• International conference on construction engineering and project management
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• 2020.12a
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• pp.291-300
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• 2020

Newly graduated students are shown to constitute an important source of innovation within the architectural, engineering and construction (AEC) industry. In relation to digital technologies like BIM (Building Information Modelling) that is claimed to have a potential to transform the industry, newly graduated students may play a vital role in innovating with BIM. The paper aims to explore determinants for students perceived potential of BIM use (PPBU) and the role of the educational background. The aim will be achieved by analysing the results from a survey conducted among third- and fourth-year students in construction and civil engineering in Hong Kong, Sweden, and Thailand (n = 194). When the different groups are compared Swedish and Thai students perceive a significant higher PPBU than Hong Kong students. In a step-wise multiple regression analysis five predictors for PPBU were identified for Thai respectively Swedish students, and one predictor was identified for Hong Kong students. It is concluded that in the contemporary BIM-discourse it is claimed that BIM can/should transform the industry, and BIM is even seen as a disruptive technology, and newly graduated students will contribute to (digitally driven) innovation. However, from the predictors of PPBU, the question can raised if the awareness of the need for structural changes is lacking in the education, if students later in their working life should contribute to a BIM-induced transformation of the industry?

• Journal of the Korean Society of Industry Convergence
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• v.27 no.1
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• pp.143-149
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• 2024

The production and procurement of shipbuilding and offshore equipment is an important competitive factor in the shipbuilding and offshore industry. Recently, ICT-based digital technology has been rapidly applied to the manufacturing industry following the Fourth Industrial Revolution. Under the digital transformation, real-time data interface technology based on SCM (Supply Chain Management) is emerging as an important tool to improve the efficiency of the equipment manufacturing process. In this study, the characteristics and advantages and disadvantages of interface technologies of web-based data interface technologies were compared and analyzed. The performance was compared between theoretical evaluation based on technical features and practical application cases. As a result, it was confirmed that GraphQL is useful for selective data processing, but there is a problem with optimization, and REST API has a problem with receiving data due to a fixed data structure. Therefore, this study aims to suggest ways to utilize and optimize these data interface technologies.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.109-126
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• 2018

With massive and dense production, the livestock industry is rapidly moving into a large-scale, capital-intensive industry especially in swine, poultry, and ducks. However, livestock epidemics can pose a serious threat to the livestock industry and the lives of the people. The government has established and operates the National Animal Protection and Prevention System (KAHIS) since 2013 in order to control the threat, in accordance with the five stages. The digitalized data and information are excellent in ease of management, but it is also pointed out that it is difficult to take countermeasures through linkage with the data in an emergency situation. Recently, the technology of the fourth industrial revolution such as Internet of Things (IoT), Big Data, Artificial intelligence (AI) has been rapidly implemented to the livestock industry, which makes smart livestock disease control system possible. Therefore, this study investigated the domestic and overseas cases which apply 4th Industrial Revolution technology in the industry, and derived 13 possible candidate tasks in the near future. In order to ascertain the priority of policy formulation, we surveyed the expert groups and examined the priority of each of the five stages of the prevention and the priority of each stage. The results of this study are expected to contribute to the establishment of policies for the advancement of smart livestock disease control research and livestock protection.

• Knowledge Management Research
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• v.18 no.3
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• pp.1-35
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• 2017

This study conducted comparative study on autonomous car's industry policy and corporate strategy of US, China, Germany, Japan and Korea. By analyzing core technologies and industry paradigm shifts of autonomous car industry, I was able to figure out autonomous car has high potential to be dominant transportation in the future and it is important to construct core competency in technology area. The meaningful findings by analyzing various primary and secondary data are as followings: First, in case of US, Google was leading autonomous car industry by developing its own OS and Platform. US government has been actively supporting and interacting with private firms and Universities for stimulating industry/technology convergence and establishing standard. Second, in case of Germany, autonomous car development was leading by several auto makers such as Mercedes, BMW in Hardware and manufacturing area, and German government was focusing on deregulations for private company. Third, in case of Japan which quite similar with German situation, they were both independently developing technology and expanding alliances with MNCs. And Japanese government was supporting triple helix system construction between local companies and universities. Fourth, in case of China, autonomous car industry was leading by IT companies, and various cooperations between IT companies and automakers were established. Chinese government was regulating foreign companies and supporting domestic companies both in market and technologies Last, in Korean case, the active and extensive alliances were lacking in Korean companies while strategic and strong government supports were missing in public sector. For competing with other countries and players, more active collaboration between different countries and strong policy supports are needed in Korean auto industry.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.15-27
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• 2016

The current research suggests a new industry and employment structure accelerated by the 4th industrial revolution. An in-depth analysis on relevant researches and a macro analysis on industry and employment structure change have been performed. Past and present industrial revolutions have been reviewed based on the nature of employment and industry structure. With technological advances and increase in productivity, the services industry has developed during the 1st and 2nd industrial revolutions. Moreover, in the 4th industrial revolution era, more changes are expected within the services industry. A new U-model has been derived and a service economy acceleration model has been suggested. This research can be used for deriving desirable industry and economic policy. Future research is needed to develop a detailed solution for human resource management strategy for service economy in the 4th industrial revolution era.

• Journal of Platform Technology
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• v.12 no.2
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• pp.3-11
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• 2024

In the trend of digital transformation and the increase in non-face-to-face services triggered by the Fourth Industrial Revolution, the demand for cloud computing services is being sharply stimulated. Currently, the cloud is being introduced in various industrial sectors including public, IT, and finance, and the manufacturing industry is also adopting the cloud to secure future sustainability and is promoting innovation through smart manufacturing. However, it has been found that there are constraints in the adoption of cloud by manufacturing companies due to concerns about security. Existing studies that have identified cloud security risks have been limited to presenting general cloud security risks or technical security risks rather than focusing on the manufacturing industry. Therefore, this study aimed to identify cloud security risks in the manufacturing industry based on the actual concerns in the field. For this, expert interviews and literature research were conducted to newly identify cloud security risks in the manufacturing industry, and the adequacy and urgency of the selected security risks were verified through surveys. Based on this study, if a cloud security management system for the manufacturing industry is designed in the future, it is expected that the adoption of cloud in the manufacturing industry will be more activated.

• Journal of Distribution Science
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• v.12 no.7
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• pp.23-35
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• 2014

Purpose - This study aims to explore the effects of social responsibility activities and business ethics practices on corporate trust and loyalty in the context of a large retail distribution business. Research design, data, and methodology - The data collected was analyzed using PASW Statistics 18.0. In order to verify the demographic characteristics, frequency analysis was conducted on the data. Results - The results of the study were as follows. First, social responsibility activities had a significant effect on corporate trust. Second, both corporate social responsibility activities and business ethics practices had significant effects on loyalty. Third, corporate trust had a significant effect on loyalty. Fourth, corporate social responsibility activities and consumer protection activities had a partial mediation effect, while environmental protection activities and social contribution activities had complete mediation effects. Conclusions - This study clarified and explained the factors of corporate social responsibility activities and business ethics practices that customers value, and analyzed the influence of these factors on corporate trust and loyalty.

• Culinary science and hospitality research
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• v.8 no.3
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• pp.1-20
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• 2002

The rapidly changing environments of today's hospitality industry lays more and more emphasis on the management of food & beverage sector. Hotel restaurants changes their menus 2 times a year. But they tend to modify or complement old items, or imitate other restaurants'menus, rather than try new ones. In addition, the change cycles are determined without any systematic and scientific criteria. Based on the survey, a plan for managing menu change cycles is proposed. The proposed plan is summarized as follows: First, the survey result demonstrates that the appropriate frequency of menu changes is: twice a year for the fixed menu; four times for the seasonal menu; four times for the promotion menu; twice for the business menu; and, three times for the event menu. Second, under the management maintained by consistent monitoring of menu change. Third, menu change should be managed through the menu analyses on its profitability, popularity, and the potential for further growth. Fourth, menu change should be managed through the periodic investigations of the tastes and preferences of the customers. fifth, a unique system for the menu change should be constructed by analyzing of other competitive restaurants or restaurant chain stores.

• Korean Management Science Review
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• v.28 no.1
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• pp.25-42
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• 2011

The mobile industry is the key foundation of digital convergence, and its constant growth is expected. Among mobile industries, new products leading the development of devices are the Emerging Device. This study is conducted to find out factors making differentiated by comparing the structural equation model(SEM) of the Tablet PC and the e-Book Reader. The main findings are as follows. First, the application of TAM to the Emerging Device shows that fitness of the model is generally high but the effect of Perceived Ease of Use has not been verified or found insignificant. Second, the acceptance model of the Tablet PC and the e-Book Reader has found that playfulness stimulates acceptance intentions. Third, the cost level of the Emerging Device acceptance model is not a factor stimulating consumers' acceptance intentions. Fourth, product attributes of the Tablet PC and the e-Book Reader to differentiate themselves from the other device are Functionality and Playfulness respectively.

• Journal of the Korean Society of Industry Convergence
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• v.2 no.1
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• pp.77-83
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• 1999

Grown in the secondary broth of production media, the strain Streptomyces albulus has increased more the production of its metabolite ${\varepsilon}$-poly-L-lysine, one of poly(amino acid)s used as disinfecting food additives, than the strain in the primary culture of growth nutrients. Having the strain removed, the large concentrate obtained by ultrafiltrating the secondary culture broth. The concentrated production broth exchanged into followed by detecting in UV flowcell at 220nm the peptide bond of the components eluting the adsorbed proteins and polylysine with NaCl salt of gradient concentration, and has separated into five components. Among them the component in the fourth peak fraction has proved to be the pure ${\varepsilon}$-poly-L-lysine after the portion being hydrolyzed the fraction with HCl into amino acid followed by being the composing amino acid analysis.