• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.101-115
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• 2009

This study analyzed the diffusion process of digital convergence products focused on camera phon to compare the traditional adoption-diffusion model with use-diffusion model proposed by Shih and Venkatesh(2004). The results suggested that observability, perceived usefulness, innovativeness, relative advantage have effects on the intention of repurchase in the adoption-diffusion model. On the other hand, the intention of repurchase has been affected by technological sophistication, satisfaction, innovativeness, relative advantage in the use-diffusion model. These results imply that the traditional adoption-diffusion model could be applied to the cases of the digital convergence products. In addition, the results also show that the use-diffusion model is superior to the traditional model in analyzing the diffusion of digital convergence products.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.63-72
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• 2005

The purpose of this study is finding factors affecting the decision of Web-based learning system (Edunet) use and searching for ways to diffuse Edunet use. Based on the diffusion of innovations theory and the results of the previous studies about web-based instruction, seven predictors influencing the decision of Edunet use were extracted. Seven variables as the followings; (1) perceived attributes of innovation (Relative Advantage, Compatibility, Complexity) (2) Innovativeness (3) Self-efficacy (4) Subjective Norm (5) Support. The participants were 315, 5-6th grade elementary school students, and the questionnaire was 20-item with 7-point Likert scales. To analyze the collected data and test the hypothesis, binary logistic regression was employed. The result indicated that the fitness of regression model including seven decision factors was proved. In addition, two factors, subjective norm and support, were identified as the important decision factors of Edunet use.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.113-127
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• 2020

Based on the social exchange theory and innovation diffusion theory, this study is to identify the correlation between factors influencing investor's funding intention in crowdfunding and to analyze moderating effect of trust in the relationship of shared value, communication and individual innovation. The purpose of this study is to consider the funding trends of crowdfunding investors from a personal point of view through the results of the study and to help fundraiser of crowdfunding establish specifically strategies for financing. In order to conduct empirical analysis, an online survey was conducted on people who had participated in crowdfunding, and a total of 228 questionnaires were collected and a total of 186 responses were finally analyzed, excluding outliers. For data analysis, structural equation model analysis was conducted using SPSS 26.0 and Smart PLS 3.0. The results of this study showed that shared value in the relationship between fundraiser and investors has a significant effect on the perceived risk. High level of communication between fundraiser and investors showed positive effects on the level of commitment of the crowdfunding project and the innovation of the individual investor. And commitment had a positive effect on the funding intention. According to the results of this research, trust has moderating effect only in relationship between shared value and perceived risk. It is significant that investors share the value of fundraiser together is a motivation factor to fund in crowdfunding and an opportunity to recognize the risk. Through this study, it is expected to utilize them in establishing strategies for start-ups and marketing plans to raise funds through crowdfunding and to empirically identify factors influencing the funding intention through individual levels of crowdfunding investors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.436-441
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• 2005

RFID란 무선인식기술을 말하는 것으로써 무선으로 사람, 물건, 동물 등을 인식, 추적, 식별할 수 있는 기술이다. 이러한 RFID에 대하여 많은 관심이 증대되고 있는 현실속에서 RFID를 도입함으로써 많은 효익을 얻을 것이라는 예측에도 불구하고 아직까지 대부분의 기업들은 RFID 도입에 적극적이지 못하고 있는 실정이다. 이에 따라 본 연구에서는 RFID 도입을 혁신의 한 유형으로 보고, 혁신모형에 기반하여 RFID 도입에 영향을 미치는 요인을 파악하여, 현재 RFID를 도입한 기업 및 도입을 고려중인 기업을 대상으로 RFID도입에 영향을 미치는 요인에 대한 실증분석을 실시함으로써, RFID가 경쟁도구로서 기업에 보다 빨리 확산되고 활성화 될 수 있는 효율적이고 체계적인 방향을 제시하고자 한다. 이를 위하여 혁신이론에 관한 선행연구를 기초로 RFID 도입이 혁신에 적합한지를 확인하고, 기술적 요인을 RFID 도입에 대한 영향정도를 살펴보았으며, 거래업체와의 관계특성요인(파워)에 대한 조절효과도 검증하였다.

• Journal of Technology Innovation
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• v.27 no.3
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• pp.113-142
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• 2019

Based on the Knowledge Spillover Theory of Entrepreneurship, this study analyzes the relationship between technological entrepreneurship and national competitiveness. It also analyzes how innovation-driven economy moderates this relationship. Using data on technological entrepreneurship, national competitiveness indexes and economy development stages from 83 countries over 2011 to 2014, this study finds that a ratio of technology-based start-ups in a country has a U-shaped relationship with national competitiveness. this study also finds that countries that are in the innovation-driven economy strengthen this relationship. This finding shows that a higher ratio of technology-based start-ups of a country does not have unconditional positive effects on national competitiveness, thus, related environments and conditions should be elaborately matched. In particular, this finding also implies that policies related to technology-based start-ups should have a proper fit with the level of economic development of the country so that the positive effects of technological entrepreneurship on national competitiveness can be strengthened.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.356-363
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• 2014

With Sales of bundling service in telecommunications service are on the increase due to continuous technology progress and the raised demand into convergence and integration service. In this paper, we analyzed the tendencies differences between subscriber and non-subscriber of the bundling service in telecommunications service to establish marketing strategies of the bundling service. we derived the subjective norm and personal innovation as tendency variables of users in using LTE(Long Term Evolution) services, which are based on bundling sales motivation theory, theory of reasoned action, and diffusion of innovation theory. The tendency variables were compared between subscriber and non-subscriber of the bundling service through statistical T-test in empirical study. As a result, we discovered that there are differences in both subjective norm and personal innovation between subscriber and non-subscriber of the bundling service. We also discovered that the subjective norm and the personal innovation of subscriber are stronger than non-subscriber. At last, we derived two implications to increase the sales of the bundling services. First, the bundling service should designed more innovative. Second, it would be effective to apply buzz marketing strategies based on the surrounding people.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.175-196
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• 2012

Compared to the wide spread of convergence in government and industries there are still lack of theoretical foundation and effective methodologies to successfully implement it. Especially, there are few remarkable results on the ideal types of convergence business model (BM) in both domestic and foreign researchers. In this paper we show theoretical types, strategic alternatives, and design steps of convergence BM could be developed based on '4WH1H model' which is a conceptual framework of a BM. 4W1H model includes 5 constituents of a BM, i. e., customer value, value proposition, operation, target market, and supply capability. We derive 5 theoretical types of convergence BMs depending on the focus of innovation, i.e., value, product, operation, market, and capability. After defining the constituents and types (i.e., structural aspects) of convergence BM, we also show a BM could be linked with business strategy by defining the interaction among 5 constituents (i.e., behavioral aspects) of convergence BM.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.205-211
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• 2020

The method of predicting the future may be predicted by technical characteristics or technical performance. Therefore, technology prediction is used in the field of strategic research that can produce economic and social benefits. In this study, we predicted the future market through the study of how to predict the future with these technical characteristics. The future prediction method was studied through the prediction of the time when the market occupied according to the demand of special product. For forecasting market demand, we proposed the future forecasting model through comparison of representative quantitative analysis methods such as CAGR model, BASS model, Logistic model and Gompertz Growth Curve. This study combines Rogers' theory of innovation diffusion to predict when products will spread to the market. As a result of the research, we developed a methodology to predict when a particular product will mature in the future market through the spread of various factors for the special product to occupy the market. However, there are limitations in reducing errors in expert judgment to predict the market.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.173-187
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• 2018

After Satoshi Nakamoto published 'Bitcoin: A peer-to-peer electronic cash system' in 2008, Blockchain has been GPT (General Purpose Technologies) that affect the whole cycle of the $4^{th}$ Industrial Revolution. This study attempted to identify the innovativeness of Blockchain. Because of Blockchain's ambidextrous characteristics, Blockchain has two kinds of innovativeness, technological innovation by physical technology and social innovation by social technology. Thus, this study will be useful to increase understanding and establishing strategy for Blockchain.