• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.375-387
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• 2010

The Technology Acceptance Model (TAM) presented by Davis (1989) has been regarded as highly explanatory as well as the clearest model in explaining consumers' adoption of innovative technology or products. Existing studies have expanded the model by adding related external variables to improve the explanation depending on the type of innovative technology. This study expanded TAM by adding two more variables, namely consumers' technology innovation and clothing involvement considering the feature of smart clothing. The objectives of this study are as follows: 1. to suggest the extended TAM in explaining the adoption process of smart clothing, 2. to verify the differences in the path hypotheses according to the type of smart clothing. A total of 815 effective samples were collected from adults over 20 years old, and AMOS 5.0 package was employed for data analysis. As a result, it was proved that the extended TAM was appropriate for explaining the process of adopting smart clothing according to the path hypotheses of smart clothing types. Technology innovation and clothing involvement were confirmed as antecedent variables in affecting TAM. The perceived usefulness appeared to be a more crucial variable than the perceived ease of use and attitude was found to be an important parameter in adopting smart clothing. Considering the path hypotheses of MP3 playing clothes, perceived usefulness had a direct influence on acceptance intention unlike other types of smart clothing. As for photonic clothes, the influence of perceived ease of use on attitude was supported while it was rejected in the case of MP3 playing clothes and sensing sportswear.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.141-152
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• 2012

This study is a comparatively analyzes innovation tools for developing appropriate business models according to the types of convergence. Firstly, it examines previous studies on the type of convergence, business models, and innovation tools. Based on the understanding of each topic through literature search, it introduces Convergence-Business-Innovation Tools Cube (CBI Cube) model with the concept of developing innovative business models by applying innovation tools under the condition of convergence. In order to quantify (concretize) the concept, we have compared the relative priority of innovation tools for developing business models to find component factors of CBI Cube model through the survey of an expert group by adopting DelPhi method and AHP method. From the result of this study, we expect to be able to make an easier approach to the development of innovative products, services and market as it allo ws to develop business models of value innovation beyond just benchmarking or simple imitation of existing business models.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.13-21
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• 2007

This study focus on the pilot case of a scenic landscape agriculture in Go-Chang county for the innovative rural development strategy related the green tourism in Korea. The Go-Chang county in Jeon-Buk province has been progressed the diversified agricultural crops production region. The Go-Chang county is known as the famous cultural tour place that has the many historical and cultural resources (provincial natural park, traditional music, great stone cluster area, military castle walls, good tasted eel food and wine). But, today, the circumstances of global agricultural free trading situations is rapidly proliferated, it invited the depression of the agricultural incomes in rural regions in Korea. So, the Go-Chang county seeks trying to alternative development methods. The new frontier like scenic landscape agriculture is the one of the innovative strategies in this processes. The Go-Chang county selects and supports the scenic landscape agriculture for the new income production policy in connection with the green tourism. This study finds out the important components of the success of a scenic landscape agriculture for the introduction to the new frontier of peen tourism in Go-Chang county. First the scenic landscape agriculture development must be related the 4 season-ecological cultivation methods connected well-being trends. Second, it will be increased the income level of rural people by the competitive the rural green products and diversified green tourism programs which produced by the efforts of the rural people. Third, the success of scenic landscape agriculture and place marketing of rural green tourism depend on the creative community leaders.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.311-332
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• 2014

Recently, there have been an increasing concern for a continuous growth inside the company due to its being complacent about their present business and not taking challenges for innovation. Corporate entrepreneurship is the one that receives an attention as a breakthrough for this growth. Since it has been perceived as an effective means of promoting an innovation, Korean firms have tried to develop innovative products and businesses, reject hierarchical and rigid organizational culture, and settle more flexible and innovative culture through corporate venturing system. In this research, case studies on three Korean firms'corporate venturing system were conducted. It also investigated differences in operation and vitalization of corporate venturing system depending on the type of how it is implemented in the company by analyzing case studies with combining the type of corporate entrepreneursip's realization and the framework for its vitalization.

• Journal of Fashion Business
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• v.23 no.4
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• pp.112-126
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• 2019

The objective of this study was to investigate visual elements of steampunk fashion and provide base line data for innovative fashion design ideas and products. We investigated design characteristics of steampunk fashion style shown in 3 movies and 3 animations. Based on the investigation, the research drew intrinsic value of steampunk fashion from three brands 'Vivienne Westwood', 'Dolce & Gabbana' and 'Alexander McQueen'. As the research analyzed movies and animations revealing steampunk style, various characteristics were found and assorted into similar categories. Subcategories of steampunk fashion are pluralism, rebellion and heterogeneity. The followings are result of analyzing three designer collection listed above. First, steampunk fashion made by designers used various color and materials to express multi-pluralistic(multiplicity) characteristic. Second, fashion style in collections revealed artistic and experimental design. This adventurous and innovative characteristic is categorized as rebellion feature. Third, steampunk fashion style used mix-match of unexpected materials or unbalanced silhouette to create a complete fashion style by combining styles in duplicity which could've lack harmony. Intrinsic value of steampunk is defined as graffiti of 19th century's science technology and utopia spirit. Longing for past and fantasy was expressed into fashion. Steampunk fashion wants to escape reality and tries to recreate history of the past faded away with technological development. It defines steampunk as freedom, deviation and fantastical utopia in positive point of view. Furthermore, aesthetic implication of steampunk style found in this research can make a boundary of steampunk style clear and become reference for future researches regarding steampunk fashion.

• Journal of Engineering Education Research
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• v.26 no.4
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• pp.22-35
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• 2023

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

• Korea Trade Review
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• v.42 no.1
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• pp.237-256
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• 2017

The members of Food Valley in Netherlands recognised that the networking function is the most important among demand articulation, network formation and innovation-process support. Furthermore, SMEs expect the support of internationalization from Food Valley organization. It is expected that the function of Food Valley which can establish effective network and environment for open innovation will be more significant in the future. Our government also designated Iksan as a national food cluster for preparing the growth of international food market and promoting the effective growth of domestic food industry. As noted earlier in the case of Food Valley, the government should make Iksan Cluster focus on building network for innovation and development of domestic food industry through making innovative environment between food industry and local university. And then, this food cluster will become the center of export of food products and sophistication of domestic food sector.

• Industry Promotion Research
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• v.9 no.3
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• pp.87-100
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• 2024

This study approached the factors affecting companies's sustainable growth by overcoming the valley of death after starting a business from the perspective of technology, market, location, cluster, and INC model, and conducted a case study on success and failure companies in Daedeok Cluster to explore the adequacy and suitability of the main factors of previous studies. The results of this study suggest that location accessibility-based collaboration between innovators is important for the growth of companies in the cluster, and balanced growth such as innovative ideas, market needs, and capability to meet needs is necessary for companies' products and services to create innovative value in the market. This study is worth in that it presents factors for sustainable corporate growth through the analyses of success and failure cases for companies in the Daedeok Cluster. In addition, the research is successful in that it proposed a policy support plan based on collaboration among companies to foster companies in the cluster.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.366-374
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• 2017

In this study, we present a new product strategy corresponding to the needs of the consumer segment in the mobile convergence industry, which is a field with a very high interest, and the implications are as follows. First, we believe that mobile convergence will lead the market for products that are regarded by consumers as innovative. Second, it can be seen that it is more attractive to consumers to dramatically improve existing functions than to add multiple functions that are not so important. Third, the type of convergence preferred by each type of consumer differs. For consumers who are less innovative, less professional and more technologically fatigued, it was shown that breakthrough improvements in existing technologies lead to better evaluations than adding multiple innovations. In addition, highly innovative consumers are more likely to appreciate the addition of a variety of mediocre features, such as less convergent innovations than the existing ones, as well as mobile convergence. Moreover, there was no significant difference in the product attitudes between the consumers with low technological fatigue and the highly innovate ones.