This article discusses
the use of business intelligence for achieving the goals of the organizations.
It also discusses that system of the business intelligence use for supporting
the achievements of the organizational goals and its performances. It also is
used in the organization for providing the information of high quality and is
used for eventually better support related to the decision making in the
organization. The business intelligence is considered as the essential elements
for providing the benefits to the organizations.
This report critically
analyzed the articles in which the research is conducted for analyzing the effects
of the business intelligence on the performance and outcomes of the
organization by taking an example of the banking sectors. This report explores
the concepts to make the hypothesis in the research study. Some specific articles
are analyzed in this report by using a model in the
structural equation modelling of partial least squares. This is the method that’s used to assess the
relationship between the variables and effects of one variable to another
variable.
The reports
discuss the methods that are being used to conduct the data in this article. It
also explores the relation of the variables, along with the limitations of the
research study. An analysis is discussed in this report, along with tools that
are used in conducting such an analysis on the report. This report explains
about the factor analysis discriminant validity, internal consistency
reliability, effect size and R2.
The hypothesis of the research of Bank Performance and Systems of
Business Intelligence in Ghana, The Approach of Balanced Scorecard
The hypothesis of the research
study can be developed easily by considering the variables of the research
study because of the hypotheses generated by considering the variables as well
according to the dependent and independent variables. There is a total of five
variables that are used in this study from which, one is the independent and
reaming are the dependent variables. Few of these variables are playing a mediating
role among the relationship of two variables. The dependent variables are; growth
and learning of employees, different internal process, managements of customer,
and financial gains. The independent variables id the adoption of business
intelligent systems.
H1: There
is a positive significant relation among the adopting of the business
intelligence and financial performance by considering the mediating role of the
performance of customer, learning and growth, and performance of internal
process.
H2: A
significant positive relationship exists among the adopting of the business
intelligence and customer performance by considering the mediating role of the learning
and growth and internal process performance.
H3: There
is a positive significant relationship among the adopting of the business
intelligence and Internal Process by considering the mediating role of the customer
performances.
H4: A
significant positive relationship exists among the financial performances and
Internal Process by considering the mediating role of the customer
performances.
H5:
There is a positive significant relationship among the customer performances
and learning and growth of employees by considering the mediating role of the internal
process performances.
H6:
There is a positive significant relationship among financial performances and
learning and growth of employees by considering the mediating role of the
internal process and customer performances.
Sampling
technique, Sample size and location Bank Performance and Systems of Business
Intelligence in Ghana, The Approach of Balanced Scorecard
The simple random
sampling techniques are used in this study for collecting the data from the respondents
because they are good techniques to collect data that are related to the research
and are not bound for the collection of the data. The non-proportionate stratified
and purpose sampling techniques are used in this study for collecting the
data. This research, for the technique of sampling, will utilize a stratified
method of sampling, which is considered to be more convenient and easier to be
managed (Levy & Slideshow, 2013). The qualitative research approach is used by
using the survey methods, and self-administrated questionnaire is used in this study
for collecting the data from respondents.
There was a total of 240 questionnaires
distributed to the respondents from which only 142 are received back from the respondent,
but only 130 of these were filled the form. It means the sample size was 130 in
this research study. The data, in this study, will be taken from respondents who
would be included for few of these are officers of chief information
technology, IS, IT managers of organization, and business analysts and deputies
from the commercial banks. The respondents in this research’s sample size would
give an accurate response to the research questions since they come from the
related field within an organization.
Statistical
tools of Bank Performance and Systems of Business Intelligence in Ghana, The
Approach of Balanced Scorecard
The data is analyzed by
using the SPAS software that is good for generating a graph from the data. This tool is accurate for generating bar
charts, histograms, and various kinds of analysis can be plotted by using this
tool. This software reduces the chances of data manipulation. SPAS is
specifically used to present, describe and explore relationships and trends
within the quantitative data. In the form of tables and graphs, the data can be
presented by suing this software.
It is also used to generate
the main data types that can be involved in this research that can be ordinal, nominal,
interval, and ratios. By using the PLS-SEM or structural equation modeling of
partial least square, the inferential analysis is being conducted in this
study. This approach is used in this
study because it’s a good choice for analyzing the data of the small sample
size as 130 only. With the small sample size, PLS-SEM is one of the most
justified approaches. This approach is also accurate if the data distribution
isn’t normal.
Analysis
in the research of Bank Performance and Systems of Business Intelligence in
Ghana, The Approach of Balanced Scorecard
There is a total of nine
analyses done in this research from which few are the descriptive analysis and remaining
are the inferential analysis. These tests are listed below;
Reliability of construct
Normality test
Frequency distribution
table
Construct validity and
reliability
Discriminant validity
Hypothesis testing for
direct effects
Hypotheses’ testing for
mediation g (indirect effects)
Confidence interval bias-corrected
(indirect effects)
R2, R2 adjusted
f2 and Q2value
All of these tests are conducted in this research for
measuring the value of the communality, internal consistency or reliability,
effects size f2, discriminant validity, and R2.
Internal consistency or reliability
of Bank Performance and Systems of Business Intelligence in Ghana, The Approach
of Balanced Scorecard
In this research, the internal consistency of the data for
all variables is accurate because the values for all variables are greater than
0.7 and if the Chronbach’s alpha value for all variables is greater than 0.7 it
means internal consistency occurs in the data. The data can proceed for further
analysis.
Discriminant validity of Bank
Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
For factor loading, the principal component analysis is
conducted in this research it shows the discriminant validity occurs in this
research because the Eigenvalues are almost round about 1 but not one.
Effects size f2 of Bank Performance
and Systems of Business Intelligence in Ghana, The Approach of Balanced
Scorecard
F2 is used for representing the effect size, and
it is also utilized to measure the indirect variables and its effects for
direct constructs, and it is also used to identify the significance individual
latent variables contribution for explaining the variance of the direct
variables. In the given analysis, the value of learn and growth
is 0.523, which shows independent variables have a large effect on it. The values of the
internal business process and customer are 01.00 and 0.093, which shows that independent
variable has medium effects on it. The
values of the financial performance are 0.006, which shows the independent variable
has insignificance effects on it.
R2
The value of the R2 shows
the effects of the dependent variable on the independent variable. In the given
analysis, the value of customer performance is 0.601; it means it has 60%
effect on the independent variables. The value for remaining variables are
0.68, 0.718 and 0.343, respectively; it means it has 68%, 71%, and 34% effects
or variance from other variables.
Limitations
in the research of Bank Performance and Systems of Business Intelligence in
Ghana, The Approach of Balanced Scorecard
The research study is
focusing on the empirical identifications of business intelligence’s
post-adoption impacts. There are impacts of business intelligence and its
adoption in the Ghanaian banks for enhancing the performance of the
organization. The quantitative research approach is used in this study by using
the primary source of data.
Findings
of research of Bank Performance and Systems of Business Intelligence in Ghana,
The Approach of Balanced Scorecard
It has been found out in
this research study that the adoption of the system of business intelligence
has a significant positive relation with organizational performance or performance
of the banks. It also has a significant direct
relationship with the financial performance of the organization by which the
overall performance of the organization will be increased. But few of the
constructs of the organizational performance are not affecting directly, such
as the effect size of finance performance is 0.006, which is a weak effect of the
independent variable on the dependent variable. Therefore, by using the
mediation effects of the various variables such as; customer constructs, growth
and learning, finance constructs and internal process is a significant relation
with the adoption of the system of business intelligence. The use of the business
intelligence system is encouraged by the mangers of the banks and various other
organization for running all operation of the organization in effective
manners.
Recommendations
of the study of Bank Performance and Systems of Business Intelligence in Ghana,
The Approach of Balanced Scorecard
It is recommended that
managers of the organization must adopt the business intelligence system for
performing all tasks of the organization in smooth ways. The organization can
perform in effective manners by adopting the business intelligence system.
Appendix
Screen
shorts of Variable view of Bank Performance and Systems of Business
Intelligence in Ghana, The Approach of Balanced Scorecard
Screen shorts of Data
view of Bank Performance and Systems of Business Intelligence in Ghana, The
Approach of Balanced Scorecard
Solutions
Output
Reliability of Bank
Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
Case Processing
Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.919
|
5
|
correlations
|
|
BISystemsAdoption
|
LearningAndGrow
|
InternalProcess
|
Customer
|
Finance
|
BISystemsAdoption
|
Pearson Correlation
|
1
|
1.000**
|
.077
|
.090
|
.091
|
Sig. (2-tailed)
|
|
.000
|
.382
|
.307
|
.306
|
N
|
130
|
130
|
130
|
130
|
130
|
LearningAndGrow
|
Pearson Correlation
|
1.000**
|
1
|
.077
|
.090
|
.091
|
Sig. (2-tailed)
|
.000
|
|
.382
|
.307
|
.306
|
N
|
130
|
130
|
130
|
130
|
130
|
InternalProcess
|
Pearson Correlation
|
.077
|
.077
|
1
|
.943**
|
.936**
|
Sig. (2-tailed)
|
.382
|
.382
|
|
.000
|
.000
|
N
|
130
|
130
|
130
|
130
|
130
|
Customer
|
Pearson Correlation
|
.090
|
.090
|
.943**
|
1
|
.934**
|
Sig. (2-tailed)
|
.307
|
.307
|
.000
|
|
.000
|
N
|
130
|
130
|
130
|
130
|
130
|
Finance
|
Pearson Correlation
|
.091
|
.091
|
.936**
|
.934**
|
1
|
Sig. (2-tailed)
|
.306
|
.306
|
.000
|
.000
|
|
N
|
130
|
130
|
130
|
130
|
130
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
RELIABILITY
/VARIABLES=LG1 LG2 LG3 LG4 LG5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Case
Processing Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.919
|
5
|
RELIABILITY
/VARIABLES=BISA1 BISA2 BISA3 BISA4 BISA5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Reliability of Bank
Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
Case
Processing Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.919
|
5
|
SAVE
OUTFILE='C:\Users\XYZ\Desktop\Untitled2 88813.sav'
/COMPRESSED.
RELIABILITY
/VARIABLES=IP1 IP2 IP3 IP4 IP5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Case
Processing Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.971
|
5
|
RELIABILITY
/VARIABLES=C1 C2 C3 C4 C5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Case
Processing Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.773
|
5
|
RELIABILITY
/VARIABLES=F1 F2 F3 F4 F5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Case
Processing Summary
|
|
N
|
%
|
Cases
|
Valid
|
130
|
86.7
|
Excludeda
|
20
|
13.3
|
Total
|
150
|
100.0
|
a. Listwise deletion based on all variables in the procedure.
|
Reliability
Statistics
|
Cronbach's
Alpha
|
N of Items
|
.798
|
5
|
COMPUTE
BISystemsAdoption=(BISA1+BISA2+BISA3+BISA4+BISA5)/5.
EXECUTE.
COMPUTE
LearningAndGrow=(LG1+LG2+LG3+LG4+LG5)/5.
EXECUTE.
COMPUTE
InternalProcess=(IP1+IP2+IP3+IP4+IP5)/5.
EXECUTE.
COMPUTE Customer=(C1+C2+C3+C4+C5)/5.
EXECUTE.
COMPUTE
Finance=(F1+F2+F3+F4+F5)/5.
EXECUTE.
EXAMINE
VARIABLES=BISystemsAdoption LearningAndGrow InternalProcess Customer Finance
/PLOT BOXPLOT STEMLEAF HISTOGRAM NPPLOT
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Explore of Bank
Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
Case
Processing Summary
|
|
Cases
|
Valid
|
Missing
|
Total
|
N
|
Percent
|
N
|
Percent
|
N
|
Percent
|
BISystemsAdoption
|
130
|
86.7%
|
20
|
13.3%
|
150
|
100.0%
|
LearningAndGrow
|
130
|
86.7%
|
20
|
13.3%
|
150
|
100.0%
|
InternalProcess
|
130
|
86.7%
|
20
|
13.3%
|
150
|
100.0%
|
Customer
|
130
|
86.7%
|
20
|
13.3%
|
150
|
100.0%
|
Finance
|
130
|
86.7%
|
20
|
13.3%
|
150
|
100.0%
|
Descriptives
|
|
Statistic
|
Std. Error
|
BISystemsAdoption
|
Mean
|
4.7262
|
.13738
|
95% Confidence Interval for Mean
|
Lower Bound
|
4.4543
|
|
Upper Bound
|
4.9980
|
|
5% Trimmed Mean
|
4.7769
|
|
Median
|
5.0000
|
|
Variance
|
2.453
|
|
Std. Deviation
|
1.56634
|
|
Minimum
|
1.00
|
|
Maximum
|
7.00
|
|
Range
|
6.00
|
|
Interquartile Range
|
3.00
|
|
Skewness
|
-.247
|
.212
|
Kurtosis
|
-.606
|
.422
|
LearningAndGrow
|
Mean
|
4.7262
|
.13738
|
95% Confidence Interval for Mean
|
Lower Bound
|
4.4543
|
|
Upper Bound
|
4.9980
|
|
5% Trimmed Mean
|
4.7769
|
|
Median
|
5.0000
|
|
Variance
|
2.453
|
|
Std. Deviation
|
1.56634
|
|
Minimum
|
1.00
|
|
Maximum
|
7.00
|
|
Range
|
6.00
|
|
Interquartile Range
|
3.00
|
|
Skewness
|
-.247
|
.212
|
Kurtosis
|
-.606
|
.422
|
InternalProcess
|
Mean
|
5.2492
|
.16227
|
95% Confidence Interval for Mean
|
Lower Bound
|
4.9282
|
|
Upper Bound
|
5.5703
|
|
5% Trimmed Mean
|
5.3325
|
|
Median
|
5.0000
|
|
Variance
|
3.423
|
|
Std. Deviation
|
1.85021
|
|
Minimum
|
2.00
|
|
Maximum
|
7.00
|
|
Range
|
5.00
|
|
Interquartile Range
|
2.25
|
|
Skewness
|
-.679
|
.212
|
Kurtosis
|
-.890
|
.422
|
Customer
|
Mean
|
5.6954
|
.10407
|
95% Confidence Interval for Mean
|
Lower Bound
|
5.4895
|
|
Upper Bound
|
5.9013
|
|
5% Trimmed Mean
|
5.7479
|
|
Median
|
5.8000
|
|
Variance
|
1.408
|
|
Std. Deviation
|
1.18654
|
|
Minimum
|
3.20
|
|
Maximum
|
7.00
|
|
Range
|
3.80
|
|
Interquartile Range
|
2.00
|
|
Skewness
|
-.609
|
.212
|
Kurtosis
|
-.918
|
.422
|
Finance
|
Mean
|
5.2400
|
.11002
|
95% Confidence Interval for Mean
|
Lower Bound
|
5.0223
|
|
Upper Bound
|
5.4577
|
|
5% Trimmed Mean
|
5.2897
|
|
Median
|
5.4000
|
|
Variance
|
1.574
|
|
Std. Deviation
|
1.25442
|
|
Minimum
|
2.80
|
|
Maximum
|
7.00
|
|
Range
|
4.20
|
|
Interquartile Range
|
1.60
|
|
Skewness
|
-.710
|
.212
|
Kurtosis
|
-.818
|
.422
|
Tests of
Normality
|
|
Kolmogorov-Smirnova
|
Shapiro-Wilk
|
Statistic
|
df
|
Sig.
|
Statistic
|
df
|
Sig.
|
BISystemsAdoption
|
.131
|
130
|
.000
|
.938
|
130
|
.000
|
LearningAndGrow
|
.131
|
130
|
.000
|
.938
|
130
|
.000
|
InternalProcess
|
.236
|
130
|
.000
|
.801
|
130
|
.000
|
Customer
|
.146
|
130
|
.000
|
.878
|
130
|
.000
|
Finance
|
.209
|
130
|
.000
|
.867
|
130
|
.000
|
a. Lilliefors Significance Correction
|
BISystemsAdoption
Bank Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
BISystemsAdoption Stem-and-Leaf
Plot
Frequency
Stem & Leaf
3.00
1 . 000
.00
1 .
7.00
2 . 0000000
.00
2 .
23.00
3 . 00000000000000000000000
3.00
3 . 668
21.00
4 . 000000444444444444444
.00
4 .
36.00
5 .
000000000000000000000000222222222222
.00
5 .
14.00
6 . 00000000000000
.00
6 .
23.00
7 . 00000000000000000000000
Stem width: 1.00
Each leaf: 1 case(s)
LearningAndGrow Stem-and-Leaf
Plot
Frequency
Stem & Leaf
3.00
1 . 000
.00
1 .
7.00
2 . 0000000
.00
2 .
23.00
3 . 00000000000000000000000
3.00
3 . 668
21.00
4 . 000000444444444444444
.00
4 .
36.00
5 . 000000000000000000000000222222222222
.00
5 .
14.00
6 . 00000000000000
.00
6 .
23.00
7 . 00000000000000000000000
Stem width: 1.00
Each leaf: 1 case(s)
Frequencies
Bank
Performance and Systems of Business Intelligence in Ghana, The Approach of
Balanced Scorecard
Statistics
|
|
job
catogor
|
Please
indicate the elapsed time since adoption of BI Systems
|
N
|
Valid
|
130
|
130
|
Missing
|
20
|
20
|
Frequency
Table Bank Performance and Systems of Business Intelligence in Ghana,
The Approach of Balanced Scorecard
Job category
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
CIO
|
9
|
6.0
|
6.9
|
6.9
|
MIS Manager
|
38
|
25.3
|
29.2
|
36.2
|
IT Director/Manager
|
22
|
14.7
|
16.9
|
53.1
|
Business Analyze
|
33
|
22.0
|
25.4
|
78.5
|
Other(s)
|
28
|
18.7
|
21.5
|
100.0
|
Total
|
130
|
86.7
|
100.0
|
|
Missing
|
System
|
20
|
13.3
|
|
|
Total
|
150
|
100.0
|
|
|
Please
indicate the elapsed time since adoption of BI Systems
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
Less than 1 year
|
32
|
21.3
|
24.6
|
24.6
|
1–2 years
|
56
|
37.3
|
43.1
|
67.7
|
3–5 years
|
32
|
21.3
|
24.6
|
92.3
|
6–10 years
|
10
|
6.7
|
7.7
|
100.0
|
Total
|
130
|
86.7
|
100.0
|
|
Missing
|
System
|
20
|
13.3
|
|
|
Total
|
150
|
100.0
|
|
|