International Journal of Metaverse & Virtual Transformation

Abstract The Metaverse, an immersive digital realm, has revolutionized the dynamics of communication and information exchange. In this context, electronic word-of-mouth (eWOM) has emerged as a vital tool for information dissemination and opinion formation. However, the influence of anonymity on eWOM credibility and trustworthiness remains a complex and evolving facet of the Metaverse. This review paper explores the multifaceted factors that underpin the impact of anonymity on eWOM which studying each can help researchers to develop this field. Through the systematic review, databases were searched and out of 145 articles, 65 were selected for review. Community Norms and Culture, Platform Design and Policies, Trust-Building Mechanisms, Transparency and Accountability, Information Quality and Consistency, Moderation and Ethical Practices, Challenges and Future Directions influence anonymity and eWOM credibility. Information Adoption Model, Social Identity Theory, Elaboration Likelihood Model, Source Credibility Theory, Network Theory, Cue Utilization Theory, and Social Exchange Theory are among the studied theories in this field. Credibility Challenges, Trust Formation, User Perceptions, Ethical Considerations, and User Education influence anonymity on the credibility and trustworthiness of eWOM in the Metaverse

Abstract Since the progress of science towards specialization, a kind of distance between awareness and knowledge has been created. But there are some views that believe that since all sciences are born of a single science, then the world of science should become a single land. An example of such a view is evident in cybernetics. Cybernetics emerged from the 20th century and has entered most sciences with the aim of investigating the nature of control and communication in humans, machines, and animals, as well as by paying attention to concepts such as communication, control, feedback, stability, regulation, information, etc. Metaverse is also an emerging phenomenon in which we witness the interaction between man and machine and actually the interaction between physical and virtual space. The study of sources shows the wide application of cybernetics in various sciences, and considering the importance and practical role of cybernetics in order to solve problems, control and regulate systems and create stability and stability in various sciences, in the present research, a review of the available studies in a library method in the field of cybernetics applications until its applications as a unit in various sciences such as industry, physics, chemistry, computer science, management, information storage and retrieval systems, cyber security, psychiatry (psychocybernetics), physiology, biology (biocybernetics), control Bioelectricity and medicine should be investigated in the metaverse space. By using cybernetic principles in various sciences, Metaverse can be used for its evolution to adapt to the life of humanity.

Abstract This study aims to identify the main components in a Knowledge Extraction System based on Single Sign-On in libraries. This research is with a mixed approach and it is an exploration based on the Sandelusky and Bargo (2006) model.  The studies from 2000 to 2022 were analyzed in ATLAS Ti software. In the quantitative phase, the statistical population is 12 experts in knowledge management and libraries who were selected by purposeful sampling. MICMAC software was used for the ISM method. 40 codes were categorized into 4 main themes of knowledge extraction based on SSO features including Infrastructural measures of knowledge extraction, Knowledge organization, Integration of knowledge, and Monitoring and updating knowledge. Access using unit code with the rank of 1 and frequency of 12 is one of the most important components in a knowledge extraction system based on SSO in libraries. According to the ISM, the knowledge extraction system based on SSO in libraries has four levels. Since SSO is one of the hot trends and high topics in the field of libraries, there can be a knowledge extraction system based on SSO features to help share and develop knowledge.

Abstract The current research aims to investigate the process of publishing resources related to metaverse in connection with telemedicine. The current research is of applied type and uses the Scientometric method. A descriptive review of the available resources with related keywords such as logistics, knowledge logistics, medical knowledge logistics, telemedicine and knowledge logistics in telemedicine was done in Google, Google Scholar, and SID databases to determine the relationship between the two concepts. The findings of this research showed that the sources of this area have a history of about two years. Ammar A, Fournier, Stephane, Muller, Olivier, and Skalidis, Ioannis are among the most used authors. India, Italy, the United Arab Emirates, UNAV, and the United States were among the busy countries. Also, most organizational affiliations were related to the University of Crete, Center Hospitalier Universitaire Vaudois, Imam Abdulrahman Bin Faisal University, Symbiosis International Deemed University, Symbiosis Institute of Digital and Telecom Management and CATHOLIC UNIVERSITY OF THE SACRED HEART. The analysis of the occurrence of keywords also showed that telemedicine, metaverses, virtual reality, augmented reality, artificial intelligence, and telerehabilitation were among the most frequent keywords. Reviewing the subject literature in this research showed that these two concepts are closely related. As far as it can be claimed that the metaverse is a general concept that can cover various aspects of human life and transform human interactions. This research can be the basis for conducting more studies regarding the connection between the medical field and the metaverse through telemedicine. 

Abstract The Fourth Industrial Revolution and the advancement of technology necessitate all industries integrate their operations with cutting-edge technology to grow and stay ahead of global changes. Considering AEC (architecture, engineering, and construction) industry, this research focuses on integrating building information modeling (BIM) training using Metaverse, the world's leading technology, because education is crucial for the growth of individuals in all fields.
A mix-method approach was employed, which entails qualitative meta-synthesis and quantitative methods, such as questionnaires and structural equation modeling (SEM) using SmartPLS. Through various databases, 181 relevant studies were identified, and 30 were selected for further analysis. The selected studies were thoroughly analyzed qualitatively using the MAXQDA 2020 software. The process involved initial coding, axial coding and pattern coding to identify overall patterns and trends within the data. The extracted codes, comprising nine categories and 82 indicators, were validated by a panel of experts using the Fuzzy Delphi method in two rounds of feedback and discussion among the experts to reach consensus on the validity and appropriateness of the codes. Following these results, a comprehensive questionnaire was conducted to assess the factors that influenced BIM training in metaverse. A carefully designed questionnaire was distributed to 300 participants. The quantitative data was analyzed with the aid of descriptive statistics and structural equation modeling (SEM). Both qualitative and quantitative phases resulted in the division of findings into nine categories: technology data and information, education technology infrastructure, team capacity, socio-cultural factors, behavioral factors, applied technologies, functional results, practical features, and environmental configuration.

Abstract Metaverse, as an old concept, is at the forefront of technological developments today. In recent time, the Metaverse, gaining more attention in tech business due to its core features such as a sense of immersion; real-time interactivity and user agency and will serves the purpose of platforms and devices that work seamlessly with each other; the possibility for thousands of people to interact simultaneously and use cases well beyond gaming.

Abstract The aim of the research was to identify and prioritize metaverse infrastructures with a fuzzy approach. This analysis has been done in a quantitative and applied manner. The identified criteria were screened using the fuzzy Delphi analysis method, and the internal and external relationship of the screened components was investigated using the fuzzy Dimetal technique. The surveyed community were experts in the field of information technology and artificial intelligence. 14 people were selected using purposive sampling. Using MATLAB software, Fuzzy DeMetal analysis and EXCEL software for fuzzy Delphi analysis were performed. The identified criteria were determined based on the library method in the previous section. 8 criteria were identified. In this research, 8 main criteria were identified based on the fuzzy multi-criteria decision-making method of Delphi and DEMATEL. These 8 criteria are: virtual reality and augmented reality technology, complex networks and communications, powerful processing, servers and cloud infrastructure, metaverse development platforms and software, security and information protection, interactive technologies and artificial intelligence technologies. Based on the Delphi technique, all items were confirmed. In the Fuzzy Dimetal technique, it was found that interactive technologies have the highest priority. Artificial intelligence technologies ranked second. Interactive technologies based on existing technologies have a special place in Metaverse. Augmented reality provides an opportunity to merge the real world with virtual elements.

Abstract The technological developments of the 20th century led to the increasing popularity of technology in all fields, including medicine, resulting in the emergence of telemedicine. The present study aims to examine the components of knowledge logistics in telemedicine. This applied study was conducted using a systematic review method, adopting the PRISMA model for article selection. Inclusion criteria comprised all open-access relevant sources. Data were collected from the Scopus database, and all selected sources were analyzed. The reviewed sources covered the period from 2005 to 2022. The thematic focus shifted over the years from e-health to mobile health, addressing issues such as travel, chronic disease monitoring, and particularly maternal health and pregnancy. The identified components of knowledge logistics in telemedicine included knowledge-based, infrastructural, logistical, policy-related, and demographic factors. Additionally, systemic components such as inputs, processes, outputs, outcomes, and impacts were identified. Knowledge logistics and telemedicine are two emerging topics. Telemedicine, due to its longer history, benefits from richer resources. According to the findings of this study, attention to logistical aspects is essential for the implementation and execution of telemedicine.