Smart Business Characteristics as an Approach to Develop Business
Performance
YANAL M. KILANI
Faculty of Business, Isra University, JORDAN
Abstract: The current study aimed at examining the impact of smart business networks' characteristics on
organizational performance from the perspective of industrial sector's decision makers in Jordan. Variables of
(Adaptability, Agility, Innovation, Ability to meet requirements, and Robust Behavior) were adopted as the
main and most obvious characteristics of SBN. Quantitative approach was adopted and (112) general managers,
projects managers and operations managers responded to the questionnaire. Results of study indicated that
respondents within industrial sector in Jordan had very positive and supportive attitudes towards the idea of
SBN among organizations; they also seemed to have been a part of an SBN of an industrial nature and they
have experienced its positive impacts on their and their organizational performance. Results of study also
indicated that all hypotheses of study were accepted and characteristics of SBN were supportive in developing
organizational performance, among the most influential variables of study appeared to be the robust behavior
which seemed to have influences the long-term plans that are adopted by the organization through robustly
supporting every milestone adopted. Study recommended granting extra attention to IT infrastructure within
organizations in order to be able to cope with the concept of SBN and benefit from all its ramifications.
Key-Words: Smart Business Network, Business Modeling, Agile Business, Flexibility, Requirements, Business
Environment, Business Performance, Organizational Performance.
Received: May 15, 2021. Revised: April 5, 2022. Accepted: May 3, 2022. Published: May 26, 2022.
1 Introduction
There are many approaches and principles through
which technology is exploited in the service of the
business environment, and therefore these uses
ranged between automation and modern
electronic devices, and linking the organization
in the cloud in order to facilitate access to
information for working individuals until the
stage of automating decision-making processes
and what is produced about it [1]. Among the
recent developments that cannot be neglected is
the idea of the SBN, for which many administrators
and representatives of the community of scholars
met in the Netherlands in 2006 in order to present
the idea of the smart business network, which
opened new dimensions to the concept of business
networks [2]. And its environment by integrating
complexity theory, information systems and
theories of organizational change in order to
understand what organizations must adopt in terms
of line and strategies related to technology [3].
1.1 Problem Statement
In light of the international economic
transformations that adopt the single market, the
corporation lives in a changing and complex
environment dominated by uncertainty, imposing
on it many and great challenges that it has not
witnessed before. It must confront them quickly
and efficiently, to anticipate sudden changes in it,
and to secure its future at least in the short term,
especially Most of the markets are saturated with
goods and services whose life cycle decreases very
quickly, in addition to the observed slowdown in
global economic growth in some sectors, as well as
in demographic growth, which is increasing at a
steady pace [4].
Many scholars, administrators and decision-makers
tried to understand the fixed system of
organizations and individuals in order to succeed in
an interconnected world as a result of the presence
of technology, which led to the emergence of what
is known today as a business operating system
based on the idea that the organization must
separate the logic of its behavior from its actual
implementation [5].
As a result of the great technological development
in the business environment as according to [6]- it
is imperative that organizations operate and
manage flexible business processes across different
organizational domains that are dynamically linked
in ever-changing networks. This has led to the
formation of new management methods and tools
to be able to change operations on the go while
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ensuring satisfactory results in a dynamic array of
business networks.
Based on above argument, current study sought
to examine the influence of SBN among
organizations on its performance from the
perspective of general managers, projects
managers and operation managers within the
industrial sector in Jordan.
2 Literature Review
2.1 Smart Business Networks SBN
Mendling et al (2017) believed that the idea of
smart business is based on a network of
organizations that unite together in order to
coordinate their internal, commercial and
administrative operations in a technological manner
based on adaptive and agile behavior by relying on
advanced technological networks [1]. Through
smart business networks (SBN), organizations are
able to form effective results by structuring
business and its technology in a technological
manner, thus obtaining better performance within a
shorter time and less effort [7].
The principle of smart business as indicated [4] is
based on the idea of smart design for business
structuring in organizations, where internal
processes are structured through information
technology and thus technology is adopted as a
system that provides dynamic logistical and
technological support to ensure the creation of a
business organization connected to a specific
network and able to adopt Innovative businesses
with strong strategies to compete in changing
markets and renewable environmental conditions.
[5] indicated that most smart business projects are
based on enabling smart business networks through
the union of organizations and their joining the
business network in order to increase the value
provided to the customer based on the idea of
developing performance in order to develop the
quality of service or product provided to
consumers.
In addition, the idea of Smart business has proven
its effectiveness in creating a lot of additional
relationships between organizations, which led to
the possibility of developing medium and small
organizations through its union in SBN with large
organizations and thus benefit from the expertise of
the latter [8].
By adopting the concept of SBN, organizations
become able to achieve a lot of competitiveness
and performance development, which is known -
within the scope of SBN - as the Swarm Effect,
which is characterized by the following according
to [9], [10] and [11]:
- The possibility of evaluating systems that
contain more complex steps compared to
others
- Maintaining the internal business hierarchy
in the organization
- Managing business interactions within the
organization well-coordinated and
efficiently
- Adaptation to changing markets and
conditions
- The ability to learn and take experiences
from other organizations
- The ability to learn from the results of
previous operations
2.2 Environment of SBN
The environment of SBN is based on cooperation
in governance, implementation and design, that is,
reaching a high organizational stage between the
organizations gathered on the network so that they
appear as Swarm, and through the swarm
organizations make different links that combine
many capabilities that are able to adapt to changes
continuing in the markets, environmental and
political conditions, in an agile and flexible manner
[12].
Jamasb et al (2018) indicated that the principle of
the SBN in the business environment is based on
three clear foundations [13]:
- Internal and external processes govern the success
of a SBN, not the products or services that the
organization provides
- Organizations in SBN that are trying to
consolidate their core operations into capabilities
that provide greater value to customers
- Creating new capabilities through the
development of internal processes, which will
positively affect the external operations and thus
the performance of the entire organization.
Based on this, it can be said - as indicated by Das et
al (2018) [14] - that the capacity of SBN represents
a set of internal processes that are organized in an
understandable, strategically based manner, and is
not limited to work only, beyond that to business
flows in the internal and external environments of
organizations in addition to behaviors Common to
these organizations that determine the nature of the
market environment in which they operate.
Consequently, Gavrilova et al (2013) [6] confirms
that SBN provides the required "intelligence" in
managing operations, depending on dynamism,
modeling, flexibility and agility, in addition to the
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ability to adhere to the requirements contained in
the organizational processes themselves.
2.3 Requirements of SBN
The ability of organizations to work within SBN is
based on the availability of a number of
requirements that would contribute to deepening
the concept of SBN among organizations, gaining
awareness of its importance, and appreciating its
impact on the organization’s operations and its
great role in increasing the level of quality and
quality of organizational performance [5].
From here [15] confirms that in order for the
organization to be able to adopt the concept of SBN
in its operations, it must have the dynamism that is
already in SBN, that is, it must be able to complete
internal and external complex, serial and
unconventional operations and even synchronized.
[15] added that it was indicated that the most
important requirements of the SBN is the
availability of administrative creativity in order to
facilitate decision-making processes based on clear
and understandable foundations and at the same
time that is in the interest of organizations and their
internal operations without any complications or
losses.
Among the requirements of the SBN environment,
as indicated by [4] is the ability to learn. Here, it
can be said that the ability to learn is the ability of
the organization to learn and take lessons from its
previous experiences and adapt its activities to the
strategic objectives that it has set in its plan. This
learning that is created in the organization
contributes significantly - as indicated [15] - to the
application of the changes required by the SBN
environment by adopting new modeling for
complex and complex processes within
organizations and this is called business modeling,
which is a major axis in the identification on what
must be adopted and what must be left, or what
must be achieved and what must be avoided,
therefore, the idea of learning has been referred to,
through which the organization guarantees the
possibility of being able to draw from its previous
experiences as a means of obtaining useful
reference parameters in its decision-making
processes.
From this standpoint, it can be said that SBN
specifications such as agility and flexibility,
creativity, accessibility to requirements, and strong
performance are the best way to achieve the
aforementioned modeling process, as the modeling
processes need a lot of support in order to create
new jobs Through monitoring, following up and
evaluating work patterns, and then choosing the
most appropriate and directing them towards the
goal [16].
3 Methods
Achieving the previously mentioned aim of study
was built on the bases of the quantitative approach.
It would have been a good choice to choose the
qualitative approach and retrieve qualitative data
from different sources, but due to COVID19 health
precautions it was implied that quantitative
approach is the best option. From that, a survey was
chosen to be the tool of study; the questionnaire
was built by researcher depending on previous
studies including [4]; [15] and [6]. The
questionnaire was presented on a group of
arbitrators who were specialized in the field, after
arbitration, the questionnaire consisted of (33)
statements distributed on variables of study
(characteristics of SBN as an independent variable,
and business performance as the dependent
variable). Questionnaire was built of liker 5 scale (5
strongly agree, 4 agree, 3 neutrals, 2 disagree, and 1
strongly disagree).
Population of study consisted of general managers,
operation managers and projects managers within
the industrial sector in Jordan through the fiscal
year 2019-2020. A convenient sample of (125)
individuals was chosen to represent population of
study. SPSS was utilized in order to screen, process
and analyze gather data. After application process;
researcher was able to retrieve (112) properly filled
questionnaires which gave an indication of (86%)
as statistically valid ratio.
Cronbach's Alpha was utilized in order to test
reliability of study tool and its suitability to be used
as a tool of study. Results indicated that the alpha =
0.931 was higher than the acceptable ratio of 0.60,
which indicated the stability of the study tool [18].
4 Model and Hypotheses
Based on the above argument, researcher managed
to create a model that represented the nature of
relationship between study variables as follows:
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Fig. 1: Study Model ([5]; [6]; [4])
From the above model, following set of hypotheses
were developed:
5 Main Hypothesis
H: SBN characteristics have an effect on
Developing Business Performance
Sub-Hypotheses
H1: Adaptability has an effect on Developing
Business Performance
H2: Agility has an effect on Developing Business
Performance
H3: Innovation has an effect on Developing
Business Performance
H4: Ability to meet requirements has an effect on
Developing Business Performance
H5: Robust Behavior has an effect on Developing
Business Performance
6 Analysis and Discussion
6.1 Analysis
Following section presented results of analysis
which was operated utilizing SPSS and it appeared
in two man sections, the first took into perspective
demographics of study sample while the later
section presented statements related to study
variables and individuals' response according to
Likert 5 scale:
6.2 Demographics
As it can be seen in the table below, respondents
who participated in study were mostly males
forming (78.6%) of the sample. In terms of
education and experience, it appeared that majority
of participants held (PhD) degree forming (54.5%)
of the sample with and experience of (9-11 years)
forming (44.6%) of the total sample. Study also
took the perspective of individuals as according to
their position which ranged between general
managers, project managers and operation
managers. Results indicated that majority who
responded to the questionnaire were operation
managers forming (58.9) of total sample.
Table 1. Sample characteristics according to demographics
Gender
f
Male
88
Female
24
Education
BA
20
MA
31
PhD
61
Position
GM
18
Characteristics of SBN
Adaptability
Agility
Innovation
Ability to meet requirements
Robust Behavior
Developed Business Performance
Independent Variables
Dependent Variables
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Operation Manager
66
Project Manager
28
Experience
3-5
19
6-8
34
9-11
50
+12
9
Total
112
Participants' attitudes to variables
Participants attitudes to variables of study was
calculated, it was seen that individuals help the
most positive attitude towards the variable of
(robust behavior) as one of SBN characteristics and
it scored a mean of (4.03) indicating that this
variable was the most positively answered one,
compared to t6he characteristic of (adaptability)
which scored a mean of (3.79) and appeared as the
least positively answered variable of the study in
general.
Table 2. Mean of study variables
Mean
Std. Deviation
Adaptability
3.7982
.77923
Agility
3.8714
.78079
Innovation
3.9232
.67770
Ability
3.8607
.59780
Robust Behavior
4.0393
.58746
Organizational Performance
3.9699
.66064
6.3 Questionnaire Analysis
Going deeper into analysis, each and every
statement in the questionnaire was analyzed in
order to identify it mean and standard deviation. As
it can be seen in table below, all statements of
questionnaire scored higher than mean of scale 3.00
which indicated that individuals had a high level of
awareness regarding the statements and were able
to answer them as according to their own
perspective.
It can be seen through the table that the highest
statements in scoring means appeared to be
(Without innovation SBN becomes meaningless)
which scored (4.27) and appeared to have the
highest attitude from respondents, compared to the
least positively answered statements articulated
(Through SBN all organizational needs are met in a
precise approach) and scored a mean of (3.46).
Generally speaking, table below showed that all
statements were understandable for participants and
they had full awareness of its meaning and content.
Table 3. Descriptive Statistics of Questionnaire
Mean
Std. Deviation
Characteristics of BI
Adaptability
Adaptability of SBN leads to better management
3.57
1.037
Adapting SBN to business environment helps in avoiding
gaps
3.74
1.279
If SBN is adaptable enough there would be a space for
innovation
3.86
.976
All organizations seek to have an adaptable SBN within
their environment
3.72
1.172
Adaptability leads to better business execution
4.10
.977
Agility
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Agility of SBN help in solving problems
3.60
1.127
If SBN were agile, business becomes agile as well
3.87
.978
Agility of business leads to better business execution
3.93
.927
Agile business means ability to take better decisions
4.03
.885
Agility through SBN means better response to risks
3.93
.927
Innovation
Innovation is a must when there is a need to develop
business
3.88
1.029
Without innovation SBN becomes meaningless
4.27
.958
Innovation supports decision taking skills which leads to
better performance
3.77
1.123
Better performance with SBM means better organizational
performance
3.92
1.050
Innovation gives decision makers ability to meet goals of
organization
3.78
1.137
Ability to meet requirements
Through SBN all organizational needs are met in a precise
approach
3.46
1.030
SBN help in giving the organization its needs and desires
according to the changing environment
3.79
.905
SBN leads to improved customer service and adaptability to
customer requirements
3.76
.913
SBN offer new functionality and satisfying diverse non-
functional requirements
4.12
.768
SBN offer all requirements to process management in a
satisfactory way
4.18
.774
Robust Behavior
Robust behavior in SBN is important when necessary set of
networked structures and networking processes are
established
3.89
.933
SBN support robust qualitative thinking
4.10
.827
An organization can depend on the robust behavior of SBN
4.18
.785
Decision making is always supported by SBN
3.97
.944
Robust behavior of smart business can help develop
internal performance of an organizing
4.05
.721
Developed Business Performance
The organization has all the technical capabilities to
develop its performance
3.70
.976
There are multiple resources to respond to clients and
suppliers
4.05
.868
The organization always meets requirements of strategies
thanks to its developed IT tools
4.11
.874
Internal processes are all automated
3.83
1.003
The organization depends a lot on smart business to take
decisions and they all meet requirements
4.04
.914
Organization makes sure that all goals are met
4.13
.892
Management innovation is a part of the internal processes
3.91
1.018
Organization rarely reaches a gap in managing performance
3.99
.822
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6.4 Hypothesis Testing
Hypotheses of study were examined using multiple
and linear regression, results appeared as followed:
H: SBN characteristics have an effect on Developing Business Performance
Table 4. Testing Main Hypothesis
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.726a
.527
.504
.46519
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
25.507
5
5.101
23.574
.000b
Residual
22.938
106
.216
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.530
.348
1.524
.131
Adaptability
-.052
.086
-.062
-.608
.545
Agility
.009
.106
.011
.087
.931
Innovation
-.034
.112
-.035
-.304
.762
Ability to meet
requirements
.189
.095
.171
1.990
.049
Robust Behavior
.745
.107
.662
6.981
.000
Multiple regression was employed to test for the
main hypothesis, it is found that Pearson
correlation coefficient of 0.726 reflected a high
correlation relationship, and we also noticed from
the value of determination coefficient of 0.527 that
independent variables explained 52.7% of the
variance in dependent variable. The calculated F
value of 23.574 was significant at 0.05 level which
reflected the significance of regression. This result
indicated that smart business characteristics have
an effect on developing business performance.
H1: Adaptability has an effect on Developing Business Performance
Table 5. Testing H1
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.392a
.154
.146
.61042
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
7.457
1
7.457
20.013
.000b
Residual
40.988
110
.373
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.706
.288
9.390
.000
Adaptability
.333
.074
.392
4.474
.000
Table 5 indicated results of the linear regression
test for 1st sub-hypothesis, it is found that Pearson
correlation coefficient of 0.392 reflected a medium
correlation relationship, and we also noticed from
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the value of determination coefficient of 0.154 that
independent variable explained 15.4 % of the
variance in dependent variable. The calculated F
value of 20.013 was significant at 0.05 level which
reflected significance of the regression. That means
adaptability has an effect on developing business
performance.
H2: Agility has an effect on Developing Business Performance
Table 6. Testing 2nd Sub-hypothesis
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.425a
.180
.173
.60081
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
8.738
1
8.738
24.206
.000b
Residual
39.707
110
.361
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.579
.288
8.941
.000
Agility
.359
.073
.425
4.920
.000
The above table 6 indicated the of linear regression
test for 2nd sub-hypothesis, it was found that
Pearson correlation coefficient of 0.425 reflected a
medium correlation relationship, and we also
noticed from the value of determination coefficient
of 0.18 that the independent variable explained 18
% of the variance in dependent variable. The
calculated F value of 20.206 was significant at 0.05
level, which reflected the significance of the
regression. That means agility has an effect on
developing business performance
H3: Innovation has an effect on Developing Business Performance
Table 7. Testing 3rd Sub-hypothesis
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.393a
.154
.147
.61032
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
7.471
1
7.471
20.057
.000b
Residual
40.974
110
.372
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.468
.340
7.253
.000
Innovation
.383
.085
.393
4.478
.000
Table 7 presented the results of the linear
regression test for the 3rd sub-hypothesis, it was
found that Pearson correlation coefficient of 0.393
reflected a medium correlation relationship, and we
also noticed from the value of determination
coefficient of 0.154 that independent variable
explained 15.4 % of variance in dependent variable.
The calculated F value of 20.057 was significant at
0.05 level, which reflected the significance of
regression. That meant innovation has an effect on
developing business performance
H4: Ability to meet requirements has an effect on Developing Business Performance
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Table 8. Testing 4th Sub-hypothesis
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.519a
.269
.262
.56745
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
13.025
1
13.025
40.448
.000b
Residual
35.421
110
.322
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.758
.352
4.994
.000
Ability to meet
requirements
.573
.090
.519
6.360
.000
In table 8 above, results of linear regression test for
4th sub- hypothesis found that Pearson correlation
coefficient of 0.519 reflected a medium correlation
relationship, and we also noticed from the value of
the determination coefficient of 0.269 that
independent variable explained 26.9 % of the
variance in dependent variable. The calculated F
value of 40.448 was significant at 0.05 level, which
reflected the significance of the regression. That
meant ability to meet requirements has an effect on
developing business performance
H5: Robust Behavior has an effect on Developing Business Performance
Table 9. Testing 5th Sub-hypothesis
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.712a
.506
.502
.46622
ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
24.536
1
24.536
112.880
.000b
Residual
23.910
110
.217
Total
48.445
111
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.737
.307
2.398
.018
Robust
.800
.075
.712
10.624
.000
Table 9 indicated results of the linear regression
test for the 5th sub-hypothesis, it was found that
Pearson correlation coefficient of 0.712 reflected a
high correlation relationship, and we also noticed
from the value of determination coefficient of
0.506 that independent variable explained 50.6 %
of the variance in dependent variable. The
calculated F value of 40.448 was significant at 0.05
level, which reflected the significance of the
regression. That means robust behavior has an
effect on developing business performance.
6.5 Discussion
The current study aimed at examining the impact of
smart business networks' characteristics on
organizational performance from the perspective of
industrial sector's decision makers in Jordan.
Variables of (Adaptability, Agility, Innovation,
Ability to meet requirements, and Robust Behavior)
were adopted as the main and most obvious
characteristics of SBN. Quantitative approach was
adopted and (112) general managers, projects
managers and operations managers responded to
the questionnaire.
Study was able to reach the following findings:
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- Respondents within industrial sector in
Jordan had very positive and supportive
attitudes towards the idea of SBN among
organizations; they also seemed to have
been a part of an SBN of an industrial
nature and they have experienced its
positive impacts on their and their
organizational performance.
- All hypotheses of study were accepted and
characteristics of SBN were supportive in
developing organizational performance.
- Among the most influential variables of
study appeared to be the robust behavior
which seemed to have influenced the long-
term plans that are adopted by the
organization through robustly supporting
every milestone adopted.
- Majority of individuals who responded to
questionnaire appeared to be operation
managers, which indicated a higher level of
knowledge among operation managers
compared to other levels within the
Jordanian industrial sector.
The study was able to accept the hypothesis that the
researcher assumed in his study that SBN
contributes significantly to developing the
performance of organizations by referring to the
characteristics of SBN that were adopted in the
study. The study also proved that the importance of
SBN in the business environment is evident in that
it is the tool that decision makers need in order to
manage the competitive environment in which they
work and the only means to face the rapid
technological development that the world is
witnessing. This was supported by the ability of
SBN to support organizations with the needed info
and tools (requirements) in order to achieve the
needed milestones of the moment; this was
supported by [15]; [4] and [16].
In addition, the results of the study and referring to
the responses of the respondents showed that SBN
has an effect in giving valuable information and
data that will clarify the features of the business
environment in the current situation and in the
future and thus evaluate the level of competition
and keep pace with globalization in a way that
supports individuals working in Achieving the
organization's goals and supports the decision
makers in making the right decisions at the right
time.
The idea of the SBN by bringing organizations
together in one common technological circle had a
great impact - according to the results of the study -
in creating an informational technical framework
that would help organizations manage and develop
their performance by developing the outputs of
their intangible assets such as knowledge, skills,
command. This was agreeing on by [6] and [17]
who argued that SBN can give the organization
agility, flexibility and adaptation and thus harmony
with the knowledge economy community.
6.6 Conclusion and Recommendations
SBN, through its specialization that it provides to
organizations, is the cornerstone of gathering
organizations in all its forms and opening up areas
of cooperation and learning for small and medium
organizations by supplying accurate and timely
information in a manner similar to the principle of
business memorization by relying on data analysis
and presenting it as valuable information.
Based on analysis, discussion and conclusion,
current study recommended:
- Design of a SBN is a complex issue and
some of these issues are being addressed
through ongoing SBN research
- SBN is a very promising structure as it
addresses the flexibility dimension of
organizational design, which is so critical
in many of the industry sectors.
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DOI: 10.37394/232015.2022.18.57
Yanal M. Kilani
E-ISSN: 2224-3496
594
Volume 18, 2022