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ARTIFICIAL INTELLIGENCE ADOPTION AND EMPLOYEE PERFORMANCE IN THE NIGERIAN BANKING INDUSTRY

Year 2020, , 189 - 205, 15.09.2020
https://doi.org/10.29064/ijma.734734

Abstract

The study examined Artificial Intelligence and Employee Performance in the Nigerian Banking Industry, Lagos Nigeria as a study to generalize result. The objective of this study was to examine the complementability of AI to work processes and to know if it eases employee operations in banks in Nigeria. Cross-sectional descriptive research design was adopted by the researcher. Primary data was to elicit information for this study. The population of the study was the entire employees of six (6) selected banks operating in Lagos State, Nigeria, which totaled 127 staffs. The study adopted Taro Yamane (1967) sample size determinant to arrive at a sample size of 98 elements. 98 copies of questionnaires were administered to respondents of six banks in Lagos State, Nigeria, which was divided using simple proportion and ratio among the six banks, 98 respondents were used for data analysis. Content validity was adopted for this study. Reliability test was conducted using Cronbach Alpha and it returned 0.773 showing internal consistency of research instrument. Descriptive statistics such as mean, simple percentage was used to analyze the demography of respondents while regression and Pearson correlation coefficients was used to analyze data. The findings revealed that Artificial Intelligence complements work process in banks in Nigeria and that machine-aided tasks ease operations in banks in Nigeria. The study recommended the adoption of AI by not only banks but all other firms in the service industry; the need for all employees and people to be educated on the importance of embracing AI; the upgrading of school curriculum at all levels in developing and third world economies to incorporate AI and its accompanying gadgets.

References

  • .Acemoglu, D. (2002). Technical change, inequality, and the labour market. Journal of Economic Literature, 40, 7-72.
  • Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings.In: Ashenfelter, Orley, Card, David (Eds.). Handbook of Labor Economics, San Diego: North Holland, Vol. 4B.
  • Agboola, A.A. (2003). Impact of electronic banking on customer services in Lagos, Nigeria. Journal of Social Sciences, 7(1), 27-36. Ahmed, O. (2018). Artificial Intelligence in HR. International Journal of Research and Analytical Reviews, 5(4), 971-978.
  • Akanbi, P.A., Ayodele, T.D., & Adedipe, O.A. (2014). An investigation in some factors influencing the intention to use internet banking among undergraduates in Nigeria. Research of Finance and Accounting, 5(8), 1-10.

ARTIFICIAL INTELLIGENCE ADOPTION AND EMPLOYEE PERFORMANCE IN THE NIGERIAN BANKING INDUSTRY

Year 2020, , 189 - 205, 15.09.2020
https://doi.org/10.29064/ijma.734734

Abstract

The study examined Artificial Intelligence and Employee Performance in the Nigerian Banking Industry, Lagos Nigeria as a study to generalize result. The objective of this study was to examine the complementability of AI to work processes and to know if it eases employee operations in banks in Nigeria. Cross-sectional descriptive research design was adopted by the researcher. Primary data was to elicit information for this study. The population of the study was the entire employees of six (6) selected banks operating in Lagos State, Nigeria, which totaled 127 staffs. The study adopted Taro Yamane (1967) sample size determinant to arrive at a sample size of 98 elements. 98 copies of questionnaires were administered to respondents of six banks in Lagos State, Nigeria, which was divided using simple proportion and ratio among the six banks, 98 respondents were used for data analysis. Content validity was adopted for this study. Reliability test was conducted using Cronbach Alpha and it returned 0.773 showing internal consistency of research instrument. Descriptive statistics such as mean, simple percentage was used to analyze the demography of respondents while regression and Pearson correlation coefficients was used to analyze data. The findings revealed that Artificial Intelligence complements work process in banks in Nigeria and that machine-aided tasks ease operations in banks in Nigeria. The study recommended the adoption of AI by not only banks but all other firms in the service industry; the need for all employees and people to be educated on the importance of embracing AI; the upgrading of school curriculum at all levels in developing and third world economies to incorporate AI and its accompanying gadgets.

References

  • .Acemoglu, D. (2002). Technical change, inequality, and the labour market. Journal of Economic Literature, 40, 7-72.
  • Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings.In: Ashenfelter, Orley, Card, David (Eds.). Handbook of Labor Economics, San Diego: North Holland, Vol. 4B.
  • Agboola, A.A. (2003). Impact of electronic banking on customer services in Lagos, Nigeria. Journal of Social Sciences, 7(1), 27-36. Ahmed, O. (2018). Artificial Intelligence in HR. International Journal of Research and Analytical Reviews, 5(4), 971-978.
  • Akanbi, P.A., Ayodele, T.D., & Adedipe, O.A. (2014). An investigation in some factors influencing the intention to use internet banking among undergraduates in Nigeria. Research of Finance and Accounting, 5(8), 1-10.
There are 4 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Ayobami F. Elegunde This is me

Reuben Osagıe 0000-0003-3318-7433

Publication Date September 15, 2020
Submission Date May 9, 2020
Acceptance Date August 30, 2020
Published in Issue Year 2020

Cite

APA Elegunde, A. F., & Osagıe, R. (2020). ARTIFICIAL INTELLIGENCE ADOPTION AND EMPLOYEE PERFORMANCE IN THE NIGERIAN BANKING INDUSTRY. International Journal of Management and Administration, 4(8), 189-205. https://doi.org/10.29064/ijma.734734

Dergide aşağıdaki alanların kapsamına giren nitelikli çalışmalar yayımlanabilir;

İşletme, İktisat, Çalışma Ekonomisi ve Endüstri İlişkileri, Maliye, Kamu Yönetimi ve Siyaset Bilimi, Ekonometri, Yönetim Bilişim Sistemleri, Eğitim Yönetimi, Sağlık Yönetimi, Turizm Yönetimi, Havacılık Yönetimi, Denizcilik İşletmeleri Yönetimi, Mühendislik ve Teknoloji Yönetimi, Enerji Yönetimi, Lojistik Yönetimi, Çevre Yönetimi, Medya ve İletişim Yönetimi, Afet Yönetimi, Multidisipliner Yönetim ve Ekonomi Çalışmaları.

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