• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.146-156
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• 2006

The purpose of this study is to investigate the factors that influence consumers' adoption of performance infants' wear made of functional textiles. Based on Innovation Diffusion Model, product attributes, consumer traits, and communication characteristics were considered. A survey was carried out with a convenience sample of 241 housewives who have infants under 4 year-old, living in the Seoul metropolitan area. To analyze the data, SPSS 10.0 was used employing ANOVA, Duncan's post-hoc comparison, $X^2$, and f-test. The participants were classified into 4 groups based on their levels of adoption of performance infants' wear: No-Cognition, Negative Attitude, Positive Attitude, and Purchasing groups. There were significant differences among the four groups in terms of their perception of product attributes, communication characteristics, and personal traits. In terms of product attributes, the Positive Attitude group and Purchasing group showed higher perception of relative advantage, compatibility, trialability and observability than other groups. These groups were also high in terms of their tendency of actively seeking for additional product information, and particularly relied on the information from experts on TV or the Internet, personal experience posted on the Internet, or their own experience. Those who were in professional, well-educated and high income brackets were more likely to be Purchasing group than Positive Attitude group, which means once the positive attitude was formed they are likely to purchase the product.

• Korean Management Science Review
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• v.28 no.3
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• pp.113-124
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• 2011

Today, change in the information technology field is very fast, the innovative technology or product to be released for the other sectors tend more frequent. In this situation, most of potential users should think carefully about the adoption of innovative technology such as Web2.0. On the other hand, the adoption or acceptance of innovative technology has the paradox of technology. In order to verify the acceptance factors of innovative technology, we are proposed the model based on the DOI and MIR. Conceptually, we examine the four independent variables such as relative benefit, compatibility, complexity, risk that are divided into two parts as positive and negative, a moderating variable effect on independent variables that is the social influence, and their impacts on the acceptance of new technology. The questionnaire which consists of 100 questions was used to analyze the result to IT suppliers and customers in public sector. Finally, our research model was tested in an empirical study, which confirmed all of our hypotheses.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.7B
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• pp.450-463
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• 2005

This paper aims to find influencing factors for firms to adopt network equipments which based on Advanced Telecom Computing Architecture (ATCA). ATCA suggests a standardized specification for telecom equipments design. This new paradigm of developing network equipment provides benefits for network equipment manufacturers by reducing development time for new equipments with lower CapEx and OpEx. It also deliver oportunities for telecom services providers to exploit or test new services by replacing or upgrading part of total system with modular based network equipments. The research model basically depends on various researches based on Rogers' Innovation and Diffusion theory and it is verified through an empirical study for ninety-one domestic forms. Binary logistic regression was conducted to find the relationship between purchase intention and factors affecting new technology adoption. As a result, two factors such as scalability and cost/benefit effectiveness of the new system were statistically significant. Cluster analysis followed with those two variables. This helps TEMs (Telecom Equipments Manufacturers) get some implications on timing and target customers for diffusing the ATCA based technologies in the market.

• IE interfaces
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• v.23 no.4
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• pp.337-348
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• 2010

The Bass model is the most widely used model in research of new product diffusion because it presents a nice explanation on the diffusion process of new products. However, it has a limitation that its performance of fitness is lower as the available data become less and also, the diffusion curve is bell-shape and so, it can not represent the various diffusion patterns. Recently, a two-pieces Bass model is developed and applied to analyze diffusion of 10 products. The results are encouraging in terms of fitness. However, diffusion pattern is not dealt with in the paper. In this paper, analysis of diffusion pattern is in depth addressed in two-pieces Bass model. It is shown that the diffusion curves are divided into 3 types with respect to the peak adoption rate and each type is divided into 2 types further. Takeoff time of a diffusion process is analyzed by using the inflection point and regime-change time where it represents the point that imitation and innovation parameters change. Empirical studies for 68 products(28 domestic products and 40 USA products) are performed to analyze the diffusion pattern. Findings are that diffusion patterns of all products except 1 USA product show type I and regime-change time becomes shorter as the introduction time of the product is later in domestic products and regime-change time can be regarded as a takeoff time in 47% of total 68 products.

• The Journal of Information Systems
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• v.25 no.4
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• pp.87-104
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• 2016

Purpose As the smartphone market arrived at its saturation, from world leading information and communications technologies (ICT) businesses to startups, companies are competing to develop innovative wearable device products and suitable contents. Utility, technology, design, price, and various killer contents development targeting every customer's need should be considered for a success in the wearable device market. Design/methodology/approach Prior studies on innovation technology of ICT field have mainly focused on the innovation diffusion theory, expectation confirmation theory, and technology acceptance model, this study suggested the innovation resistance factors of adopting the smart wearable devices based on the innovation resistance model and theory of perceived risk. The model comprises the following two characteristics factors: 1) innovation characteristics which include perceived relative advantages, perceived compatability, perceived complexity, and perceived risk, 2) consumer characteristics which include attitudes towards innovation and existing products (i.e., mobile devices and analog watches). This study developed an extended innovation resistance model to explain the intention to acceptance of wearable devices consumers and collected 284 online survey responses from the non-consumers of the wearable devices. Findings The findings of this study suggest that perceived relative advantage, perceived compatibility, perceived complexity, perceived risk, attitudes towards innovation and attitudes towards existing analog watches affected the innovation resistance which has negative influence on the intention to adoption of wearable devices.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.1-10
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• 2018

Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer's adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers' intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals' behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers' willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.545-571
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• 2016

The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.47-79
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• 2008

RFID(Radio Frequency Identification) technologies enjoy an enormous interest in all throughout the world, not only from the research but also from corporate practice. Although bar code is gradually substituted with RFID technology, the use of RFID technology in the companies is at the early stages and it's potential value isn't fully realized yet. RFID-related-trust is needed to solve these problems because these phenomena are related to uncertainties or risks disturbing RFID diffusion. This paper focuses on trust in the adoption of RFID and analyzes the effect to RFID technology acceptance of trust. This paper proposes 5 second constructs of trust; institutional trust, trust between companies, trust within company, technology trust, and service provider trust. In order to analyze some relationships between trust variable and 4 variables in TAM, structural equation modeling(SEM) is developed and SPSS 12.0 and AMOS 7.0 are used for analyses.

• Asia Marketing Journal
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• v.8 no.3
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• pp.1-11
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• 2006

The Bass model assumes two communication channels: mass-media and word-of-mouth. In this paper, we call the mass-media Type I channel of communications. The word-of-mouth channel means interaction between non-adopters and adopters. Let us call it Type II channel of communications. In the real world, however, the non-adopters who are not aware of the innovation can be affected by communications with other non-adopters who are aware of it. Let us call it Type III channel of communications to differentiate with Type II channel. This paper analyzes the impact of Type III channel on diffusion process. The result shows that exponential growth patterns (for example, the adoption patterns of the blockbuster movies) can be observed when non-adopters are influenced by other non-adopters who aware of the innovation.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.88-101
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• 1999

The main objective of this study is to contribute to a better understanding of the antecedents of acceptance of information technology by agricultural managers. Questionnaires were administered to potential adopters and users of PC-based communications. Results indicate that potential adopters base their adoption decisions on a sparser set of innovation characteristics than suggested by innovation diffusion literature and users and potential adopters differ on their determinants of behavioral intention and attitude.