• Journal of the Korean Society of Costume
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• v.58 no.1
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• pp.151-160
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• 2008

`Early adopters,` a term first used by Everett Rogers in 1957, refers to people who are among the first to try a new product and like to evaluate the product for others. Early adopters in the digital age of the 21st century, greatly influence others by exchanging information on products and writing product reviews on Internet boards. Technological products have recently been released in the fashion world to become important fashion items, and early adopters are active buyers of these products. The purpose of this study is to examine the values and characteristics of early adopters as consumers of technological fashion products, and present a standard for designing fashion products in the future. This study was based on documentary research, Internet research and in-depth interviews. Documentary research was carried out to examine the lifestyles, characteristics and consumption habits of early adopters. Internet research was done to understand the tendencies of Korean early adopters, and a total of 18 websites were studied in 7 product categories. The subjects of in-depth interviews were 6 people who were either webmasters or members of early adopter-related websites. IT field early adopters tended to pursue new technologies, and fashion early adopters placed importance on how well a person could express their own style. New, unique, useful and pretty were the key words to describe the tendencies of early adopters, and fashion early adopters preferred the latest contemporary styles. Interviewees placed most importance on price, design and function of products. Since IT related products are continuously being added on to clothes and becoming fashion products themselves, further research on technology-related fashion design would be significant.

• Journal of Korea Trade
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• v.27 no.5
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• pp.91-112
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• 2023

Purpose - This study empirically investigates how the effects of localized knowledge spillovers on technology adoption are conditional on the organizational capabilities of potential adopters. Design/methodology - The empirical model utilized in this study examines how the presence of prior adopters of advanced manufacturing technologies affects a plant's technology adoption decision differently based on its organizational capabilities, measured by plant size and plant status (single-plant firm vs. multi-plant firm). Moreover, this study investigates how the scope of knowledge spillovers from prior adopters, both in terms of geographical and functional proximities, differ for plants with different organizational capabilities. Findings - The main findings of this study are as follows: 1. Although plants with lower organizational capabilities are less likely to adopt advanced technologies, such plants receive greater marginal benefits from knowledge spillovers from prior adopters in their region. 2. Plants with greater organizational capabilities can benefit from knowledge spillovers from a wider set of prior adopters. In other words, while plants with lower organizational capabilities tend to benefit from knowledge spillovers from "similar" and "local" adopters, plants with greater organizational capabilities can also benefit from knowledge spillovers from "not-too-similar" or are geographically distant prior adopters. Originality/value - While existing studies mainly focus on the effects of the various kinds of regional agglomeration, few studies investigate localized knowledge spillovers in technology adoption. Moreover, no prior studies have explored how the effects of knowledge spillovers on technology adoption depend on a plant's organizational capabilities and how the scope of knowledge spillovers differs for plants with different organizational capabilities. This study is the first to empirically investigate this topic.

• Knowledge Management Research
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• v.9 no.3
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• pp.59-76
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• 2008

Due to rapid increase in number of Internet users, the volume of domestic Internet shopping is expanding dramatically. Although the Internet shopping mall business is steadily growing, it has structural weakness, and in general, the business does not generate profit. In this context, this research identifies characteristics of the Internet shopping non-adopters, and suggests strategies to strengthen competitiveness of domestic Internet shopping malls and to create a new demand. Analysis of MCR data in 2007 showed that out of 4,298 respondents, 2,206 people adopted Internet shopping (51.3%). and 2,092 did not (48.7%). The survey measured 28 items regarding a consumption pattern and a lifestyle of the Internet users, and the analysis result showed that the pattern can be categorized in seven groups. Based on the analysis, the research suggests that the domestic Internet shopping malls adopt strategies to increase consumers' access frequency to tile Internet service, provide high-end goods, diversify transaction methods, make online shopping more convenient, cater to diversified consumer demands based on demographic data, provide price comparison more Internet shopping mails, and provide sufficient and useful information to consumers.

• 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 the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1045-1061
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• 2016

This study clarifies differences in attitudes toward the Omni-Channel service (Pintech service, Beacon service, and Click and Collect service) and fashion consumption behavior among four clusters grouped by level of technology readiness. An online survey was conducted; 572 individuals between 20 and 30 years of age were collected, but only 539 were used. Factor analysis, cluster analysis, descriptive statistics, ANOVA, and frequency analysis were adopted to analyze data using SPSS 20.0. The results are as follows. Technology readiness was divided into four factors: optimism, innovativeness, discomfort, and insecurity. Participants were divided into four groups according to four sub-factors of technology readiness: brave adopters, optimistic laggards, indifferent adopters, and critical adopters. These groups showed significant differences in attitudes toward the Omni-Channel service and fashion consumption behavior. Critical adopters and brave adopters recognized the value of the Omni-Channel service and had more positive attitudes toward it than other groups. Critical adopters also better perceived the risk of service with new technology that showed higher fashion innovativeness and monthly consumption of fashion products than other groups. We inferred that the indifferent adopters did not use the Omni-Channel service or services offered by fashion retailers as much as other groups because indifferent adopters were less interested in both the Omni-Channel service and fashion consumption behavior than other groups. Optimistic laggards viewed the Omni-Channel service optimistically, despite perceptions of high risks to accompanying it and a low intent to use it. The results of this study assisted in the formation of a theoretical framework of consumer behavior associated with the Omni-Channel, which is an emerging issue in research related to distribution. The results can help fashion industries that operate consumer-oriented marketing based on Omni-Channel strategies.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.365-368
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• 2005

While the goal of new IT adoption in small and medium sized firms is to choose an optimal system to fit with their own environments and conditions, that of IT post-adoption usage is to fully implement new IT and maximize their benefits from it. Therefore, the decision-making environments of new IT adoption is definitely different from those of post-adoption. Also, The direct experience of IT usage can provide some learning effect and the change of users' beliefs on new IT. From this point of view, this study attempts to figure out the differences of influencing factors on IOS usage intention between adopters and non-adopters. The results show that there are clear differences of influencing factors between two groups. Non-adopter group shows that perceived financial cost and ability of use have significant influences on IOS usage intention, while relative advantage and perceived risk in adopter group have statistically significant influences on post-adoption usage of IOS.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.78-88
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• 1996

It is important to understand the process of IT diffusion between organizations for meeting effectively IT progress and its changes. The previous studies provide, the process of IT diffusion between organizational members, organizational factors facilitating the assimilation of IT within the organization, and the organizational members' usage of communication channels in the IT adoption process. But they failed to provide comprehensively the diffusion process of IT between organizations. Therefore, an empirical research through a field survey has been performed to examine the diffusion process of RDB with 64 companies to overcome the limits of the previous studies. The purpose of this study is (1) to empirically examine the interaction of companies(prior adopters and potential adopters), (2) to look into the differences of the factors of organizational structure and the periods of RDB adoption process between OAE(Organizations Adopting Earlier) and OAL(Organizations Adopting Later), and the importance of communication channels used in IT planning stage and adoption stage, (3) to inquire into the difference of RDB performance between OAE and OAL. The results of this study indicate that there is no interaction between the prior adopters and the potential adopters. Also, there are great significant differences with regards to variables of CEO's age, CEO's concern on IT, formalization, centralization compensation systems, CIO's attitudes on changes, RDB adoption periods, performance of RDB. In addition, interpersonal channels have been much more used than mass communication channels in both IT planning stage and adoption stage. This study provides good guidelines to the companies and the vendors in shaping the strategies of IT adoption and IT diffusion respectively.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.83-94
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• 2018

This study is to analyze the difference of satisfaction according to the usage motivation of Live video streaming and characteristics of the adopter(early adopters, late adopters). For this purpose, we conducted a survey of 283 people in the age of 10~30 using AfreecaTV. As a result of the study, users spending daily hours on watching Afreeca TV showed a positive effect on the usage motivation. It shows only one difference in education level between the demographic characteristics, based on the adopter characteristics. Also the differences in the satisfaction factors were found to be habits, communication, entertainment accessibility in the early adopters and accessibility, credibility, habits, accessibility were significant influences on the late adopters.

• Information Systems Review
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• v.9 no.1
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• pp.67-84
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• 2007

In diffusing an information systems(IS), the provider of the IS can be more effective if they can identify user groups who can adopt the system early. By focusing on the user groups, system providers can encourage them to adopt the IS. After the early adopters adopt an IS, the diffusion of the system to other groups can be easier by early adopters' voluntary advertisement and help in adopting the IS. Instead of discrete choice methods which are usually used for this purpose, we suggest a decision tree method. Compared to discrete choice methods, this method is more accurate for prediction and can easily identify non-linear segments of groups. By testing the data of adopters of an IS in agricultural business, we show the excellence of this method in identifying target groups to focus on. This method would help system providers to diffuse their systems by starting from early adopters.

• Korean Management Science Review
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• v.32 no.3
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• pp.29-36
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• 2015

In this research, we analyze the sensitivity of the network density to the estimates for the Bass model parameters with both theoretical model and a simulation. Bass model describes the process that the non-adopters in the market potential adopt a new product or an innovation by the innovation effect and imitation effect. The imitation effect shows the word of mouth effect from the previous adopters to non-adopters. But it does not divide the underlying network structure from the strength of the influence over the network. With a network based Bass model, we found that the estimate for the imitation coefficient is highly sensitive to the network density and it is decreasing while the network density is decreasing. This finding implies that the interpersonal influence can be under-looked when the network density is low. It also implies that both of the network density and the interpersonal influence are important to facilitate the diffusion of an innovation.