• Information Systems Review
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• v.21 no.3
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• pp.87-110
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• 2019

The Fintech services provide innovation to financial services users using various mobile devices and computers in wired and wireless communication environments. In this study, we develope a theoretical research framework to explain the psychology of Fintech services users based on a cognitive, affective, and conative framework. Using this framework, this study analyzes the relationships between the cognitive characteristics (i.e., innovation, relative advantage, ease of use, and usefulness), emotional characteristic (i.e., attitude), and behavioral characteristic (i.e., actual use) toward Fintech services users. This study conducted an online survey of people who have experienced using Fintech services. And the data of the collected Fintech services users was analyzed using structural equation model software (i.e., SMART PLS 2.0 M3). The results of the empirical analysis show the relationships between innovation, relative advantage, perceived usefulness, perceived ease of use, attitude, and actual use of Fintech service users. The results of this study provide useful information to improve the practical use of Fintech services users in the Internet of Things (IoT) environment.

• Current Optics and Photonics
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• v.8 no.2
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• pp.162-169
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• 2024

This study investigates the temperature sensitivities of fiber Bragg grating (FBG) across a broad temperature spectrum ranging from -196 ℃ to 900 ℃. We developed the FBG temperature measurement system using a high-temperature tubular furnace and liquid nitrogen to supply consistent high and low temperatures, respectively. Our research showed that the FBG temperature sensitivity changed from 1.55 to 10.61 pm/℃ in the range from -196 ℃ to 25 ℃ when the FBG was packaged with a quartz capillary. In the 25-900 ℃ range, the sensitivity varied from 11.26 to 16.62 pm/℃. Contrary to traditional knowledge, the FBG temperature sensitivity was not constant. This inconsistency primarily stems from the nonlinear shifts in the thermo-optic coefficient and thermal expansion coefficient across this temperature spectrum. The theoretically predicted and experimentally determined temperature sensitivities of FBGs encased in quartz capillary were remarkably consistent. The greatest discrepancy, observed at 25 ℃, was approximately 1.3 pm/℃. Furthermore, it was observed that at 900 ℃, the FBG was rapidly thermally erased, exhibiting variable reflected intensity over time. This study focuses on the advancement of precise temperature measurement techniques in environments that experience wide temperature fluctuations, and has considerable potential application value.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3761-3771
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• 2010

This study, based on social capital theory, aims to explore how social network characteristics among organization members affect the absorptive capacity which is the ability to recognize the value of new information, assimilate it, and apply it to commercial ends. This paper also empirically investigates how the absorptive capacity will have an effect on organizational innovation performances toward achieving competitive advantages in the knowledge society. According to the degree of relationship intensity, social network shows two different characteristics: strong tied network and weak tied network. As strong tied network and weak tied network have relatively different network characteristics, this study assumes that each network affects the absorptive capacity with different aspects. Furthermore, we consider the moderation effect of a social network manager's ability in the relationship between social network and absorptive capacity. We surveyed innovative project performers who are engaged in the knowledge based industries. The empirical analysis results show that both strong tied and weak tied network positively affect the absorptive capacity. Successively, the absorptive capacity also has a positive impact on innovation performances.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.969-991
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• 2018

The aim of this study lies on verifying the mediation effect of organizational justice in the relationship between R&D personnel's job characteristics and organizational performance within their Government-sponsored research institute. For this, a survey was conducted on 362 R&D personnel members from 25 state-sponsored research institutes under National Research Council of Science & Technology, and then, a multiple regression analysis was used to seek any possible relationship. As a result, job characteristics such as autonomy and feedback were found to have positive (+) influence on organizational commitment. In addition, the result of the mediation effect of organizational justice indicated that the impact was made only by autonomy. This study finds its significance in the fact that it revealed the relationship between job characteristics and job satisfaction among R&D personnel in state-sponsored research institutes who have rarely been the source of objectives in related studies, and that it revealed organizational justice mediated the relationship.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.161-175
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• 2023

The purpose of this study is the effects of Social Characteristics and Personal Characteristics on Virtual Asset Purchase Intention. TPB (Theory of Planned Behavior) model is validated as a theoretical background. possessiveness, and innovation tendency, herding, subjective norm, attitude, and Purchase intention were composed of variables. The method of the study collected 474 data of those experienced in NFT through a survey and conducted as a structural equation modeling method using AMOS. The result of this paper shows that 4 hypotheses are accepted statistically significant except 1 hypotheses among 5 hypotheses. Therefore, this study demonstrated the factors that influence the purchase intention of non-fungible tokens. This study concluded that possessiveness, herding, subjective norm, attitude had a statistically significant effect on Purchase intention. NFT research is just getting started, and there are not many empirical studies targeting investors, interested people, and companies. In this respect, this study will be able to provide useful information for NFT research.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.32-42
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• 2013

As the smartphone market grows, the needs for its new business model are also increased. However, most previous researches on smartphone applications focused on Technology Acceptance Model(TAM) and Rogers' Diffusion of Innovation Theory so that there was lack of researches on characteristics for actual smartphone users. In this research, we divided the smartphone applications into five category functions (Call & Text/Music & Video/Information Search/Game/Social Network Service (SNS)). We analyzed characteristic differences of users who used the each application category and found that the differences were statistically significant in both demographic and smartphone usage characteristics (frequency of downloading applications, and download experience of paid applications). Additionally, the smartphone usage characteristic is closely related to the usage duration. The representative result is that the characteristics of people used Music & Video function actively were women in their 20s who downloaded applications more than three times per week, and had a download experience of paid applications. It is positive result for players in the application markets, because it means the users are willing to pay for downloading the paid applications. However, large companies already occupied most of the market share in music applications so that small and medium-sized players should develop an innovative and distinguishable business model in order to success. We believe this research result would provide significant implications for the players in planning the successful business model and developing an user-specific application product.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.159-182
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• 2018

The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.128-137
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• 2015

Going through rapid changes, the field of information technology (IT) has launched many innovative products. Some of those products have spread, forming a stable market, whereas others have disappeared. The purpose of the study is to purpose a theoretical model to show changes in the importance of competition factors over the three stages. Our study applied the innovation adoption stage model of the Innovation Diffusion Theory (IDT) to the industry life cycle of the Industry Life Cycle (ILC) Theory resulting in three stage of introduction, growth, and maturity, and defined a model of market characteristics according to time. By using the model, we analyzed the case of notebook computers and tablet and checked the fitness of the model. Results show that five competition factors worked differently according to time. In the introduction stage, relative functionality and relative playfulness are important competition factors. In the growth stage, compatibility is added to those two factors. In the last maturity stage, compatibility, complexity, and cost level are important competition factors.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.149-174
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• 2006

Although conceptual and empirical researches on the technological learning is increasing rapidly, a few empirical researches of technological learning processes have been undertaken, taking into account a reality of learning processes of a firm. In order to analyze the learning processes of technological knowledges, based on integrative organizational learning theory, this study investigated technological learning processes by analyzing 13 technology development projects of one company with case study research design. Results of the empirical analyses suggested two taxonomy of technological learning processes. First are tour group of technological learning processes derived by the dimension of flow of cognitive and behavioral learning which is explained by the technological competency level of a firm. The other is two group of technological learning processes derived by the dimension of relative difficulty of cognitive and behavioral learning which is explained by the technology characteristics. Finally, the managerial implications for effective management of technological learning and limitations are discussed.

• International Journal of Contents
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• v.16 no.2
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• pp.92-101
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• 2020

Industrial integration is the innovative embodiment of regional economic theory. The promotion of industrial integration is conducive to improving the scale effect and spillover effect of the industry. Also, it has the power to radiate, drive, and lead the innovation and development of the whole industrial cluster. The purpose of this paper was to identify the most suitable development pattern of the ice-snow sports tourism industry in Zhangjiakou, one of the host cities of the 2022 Winter Olympics. This study combs the characteristics of the development of the ice-snow sports industry, and analyzes the current situation of the industry in Zhangjiakou based on the SWOT-AHP method. This paper argues that the integrated industry is the most suitable development pattern for the promotion of the ice-snow culture industry in Zhangjiakou. The following content will present effective countermeasures to accelerate the development of the ice-snow culture industry integration in Zhangjiakou from three aspects: industrial resource integration, industrial chain layout, and scientific and technological innovation. The IT live simulation technique facilitates identifying some vital elements during the data collection.