Responsibility evaluation model of Iranian university library services

Purpose : The purpose of this study is to "design a model for evaluating the responsiveness of Iranian university library services". Methodology: In this research, a qualitative model for evaluating the responsiveness of library services in the university libraries of the country was developed using a qualitative method. The study population consisted of 15 university library managers and librarianship experts who were selected by snowball method. Semi-structured interviews were used to collect data in this study. Findings: according to the weight obtained in the coding stages, user satisfaction indicators, employee information literacy, use of service innovations, application of technology, service delivery as an underlying process, access to information, holding training courses In line with the goals and continuous and regular assessment of service quality, they were able to gain the most weight. In order to design the relevant model, 9 components were identified, which are 1- Leadership 2- Policy 3- Employee Outcomes 4- User Outcomes 5- Employees 6- Processes 7- Community Outcomes 8- Key Performance Outcomes and 9- Partnerships and Resources Conclusion: According to the designed model, it seems that the components of leadership, policy and strategy, as well as processes will affect employees, partnerships and resources, and thus affect the results of employees and users. The results of the model also show that the results of employees and users affect the results of the community and ultimately the key results of performance. This model is useful for comparing the responsive quality of a library service with other academic libraries

Conceptual Modell of Efficient Market of Databases in Iran

Purpose: The main purpose of this article is conceptual modeling of market efficiency of information databases, there are 3 main questions in this article: 1) what are the components of the efficient market? 2) Is the database markets an efficient market? 3)  How is the mental model of the efficient market databases? Methodology:  In order to achieve that, summarizing content analysis techniques was used by reviewing literatures during the two-step analysis, and coding processes extracted the main components of efficient markets, then provided a check list from component and sent to business unit managers of 9 major databases. Finding: We found that fourth categories for information database efficient markets: Linearity is most important and then to order, are logic and rationality, and Information-centric, trading volume reached fourth place, so we can say the information database markets are efficient, and findings of check list showed that the market for databases can be regarded as efficient markets. Results: and therefore we traced the conceptual model of efficient markets in Information Databases

Information economy based on knowledge organization systems, with emphasis on Folksonomy: dissertation of academic libraries

Purpose: Information organization have been a way to facilitate information retrieval. Thus, different knowledge organization systems have been developed over the years. In today's world information and knowledge based economy are the competitive advantage of organizations, and since that knowledge organization systems are one of the pillars of the economy advantage, so this paper sought to investigate the two knowledge information systems: Dewey decimal system to represent the traditional systems and modern systems of representative Folksonomy, in economy advantage in libraries. Methodology: The study sample of this paper is 4800 thesis of an academic library, and this research method is the comparative method, based on the value of information formula. Results: The results of this study indicate that Folksonomy system is much more economical than Dewey system. This article is an original study has not been published before in any other publication. So Folksonomy is a economical knowledge organization system

Predicting the type of road accidents based on air temperature in Iran: A case study of roads in Qazvin province

This study investigates the relationship between ambient temperature, weather conditions, and types of road accidents in Qazvin province, Iran. The research addresses a significant societal challenge of road accidents, particularly in developing countries like Iran. The objectives are to analyze the correlation between temperature and accident types and to develop a predictive model using data mining techniques. The study employs a quantitative approach, analyzing over 15,000 accident records from 2010 to 2020. The findings reveal a connection between the temperature variable and the type of road accidents as well as weather conditions. Additionally, data mining analysis identifies a predictable pattern among temperature variables, types of road accidents, and weather conditions. Implications of the study underscore the importance of considering temperature and weather conditions as secondary factors influencing accidents. The predictive model can aid decision-makers in formulating effective strategies to reduce accidents. Understanding the relationship between temperature, weather, and accident types enables the design of targeted interventions to enhance road safety. This research contributes valuable insights to accident reduction efforts and emphasizes the significance of addressing environmental variables in road safety planning and policy-making.Moreover, the results of the data mining pattern analysis indicate that car overturning accidents in various weather conditions are the primary type of accidents, followed by chain accidents. However, the types of accidents vary based on different weather conditions and temperatures. The study highlights the intricate connection between weather conditions, temperature, and types of road accidents. By utilizing data mining techniques, the research provides a predictive model for accident patterns, offering valuable insights to enhance road safety strategies