mohammad reza esmaili givi

Evidence-based policymaking stands at the forefront of contemporary governance, where data and evidence have emerged as indispensable allies in shaping effective and informed decisions. This article embarks on a comprehensive exploration of the challenges and critical issues encountered when data assumes the role of evidence in policy formulation. The foundation of this investigation is rooted in the extensive body of literature on evidence-based policy-making. We delve into the scholarly discourse, tracing the evolution of policy formulation from relying on intuition to being guided by empirical insights. As we navigate through this intellectual landscape, the crucial role of data as a catalyst for this transformation becomes apparent. Delving deeper, we will explore the intricacies of data and the rise of big data. Once regarded as mere numbers, data now represents the currency of the information age. Its volume, velocity, and variety characterize it, making it a powerful tool for generating evidence and formulating policies. As we explore its features, we uncover the potential of data to unlock unprecedented insights and inform governance with empirical precision. To conduct a comprehensive examination of the difficulties encountered when utilizing data as evidence in policy-making, we employ a rigorous scoping review methodology. Through meticulous screening, we have identified and analyzed 36 exemplary articles that offer invaluable insights into the multifaceted landscape of data-driven governance. These articles provide a comprehensive overview of the challenges, which can be grouped into three distinct clusters: technical challenges arising from data complexities, legal and privacy dilemmas intertwined with governance, and the formidable issues faced by policymakers. Our discussion unravels the intricate web of challenges, ranging from data quality and integration to confidentiality, ethics, and governance issues. We delve into the intricacies of data access, the fight against bias, and the challenges posed by data volume and complexity. Simultaneously, we explore the complex legal landscape of data ownership, security, sharing, and compliance. The challenges policymakers face in fostering data-driven cultures, navigating resource constraints, and communicating data-driven insights are brought to the forefront. In conclusion, our exploration sheds light on the complex challenges and crucial issues that underlie the use of data as evidence in evidence-based policy-making. This research underscores the transformative power of data in governance and emphasizes the challenges and pressing issues associated with using data as evidence in policymaking.

Knowledge management is one of the most interesting and challenging topics in management science in the new millennium. Public Library Institutions is one of the most talented organizations to implement knowledge management programs with libraries and information centers that have an educational and research environment. The purpose of this study is to identify and rank the factors affecting the establishment of knowledge management and assess the maturity and readiness of public libraries in the country and provide a model for the establishment of knowledge management in libraries.

The present study is a mixed approach. It used the hybrid method to identify the factors affecting the establishment of knowledge management in Public Library Institutions and the TOPSIS technique to prioritize effective factors, to assess the status of knowledge management maturity in public libraries from the Asian productivity maturity model and to design a model for establishing knowledge management in libraries. Interpretive structural modeling (ISM) was used in Iran and structural equation modeling (ESM) was used to confirm the general research model. The statistical population of this study is managers, administrative staff, mayors and officials working in public libraries of the country and the sample includes 21 experts (in terms of education 4 bachelors, 12 masters, 5 doctors who had 7 to 18 years of experience in public libraries) and were selected by cluster sampling. Data collection tools including library studies, semi-structured interviews, questionnaire (Knowledge Management Indicators Prioritization Questionnaire with Cronbach's alpha (0.713), Knowledge Management Maturity Assessment Questionnaire with Cronbach's alpha (0.9), Questionnaire (ISM): For the effect of each index on other indices with Cronbach's alpha (0.782) and in the structural equation questionnaire which is to design a pattern of complex and multiple relationships between indices with Cronbach's alpha (0.832)). Data analysis was performed using Excel software, TOPSIS software, and structural equation model software (PLS).

The meta-synthesized results led to the identification of 107 codes, 15 indicators and 4 main dimensions in the establishment of knowledge management. According to experts and using the Delphi method, their localization and screening was done. In the next phase, the maturity status of knowledge management of Public Library Institutions in the country was measured by the Asian productivity maturity model. After the research steps, with the interpretive structural modeling method, the leveling of knowledge management establishment indicators was done and the conceptual model was validated using the structural equation modeling method.

The results showed that technology has the greatest impact and organizational culture has the least impact on the establishment of knowledge management in Public Library Institutions in the country. Assessing the maturity status of knowledge management institution with Asian productivity maturity model with a score of 109 was in the beginning stage. Finally, the pattern of knowledge management deployment was drawn at 6 levels, of which information technology index (C3) and information systems index (C1) have the most influential level and indicators of information acquisition processes (C7) and knowledge transfer processes (C3) are with the most influential level. Finally, research suggestions were presented based on the results of reviewing the current status of the organization under study.

The purpose is to classify the components of SERVQUAL services quality in public libraries based on Kano's customer satisfaction model, prioritize them based on the Asymmetric Impact-Performance Analysis and, determining the classification of SERVQUAL components according to users’ groups.

This is an applied descriptive survey. Population included active members aged 15 and older in the five public libraries of Qaemshahr, Iran.  Stratified random sampling was used. Instruments included customer satisfaction and SERVQUAL questionnaires.  Multiple regression analysis conducted, creating two Dummy Variables of penalty and reward. SERVQUAL components were classified into three groups of: Basic, performance and excitement services. Asymmetric Impact-Performance Analysis on overall users’ satisfaction was   calculated.

Shows that accountability features of the group of basic services with high-performance, characteristics of responsiveness in the group of performance services with low-performance, and the three characteristics of physical dimensions with low performance, reliability and empathy, and attention with high-performance are in the group of excitement services. Prioritization features identified increasing and maintaining level of performance of: 1) responsiveness; 2) physical dimension; 3) responsibility; 4) reliability; and 5) empathy and attention.  Moreover, demographic features exhibited that women were more satisfied. Age, education, and history of using the library has increased users' satisfaction. With the surge of the level of users' satisfaction with the physical dimensions and reliability has increased then the level of satisfaction with empathy and attention has decreased.

This study was first to enter the literature of nonlinear analysis of users' satisfaction by Kano's model and Asymmetric Impact-Performance Analysis measuring service quality of public libraries. Nonlinear analysis enabled the determination of priority of actions based on positive/negative performance compared to linear regression coefficient. Also, disclosed the variation of level of satisfaction of diverse groups of users in terms of gender, age, education and history of use.

Today, the secret of the success of any organization is the knowledge management. Because knowledge is such, it should only be done by oneself individually. So, this causes raising different psychological concepts in knowledge management. Given the undeniable role of individuals in today's business excellence, personal knowledge management topics vs. organizational knowledge management topics are discussed. The aim of this study was to investigate the moderating role of personal knowledge management on the impact of psychological characteristics on organizational competencies in information and knowledge services.

This is an applied study with a mixed method. The sample in qualitative section consisted of ones with research experiences in the field of personal knowledge management, and in the quantitative section, the staff of central libraries of Tehran’s state universities. For this purpose, a researcher-made questionnaire with the seven dimensions of retrieving, evaluating, organizing, collaborating, analyzing, providing, and securing information was used for studying personal knowledge management, and the Neo questionnaire was used for the study of psychological characteristics, and a researcher-made questionnaire was used with the five dimensions of external information awareness, internal knowledge dissemination, effective decision architecture, organizational focus, and continue innovation for measuring organizational competencies. The reliability of the questionnaire has been evaluated by Cronbach’s Alpha, which was equal to .728. Data was analyzed by the descriptive and inferential statistics methods.

The results showed that the psychological characteristics have a direct effect on personal knowledge management and personal knowledge management has a direct effect on organizational competencies. The impact of psychological characteristics on organizational competencies was not confirmed, and the role of personal knowledge management was detected as a mediator.

According to the results, in evaluating the personal knowledge of library staff, special attention should be paid on their personalities. To achieve the desired organizational competencies, the skills of library staff should be strengthen for their personal knowledge management.

The objective of the present study is prioritization of the quality of information service centers in terms of Kano’s model and asymmetrical performance impact. This research is an applied research in terms of purpose, and is a descriptive survey in terms of data collection. A number of students at Tehran University at different educational levels, as clients of the Central Library during the educational year 1394-1395, served as the participants of the study. According to the information center of the Tehran University library, the number of clients during the period under investigation was 137,042. Using the Cochran formula, the sample size equals 375. Applying a random stratified sampling, the researcher collected 376 completed questionnaires. The collected data were analyzed through applying statistical tests, transforming the Likert scale into Kano’s model and asymmetrical performance impact formula. The results, generally indicate that the “services effect” factor, associated with the performance services category with low performance; “information control” factor associated with the category of motivational services, with low performance; while the factor “space and location of the library”, associated with basic services in high performance. Therefore, the prioritization of the measures to promote the quality of the library services, with regard to the Libqual dimensions, would be: (1) To promote the performance level of the factor “service effects” from a low- performance to a higher- performance level. (2) To promote the performance level of the factor “information control” from a low level to a higher performance level as well. (3) To sustain the performance level of the factor “space and location of the library” as it is.