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Introduction & Background of the Bank Performance and Systems of Business Intelligence in Ghana The Approach of Balanced Scorecard

Category: Accounting & Finance Paper Type: Report Writing Reference: N/A Words: 2830

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

 

 

 

 

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