International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Achieving Governmental Innovation through Artificial Intelligence Adoption

Abstract

The study aimed to identify the role of readiness for artificial intelligence (AI) requirements (technical infrastructure, data sets, administrative and organizational readiness, laws and legislations, AI ethics, and societal challenges) in government innovation from the point of view of the employees in Jordanian government agencies. (342) valid questionnaires were collected from employees working at information technology departments of Jordanian government agencies.

After analyzing the data, the study concluded that the level of availability of artificial intelligence in Jordanian government agencies is moderate, and the degree of availability of the sub-dimensions of artificial intelligence was moderate, except for two dimensions data sets and legislation, which came within high level. The availability of government innovation is high. The study also found there is a significant effect of artificial intelligence on government innovation in Jordanian government agencies and explained 62% of the variance in government innovation.

The study recommended the need to pay attention to the development of artificial intelligence requirements because of continuous development in technology and environment, and to make this a continuous process. In addition, government agencies need to cooperate with public and private sector organizations, build partnerships with them for the benefit of both in developing artificial intelligence, and thus government innovation, and making artificial intelligence and government innovation on the ladder of their priorities and strategic plans.

Country : Saudi Arabia / Jordan

1 Dr. Abdullah Ayed AlGarni2 Professor Dr. Nazem M. Malkawi3 Engineer Mahdi N. Malkawi

  1. Institute of Public Administration, Saudi Arabia
  2. Research and Studies Center, Institute of Public Administration, Saudi Arabia
  3. Web help company, Jordan

IRJIET, Volume 8, Issue 6, June 2024 pp. 137-148

doi.org/10.47001/IRJIET/2024.806017

Full Paper
Download

References

  1. Malkawi, N. (2016). Executing Knowledge Management 2.0 (KM 2.0) through Web 2.0-Applied Study at Jordanian Insurance Companies. International Journal of Business and Social Science, 7(10).‏ bhttp://www.ijbssnet.com/journals/Vol_7_No_10_October_2016/16.pdf.W.-K.
  2. Saha, N., Sáha, T., &Sáha, P. (2018). Cluster strategies and smart specialisation strategy: do they really leverage on knowledge and innovation-driven territorial growth. Technology analysis & Strategic management, 30(11), 1256-1268.https://www.oecd.org/innovation/inno/smart-specialisation.pdf.
  3. Franka, Morgan R. et.al. (2019). toward understanding the impact of artificial intelligence on labor, PNAS, www.pnas.org/cgi/doi/10.1073/pnas.1900949116.
  4. Laudon, Kenneth and Laudon, Jane (2019). Management Information Systems: Managing the Digital Firm, Pearson Corporation, USA.
  5. Knight, W. (2017). China’s AI awakening: The west shouldn’t fear China’s artificial-intelligence revolution. It should copy it. MIT Technology Review, 120(6), 66–72.
  6. Holmes, Frank (2019). AI Will add $15 Trillion to The World Economy By 2030, https://www.forbes.com/sites/greatspeculations/2019/02/25/aiwillad-15-trillion-to-theworldeconomyby2030/#255877c41852.http://wwwformal.stanfod.du/jmc/whatisai/node1.html.
  7. Oxford Government AI readiness, 2020.
  8. Al-Khasawneh, A. L., Malkawi, N. M. & AlGarni, A. A. (2018). Sources of recruitment at foreign commercial banks in Jordan and their impact on the job performance proficiency. Banks & bank systems, 13(2), 12-26.https://doaj.org/article/9b7e66be1cac42dba150a12cb529bc35.
  9. Wirtz, Bernd W.; Weyerer, Jan C. & Geyer, Carolin (2019) “Artificial Intelligence and the Public Sector—Applications and Challenges”, International Journal of Public Administration, 42(7) 596–615.
  10. Eaton, E., Dietterich, T., Gini, M., Grosz, B. J., Isbell, C. L., Kambhampati, S. & Wooldridge, M. (2016). Who speaks for AI? AI Matters, 2(2), 4-14. https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/291.
  11. Scherer, M. U. (2016). Regulating artificial intelligence systems: Risk, challenges, competencies, and strategies. Harvard Journal of Law & Technology, 29(2), 353–400.
  12. Zheng, Y., Han, Y., Cui, L., Miao, C., Leung, C., & Yang, Q. (2018). SmartHS: An AI platform for improving government service provision. The Thirtieth AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI- 18), 7704–7711., https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16041/16369, Retrieved 25/08/2023.
  13. Gaurav, B., Queirolo, A., & Santhanam, N. (2018). Artificial intelligence: The time to act is now. Edited by McKinsey & Company. Retrieved July 2, 2020, 23, from https://www.mckinsey.com/industries/advanced-electronics/our-insights/artificialintelligence-the-time-to-act-is-now.
  14. Boyd, M., & Wilson, N. (2017). Rapid developments in artificial intelligence: How might the New Zealand government respond? Policy Quarterly, 13(4), 36–44.
  15. Bataller, C., & Harris, J. (2016). Turning artificial intelligence into business value. Today. Edited by Accenture. Retrieved June 29, 2023: https://www.accenture.com/t20160401T100530__w__/usen/_acnmedia/Accenture/ConversionAssets/DotCom/Documents/Global/PDF
  16. Arab British Academy for Higher Education. Artificial Intelligence www.abahe.co.uk 9, (2019).
  17. The Second Summit on Artificial Intelligence for the Common Good (2019). https://sdg.iisd.org/news/global-summit-focuses-on-the-role-of-artificial-intelligence-in-advancing-sdgs/.
  18. Legg, S. & Hutter, M. (2007). Collection of definitions of intelligence. Frontiers in Artificial Intelligence and applications 157(17).
  19. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the dart mouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 27(4), 12-12.
  20. Russell, S. J., & Norvig, P. (2010). Artificial intelligence a modern approach P. 2, London.
  21. Malkawi, N., Obeidat, A. M., & Halasa, A. (2017). Achieving performance excellence through cloud computing atmosphere-applied study at Zain Telecommunications Company-Jordan. International Review of Management and Business Research, 6(1), 229.
  22. Malkawi, Nazem (2020). The Role of University Education and Training in the Development of Future Skills from the Viewpoint of Jordanian Public University Professors, PUBLIC ADMINISTRATION JOURNAL 61(2). PP. 335-392.
  23. Santeli, Julián Torres & Gerdon, Sabine (2019). 5 challenges for government adoption of AI, World Economic Forum.
  24. IDRC international development Research Center (2019, “Government Artificial Intelligence Readiness Index”, Canada.
  25. Gasser, Urse (2017). AI and the Law: Setting the Stage, Berkman Klein Center for Internet & Society at Harvard University. Retrieved September 14, 2020, from https://medium.com/berk man-klein-center/ai-and-the-law-setting-the-stage48516fda1b11.
  26. Russell, S. (2015). Take a stand on AI weapons. Nature, 521 (7553), 415–416. http.Doi:10.1038/521415.
  27. Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the ‘good society’: The US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505–528. Doi: 10.1007/s11948-017-9901-7.
  28. Applications of artificial intelligence as a modern trend to enhance the competitiveness of business organizations, Arab Democratic Center, 2019.
  29. Herman, J. (2017a). Federal pilot to integrate public services into intelligent personal assistants. Edited by DigitalGov. U. S. General Services Administration. From https://digital.gov/2017/04/24/federal-pilot-to-integrate-public-services-into-intelligent-, Retrieved September 23, 2023.
  30. Herman, J. (2017b). Opening public services to artificial intelligence assistants. Edited by U.S. General Services Administration. https://www.gsa.gov/blog/2017/06/06/. Retrieved 20/10/2023.
  31. Chui, Michael, et. Al. (2018). Notes from the AI frontier: Applications and value of deep learning, Mckinsy Gobal Institute, https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning.
  32. OECD (2018). "Embracing Innovation in Government: Global Trends 2018". www.oecd.org. Retrieved 31-05-2023.
  33. Institute of Public Administration Australia (2019). In Brief - Artificial Intelligence in the Public Sector. Linked infographic based on information by Daniel Castro, Steve Nichols, Eric Ellis, Cynthia Stoddard (Adobe Chief Information Officer) and Government Technology reporting. Retrieved 26/5/2023.
  34. Mehr, Hila (August 2017). "Artificial Intelligence for Citizen Services and Government" (PDF). Ash.harvard.edu. Retrieved 5/07/2023.
  35. Kevin, Desouza C. (2018). IBM Center for The Business of Government Artificial Intelligence in Government: Challenges and Opportunities, http://www.businessofgovernment.org/report/delivering-artificial-intelligence-government-challenges-and-opportunities.
  36. Bughin, Jacques and Hazan, Eric (2019) “Can artificial intelligence help society as much as it helps business?” Article, McKinsey.
  37. Musser, S. (2015). Sacrifice, Sabbath, and the Restoration of Creation (Doctoral dissertation).
  38. Bennett, S. E. (1988). “Know-Nothings" Revisited: The Meaning of Political Ignorance Today. Social Science Quarterly, 69(2), 476.
  39. Al-Amyan, M. S. (2002). Organizational behavior in business organizations. Amman: Dar Wael for publication.
  40. alkawi, Nazem et. al. (2021). leadership and decision making in cases of uncertainty and risks-the coronavirus (COVID-19) crisis, International Journal of Engineering Technologies and Management Research, August 2021 8(8), 52–74.
  41. Ohme, M., & Miura, A. (1988). Tetrad analysis in conchosporegermlings of Porphyrayezoensis (Rhodophyta, Bangiales). Plant Science, 57(2), 135-140.
  42. Dvir, R., & Pasher, E. (2004). Innovation engines for knowledge cities: an innovation ecology perspective. Journal of knowledge management, 8(5), 16-27.
  43. Malkawi, N and Mohailan M. (2022). E-Learning adoption during COVID-19 crisis and its effect on achieving students’ performance: Evidence from Jordanian universities. Journal of Technology and Science Education, 12(2), 345-361.https://www.jotse.org/index.php/jotse/article/view/1278.
  44. Daft, Richard, L. (2000) Management, Fifth edition, Harcovert, Inc., The Dryden Press, Orlando, Florida.
  45. Dreger, Amders, (2002), Situations for Innovation Towards a contingency Model, European journal of Innovation management, 5(1), pp. 4-17.
  46. Suliman, Abubakr Mohyeden, (2001), Are you ready to Innovate. Work climate– Readiness to Innovate Relationship: The case of Jordan, Journal of creativity and Innovation Management, 10 (1), pp 49-59.
  47. Mckie, Stewart, (2004) Practical tools for New Ideas", Intelligent Enterprise Magazine, February 10, 2004.
  48. Bernard Le Masson (2013). Cabinet Office, Digital Efficiency Report, London: Cabinet Office, European Centre for Government Transformation.
  49. Mohan, Shane (2017). Transforming the Public Sector Delivering successful public sector transformation through innovation, OECD, https://www2.deloitte.com/ie/en/pages/public-sector/articles/transforming-the-public-sector-.html.
  50. A  UK Digital Efficiency Report (2013), https://www.gov.uk/government/publications/digital-efficiency-report/digital-efficiency-report.
  51. Malkawi, N., Al-khasawneh, A., & Mohailan, M. (2021). Enhancing business entrepreneurship through open government data. Management Science Letters, 11(3), 861-870.
  52. Kane, Hary & Ragsdell, Gillian, (2003), "How Might Models of Innovation Inform the management of Knowledge", European Knowledge Management Summer School, 7-12 sept 2003, Spain.
  53. Goh, Andrew (2004), "Enhancing Organizational performance through knowledge Innovation: A proposed Strategic Management Framework", Journal of Management practice.
  54. Deloitte Consulting LLP (2018). State of AI in the Enterprise, 2nd Edition, October 22, 2018, www.deloitte.com/insights.
  55. Bazalgette, E., & Craig, J. (2017). Growing government innovation labs: an insider's guide.
  56. Suhaimat, Fadi (2020). The impact of artificial intelligence on the quality of administrative decisions in Jordanian government agency centers, https://www.academia.edu/28360494.
  57. Al-Baqmi, Miteb and Al-Bishtawi, Suleiman (2015). The impact of the application of expert systems in commercial banks on electronic auditing procedures from the point of view of external legal accountants, a comparative study in Jordan and Saudi Arabia, the Jordanian Journal of Business Administration, Volume 11, Number 1.
  58. Mittal, Nitin, Kuder, Dave & Hans, Samir (2018). AI-fueled organizations, Reaching AI’s full potential in the enterprise, Deloitte insights, https://www2.deloitte.com/us/en/insights/focus/tech-trends/2019/driving-ai-potential-organizations.html.
  59. Tambe, Prasanna, Cappelli, Peter &Yakubovich, Valery (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward, California Management Review 2019, Vol. 61(4) 15 –42. DOI: 10.1177/0008125619867910.
  60. Malkawi, NMM (2018a). How to Improve Decision Making Process through Decision Support Systems & Business Intelligence: Evidence from Jordan University Hospital”, Journal of Economic & Management Perspectives, Vol. 12, Issue 2.
  61. Malkawi, N. M., &Halasa, A. (2016). Exploiting electronic social networks in educational process: Study at Universities in Irbid State-Jordan. Journal of Education & Social Policy, 3(5), 96-105.‏
  62. Santeli, J. T., &Gerdon, S. (2019). World Economic Forum.
  63. Malkawi, N. M., Baniata, M. I., & Obeidat, A. M. (2017). The Impact of E-government Applications on Decision-Making Effectiveness Case Study at Jordanian Ministry of Interior-Jordan. International Review of Management and Business Research, 6(1), 172.https://www.irmbrjournal.com/papers/1487592309.pdf.
  64. Malkawi, N. (2017). Enhancing Entrepreneurship through E-Commerce Adoption-Applied Study at Small Companies, Irbid, Jordan, ‏ International Journal of Research in Management, Economics and Commerce 7(1), http://indusedu.org/pdfs/IJRMEC/IJRMEC_1049_69037.pdf.
  65. Ministry of Digital Economy and Entrepreneurship - Jordan (2020). https://www.modee.gov.jo/ebv4.0/root_storage/ar/eb_list_page, Accessed 27-9-2023.
  66. Malkawi, N. M. (2018b). Using electronic human resource management for organizational excellence-case study at social security corporation-Jordan. International Journal of Engineering Technologies and Management Research, 5(5), 146-166.‏
  67. Mckinsey (2023a). The economic potential of generative AI: The next productivity frontier, 2023. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier. Retrieved 15 November.
  68. Mckinsey (2023b). Insights on Artificial Intelligence, https://www.mckinsey.com/capabilities/quantumblack/our-insights, Retrieved 10 November.
  69. Malkawi, Nazem (2024). The role of cybersecurity enablers in Data and Information Security at Jordanian government agencies, PUBLIC ADMINISTRATION JOURNAL 64(4). PP. 1285-1340.
  70. Thierer, A., O’Sullivan Castillo, A., & Russell, R. (2017). Artificial intelligence and public policy. Mercatus research. Edited by Mercatus Center at George Mason University, P. 8-10.

Copyright @ 2026-2017 IRJIET. All Right Reserved.

Developed by Byzero Technologies