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All Journal JINAV: Journal of Information and Visualization ARRUS Journal of Engineering and Technology
Enukoha, Chidiebere U.
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics

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Information Technology Predictor Variables and Employee Productivity in Commercial Banks Angioha, Pius U.; Enukoha, Chidiebere U.; Agba, Rose U.; Ikhizamah, Gerald U.
JINAV: Journal of Information and Visualization Vol. 1 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav178

Abstract

The study examines the extent to which information technology predictor variables; knowledge of information technology, management support for the use of information technology; frequency of use of information technology and access to information technology relates to employees’ productivity in commercial banks. The survey research method was used to select 400 samples from 8 banks using purposive, proportional and random sampling techniques. The study area is Cross River state. Structured questionnaires were used to elicit information from the population under study. The reliability of the instrument was tested using Cronbach Alpha (ranging from 0.79 and 0.91). Data were analysed using multiple regression at 0.05 confidence level. Result revealed a statistical significant joint influence of all the predictor variables (Knowledge of information technology; Management support for the use of information technology; Frequency of use of information technology and access to information technology on commercial bank employees’ productivity. Based on the findings, the study recommends that Banks employ IT in a manner that meets the desired qualities of flexibility and scalability while exposing employees to regular training to keep abreast of innovations in information technology
Motivation Behind E-Trust of Electronic banking Channels by Banks Enamhe, Dornklaimz; Enukoha, Chidiebere U.; Angioha, Pius U.; Kusi, Manderson
ARRUS Journal of Engineering and Technology Vol. 1 No. 2 (2021)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech679

Abstract

This quantitative study attempts to validate the adoption of electronic banking channels by commercial banks for operational performance. The study was a survey that adopted a structured self-designed questionnaire to elicit data from management staff selected from commercial banks in Cross River states using proportional and simple random sampling techniques. Descriptive statistics and Pearson Product Moment correlation was used to analyse the collected data. Electronic banking channels were measured by automated teller machines and internet banking to analyse the data, and this was measured continuously. Analyse results validates the adoption of electronic banking channels (Automated teller machines and Internet banking). The study suggests factors that improve digital banking for bank profitability and operational performance based on these findings
Co-Authors Agba, Rose U. Angioha, Pius U. Enamhe, Dornklaimz Ikhizamah, Gerald U. Kusi, Manderson