Master

Oct 28, 2012 - Nov 27, 2014

Management information system

Bsc degree

Oct 10, 2006 - Jun 30, 2010

Management information system

Government Program [Head of the Government Program Unit]

Jun 25, 2023 - Present

Factors of Digital Citizenship and Their Impact on Digital Transformation: An Analytical Study of the Opinions of Samples of the Staff in the Presidency of the Northern Technical University

Sep 15, 2025

Journal NTU Journal for Administrative and Human Sciences

Issue 5

Volume 3

The current study aims at demystifying the contribution of digital citizenship factors as an input to the process of digital transformation in the presidency of the Northern Technical University. The study adopts questionnaire as a procedure of data collection. (180) Questionnaires are distributed to individuals working in the university presidency at various administrative levels. Moreover, the data are analyzed utilizing the statistical package for the social sciences (SPSS. V26) to find out frequencies, percentages, arithmetic mean, standard deviation, correlations and effects between the research variables and to test the hypotheses. The results of the study show the existence of close correlations and influence between the research variables, as well as the availability of digital citizenship factors in the university presidency, that helps in the success of the digital transformation process. The study recommends the need to exert more effort in training and educating the staff to increase their understanding of the significance of digital citizenship as well as its contributions to the success of digital transformation, which in turn requires the development of clear strategies by the university to achieve the required aims.

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Measuring the Availability of Smart University Dimensions According to IBM's Maturity Model/ A Survey Study of a Sample of Individuals at Al-Noor Private University/ Mosul

Sep 1, 2025

Journal العلوم الاقتصادية

Issue 78

Volume 20

In the era of technology and information, these advancements have become an integral part of daily life across all practical domains, including the educational sector particularly within universities. This has led to the emergence of so-called "smart universities," which adopt modern technological approaches in managing their educational processes. The present study aims to evaluate the extent to which the essential dimensions required for transforming a traditional university into a smart university. 300 checklists were distributed at Al-Noor University College, of which 276 valid responses were received and analyzed. The study employed a descriptiveinferential methodology, utilizing the Z-test for data analysis. The findings revealed that the university achieved the highest levels of maturity in the dimensions of cloud computing and cyber security, reflecting their critical role in safeguarding vital university data and mitigating cyber security threats. Conversely, lower maturity levels were recorded in the dimensions of Internet of Things (IoT), Big Data, and Artificial Intelligence (AI), indicating somewhat limited capabilities in these areas. Accordingly, it is recommended that the university intensify its efforts to enhance performance in the dimensions with lower maturity levels, in accordance with the adopted maturity model, while maintaining the high standards achieved in the more advanced dimensions.

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Measuring the effect of Artificial Intelligence Factors on Consumer Behavior

Apr 27, 2025

Journal Researches Prospective of Journal

Volume 25

Recent years have witnessed a radical transformation in the world of business and marketing thanks to the development of artificial intelligence technologies, which have significantly impacted consumer behavior by analyzing massive amounts of data and instantly responding to their changing needs. This research aims to examine the impact of artificial intelligence on consumer behavior by analyzing the role of smart recommendations, data protection, and trust in these technologies. A quantitative approach was used to collect data from University of Nineveh employees and analyze it using Smart PLS 4 to test hypotheses. The results showed that artificial intelligence positively impacts consumer behavior with an impact factor of 0.641 and a t-value of 9.633, indicating a strong and significant impact. Data protection also showed an impact with a coefficient of 0.393 and a t-value of 3.561, while trust had a lesser impact with a coefficient of 0.262 and a t-value of 2.446. The study confirms that artificial intelligence enhances the consumer experience, but it requires balancing marketing benefits with privacy protection. The research recommends that companies optimize their marketing strategies to maximize the benefits of these technologies.

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