• Tribology and Lubricants
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• v.30 no.2
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• pp.116-123
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• 2014

The objective of this study is to model and simulate the nonlinear lubrication performance of the sliding part between the piston and cylinder wall in a hydrostatic swash-plate-type axial piston pump. A numerical algorithm is developed that facilitates simultaneous calculation of the rotating body motion and fluid film pressure to observe the fluid film geometry and power loss. It is assumed that solid asperity contact, so-called mixed lubrication in this study, invariably occurs in the swash-plate-type axial piston pump, which produces a higher lateral moment on the pistons than other types of hydrostatic machines. Two comparative mixed lubrication models, rigid and elastic, are used to determine the reaction force and sliding friction. The rigid model does not allow any elastic deformation in the partial lubrication area. The patch shapes, reactive forces, and virtual local elastic deformation in the partial lubrication area are obtained in the elastic contact model using a simple Hertz contact theory. The calculation results show that a higher reaction force and friction loss are obtained in the rigid model, indicating that solid deformation is a significant factor on the lubrication characteristics of the reciprocating piston part.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.153-156
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• 2008

In recent years, IPTV attracts great attention along with the digital convergence of communication and media technologies. IPTV combines the advantages of TV and Internet and changes our lifestyle dramatically. In addition, the IPTV service is capable of becoming a new business model which has huge growth potentials in technology-converging marketplaces. This study examines critical factors on the consumer's adoption of the IPTV service. Based on the Innovation Diffusion Theory (IDT), IPTV specific attributes and personal characteristics, we derive eight key factors in the research model. compatibility, ease of use, image, diversity of contents, interactivity, monetary value, social influence, and user satisfaction. Using the partial least square (PLS) method on the data collected through a web-based survey, we test our research model with several hypotheses. From this study, we find that diversity of contents, compatibility and interactivity have a significant indirect effect on the use of IPTV service via user satisfaction, and user satisfaction and social influence also have a significant direct impact on the IPTV use. These findings not only provide practical insights on the consumer acceptance of new technology-converging services, but also help managers to plan their marketing strategies better.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.171-178
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• 2019

Kenzo Tange who had successfully led Japan's early modern architecture has been interested in how to express tradition in the process of realistic creation of architecture since the 1950s. He tried to express the tradition of Japanese architecture in modern architecture in his own way. Tange believed that existing theory of tradition preserving traditional forms would no longer make Japan's tradition international. Therefore, he insisted that through his own 'new tradition', the tradition is maintained only by constant innovation, and that it does not leave traces in the results as a catalyst to stimulate creative activities. Therefore, this study aimed to analyze the concept and characteristics of 'new tradition' which Tange has claimed in his architecture.

• Fourth Industrial Review
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• v.3 no.2
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• pp.27-35
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• 2023

Purpose - In this study, the current author explores how Human Resource Management (HRM) is changing in the context of the Fourth Industrial Revolution (4IR). Understanding the distinctive features of HRM in this day is crucial, given how rapidly industries are changing due to technology. Research design, data, and methodology - This study adopts a thorough literature review methodology to pinpoint and clarify these distinctive characteristics, advancing our understanding of the role of HRM in the modern world. Regarding methodology, this study uses the PRISMA approach to systematically gather pertinent publications from various sources that have undergone peer review. Result - By carefully choosing and examining these studies, the present author was able to identify four crucial HRM traits that are representative of the Fourth Industrial Revolution. The findings emphasizes how common flexible work schedules are. Using data analytics to influence HRM decisions is increasingly important for maximizing hiring, reviewing performance, and fostering organizational growth. Conclusion - By recalibrating their HRM practices in the 4IR, businesses may encourage flexibility, innovation, and employee well-being. This work makes a substantial contribution to both HRM theory and practice and our comprehension of the transformative effects of the 4IR by filling a gap in the existing literature.

• Korean Journal of Community Nutrition
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• v.24 no.5
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• pp.374-383
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• 2019

Objectives: This study analyzed Japanese consumers on their sauce consumption, and assessed the relationship between consumer innovativeness and consumption behavior for new sauce products. Methods: The survey was completed by local consumers visiting Korean restaurants in Osaka, Japan, in September 2018. The demographic characteristics, consumption of sauce, consumer innovativeness, and factors of theory of planned behavior were evaluated. Totally, 150 collected data were analyzed using the IBM SPSS Statistics 25.0 Program (IBM SPSS INC, Armonk, NY, USA). Results: Results of the survey indicate that Japanese consumers purchase a sauce by considering the taste and food utilization. Sauce purchases were maximum at mega markets and supermarkets. The consumer innovativeness for Japanese consumers was based on 3 factors: 'Purchasing adventurous products (3.51 ± 0.96)', 'Active information seeking (4.36 ± 1.11)', and 'Interactive information seeking (4.33 ± 1.02)', where the tendency of 'Active information seeking' was the highest innovativeness factor. Furthermore, higher values of perceived behavior control (4.68 ± 1.21), attitude (4.66 ± 1.41) and subjective norm (4.39 ± 1.28) were revealed, when assessing for theory of planned behavior factors. Correlating the variables of consumer innovation and factors of planning behavior theory, 'Active information seeking' is a positive attribute for attitude (p<0.016), subjective norm (p<0.001), and perceived behavior control (p<0.002). These 3 factors also had significantly positive effects on purchase intention for new sauce product (p<0.000, p<0.000, and p<0.002, respectively). Attitude was determined to be another very influential variable for purchase intention of a new sauce product (B=0.484, t=6.881). Conclusions: The results of this study determine the consumption patterns of sauce for the Japanese consumer, and the relationship between consumer innovativeness and consumption behavior for Korean traditional sauces. We believe the data generated from this study will help determine a marketing strategy to enter the Japanese market.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.253-270
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• 2023

Research on investment determinants of accelerators, which are attracting attention by greatly improving the survival rate of startups by providing professional incubation and investment to startups at the same time, is gradually expanding. However, previous studies do not have a theoretical basis in developing investment determinants in the early stages, and they use factors of angel investors or venture capital, which are similar investors, and are still in the stage of analyzing importance and priority through empirical research. Therefore, this study verified for the first time in Korea the discrimination and effectiveness of investment determinants using accelerator investment determinants developed based on the business model innovation framework in previous studies. To this end, we first set the criteria for success and failure of startup investment based on scale-up theory and conducted a survey of 22 investment experts from 14 accelerators in Korea, and secured valid data on a total of 97 startups, including 52 successful scale-up startups and 45 failed scale-up startups, were obtained and an independent sample t-test was conducted to verify the mean difference between these two groups by accelerator investment determinants. As a result of the analysis, it was confirmed that the investment determinants of accelerators based on business model innovation framework have considerable discrimination in finding successful startups and making investment decisions. In addition, as a result of analyzing manufacturing-related startups and service-related startups considering the characteristics of innovation by industry, manufacturing-related startups differed in business model, strategy, and dynamic capability factors, while service-related startups differed in dynamic capabilities. This study has great academic implications in that it verified the practical effectiveness of accelerator investment determinants derived based on business model innovation framework for the first time in Korea, and it has high practical value in that it can make effective investments by providing theoretical grounds and detailed information for investment decisions.

• The Journal of Information Technology
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• v.7 no.4
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• pp.89-101
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• 2004

This study, Based on the study theories of up to the present was to a consumer's shopping motive, the process of choice and the theory of a consumer's store choice by his or her preference. It investigates the components of store image referring many thesis from documents of domestic and foreign countries. The major findings of from study an as follows: First, as general characteristics of samples, the component ratio of women is much higher than that of men. As for marital status, married consumers are large in numbers, and for educational back ground, high educated young couples go shopping frequently at department stores. As for ages, consumers under the 30s take great part in, for the occupation, many are housewives and for the average income of a month, under one million won income earners are major consumers. Second, about shopping motive, married ones do it for refreshing themselves, but for singles, they do shopping for the pleasure of bargain sales. The most important reason which influences on the shopping motive is 'pleasure of bargain sales' regardless of all ages. Third, according to the analysis of shopping motive and the characteristics of 15 store images, there are noteworthy differences statistically in shopping motive, attraction and reliance on advertisement, an atmosphere of a store and the degree of crowdedness.

• Journal of Environmental Impact Assessment
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• v.24 no.2
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• pp.119-133
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• 2015

The paper reports on exploratory research into the factors influencing adoption of low impact development (LID) regulations by local government. The research uses ten case studies ranging from low to high level adoption of LID in Virginia. Based on the theory of diffusion of innovations, perceived characteristics of LID, characteristics of the adopting local government, motivations of the adopter, and the surrounding organizational context of the adopter are chosen for the key factors influencing on LID adoption. By reviewing the local governments regulations related to stormwater management, meeting minutes, reports and documents, and in-depth interviews, the evaluation of the key factors and the local LID adoption was conducted. As a result, adopters with a high level of LID adoption at the time of the study were heavily influenced by champions of LID within local government and communities. In contrast, moderate level adopters and low-level adopters emphasized the importance of external forces like state regulatory mandates and the need for clear models to implement.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.1-26
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• 2016

The period after the PhD has a huge impact on the careers of researcher from a researcher lifecycle perspective. This is a turning point which student receives guidance from professor and become an independent researcher. Furthermore, they learn to develop ideas for independent research, apply for grants and manage a project; they also form expert networks in related filed and publish papers to share their findings. This study focuses on the period between earning doctoral degree and being employed as a stable position in university. This study starts from a research questions that asks which factors of postdoctoral experience affect research output. In this study, the paper performance, especially co-authorship of paper, of postdoctoral researchers was investigated. The cumulative advantage theory and Matthew effect were employed to shed a light on this research question. The empirical work is based on the Survey & Analysis of National R&D program in Korea conducted by Korea Institute of S&T Evaluation and Planning (KISTEP). The correlations between the research output and characteristics of postdoctoral experience were verified. These results are expected to contribute as new empirical evidences on investigating knowledge transfer activities of new PhDs.