ACTA UNIVERSITATIS DANUBIUS
Vol 14, no 5, 2018
The Effect of Industrial and Internal Factors to the Firm’s
Performance
Xhavit Ajvaz Islami1, Enis Shaban Mulolli2, Naim Mustafa3
Abstract: In this article we analyze the effect of factors industrial and internal to the firm’s
performance. Industrial and internal factors are the important issue in today’s business environment,
which changes constantly. If the enterprise wants to survive, grow and increase profits it must change
its strategies continuously. The need for change comes from two main premises: industrial environment
and internal environment. From the industrial environment treated competitive forces as (rivalry among
competitors, the power of buyers, power of suppliers, the threat of new products, the threat of new
entrants), forces that are uncontrollable by the enterprise. Meanwhile, the internal environment is
established in the organization, destined to fulfill any requests from external environment. The aim of
this paper is to show the linking of industry factors and internal factors on the performance of firms in
Kosovo. The methodology used in the paper is a combination of qualitative and quantitative data.
Results of the research are processed data of 97 firms which operate in in the Republic of Kosovo; the
data are collected in two different period times 2015 and 2017, and were processed with the help of
SPSS v 23. The results show that internal business factors have a larger positive impact on firm’s
performance than industry factors.
Keywords: Industry factors; internal factors; firm’s performance
JEL Classification: L16; L22; L25
1. Introduction
Nowadays, firms face two sets of challenges: identification of factors, and decisionmaking in regard to the strategy it will implement. Enterprise can not be successful
1
Department of Management, Faculty of Economics, University “Kadri Zeka”; Department of
Management and Informatics, Faculty of Economics, University “Hasan Prishtina” Republic of
Kosovo, Address: str. “Zija Shemsiu” no nr. 60000 Gjilan, Republic of Kosovo, Tel.: +383 (0)45 669
399, E-mail: xhavit.islami@uni-pr.edu; xhavitislami@gmail.com.
2
Department of Management and Informatics, Faculty of Economics, University “Hasan Prishtina”,
Address: Rr. "George Bush", p.n., 10 000 Prishtinë, Republic of Kosovo, Tel.: +383 (0)45 673 681, Email: enis.mulolli@uni-pr.edu.
3
Department Management, Faculty of Economics, University “Kadri Zeka”, Republic of Kosovo,
Adress: Str. “Zija Shemsiu” no 60000 Gjilan, Republic of Kosovo, Tel.: +383 (0)44 376 376.
Corresponding author: naim.mustafa@uni-gjilan.net.
AUDŒ, Vol. 14, no. 5, pp. 154-166
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without managing changes in the most effective way. Market economy is an
important designation in the modern era.
This has the significance of the development of privately owned businesses, in
democratic conditions, in liberated markets. There are no specific obstacles to enter
and operate in markets, except the problems arising from them, by the economic
entities itself (Jakupi, 2008). Challenges are connected with the level of competition
that the enterprises reach, efforts and commitment of the companies to be better,
more capable and possibly the leader.
Often the question arises, “How can we adjust to the industrial environment”? The
answer is very clear: by drafting an effective strategy in the enterprise. In the present
century organizations are more exposed to the increasing global competition,
customer expectations and changes. To address these pressures, many organizations
are in the situation either change or bankrupt (Beer & Nohra, 2000). In order to
understand the factors that affect the enterprise, it is necessary to identify, analyze
and study them.
The reason that exhorted us to analyze this issue was the difference thinking between
authors if the internal or external factors are more important to business success. The
industrial organization approach regarding with competitive advantage emphasize
that external (industry) factors are more important than internal factors that firms to
achieve competitive advantage in the industry (David, 2011). Firm’s performance,
they contend, is primarily based more on industry properties, such as economies of
scale, barriers to market entry, product differentiation, the economy, and level of
competitiveness than on internal resources, capabilities, structure, and operations
(David, 2011). While, Grant, (1991) concluded that the internal control is more
crucial than external control, saying: “in a world where customer preferences are
unstable, the identity of customers is changing, and the technologies for serving
customer requirements are continually evolving, an externally focused orientation
does not provide a secure foundation for formulating long-term strategy”. When the
external factors are continuous change, the firm’s own resources and capabilities
may be a much more stable basis on which to define its identity, hence, a definition
of a business in terms of what it is capable of doing may offer a more durable basis
for strategy than a definition based upon the needs which the business seeks to
satisfy. In contrast to the industrial organization theory, supporters of the resourcebased view stressed that firm’s performance will essentially be determined by
internal factors that may be grouped into three all-encompassing categories: physical
resources, human resources, and organizational resources (Barney, 2001). However,
effective integration and understanding of both external and internal factors are
essential to securing and keeping a competitive advantage.
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2. Theoritical Review
The three general areas of an organization that must be adapted to change are: the
structure of organization and projections, technology and operations and the people
(Griffin RW, 2005).
Ability to harmonize the internal environment of the organization with the
requirements of the industrial environment is essential for the survival of the
organization in an environment that changes constantly and understanding of the
organizational environment is a necessary skill for successful performance in
organizations (Burnes, 2004).
To assess the situation, firms should investigate the industrial environment. There is
a process of four steps for assessing the industrial environment: first needs to be set
a quantitative value for each of the “forces of change”; secondly, to assess the impact
of each forces in the enterprise; thirdly, to multiply the weight with the evaluation of
each factor, in order to determine a weighted score; and fourthly, to interpret the
result- What does it mean? (Banham, 2010). Michael E. Porter (1979; 1980; 1985;
1987; 1996; 2008) defines the industrial competition in five forms: the rivalry among
existing competitors; the risk from the new entrants in the industry, the risk from the
substitute products or services, the power of buyers and power of suppliers.
The supporters of industrial organization approach claim that the performance of the
company is mainly based on the industry’s attributes, such as economies of scale,
barriers to enter the market, product differentiation, the economy and the level of
competition in resources, skills, structure and internal operations (David, 2011). In a
survey conducted by Borici & Osman (2015), in 460 firms in northern Albania,
resulted that the external environment has more impact in creating competitive
advantage of enterprise than the internal environment.
In the health care and airlines industry, changes may be caused by regulatory
changes, while in other cases (eg, health care) changes can be driven by competitive
forces (Achilles & Arthur, 1999). The ability of a firm to benefit competitive
advantage depends on how well it positions itself in a particular industry (Porter,
1979). So, industrial factors (the threat of new entrants, bargaining power of buyers,
bargaining power of suppliers, the threat of substitute products or services, and the
rivalry among existing firms) put us in difficult competitive situations (Porter, 1979).
Efforts should be made to sustain oneself while our competitors try to drive us out
of business (Husso & Nybakk, 2010).
Teece (2007), makes the difference between resources/competencies and dynamic
capabilities and he enacts these results when the organization owns
resources/competences, but lacks dynamic capabilities it can provide competitive
returns for a short-term, but not for a long-term. Comparing the performance
between industries, (Gadenne, 1988) concluded that the retail industry products with
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lower price than competitors, the high sales turnover, cost reduction and quality
control of products are positively related to performance; while in the manufacturing
industry, performance is positively related with the competitive advantage factors
(products with lower prices than competitors and knowing about the activities of
competitors).
Although the method based on resources highlights the fact that internal resources
are more important than external factors in achieving competitive advantage, it can
not be stated explicitly that only internal factors or external factors will always be
important to achieve competitive advantage (David, 2007). For a resource to be
valuable, it must be either: rare, hard to imitate, or not easily substitutable, these
three characteristics of resources enable a firm to implement strategies that improve
its efficiency and effectiveness and lead to a sustainable competitive advantage
(David, 2011). As much as a resource is rare, non imitable, and non substitutable,
the stronger a firm’s competitive advantage will be and the longer it will last (David,
2011). Barney (1991, 1995) argued that sustained competitive advantage stemmed
from the acquisition and effective use of bundles of distinctive resources that
competitors cannot imitate. A lot of investigations adopt the resource-based view,
which highlights the heterogeneity of firms and the role played by internal attributes
in firm’s performance (Wernerfelt, 1984). These basic competences include: human
resource competences, which include, a firm’s knowledge and skills, accumulated
either through the training of its workforce (Song et al., 2003); technological
competences, mainly measured by R&D intensity (Bhattacharya & Bloch, 2004); a
result of the experience gained over time (Hoffman et al., 1998); the mutuality of
work teams (Cooper, 1990); the formalization of domestic communication systems
(Rothwell, 1992); and organizational competences, that are linked to administrative
styles (Webster, 2004).
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-
-
Industry factors:
rivalry among competitors
the power of buyers
power of suppliers
the threat of new products
the threat of new entrants
Vol 14, no 5, 2018
H1
(+)
H3
(H1>H2)
Firm’s performance:
- Increasing profit
- Increasing incomes
- Increasing parts of the
market
- Returning of investment
(ROI)
Internal factors:
physical resources
H2
(+)
human resources
- Lowering costs
- Improving quality
organizational resources
Figure 1. Model of analysis
3. Hypotheses
According to literature, the hypotheses are raised to measure the relationship
between factors industry and internal with firm's performance, in a manner that from
diversity of applying factors is determined the business performance.
H1: Industry factors have a positive relationship and are important statistically with
firm’s performance.
H2: Internal factors have a positive relationship and are important statistically with
firm’s performance.
H3: Industry factors have more impact on firm’s performance than internal factors.
4. Methodological Approach
To realize this research, the methodology consists in a combination of primary and
secondary data. The article has been prepared using the analysis of secondary data
(scientific publications and articles from specialized databases, such as Science
Direct, Web of Science, Emerald, Springer and ProQuest, ect.) while the primary
data are conducted in a sample group of firms that implement their activity in
Kosovo, the data are collected in two different period times 2015 and 2017. For the
empirical analysis of the study, the data are gathered from a self-administered
questionnaire. The questionnaire articles of the study has been prepared, the
participants were randomly chosen, the responses obtained, the econometric model
is constructed in order to test empirically, this relationship passed through the IBM
SPSS v.23.0 program which has been utilized for the obtained findings.
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4.1. The Representative Sample
From 130 questionnaires which are distributed to 130 firms, only 97 were well-filled.
So, 97 respondents is satisfactory number to do regression analysis and to generalize
results of this research. The questionnaire has been prepared in the way that the
respondents to take their opinion related to the impact of factors industry and internal
into firm’s performance. Respondent firms that were studied, practiced different
activities as 34% are commercial enterprises, 43% manufacturing, 17% service and
6% construction. The scale used in the questionnaire is based on a 5-point Likert
scale (5 = strongly agree, 4 = agree, 3 = neutral, 2 = slightly disagree, 1 = strongly
disagree).
4.2. Implement Design
To realize the regression analysis firstly we have to see the relationship between the
independent variables, from the general rule of correlation (−0.7 to 0.7) if the value
is outside these limits, the variables have strong relationship between them, which
may produce incorrect results. If it has a high correlation between independent
variables appears multicollinearity which is harmful to further analysis (Hair et. al.,
1998; Lind et. al., 2002) cited by (Islami, et. al., 2018).
4.3. Descriptive Data of Respondent Firms
In Table 1, are presented data of contributors (firms’ representatives) concerning
descriptive data such as: gender, education, age, and their position in firm and their
activity in the enterprise.
Table 1. Descriptive characteristic of the sample
Descriptive variable
Gender
Male
Count (percentage) n= 97
61
(56.4%)
Descriptive variable
Age
21-26 years
Count (percentage) n= 97
11
(11.3%)
Female
Education
36
(43.6%)
27-31 years
32-36 years
16
16
(16.5%)
(16.5%)
Intermediate
27
(27.8%)
37-41 years
18
(18.6%)
Bachelors
Masters
PhD
Position in Firm
42
18
10
(43.2%)
(18.5%)
(10.5%)
42-46 years
44-51 years
Over 51
Work experience
12
20
4
(12.4%)
(20.6%)
(4.1%)
Owner
34
(35.1%)
2 years
14
(14.4%)
Director
Manager
18
45
(18.5%)
(46.4%)
3-5 years
6-10 years
11-15 years
20
33
30
(20.6%)
(34.1%)
(30.9%)
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5. Empirical Findings
To show the factors affecting firm’s performance, we analyzed the industry
environment and created the variable “industry factors” from the average of eight
research questions (high number of competing firms, the decline in demand for the
products of industry, low obstacles in market entry, the possibility of consumers to
change market with ease, power of suppliers, power of buyers, the threat of new
products, the threat of new entrants); and internal environment that we created the
variable “internal factors” as the average of five research questions (the need to
improve the organizational performance, the need to cut costs, a need to improve the
quality of product /service, the need to manage human resources, the need to use
technology); while the variable “performance of the enterprises” is the mean of six
study questions, so as to measure the success of the company after the organizational
change (increasing profits, revenue growth, market share, return of investment
(ROI), cost reduction, quality improvement).
5.1. Descriptive Statistics
Descriptive data are presented in table 2, where are presented min., max., mean., and
std. deviation, for all independent variables and dependent variable.
Table 2. Descriptive statistics of the study variables (n = 97)
Study variables
Industry factors
Internal factors
Firm’s performace
Minimum
1
2
2
Maximum
5
5
5
Mean
3.34
3.96
4.01
Std. deviation
0.809
0.711
0.703
A “Cronbach’s alpha” test was used to evaluate the reliability of the measures as
suggested by Nunnally (1978) cited by (Bontis et. al., 2000). Cronbach’s alpha can
be considered an adequate index of the inter-item consistency reliability of
independent and dependent variables (Sekaran, 1992) cited by (Bontis et. al., 2000).
Nunnally (1978) suggests that constructs have reliability values of 0.7 or greater
cited by (Islami, X., et. al., 2018). The reliabilities for each of the four constructs
were acceptable as the Cronbach alpha values for each were significantly greater
than the prescribed 0.7 threshold. See table 3. All variables are within value
reliability (>0.7).
Table 3. Statistical Highlights
Industry Factors
Internal factors
- Cronbach’s Alpha Test for Reliability
0.709
0.793
Remaining Items with Loading Values > 0.7
Rivalry among
0.711
Physical resources
competitors
The power of buyers
0.765
Human resources
Power of suppliers
0.776
Org. resources
The threat of new
0.701
products
Firm’s Performance
0.880
0.748
0.795
0.727
Increasing profit
Increasing incomes
Increasing of the market
Returning of investment
0.857
0.863
0.885
0.775
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The threat of new
entrants
0.783
Lowering costs
0.895
Improving quality
0.879
In order to analyze data and to test hypotheses it is used the correlation and regression
analysis. To complete the regression and correlation analysis IMB SPSS statistical
software is used. Despite, regression analysis and correlation matrix, the descriptive
data have been presented. Empirical results are going to be presented below.
5.2. Correlation Analysis
In table 4, is presented the correlation matrix for independent variable that are taken
as prediction in finding (defining) dependent variable “firm’s performance”, so as to
measure the scale of relation in between independent variables in this testing. It is
presented the connection in between industry factors, internal factors, and firm’s
performance. According to results presented on the table it is shown that the relation
in between independent variable is within the allowed borders (+,- 0.7) (Hair et. al.,
1998).
Table 4. Correlation Matrix (n = 97)
Variables
Industry
factors
Internal
Factors
Firm’s
Performace
Correlations
Pearson
Correlation
Sig. (2-tailed)
Pearson
Correlation
Sig. (2-tailed)
Pearson
Correlation
Sig. (2-tailed)
Industry
Factors
Internal
Factors
Firm’s Performace
0.538*
0.097
0.437***
0.000
0.538*
0.097
1
0.601**
0.032
0.437***
0.000
0.601**
0.032
1
1
***. Correlation is significant at the 0.01 level (2-tailed)
**. Correlation is significant at the 0.05 level (2-tailed)
*. Correlation is significant at the 0.10 level (2-tailed)
5.3. Regression Analysis
So as to evaluate the impact of independent variables in dependent variable “firm’s
performance” multiple we used the regression analysis. Results from regression
analysis are presented in table 5. In accordance with regression analysis independent
variables that get in analysis explain 71.8% of dependent variable “firm’s
performance”. F critique for the degree of freedom (3, 94) is 2.70 whereas F real is
6.625 (sig. 0.000) which means that the model is statistically significant with the
importance scale α= 0.05, because (0.000<0.5). Independent variable “industry
factors” is positively connected with dependent variable “firm’s performance” by
predicting it for 32.4% (b=.342 & p=.002). Furthermore, independent variable
“internal factors” has positive relationship with dependent variable “firm’s
performance” by forecasting it for 41.1% (b=.518 & p=.011). Whether it is analyzed
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closely table 5, may be resulted that independent variable “internal factors” has a
higher impact than other independent variable “industry factors” in firm
performance.
Table 5. Regression analysis of dependent variable “Firm’s performance”, n=97
Model
(constant)
Industry
Factors
Internal Factors
R2
.732
ΔR²
718
β
b
S.E
F
6.625
t
P
.453
.716
.420
.049
.324
.342
.122
2.173
.002
.411
.518
.174
2.364
.011
Note: β=standardized coefficients, b=Un-standardized Coefficients, S.E=standard error of
variables, t=t-statistic, p=significance level. R2= square, ΔR2=adjusted R square.
Firm’s performance = α + b1 Industry factors + b2 Internal Factors + εi , or
Firm’s performance = 0.453 + 0.342 * (Industry Factors) + 0. 518 * (Internal
Factors) + εi
(1)
6. Discussion and Conclusions
First hypothesis: according to the statistical test results for individual coefficient
control we get the result (t1 = 2.173 and p = 0.002) individual coefficients show that
independent variable “Industry factors” have a significant contribution in this model.
As seen by multiple regression equation, as well as without standardized β
coefficients, industry factors affecting firm’s performance. In this way we can say
that the hypothesis H1: accepted by showing that Industry factors has a positive
relationship and is statistically significant with firm’s performance (H 1↑).
Second hypothesis: according to the statistical test results for individual coefficient
control we get the result (t1 = 2.364 and p = 0.011) individual coefficients show that
independent variable “Internal factors” have a significant contribution in this model.
As seen by multiple regression equation, as well as without standardized β
coefficients, industry factors affecting firm’s performance. In this way we can say
that the hypothesis H2: accepted by showing that Internal factors has a positive
relationship and is important statistically with firm’s performance (H 2↑).
Third hypothesis: The two coefficients from the regression analysis have shown
positive values, with variable growth “industry factors” will increase the value of the
variable “firm’s performance” for (b1= 0.342), also with the increase of the variable
“internal factors” will increase the value of the variable “firm’s performance” for (b2
= 0.518). From these two variables the greatest impact has the variable “internal
factors” with non-standardized coefficient (b2 = 0.518), which is higher than the
value of the variable “industry factors” with no standardized coefficient (b 1 = 0.342).
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As seen by multiple regression equation, internal factors affecting more than industry
factors in firm’s performance. In this way we can say that the hypothesis H3: rejected
by showing that industry factors are not the greatest strength to incrase the firm’s
performance (H3↓).
Figure 2. Model of analysis solved
In this paper we analyze the effect of factors industrial and internal to the firm’s
performance. Results have shown that the industrial environment and internal
environment are related positively with firm’s performance. Internal factors as (the
need to improve the performance of the organization, the need to cut costs, a need to
improve the quality of product/service, the need to manage human resources, the
need to use technology) that are grouped in three main factors (physical resources,
human resources, and organizational resources) have affected more than the industry
factors in increasing the firm’s performance. Firms should invest more in R&D
activities and agreements for technology and know-how with other firms to improve
their technological capacity (Bouazza et. al., 2015).
In our research, the firm’s performance as a result of the industrial environment (high
number of competing firms, the decline of demand for industry products, low
barriers to entry in the market, the opportunity of consumers to switch brands with
ease, the power of suppliers, the power of buyers, the threat of new products, the
threat of new entrants) was less influential in the success of the enterprise increasing
performance of the firms.
In general the evaluation of participants has been high. It is known that the higher
the evaluation is, the more important are the participants in this study. Assessment
of the industry factors results with an average (A = 3.34 and SD = 0.809), while the
internal factors (A = 3.96 and SD = 0.711). This indicates that the two variables are
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important for firm’s performance. Whether firms are able to effectively adapt their
internal resources to the industry, the success of the business can be increased. The
analyzed internal factors aim to improve the image of the firm in the of client’s eyes
in relation to the competing firms. Results of this study are supported and by (Islami
et. al., 2015), that on their research have found that internal factors improve business
performance more than external factors.
According to this study, the entrepreneur should be more careful with internal factors
because results from this research tell us that improvement internal factors increased
more firm’s performance than others factors that are present in the industrial
environment. So, this study makes a significant contribution to the scientific and
academic value, for linking the industry factors and internal factors with firm’s
performance in Kosovo, in the region and beyond.
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