Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Software and information technology presence has greatly grown in today's organizations. some estimates suggest that around i50 percent of all new capital investments in companies have been in information technology since last a few decades. yet in order for technologies to improve productivity, workers in companies must embrace and use them. explaining user adoption of new technology is often defined in the contemporary information systems (IS) literature as one of the most advanced research areas. research in this area has resulted in several theoretical models, with origins in information systems, psychology, and sociology, which routinely explain more than i40 percent of the variation in individual intent to use technology. therefore, the aim of this review is to comprehensively present the most useful and useful models that applied in technology adaption studies. however, this study discussed the theory of planned behavior (TPB) and its strength, also this review showed the benefit of the technology acceptance model (TAM). More profoundly, the present review indicated the unified theory of acceptance and use of technology (UTAUT) as well as the unified theory of acceptance and use of technology (UTAUT2). theoretical implications importance and research agenda have been addressed
Since the 1930s creativity has been extensively studied, with many scholars regarding scientific work as a product of creativity. However, existing studies on scientist creativity are few and the information is limited. Scientist as a specific person who conduct creative work were chosen and the four P creative approach used to provide clear picture of existing research literature and identify future research implications through qualitative systematic review. Therefore, this study aimed to gain insight regarding the research trends related to scientist creativity using a bibliographic analysis and keyword clustering network. The current study used Text Mining ‘TM’ Network Analysis Visualization ‘igraph’ packages in R software and Web of Science Core Collection database. After collecting metadata from published research papers between 2004 and 2020, bibliometrics analysis was done to identify the most influential research area, country, and the research trend. Results showed that educational and education research was the most researched area while science and technology was the most influential research area. Using co-occurrence keywords analysis, clustering network were created and growth of each four cluster topic are discussed over the time