• Research in Community and Public Health Nursing
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• v.28 no.2
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• pp.129-143
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• 2017

Purpose: The purpose of this study is to explore factors which influence adoption, implementation and continued use of tele-healthcare systems. Methods: Qualitative research was conducted by in-depth interviews with 17 professionals from various fields of organizations involved in developing and implementing tele-healthcare systems. Data were analysed thematically, using a conceptual model of diffusion of innovations. Results: The system users were reacted positively to the 3 attributes out of 9 which decided the adoption of innovation. In addition, it is required to redesign the tele-health care system simpler and easier so that the system users can access to the system much more easily regardless of space and time limitations. From the design stage on an individual level, it is necessary to conduct detailed needs analysis and listen to users who are at the center of innovation diffusion. On an organizational level, it is necessary to actively prepare for possible problems during system implementation, educate the users and build communication channels continuously. Conclusion: This study has identified the factors affecting the innovation of tele-health care systems and contributed to the understanding of the operation of tele-health care systems by the diffusion of innovation theory in community health posts.

• 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.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.114-120
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• 2008

While ubiquitous healthcare (u-health) services were expected to propagate along with conventional healthcare services, recent progress indicated rather limited market acceptance. In this paper, we investigated the fundamental causes of why the consumer acceptance level of u-health services has been low. We draw upon innovation adoption theories to analyze the consumer readiness of the typical u-health services. The comparative analysis between innovative u-health services and conventional services was performed using analytic hierarchy process (AHP). Subsequently, policy and business implications including technological breakthrough insights were discussed based on the customer perspective comparative adoption analysis. The propositions captured through this study provide useful insight to further studies on u-health services.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.547-552
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• 2007

This study compares the reasons why Small and Large companies are adopting electronic commerce(e-commerce) by these two groups of companies. Two surveys that were undertaken contemporaneously on the use of e-commerce by Small and Large companies in the Korea were used as the empirical basis for this study. Based on theories from the technological innovation literature, we developed an integrated model of e-commerce adoption in Korea. The research model hypothesized nine factors as significantly influencing e-commerce adoption in Small and Large companies: Customers, Suppliers, Partner Firms, Competitors, Relative Advantage, Cost, Compatibility, CEO's innovativeness, CEO's involvement.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.1-14
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• 2001

New information technologies have often been treated as innovations for target users. Although users in recent times have had significantly more opportunities to be socialized with information technologies, the rapid pace of technology development usually means that every new technology represents a fairly major change over the previous one. Although a fairly significant body of research that empirically tests these alternative models and theories is now in existence, some questions with regard to the role of perceptions in innovation adoption remain unanswered. This paper reports the results of a field study examining adoption of an information technology innovation represented by an internet application. Moreover, the study examines the effects of an important moderating influence-personal innovativeness-on this adoption process. Finally, the study seeks to shed further light on the determinants of perceptions by examining the relative efficacy of mass media and interpersonal channels in facilitating perception development.

• Journal of the Korean Home Economics Association
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• v.42 no.9
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• pp.177-193
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• 2004

The purpose of this study was to explore consumer behavior of perfume products. Data were collected through 7 focus group interviews with 33 female consumers whose ages ranged between the 20's and 40's. According to analysis of groups divided by age and frequency of use, some group differences were found in information source, purchase place, consideration factors, fragrance preference, etc. The study results indicated that perfume consumption behaviors could be explained in part by the innovation adoption and communication theories. Especially, relative advantage, compatibility, observability, and trialability were important factors influencing consumers' adoption of new perfume. Also, many respondents used perfume as a tool to present their own image and identity, as well as to send messages regarding their mood and condition to others.

• Asian Journal of Innovation and Policy
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• v.11 no.2
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• pp.183-201
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• 2022

The purpose of this article is to provide preliminary findings on the state of digital technology applications of startups in Southeast Asia and to discuss issues related to digital health adoption in the region. This exploratory study is based on an empirical analysis of startups and digital technology applications information from various publicly available website databases. Public and private organizations would benefit from a better understanding of the current state of digital technology applications provided by startups and the challenges faced in digital health adoption. This article contributes to the existing literature by offering an overview of startups and digital technology applications in the digital health space in the fast-growing region of Southeast Asia. It offers advice to organizations intending to pursue healthtech initiatives on the types of health services provided by startups and issues that need to be addressed to increase the adoption rate.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.10 no.16
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• pp.149-158
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• 1987

The Adoption/Diffusion of Innovations(New Product), a topic of study and research that has frown rapidly in the past few decades, deals with how a new product is adopted in a society. It is of high importance to marketing organizations because New Products must be brought out continuously in order to service. The purpose of this paper is to examine the Adoption/Diffusion Models for New product which will help to analyze the Adoption/Diffusion process of Adopters. There are a number of models that, with varying degrees of success, have been used to predict market acceptance of new product. In this paper, following types of new product Adoption/Diffusion Models was suggested. (1) Adoption Models : The Alternative Models of Adoption. The Rogers Model of the Innovation Decision Process. (2) Diffusion Models : First Purchase Models(Basic Models, Extension of the Basic Models), Repeat Purchase Models

• The Mathematical Education
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• v.55 no.4
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• pp.417-445
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• 2016

The purpose of this research is to discover and analyze the stages of concern, level of use, innovation configurations and the analysis of their relationship to each other of storytelling-based math education among elementary teachers based on the concerns-based adoption model (CBAM). And then the researcher derives support strategies for the education by empirically examining at which levels and how actual elementary teachers perceive storytelling-based math education and also how they adopt it. In addition, the researcher lays the purpose of this study on seeking proper supporting strategies for helping elementary teachers implement storytelling-based math education and providing basic material for teaching activities by examining the correlation between stages of concern, levels of use and the innovation configuration, and grasping the relation between teachers concern and their educational practice regarding storytelling-based math education.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.41-57
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• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.