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This Author published in this journals
All Journal JINAV: Journal of Information and Visualization Quantitative Economics and Management Studies
Rose U. Agba
Department of Sociology, University of Calabar, Cross River, Nigeria
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Mathematics

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Information Technology Predictor Variables and Employee Productivity in Commercial Banks Pius U. Angioha; Chidiebere U. Enukoha; Rose U. Agba; Gerald U. Ikhizamah
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
Operating SMEs in the Face of the Covid-19 Pandemic in Calabar Mary U. Ojong-Ejoh; Pius U. Angioha; Rose U. Agba; Evaristus A. Aniah; Maruf Gbadebo Salimon; Abayomi Akintola
Quantitative Economics and Management Studies Vol. 2 No. 4 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.637 KB) | DOI: 10.35877/454RI.qems305

Abstract

This study examines the impact of the covid-19 pandemic on small and medium scale enterprise Operation in Calabar, Cross River State, Nigeria. The cross-sectional survey method was used in collecting data from 474 SMEs in Calabar, Cross River State using the stratified and purposive sampling technique. The instrument of data collection was a self-developed semi-structured questionnaire. Data collected from the field was coded, analyzed using descriptive statistics such as tables and graphs and correlation analysis at 0.05 level of significance. Out of the 474-instrument distributed only 422 was returned and used for analysis. From the analysis, the result revealed that 88.6 per cent of the SMEs reported being negatively affected by the pandemic, 71.3 per cent reported laying off employees during this period. Also result from the correlation analysis revealed that there is a significant relationship between covid-19 pandemic and the operations of SMEs in Calabar, Cross River State, Nigeria. Based on these findings, there is a need for policy adjustment toward SMEs operations in Calabar
Co-Authors Abayomi Akintola Chidiebere U. Enukoha Evaristus A. Aniah Gerald U. Ikhizamah Maruf Gbadebo Salimon Mary U. Ojong-Ejoh Pius U. Angioha Pius U. Angioha