• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.25-52
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• 2006

This study focuses on customer perception of security control under Internet banking environment Internet banking customers' understanding of security control is insufficient. They are not fully aware of security technologies for Internet banking. Moreover, they cannot know which control is implemented and maintained on an Internet banking site when visiting the site. This study, therefore, attempts to find the impact of customer perception of security control on Internet banking acceptance. The research model is based on the TAM (Technology Acceptance Model), and introduces trust as an additional belief. Trust has been investigated in the marketing area, and begins to be focused in e-business area. A Web survey of Internet banking users collected 845 cases. Statistical analyses, using SEM (Structural Equation Modeling), partially supported the hypotheses that perceived strength of security control has an impact on three beliefs: trust, perceived usefulness, and perceived ease of use. We also verified the impact of these beliefs on attitude toward using, on behavioral intention to use, and on actual use. It is, therefore, verified that perceived strength of security control is a determinant of Internet banking acceptance.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.35-42
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• 2014

This study utilized an analysis of teachers' use of smart devices in the class, which highlighted the impact factors, and elucidated the relationship between in fluencing factors. The Unified theory of Acceptance and Use of Technology (UTAUT) model is based on the study of extension and modification of the model proposed. For the study, a survey of 1,016 elementary school teachers in the Gangwon and Metropolitan(Seoul, Gyeonggi, Incheon) area was conducted. Was applied using the AMOS structural equation modeling analysis. The analysis examines the utilization of smart devices in class as factors affecting performance expectancy, effort expectancy of the main variables showed, Instant connectivity and Openness that has a direct impact on the performance expectations and effort expectancy.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.261-269
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• 2009

In this paper we consider Internet Protocol Tele-Vision (IPTV) Service that started recently in Korea. IPTV makes it possible to watch high quality TV programs and a lot of multimedia contents with TV by way of Internet. The service providers are interested in the factors that influence the diffusion of new service such as IPTV. We therefore search the functional-attribute that would influence the acceptance of IPTV service, and propose a model for analyzing the relationship between the attributes and the intention of buying. The model is based on the extended Technology Acceptance Model (TAM). Survey results show that the significant functional attributes influencing the intention of buying are contents variety and convenience.

• Management & Information Systems Review
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• v.36 no.2
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• pp.239-260
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• 2017

This study is to explore the factors that may affect the social adoption diffusion of innovative technology, focusing on smart mobility. It reviewed the literature on theory of social acceptance-diffusion and technology adoption model of innovative products, set up structural equation model that includes the causes and effects of perceived usefulness(the nexus among influences, perceived usefulness and purchase intention) and empirically tested the relationship. The survey, covering 534 non-users, was conducted from August 1, 2016 through August 12, 2016. The results show that compatibility and relative advantage significantly positively affect adoption intention through perceived usefulness, and that communication significantly negatively affect. However, complexity and service quality do not have significant positive effects on perceived intention and purchase intention. Some implications to promote social acceptance of smart mobility based on the results of the study are offered.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.99-113
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• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.

• Journal of agriculture & life science
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• v.46 no.5
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• pp.153-165
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• 2012

The purpose of this study is to analyze the acceptance about new seed of Chinese cabbage and to analyze the factors affecting continuous use. Research model was derived based on the Technology Acceptance Model(TAM), the analysis was performed using Partial Least Squares(PLS). The factors significantly affecting the use of new seed of Chinese cabbage are innovativeness and seed promotion in antecedent variables and perceived usefulness in parameter variables, which have strong positive relationship among them. Therefore, efforts such as development and diffusion of high quality seed and securing a market for Chinese cabbage of new seed are necessary for improving perceived usefulness. Since these efforts including seed promotion can enhance the farmers' acceptance of new seed and reduce the risk that farmers would face in introducing new seed, these can also be very helpful in enhancing the farmers' innovativeness.

• 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 Korean Society of Transportation
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• v.17 no.1
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• pp.141-157
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• 1999

This paper first reviews current practices of traveler information providing and provides some perspectives regarding the possible near term milestones in traveler information providing. Then, reviews of four types of prediction models: 1) dynamic traffic assignment (DTA) model; 2) statistical model; 3) simulation model; and 4) heuristic model are described in the sense that various prediction models are needed to support providing predictive traveler information in the near future. Next, the functional requirements and capabilities of the four types of prediction models are discussed and summarized along with some advantages and disadvantages of these models with reference to short-term travel time prediction. Furthermore, a comprehensive prediction procedure, which combines the four types of prediction models, is presented, together with the data requirements for each type of prediction model.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.411-417
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• 2007

디지털 매체의 사용자들의 사용 모형이 변화하고 있다. RSS, 태그(tag), Ajax, Open API 등 사용자 참여를 향상시키는 Web 2.0 기술을 포함하여 정보 기기 및 인터페이스의 발전은 사용자들의 매체사용에 대한 범위와 역할을 크게 향상시키고 있다. 이제 사용자는 더 이상 정보수용자의 입장이 아닌 정보제공자의 입장에서 매체에 접근하고 있다. 이와 같은 현상은 우리에게 두 가지 중요한 연구문제를 제시한다, 첫째, 사용자들은 기술변화를 어떻게 인지하고 있으며, 어떤 학습의 과정을 거치고 있는가? 혹은 어떤 어려움을 겪고 있는가? 둘째, 변화하는 기술에 따른 사용자들의 요구변화의 양상은 디지털매체를 통한 정보제공을 통하여 수익을 발생시키는 기업의 사용자와의 상호작용을 어떻게 변화하게 하고 있는가? 이와 같은 연구문제를 해결하기 위하여 창조적 사용자의 인지적 모형을 점검하고, 차세대 기술변화에 따른 사회적 컴퓨팅의 진화를 근거이론을 통하여 분석해 보고자 한다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.4
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• pp.54-63
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• 2018

Airlines are promoting self-service based technology by introducing mobile check-in, Kiosk and self-back drop systems, which will help customer satisfaction and efficiency. This study is about the usage intension to use Technology-based Airline Self-Service, the purpose of this study is to examine the key variables affecting Unified Theory of Acceptance (UTAUT2) in using Technology-based Airline Self-Service. According to the results of the ANOVA, there was a significant difference among the groups according to the experience of the self-service device. And analysis results using Structural Equation Model(SEM) was suggested that the performance expectation and hedonic motive of UTAUT2 model were found to have significant influence on initial trust. Also, initial trust affects the intention to use. There are some moderating effects on the structural equation by groups according to the experience of the self-service device. This research has significance in that it can help establish a marketing strategy of airlines to expand the self-service based on the airline technology.