• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.96-104
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• 2021

Technological advances have recently led to the development of Urban Air Mobility (UAM) which is a small airplane being able to take off and land vertically. It is emerging as an alternative to transportation services in the city in the future because of the advantage of providing speed and congestion problem in cities like taxis. This research aim to study the user's acceptance of UAM. Based on the survey conducted abroad, the analysis was carried out based on th Technology Acceptance Model (TAM), by Davis et al. (1989). According to the data analysis results of 292 people, Technology, Reliability and Price effect perceived usefulness, which in turn effects Behavioral intention. UAM cannot be operated independently by a single company. It consists of partnerships with vehicles, transport platforms, batteries and other related company. To improve acceptance of UAM, it is required that collaboration between companies and support from government. And while UAM is being developed, research on acceptance from user's point of view should continue.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.361-375
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• 2013

While the mobile application market is growing fast, the revenues of the majority apps are declining. Moreover, paid mobile application prices and purchases have been slow because of intensifying competition. However, the conventional studies focused only on the acceptance factor of mobile applications, so they cannot explain the phenomenon such as acceptance resistance for paid mobile applications. Therefore, our study tries to analyze the factors for the acceptance resistance of users for paid mobile applications. The research model in this paper, which is based on S-O-R model, verified through surveys how social influence and app characteristics affect user perception and how user perception affects to app resistance. The results of our study showed that paid mobile applications happened to be destroyed in front of the chasm because of the perceived loss. Consequently, the results implicate that the developers should lower the initial price and actively react to the negative reviews in order to lower the perceived loss. Moreover, the results verified that a sense of self-efficacy can lower application acceptance resistance by including personal properties to our research model as control variables.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.205-219
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• 2021

The present study identified determinants to user acceptance of artificial intelligence(AI)-based news anchor. Our conceptual model included three constructs of ability, benevolence, and integrity to determine whether these three constructs are predictive of trust perceived from AI news anchor. This work further examined the influences of social presence, anthropomorphism, perceived usefulness, understanding as well as trust as immediate determinants to user acceptance. The conceptual model was validated on survey data collected from 513 respondents. A series of scale refinement process was conducted by the examination of data normality, common method bias, structure of latent variables as well as internal consistency. In addition, a confirmatory factor analysis was performed to assess the extent to which the sample data collected from survey study measures the constructs adequately. The results from the analysis of structural equation model indicated that, (1) two constructs of ability and integrity were found to be significantly predictive of perceived trust, and (2) anthropomorphism, perceived usefulness, and trust emerged as significant and positive predictors of user acceptance of AI-based news anchor.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.321-330
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• 2013

Lately, in accordance with the improvement of living standards and income level, concern about the health is continuously increasing and the desire is also becoming diverse. This study focused on the user's acceptance of converged smart u-health system. For the study purpose, this paper analyzed the health and technology factors influencing the user's acceptance on u-health system. Thus this study was carried out by using covariance based SEM in order to test the model fitness and path coefficient. As the results, the health management experience among HPM factors and perceived usefulness among TAM had a positive effect on attitude and the perceived usefulness had a direct effect on behavioral intention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1105-1117
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• 2017

Financial technology, also known as FinTech, is one of the fast growing global businesses in since its inception in 2008. Fintech is a new economic industry, comprised of companies that adopted the latest technologies to provide more efficient financial services than the traditional financial services. Fintech companies are generally small to medium sized startups trying to disintermediate existing financial systems. FinTech companies can be differentiated in several areas, based on its business solutions and target customers. In Korea, the Peer-to-Peer (P2P) lending companies are the most prominent in the FinTech sector. P2P lending is a method of borrowing or lending money to individuals through online services without the use of an official financial institution as an intermediary. The P2P lending companies operate their services entirely online or mobile environment. Consequently, mobile P2P lending application users are dramatically increasing. Thus, it is worth evaluating the acceptance of the mobile apps of the P2P lending companies from a user's perspective. This paper discusses user acceptance of the mobile P2P lending apps, guided by the Technology Acceptance Model. We conclude that the users' acceptance of mobile P2P lending apps are significantly influenced by perceived ease of use, perceived usefulness, and user satisfaction. These in turn influenced their attitude towards using mobile P2P lending apps and intention to use.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.61-74
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• 2007

In this paper we consider the Digital Multimedia Broadcasting (DMB) Service that starts recently in Korea and gains popularity. DMB makes it possible to watch high quality TV programs while we are in motion. The service provider or the service researcher are interested in the factors that influence the user's choice of new service such as DMB. Understanding the factors make them create the powerful marketing strategies and develop the new service or product that is attractive for users. We therefore find the factors influencing the user's choice of DMB service, and propose a model for analyzing the relationship between the factors and the intention of buying. The model is based on the Technology Acceptance Model (TAM). We extend the TAM by adding factors including functional attributes of DMB service. We survey the significant functional attributes influencing the intention of buying by using the proposed model.

• Information Systems Review
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• v.25 no.3
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• pp.199-220
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• 2023

Projects to deploy and diffuse smart factories in South Korea are aimed at enhancing national manufacturing competitiveness. However, a significant portion of deployed companies remain at the basic stage and struggle to utilize smart factories regularly. Existing studies have primarily focused on the technical aspects of smart factories, using data analytics and case studies, leading to a gap in empirical research on continuous use and upgrade intentions. This study identifies key factors influencing smart factory usage and user satisfaction, drawing on the Information Systems Success Model (ISSM) and previous research. It empirically examines the impact of these factors on continuous use intention, management performance, and advancement acceptance intention through smart factory usage and user satisfaction. A structural equation model is employed to validate the research hypotheses, using survey data from 287 small and medium-sized manufacturing enterprises (SMEs) that have adopted smart factories. Results demonstrate that system quality, information quality, service quality, and government support significantly affect smart factory usage, while service quality and government support influence user satisfaction. Furthermore, smart factory usage and user satisfaction have positive effects on management performance, continuous use intention, and subsequently advancement acceptance intention. This study provides novel insights by demonstrating the specific impact mechanisms of smart factory user satisfaction on the business and the intentions of manufacturing SMEs regarding continuous use and advancement acceptance, leveraging the ISSM.

• Journal of Korean Society of Archives and Records Management
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• v.11 no.1
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• pp.231-252
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• 2011

User needs and their usage motivations are critical components of web portal success, yet limited studies have been conducted with the constituents of good cultural heritage archive portals from the user perspective. This study proposes a quality assessment model from the user perspective. To overcome the intrinsic biases, the triangulation approach was chosen for building a research model. The proposed research model adapts three existing web portal quality models: service quality model, data quality model, and technology acceptance model. A 99-item instrument is suggested to investigate the proposed model. In the next phase of research, the instrument will be tested for its construct validity, and the research model will be empirically tested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.61-71
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• 2014

Recently social shopping, combining e-Commerce with Social Network Service, become a brand-new eBusiness model. In this paper, we aim to identify the structural relationship of the factors affecting the intention of using social shopping. Reviewing the previous works of social shopping, internet shopping and TAM (Technology Acceptance Model), we extract factors affecting the intention of using social shopping and build a structural research model among these factors. To analyze the structural relationship among theses factors, we perform an empirical study - gathering data from a survey and analyzing gathered data using EFA (Exploratory Factor Analysis) and SEM (Structural Equation Model) to identify the structural relationship. We also analyze moderating effect of past experience of social shopping and gender. As a result, We also can find that two factors - Perceived usefulness and Expected enjoyment - are the key factors influencing acceptance of social shopping and that more segmented strategies are required to attract customers since factors affecting Intention to use are somewhat different according to past experience and gender of respondents.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.84-92
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• 2015

Advertisement market using the augmented reality has been rapidly increasing recently due to integration with LBS(location based services). This study was conducted to examine the effect and acceptance intention of mobile augmented reality advertisement through TAM(Technology Acceptance Model). 'Contextual feature,' which is a characteristic of augmented reality advertisement, was selected as an outside effective variable, and perceived usefulness and perceived ease of use, which are the core variables of TAM, and attitude of advertisement and advertisement acceptance intention were selected as important evidences of Technology Acceptance Process. Also, the relationship between each evidences were investigated. As a result of the investigation of the outside influence on the acceptance model of augmented reality advertisement, it was shown that the contextual feature of augmented reality advertisement had meaningful influence on perceived usefulness and perceived ease of use, and it was also shown that it has positive influence on the attitude of advertisement and acceptance intention of advertisement.