권오병 교수

Abstract Industry 4.0 technology enables luxury fashion brands in the virtual market to quantify the value of digital items in the metaverse; thus, brands can maintain their reputations, ensure consistent and integrated luxury brand marketing, and attract new consumers in the virtual market. Understanding consumer behavior toward buying digital assets (i.e., nonfungible tokens [NFTs]) is important. By using blockchain‐based NFTs as a way to verify the authenticity of digital assets in the virtua

The aim of this paper is to empirically examine how individual characteristics affect user acceptance of context-aware services such as GPS-based telematics systems and location-based commerce, which together have become highly promising fields for mobile or ubiquitous e-commerce. To examine these individual characteristics, we applied a technology acceptance model to construct an amended model that focuses on three individual differences: self-efficacy, personal innovativeness and perceived sen

Mixed reality technology is being increasingly used in cultural heritage attractions to enhance visitors’ experiences. However, how the characteristics of mixed reality affect satisfaction and brand loyalty has not been explored in previous research. The purpose of this study is to identify factors affecting satisfaction with mixed reality experiences at cultural and artistic visitor attractions and their influence on brand loyalty, which is connected with management performance. We propose a th

In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making. However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data. This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data. Many studies have attempted to overcome these data incompleteness iss

Web-based auctions are now regarded as among the most successful business models on the Internet. Buyers who are invited to a web-based auction site make decisions based on a wealth of on-line information. In such circumstances, commercial transactions tend to be influenced not only by the information content of the website, but also by its design. However, little effort has been made to analyse the relationships between transaction behaviour and these design factors. The aim of this paper is to

A novel activity recognition method is proposed based on acoustic information acquired from microphones in an unobtrusive and privacy-preserving manner. Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they may be inaccurate, and privacy violation is a concern. For example, vision-based behavior detection using cameras is difficult to apply in a private space such as a home, and inaccuracies in identifying user behaviors reduce acceptance of the technolo