نشریه پژوهش های کتابخانه های دیجیتالی و هوشمند
سال یازدهم شماره 4 (پیاپی 43، زمستان 1403)

Digital transformation in academic libraries refers to the use of modern technologies to improve access to information resources, facilitate research processes, and enhance user experience. Academic libraries, with their expertise and mindset for adopting new technologies, engage in activities such as digital preservation, digital archiving, and digital curation. Therefore, the role of academic libraries in the digital transformation of universities is highly significant. Only those universities that remain up-to-date and leverage digital capabilities will be able to achieve effective digital transformation and continue to thrive in the digital age. The aim of this research is to identify the components that constitute the conceptual framework for digital transformation leadership in academic libraries. This research is applied in nature and aims to identify the components of digital transformation leadership in academic libraries through a survey method. To identify the factors influencing digital transformation leadership in academic libraries, a fuzzy Delphi questionnaire was designed. The validity and reliability were assessed and confirmed based on the opinions of experts and the calculation of Cronbach’s alpha coefficient. The statistical population of this study consists of the managers of academic libraries in Tehran, including the University of Tehran, Alzahra University, Shahid Beheshti University, and Kharazmi University. Data analysis was conducted using Excel 2016 and its advanced functions. To accurately identify the factors influencing digital transformation in academic libraries, a fuzzy Delphi method was employed, with a consensus acceptance level of 5 for a factor and a threshold difference level of 0.2 between the two rounds of surveys. After collecting the opinions of experts, the views were aggregated, and the significance of the consensus on 50 recognized factors was examined at three levels: average, fuzzy average, and definitive average. Eleven factors that had a calculated arithmetic mean above 3 and a definitive mean above 0.5 were identified, namely: “relationships with software and information technology providers,” “defining roles and responsibilities to achieve a digital vision,” “enhancing a spirit of collaboration and participation,” “establishing clear, measurable goals and outcomes,” “relationships with suppliers and customers,” “monitoring digital actions and implementing corrective measures,” “creating mechanisms for transparency and building trust among key stakeholders,” “strengthening a sense of accountability,” “commitment to digital technology,” “relationships with management consultants,” and “increasing the speed of decision-making,” were confirmed by the experts. The dimensions constituting the conceptual framework of digital transformation leadership were identified and examined across five dimensions: “Planning and Coordination,” “Monitoring and Control,” “Digital Partners,” “Digital Leadership and Management,” and “Digital Culture.” Based on the results, eleven influential factors were identified, which are components of digital partners, planning and coordination, digital leadership, and monitoring and control. Notably, no factors from the component of digital culture were observed.

The goal of many startups is rapid growth and market expansion, but previous studies have rarely analyzed the causal configurations of factors affecting their success. The aim of this study was to present a configuration analysis of the success factors in product development of startups with a digital entrepreneurship approach. The research method was descriptive-exploratory and conducted in a survey manner. The statistical population of the study included all startups active in the field of digital technology in the Iranian entrepreneurial ecosystem that have developed a specific product to the market launch stage. From this population, using a simple random sampling method, 190 single-product startups were selected, whose selection criteria were activity in the digital field and focus on developing a specific product. The research constructs, including dimensions of product development with a digital entrepreneurship approach in startups, which were obtained based on qualitative structural-interpretive analysis and MICMACK, include risk variables (entrepreneurial innovation and competitor analysis); influential variables (fundamental foundations, ideation and validation, development and optimization); regulatory variables (commercialization and marketing, environmental factors, focus on agility, digital leadership, development of the entrepreneurial ecosystem); secondary levers (user experience) and influential ones (scalability and sustainability, digital ecosystem integration). The required information was collected using a researcher-made questionnaire based on the Likert scale. The findings show four configurations of success: Configuration 1: Emphasizes the central role of digital leadership and organizational agility as key success factors. This includes digital leadership attributes such as support, technical knowledge and adaptability, alongside organizational agility components like data-driven decision-making and rapid response to change. Additionally, effective digital strategies are critical. Configuration 2: Highlights the significance of innovative ideas and competitor analysis, often without prioritizing sustainability. In certain scenarios, product-centric and market-centric approaches may take precedence over customer-centricity. Success in this configuration can occur without a focus on user experience, particularly in emerging markets (like groundbreaking technologies) or B2B products, where buyers prioritize technical functionality over user experience. Configuration 3: Focuses on cost optimization and collaboration with platforms. Key strategies include leveraging automation, reducing research and development expenses and partnering with accelerators and research labs as essential conditions for product development. Configuration 4: Centers on technology-driven approaches and risk management, emphasizing advanced technology and environmental risk management as crucial factors, regardless of regulatory influences. Based on the findings of this study, future research should explore the impact of various digital leadership styles on the development of dynamic digital capabilities in startups, analyze how organizational agility contributes to the long-term sustainability of startups across different industries and investigate specific contexts where neglecting user experience can lead to success—such as in B2B markets with technical buyers or pioneering products in their early phases.

With the advancement of modern educational technologies, augmented reality (AR) has emerged as an effective tool for enhancing the teaching and learning process. Secondary school teachers, as key agents in the success of education, play a critical role in the acceptance and integration of such technologies. The aim of this study is to predict the adoption of augmented reality technology in secondary school teacher education based on the perceived usability model, digital literacy, and learning style.This research is a descriptive-correlational study. The statistical population included 1,098 secondary school teachers in Sari city. A sample of 250 teachers was selected using stratified random sampling. Data were collected using standardized questionnaires whose validity was confirmed by experts and reliability was verified through Cronbach’s alpha. Data analysis was performed using SPSS software through multiple regression and path analysis. The results showed that perceived usability, digital literacy, and learning style significantly influenced teachers' adoption of augmented reality technology. Additionally, digital literacy acted as a facilitating factor in the relationship between perceived usability and technology adoption. Learning styles also contributed to differences in the level of technology acceptance. The findings of this study can contribute to the development of educational programs and the enhancement of AR technology acceptance in teacher education, ultimately leading to improved instructional quality in secondary schools.

Today, the information age has entered into all aspects of people's daily life, whether willingly or unwillingly. The automotive industry is no exception to this rule. Private cars produced in today's market include all kinds of new technologies. One of the important aspects of modern cars is the in-car information-entertainment systems. On the other hand, the daily progress and development of the information age has also brought about changes in libraries and information science; the epidemic of digital libraries is one of the most significant examples of these changes. The main goal of the current research is to present a new model and theory for implementing a digital library in the information-entertainment system of a private car, taking into account the information needs of its passengers as the axis. This research is applied in terms of purpose, and grounded theory research method was used to carry it out. This research is practical in terms of purpose, and data base theory research method has been used to do it. In this research, 10 automotive engineering experts and information management experts have been used to answer semi-structured interview questions. To analyze the data, the method of constant comparison analysis was used during three stages of open, central and selective coding according to the method of Strauss and Corbin.The findings of this research state that the theory is in no way like the answer to the mathematical equations that can be discovered and is always the same. The theory is not a place waiting to be discovered. This technology shows itself in the field of information-entertainment systems of private cars. In such a situation, knowledge of technology transfers models and their application in practice is very important and decisive for the organization. According to the description and analysis of data and findings of the research, it is suggested to the category of technology transfer which is one of the most important topics discussed in technology management, because regardless of the degree of growth and development, an organization or country to Each case is located in one of the two positions of technology giver or receiver.

The purpose of the research is to present a proposed and practical model of dashboard management in the visualization of clinical, care and health information to improve the quality of services to patients in the health system. : This research is an applied study and has been investigated in an exploratory-mixed manner in two qualitative and quantitative parts. The meta-synthesis technique and Delphi panel were used to collect data and structural equations and Lisrel software were used to analyze the findings. The statistical population includes 12 experts and faculty members of key organizations in the health system who were selected through a questionnaire. The validity of the article is face-content and its reliability is intra-subject and based on the analysis of four indicators: Holst coefficient (0.865), p-Scott index (0.805), Cohen's kappa index (0.844) and Krappendorff alpha (0.824). In the qualitative stage, 10 main components were identified, which are: equipment management, financial resource management, visualization, human resource management, diagnosis, organizational needs assessment, time management, dashboard features, information transparency, and decision-making optimization. The result of measuring the indicators of each component is at a confidence level of 5% and the t-value is greater than 1.96, which indicates a significant correlation of the findings. This study, using coherent and categorized information using dashboard management, can be useful in improving the quality of clinical, care, and health services for patients, and in the performance and macro-decision-making in the health system, as well as a reference for future studies in this field.

Knowledge management in the organization is considered one of the most essential elements of management, which is of great importance in the age of data explosion. Organizations are continuously producing information and knowledge and without a coherent and integrated system to identify, extract, store and share that organization will never have the ability to be in the competitive market. On the other hand, in recent years, with the emergence of diverse and extensive social networks and due to the high reception of users, these tools play a fundamental role in the production and transfer of knowledge in the organization. Active users in these networks as producers and transmitters of knowledge have many indicators to evaluate. In this article, two categories of indicators including knowledge sharing and user loyalty and satisfaction indicators are used. Using multi-criteria decision-making techniques, qualitative analysis of indicators has been done. Next, using the proposed clustering method, customers (users) were clustered based on the identified indicators. Then, using artificial neural network and ideal mathematical modeling, the problem of knowledge sharing in social networks was modeled with the approach of simultaneously improving loyalty and knowledge level among users. The presented model was solved for the research data using an algorithm based on the particle swarm optimization method and the results were analyzed.