Abstract of The impacts of Risk
management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
Purpose – The purpose of this
project is to investigate the impact of risk management, as a tool of internal
control, on higher education institutions performance in the UK specifically
business and engineering schools.
Design/methodology/approach – The data in this research were collected through a well-defined
questionnaire. The Descriptive and correlation research method, along with
questionnaire survey was conducted.
Findings
– As compared to the corporate sector, risk management is still in the initial
stages of the formalization for the higher education institutions. The research
findings indicate that in business schools, the rent seeking by the
entrepreneurs does not even encourage the risk management by the educational
institutes.
Practical
implications- For the accreditation
agencies and the regulators, the main areas to take into consideration include
as a part the risk management. There are no evidences that can prove for the
immense consideration of the risk management at the educational institutes.
This research work will provide the basis for the risk management strategies of
the educational institutes.
Originality/value
– For the business schools, this research work is providing with the building
blocks for analysing the risk management.
Keywords: Risk Management,
Internal Control, Performance, Higher Education, Business School, Engineering
School.
Paper
type: Research paper
1. Introduction of The impacts of
Risk management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
Risk
management is the most crucial managerial responsibility, which is aimed to
identify the possible events that may affect the future of an organization. The
executive management of an organization and workers both participate in risk
management. Risk management is a significant process in High Schools. Effective
risk management is crucial for the success of an organization including high
schools. Risk management provides qualitative information about an organization,
which is crucial for strategic decision making (Verdina, Kašėtienė, Liela,
2010). In 2003, The National Association of College and University Business
Officers (NACUBO) highlighted the importance of risk management in higher
education. The contents of that report were primarily focused on improving the
risk management processes in high schools. It has become obligatory for the universities
to evaluate and assess their risk management systems and use audits to analyse
the efficacy of their control (Arif, 2014).
Risk
management is a dynamic process that takes place throughout the life of a
project. A typical risk management process comprises of four main stages. The
first stage of a risk management process is risk identification. This phase is intended
to recognize the possible future risks. The second stage is a risk assessment
in which possible harms, associated with identified risks, are assessed. The
third stage is response planning, in which strategic planning to respond to
those risks is carried out. The final stage is reviewing in which active
monitoring of the risk management process is carried out (Wysocki, 2004). The
process of risk management is primarily focused on the identification and
assessment of risks and planning to effectively manage those risks. The success
of every project depends primarily on the in time identification of risks and
successful management of those risks. Poorly managed project risks may have
negative implications for the achievement of project objectives (Bhimani., 2009).
Risk
management is important for every operation and process of an organization, as
it increases the success rates of those operations. The success of an
organization significantly depends on rational decision making, while risk
management facilitates such decision making. This paper is created to increase
the awareness of risk management as a tool of internal control on higher
education institutions' performance by considering a case from UK business and
Engineering schools. Corporate governance and stakeholder of educational
organizations play an important role in its management practices and financial
situations. The past decades had been a period of technology advancement and
industrial reform; many business industries were upgraded to new approaches.
Educational organizations have also gone through a progressive reform in this
period and evolved as entrepreneurial organizations. Educational organizations
are now competing on global platforms. Schools are working to offer multiple
degree programs, and various delivery methods for education in order to
maximize their profits. The entrepreneurialism is increasing in educational
organizations, and many factors count for this increase. This entrepreneurial
setting, in educational organizations, is transmuting them into risk-taking
organization (Hommel, 2016).
The
financial funding of higher education organizations has become extremely
volatile and sensitive to instabilities with regard to the school’s
competitiveness. The fluctuation in the
institute’s competitiveness could be a result of a change in its ranking
position or any demographic change. Moreover, the institute’s competitiveness
is also affected by the policies and regulations laid by the government. In
such a dynamic environment, risk management becomes inevitable for schools or
any educational organization. In such cases “Risk” is measured in terms of
“Returns.” The theme of this paper revolves around the extent to which business
and engineering schools have established effective risk management. Also, it is
working as a tool of internal control of their performance (Kirby, 2004).
Internal
control is simply denoted to a system of check and balance. Within an
organization, internal control is integrated with risk management. The term
internal control can be defined in different ways. It is a process that is
affected by corporate governance of an organization. Internal control is also
linked with the provision of assurance towards the achievement of goals and
objectives. Also, it helps to maintain the efficacy of operations in an
organization. Moreover, internal control is also involved in financial
reporting and making acquiescence with government policies and regulations (Hommel, 2016).
1.1 Motivation & The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Higher
education institutes are dealing with intensive challenges from government
agencies and from the public domain. It is indirectly emphasizing the need for
risk management. The appropriate approach to risk management lacks in higher
education institutions. Higher education institutes also required adequate
planning for enterprise risk management. There is no or very limited research
data available in this context. Therefore, this study is aimed to investigate
the impact of risk management as a tool of internal control on higher education
institutions' performance in the UK specifically business and engineering
schools. This paper presents an analysis for the results of a survey of
business and engineering schools in the UK. The descriptive research design was
focused on inquiring about the risks culture in business and engineering
schools. Also, it is determined that how these schools identify, evaluate and
manage those risks. We applied correlative analysis and model regression by
using control variables. The results were explained with the help of
descriptive statistics and discussed in detail.
1.2 Contribution of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
This
study contributes to the literature in several ways. First of all, it
represents the extent of the risk management system and its implementation in
business and engineering schools.
The
practical implications of this study include implementation of management
concepts from theory to increase the effectiveness of risk management as a tool
for internal control in higher education institutes. This study provides an
important insight into risk management and internal control as a part of
corporate governance of higher education institutes. This study also offers
adequate information about technical basis of risk managing and internal
control. The findings of this study also provide important insight into the
growing fraud and risk incidents in educational organizations. This study also
develops an alternative view of the role of risk management as a tool for
internal control in educational organizations. This study argues that
entrepreneurialism is the primary reason for increased risk-taking and fraud
incidents in educational institutes, which seriously affects their performance.
This study reflects insight into the characteristics of business and
engineering schools but the findings of this study can be generalized to all
higher education institutes.
Academic
contribution: There is no prior study present on risk management as a tool for
internal control in Higher Education institutes in UK. Therefore, this study
contributes to filling this research gap and findings of this study will
encourage researchers in other regions to carry out research on this topic. The
higher education institutes are considered as primary priorities for country’s
development. The findings of this research help their management to increase
their operational effectiveness along with financial efficiency through
application of risk management as a tool for internal control.
The
next section provides a theoretical discussion to support the research
argument. Research methodology, data collection and research techniques are
presented in section 3. Empirical findings are presented in sections 4. And
section 5 presents a conclusion on all the discussions.
2.Theoretical Foundations of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
This section is aimed to provide a review of
literature about risk management and internal control in context to academic
organizations, specifically business schools and engineering schools. This
section establishes the literature evidence related to the research topic. The
primary objective of this section is to develop a clear understanding of the
research area of this study. Besides, it represents the literature findings on
the impact of risk management on internal control.
2.1 Risk management of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Higher
educational institutes such as business and engineering schools traditionally
have a non-profit operational structure. The fundamental activities of such
institutes are support core operations of program or degree with the main
objective of knowledge generation and its effective transfer. Business and
engineering schools have complex organizational settings. The typical
management approach only focuses on command, control, and arrangement. McDaniel
(2007) argued that higher education organizations have dual control system
based on management and faculty control systems. They further discussed the
potential management issues of higher educational institutes, including the absence
of computable financial performance system, extensive and multidimensional
institutional mission, additional funding that weakens the management of
faculty.
Hommel (2016) offered a different viewpoint by stating
that business and engineering schools operate in a suggestively different form
of business organization, which necessitated the need for new change and
approaches for better risk management and internal control. They continue to
discuss the circumstantial factors that cause a catastrophe in analysis and
strategic planning of higher education institutes and highlighted poor risk
assessment is most prominent among other factors. The failure to manage risks
effectively can lead to enormous challenges for an organization to achieve its
primary objectives. McShane (2011) supported this discussion that risk
management has become a crucial function of any business organization for its
competitiveness and survival.
Abraham
(2013) further added to this context about the possible risks for higher
education organizations and identified that financial instability, economic
environment, technology integration, student registration, retaining staff,
hiring new talent, maintaining ranking, increasing competitiveness, and infrastructural
changes could be potential risks for them. Higher education institutes require
an effective risk management system. According to Hommel (2016), changing
business environment emphasizing the need for better internal control and risk
management for the success of any organization. The internal control system is
considered as an integral component of the risk management system.
PWC
(2013) studied the fraud risks in higher education organizations and discussed
the findings of the International economic crime survey. The findings revealed
that more than 50% of the higher education organizations have faced frauds in
their institutes. Almost 34 per cent of those institutes were successful to
identify such frauds while 38 per cent of those institutes did not perform
risks evaluation and risk assessment during the year. The report further
discussed about the identified frauds & risks in higher education
institutes as follows:
·
Segregation of duties
·
Academic consultancy
·
Mandate Fraud
·
Examination Frauds
·
Corruption and Bribery
·
Philanthropic Income
·
Purchase card fraud
TEQSA (2014) discussed that adoption of an entrepreneurial model,
requires higher education schools to finance their organizations with adequate
cash flow. The performance of educational institutes is affected by several
factors which may be interlinked with each other. Suomi (2013) emphasized the
need for a formal risk management system to enhance the internal control of
education institutes. However, empirical findings on formal risk managements
system, specifically on business and engineering schools are very sparse.
Denneen (2012) identified risk management in higher education institutes as an
emerging field. Many educational institutes have faced frauds and intensifying
financial challenges due to lack of inefficient risk management system. Brinkmann (2013) studied the important characteristics of an
intelligent risk management system and suggested following factors,
·
control system to restricts the
overburden from management
·
Increased tolerance levels for
an organization
·
No haziness in risk management
process
·
Internal control focused on
developing essential knowledge.
2.2 Internal Control of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Holopainen et
al. (2006) provided a different scenario and studied the concept of internal
control in context to the success of an organization and described internal
control as a function than allow management to develop a more accurate picture
of financial capabilities of an organization. Furthermore, internal control is
a link between people and systems within an organization. Brinkmann (2013)
further extended this discussion by suggesting that risk management is a
mandatory activity of internal control of an organization. Internal Audit and
Internal Control both are important practices under Good Corporate Governance
practice.
Limitations of Internal Control
of The impacts of Risk management as a tool of internal control on higher
education institutions performance, A case from UK business and Engineering
schools.
Hommel (2016) studied the function of internal
control and emphasized financial constraints, human factors, and absence of
system flexibility as limiting factors for internal control success. The
achievement of operational and strategic objectives of an organization is only
possible with an efficient system of risk assessment. Therefore, risk
management can be an effective tool for internal control and enhancing the
performance of an organization more specifically for business and engineering
schools. Business and engineering school’s decision making is related to their
market-based competitiveness. It requires an efficient risk management system
for sustainability. In sum, it is postulated that the risk management system
can serve as a tool of internal control on higher education institutions performance.
2.3 Risk Appetite Tolerance of
The impacts of Risk management as a tool of internal control on higher
education institutions performance, A case from UK business and Engineering
schools.
According to Berlinger ( 2015), for any
kind of risk management approach, the risk appetite is referred as an essential
key. The requirements meetings are imposed according to the standards of
corportae governance. The stakeholders are increasingly
asking from the organization related to the risk management approaches. They are concerned about the terms and
techniques of risk appetite tolerance. It also includes the analyst, public and
investors in order to express the clear concepts of the extent of
their willingness to take risk for attaining their strategic objectives. In this particular area the institutes of risk management are playing
a key role in managing the risk effectively. In this study the risk appetite
tolerance is the terms or approach that organizations and individuals have to
bear for the goodwill of the organizations. The educational institutes are keen
to manage the risk for their organization and the organization wants to maintain
risk appetite tolerance for their institutes (Berlinger, 2015).
2.4 Foreign Campus of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
In this study,
the variables of the foreign campus are taken as the independent variables because
it represents its particular relationship with the performance of the institutes.
The engineering and business schools of the United Kingdom can perform
ineffective and well manners, in case the branches and campuses of these
institutes will be launched around the globe. The universities are opening
their campuses across the borders in order to enhance their performance. There is
a number of students who are seeking to study in a well-known organization, but
they are unable to take admission to those schools due to the barriers of entry
in the country. By considering all of these aspects the foreign campus is taken
as the effective variables for the performance of the engineering and business
schools of the UK.
2.5 Conceptual framework of The impacts of Risk management as a tool
of internal control on higher education institutions performance, A case from
UK business and Engineering schools.
2.6 Hypothesis of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
H1: A
positive significant relationship exists between internal control and higher
education institutions' performances.
H2:
Risk management practices tend to generate a positive significant impact on
higher education institutions' performance.
H3:
Foreign campus has a positive significant relationship with performance of
higher education institutions
H4: Risk
appetite has positive significant relationship with performance of higher
education institutions.
3 . Study Design of The impacts of
Risk management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
In the methodology
section, information covers areas such as study design as well as material and
technique employed by the researchers to conduct this research work. The methodology
also consists of information about research study exploring the concepts about
the techniques used to collect research data, research methods, samples, and
sampling techniques. The instruments of
the study are explained in the chapter that is required to ensure data
collection from the selected research samples. The methodology section is also consisting
of details about the validity and reliability of research data.
Secondary
and primary data collection techniques are used in this research work to
collect research data. Pre-existing data which is used for another project is
referred as the secondary data obtaining source. However, the most appropriate
source to obtain relevant research data is reviews of latest literature to find
out useful information from secondary sources. It leads towards the previous
data and explores the views of other authors on particular topics. The primary
source data collection leads to the self-generation of the data. It includes
the survey and questionnaire that is used as an essential key to assemble and
obtain research data from the selected research samples.
Both
research methods quantitative research and qualitative method of research
studies are used in the implementation of this research plan to explore the most
relevant data from research study. The qualitative research methods are
utilized to exploring the concepts of the theory of the study related to risk
management, internal control, and their effects educational institute’s
performance. (Taylor, 2015). The quantitative
research methods are used to exploring generating the numerical data, and under
this method the data is also analysed by using the various statically tools in
order to measure the impacts of the variables on each other. The objective
measurements are emphasized under the Quantitative methods (McCusker, 2015).
In order
to test the study predictions, the simple random sampling method is used in
this study. The data is collected from the 150 professionals of the engineering
and business schools of the United Kingdom.
In this case ten schools are selected as the population, and the
professionals of these schools are sample who will perform as respondents in
order top provides the information related to the performance of the
educational sectors due to the risk management and internal controls. These
engineering and business schools are selected by searching the website of
“ceebd.co.uk.” Then every third university is selected as sample in this
study. Meanwhile few of the universities
are selected randomly at where I have approach to meet with the directors or
head of the departments in order to fulfil the criteria of the study. Few of
the universities are listed below which are selected from the (Ceebd.co.uk,
2019)
·
American InterContinental
University – London
·
Cranfield University, School of
Management
·
University Leeds, Leeds
University Business School
·
University of London
·
Loughborough University, Water,
Engineering and Development Centre (WEDC
·
Mobility Oil & Gas
·
The University of Reading,
School of Systems Engineering
The remaining
three are those universities that are under my approach and in which I have
access to collect the data.
3. Instruments of the Study of
The impacts of Risk management as a tool of internal control on higher
education institutions performance, A case from UK business and Engineering
schools.
The standard elements related to the
process of corporate risk management can be easily covered by the survey design;
the survey design and questionnaire are administrated to measure and collect
the views of the respondents. The governance of risk management activities was
asked from the participants by using this questionnaire as instrument for
collecting the data in this study. The participants were asked to evaluate
overall effect generated by the internal management control system and risk
mitigation system of managers on outcomes and performance of the educational
institutes. A five-level Likert scale is used in the research work to collect
responses from respondents about internal control impact on organizational
performance. On this Likert scale, levels are ranging as strongly agree, agree,
neutral, disagree, and strongly disagree. This questionnaire contains two parts.
The first part explains the information about respondents, and demographical
profiling of the research samples is also discussed in brief detail in first
(introduction) section of designed questionnaire. Another section of the
questionnaire narrates about the construct that are used in this study.
3.2 Variables of The impacts of
Risk management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
By
considering the study of Ulrich Hommel (2016) as the base papers few of the
variables are adopted in order to measure the impacts of the risk management as
internal control tools on the performance of the educational institutes. This
impact is of risk management is measured, particularly in the context of the
business and engineering schools of London.
There is
total of five variables that are examined in this study, in order to measure
the impacts of the variables. Performance of the educational institutes in the dependent
variable meanwhile other four risk management, internal control, Risk Appetite
Tolerance, and foreign campus are independent variables.
4. Results and Analysis of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Statistical
package for social sciences (SPSS) software is used for the purpose of
statistical data analysis. SPSS software is known as the most effective
software to analyse and interpret the research results generated by the
selected research variables. It provides good effects to measure the
relationship between the variables. It is good tool for generating tables and
graphs because it decreases all possible chances and likelihood of manipulation
and falsification made in the data outcomes. SPSS data analysis can also
present data validity and reliability for the research work to measure and show
that data has internal consistency or not?
4.1 Reliability analysis of The
impacts of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Constructs
|
Number
of Items
|
N
|
Cronbach's
Alpha
|
Internal
control
|
3
|
150
|
0.737
|
Risk
management
|
4
|
150
|
0.769
|
Foreign
Campus
|
3
|
150
|
0.577
|
Risk
Appetite Tolerance
|
4
|
150
|
0.742
|
Performance
of the higher education institutions
|
4
|
150
|
0.796
|
Interpretation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
Reliability and
validity of research data and results of statistical analysis. Additionally,
the use of tables regarding the internal consistency of data research can show
consistency of responses. The results generated from the measurement and
calculation of Cronbach's Alpha are used as indicator
towards the measurement of internal data consistency as it would be presented
to show data consistency regarding internal control. According to analysis, 0.737 is the value of Cronbach's Alpha testing. This value is greater than 0.7 which portrays the data is reliable
for internal control, and consistency occurs for this variable of the data (Tavakol, 2011). Seemed like that
the Cronbach's Alpha value for Risk
management, Foreign Campus, Risk Appetite Tolerance and Performance of the
higher education institutions is 0.769, 0.577, 0.742, 0.796, respectively. It
represents data is reliable for all variables except Foreign Campus because the
Cronbach's Alpha value for this is less than 0.7. It means data is
moderately reliable for this variable.
4.2 Descriptive statistics of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
The descriptive
statics are used to measure the numbers of the variables along with their
constructs. The number of items are also explained in this table.
Descriptive Statistics of The impacts of Risk
management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
|
|
N
|
Minimum
|
Maximum
|
Mean
|
Std. Deviation
|
ICC
|
148
|
1.67
|
4.67
|
3.5833
|
.91834
|
Risk management
|
141
|
1.75
|
4.75
|
3.6755
|
.77156
|
Foreign Campus
|
150
|
1.33
|
5.00
|
3.8156
|
.71266
|
Risk Appetite Tolerance
|
144
|
1.75
|
4.75
|
3.6493
|
.85604
|
Performance of the higher education
institutions
|
143
|
1.50
|
4.75
|
3.6871
|
.85501
|
Valid N (listwise)
|
139
|
|
|
|
|
The summary distribution table shows results
of central tendency measures, including mean or average value of responses.
While standard deviation and mean values of all research data (and variables)
are presented in the table. It
represents the mean value for all variables is greater than 3.5 which represents
most of the respondents are agreeing with the statements and questions. The
standard deviation value for all of the study variables is representing how
these values are deviate from its mean value.
4.3 Demographic profile of
respondents of The impacts of Risk management as a tool of internal control on
higher education institutions performance, A case from UK business and
Engineering schools.
Age
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
< 25
|
23
|
13.7
|
15.3
|
15.3
|
25-35
|
19
|
11.3
|
12.7
|
28.0
|
35-43
|
39
|
23.2
|
26.0
|
54.0
|
44-54
|
49
|
29.2
|
32.7
|
86.7
|
more than 55
|
20
|
11.9
|
13.3
|
100.0
|
Total
|
150
|
89.3
|
100.0
|
|
Missing
|
System
|
18
|
10.7
|
|
|
Total
|
168
|
100.0
|
|
|
Interpretation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
The
table of age is representing the percentages of the age of the respondents who
have participated in this research study.
The histograms are also illustrating the frequencies of the respondents
according to their ages. There are 32.7% of respondents who are falling in the
44-54 years’ age groups, and this is the highest frequency of the respondents.
It means most of the respondents are of 44-54 years old.
Gender
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
female
|
105
|
62.5
|
70.0
|
70.0
|
2
|
45
|
26.8
|
30.0
|
100.0
|
Total
|
150
|
89.3
|
100.0
|
|
Missing
|
System
|
18
|
10.7
|
|
|
Total
|
168
|
100.0
|
|
|
Interpretation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
In
the presented table of gender details, it is clearly presented that the female
participants in this research work are only 70% of total respondents. Females
had the duties of risk management. Reaming 30% is the male of the study.
Designation
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Directors
|
55
|
32.7
|
36.7
|
36.7
|
Head of departments
|
59
|
35.1
|
39.3
|
76.0
|
Senior professor
|
36
|
21.4
|
24.0
|
100.0
|
Total
|
150
|
89.3
|
100.0
|
|
Missing
|
System
|
18
|
10.7
|
|
|
Total
|
168
|
100.0
|
|
|
Interpretation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
The
table of the Designation is representing most of the respondents are the head
of departments. It shows 39% of the total respondents are the heads of the
departments who are female and above 44 years old.
Educational
Level
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Bachelor
|
18
|
10.7
|
12.0
|
12.0
|
Masters
|
15
|
8.9
|
10.0
|
22.0
|
PHD
|
96
|
57.1
|
64.0
|
86.0
|
Others
|
21
|
12.5
|
14.0
|
100.0
|
Total
|
150
|
89.3
|
100.0
|
|
Missing
|
System
|
18
|
10.7
|
|
|
Total
|
168
|
100.0
|
|
|
Interpretation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
The
table of the education level is representing most of the respondents are Ph.D.
There are 64% respondents who have PhD degree.
This study shows most of the respondents are female and having a Ph.D.
degree and performing the duties of the head of departments in the business and
engineering schools of United Kingdom. These majorities of the respondents are
more than 44 years’ age group. The above given histograms is also representing
most of the respondents have PhD degree.
4.4 Regression analysis of The
impacts of Risk management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
The impact
generated by the independent variables on dependent research variables is analysed
through the use of regression analysis. It also represents positive and
negative relationships of the variables. The results of the analysis portray
either the hypothesis is rejecting and accepting. By using the regression model
the hypothesis is tested. Furthermore, regression model is applied as depicted
in the study of the (Cornelius Kipkemboi
Lagat, 2016)
to generate results regarding the impact causes by internal risk management
practices on the overall outcomes and performances of educational institutes in the specified time
duration.
The adopted
regression model is represented in the below-given equation
y = α + β1X1 + β2X2 + β3X3 + β4X4 + έ
y=
performance of the educational institutes
α =
Constant Term β1, β2, β3, β4 = Beta Coefficients
X1=
Internal control system
X2= Risk
management
X3= Foreign
Campus
X4= Risk
Appetite Tolerance
Model
Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. The error of the Estimate
|
1
|
.990a
|
.979
|
.979
|
.12635
|
a. Predictors: (Constant),
RiskAppetiteTolerance, ForeignCampus, ICC, Riskmanagement
|
Coefficients
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
B
|
Std. Error
|
Beta
|
1
|
(Constant)
|
-.146
|
.060
|
|
-2.439
|
.016
|
ICC
|
.539
|
.027
|
.582
|
19.975
|
.000
|
Risk management
|
.444
|
.034
|
.397
|
13.138
|
.000
|
Foreign Campus
|
.074
|
.026
|
.063
|
2.824
|
.005
|
Risk Appetite Tolerance
|
.011
|
.029
|
.011
|
.362
|
.718
|
a. Dependent Variable: Performance of
the higher education institutions
|
Interpretation of The impacts of Risk
management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
The
table of the coefficients is representing the values for all variables is
positives. Results of coefficient measures conclude that internal control of
managerial staff has direct and strong relationship in positive direction
towards the outcomes and performance records of higher
education institutions. The significance value for internal control is 0.000.
It means there is positive significant relationship among
internal control and Performance of the selected
institutes of research study (higher education institutions) as depicted in the
study of (Fr. Ninik Yudianti,
2015).
The
H1 is accepted. The significance value for risk management is also 0.000, which
is less than 0.05. This value shows that H2 is accepted as indicated in the
study of (Fr. Ninik Yudianti,
2015).
The Coefficients values of the Foreign Campus and Risk Appetite Tolerance show
the positive relationship with Performance of the educational institutes
selected for this research study (higher education institutions) as shown in
the study of the (Ulrich Hommel, 2016). But the significant
value for both of these variables is greater than 0.05.
The
table of the model summary represents the effects of the internal control of
managerial staff (independent variable) on the performance outcomes of the higher
educational institute (dependent variable). As in the above-given table the
value of the Adjusted R Square is 0.979 which shows due to the 1% change in
independent variable, the Performance of the higher education institutions will
be changed with the percentage of 97%. It represents a direct relationship with
each. It means due to the effective internal control system, risk management,
and Risk Appetite Tolerance. The educational institutes can perform in better
way, with the improved risk management.
4.5 Correlation of The impacts
of Risk management as a tool of internal control on higher education
institutions performance, A case from UK business and Engineering schools.
The
table presented below shows the results of the correlation
test, and it also projects a functional relationship between the response and
predictors.
Correlations
|
|
ICC
|
Riskmanagement
|
ForeignCampus
|
RiskAppetiteTolerance
|
Performanceofthehighereducationinstitutions
|
ICC
|
Pearson Correlation
|
1
|
.862**
|
.797**
|
.874**
|
.964**
|
Sig. (2-tailed)
|
|
.000
|
.000
|
.000
|
.000
|
N
|
148
|
139
|
148
|
144
|
143
|
Riskmanagement
|
Pearson Correlation
|
.862**
|
1
|
.809**
|
.875**
|
.941**
|
Sig. (2-tailed)
|
.000
|
|
.000
|
.000
|
.000
|
N
|
139
|
141
|
141
|
139
|
139
|
ForeignCampus
|
Pearson Correlation
|
.797**
|
.809**
|
1
|
.756**
|
.839**
|
Sig. (2-tailed)
|
.000
|
.000
|
|
.000
|
.000
|
N
|
148
|
141
|
150
|
144
|
143
|
RiskAppetiteTolerance
|
Pearson Correlation
|
.874**
|
.875**
|
.756**
|
1
|
.892**
|
Sig. (2-tailed)
|
.000
|
.000
|
.000
|
|
.000
|
N
|
144
|
139
|
144
|
144
|
139
|
Performanceofthehighereducationinstitutions
|
Pearson Correlation
|
.964**
|
.941**
|
.839**
|
.892**
|
1
|
Sig. (2-tailed)
|
.000
|
.000
|
.000
|
.000
|
|
N
|
143
|
139
|
143
|
139
|
143
|
**. Correlation is significant at the
0.01 level (2-tailed).
|
Interpretation of The impacts of Risk
management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
The
results of correlation statistical analysis project existence of a directional
relationship between selected research variables. Although, positive relationship is found in
the results of Pearson correlation applied on variables such as internal
control, Risk management, Foreign Campus, Risk Appetite Tolerance and
Performance of the higher education institutions. It means the engineering and business schools
of the United Kingdom can enhance their performance by managing risk effectively.
The campus of the organization will be launched internationally than it can be
beneficial for the performance of the business and engineering schools of the
United Kingdom.
5. Conclusion of The impacts of
Risk management as a tool of internal control on higher education institutions
performance, A case from UK business and Engineering schools.
The
current study is aimed at investigating the impact of risk management, as a tool of internal control, on higher
education institutions performance in the UK specifically business and
engineering schools. The data in this research were
collected through a well-defined questionnaire. The Descriptive and correlation
research method, along with questionnaire survey was conducted. For any
organization, risk management is the most crucial managerial responsibility. So
as is the risk management event for the High schools. It basically aims at
providing the organization with the opportunity to identify the possible events
that may affect the future of an organization.
The
higher management and the executive authorities need to take into consideration
these parameters at first priority. For the success of any organization,
effective risk management is desirable. This criterion basically serves as the
basis for the higher authorities to formulate the effective strategic decisions
regarding the risk identification as well as the mitigation for the organizational
work flow. The National Association of College and University Business Officers
(NACUBO) highlighted the importance of risk management in higher education in
2003. The contents of that report are primarily focused on improving the risk
management processes in high schools. It has become obligatory for universities
to evaluate and assess their risk management system and use audits to analyse
the efficacy of their control.
The
existing study contributes significantly to the literature by representing the
extent of the risk management system and its implementation in business and
engineering schools. The practical implications of this study include
implementation of management concepts from theory to increase the effectiveness
of risk management as a tool for internal control in higher education
institutes.
The
results show that there exists positive significant
relationship among internal control and Performance
of the selected institutes of research study (higher education institutions). Also, the Coefficients values of the Foreign Campus
and Risk Appetite Tolerance show the positive relationship with Performance of
the educational institutes selected for this research study (higher education
institutions). The
outcomes from the model summary represents the effects of the internal control
of managerial staff (independent variable) on the performance outcomes of the
higher educational institute (dependent variable).
The
correlational analysis for the study variables shows
the directional relationship between selected research variables. The
existence of positive relationship is confirmed in the results of Pearson
correlation (which is applied on variables) such as internal control, Risk
management, Foreign Campus, Risk Appetite Tolerance and Performance of the
higher education institutions. It is thus concluded that the engineering and
business schools of the United Kingdom can enhance their performance by
managing risk effectively as well as the campus of the organization will be
launched internationally than it can be beneficial for the performance of the
business and engineering schools of the United Kingdom. The more efficiently
the risks associated with the business processes are identified as well as
mitigated the more it will be easy for the business schools to excel in their
respective field. Also, it tends to provide the business schools with the
efficiency in the formulation of the organizational strategies.
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