Blockchain technology enables users to verify, preserve, and synchronize the contents of a data sheet (a transaction ledger) replicated by multiple users. Blockchain technology has provided considerable advantages and incentives to industries in terms of enabling better services. This review aims to explore the benefits, challenges and functionalities that affect blockchain applications in different sectors. This article is constructed as a systematic literature review study. From 1976 articles, 168 final articles were selected and classified into three main dimensions, that is, benefits, challenges, and functionalities, in four different sectors: government, financial, manufacturing, and healthcare. The results were extracted and compared based on factors in three dimensions, which were categorized as benefits (informational, technological, economic, organizational, and strategic), challenges (technological, organizational, adoption, operational, and environmental and sustainability), and functionalities (point-to-point transmission, data ownership, data protection, and transaction processing). The results of this review study aim to support professionals, practitioners, and stakeholders who wish to implement and manage transformation projects related to blockchain in their sectors. Moreover, helping these possible blockchain users to understand the implied factors associated with blockchain would be beneficial for the decision-making processes of their organizations.

This paper’s aim is to investigate the role of creativity and pervasive learning in a modern education paradigm. The research was conducted by relevant literature review along with reflective analysis on sub-context such as creativity, educational development, pedagogical methods, important factors behind of creativity development and technology-learning systems affects. Various issues may become a supportive factor or barrier for creativity development in educational processes. Technology in an education field provides many opportunities for creativity enhancement, among which supports to enhance curiosity to develop some skills to improve student's cognitive processes and engagement as well as to increase intrinsic motivation, self-regulation. Authors attempted to consider all the benefits, challenges and risks related to enhancing creativity with the help of technology in modern educational paradigm. Many studies have been analyzed in order to answer main research question: How technology-pervasive learning environment can enhance stimulation and development of creativity among students?

The purpose of this paper is to analyze and explore the research studies on Big Data in relation with Artificial Intelligence domain, which published in Peer Review Journals and indexed in Web of Science Core Collection for the period of 2008-2019 years.The publication data for our research analysis “Big Data in relation with Artificial Intelligence” has been derived from the Web of Science (WoS) Core Collection database (Indexes included SCI Expanded and SSCI). The Bibliometric Analysis Methods is applied for the study in order to find out the relations between two domains and to investigate the status of scientific development level in the research era. Therefore, our research concentrates and highlights the current issues discussed and studied by the scholars around the globe. This paper would useful for researchers to show the publication trends on big data in relation with artificial intelligence research outcomes in highly reputable SCI-Exp and SSCI journal (ranked by WoS).

In the era of the Internet of Things, innovative business model initiatives continue to deepen, and the trend of search domains continues to expand. This paper aims to scientifically analyze research trends of the Internet of Things in relation to Business Model Innovation through bibliometric studies. The data were collected using the Clarivate Web of Science (WoS) Core Collection (SSCI and SCI indexed) from 2005 to 2022 (November). However, the publications for the research domains started in 2015. The results show that scientific publications on the Internet of Things in relation to Business Model Innovation have increased gradually since 2019. The WoS database is utilized for analyses because it contains journals and conference proceedings deemed more relevant by the academic domain and highly reputable sources for bibliometric studies. The VOS viewer, R Language, and Microsoft Excel were also used to analyze and complete the study. Bibliometric and scientometric analyses were conducted to identify publication patterns, text analysis, most important keywords (co-word, word cloud, and co-occurrence), trends for the topicality, and content clustering for the publication periods. The visualization of the research trends of the Internet of Things in relation to Business Model Innovation resulted in four co-occurrence clusters leading to some of the topic areas mentioned as follows: (1) The Internet of Things, (2) Business model innovation, (3) Technology infrastructure, and (4) Digital transformation and capabilities. The results of this study will assist academics in identifying worldwide research trends related to the Internet of Things and Business Model Innovation as well as recommending future research areas.

Higher education institutions and organizations have new opportunities thanks to digital technologies. Universities worldwide seek to provide the most outstanding available student services, particularly those that promote student achievements in their program objectives. The World Wide Web, in particular, has advanced Internet-based information technology, dramatically impacting all types of education delivery. Therefore, it has rapidly expanded the Open and Distance Education (ODE) system. This study aims to evaluate the performance of the higher institutions’ ODE websites within 5 main criteria (Navigation, Accessibility, Design, Content Readability, and Announcements) and 20 sub-criteria. The case study has taken place in Türkiye, and the institutions available for the study were Anadolu University ODE; Ankara University ODE; Ataturk University ODE; Istanbul University ODE. This paper utilized two Multi-criteria Decision Making (MCDM) techniques: Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (Fuzzy WASPAS). The criteria were determined with the help of the literature, which was searched, then categorized and weighted with Fuzzy AHP. The evaluation step in the process was conducted with Fuzzy WASPAS to select the best-performed alternative ODE websites. According to research findings, Design is the essential criterion, followed by Accessibility, Content Readability, Announcement, and Navigation criteria. Our research identified and recommended the development areas for further research and proposed theoretical and practical implications as well as managerial decisions to be considered for the ODE website improvements.

Background: Mobile apps are viewed as a promising opportunity to provide support for patients who have posttraumatic stress disorder (PTSD). The development of mobile technologies and apps shows similar trends in PTSD treatment. Therefore, this emerging research field has received substantial attention. Consequently, various research settings are planned for current and further studies. Objective: The aim of this study was to explore the scientific patterns of research domains related to mobile apps and other technologies for PTSD treatment in scholarly publications, and to suggest further studies for this emerging research field. Methods: We conducted a bibliometric analysis to identify publication patterns, most important keywords, trends for topicality, and text analysis, along with construction of a word cloud for papers published in the last decade (2010 to 2019). Research questions were formulated based on the relevant literature. In particular, we concentrated on highly ranked sources. Based on the proven bibliometric approach, the data were ultimately retrieved from the Web of Science Core Collection (Clarivate Analytics). Results: A total of 64 studies were found concerning the research domains. The vast majority of the papers were written in the English language (63/64, 98%) with the remaining article (1/64, 2%) written in French. The articles were written by 323 authors/coauthors from 11 different countries, with the United States predominating, followed by England, Canada, Italy, the Netherlands, Australia, France, Germany, Mexico, Sweden, and Vietnam. The most common publication type was peer-reviewed journal articles (48/64, 75%), followed by reviews (8/64, 13%), meeting abstracts (5/64, 8%), news items (2/64, 3%), and a proceeding (1/64, 2%). There was a mean of 6.4 papers published per year over the study period. There was a 100% increase in the number of publications published from 2016 to 2019 with a mean of 13.33 papers published per year during this latter period. Conclusions: Although the number of papers on mobile technologies for PTSD was quite low in the early period, there has been an overall increase in this research domain in recent years (2016-2019). Overall, these findings indicate that mobile health tools in combination with traditional treatment for mental disorders among veterans increase the efficiency of health interventions, including reducing PTSD symptoms, improving quality of life, conducting intervention evaluation, and monitoring of improvements. Mobile apps and technologies can be used as supportive tools in managing pain, anger, stress, and sleep disturbance. These findings therefore provide a useful overview of the publication trends on research domains that can inform further studies and highlight potential gaps in this field.