Adaptability of automated information systems by the development sector in developing countries: a case study

Ahmed, Bilal, Haq, Bushra, Ali, Kamran ORCID logoORCID: https://orcid.org/0000-0001-5301-9125 and Iqbal, Mazhar (2021) Adaptability of automated information systems by the development sector in developing countries: a case study. 2021 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube). In: International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), 26-27 Oct 2021, Quetta, Pakistan. e-ISBN 9781665401548, pbk-ISBN 9781665401555. [Conference or Workshop Item] (doi:10.1109/ICECube53880.2021.9628254)

Abstract

The information technology has significantly transformed and enhanced the transparency, quality, and accountability of data in various sectors. The automation reduced data manipulation and enabled a data-driven decision-making environment based on the facts, trends, and statistics. The USAID’s Data Quality Standards ensured the validity, integrity, precision, reliability, and timeliness of data stored in both automated and non-automated systems. In this research, a case study is discussed, focusing on the status of adaptability of automated information systems by the development sector in developing countries. The research identified the status-quo of availability of automated and non-automated information systems, the challenges in the adaptation of the systems, and tendency of the organizations in adaptation of the automated systems. The results articulated that many organizations have adapted both non-automated and automated information systems, and there is high tendency in adaptation of the automated information systems by development sector specially in the developing countries, like Pakistan. However, lack of specific budget and technical staff is a challenge during the transition from non-automated to, and the utilization of, automated information systems.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 34584
Useful Links:
Depositing User: Kamran Ali
Date Deposited: 21 Jan 2022 16:36
Last Modified: 15 Jul 2022 15:09
URI: https://eprints.mdx.ac.uk/id/eprint/34584

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
2Downloads
6 month trend
44Hits

Additional statistics are available via IRStats2.