Intelligent Systems Recovery
Fereshteh Bayanlou; Zohreh Mirhosseini; Zahra Abazari
Abstract
IntroductionCybernetics, a science that emerged in the 20th century, has rapidly grown and penetrated various disciplines. Since its inception, cybernetics has experienced significant and continuous growth, with communication and the concepts of message and feedback at its core. Today, cybernetics is ...
Read More
IntroductionCybernetics, a science that emerged in the 20th century, has rapidly grown and penetrated various disciplines. Since its inception, cybernetics has experienced significant and continuous growth, with communication and the concepts of message and feedback at its core. Today, cybernetics is recognized as an independent yet interdisciplinary field, grounded in information theory and focused on methods of information processing. According to Baum (2003), the cybernetic model effectively organizes the activities of academic systems in the modern era. This model relies on complex social systems and cybernetic monitoring, where self-correction mechanisms oversee organizational functions. Consequently, individuals are not the final decision-makers; instead, continuous activities are carried out to improve different parts of the organization. The cybernetic library aims to achieve specific goals. When deviations occur, individuals or groups within the library become active to restore desired levels. The complexity of the cybernetic library also involves parts responsible for identifying adverse events and reporting them to higher levels. In this research, cybernetics refers to the optimal use of cybernetic patterns in university libraries. This study aims to provide a suitable model for the optimal use and management of system information by measuring the status of cybernetic components in academic libraries. Literature Review Zamnopoulos and Alexio emphasized that control is an inevitable part of any organization. Supervisors and colleagues highlighted the desirability of monitoring and control components, although slight differences exist in their sub-components. Regarding intra- and extra-systemic links, extra-systemic links were found to be more appropriate, with a focus needed on strengthening intra-systemic links. Hashem Beik et al. noted the status of loose and tight links at Isfahan University of Medical Sciences. The hierarchy component's sub-component scored higher, emphasizing its importance in the cybernetic model. Nechansky demonstrated that cybernetic structures can adapt to their environment. In decision-making, the decision-making resources sub-component scored higher. The effective management and leadership component, examined in five dimensions, showed that participatory leadership was more appropriate than other dimensions. Brinbaum stressed the importance of interaction among different academic systems and recognized the coordinating role of leadership in academic libraries. MethodologyThis quantitative study investigated the status of cybernetic model components for optimal management of university libraries. The statistical population included experts and specialists in information science and epistemology, as well as managers of central libraries at type 1 medical sciences universities in Iran. A questionnaire was used to collect data from 97 professors and librarians, and the results were analyzed. Results The study included 42% men and 58% women. Among the participants, 25% had a bachelor's degree, 45% had a master's degree, and 30% had a doctoral degree. Most respondents (65%) had over ten years of work experience, while only 3% had less than ten years. The average scores for the monitoring component in the structural and social dimensions were 29.43 and 33.14, respectively. The system link component scored 18.41 for extra-system links and 14.52 for intra-system links. The hierarchy component scored 11.23 for the divided system dimension and 11.66 for the hierarchy dimension. The interaction quality component scored 11.78 for the non-linear dimension and 11.53 for the causal dimension. The decision component scored 14.91 for decision resources, 15.07 for decision type, and 14.73 for decision criteria. Discussion The findings indicate that the monitoring and control components in the cybernetic management model of academic libraries are appropriate and have a tangible impact on the model's structure. Extra-systemic links were found to be more effective than intra-systemic links, highlighting the need to strengthen the latter. The hierarchical sub-component scored higher within the hierarchy context, and participatory leadership was more effective than other dimensions. Conclusion The research findings suggest that the components of the cybernetic model are well-placed in the libraries of medical sciences universities. This reflects the awareness of university library managers regarding the structure, goals, tasks, services, and functions of academic libraries. However, this knowledge is not equally appropriate across all dimensions, leading to an imbalance in the state of dimensions and components. Consequently, the progress and effectiveness of the models are not as impressive. Therefore, it is recommended to focus more on the social role of library users in interactions and guidance, and to maintain a balanced approach to the quantitative and qualitative growth of all dimensions in library management.
Information Storage and Retrieval
Nahid Safari; Zohreh Mirhosseini; Zahra Abazari
Abstract
This study investigated the information seeking behavior of art researchers in the process of searching for information on the web. This study is semi-experimental. It was conducted using observation, interview, and statistical analysis methods. The statistical population consisted of 48 art researchers ...
Read More
This study investigated the information seeking behavior of art researchers in the process of searching for information on the web. This study is semi-experimental. It was conducted using observation, interview, and statistical analysis methods. The statistical population consisted of 48 art researchers who were selected through purposive sampling. Data were collected through Camtasia software to record the search process, semi-structured interviews to examine cognitive strategies, and a standard information seeking behavior questionnaire to measure related variables. Two search tasks were assigned to the participants: easy (finding a Latin article about Iranian art) and difficult (finding a related job opportunity abroad), and data analysis was performed using the Chi-square test. The findings showed that in easy searches, participants mainly used faster and more superficial strategies such as extensive use of the Google search engine (with a frequency of 976) and formulating search terms from general to specific. In contrast, in difficult searches, researchers resorted to more advanced analytical methods such as repeated modification of search terms, use of Boolean operators, and reference to specialized databases. The statistical data analysis showed that the total number of strategies adopted in the second task was 976 in the easy style and 959 in the difficult style, for a total of 1935 strategies, indicating that the level of complexity of the search tasks has a direct impact on the strategies used by researchers. This highlights the need to optimize information retrieval systems based on the needs of users and the level of complexity of their searches.
