• KIPS Transactions on Computer and Communication Systems
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• v.10 no.12
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• pp.329-342
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• 2021

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1211-1221
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• 2007

This research investigates the effects of fashion innovativeness and technology innovativeness on the attitude and the buying intention of smart clothing. This study employs TAM(Technology Acceptance Model) proposed by Davis(1989) as a theoretical framework. Two hundred sixty-five respondents comprised a sample used to examine a structural model. The structural equation model using AMOS was performed to test hypotheses. Fashion innovativeness was found to affect perceived usefulness while technology innovativeness affected perceived ease of use. Perceived usefulness was found to influence attitude towards smart clothing. Perceived ease of use was also found to affect attitude towards smart clothing. The attitude towards smart clothing has a direct effect on the buying intention of smart clothing. In addition, this study revealed that employing TAM to investigate the adoption of smart clothing was appropriate. Lastly, implications of this research and suggestions for future studies were discussed.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.334-341
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• 2002

본 연구는 기업간 전자상거래 수용에 영향을 주는 요인을 밝혀내고 실증적으로 분석하고자 하는데 목적이 있다. 기존 기술수용모형(TAM) 기반 연구는 수용의사결정 수준이 개인 단위에 국한되었으며, 영향요인도 인지된 혁신특성인 경우에 비해 본 연구에서는 i) 인지된 이익 ii) 조직의 준비 iii)외부 압력 등 세 관점에서 살펴보았다. 37 개 업체를 대상으로 실증 분석한 결과 인지된 이익, 조직의 준비 및 외부압력은 모두 B2B EC 수용에 영향을 미치는 것으로 밝혀졌다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.10a
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• pp.503-510
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• 2005

전체 인구대비 가입률이 $80\%$에 육박하는 이동통신서비스를 기반으로 국내에서 무선인터넷은 눈부시게(outstanding) 성장을 거듭하고 있다. EV-DO를 중심으로 제 3세대 이동통신 기술의 진화와 카메라 폰 등의 최신의 무선 단말기 보급, 게임 및 SMS, MMS, LBS 등의 콘텐츠 보급 등이 무선인터넷 성장의 원동력(growth factors)으로 작용하고 있다. 본 연구에서는 정보기술수용모형(TAM)을 기반으로 국내에서 무선인터넷 확산 영향요인을 규명하기 위한 탐색적인 목적으로 수행되었다. 이를 위하여 무선인터넷의 네트워크 품질, 콘텐츠 품질, 단말기 품질, 초기 비용, 이용요금, 유용성, 이용용이성, 사회적 영향, 이용태도, 이용행동 등에 관한 자료를 설문 조사를 통해 수집하였다. 그리고 구조방정식을 통하여 각 요인들간의 인과관계를 실증적으로 검증하였다. 그리고 국내에서 무선인터넷에 대한 이용의향을 바탕으로 고객군을 세분화하고 집단의 특성을 파악하였다.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.715-737
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• 2018

The introduction of autonomous vehicles will bring about not only changes in existing automotive ecosystem but also widespread changes in our lives, society, economy, and culture. Social acceptance is one of important influencing factors for the commercialization of autonomous vehicles. The purpose of this study analyzes influencing factors in the acceptance of autonomous vehicles in terms of consumers. Autonomous vehicles in this study were defined as PAV (Partial Autonomous Vehicles) and FAV (Full Autonomous Vehicles) by drivers' intervention or not. The survey was conducted over 20 years old including not only drivers but also non-drivers. The results showed that the factors affecting acceptance of PAV and FAV were different. Factors directly related to drivers influenced PAV acceptance while external environmental factors influenced FAV acceptance. This study is proved that is should need different strategies between PAV and FAV for increasing those acceptance

• The Journal of Korean Association of Computer Education
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• v.20 no.2
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• pp.35-45
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• 2017

Factors influencing the attitude towards the use of robot-based instruction in special education are explored using the technology acceptance model (TAM). Their interrelatedness is also analyzed. Research data were obtained via a questionnaire survey of elementary, middle, and high school special education teachers in North Chungcheong Province. The results reveal that three factors influence the attitude towards using robot-based instruction in special education: perceived usefulness, perceived ease of use, and social influence. Of these, perceived usefulness exerts the strongest influence. Perceived ease of use was found to be influenced by personal innovation and social influence, and perceived usefulness is influenced by perceived ease of use and personal innovation. Efforts should be made to induce a receptive attitude towards the use of robot-based instruction among teachers for its stable acceptance.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.597-599
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• 2021

As the number of successful business design innovation product cases increases, interest in design innovation is increasing. This study aims to examine how the design innovation (functionality, ergonomics, aesthetics) of Bluetooth speaker products affects the customer's preference and purchase intention. It proposes a research model through rational behavior theory (TRA) and technology acceptance model (TAM) for empirical research. The questionnaire is composed of questions to understand the influence of design innovation, favorability, and purchase intention. This is a study to increase the possibility of success of design innovation products by examining how design innovation through research results affects customer preference and purchase intention.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.450-475
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• 2008

The successful diffusion of innovation depends on an understanding of the consumer innovators, although they represent a small group of consumers. Researchers have studied the personalities of innovators to explain how these are associated with innovativeness. This paper examined the relationships of need for uniqueness, susceptibility to interpersonal influence, attention to social comparison information, and role-relaxed consumption to individual innovativeness. Data were collected from 319 students in Seoul. The results supported by large hypothesized relationships among these variables. Based on the results of the analysis, practical implications were discussed.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.81-90
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• 2016

In the civil market, companies launch new products when the acquired innovations are ready, but in defense, customer requests the innovation applied weapon systems. The technology adoption cycle model takes unusual form of market like inverse chasm takes technology inversely. This thesis describes an inverse chasm from the perspective of technology adoption cycle, equipped product model, and technical progress S-curve. As a way to overcome the inverse chasm, considering factors like a self-investment demo model, customer needs, and the temporary chasm expanding phenomenon are derived. And order-effective relationship analysis and chasm marketing strategy are suggested. Especially securing the core technologies and possibility for equipped product by developing self-investment demo model are identified as a good marketing strategy of chasm. This analysis and strategy suggest the policy implications for preemptive advantage of market positioning in the procurement process of defense, discontinuous innovation technology applied on.