Evaluation of information technology impact on bank’s performance: The Ghanaian experience

With the introduction of information technology (IT), a lot of organizations are making significant investment on them. These organizations see IT as a tool for having a competitive advantage. This increasing dependence on IT by organizations has generated the debate to assess its impact on organiza...

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Main Authors: Peter Appiahene, Yaw Marfo Missah, Ussiph Najim
Format: Article
Language:English
Published: SAGE Publishing 2019-03-01
Series:International Journal of Engineering Business Management
Online Access:https://doi.org/10.1177/1847979019835337
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spelling doaj-b81a63c8cecf41e98e2d1e45bb6e04052021-04-02T17:52:25ZengSAGE PublishingInternational Journal of Engineering Business Management1847-97902019-03-011110.1177/1847979019835337Evaluation of information technology impact on bank’s performance: The Ghanaian experiencePeter AppiaheneYaw Marfo MissahUssiph NajimWith the introduction of information technology (IT), a lot of organizations are making significant investment on them. These organizations see IT as a tool for having a competitive advantage. This increasing dependence on IT by organizations has generated the debate to assess its impact on organization’s performance. The results of previous studies on IT and firms’ performance are consistently attributed to the lack of valid quantitative measures. Non-parametric models like data envelopment analysis (DEA) have been suggested to be a good qualitative measure of IT impact on organizations performance compared to parametric methods. This current study applied a two-stage DEA model on 444 Ghanaian bank branches. The efficiencies were determined using the Robust DEA package in R programming. The results suggested that IT had significant impact on the banks’ overall performance as a good number of them (78.82%) were efficient in their entire operations, even though their respective efficiencies in deposit and investment were not good. In conclusion, further studies can combine DEA with machine learning algorithms to study the impact of IT on firms’ performances using the study’s data.https://doi.org/10.1177/1847979019835337
collection DOAJ
language English
format Article
sources DOAJ
author Peter Appiahene
Yaw Marfo Missah
Ussiph Najim
spellingShingle Peter Appiahene
Yaw Marfo Missah
Ussiph Najim
Evaluation of information technology impact on bank’s performance: The Ghanaian experience
International Journal of Engineering Business Management
author_facet Peter Appiahene
Yaw Marfo Missah
Ussiph Najim
author_sort Peter Appiahene
title Evaluation of information technology impact on bank’s performance: The Ghanaian experience
title_short Evaluation of information technology impact on bank’s performance: The Ghanaian experience
title_full Evaluation of information technology impact on bank’s performance: The Ghanaian experience
title_fullStr Evaluation of information technology impact on bank’s performance: The Ghanaian experience
title_full_unstemmed Evaluation of information technology impact on bank’s performance: The Ghanaian experience
title_sort evaluation of information technology impact on bank’s performance: the ghanaian experience
publisher SAGE Publishing
series International Journal of Engineering Business Management
issn 1847-9790
publishDate 2019-03-01
description With the introduction of information technology (IT), a lot of organizations are making significant investment on them. These organizations see IT as a tool for having a competitive advantage. This increasing dependence on IT by organizations has generated the debate to assess its impact on organization’s performance. The results of previous studies on IT and firms’ performance are consistently attributed to the lack of valid quantitative measures. Non-parametric models like data envelopment analysis (DEA) have been suggested to be a good qualitative measure of IT impact on organizations performance compared to parametric methods. This current study applied a two-stage DEA model on 444 Ghanaian bank branches. The efficiencies were determined using the Robust DEA package in R programming. The results suggested that IT had significant impact on the banks’ overall performance as a good number of them (78.82%) were efficient in their entire operations, even though their respective efficiencies in deposit and investment were not good. In conclusion, further studies can combine DEA with machine learning algorithms to study the impact of IT on firms’ performances using the study’s data.
url https://doi.org/10.1177/1847979019835337
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