4. Methodology 4.1 Introduction
5.1 Findings from Method 1: Content Analysis
In the light of these findings the following recommendations are suggested, having seen the positive relationships that exist between the variables under study.
1. The management of the financial institutions should make more adverts on the use of POS and ATM so as to encourage more people to use it which on the long run will increase the performance of the Nigeria banking system.
2. More so, the cost procuring POS should be drastically reduced, to make it affordable to retailers, filling stations, and supermarkets, so as to promote the performance of the Nigeria banking system.
Suggestions for Further Studies
The researcher recommends the following areas for further studies; the researcher suggests that for effective conclusive study on relationship between ICT and financial performance, a replica study should be carried out in another industry for example the insurance sectors for comparison of results. The researcher suggests
that in future studies be conducted using interview guide and involving the respondents into discussions. This would help the researcher direct the conversation toward topics and issues on ICT adopted and the challenges faced.
The sample size should also be increased to cover more management staff.
Certainly acknowledging that financial institutions are currently adopting IC Tin their business operations, the researcher suggests that a further study be carried to establish whether adoption of ICT increases the demand for product or services from deposit money banks.
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APPENDIX
RESULT OF ANALYSIS Table 4.1 Data used for the analysis
Year POS ATM ROA BD
2012 18581 1865 0.07 2489047
2013 13283 2437 0.06 3011113
2014 15932 2151 0.06 3222004
2015 15704 2700 0.06 3115574
2016 7048 2779 0.06 3520299
2017 8656 2892 0.06 3808704
Source: First Banks Annual Report (2012 – 2017)
Table 4.2: Coefficientsa ( Regression result for Model One)
Model Unstandardized
Coefficients
Standardized Coefficients
T Sig.
B Std. Error Beta
1
(Constant) .055 .005 10.750 .000
Point of
sales 5.323207 .000 .586 1.446 .022
b. Dependent Variable: Return on asset
Source: Compiled by the research from the result SPSS software (2018).
Table 4.3: Coefficientsa (Regression result for Model Two)
Model Unstandardized
Coefficients
Standardized Coefficients
T Sig.
B Std.
Error
Beta
1
(Constant) 815576.427 746596.
184 1.092 .336
Automated teller
machine 962.850 298.956 .850 3.221 .032
a. Dependent Variable: Bank deposit
Source: Compiled by the research from the result SPSS software (2018).
Table 4.5: ( Correlation result for hypothesis one) Return on
asset
Point of sales
Return on asset
Pearson
Correlation 1 .586
Sig. (2-tailed) .022
N 6 6
Point of sales
Pearson
Correlation .586 1
Sig. (2-tailed) .022
N 6 6
Source: Compiled by the research from the result SPSS software (2018).