• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.581-592
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• 2019

This study investigates the factors that stimulate or suppress the use of food delivery applications. As potential antecedent factors, the present research examined the review diagnosticity, descriptive norms, and multidimensional risk perception. Based on this, users' data were collected from major metropolitan cities where the food delivery application business is most active. The results of structural equation modeling confirmed that users' approach to food delivery apps becomes more favorable when the review diagnosticity and descriptive norms were improved and when the perceived multidimensional risk expected to be associated with app use is mitigated. Additionally, we found that the positive influence of these attitudes on the actual intention to accept delivery applications became weaker at higher levels of perceived risk. These empirical results may contribute to the formation of strategic and systematic guidelines for promoting the expansion of the recently emerging O2O service platform across diverse sectors. Namely, the significance of this study lies in that it has raised awareness regarding the strategic considerations that such new O2O service providers should take into account for their market positions, in addition to discovering factors that could aid the prompt expansion of the applications' user base.

• Journal of Venture Innovation
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• v.5 no.4
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• pp.91-108
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• 2022

This study is an empirical analysis regarding what kind of factors affect the intention to use autonomous vehicles. For the empirical analysis the research model was derived from value-based adoption model base and integrated some aspects that only autonomous vehicles have. At default variables of VAM are usefulness, enjoyment, technicality, perceived cost, some autonomous vehicle related variables were added, and those are convenience, safety, security, social influence. A survey was done in order to empirically analyze with this research model, and 216 valid survey answers were chosen to analyze. Empirical analysis was done by structural equation using AMOS24. The result of empirical analysis were as follows. Variables usefulness, enjoyment, safety, security had a significant positive effect on perceived value. Technicality and perceived cost had a significant negative effect of perceived value. In addition, security and social influence had no significant effect on perceived value. Furthermore, perceived value had significant positive effect on intention to use. Among the variables that came out to be significantly positive, the most influencing variable was safety, followed by convenience, perceived cost, enjoyment, usefulness and then technicality. In addition, the analysis of mediating effect of perceived value shows that usefulness, enjoyment, convenience, safety, technicality, perceived cost had mediating role towards intention to use. However, security and social influence had no siginificant mediating effect towards intention to use. Considering all these research results this study has provided theoretical and practical implications to researchers on the intention to use autonomous vehicles.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.2
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• pp.7-17
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• 2023

In the era of the 4th industrial revolution, airports around the world are rapidly pushing for smart airports. One ID service based on biometric technology to eliminate congestion and improve airport operation efficiency is one of them. In particular, biopass, which allows you to use the entire journey with one single token without an ID card or boarding pass from arrival at the airport to boarding an aircraft, is emerging as an important technology for smart airports. This study conducted an empirical analysis to identify factors that affect the intention to use in two aspects: the acceptance, and rejection of bio-pass by combining UTAUT and the innovative resistance model. As a result of the study, it was found that the relative advantages and compatibility had a positive effect on the intention to use, and the perceived risk had a negative effect on the intention to use through innovation resistance. This suggests that infrastructure expansion and usage expansion are needed to use time more efficiently at airports, and that the government, airlines, and airport operators need to cooperate to strengthen the security system to relieve users' psychological anxiety.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1232-1255
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• 2011

This paper proposes a model for demand forecasting that will require less effort in the process of utilizing the new product diffusion model while also allowing for more objective and timely application. Drawing upon the theoretical foundation provided by the hype cycle model and the consumer adoption model, this proposed model makes it possible to estimate the maximum market potential based solely on bibliometrics and the scale of the early market, thereby presenting a method for supplying the major parameters required for the Bass model. Upon analyzing the forecasting ability of this model by applying it to the case of the hybrid car market, the model was confirmed to be capable of successfully forecasting results similar in scale to the market potential deduced through various other objective sources of information, thus underscoring the potentials of utilizing this model. Moreover, even the hype cycle or the life cycle can be estimated through direct linkage with bibliometrics and the Bass model. In cases where the hype cycles of other models have been observed, the forecasting ability of this model was demonstrated through simple case studies. Since this proposed model yields a maximum market potential that can also be applied directly to other growth curve models, the model presented in the following paper provides new directions in the endeavor to forecast technology diffusion and identify promising technologies through bibliometrics.

• Journal of Service Research and Studies
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• v.10 no.4
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• pp.57-70
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• 2020

Globally, cloud service is a core infrastructure that improves industrial productivity and accelerates innovation through convergence and integration with various industries, and it is expected to continuously expand the market size and spread to all industries. In particular, due to the global pandemic caused by COVID-19, the introduction of cloud services was an opportunity to be recognized as a core infrastructure to cope with the untact era. However, it is still at the preliminary stage for market expansion of cloud service in Korea. This paper aims to empirically analyze how cloud services can be accepted by users by each industry through extended Technology Acceptance Model(TAM), and what factors influence the acceptance and avoidance of cloud services to users. For this purpose, the impact and factors on the acceptance intention of cloud services were analyzed through the hypothesis test through the proposed extended technology acceptance model. The industrial sector selected four industrial sectors of education, finance, manufacturing and health care and derived factors by examining the parameters of TAM, key characteristics of the cloud and other factors. As a result of the empirical analysis, differences were found in the factors that influence the intention to accept cloud services for each of the four industry sectors, which means that there is a difference in perception of the introduction or use of cloud services by industry sector. Eventually it is expected that this study will not only help to understand the intention of using cloud services by industry, but also help cloud service providers expand and provide cloud services to each industry.

• The Journal of Information Systems
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• v.28 no.3
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• pp.159-202
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• 2019

Purpose The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.267-281
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• 2018

Internet only Banks in Korea have acquired more than seven million customer base, but most of the accounts are not active. As financial products tend to be similar, customer affect plays more crucial role than service features in continuance intention. The purpose of this research is to study about the impact of positive and negative affect on the continuance intention. The result indicated that positive affect is positively related to continuance intention, and negative affect is negatively related to continuance intention. Also expectation confirmation is positively related to positive affect. The results imply Internet only Banks need to focus on customer's positive affect and expectation confirmation to improve continuance intention.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.163-190
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• 2023

This study analyzed the effect of technology preparation and technology acceptance factors on the intention of public library librarians to use artificial intelligence-based technology using the technology acceptance model. To this end, a survey was conducted on public library librarians, and a total of 202 survey data were used for statistical analysis. As a result of the hypothesis test, first, optimism has a significant positive (+) effect on perceived usefulness, and discomfort has a significant negative (-) effect. Optimism and innovation on perceived ease of use were found to have a significant positive (+) effect, and discomfort was found to have a significant negative (-) effect. Second, perceived ease of use was found to have a significant positive (+) effect on perceived usefulness, and both perceived usefulness and perceived ease of use had a significant positive (+) effect on the intention to use. Third, optimism was found to have a significant positive (+) effect on the intention to use, and anxiety was found to have a significant negative (-) effect. This study is expected to provide basic data on the use of artificial intelligence technology in the future by empirically analyzing public library librarians' perceptions of artificial intelligence-based technology.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.09a
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• pp.264-279
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• 1995

오늘날 기업 경영 환경은 더욱 복잡해지고, 국가간.지역간 통합 경제 체제 형태로 변화하고 있다. 정보 기술과 텔리커뮤니케이션의 결합에 따른 급속한 발전은 국가간.지역간 경계를 넘어 다국적 기업, 더 나아가서는 범세계적 기 업으로 글로벌(global) 기업을 출현시켰다. 경영 환경의 빠른 변화의 추세 속 에서 경쟁 우위를 지키기 위해서는 이러한 변화를 적절히 수용하고 적응할 수 있는 조직이 필요하였다. 기존의 MIS 관점으로는 환경 변화에 적응 할 수 있는 혁신적인 조직으로 변화시키는 데는 한계가 있었고, 이에 따라 BPR 이 대두되었다. BPR실행에 있어 성공뿐만 아니라 많은 실패도 겪었다. BPR 실행에는 많은 자금과 인력, 시간이 투자되기 때문에 실패의 손실은 기업에 게 큰 타격을 가져다 줄 수 있다. 대부분의 BPR의 실패 원인은 사회적 측면 을 고려하지 못한 데 있다. 정보 기술을 이용하여 프로세스를 급진적으로 재 설계 하였지만, 운영 주체인 구성원의 저항감이나 조직의 문화에 대한 고려 를 하지 못하였다. 그러므로 BPR을 수행함에 있어 사회적 측면과 기술적 측 면을 동시에 고려하여 적용한다면 오류나 실패 요인을 감소시킬 수 있다. 따 라서 요즈음 새로이 부상하고 있는 사회.기술적 시스템 접근법은 성공적인 BPR 실행을 위한 대안이 될 수 있다.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.261-275
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• 2012

An increasing number of mountaineers are recently creating diverse consumer needs for mountaineering garments, thereby leading to a production of smart mountaineering garments with diverse-functions. Smart mountaineering garments are increasingly adding to comfort and safety, boosting their market size. This study researched on the Technology Acceptance Model (TAM) to examine factors that influence the intention of consumers to purchase buy mountaineering garments. For that purpose, 641 people aged 20-61 years who experienced in mountaineering were surveyed online. An extended TAM was designed by adding new variables such as fashion involvement and garment involvement associated with the characteristics of clothing products to the variables such as self-efficacy sense, technological innovativeness, perceived enjoyment. The findings of the study suggested that self-efficacy sense influenced perceived usefulness, perceived easiness of use, and perceived enjoyment, while garment involvement and fashion involvement influenced the perceived easiness of use and the perceived usefulness, respectively. Also, the perceived easiness of use influenced perceived usefulness and perceived enjoyment, while the perceived usefulness and perceived enjoyment directly influenced the intention of purchase. Based on the findings of this research, this study seeks to determine factors variables of smart garments purchase intention, and to explore measures to enhance such purchase intention, thereby offering working implications for developing smart mountaineering garments.