International Journal of Information Science and Management (IJISM)

Abstract

Abstract The current study investigates using the COBIT (Control Objectives for Information and Related Technologies) framework in the enterprise architecture of the Iran Public Libraries Foundation. COBIS serves as a comprehensive framework for the management and governance of IT. COBIT helps organizations improve IT performance and realize their strategic goals, and the Enterprise Architecture (EA) is a strategic approach to align organizational components with strategic goals. Analysis, planning, design, and implementation help organizations optimize their structure and operations to achieve present and future objectives efficiently, driving digital transformation: three methodologies- eta-synthesis, Delphi, and analytical-exploratory surveys- are employed in this applied study. Using Delphi, a researcher-constructed questionnaire was given to 20 selected professionals in two stages. This resulted in the selection of 90 categories for the questionnaire construction. Accordingly, the questionnaire validity was evaluated, and the final version, including 48 items, had a content validity index above 0.79 and a content validity ratio over 0.62. Cronbach's Alpha Coefficient, which was employed to determine the reliability, proved to be 0.758. Cluster sampling was implemented in five provincial stages to guarantee sample variety from 1,836 professionals and librarians. 241 out of 638 librarians working at the main libraries were chosen randomly based on Cochran's technique. Out of them, 240 participants answered the questionnaire. The results demonstrated that the relational dimension (0.93), process dimension (0.95), and structural dimension (0.94) all had correlation coefficients for IT governance in business design. Professionals ranked business, information, technology, and applications according to their influence on organizational levels, revealing notable variations among the elements of each dimension. In summary, the success of the structural equation model of IT governance in enterprise architecture in improving organizational performance is confirmed by its robustness and strong fit.
 
 

Abstract  This study aims to explore the issues, factors, and outcomes of Iran's accession to international copyright treaties, offering practical recommendations. The research uses a qualitative approach with grounded theory methodology. Participants included experts and activists from various industries such as publishing, music, art, software, law, and cultural managers. Initially, three experts were selected, with more participants recruited through snowball sampling until saturation was achieved at 15 participants. Data was gathered through interviews, transcribed, and analyzed using MAXQDA software with coding techniques. A total of 234 codes relating to copyright treaties were identified, resulting in 123 concepts and 24 categories. Key aspects of Iran's accession include the risks of non-participation, obstacles to accession, infrastructure preparation, benefits of participation, and global cultural image enhancement. While initial costs may rise, long-term gains include increased investment, technology transfer, professionalization, WTO accession, global market presence, cultural industry growth, international relations influence, and enhanced cultural image. To mitigate short-term challenges, recommendations include infrastructure readiness, learning from others' experiences, and meeting accession prerequisites. Iran's accession to international copyright treaties is pivotal for the growth of its cultural and artistic sectors. However, given the prevailing sanctions, immediate participation could adversely impact this industry and curtail access to creative works. Consequently, a fundamental precondition for Iran's joining such treaties is granting an exemption from relevant international sanctions.
 
 

Abstract  
This research is essential to identify and evaluate scientific products, compare the scientific map to convergence, and identify interdisciplinary fields in health Information management to make decisions and policies. This research is applied, and in terms of approach, it is a scientometric research type, and based on data collection, it is a descriptive research type. The statistical population of the current research is all the articles published by researchers from around the world from 2021 to 2023 in the "Web of Science" database. Many scientometric software programs have been used to analyze data and draw a scientific map. The findings show that the most productive fields of health Information management in the world are the fields of management, mental health, care, health care, information, health, and COVID-19. The findings show emerging topics that have a short history and high frequency and include the following topics: Health literacy, digital health, health education, medical informatics, machine learning, Artificial intelligence, Telemedicine, and information management. The comparison of scientific products shows that many emerging and interdisciplinary fields in health information management are being formed.
 
 

Abstract  
This review examines the literature on university-industry collaboration (UIC) and research commercialization in Australia, focusing on benefits, challenges, and strategies for enhancement. A structured review of 73 articles published between 2000 and 2024 was conducted using extensive database queries and targeted searches in specialized journals. The findings reveal that significant challenges persist while Australia has made progress through initiatives such as Cooperative Research Centers, University Commercialization Offices, and University Accelerators. These include cultural differences between academia and industry, resource constraints, and the need for more effective policy frameworks. This review identifies key strategies for improving UIC, including organizational restructuring, policy reforms, and educational initiatives. Emphasis is placed on balancing commercial outcomes with broader societal benefits, refining impact measurement methods, developing place-based innovation systems, and supporting academic entrepreneurship. Several research gaps are highlighted, such as the need for discipline-specific collaboration models, evaluations of policy effectiveness, and regional innovation ecosystems. The article offers recommendations for government, universities, and industry stakeholders, including developing more flexible funding models, enhancing commercialization support structures, and creating simplified collaboration frameworks. This review contributes to the field by thoroughly analyzing the UIC and research commercialization landscape in Australia and suggesting directions for future research and practice.
 
 

Abstract  
The critical role of knowledge management in healthcare is underscored by the adverse effects that can result from the gap between knowledge production and its practical application, particularly for patients. This study aims to evaluate the current state of healthcare knowledge management by conducting a citation and co-authorship analysis of research articles in this domain. Scientific publications indexed in the Scopus database from 2013 to 2023 were examined. VOSviewer software was employed for co-citation, co-authorship, and keyword co-occurrence analyses. In contrast, Excel software evaluated publication output, citation counts, and average citations per article. The findings reveal that 2018–2019 marked the peak period for scientific output in this field. Graham I.D. emerged as the most experienced and productive author. Regarding international collaboration, the United States and Canada demonstrated the highest cooperation and citations among the countries analyzed. These insights offer valuable guidance for policymakers, planners, and researchers in shaping scientific and educational strategies for healthcare knowledge management.
 
 

Abstract  The study of agricultural economics has evolved significantly over the years, with various research areas and subfields emerging. This study aims to map the knowledge structure of agricultural economic studies using co-word analysis. A total of 21,730 articles published between 1985 and 2022 in agricultural economics were retrieved from the Web of Science database. The titles and abstracts of these articles were analyzed using VOSviewer software to create a map of the most frequently occurring terms. The results showed that in terms of frequency, the keyword “agriculture” had the highest frequency, and in terms of co-occurrence, the two keywords “poverty” and “panel data” had the highest frequency. The results of the co-word analysis showed that the research areas of agricultural economics studies were divided into six main clusters: (1) technology adoption, (2) demand, (3) agricultural policy, (4) trade and markets, (5) productivity and efficiency, and (6) risk. This analysis provides a comprehensive overview of the knowledge structure of agricultural economics and can guide future research and policy development in this area.
 
 

Abstract  
Recognizing the complexity of digital capabilities (DC) is critical in the evolving digital environment. This study explores the conceptualization, dimensions, and strategic impact of DC on organizations by adopting a systematic literature review (SLR) methodology. The study identifies key components of DC, including digital culture, infrastructure, and skills, as important drivers of organizational innovation, competitiveness, and performance. Through an integrative approach, the study analyzes articles published in high-impact journals between 2014 and 2022, focusing on the role of digital maturity, transformation, and innovation. The findings reveal that although DC contributes to organizational performance, other factors often mediate its effects. Practical insights emphasize that organizations can enhance their resilience and competitive advantage by strategically developing DC. The study offers a comprehensive framework for understanding DC and highlights future research directions to expand the field further.
 
 

Abstract  
Throughout the evolution of scientific research, various types of populism have been identified. One of the critical terms in the scientific research lexicon is scientific populism, which refers to instances that extend beyond the usual plagiarism. Scientific populism is often associated with scientific immorality and deceptive practices in scientific environments. Given the prevalence of research fraud and immoralities in academic settings, this study aims to introduce and explain the dimensions and characteristics of scientific populism as a new concept. This study employed a qualitative method and was grounded in theory. The research population included the top Iranian researchers listed in the Essential Science Indicators. Participants were selected through sequential snowball sampling, and the data were collected through in-depth interviews. Findings were presented based on the participants’ perception, understanding, and interpretation, causal conditions, intervening conditions, strategies, and the consequences of scientific populism. To this end, the data were divided into codes and themes. The resulting themes were then used to extract related categories and subcategories associated with the phenomenon. Results showed that the process of scientific populism can be understood based on logical principles, because the anomalies in the scientific and academic settings originate from factors such as disbelief in the system of creation, diminution of the principles of research ethics, lack of an intelligent system for detecting violations in scientific productions, dominance of personal interest over regulations and rules, inefficient employment regulations, poor review and assessment protocols in some journals, and resort to scientific immorality to gain promotion.
 

Abstract  
Considering the increasing importance and gradual development of research on collaborative information behavior (CIB), this study aims to investigate the current intellectual structure of knowledge on this topic, providing researchers with a basis for its future direction and development. Hence, co-word analysis was conducted on documents from Web of Science and Scopus. The network structure of the most frequent keywords was visualized using VOSviewer software. A hierarchical clustering algorithm was used to form the square matrix comprising frequently repeated keywords. To do so, SPSS software, Ward’s method, and Squared Euclidean distance method were employed, and clusters and co-word dendrogram of keywords were drawn. Furthermore, network characteristics of the co-word matrix, including centrality and density, were analyzed using UCINET software. Accordingly, quadrant and coefficient matrices were created for each cluster, centrality and density were calculated, and a strategic diagram was eventually drawn. The study comprised 316 documents published between 1992 and 2023. The most frequent keyword was "Collaborative information," and the most common co-word pair was "Collaborative Information**Information Use." Nine clusters emerged, encompassing topics such as computer-supported cooperative work, collaborative searching, system design, professional contexts, social Q&A, and collaborative learning. However, these clusters were largely undeveloped, marginal, and immature, reflecting the field's relative youth, unstable terminology, and secondary treatment in research. The findings underscore the need for further research on CIB as a central topic of the study to deepen our understanding of its diverse aspects.
 

Abstract  
This study investigated ICT skills and information literacy skills as variables predicting OPAC usage among law undergraduates studying in Nigeria. A research design involving a survey was adopted, incorporating a quantitative approach using a sample of 286 law undergraduates derived from a two-stage sampling procedure. A well-structured questionnaire was used to collect the data. Pearson Product-Moment Correlation (PPMC) and multiple linear regression were the inferential statistics used in the analysis of the study’s data. The results of the study demonstrated that of the independent variables, ICT skills were the best predictor of OPAC usage (independent variable). Furthermore, only two indicators of ICT skills —namely, the ability to process information and collaborate —had a significant individual influence on OPAC usage. The study recommends that higher institutions could enhance the ICT skills training of law undergraduates through intentional programs, while incorporating practical activities that will improve information literacy skills.
 
 

Abstract Entrepreneurship is an innovative and creative activity.  Entrepreneurship is achieved by identifying, evaluating, and exploiting opportunities to create specific products. The present study aimed to analyze content structure of Social Entrepreneurship (SE) in the Web of Science (WoS) database. Scientific studies related to social entrepreneurship help to understand the scope of studies of that subject.  The methodology of this study was scientometric analysis, which conducted co-word occurrence analysis focusing on SE. Data sourced from the Web of Science (WoS) database revealed a corpus of 4,292 documents related to software engineering (SE) from 1990 to 2024. The research findings reveal a diverse array of topics associated with SE in WoS publications, indicating academic diversity and a focus on American universities and various countries. Over the past two decades, SE research has transitioned from a nascent field to a well-established discipline. Key phrases such as "SE," "social enterprise", "entrepreneurship," "social innovation," "sustainability," and "innovation" emerge as the most frequent in SE literature on the WoS database. By doing this in the future, researchers can delve deeper into various aspects of SE, exploring emerging trends, innovative practices, and addressing pressing societal challenges.

Abstract Website quality has a significant impact on consumer purchasing decisions in e-commerce, attracting growing research attention. This bibliometric review examines 370 publications on website quality from 2000 to 2024 using Scopus data and VOSviewer software. The study employs performance analysis, showcasing essential research components such as publication counts, highly cited articles, authors, countries, and journal frequencies, in conjunction with science mapping to identify intellectual and thematic relationships through bibliographic coupling, co-keyword, and co-citation analyses. The results indicate that website quality has become increasingly important over time. The United States leads in both the number of publications and total citations, while African and South American countries have limited participation. Most top authors come from the United States and China, showing that these regions are producing a lot of research. This highlights the increasing importance of website quality in the world’s biggest economies. Trust is a crucial aspect of website design, as evidenced by the fact that the most frequently cited articles emphasize its substantial impact on consumer decisions. This study provides a comprehensive look at website quality, focusing on less-studied topics such as website analytics and the use of digital technology for emerging markets. It also emphasizes the importance of database accessibility, pointing out that journals from major publishers like Elsevier and Taylor & Francis dominate, while those from smaller publishers like Inderscience receive fewer citations. The findings highlight significant research gaps, such as the need for further investigation of digital adoption in emerging economies and the integration of website quality dimensions with emerging technologies. This study gives a clear picture of the current research on website quality. It offers useful information for future research and practical uses, helping scholars, researchers, and policymakers improve website quality and boost e-commerce performance.

Abstract Currently, medical journals are utilizing social media to attract an audience and publish their articles in various ways, which has been significantly enhanced. The present study aimed to investigate the status of Iranian medical journals in social networks. This research is a cross-sectional study. The statistical population included all Iranian medical journals indexed in the Web of Science (WoS) or Scopus databases (182 titles). The website of scientific journals was checked regarding the possibility of sharing articles. LinkedIn, Academia, Facebook, Twitter, and Instagram were investigated concerning the journals’ profiles and their features. Data analysis was conducted using descriptive statistics in Excel software. On the websites of medical journals, the most likely platforms to share articles are provided for Twitter and Facebook social media in 144 journals (79.12%) and LinkedIn in 142 journals (78.02%). Among the 182 medical journals, 38 journals have an active account on LinkedIn (20.78%), 31 journals are on Academia (17.03%), 19 are on Twitter (10.43%), 15 are on Facebook (8.24%), and only five are on Instagram (2.74 %). No journal had an active account on all the mentioned social networks, and only two journals had an active account on four of the social networks. Iranian medical journals do not have significant activity in social networks. Therefore, medical journals should pay more attention to using, creating accounts, sharing, posting, and attracting followers in these networks. The removal of filtering on some social networks by the Iranian government can lead to increased use of these networks in scientific environments, such as the offices of journals and universities.