Developing a model of digital transformation of university libraries based on meta-synthesis
Abstract: Purpose The purpose of this study was to develop a model for the digital transformation of university libraries based on meta-synthesis. Design/methodology/approach The approach of this research was qualitative and used the Sandelowski and Barroso’s (2007) seven-step meta-synthesis method to systematically review the literature. The statistical population of the research includes all the scientific publications related to the foundations and dimensions of the digital transformation of university libraries, co… Show more
Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Cited by 1 publication
References 22 publications
Designing the digital transformation model of public university libraries in Iran based on Delphi method
Purpose This paper aims to design the digital transformation model for university libraries based on the Delphi method using the Iranian public university libraries as the study case. Design/methodology/approach A qualitative approach and the Delphi method were used to conduct the current research. In total, 15 experts in the field of digital transformation of libraries were selected through targeted and snowball sampling. They were asked to complete and finalize items identified from previous research to design a digital transformation model for public university libraries in Iran during successive Delphi rounds. The Delphi method was completed after the third round, upon reaching a favorable consensus. Findings The findings obtained from the research led to the presentation of the model in 7 main dimensions, 25 concepts and 139 components. Meanwhile, the concept of “data-centered” and changing the concept of “optimal reorganization of library resources” to the concept of “acquisitions and optimal reorganization of library resources” are among the new achievements of this research. In addition, the components of “promoting data-oriented thinking in the decision-making of library managers,” “encouraging employees to use and analyze data” and “planning to increase the digital literacy of librarians” were added to the concept of “data-oriented”; the components of “having knowledge of digital collection and its rules for the correct identification and evaluation of resources,” “familiarity with digital metadata standards and data transfer standards” and “familiarity with open access platforms” were added to the concept of “librarian knowledge competencies”; and the components of “planning, coordination,” “monitoring and evaluating the progress of library digital transformation projects” and “collaboration and networking with other academic library managers” in the concept of “library manager’s management skills”; the components of “identification of new digital formats and resources,” “creation, preparation and accessibility of game scientific content and free in the library,” “updating the resource organization policy with new organization concepts and rules” and “updating the library collection development policy based on the information needs of users” were added to the concept of “acquisitions and optimal reorganization of library resources” and “Web 2.0 technologies” component were added to the concept of “use of digital technologies in the library.” Research limitations/implications This study is limited to Iranian public university libraries, and the findings may not be directly transferable to other contexts. In addition, the Delphi method, while effective for expert consensus, relies on subjective opinions and may not fully capture the complexities of digital transformation. Future research could explore the implementation challenges of the proposed model and its long-term impact on library services and user satisfaction. Despite these limitations, the study offers a valuable foundation for digital transformation initiatives in Iranian university libraries and can inform policy decisions and resource allocation. Practical implications The proposed digital transformation model offers practical guidance for Iranian university libraries. By implementing the model, libraries can enhance their services through data-driven decision-making, improved resource management and the adoption of new technologies. Librarians can develop the necessary digital competencies to effectively manage digital collections and engage with users. In addition, the model emphasizes the importance of collaboration among library managers, fostering knowledge sharing and best practices. Ultimately, the practical application of this model can lead to more efficient, user-centered and innovative library services. Social implications The proposed digital transformation model for Iranian university libraries holds significant social implications. By enhancing access to information and resources, it can democratize knowledge and foster innovation. Increased digital literacy among librarians will equip them to better serve diverse user communities. However, equitable access to digital services must be ensured to prevent the widening of the digital divide. The model’s focus on data-driven decision-making can improve resource allocation and user satisfaction. By promoting collaboration and knowledge sharing, libraries can become more central to their communities and contribute to regional development. Ultimately, the success of this model depends on addressing potential challenges such as privacy concerns, digital security and the need for ongoing training and support. Originality/value The proposed model, with its 7 main dimensions, 25 concepts and 139 components, provides a roadmap for enhancing library services, resource management and decision-making. By emphasizing data-centered approaches, promoting digital literacy among librarians and integrating Web 2.0 technologies, libraries can adapt to the evolving needs of users. Collaboration and networking with other academic library managers can foster knowledge exchange and collective problem-solving. By implementing the proposed model, libraries can adapt to changing user needs, enhance services and contribute to the academic community’s success. However, implementing this model requires addressing challenges related to equity, privacy and accessibility, ensuring that all users benefit from the digital transformation. Overall, this research serves as a valuable resource for university library managers, guiding them toward effective digital adaptation and improved user experiences.
Designing the digital transformation model of public university libraries in Iran based on Delphi method
Purpose This paper aims to design the digital transformation model for university libraries based on the Delphi method using the Iranian public university libraries as the study case. Design/methodology/approach A qualitative approach and the Delphi method were used to conduct the current research. In total, 15 experts in the field of digital transformation of libraries were selected through targeted and snowball sampling. They were asked to complete and finalize items identified from previous research to design a digital transformation model for public university libraries in Iran during successive Delphi rounds. The Delphi method was completed after the third round, upon reaching a favorable consensus. Findings The findings obtained from the research led to the presentation of the model in 7 main dimensions, 25 concepts and 139 components. Meanwhile, the concept of “data-centered” and changing the concept of “optimal reorganization of library resources” to the concept of “acquisitions and optimal reorganization of library resources” are among the new achievements of this research. In addition, the components of “promoting data-oriented thinking in the decision-making of library managers,” “encouraging employees to use and analyze data” and “planning to increase the digital literacy of librarians” were added to the concept of “data-oriented”; the components of “having knowledge of digital collection and its rules for the correct identification and evaluation of resources,” “familiarity with digital metadata standards and data transfer standards” and “familiarity with open access platforms” were added to the concept of “librarian knowledge competencies”; and the components of “planning, coordination,” “monitoring and evaluating the progress of library digital transformation projects” and “collaboration and networking with other academic library managers” in the concept of “library manager’s management skills”; the components of “identification of new digital formats and resources,” “creation, preparation and accessibility of game scientific content and free in the library,” “updating the resource organization policy with new organization concepts and rules” and “updating the library collection development policy based on the information needs of users” were added to the concept of “acquisitions and optimal reorganization of library resources” and “Web 2.0 technologies” component were added to the concept of “use of digital technologies in the library.” Research limitations/implications This study is limited to Iranian public university libraries, and the findings may not be directly transferable to other contexts. In addition, the Delphi method, while effective for expert consensus, relies on subjective opinions and may not fully capture the complexities of digital transformation. Future research could explore the implementation challenges of the proposed model and its long-term impact on library services and user satisfaction. Despite these limitations, the study offers a valuable foundation for digital transformation initiatives in Iranian university libraries and can inform policy decisions and resource allocation. Practical implications The proposed digital transformation model offers practical guidance for Iranian university libraries. By implementing the model, libraries can enhance their services through data-driven decision-making, improved resource management and the adoption of new technologies. Librarians can develop the necessary digital competencies to effectively manage digital collections and engage with users. In addition, the model emphasizes the importance of collaboration among library managers, fostering knowledge sharing and best practices. Ultimately, the practical application of this model can lead to more efficient, user-centered and innovative library services. Social implications The proposed digital transformation model for Iranian university libraries holds significant social implications. By enhancing access to information and resources, it can democratize knowledge and foster innovation. Increased digital literacy among librarians will equip them to better serve diverse user communities. However, equitable access to digital services must be ensured to prevent the widening of the digital divide. The model’s focus on data-driven decision-making can improve resource allocation and user satisfaction. By promoting collaboration and knowledge sharing, libraries can become more central to their communities and contribute to regional development. Ultimately, the success of this model depends on addressing potential challenges such as privacy concerns, digital security and the need for ongoing training and support. Originality/value The proposed model, with its 7 main dimensions, 25 concepts and 139 components, provides a roadmap for enhancing library services, resource management and decision-making. By emphasizing data-centered approaches, promoting digital literacy among librarians and integrating Web 2.0 technologies, libraries can adapt to the evolving needs of users. Collaboration and networking with other academic library managers can foster knowledge exchange and collective problem-solving. By implementing the proposed model, libraries can adapt to changing user needs, enhance services and contribute to the academic community’s success. However, implementing this model requires addressing challenges related to equity, privacy and accessibility, ensuring that all users benefit from the digital transformation. Overall, this research serves as a valuable resource for university library managers, guiding them toward effective digital adaptation and improved user experiences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
Contact Info
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Product
Resources
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.
