• Convergence Security Journal
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• v.20 no.2
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• pp.77-83
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• 2020

According to a statistical survey, despite the continuous improvement of the economic level, the participation rate of donations is decreasing. As a cause of this phenomenon, the problem of reliability of donation organizations is a big part. In order to increase viewers' intention to donate, this study developed a donation campaign linked data service that shows information that can increase the credibility of donation organizations and storytelling of donation recipients. Specifically, a user scenario of a data service that is properly operated in conjunction with a donation campaign that is broadcast shortly was defined, and a user interface was designed by reflecting the characteristics of the TV platform. In addition, a prototype based on the DVB-MHP standard was developed to analyze the effect of the data service utilization on viewers' intention to donate.

• Journal of Korean Society of Rural Planning
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• v.17 no.4
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• pp.1-11
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• 2011

This study analyzed push, pull motivation factors and satisfaction of visitors who visited Yangdong village in order to maintain, conserve and seek for effective utilization of this village. The result of this study was summarized as follows. Firstly, the result was that 'personal relations' has a positive impact on 'regional environment' and 'amenities', 'the pursuit of knowledge' has a positive impact on 'regional environment' and 'amenities' on the correlation between the visit motivation and the visit satisfaction. Secondly, 'the pursuit of knowledge' and 'the desire to new experience' have positive impact on the visit satisfaction on a part of the push factor generally. Physical environment was a only factor that has a positive impact on the visit satisfaction on a part of the pull factors. Thirdly, the intention of recommendation was a only factor to has a positive impact on the visit satisfaction on the correlation between the intention of return visit, recommendation and the visit satisfaction. It was proved that the intention of return visit was strongly associated with the intention of recommendation. This result of this study confirmed the important pull and push factor to enhance the tourist attraction of Yangdong village. It will be helpful to make the preliminary data for planning and conservation guidance of traditional village.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.137-145
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• 2015

Mobile's health care and diagnostic capabilities are accepted as the most innovative sectors, and the combination with wearable device is being predicted as the future's most promising industries. However, the level of consumer acceptance and utilization is still insufficient compared to the development of technology. This study explores the use intention of wearable device based on previous studies about health apps. In particular, health-related use efficacy of the app, app use intention and app satisfaction are analyzed through a structural equation model. The use of health-related apps revealed that there is a statistically significant relationship with the use of the wearable device. The results suggest that the importance of app use efficacy, satisfaction, apps use should be considered for the successful diffusion of wearable health devices.

• Culinary science and hospitality research
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• v.16 no.1
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• pp.226-238
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• 2010

This study investigates the recovery of trust and provision of a contract between a franchiser and a franchisee in the food service industry. It has come to the following results after analyzing the inter-affections among the franchisers' conditions, the trust level of their support and their intention to contract. First, such factors as experience, confidence, and expertise of a franchisee have significant effects on the terms of a franchiser. Second, ad support, experience, expertise, confidence, and capital factors have significant effects. Third, such factors as history of a franchiser, the number of its franchisees, its brand have significantly influence on trust. Fourth, educational support, utilization of job instruction and purchasing of packages have significant effects on intention to contract.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.481-494
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• 2015

Recently mobile application providers and telecommunication companies went through a difficult time in a highly competitive mobile and its application market where we've seen a huge trend for diverse mobile applications occurring on smart phone. If there were a time when those of companies need to analyze factors affecting users' intention to download or recommend others applications more than ever, it is now. Based on UTAUT model, this research is to provide them with strategic implications by analyzing those factors according to application types with utilization and hedonic values. As a result, firstly trust and personalization have positive impact on Performance Expectancy and users' intention to use have been significantly affected by Performance Expectancy and Effort Expectancy. Secondly the result of path analysis has a different outcome according to application types with utilization and hedonic values. Therefore it is expected that the research gives practical and strategic implication for application developer, mobile companies and others helping application development, new service launch and marketing implementation.

• Journal of Marine Bioscience and Biotechnology
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• v.15 no.2
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• pp.67-81
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• 2023

This study examines a business survey on the utilization of fishery by-products with the aim to assess the feasibility of incorporating these by-products into various industries. The research involved surveying 312 biocompanies across the country and conducting an empirical analysis based on the collected data. South Korea, a leading seafood-producing country with a developed seafood processing industry, provides conditions necessary to utilize seafood by-products as raw materials for the marine bioindustry. Among the surveyed biocompanies, 38.5% expressed their intention to engage in industrial activities involving the use of fishery by-products in the future, indicating a significant level of interest within the bioindustry in utilizing marine and fishery by-products. Companies showed interest in diverse materials, such as scales, fish bones, skin, and kelp holdfast beyond those currently defined under the Fisheries By-products Recycling Promotion Act (officially unnamed, 2021). This suggests a need for improvements in the regulatory framework to accommodate these diverse biomaterials. Furthermore, we propose enhancing the efficiency of fishery by-product utilization by focusing on regional specialization in marine bioindustry. This involves utilizing existing legal framework for upcycling fishery by-products and fostering a regionally specialized marine bioindustry.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.333-349
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• 2021

As information is recognized as an important asset of an organization, organizations are increasing their resource input for knowledge management. In particular, the enterprise content management system(ECMS) is a solution for organization-oriented content management, and it has high utility by helping to achieve business performance through systematic utilization of content and improve the level of internal information security. The purpose of this study is to suggest a plan to improve the intention to use organizational employee's ECMS and to suggest the effect of the relationships between information system quality characteristics and work environment characteristics on intention to use. In this study, a research hypothesis was presented based on previous studies, a questionnaire was conducted on workers of organizations that adopted an ECMS, and the hypothesis was verified by applying structural equation modeling. As a result of the analysis, information and service quality of the ECMS and task interdependence increased the intention to use, but task conflict decreased the intention to use. In addition, task interdependence and task conflict moderated the positive relationship between the quality factors of the ECMS and the intention to use it. This study has implications in terms of suggesting the direction of the organization's behavior through factors that increase the use of ECMS.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• Asian Journal of Business Environment
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• v.11 no.2
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• pp.5-13
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• 2021

Purpose: This paper aims to study the fishing capacity of the shrimp trawlers in the Aru and Arafura Sea. Research design, data and Methodology: The abundant shrimp resources call for its sustainable use to advance economic activity. Time-series data of effort and catch from shrimp trawlers from 1980-2015 were utilized. The technical efficiencies of the vessels and the target capacity of the shrimp fishery were estimated using Peak to Peak Method. Results: Arafura's shrimp fishery presents high technical efficiency, which is suggested by the high scores of its fishing capacity utilization. The issuance of a ministerial decree on the prohibition of the use of trawls has impacted the plummeting of Arafura's shrimp trawler production right after the regulation implemented in 2015, which is far below the total production of the Arafura's shrimp trawler in 1980. Today, the Aru and Arafura Sea has different sets of fishing gears that are dominated by Squid Jigging and gillnet vessels. Conclusions: Arafura shrimp fishery performs high technical efficiency, which is indicated by the high utilization value of its catching capacity ranging from 71% to 100% annually from 1980 to 2015 This has shown that the resource-utilization has shifted from shrimps to other economically important species during the post trawl ban such as squid and pelagic. Any future intention to utilize shrimp resources, interaction of gears harvesting shrimp with current gears should be well considered in the policy making process.