Since the concept of a smart city was introduced, IoT (Internet of Things) has beenconsidered the key infrastructure in a smart city. However, there are currently no detailed explanations of the technical contributions of IoT in terms of the management, development, and improvements of smart cities. Therefore, the current study describes the importance of IoT technologies on the technology roadmap (TRM) of a smart city. Moreover, the survey with about 200 experts was conducted to investigate both the importance and essentiality of detail components of IoT technologies for a smart city. Based on the survey results, the focal points and essential elements for the successful developments of a smart city are presented.

Since the introduction of corporate social responsibility (CSR), it has become an important duty of companies and organizations. In addition, academic and industry researchers have attempted to explore the effects of corporate social responsibility on firm performance. To this end, this study examined how corporate social responsibility and service quality are notably associated with customer satisfaction and behavioral intention to use by employing a structural equation modeling method. A research model with nine constructs was introduced and the findings revealed that economic, social, and environmental responsibility, as well as in-flight service quality, significantly determined customer satisfaction, while there were notable connections between customer satisfaction and behavioral intention to use. However, service quality at airports did not have a significant effect on satisfaction. The practical and theoretical implications of the current study are discussed.

Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots. In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

Purpose: Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies. Design/methodology/approach: An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used. Findings: The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed. Originality/value: Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

The concepts of corporate social responsibility (CSR) and user experience have been identified as core determinants of the success of service providers. Accordingly, practitioners and researchers have investigated the effects of service providers’ CSR and user experience on behavioral intention to use a particular service. Based on the importance of these concepts, the current study integrates subjective dimensions of CSR with the technology acceptance model (TAM) to explore whether the CSR efforts of mobile telecommunication services providers and the service acceptance of their customers have significant effects on behavioral intention to use a service. We apply structural equation modeling and find that two factors from the TAM (i.e., usefulness and ease of use) as well as economic, social, and environmental responsibility are significantly related to customer attitude and satisfaction. Moreover, our results show that there are significantly positive relationships between customer attitude and behavioral intention to use a service, as well as between customer satisfaction and intention. Practical and theoretical implications along with notable limitations of the current study are presented.