• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.187-205
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• 2010

This study takes a holistic approach to understand the diffusion of IPTV services by combining the adoption-diffusion model and the use-diffusion model of innovation. IPTV service, a leading digital converged application coupling media content with telecommunications, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived easeof-use and usefulness of TAM(Technology Acceptance Model) as mediating variables, and a structural model of use-diffusion, with the rate of use and the variety of use as mediating variables. To empirically analyze these models, non-users of IPTV were surveyed using the adoption-diffusion model to identify factors influencing their intention to subscribe to the service. Meanwhile, users of IPTV were surveyed using the use-diffusion model to determine the factors that influence their satisfaction with the service and their intention to re-use it. Under the adoption-diffusion model, we found that trialability, household innovativeness and perceived risk were the determinants of user satisfaction with IPTV, and perceived ease-of-use, the mediating factors. Under the use-diffusion model, complementarity and communication were shown to be the determinants of users' satisfaction with IPTV, and variety of use, the mediating factor. We also found that consumers' intention to re-use IPTV was strongly influenced by its relative advantage and perceived risk.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2010년도 춘계국제학술대회
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• pp.165-180
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• 2010

This study takes a holistic approach to understanding the diffusion of IPTV services by combining the adoption-diffusion model and the use-diffusion model of innovation. IPTV service, a leading Digital converged application coupling media content with telecom, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived ease-of-use and usefulness of TAM(Technology Acceptance Model) as mediating variables, and a structural model of use-diffusion, with the rate of use and the variety of use as mediating variables. To empirically analyze these models, non-users of IPTV were surveyed using the adoption-diffusion model to identity factors influencing their intention to subscribe to the service. Meanwhile, users of IPTV were surveyed using the use-diffusion model to determine the factors that influence their satisfaction with the service and their intention to fe-use it. Under the adoption-diffusion model, we found that trialability, household innovativeness and perceived risk were the determinants of user satisfaction with IPTV, and perceived ease-of-use, the mediating factors. Under the use-diffusion model, complementarity and communication were shown to be the determinants of users' satisfaction with IPTV, and variety of use, the mediating factor. We also found that consumers' intention to re-use IPTV was strongly influenced by its relative advantage and perceived risk.

• 한국산업정보학회논문지
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• 제14권4호
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• pp.101-115
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• 2009

본 연구에서는 디지털 융합 기술의 대표적인 제품이라 할 수 있는 카메라폰을 대상으로 전통적인 확산모델인 TAM을 비롯한 수용-확산모델과 최근 Shih and Venkatesh(2004)에 의해 제시된 사용-확산 모델의 비교를 통해 디지털융합제품의 확산과정을 규명하였다. 수용-확산 모델을 적용한 분석결과에서는 관찰가능성, 인지된 유용성, 혁신성, 상대적 이점 등이 재구매 의도에 유의한 영향을 미치는 것으로 나타났다. 반면에 사용-확산 모델을 적용한 분석결과에서는 기술정교성과 만족, 혁신성과 상대적 이점 등이 재구매의도에 유의한 영향을 미치는 것으로 나타났다. 본 연구 결과는 신제품 확산과정에 대한 소비자 관점에서의 이론적 모형에 있어서 주류를 이루고 있는 TAM을 비롯한 수용-확산 모델이 카메라폰과 같은 디지털 융합기술의 확산에도 적용될 수 있음을 시사하고 있다. 또한 기존 제품의 사용을 통해 형성된 기술적 정교성과 만족을 중심으로 하는 사용-확산모델이 디지털 융합 제품 확산에 보다 설득력을 지니고 있음을 보여주고 있다.

• 경영과정보연구
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• 제32권5호
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• pp.19-43
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• 2013

전통적으로 새로운 기술에 대한 사용과 확산은 수용적 관점에서 많은 연구자들에게 관심거리였으며 신기술 수용후의 사용행동에 대한 설명을 위해 사용-확산(use-diffusion) 패러다임이 제시되었다. 본 연구는 새로운 마케팅 도구로서의 의료 웹사이트와 어플리케이션에 대한 소비자들의 사용유형과 지속적 사용의도를 파악하기 위해 사용확산모형을 바탕으로 의료정보의 품질, 의료 웹사이트와 어플리케이션의 사용성, 개인의 혁신성, 주관적 규범 등 사용량과 사용다양성의 선행변수로 보았다. 연구결과 주관적 규범이 의료 웹사이트나 어플리케이션의 사용량에 미치는 영향을 제외하고 모든 선행변수들이 사용다양성과 사용량에 영향을 미치는 것으로 나타났다. 이 사용량과 사용다양성의 사용유형은 의료 웹사이트와 어플리케이션이라는 새로운 의료 온라인마케팅 도구에 대한 지속적 사용과 유의한 연관성이있음을 알 수 있었다.

• 무역학회지
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• 제45권1호
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• pp.279-300
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• 2020

The cosmetic medical information mobile platform is evolving into a new channel for searching and obtaining relevant information before using cosmetic medical service. In addition, the medical institutions can facilitate the medical contracts, and take advantage of systemic customer management through the cosmetic medical information mobile platform. Therefore, the paradigm of the cosmetic medical mobile service industry is facing a flow of change through the use diffusion of cosmetic medical information mobile platform. In this study, in order to explore the factors affecting the use diffusion of the cosmetic medical information mobile platform, this study used the research model of the influence of the characteristics of the cosmetic medical information mobile platform on perceived convenience and usefulness, and use diffusion by applying TAM(Technology Acceptance Model). As a result, immediateness, interactivity, and customization in the characteristics of cosmetic medical information mobile platform had positive effects on the perceived convenience. Also, interactivity, customization, and economics had positive impacts on perceived usefulness. In addition, perceived convenience and usefulness had positive effects on the use diffusion. Through this study, the factors influencing the use diffusion of cosmetic medical information mobile platform were actually explored, and the service value of the cosmetic medical information mobile platform were categorized. Future research is expected to contribute to the continuous improvement of quality and expansion of the cosmetic medical service market based on various research.

• 디지털융복합연구
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• 제6권2호
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• pp.55-64
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• 2008

The Internet possesses not only features of mass media but also features of word of mouth communication. Communication channel is considered as one of most important variables in diffusion process. In this paper, we examined functionality of technology diffusion on the Internet through the use of meta tags. We have measured the coefficients of the Bass diffusion model which has been well-established in new product diffusion. This research shows that the Bass model is appropriate for describing technology diffusion on the Internet. The external influence as represented by the coefficient of innovation was found to be much smaller while the internal influence dominates in all meta tag diffusion. In meta tag diffusion, the internal influence as represented by the coefficient of imitation was increased at least twice bigger than that of consumer durables and information technology. Collecting necessary data in social sciences research can be a burden. This research shows that it can be alleviated through the use of software agents over the Internet. The research made use of software agents for collecting longitudinal data from publicly accessible archive such as Archive.org.

• International Journal of Contents
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• 제14권3호
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• pp.32-38
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• 2018

This study examined the factors influencing the intention to use smartwatches using the integrated model of technology acceptance model (TAM) and innovation diffusion theory (IDT). An online survey was conducted and the data were analyzed using the structural equation modeling (SEM). The results showed that the research model had an acceptable fit, and all paths, except for the one from the perceived ease of use to the intention to use, were supported. Regarding paths from IDT to TAM, it was observed that higher the compatibility, the users perceived greater usefulness. Additionally, both observability and trialability influenced the perceived ease of use. However, perceived ease of use affected the intention only through the mediated effect of perceived usefulness. The implication of the study lies on the major focus on the effects of users' perceptions regarding innovative characteristics of smartwatches on the intention to adopt and attempted to increase the explanatory power of the TAM and IDT by combining both.

• 기술혁신연구
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• 제11권2호
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• pp.71-89
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• 2003

Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.161-163
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• 1997

In this paper, a two-dimensional electron beam dose calculational algorithm implented for use in a two-dimensional radiation therapy planning system is described. The 2-D electron beam calculations have been in use clinically for a few decades. Our algorithm uses Age-diffusion model based int the Boltzman Transport Equation. Our implementation provides convenient user interface associated with electron beam therapy planning and displays radiation dose distribution according to different electron energy on patient images.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.2-4
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• 2023

Sequence data plays an important role in the field of intelligence, especially for industrial control, traffic control and other aspects. Finding abnormal parts in sequence data has long been an application field of AI technology. In this paper, we propose an anomaly detection method for sequence data using a diffusion model. The diffusion model has two major advantages: interpretability derived from rigorous mathematical derivation and unrestricted selection of backbone models. This method uses the diffusion model to predict and reconstruct the sequence data, and then detects the abnormal part by comparing with the real data. This paper successfully verifies the feasibility of the diffusion model in the field of anomaly detection. We use the combination of MLP and diffusion model to generate data and compare the generated data with real data to detect anomalous points.