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http://dx.doi.org/10.22937/IJCSNS.2022.22.11.30

Adopting e-Government Services in Less Developed Countries According to the Characteristics of Business Intelligence: (Sudan as a model)  

Adrees, Mohmmed S. (College of Computer Science and Information Technology, Al-Baha University)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.11, 2022 , pp. 204-212 More about this Journal
Abstract
In this paper, a contribution is presented covering the data set in improving and developing electronic services provided to citizens through e-government services based on business intelligence in government agencies in the Republic of Sudan. The Business Intelligence Concept Survey was conducted from the perceptions of information department employees in government agencies. The survey was conducted from April to June 2021 using questionnaires. The dataset contains responses about the factors that influence the use of business intelligence and the barriers and limitations to the use of business intelligence. A five-point Likert scale was used to analyze the quantitative data. The opportunities and challenges associated with it were also discussed and explored. As evidenced by the results, the information department employees agree that business intelligence improves the government decision-making process, which helps decision makers and decision-makers to find alternatives and opportunities that contribute to making more accurate and timely decisions. The results also indicate that creating the infrastructure for applying business intelligence in the e-government work model contributes to the successful implementation of business intelligence in Sudan.
Keywords
Business Intelligence; E-government; less developed countries; Data analytics; Survey analytics;
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1 Mohajan, Haradhan Kumar. "Two criteria for good measurements in research: Validity and reliability." Annals of Spiru Haret University. Economic Series 17.4 (2017): 59-82.   DOI
2 Hallgren, K. A. (2012). Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutorials in Quantitative Methods for Psychology, 8(1), 23-34.   DOI
3 Adrees, M. S., Karrar, A. E., & Osman, W. I. (2020, December). Adoption of Smart Cities Models in Developing Countries: Focusing in Strategy and Design in Sudan. In International Conference of Reliable Information and Communication Technology (pp. 933-944). Springer, Cham.
4 Jamieson, S. (2004). Likert scales: how to (ab) use them. Medical Education, 38(12), 1217-1218.   DOI
5 Jadi, Yassine, and Lin Jie. "An Implementation Framework of Business Intelligence in e-government systems for developing countries: Case study: Morocco e-government system." 2017 International Conference on Information Society (i-Society). IEEE, 2017.
6 Belachew, M.: E-government initiatives in Ethiopia. In: Davies, J., Janowski, T. (eds.) Proceedings of the 4th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2010), pp. 49-54. ACM, New York (2010).
7 Taherdoost, Hamed. "Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research." How to test the validation of a questionnaire/survey in a research (August 10, 2016) (2016).
8 Johnson, Douglas H. "The insignificance of statistical significance testing." The journal of wildlife management (1999): 763-772.
9 Altheide, D. L., & Johnson, J. M. (1994). Criteria for Assessing Interpretive Validity in Qualitative Research. In N. K. Denzin & Y. S. Lincoln (Eds.). Handbook of Qualitative Research, pp. 485-499. Thousand Oaks, CA: SAGE.
10 H. Chen, R. H. Chiang, and V. C. Storey, Business intelligence and analytics: From big data to big impact., MIS Quarterly, 36 (2012), 1165-1188.   DOI
11 Majzoob K. Omer, Mohammed S. Adrees and Osama E. Sheta, 2018. Recommend Stages Model to Implement eGovernment Application Strategies. Journal of Engineering and Applied Sciences, 13: 6708-6712.
12 Adrees, M. S., Omer, M. K., & Sheta, O. E. (2016). Cloud computing adoption in the higher education (Sudan as a model): A SWOT analysis. American Journal of Information Systems, 4(1), 7-10.
13 Adrees, M. S., Abdalla, A. I., & Karrar, A. (2016). A proposed framework for using GIS to enhance traffic safety in Sudan: a case study. American journal of traffic and transportation engineering, 1(1), 1-6..
14 Nations, United Nations E-Government Survey 2020.
15 Glyptis, Loukas, et al. "E-Government implementation challenges in small countries: The project manager's perspective." Technological Forecasting and Social Change 152 (2020): 119880.   DOI
16 Adrees, M. S., et al. "A framework of promoting government services using social media: Sudan egovernment case study." Journal of Physics: Conference Series. Vol. 1167. No. 1. IOP Publishing, 2019.
17 Adrees, M. S., Omer, M. K., & Sheta, O. E. (2015). Recommend stages model to implement e-government application strategies. International Journal Of Core Engineering & Management, 2(3), 31-40..
18 Seo, DongBack, Chee-Wee Tan, and Gumala Warman. "Vendor satisfaction of E-government procurement systems in developing countries: an empirical research in Indonesia." Information Technology for Development 24.3 (2018): 554-581.   DOI
19 Gaardboe, Rikke, Tanja Svarre, and Anne Marie Kanstrup. "Characteristics of business intelligence and big data in egovernment: Preliminary findings." Innovation and the public sector (2015): 109.
20 Jadi, Yassine, and Lin Jie. "An Implementation Framework of Business Intelligence in e-Government Systems for Developing Countries." 10th European Conference on Information Systems Management. 2016.
21 A. McAfee and E. Brynjolfsson, Big data: The management revolution. (cover story), Harvard Business Review, 90 (2012), 60-68.
22 Pedersen, Keld. "E-government transformations: challenges and strategies." Transforming Government: People, Process and Policy (2018).
23 Sagarik, Danuvas, et al. "E-government 4.0 in Thailand: The role of central agencies." Information Polity 23.3 (2018): 343-353.   DOI
24 Ashaye, Olusoyi Richard, and Zahir Irani. "The role of stakeholders in the effective use of e-government resources in public services." International Journal of Information Management 49 (2019): 253-270.   DOI
25 Naqvi, Al. "AI-GOVERNMENT VERSUS EGOVERNMENT: HOW TO REINVENT GOVERNMENT WITH AI?." Handbook of Artificial Intelligence and Robotic Process Automation: Policy and Government Applications (2020): 97.
26 El-Adaileh, Nadeem Ali, and Scott Foster. "Successful business intelligence implementation: a systematic literature review." Journal of Work-Applied Management (2019).
27 Meiyanti, Ruci, et al. "E-government challenges in developing countries: a literature review." 2018 6th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2018.
28 Siau, K., & Long, Y. (2009). Factors impacting egovernment development. Journal of Computer Information Systems, 50(1), 98-107.Gartner, Flipping to Digital Leadership: Insights from the 2015 Gartner CIO Agenda Report, Gartner,Stamford, US, 2014.
29 J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers, Big Data: The next Frontier for Innovation, Competition, and Productivity, McKinsey Global Institute, 2011.
30 S. Alter, A work system view of DSS in its fourth decade, Decision Support Systems, 38 (2004), 319-327.   DOI