iraqi journal for information

This research aims to identify the extent to which the Koha project relies on the Planning, Evaluation, and Review (PERT) technique in implementing its tasks and activities, the efficiency and effectiveness of implementing the necessary project timelines according to their chronological sequence, and the impact of PERT in identifying obstacles that lead to reduced project implementation effectiveness. The research adopted a case study methodology by collecting and analyzing the necessary data to obtain the required information for the study, as this approach is suitable for the nature of the research. The research population and sample consisted of the staff responsible for implementing the Koha project at the Central Library of Al-Mustansiriya University. The data collection tools included observation, on-site presence, and a checklist comprising (15) items used to measure the effectiveness of project implementation. A number of findings were reached, including:
1-It was found that the staff tasked with implementing the Koha system at the Central Library of Al-Mustansiriya University lacked the necessary expertise in library and information science or computer science to possess the programming skills required to operate the system and resolve operational issues. This necessitated their reliance on specialists from the Information Technology Center, resulting in a weakness in the project's implementation and its failure to meet the needs of library users.
2-The Koha project suffered from poor scheduling, specifically the lack of a defined timeline for its implementation. This was due to administrative and financial obstacles, including the failure to provide the necessary resources within a specific timeframe. The availability of these resources depended on the availability of funding and approval from the university president, hindering the scheduling of information projects undertaken by the library.
The most important recommendations based on the research findings are:
1-Developing a plan to study the requirements for investing in the Koha system to carry out all library operations, such as acquisitions, circulation, and periodicals, as these operations are the most important due to their direct connection to meeting users' needs and are therefore fundamental to improving the project's implementation efficiency.
2- Providing a sufficient number of qualified and specialized staff to activate all the capabilities that the Koha system offers to the library and its users.

This study aims to examine the impact of incentive systems on employee performance in university libraries and their role in achieving a competitive advantage for these libraries. The research adopts a descriptive-analytical approach, with data being collected through surveys and interviews with employees from various university libraries. The data collection tools include specially designed questionnaires to assess the effectiveness of incentives and their influence on performance, as well as interviews with library administrators. The findings indicate that incentive systems play a significant role in improving job performance and increasing job satisfaction among employees. Additionally, it was found that incentives contribute to enhancing the competitive advantage of university libraries by improving service quality and fostering innovation in service delivery. One of the key recommendations of the study is the adoption of diverse incentive systems, including both material and moral incentives, to meet the needs of employees and motivate them, while also updating these systems to align with the rapid developments in the field of information technology.

The research aims to study the role of artificial intelligence in improving the quality of higher education, identifying the challenges facing its implementation in higher education institutions, and analyzing the differences in faculty members' perceptions based on academic title. A descriptive approach was followed using survey studies, selecting a stratified random sample of 206 faculty members from the College of Engineering. To achieve the research objectives, a questionnaire consisting of 15 items distributed over five axes was administered. The results showed a high level of agreement on the role of artificial intelligence in improving the educational process, teaching quality, enhancing scientific research, and developing student skills. The challenges associated with the application of artificial intelligence in higher education were also identified. The study recommended the need to integrate artificial intelligence applications into curricula and organize training courses for faculty members to enhance the use of these applications

The research aims to identify the negative impact of using artificial intelligence applications in scientific research from the point of view of faculty members and its impact on the accuracy and reliability of information in scientific research, as well as to monitor the most important research skills that are expected to be negatively affected by the use of artificial intelligence applications in scientific research. Then, measure the impact of using artificial intelligence applications in scientific research on the researcher’s identity in interpreting and analyzing facts. The researcher adopted the case study approach and used the questionnaire as a tool for collecting data and adopting the three-point Likert scale. (54) Faculty members who hold the title of professor and assistant professor were selected to survey their opinions. The number of returned questionnaires that were actually answered was (42) questionnaires, while the number of questionnaires that were excluded was (12) questionnaires because they were not answered. The study reached several conclusions, the most important of which are: The use of AI applications in scientific research causes academic anxiety among faculty members due to the increasing reliance on these applications without systematic scientific scrutiny and verification. Furthermore, the use of AI applications in scientific research may conflict with academic principles and values, such as integrity and academic integrity. The most important proposals included: Encouraging researchers to conduct creative research that highlights their research skills. There is no harm in relying on these applications as auxiliary tools that enhance scientific research, rather than tools for gathering basic information. Furthermore, emphasizing digital awareness among the academic community, especially graduate students, and educating them about the negative effects of some incorrect practices of AI applications in scientific research.

The current research aims to identify the role of artificial intelligence techniques in analyzing the needs of users in university libraries, and to design a smart recommendation system model based on request data and user behavior to better understand their needs with greater accuracy. It also seeks to measure and analyze the impact of applying the recommendation system on the quality and efficiency of services provided to users. The research employed an experimental methodology by conducting a trial on a group of 240 users from the Basic Education College Library at Al-Mustansiriyah University. The study concluded several results, including that there were sources borrowed multiple times by users that were not among the previously recommended sources, indicating a gap between the actual needs of users and what is available. The average system evaluation ratings ranged between 4.00 and 4.28 on a 5-point scale, indicating high satisfaction and system effectiveness. Approximately 83% of users (combined \"Strongly Agree\" and \"Agree\") confirmed that the system helps them find sources matching their interests. The research also presented several recommendations, including focusing on developing smart recommendation systems based on analyzing user behavior to meet their real needs, encouraging active user participation by regularly evaluating the sources they use to improve recommendation accuracy, and continuously utilizing digital data to monitor and analyze user trends and needs to update resources accordingly.

The study aimed to identify the reality of summer training for students in the Department of Information Technology and Library Science at the Technical Administration Institute - Nineveh at the Northern Technical University. To achieve the study objectives, a descriptive-analytical approach was used, and a questionnaire was developed as a tool for collecting information from students. The questionnaire included four axes: the timing and location of summer training, which contained (9) questions; skills development, which contained (5) questions; academic vocabulary, which contained two questions; and the scientific and practical supervisors' axis, which contained (5) questions. The study yielded a set of results, the most important of which was that the axis related to the timing and location of training achieved an approval rate of (71.4%), a neutral rate of (21.3%), and a disagreement rate of (7.3%). The study recommended the necessity of teaching the practical training course over two full years, and reconsidering the training plan in terms of content and number of course hours.