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:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Supply chain management is an important and integral part of supporting the company's business continuity. Coronavirus disruption presents new challenges for the industry especially logistics, pharmaceuticals and food & beverage to continue to contribute to the availability of medical and food in Indonesia. The purpose of this research is to improve the performance of supply chains in logistics, pharmaceuticals and food & beverage industries in Indonesia in the middle of the pandemic coronavirus. ICT readiness and information sharing are two variables that are thought to have a positive and significant contribution on supply chain performance. The survey was conducted on 80 practitioner respondents who working in the supply chain channel, the survey period was in March 2020, when the government of the Republic of Indonesia had released an appeal to work from home, learn from home and worship at home in response to a pandemic coronavirus. The results of this study concluded that there is a positive and significant effect of ICT readiness on supply chain performance with an estimated coefficient of 0.47. Information sharing has positive and significant effect in increasing supply chain performance with an estimated coefficient of 0.32. The influence of the two independent variables on the dependent variable simultaneously is 0.692
The purpose of the study is to apply the Technology Acceptance Model to investigate the intention to use e-health among Halodoc.com, Alodokter.com, and Klikdokter.com users in Indonesia. The study is a quantitative approach and use convenience sampling, and use SEM data analysis technique. Future research will test the hypotheses of the conceptual framework. This paper is a theoretical framework, and future research will examine the conceptual framework