.000 c
Ordinal by OrdinalSpearman Correlation−0.3340.016−21.6790.000 c
N of Valid Cases3757
a. Not assuming the null hypothesis; b. Using the asymptotic standard error assuming the null hypothesis; c. Based on normal approximation.
Table
Table 5. Factors inhibiting effective risk management in emerging market SMEs.
Table 5. Factors inhibiting effective risk management in emerging market SMEs.
Not at All RelevantSlightly RelevantRelevantFairly RelevantVery RelevantTotal
Poor risk knowledge26122748175288
9.00%4.20%9.40%16.70%60.80%100.00%
Lack of cash resources 12254658147288
4.20%8.70%16.00%20.10%51.00%100.00%
Cost exceeding benefits of risk management4762042173288
16.30%2.10%6.90%14.60%60.10%100.00%
Absence of risk management frameworks relevant to the SMEs24262946163288
8.30%9.00%10.10%16.00%56.60%100.00%
Poor knowledge of measuring the performance of risk management26163045171288
9.00%5.60%10.40%15.60%59.40%100.00%
Inadequate record keeping42272363134289
14.50%9.30%8.00%21.80%46.40%100.00%
Refusal from employees6168275083289
21.10%23.50%9.30%17.30%28.70%100.00%
Other14304156148289
4.80%10.40%14.20%19.40%51.20%100.00%
Total25221024340811942307
10.90%9.10%10.50%17.70%51.80%100.00%
Table
Table 6. Factors inhibiting effective risk management in emerging market SMEs.
Table 6. Factors inhibiting effective risk management in emerging market SMEs.
Chi-Square Tests
ValuedfAsymptotic Significance (2-Sided)
Pearson Chi-Square227.240 a280.000
Likelihood Ratio220.309280.000
Linear-by-Linear Association36.45210.000
N of Valid Cases2307
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 26.22.
Table
Table 7. Factors inhibiting effective risk management in emerging market SMEs.
Table 7. Factors inhibiting effective risk management in emerging market SMEs.
Symmetric Measures
ValueAsymptotic Standard Error aApproximate T bApproximate Significance
Nominal by NominalPhi0.314 0.000
Cramer’s V0.157 0.000
Interval by IntervalPearson’s R−0.1260.020−6.0850.000 c
Ordinal by OrdinalSpearman Correlation−0.1290.020−6.2270.000 c
N of Valid Cases2307
a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. c. Based on normal approximation.
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Chakabva, O.; Tengeh, R.; Dubihlela, J. Factors Inhibiting Effective Risk Management in Emerging Market SMEs. J. Risk Financial Manag. 2021, 14, 231. https://doi.org/10.3390/jrfm14060231

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Chakabva O, Tengeh R, Dubihlela J. Factors Inhibiting Effective Risk Management in Emerging Market SMEs. Journal of Risk and Financial Management. 2021; 14(6):231. https://doi.org/10.3390/jrfm14060231

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Chakabva, Oscar, Robertson Tengeh, and Job Dubihlela. 2021. "Factors Inhibiting Effective Risk Management in Emerging Market SMEs" Journal of Risk and Financial Management 14, no. 6: 231. https://doi.org/10.3390/jrfm14060231

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