• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1411-1444
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• 2018

The shared economy has been growing rapidly in recent years, creating an innovative economic paradigm based on the growing interest in sustainable development in the environmental aspect, the development of ICT technology, and the spread of mobile, Internet and smart environments. The purpose of this study is to investigate the factors influencing of the shared economy on the intention of domestic consumers using shared economy services. Also we would like to find out if personal orientation on sustainable development actually have a valid impact on perceived values and intentions of using Shared Economy services. The result of the study shows that the factors affecting the intention to use Shared Economy service were perceived usefulness, subjective norm, perceived risk, and sustainable orientation which are characteristics of Shared Economy service. In addition the result of the indirect effect study Find that the individual felt the emotional value through the perceived usefulness and have the greatest influence on intention to use. Therefore, it implies that the marketing strategy of the Shared Economy service should take into consideration the elements that can feel emotional value through usability. In the future, We research on domestic success and failure cases of Shared Economy services and robust verification of influential factors could be continue.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.3
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• pp.313-329
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• 2021

This study analyzed the characteristics of the management crisis, the level of resilience, and the alternatives based on the companies' self-evaluation of the game industry in Daegu. The Daegu game industry, which started spontaneously in the late 1990s, grew rapidly until the late 2000s with the support of the government and supporting organizations. However, from the mid-2010s, it has entered a period of recession due to the number of companies that failed to respond to the saturation of the mobile game market and fierce competition at home and abroad. In response, some game companies turned the crisis into an opportunity to strengthen their competitiveness by pursuing challenging strategies for product differentiation and pioneering new markets. On the other hand, companies that were passive in responding to the crisis have not get out of the management crisis. In addition, in terms of the resilience level of game companies in Daegu, the level of immediate response to shock(rapidity) and replacement of the damaged part(redundancy) was low, but the level of mobilizing sufficient resources internally(resourcefulness) was high. However, as the Daegu game industry is facing more complex multi-spatial-scale environmental changes than in the past, its resilience should be strengthened through strategies that can compensate for weaknesses in terms of the game industry ecosystem beyond individual company-level efforts.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.3
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• pp.175-186
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• 2019

Efforts have been made to introduce the climate smart agriculture (CSA) for adaptation to future climate conditions, which would require collection and management of site specific meteorological data. The objectives of this study were to identify requirements for construction of agricultural meteorology information service system (AMISS) using technologies that lead to the fourth industrial revolution, e.g., internet of things (IoT), artificial intelligence, and cloud computing. The IoT sensors that require low cost and low operating current would be useful to organize wireless sensor network (WSN) for collection and analysis of weather measurement data, which would help assessment of productivity for an agricultural ecosystem. It would be recommended to extend the spatial extent of the WSN to a rural community, which would benefit a greater number of farms. It is preferred to create the big data for agricultural meteorology in order to produce and evaluate the site specific data in rural areas. The digital climate map can be improved using artificial intelligence such as deep neural networks. Furthermore, cloud computing and fog computing would help reduce costs and enhance the user experience of the AMISS. In addition, it would be advantageous to combine environmental data and farm management data, e.g., price data for the produce of interest. It would also be needed to develop a mobile application whose user interface could meet the needs of stakeholders. These fourth industrial revolution technologies would facilitate the development of the AMISS and wide application of the CSA.