Jongbae Kim - Data Science and Digital Transformation in the Fourth Industrial Revolution

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The purpose of International Semi-Virtual Workshop on Data Science and Digital Transformation in the Fourth Industrial Revolution (DSDT 2020) held on October 17, 2020, Soongsil University, Seoul, Korea, is aimed at bringing together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science and to share ideas and information in a meaningful way. This workshop on data science and digital transformation in the Fourth Industrial Revolution will discuss the wide range of issues with significant implications, from data warehousing, to data mining, online analytical processing and reporting, data quality assessment, data-driven business models, data privacy and security issues, etc.

This publication captures 17 of the workshops most outstanding papers. The selected papers have not been published in the workshop proceedings or elsewhere, but only in this book. We await the important contributions that we know these authors will bring to the field.

In Chapter , Harim Byun and Jongwoo Park investigate the factors influencing the intention to use Korean telemedicine services from the perspective of potential overseas customers. This study has tested the influence relationship by reconstructing the UTAUT2 model to be suitable for the studies on the acceptance of telemedicine services.

In Chapter , Yongmuk Kim and Jongwoo Park tested their hypothesis using structural equation model analysis to verify the structural relationship between dynamic capability and business performance in the smart supply chain environment of Korean small and medium manufacturers. They confirmed through this that dynamic capability and environmental uncertainty in a smart supply chain environment have a partially significant effect on business performance and that manufacturers must strive to implement direct, systematic policies and improve dynamic capability to respond to an uncertain business environment.

In Chapter , Jinyoung Yang, Hyoboon Wang and Donghyuk Jo analyze the relative importance between determinants and factors of coaching service quality. Result of this study may be used as basic data in establishing an academic knowledge system of coaching and expanding the base for coaching.

In Chapter , Seulki Lee and Donghyuk Jo explore the factors that effects the acceptance intention of technology-based self-service of food and beverage store customers. The results of this study have academic implications for investigating the antecedent variables to the acceptance intention of technology-based self-service in uncertain environments. In practice, it will contribute to decision-making and business strategy formulation for the post-corona era.

In Chapter , Saeyong Oh, Sanghyun Cho, Sunghwa Han and Gwangyong Gim propose an architecture that can verify the integrity of the blockchain-based electronic document platform by presenting a pre-validation method for electronic documents.

In Chapter , Sanghyun Cho, Saeyong Oh, Hogun Rou and Gwangyong Gim analyzed prior studies and cases of e-government in order to derive the factors influencing the continuous use of e-government services provided by central government departments, local governments and public institutions, and to establish the causal relationship between each factor.

In Chapter , Hung-Trong Van, Simon Gim, Euntaek Lim and Thi-Thanh-Thao Vo find the factors affecting the intention to use e-government by comparing Korea and Vietnam citizens behavior based on TAM and IS success model.

In Chapter , Siyoung Lee, Sungwoong Seo, Hyunjae Yoo and Gwangyong Gim analyzed articles related to virtual reality and augmented reality, the main elements of the Fourth Industrial Revolution, and reviewed the views that the media has by using text mining techniques. This study showed that topics derived from topic modeling can be expressed in strategic space both nominally and visually.