2020, Volume 8, Issue 1, Pages: 61-72  
J. Environ. Treat. Tech. ISSN:  
309-1185  
2
Journal weblink: http://www.jett.dormaj.com  
Entrepreneurial Orientation, Total Quality  
Management, Competitive Intensity, and  
Performance of SMEs: A Resource-Based  
Approach  
2
Kabiru Maitama Kura , Ramatu Abdulkareem Abubakar , Noor Maya Salleh  
1
*
1
1
UTB School of Business, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam  
2
Distance Learning Center, Ahmadu Bello University, Samaru 810006, Zaria, Nigeria  
Received: 28/06/2019  
Accepted: 25/08/2019  
Published: 12/09/2019  
Abstract  
Drawing upon resource-based theory, as well as contingency theory, this study examined the role of competitive intensity in  
moderating the relationships between entrepreneurial orientation, total quality management, and SME performance. Using a stratified  
random sampling, 714 self-administered questionnaires were distributed to ownermanagers of SMEs operating in Kano and Kaduna  
in the north-west geopolitical zone of Nigeria. Of the 714 questionnaires distributed, 440 unusable questionnaires with 62 percent  
responses were returned and further analysed. The hypotheses were tested using Partial Least Squares Structural Equation Modeling  
(
PLS-SEM). Results supported the hypothesised main effects of entrepreneurial orientation, and total quality management, on SME  
performance. Also, the competitive intensity was found to moderate the relationships between entrepreneurial orientation and SME  
performance. On the contrary, no significant interaction effect was found between total quality management and competitive intensity.  
The theoretical contribution of the present study lies in its use of competitive intensity as a moderator of the relationships between  
entrepreneurial orientation, total quality management, and SME performance.  
Keywords: Entrepreneurial Orientation; Total Quality Management; Competitive Intensity; Performance.  
1
upper middle income countries, SMEs are important economic  
agents for growth.  
1
Introduction  
Small and medium-sized enterprises (SMEs) have been  
In Southeastern Asia, SMEs are integral to ASEAN  
economic integration, providing approximately 80 percent of  
employment, and contributed as much as 50 percent to the  
GDP, as well as significantly constituting more than 96  
percent of enterprises in the region (8). Specifically, in  
Malaysia, the contribution made by SMEs to the GDP in 2015  
was 36.3 percent (9), while in China, SMEs contributed 60  
percent to GDP in 2015 (10).  
In contrast to the aforementioned countries in developed  
and emerging economies, the contribution made by SMEs to  
the GDP of Nigeria was 48 percent in 2015 (11). In the same  
vein, compared to the countries having the same levels of  
development with Nigeria, such as South Africa, Ghana, and  
Kenya, among others; SMEs contribute a much higher  
proportion to GDP than currently observed in Nigeria. For  
example, while SMEs in Nigeria contribute 48 percent of the  
country’s GDP in 2015, in South Africa, Ghana, and Kenya,  
identified as major drivers of economic growth,  
competitiveness and jobs creation, in both developed and  
developing countries (1-5). It is also generally accepted in both  
theory and practice that SMEs are used as engine for solving  
socio- economic problems such as unemployment, poverty  
alleviation. For example, SMEs have been regarded as critical  
to economic growth, employing 88.8 million people, as well  
as generating €3,666 trillion in valued added, representing 28  
percent of Gross Domestic Product (GDP) in the 28 European  
Union (EU) member states (6). Relatedly, the contribution  
made by SMEs to the GDP and employment of high income  
countries, such as Australia, Austria, Canada, and Germany,  
were 55 percent and 65 percent, respectively. It is also  
estimated that in the United Kingdom (UK), SMEs contribute  
60 percent to total employment and about47 percent of all  
private sector turnover (7). It has also been reported that in  
Corresponding author: Kabiru Maitama Kura, UTB School of Business, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong  
BE1410, Brunei Darussalam. E-mail: kabiru.kura@utb.edu.bn.  
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SMEs contribute about 55 percent, 70 percent and 98 percent  
of the countries’ GDPs, respectively (12-15).  
Although Nigeria remains Africa's biggest economy,  
evidence has shown that business enterprises, including SMEs  
concluded that firms adopting total quality management has a  
potential to achieve sustainable competitive advantage.  
Demirbag, Koh (32) also demonstrated that TQM  
implementation has a significant and positive relationship with  
SME’ performance. In the same vein, Vinod, Franck (39)  
found positive relationships between TQM implementation  
and firm performance. Christos and Evangelos (35) showed  
that a number of TQM factors, including quality practices of  
top management, employee involvement, customer focus,  
process and data quality management, and quality tools and  
techniques improved organizational performance. In Turkey,  
Akgün et al’s (34) demonstrated that TQM had significant and  
positive effects on firm’s financial performance. Besides the  
aforementioned empirical studies, there are also several  
studies that established significant and positive relationships  
between total quality management practices and firm’s  
performance (e.g., 40, 41, 42). Consistent with above  
discussion, a positive relationship between TQM and SME  
performance is also expected in the present study.  
Accordingly, the following hypothesis is advanced:  
have been facing challenges, such as  
entrepreneurial  
orientation deficiencies, poor market orientation, lack of  
competent management, intense competition, low demand for  
product and service lack of financial support, lack of training  
and experience, unfriendly business environment, and limited  
capacity for innovations, among others (16-20). Therefore,  
given the aforementioned statistics and issues, it will be  
pertinent to understand the underlying factors that affect SME  
performance. Accordingly, the purpose of this study was to  
examine whether competitive intensity would moderate the  
relationships among entrepreneurial orientation, total quality  
management, and performance in Nigerian manufacturing  
SMEs. To this end, the rest of the paper is organized as  
follows. Section 2 provides a detailed review of literature of  
literature toward the development of a theoretical model that  
explains the moderating role of competitive intensity in the  
relationships among entrepreneurial orientation, total quality  
management, and SME performance. Hence, these  
relationships was explained from resource-based and  
H2: There will be a positive relationship between TQM  
implementation and SME performance.  
contingency perspectives.  
Section  
3
describes the  
2.3 Competitive Intensity as a Moderator  
methodology employed in this study. Next, empirical results  
are presented in section 4. The final section discussed  
theoretical and practical implications of the findings before  
offering suggestions for future research.  
Given that competitive intensity is one of the underlying  
dimensions of external business environment, evidence  
supporting the role of competitive intensity as a moderator  
would be largely drawn from business environment literature.  
Past research suggests that competitive intensity plays a crucial  
role in determining organizational performance (43-47).  
Specifically, Ramaswamy (44) has contributed to the literature  
by investigating the moderating effect of competitive intensity  
on the relationship between ownership and performance of  
large manufacturing firms across both public and private sector  
in India. Results of their empirical analyses revealed that the  
relationship between ownership and performance is contingent  
upon the intensity of competition.  
2
Literature Review  
2
.1 Entrepreneurial orientation and SME performance  
Entrepreneurial orientation has been defined as strategies,  
processes, and behaviours of firms that are reflected by  
proactiveness, innovativeness, risk-taking, aggressiveness,  
and autonomy (21, 22). As noted earlier several dimensions of  
entrepreneurial orientation are described in the literature.  
Extant researches have shown that firms that are seeking for  
Additionally, Li, Lundholm (45) showed that firm’s future  
profitability and stock returns are negatively influenced by the  
increase in the level of competitive intensity. In a more recent  
study, Lahiri (43) established that the relationship between  
firm resources and firm performance is moderated by  
competitive intensity, such that the relationship is stronger  
when there is increase in the level of competitive intensity than  
when it decreases. As noted earlier, results regarding the link  
between entrepreneurial orientation and firm performance  
were inconsistent (48-50). These contradictory findings  
reported in the literature suggest incorporating some other  
organizational variables as moderator(s) on these relationships  
in order to shed light on these contradictory findings. Previous  
studies have demonstrated the theoretical and methodological  
importance of including a moderating role of external business  
environment on the relationship between entrepreneurial  
orientation and business performance. However, most of these  
studies mainly focused on the other characteristics of external  
business environment, i.e., market turbulence, environmental  
dynamism, and technological turbulence (e.g., 49, 51), thereby  
paying less attention on other characteristics of firm's  
competitive intensity. Therefore, the following hypothesis is  
proposed.  
sustainable  
competitive  
advantage  
need  
to  
have strong entrepreneurial orientation that creates value  
added services to customers (23, 24). Entrepreneurial  
orientation is the most consistent predictor of firm  
performance. Firms that have  
a strong entrepreneurial  
orientation are more likely to out-perform other firms that have  
weak entrepreneurial orientation. More so, firms that are  
proactive, innovative, aggressive, as well as those that have  
autonomy and willing to take risk generate higher market  
share, profitability and sales growth relative to their  
competitors (25-27). Several empirical studies have confirmed  
the positive relationship between entrepreneurial orientation  
and business performance, across a variety of research  
contexts (e.g., 28, 29-31). We therefore expect entrepreneurial  
orientation to be positively SME performance. Hence, the  
following hypothesis is postulated:  
H1: There will be a positive relationship between  
entrepreneurial orientation and SME performance.  
2
.2 TQM implementation and SME performance  
A number of authors have examined the relationships  
between total quality management practices and  
organizational performance (32-39). Specifically, Powell (38)  
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H4: Competitive intensity moderates the positive  
relationship between entrepreneurial orientation and SME  
performance.  
The data for this research was obtained through a self-  
administered survey. In order to evaluate non-response bias in  
the present study, a time-trend extrapolation approach were  
used dividing the respondents into two main groups, namely;  
those who responded within 30 days (early responders) and  
those who responded after 30 days (late responders) as  
recommended by Armstrong and Overton (62). Statistically,  
this approach entails conducting an independent samples t-test  
to detect any possible non-response bias on the main study  
variables. Accordingly, the results suggest that non- response  
bias does not exists in this study. Furthermore, given that self-  
reported surveys were used to collect data at the same time  
from the same participants, we also conducted common  
method variance (CMV) test using Harman’s one-factor test  
was used in the present study (63, 64). The results of CMV test  
based on principal components factor analysis yielded 32  
factors, with first factor accounting for only 37% of the  
variance. It was also found that no general factor was evident  
in the unrotated factor structure. As such, the results suggest  
that CMV was not a major concern in this study.  
Theory and extant empirical studies also suggest that  
competitive intensity can moderate the relationship between  
total quality management implementation and SME  
performance (52-54). Specifically, Contingency theory  
suggests that a firm's competitive intensity could be a potential  
moderator of the relationship between total quality  
management and SME performance. Such that when  
competitive intensity is high, the relationship between total  
quality management and SME performance would become  
stronger (more positive), whereas, when the competitive  
intensity is low, the relationship between total quality  
management and SME performance is weaken (55).  
Furthermore, in today's highly uncertain business environment,  
quality improvement programmes and competitiveness are  
critical to organizational effectiveness. Consequently, when an  
organization's quality improvement programmes like TQM  
generates value for customers that is rare and difficult to imitate  
(
26, 27, 38), it can be a source of sustainable competitive  
advantage which will allow firms to out-perform their  
competitors who pay lip service to the implementation of total  
quality management (56). Therefore, the following hypothesis  
is advanced.  
H5: Competitive intensity moderates the positive  
relationship between total quality management implementation  
and SME performance.  
3.2 Measures  
3.2.1 Entrepreneurial orientation  
Entrepreneurial orientation was assessed using Covin and  
Slevin’s (50) entrepreneurial orientation scale. Specifically,  
this scale contains nine items, of which three items were  
designed to measure the innovativeness dimension of  
entrepreneurial orientation, three items to assess risk taking,  
and the remaining three to measure proactiveness.  
Entrepreneurial orientation was rated using seven-point Likert  
scale ranged from 1 = strongly disagree to 7 = strongly agree.  
Sample item include: “Our firm favours a strong emphasis on  
R&D, technological leadership, and innovations”. “The  
internal consistency coefficient (i.e., Cronbach Alpha) for  
entrepreneurial orientation was 0.87.  
3
Method  
3
.1 Sample and Procedure  
In the present study, the population of interest will be the  
SMEs in the manufacturing sector of Nigeria. According to the  
National Bureau of Statistics and Small and Medium  
Enterprises Development Agency of Nigeria (57), there are  
currently 6,652 SMEs in the manufacturing sector of Nigeria.  
Out of the 6,652, a total number of 3,090 are based in Kano  
and the Kaduna states. For the purpose of this study, the target  
population will be 3,090 SME in Kano and Kaduna, the  
northwest geo-political zone of Nigeria. Kano and Kaduna  
states are selected for this study because they have high  
concentration of business enterprises in the northwest geo-  
political zone of Nigeria. Therefore, following Saunders,  
Lewis, and Thornhill’s Saunders, Lewis (58) sample size  
determination table, given population of 3,090 SMEs in Kano  
and Kaduna states, a sample size of 357 is required. Hence,  
3.2.2 Total Quality Management  
A 7-item scale developed by Chenhall (65) was used to  
measure total quality management in this study. Specifically,  
the items in this scale asked the participants to indicate the  
extent to which their firms have implemented programmes  
over the past three years to improve the quality of products and  
processes, efficiency, minimizing waste, as well as involving  
employees in the continuous improvement. Additionally, total  
quality management was rated by the participants using seven-  
point Likert scale ranged from 1 = strongly disagree to 7 =  
strongly agree. Sample item include: “Our firm implements  
programs to improve the quality and reliable delivery of  
materials and components provided by suppliers The  
Cronbach’s Alpha for total quality management was 0.88.  
357 owners and managers are expected to respond to the  
research questionnaires. The unit of analysis was  
organizational, in which owners and managers were invited to  
participate in the study. Owners and managers were  
specifically involved as key informants because they are the  
most informed about firms’ strategies and capabilities (59),  
and could therefore respond to the research issues and the  
information sought accurately (60). Additionally, owners and  
managers were chosen as the key informants in the present  
study because decisions regarding the strategic decision  
making activities of smaller firms rest very much in the hands  
of these individuals, and could therefore stand in a better  
position to respond to the survey correctly (61).  
3
.2.3 Competitive intensity  
To assess competitive intensity, Jaworski and Kohli’s (66)  
Competitive Intensity Scale was administered. Competitive  
intensity was assessed with six items, such as “There are many  
"promotion wars" in our industry”, and “our competitors are  
relatively weak”. Participants were asked to use a seven-point  
Likert scale ranged from 1 = strongly disagree to 7 = strongly  
agree to rate extent of their agreement with statements  
describing the intensity of competition in their industry.  
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Sample item include: “Price competition is a hallmark of our  
industry”. The internal consistency coefficients (i.e.,  
Cronbach’s Alpha) for competitive intensity scale were 0.93.  
Responses were on a seven-point Likert scale ranged from  
1 = strongly disagree to 7 = strongly agree. Cronbach’s Alpha  
was 0.88 for organizational performance scales, suggesting  
good reliability.  
3.2.4 Organizational performance  
Six-items were used to assess a broad range of SME'  
3.3 Analytical Approach and Model Estimation  
performance indicators. Five items were adapted from the  
work of Powell (38), and the remaining item were drawn from  
the work of Baker and Sinkula (67). Examples of these items  
is: “Over the past 3 years, financial performance of our firm  
has exceeded our competitors”.  
The structural equation model in this study was estimated  
using PLS path modeling in conjunction with Smart PLS 3.0  
software (68). The PLS path modeling was considered  
appropriate technique of data analysis for several reasons.  
First, the PLS path modeling is considered to be suitable data  
analysis technique in this study because it can simultaneously  
assess the measurement model, which describes the link  
between theory (latent constructs) and data (corresponding  
indicators) as well as relationships among constructs. Second,  
the goal of the present study is to predict the effect of  
entrepreneurial orientation, total quality management, and  
competitive intensity on the performance of SME. Hence, the  
present study is causal-predictive in nature where a complex  
model with many variables, indicators and relations will be  
tested. This kind of complex model requires a path modeling  
approach to be employed because several researchers (e.g., 69,  
70, 71) have recommended the use of PLS path modeling when  
the goal of research is to predict the dependent variable.  
Table 1: Demographic Profile of the Respondents Surveyed  
Frequency Percentage  
Gender  
Male  
Female  
Age  
261  
147  
64.0  
36.0  
2
3
4
5
0-30 years  
1-40 years  
1-50 years  
0 years and above  
28  
6.9  
116  
180  
84  
28.4  
44.1  
20.6  
Educational qualification  
Primary School  
Secondary School  
Diploma/NCE  
Bachelor Degree  
Masters  
2
.5  
49  
78  
113  
116  
50  
12.0  
19.1  
27.7  
28.4  
12.3  
4
Results  
Others  
4.1 Assessment of Measurement Model  
Marital status  
Single  
Married  
Ethnicity  
Hausa/Fulani  
Igbo  
The measurement model was evaluated on the basis of  
individual indicator reliability, internal consistency reliability,  
convergent validity, as well as discriminant validity (69, 72,  
172  
236  
42.2  
57.8  
73). The full Measurement model was presented in Table 3.  
64  
265  
51  
15.7  
65.0  
12.5  
6.9  
4.2 Individual Indicator Reliability  
Yoruba  
Others  
In this study, individual indicator reliability was evaluated  
28  
Position  
Owner  
Manager  
based on standardized loadings for all latent constructs (69, 72,  
74-76). According to Carmines and Zeller (77), the reliability  
of an individual item is confirmed when its standardized  
loading is 0.707 or higher. As shown in Table 1, for each latent  
construct, all standardized loadings have exceeded the  
Carmines and Zeller’s (77) accepted cut-off point of 0.707,  
except four items (i.e., EO05, TQ07, CI05, and CI06), which  
were deleted from the Measurement model. Thus, individual  
indicator reliability has been found to be acceptable based on  
the measurement model results.  
79  
329  
19.4  
80.6  
Table 2: Demographic Profile of Firms Surveyed  
Frequency  
Percentage  
Ownership  
Sole proprietorship  
Partnership  
Limited Liability Company 222  
45  
141  
11.0  
34.6  
54.4  
Firm size  
Less than 50 employees  
17  
215  
87  
48  
41  
4.2  
5
1
2
5
0-99 employees  
52.7  
21.3  
11.8  
10.0  
4.3 Construct Reliability  
00-249 employees  
50-499 employees  
00 or more employees  
It has been noted earlier that reliability can be ascertained  
at either the individual indicator level or at a given construct  
level (76, 78). In this study, construct reliability was  
determined based on composite reliability index (69, 70, 74,  
Industry  
Food and beverages  
Packaging/containers  
Metal and metal products  
Printing and publishing  
Agro-allied, furniture  
Building materials  
Others  
104  
32  
35  
176  
29  
9
25.5  
7.8  
8.6  
43.1  
7.1  
2.2  
7
9). According Hair, Ringle (74), a satisfactory construct  
reliability is established when the composite reliability index  
.70 or higher. Therefore, it can be seen in Table 3 that the  
0
composite reliability indices of all latent constructs were  
between 0.863 and .0.943. This suggests that satisfactory  
construct reliability is achieved because the composite  
reliability indices reported in this present study were above the  
acceptable cut-off point of 0.70.  
23  
5.6  
Firm age  
3
7
1
1
6 years  
9 years  
0 12 years  
3 years or more  
36  
79  
73  
220  
8.8  
19.4  
17.9  
53.9  
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Table 3: Measurement Model Results  
4.5 Discriminant Validity  
The present study used Fornell-Larcker criterion approach  
to establish discriminant validity. Fornell-Larcker approach  
involves comparing the square root of AVEs (the diagonal  
entries) with the correlations between constructs (the off-  
diagonal entries) (69, 82, 84). According to Roldán and  
Sánchez-Franco (84), adequate discriminant validity is  
achieved if, the diagonal elements are significantly greater  
than the off-diagonal elements in the corresponding rows and  
columns. The results of the discriminant validity analysis using  
Fornell-Larcker criterion are reported in Table 4. Following  
Roldán and Sánchez-Franco (84), adequate discriminant  
validity has been established in the present study because the  
square root of AVEs were greater than the correlations  
between constructs .  
Average  
Variance  
Extracted  
Standardized  
Loadings  
Composite  
Reliability  
Latent constructs and indicators  
Entrepreneurial orientation  
0.941  
0.777  
EO01  
EO02  
EO03  
EO04  
EO06  
EO07  
0.856  
0.918  
0.902  
0.885  
0.879  
0.912  
EO08  
0.877  
0.821  
EO09  
Table 4: Results of Discriminant Validity Based on Fornell-Larcker  
Criterion  
Total Quality Management  
0.943  
0.735  
TQ01  
0.897  
0.883  
0.888  
0.900  
0.838  
0.724  
Latent Construct  
1
2
3
4
1
2
3
4
Entrepreneurial orientation  
Total quality management  
Competitive intensity  
SME performance  
0.882  
-0.244  
-0.474  
0.615  
TQ02  
0.857  
0.557  
-0.317  
0.849  
-0.718  
TQ03  
0.828  
Note: “Diagonal elements are the square root of the variance shared  
between the constructs and their measures (AVE). Off-diagonal  
elements are the correlations among constructs”.  
TQ04  
TQ05  
TQ06  
4
.6 Structural Model/Hypotheses Testing  
It could be recalled that the conceptual model proposes that  
Competitive intensity  
0.912  
0.721  
competitive intensity moderates the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance in Nigeria. In line with empirical evidence,  
resource based theory, as well as contingency theory, six  
research hypotheses were formulated and tested based on the  
results of structural model. Drawing on PLS path modelling  
literature, the structural model was evaluated based on five  
main criteria, namely: algebraic sign, significance of the  
CI01  
CI02  
0.860  
0.887  
CI03  
0.843  
0.803  
CI04  
SME performance  
0.929  
0.686  
FP01  
FP02  
FP03  
FP04  
0.824  
0.815  
0.855  
0.823  
2
2
structural path coefficients, f values, R values, and  
2
assessment of PLS estimates at the construct level (Q values).  
Following Hair, Hult (69), as well as Henseler, Ringle (73),  
bootstrapping with 5000 resamples was used to generate beta  
values, standard errors, t-values, and p-values. The full results  
of structural model that included both the direct effect model,  
FP05  
FP06  
0.812  
0.839  
(
baseline model), and moderating effect model are presented  
in Table 5.  
4
.4 Convergent Validity  
Convergent validity refers to the degree to which two or  
Table 5: Structural Model Results  
Hypothes  
es  
Bet  
a
t-  
value  
p-  
Relations  
SE  
value  
Findings  
more measures of the same theoretical construct assessed by  
different methods are in agreement (80, 81). The existing  
literature on PLS path modelling indicates that convergent  
validity is ascertained using the average variance extracted  
Main Effect:  
EO  
0.0  
6
7.64**  
0.44  
0.11  
0.00  
0.00  
H1  
H2  
*
2.63**  
*
Supported  
Supported  
0.0  
TQM  
(
AVE; 71, 75, 82, 83). In particular, to achieve adequate  
4
Moderating  
Effect:  
convergent validity, Fornell and Larcker (82) recommended  
that AVE values should be 0.50 or higher. As indicated in  
Table 3, AVE values ranged between 0.679 and 0.777, and all  
latent constructs demonstrate AVE values higher than the  
recommended threshold of 0.50. Hence, it can be concluded  
that adequate convergent validity has been established in the  
present study.  
-
0.0  
4
0.0  
5
2.84**  
*
EO x CI  
0.00  
0.43  
H3  
H4  
0.12  
-
0.01  
Supported  
Not  
supported  
TQM x CI  
0.18  
Note: EO = Entrepreneurial orientation; TQM = Total Quality Management; CI =  
Competitive intensity; SMEP = SME performance; Note: ***Significant at 0.01 (1-  
tailed), **significant at 0.05 (1-tailed), *significant at 0.1 (1-tailed).  
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is reported in Table 6. As shown in Table 6, the strength of the  
effect of the four exogenous latent variables, namely:  
entrepreneurial orientation, total quality management, and  
competitive intensity on endogenous latent variable were  
0.298, 0.011, 0.040, and 0.605, respectively. Accordingly,  
based on Cohen’s (1988) guidelines, the effects sizes of these  
four exogenous latent variables on SME performance can be  
described and interpreted as medium, none, small, and large,  
respectively. Results of moderating effects size are also  
reported in Table 7. Following Cohen’s (1988) threshold,  
Table 7 indicated that the strength of the moderating effect of  
competitive intensity on the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance was 0.123, suggesting small effect size.  
4
.7 Algebraic Signs  
As indicated in Table 5, the algebraic signs (beta values)  
in the direct effect model were all positive, which is consistent  
with the first three research hypotheses were formulated.  
Specifically, the positive beta values direct effect model  
suggests that Hypotheses 1-3, the relationships between  
exogenous latent variables and endogenous latent variables are  
positive. For example, there is a positive relationship between  
entrepreneurial orientation  
and SME performance.  
4.8 Significance of the Structural Path Coefficients  
Regarding the significance of the structural path  
coefficients, of the six hypotheses postulated and tested, H1,  
H2, and H3 were statistically significant, while H4 was not  
found to be statistically significant. It could be recalled that  
Hypothesis 1 predicted that there will be a positive relationship  
between entrepreneurial orientation and SME performance. As  
indicated in Table 5, a significant positive relationship  
between entrepreneurial orientation and SME performance  
was found (β = 0.44, t = 7.64, p< 0.01). Accordingly,  
Hypotheses 1 was supported. Hypothesis 2 predicted that there  
will be  
a positive relationship between total quality  
management and SME performance. Results (Table 5)  
indicated that total quality management had a significant  
positive relationship with SME performance  = 0.11, t =  
2.63, p < 0.01), supporting Hypothesis 2. It could be recalled  
that Hypothesis 3 postulated that competitive intensity  
moderates the positive relationship between entrepreneurial  
orientation and SME performance. Specifically, this  
relationship is stronger (i.e. more positive) when business  
environment is highly competitive than when it is not  
competitive. The results shown in Table 5 indicated that the  
interaction terms representing entrepreneurial orientation and  
competitive intensity, towards predicting SME performance (β  
Figure 2: Interaction Effect of Entrepreneurial Orientation and  
Competitive Intensity on SME performance  
Table 6: Effect Sizes in the Main Effect PLS Path Model  
2
Endogenous Latent Variables  
Entrepreneurial orientation  
Total quality management  
Competitive intensity  
Effect size (f )  
0.298  
=
-0.12, t = 2.84, p < 0.01) was statistically significant. Hence,  
0.011  
0.605  
Hypothesis 3 was fully supported. Following procedures  
recommended by Dawson and Richter (85), as well as Dawson  
Note: Endogenous Latent Variable = SME Performance  
(
86), information from the structural model results was used to  
plot a graph depicting the moderating effect of competitive  
intensity on the relationship between entrepreneurial  
orientation and SME performance. Figure 2 demonstrates that  
the relationship between entrepreneurial orientation and SME  
performance is stronger (i.e. more positive) when business  
environment highly is competitive than when it is not  
competitive.  
Regarding Hypothesis 4, which posited that competitive  
intensity moderates the positive relationship between total  
quality management and SME performance. Specifically, this  
relationship is stronger (i.e. more positive) when business  
environment highly is competitive than when it is not  
competitive. As indicated in Table 5 , this hypothesis was not  
because the interaction terms representing total quality  
management and competitive intensity, towards predicting  
SME performance was not statistically significant (β = -0.01, t  
Table 7: Moderating Effect Size  
Included Excluded f-squared  
0.675 0.635 0.123  
Effect size  
Small  
R-squared  
4
.10 Coefficient of Determination  
Table 5 presents the R-squared values of the main effect  
structural model, as well as the moderating effect structural  
model. The coefficient of determination for the main effect  
PLS model was 0.635. This suggests that the four sets of  
exogenous latent variables (i.e., entrepreneurial orientation,  
total quality management, and competitive intensity)  
collectively explain 64% of the variance in SME performance.  
In the same vein, our results also showed that the coefficient  
of determination for the moderating effect PLS model was  
0
.675. This suggests that after computing the interaction terms,  
the four sets of exogenous latent variables (i.e., entrepreneurial  
orientation, total quality management, and competitive  
intensity) collectively explain 68% of the variance in SME  
performance. Taken together, the coefficients of determination  
for both the main effect PLS models, as well as the moderating  
effect PLS model were above Hence, Falk and Miller’s (1992)  
=
0.18, p > 0.10).  
4
.9 Assessment of Effect Size (f2)  
The strength of the effect of exogenous latent variables on  
endogenous latent variable in the main effect PLS path model  
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acceptable levels of R-squared values. Hence, it can be  
concluded that the R-square values reported in both the main  
effect and moderating effect PLS models were satisfactory and  
acceptable.  
various similar organizational performances. The result was  
also in accordance to the proposition by resource-based theory  
that a firm can achieve sustained competitive advantage and  
superior performance by formulating and implementing  
strategy that generates increased value for the firm relative to  
its competitors; and sustainability is said to be achieved if the  
increased value remains when competitors stop trying to copy  
or imitate the competitive advantage (26, 27, 91, 92). Based  
on theory and empirical evidence, it could be summed up that  
entrepreneurial orientation could bring forth positive SME  
performance, which include better return on assets, financial  
profitability or return on equity, return on sales, higher level of  
return on investments than that of competitors, increase in  
market share relative to competitors, as well as increase in sale  
volume relative to competitors, among others.  
4
.11 Assessment of PLS Estimates at the Construct Level  
In line with Chin’s (75) recommendation, Results of  
2
Stone-Geisser test of predictive relevance (Q ) are presented  
in Table 6. As shown in Table 8, the crossvalidated redundancy  
2
(
Q value) for endogenous latent variable (SME performance)  
was 0.427, suggesting that the structural model in this study  
has predictive relevance (73, 75).  
5
Discussion  
Overall, the present study provided supportive evidence  
Total quality management was also reported to have a  
significant positive influence on SME performance in this  
study. This denotes that firm that implements total quality  
management is able to achieve sustainable business  
performance. The results also provided empirical support to  
the resource-based theory that articulated total quality  
management practices as a crucial element in achieving  
sustained competitive advantage and superior performance of  
firm, relative to its competitors (26, 27, 91, 92). Furthermore,  
this finding was very much similar to the previous studies in  
the literature of total quality management, including Akgün,  
Ince (34), Christos and Evangelos (35), Powell (38), Shaukat,  
Jen Li (36), and Fields and Roman (93), Despite different  
context in terms of cultural backgrounds, organizational  
settings, as well as demographic factors, the aforementioned  
empirical studies reported similar findings to the present study  
in which total quality management practices had impacted  
various organizational performance. If firms implement total  
quality management practices by adopting a series of  
strategies, such as quality practices of top management,  
employee involvement, customer focus, process and data  
quality management, they are more likely to achieve  
sustainable competitive advantage by being able to achieve  
superior business performance. Based on theory and empirical  
evidence the present study has succeeded in substantiating the  
empirical link between total quality management and SME  
performance in Nigerian context. To sum it up, this study has  
succeeded in achieving the second research objective.  
regarding the role of competitive intensity as a moderator on  
the relationships between entrepreneurial orientation, total  
quality management practices, and SME performance. This  
responds to calls for more research on the role of business  
environment factors in predicting organizational performance.  
The subheadings of the discussions of research results section  
are organized according to the objectives of the study. As  
noted earlier, the first objective of the present study was to  
assess the influence of entrepreneurial orientation on SME  
performance. Based on the results of Partial Least Squares path  
modeling, the present study reported that entrepreneurial  
orientation positively influenced SME performance.  
Table 8: Construct Cross-Validated Redundancy  
SSO  
SSE  
Q¬≤ (=1-SSE/SSO)  
Entrepreneurial  
orientation  
Total quality  
management  
Competitive  
intensity  
3
2
1
2
,264.000  
3,264.000  
,448.000  
,632.000  
,448.000  
2,448.000  
1,632.000  
1,401.617  
SME  
performance  
0.427  
It is imperative to remember that entrepreneurial  
orientation was defined as a firm-level predisposition and  
commitment to engage in behaviors that lead to change in the  
organization or marketplace, such as initiating and sustaining  
new ideas that lead to new product offerings, implementing  
new business processes in order to expand new markets, trying  
out new product offerings in the face of uncertainty,  
encouraging employees to be independent in initiating and  
implementation of innovative ideas, and monitoring industry  
trends and competitors' best practices Voss, Voss (87). A  
plausible explanation for this is that a firm that engages in  
entrepreneurial orientation is likely to achieve superior  
business performance and sustained competitive advantage  
The findings of the present study provide substantial  
support for the moderating role of competitive intensity. They  
provide practical implications regarding how small and  
medium enterprises successfully cope with various pressures  
from competitors (94). In particular, results suggest that small  
and medium enterprises operating in highly competitive  
environment increase their performance by practicing  
entrepreneurial orientation. They response to the threat of their  
competitors by being proactive, innovative and risk takers  
(
23, 51, 88). Thus, entrepreneurial orientation requires a firm  
to engage in product-market innovation, undertake somewhat  
risky ventures, and is first to come up with “proactive”  
innovations, beating competitors to the punch” Miller (22).  
The significant positive influence of entrepreneurial  
orientation on SME performance in this study was consistent  
with many of the past empirical studies, such as Li, Huang, and  
Tsai (48), Jalali, Jaafar, and Ramayah (31), Real, Roldán, and  
Leal (89), Tang, Chen (90), Collectively, these studies found a  
significant positive impact of entrepreneurial orientation on  
(
95). Accordingly, the empirical findings of the present study  
contribute to previous literatures by demonstrating that  
competitive intensity differentially moderates the relationship  
between entrepreneurial orientation and SME performance. In  
other words, competitive intensity serves as a variable that  
strengthen the relationship between entrepreneurial orientation  
and SME performance.  
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Unexpectedly, the results of the present study do not  
support the initial postulation of the moderating role of  
competitive intensity on the relationship between total quality  
management practices and SME performance. In other words,  
competitive intensity was not found to be a significant  
moderator between total quality management and SME  
performance. Perhaps the inconsistent result could be  
attributed to the study context. Specifically, one of the  
plausible reasons for the unexpected findings could be that, in  
Nigeria, due to financial constraints as results of current  
economic recession, SMEs do not properly implement total  
quality management strategy toward sustained organizational  
performance. This plausible explanation for the unexpected  
non-significant results is consistent with Abubakar and  
Mahmood’s (96) argument that total quality management  
strategy is resource consuming and the implementation of such  
strategy dependent largely on firm's resource capacity. The  
higher the firm's resource capacity, the more likely it would  
properly implement TQM; and vice versa  
satisfy customer expectations and improve their organizations’  
performance (32).  
Finally, the findings also indicate that competitive  
intensity moderated the relationships between entrepreneurial  
orientation, and SME performance. Thus, given that the  
external environment in which organizations compete is  
dynamic and rapidly changing, it is imperative for managers of  
SMEs to also constantly change their strategies and operations  
to reflect these increasing changes in business environment  
(100). Thus, managers should focus on the strategy variables,  
particularly entrepreneurial orientation, since these variable  
significantly related to performance in their environments and  
adjust their strategies accordingly (101).  
5.2 Limitations and Future Research Directions  
Despite its contributions, the present study has a number  
of limitations that merit discussion. The following section  
discusses the limitations of the study. First, SME performance  
data used in the present study was only perceptual or  
subjective. Although researchers (e.g., 102, 103) showed that  
subjective measure of firm performance is valid and reliable  
proxies for objective measures, however, objective measures  
of firm performance has been found to be relatively free from  
measurement error (104, 105). Therefore, future research  
could incorporate objective measures of SME performance in  
order to replicate the findings of the current study. Second, the  
present study offers quite limited generalizability because it  
focused mainly on SMEs in Nigerian Manufacturing sector,  
particularly those located in Kano and Kaduna in Northwest  
geo-political zone. Thus, subsequent similar works are needed  
to include SMEs in other sector of the economy or geo-  
political zones in order to generalize the findings. Furthermore,  
future research could study and compared Manufacturing  
sector with other sector including banking sector, and real  
estate industry.  
5.1 Practical implications  
From a practical point of view, the results of this research  
provided important insights on how entrepreneurial orientation,  
total qualitymanagement, and competitive intensity could enhance  
the overall performance of SMEs in Nigerian manufacturing  
sector. Subsequently, the results of this study would serve as a  
blueprint for the policy-makers and practitioners in  
formulating vital policies that could assist and help in  
improving the overall performance of SMEs. The findings  
suggested that managers of SMEs require working alongside  
strategic business units, including marketing and quality  
assurance departments to design relevant policies that help in  
promoting customer satisfaction and firm performance (97,  
98).  
Furthermore, the findings of this study indicated that  
entrepreneurial orientation was a significant predictor of SME  
performance. The findings have practical implications for  
SMEs in Nigeria. In particular, findings indicate that  
proactiveness, aggressiveness and innovativeness have  
emerged as important strategies that grants SMEs better  
capability to exploit the new opportunities in the Nigerian  
business environment, thereby achieving sustained  
competitive advantage (99). Managers of SMEs ought to  
realize that research and development capabilities, and new  
product lines will play an important role in the survival and  
prosperity of their firms than ever before (99). Additionally,  
the findings confirm the significant positive relationship  
between total quality management practices and performance  
of SMEs in Nigerian manufacturing sector. This finding  
implies the need to encourage employees’ involvement and  
participation in the implementation of total quality  
management. Specifically, SMEs ought to develop formal  
reward and recognition systems in order to encourage  
employee involvement and participation, provide feedback to  
the employees, as well as support teamwork (32). This finding  
also suggests the need for commitment of top management in  
the implementation of total quality management. The top  
management of SMEs should develop an appropriate  
organization culture, vision, and quality policy in order to  
Third, the present study employed a cross-sectional  
design. One major weakness of cross-sectional design is that it  
does not allow causal inferences to be made from the  
population. Hence, given the shot coming of cross-sectional  
design, future research is strongly needed using longitudinal  
research design in order to measure and re-examine the  
relationship between entrepreneurial orientation, total quality  
management, competitive intensity and SME performance by  
collecting data at different points in time to confirm the  
findings of the present study. Fourth, it could be remembered  
that all items for each construct in this study were rated by  
single key informants (owner/manager). Research  
demonstrates that the use of single key informants can produce  
valid and reliable results when the key informants are highly  
knowledgeable about the affairs of their firm. Nevertheless,  
use of single key informants is susceptible to judgmental  
biases when the key informants are not highly knowledgeable  
in the affairs of their firms (106). Although it is not always be  
feasible, using multiple informants would have clearly  
strengthened the results. Hence, future research is needed to  
replicate the findings of the current study using multiple  
informants.  
Fifth, the present study reported that the structural model  
explained 64 percent of the total variance in in SME  
performance. This implies that there remain some variables  
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that could significantly explain the variance in SME  
performance, but not included in the research model. In other  
words, the remaining 36 percent of the variance in SME  
performance might be explained by other factors. Hence, this  
represents a methodological limitation of the present study.  
Future research is therefore needed to include more variables  
that might yield additional variance in SME performance. For  
example, given the fact that the context of this (Nigeria) is  
prominently a collectivist culture (107), it is likely that cultural  
orientation might moderate the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance. Thus more research is needed to confirm  
whether collectivist culture maters in the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance.  
on investment. Responding to a highly competitive market in  
which competitors adopts an aggressive program to keep the  
costs of theirs product very low is also an important strategic  
option to achieve and/or maintain a sustainable competitive  
advantage.  
References  
1. Tuck L. Keynote address. Ministerial conference: Stronger SMEs  
for shared prosperity  
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Austria2014.  
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European Commission. Small and medium-sized enterprises  
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Leegwater A, Shaw A. The role of micro, small, and medium  
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008.  
Shehu AM, Mahmood R. Market orientation and organizational  
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Conclusions  
4
5
.
.
The primary goal of the present study was to examine the  
A
underlying factors influencing the performance of small and  
medium enterprises in Nigerian context. Investigating the  
factors that influence SME performance was particularly  
important owing to the contributions of small and medium  
enterprises to the economic growth of Nigeria. Specifically,  
this study tested the direct effects of entrepreneurial  
orientation, and total quality management on SME  
performance. The study also tested the moderating role of  
competitive intensity on the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance. Generally, the cross-sectional analyses  
provide empirical support for the hypothesized relationships.  
This study showed that competitive intensity is an important  
boundary condition of the relationships between  
entrepreneurial orientation, total quality management, and  
SME performance. The results also supported theory and  
research in demonstrating the main effects of entrepreneurial  
orientation, and total quality management on SME  
performance on SME performance. Furthermore, the present  
study has provided some empirical support for the moderating  
effect of competitive intensity on the relationship between  
entrepreneurial orientation, total quality management, and  
SME performance.  
International Affairs and Global Strategy. 2014;24:1-10.  
Aris NM. SMEs: Building blocks for economic growth. Statistics  
Malaysia. 2007;1:1-14.  
6. Muller P, Gagliardi D, Caliandro C, Bohn NU, Klitou D. Annual  
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