Articleshttp://hdl.handle.net/20.500.14131/152024-03-28T11:30:43Z2024-03-28T11:30:43ZClustering potential metaverse users with the use of a value-based framework: Exploiting perceptions and attitudes on the use and adoption of metaverse for bold propositionsRsha MirzaLytras, MiltiadisOhoud AlzamzamiLama Al KhuzayemHajar AlharbiSultanah AlshammariAlaa BafailArwa BasbrainEaman AlharbiNada BajnaidNada BajnaidNadia YusufWadee AlHalabihttp://hdl.handle.net/20.500.14131/14772024-03-10T05:17:33Z2024-03-01T00:00:00ZClustering potential metaverse users with the use of a value-based framework: Exploiting perceptions and attitudes on the use and adoption of metaverse for bold propositions
Rsha Mirza; Lytras, Miltiadis; Ohoud Alzamzami; Lama Al Khuzayem; Hajar Alharbi; Sultanah Alshammari; Alaa Bafail; Arwa Basbrain; Eaman Alharbi; Nada Bajnaid; Nada Bajnaid; Nadia Yusuf; Wadee AlHalabi
Metaverse is a new emerging platform that enables users to interact with each other and engage in many activities inside a collective virtual shared space. The metaverse is rapidly evolving, and it is essential to understand the perception and attitude of its potential users. Therefore, this research aims to study the users of the metaverse and obtain their opinions on some of the key variables of the metaverse. These variables include the core metaverse concept, readiness, ease of use, intention to belong to metaverse, intention to adopt, and value realization. We designed an online questionnaire that aims to measure these variables. Then, a deep analysis of the collected data was conducted using various exploratory descriptive statistics on all participants. Subsequently, we performed further descriptive and correlation analysis on the participants from Saudi Arabia, which resulted in clustering participants into three groups. The result of this work can help in understanding the current and potential users of the metaverse, especially the users from Saudi Arabia. This study will consequently help in developing the metaverse space, enhancing its features, and providing users with the best experiences. Our research contributes to the theory of the metaverse by justifying a bold value-based framework for metaverse adoption. This study also introduces three clusters, Skeptical, Unaware, and Optimists, of potential users of metaverse platforms, providing a clear description of each group.
2024-03-01T00:00:00ZAn improved clustering method using particle swarm optimization algorithm and mitochondrial fusion model (PSO-MFM)Elkafrawy, PassentNasef, MohamedHashim, Amalhttp://hdl.handle.net/20.500.14131/14712024-03-04T12:21:14Z2024-02-16T00:00:00ZAn improved clustering method using particle swarm optimization algorithm and mitochondrial fusion model (PSO-MFM)
Elkafrawy, Passent; Nasef, Mohamed; Hashim, Amal
Computational models are foundational concepts in computer science; many of these models such as P systems are based on natural biological processes. P systems represent a wide framework for a variety of concepts of data mining, as models of data clustering approaches. Data clustering is a technique for analyzing data based on its structure that is widely utilized for many applications. In this paper, the proposed model (PSO-MFM) has combined the Particle Swarm Optimization algorithm (PSO) with Mitochondrial Fusion Model to overcome some constraints of clustering techniques. The solving of clustering problem based on particle swarm is investigated in the proposed model when mutual dynamic rules are used. It can find the best cluster centers for a data set and improve clustering performance by utilizing the distributed parallel computing concept of mutual dynamic rules of mitochondrial fusion model. The comparative results demonstrate that the proposed strategy outperforms competition models when it comes to clustering accuracy, stability and the most efficient in time complexity.
2024-02-16T00:00:00ZAdvancing precision medicine in medical education: Integrated, precise and data-driven smart solutionsParaskevi PapadopoulouLytras, Miltiadishttp://hdl.handle.net/20.500.14131/14612024-03-08T01:52:09Z2023-12-02T00:00:00ZAdvancing precision medicine in medical education: Integrated, precise and data-driven smart solutions
Paraskevi Papadopoulou; Lytras, Miltiadis
Advances in “Precision Medicine” initiative, also known as “Personalized Medicine” is an emerging approach for disease treatment and prevention that has already led to innovative discoveries and has created “smart” applications and solutions tailored to a person's or a group of individuals' genetic profile, lifestyle, and environment interaction. Already many physicians as part of patient care routinely prescribe various molecular/genetic and other tests enabling them to select personalized treatments that improve the chances of survival and reduce exposure to adverse effects. This initiative should provide to medical and healthcare professionals with adequate resources and readily available solutions so that the target to specific treatments and care of the illnesses is achieved while at the same time protecting the privacy and safety of the individual is secured as well as the Electronic Health Records (EHRs) and whatever additional data is necessary within the context of Precision Medicine. This study, through a literature review mostly, and some case study analysis, examine whether personalized medicine is delivered to the patient in an “accurate” and “precise” way, as expected. This requires that Health and Human Services and other stakeholders and agencies collaborate to solicit the right input from patients while at the same time can identify and address any educational, practical, legal, and technical issues and providing smart solutions. The lack of proper medical education and advanced infrastructure are still major barriers to the adoption of Precision Medicine, therefore, the role of medical training in Precision Medicine is also examined and analyzed. Specific examples are discussed in an integrated, precise, and data-driven manner to provide “smart” solutions.
2023-12-02T00:00:00ZTranslating a value-based framework for resilient e-learning impact in post COVID-19 times: Research-based Evidence from Higher Education in KuwaitAfnan AlkhaldiSawsan MalikRashed AlhaimerAbdullah AlshaheenLytras, Miltiadishttp://hdl.handle.net/20.500.14131/14542024-03-08T01:52:39Z2024-01-30T00:00:00ZTranslating a value-based framework for resilient e-learning impact in post COVID-19 times: Research-based Evidence from Higher Education in Kuwait
Afnan Alkhaldi; Sawsan Malik; Rashed Alhaimer; Abdullah Alshaheen; Lytras, Miltiadis
The covid-19 pandemic has changed people’s daily lives and ehaviors all across the world and has impacted practically every element of human existence. The introduction of remote education systems and the move toward online learning have had some of the most ignificant effects. The on-site operations of educational institutions, such as schools, colleges, and universities, have had to be suspended in order to stop the virus’ spread. In order to effectively disseminate instructional material and guarantee the unbroken progression of students’ academic endeavors, educators have been forced to look for novel approaches. The study used the Value-Based Adoption Model (VAM) as a conceptual framework to look into the factors that affected Kuwait’s e-learning outcomes in the midst of the covid-19 pandemic. 382 students at Kuwaiti universities and colleges were the source of quantitative data collection. The findings revealed that peer interaction emerged as the most influential factor in shaping utcomes within the educational context of Kuwait, while instructors and course design factors were not significant. Using the VAM, this study investigated the impact of several factors on students’ e-learning results during times of crisis. The research expands the existing knowledge base in the field on this subject and suggests developing a well-organized online learning crisis approach. The main contribution of this work is summarized on (i) An integrated framework for the quality of the e-learning experience in universities in post-covid-19 times and (ii) A resilient higher education institutional learning strategy model in post-covid-19 times. The findings of this paper can be generalizable to other Gulf Corporation Council (GCC) countries such as Kingdom of Saudi Arabia, Qatar, United Arab
Emirates (UAE), Bahrain and Oman. This is due to the shared cultural traditions and values, along with similar educational systems among these nations.
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