• Korean Journal of Organic Agriculture
• /
• v.11 no.4
• /
• pp.15-37
• /
• 2003

Recently, production-consumption quantity and market size of environment-friendly agricultural products(EFAP) have been increased. Consumers have demanded food safety and nutrition of EFAP, but in the near future they will need many kinds of item, relatively low price and high quality. So producers have to make an effort for down-cost, increasing items and developing technical know-how, which can be attained by producer/region organization. Correlation coefficient between the recognition degree for certification system and purchasing amounts at a time is higher than other ones. Therefore public information works using the TV and newspaper must be promoted all the more about certification system. And if the consumer’s satisfaction level of EFAP purchased gets higher, the quantity demanded will be increased more. And consumer’s trust on EFAP is derived from certification system or close relation between producers and consumers. Thus the most important thing of marketing strategies for EFAP is continuously to focus on explanation and information works on certification system by region in metropolitan area. Also, it necessary to introduce green marketing principles and apply to strategies item type. Namely those need to establish target market segmentation And marketing strategy stages according to the green degrees of market And commodity.

• The KIPS Transactions:PartC
• /
• v.17C no.4
• /
• pp.315-326
• /
• 2010

Today's society is being caught in a whirlpool of change that is not behind the Industrial Revolution, the Reformation and so on. Technological determinism is the most general perspective that explains information society. It is the belief that information technology will bring about a particular form of information society. It is the opinion that the sequence of change of technology is inevitable and asks for a particular social change(Kim, 2006). When technology asks for it, however, not only the degree of technological development but also the credibility of the degree of technological development plays an important role in changing a society. This study was implemented based on the opinion that social change and individual change can vary depending on the degree of trust of people in the Internet technology. This study analyzes preferences of real-name system depending on the credibility of anonymity on the Internet and its influences on the behaviors of users, focused on the survey on the difference between ordinary users and users related to the Internet business. It also suggests not only the potential and the appropriateness of anonymity on the Internet, but also measures to alleviate adverse effects of it. Lastly, the objective of this study is to offer a dispute of real-name system and the standard of the anonymity policy on web sites.

• Journal of Distribution Research
• /
• v.11 no.4
• /
• pp.97-124
• /
• 2006

This study investigates the relationship between the relationship marketing factors, relationship quality and store loyalty in retail specialty stores. The customization of a retail specialty store was found to be having a larger effect on relationship quality than other factors such as expertise, bonding and communication and the moderating effects of customer characteristic was found be having a larger effect on relationship quality all factors except to communication. The result of this study has some practical implications. First of all, the customization strategy for individual customers is needed because customers trusted employees who provide a customized service more. Second, the employees' expertise is important to obtain the trust of customers. Third, the findings of the study showed that the communication with employees did not affect the trust. Rather, customers more often want price discounts, useful information, other benefits related to transactions. The communication is also necessary to bond a strong relationship with customers, as well as to respond customer's requests immediately Fourth, the marketing managers of the store have to effectively manage the customer relationship with the special consideration to the customer's gender, transaction experience, and variety seeking disposition.

• Nuclear Engineering and Technology
• /
• v.42 no.4
• /
• pp.339-364
• /
• 2010

Following a joint OECD/NEA-IAEA-sponsored meeting to define the current role and future perspectives of the application of Computational Fluid Dynamics (CFD) to nuclear reactor safety problems, three Writing Groups were created, under the auspices of the NEA working group WGAMA, to produce state-of-the-art reports on different aspects of the subject. The work of the second group, WG2, was to document the existing assessment databases for CFD simulation in the context of Nuclear Reactor Safety (NRS) analysis, to gain a measure of the degree of quality and trust in CFD as a numerical analysis tool, and to take initiatives to extend the existing databases. The group worked over the period of 2003-2007 and produced a final state-of-the-art report. The present paper summarises the material gathered during the study, illustrating the points with a few highlights. A total of 22 safety issues were identified for which the application of CFD was considered to potentially bring real benefits in terms of better understanding and increased safety. A list of the existing databases was drawn up and synthesised, both from the nuclear area and from other parallel, non-nuclear, industrial activities. The gaps in the technology base were also identified and discussed. In order to initiate new ways of bringing experimentalists and numerical analysts together, an international workshop -- CFD4NRS (the first in a series) -- was organised, a new blind benchmark activity was set up based on turbulent mixing in T-junctions, and a Wiki-type web portal was created to offer online access to the material put together by the group giving the reader the opportunity to update and extend the contents to keep the information source topical and dynamic.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.16 no.1
• /
• pp.111-129
• /
• 2020

The differentiators of this study are as follows. I would like to consider the factors that the compensation, considering the characteristics of the members of the ICT construction company, affects the turnover and suggest ways to promote the welfare of ICT construction company members in the fourth industrial revolution. The purpose of this study is to look at how perceived compensation affects the degree of turnover by members of small ICT construction companies through organizational Commitment and job placement. Specifically, the independent variable looks at the causal relationship between organizational civic behavior and organizational trust through Turnover intention. First, in the fourth industrial revolution, the management of the tasks of members of ICT construction companies was found to have a positive impact on their organizational immersion and job alignment. Second, in the fourth industrial revolution, the management of wages by members of ICT construction companies was found to have a positive impact on organizational immersion and job alignment. Third, in the fourth industrial revolution, the promotion management of members of ICT construction companies did not have a positive impact on their organizational immersion and job alignment Fourth, in the fourth industrial revolution, the concentration of members of ICT construction companies' organization is found to have a positive influence on turnover. Fifth, in the fourth industrial revolution, the job alignment of members of ICT construction companies was found to have a positive impact on turnover.

• Journal of Navigation and Port Research
• /
• v.31 no.8
• /
• pp.741-750
• /
• 2007

The purposes of the study are as follows; First, to find out valid variables from preceding studies which expedite and revitalize the electronic information sharing between shipping company and container terminal and (to) verify the effect empirically. Second, to examine the impacts of electronic information sharing between shipping company and container terminal on performance by empirical research. The results are as follows; First, the degree of support by the CEO, the stage of information technology infrastructure, committment and dependence were proved as valid factors affecting the electronic information sharing between shipping company and container terminal. Second, it was proved that the electronic information sharing between shipping company and container terminal has influenced on the performance.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.5
• /
• pp.179-186
• /
• 2021

Manipulation of complex objects with an anthropomorphic robot hand like a human hand is a challenge in the human-centric environment. In order to train the anthropomorphic robot hand which has a high degree of freedom (DoF), human demonstration augmented deep reinforcement learning policy optimization methods have been proposed. In this work, we first demonstrate augmentation of human demonstration in deep reinforcement learning (DRL) is effective for object manipulation by comparing the performance of the augmentation-free Natural Policy Gradient (NPG) and Demonstration Augmented NPG (DA-NPG). Then three DRL policy optimization methods, namely NPG, Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO), have been evaluated with DA (i.e., DA-NPG, DA-TRPO, and DA-PPO) and without DA by manipulating six objects such as apple, banana, bottle, light bulb, camera, and hammer. The results show that DA-NPG achieved the average success rate of 99.33% whereas NPG only achieved 60%. In addition, DA-NPG succeeded grasping all six objects while DA-TRPO and DA-PPO failed to grasp some objects and showed unstable performances.

• International Commerce and Information Review
• /
• v.12 no.2
• /
• pp.59-83
• /
• 2010

The purposes of the study is to evaluate the discrepancy between user's expectation and satisfaction degree in the service of uTradeHub. In this regard, this study infers general solutions in order to induce the intersection area using IPA technique. Then this paper will present directions to improve the service of uTradeHub. In terms of methodology, this article disclosed that IPA model approach is greatly useful to evaluate user's attribute. First, variables like the link of different works(f1), trust of system(f4), information connection(f7) are located on the first quadrant. This means that importance and satisfaction are all high variables for user. So, this is very important variables that need continuous administration in order to maintain present state. Second, variables such as the speed of information acquisition(f2), improvement of use(f3), stability of system(f5) are located on the second quadrant. This means that user's importance is high but user's satisfaction is low. Therefore, this area needs an active improvement strategy and quick maintenance for e-Trade application. Third, variables like the appropriateness of information usage fees(f8), easy subscription(f9), customer support service(f10) are located on the third quadrant. Because these variables are all low for user's importance and satisfaction, we have to arrange strong and radical remedy for e-Trade service. Finally, variables like information offer(f6) are located on the fourth quadrant. This means that user's satisfaction is high but user's importance is low. The research result suggests that e-Trade service development would be re-organised as much as user feels the importance of process innovation.

• Journal of Venture Innovation
• /
• v.3 no.2
• /
• pp.41-76
• /
• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• The Research Journal of the Costume Culture
• /
• v.16 no.1
• /
• pp.181-203
• /
• 2008

This study suggests a model to identify relationships between Supply Chain Partnership(SCP) and the performance of Supply Chain Management(SCM) based on apparel companies and outsourcing suppliers of finished products that are in a position of getting into Supply Chain Level on apparel industry. This research model is based on an integrated model including a relationship between relationship formation factors and partnership strengthening factors in SCP; and supply chain performance a result of that relationship. The formation factors of SCP affect emotional elements(trust, commitment) of strengthening factors, and they, in turn, impact the performance of a supply chain through behavioral elements(collaboration, information sharing)16 hypotheses were formulated to research the degree of impact of SCP on supply chain performance. Theoretical and empirical research was executed in parallel to achieve the objectives of this study. Empirical research involved a research methodology using surveys. Survey target audiences were limited to designers and merchandisers over five years of experience with apparel companies and outsourcing suppliers for finished products operating mainly in Korea. SPSS 12.0 for Windows and AMOS 5.0 were used for data and statistical analysis. Reviewing the result of research model and identification of each hypothesis, total 11 from 16 hypotheses set by this research were selected, 5 hypotheses were dropped, and 4 meaningful paths were added.