• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.334-346
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• 2019

This study aims to investigate the appearance of Gyeongridangil and its related commercial streets, which seemingly serve as a place brand. Internet trend data, locational conditions, and commercial compositions were analyzed to determine the characteristics of their formation. Result showed that, as the commercial streets developed because of social network services, the street names tended to be considered as place images. In terms of locational conditions, they chose rather remote places, risking the disadvantages for their own spatial style. Interpreted within the framework of place branding, these streets seemed to identify themselves with a unique streetscape using spatial restraints as an advantage. They positioned in a niche area to avoid conflict with other commercial types and attract consumers with the image of "suppliers of trendy lifestyle", thus successfully becoming a place brand.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.1-11
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• 2019

Based on the knowledge spillover theory of entrepreneurship(KSTE) and resource based view(RBV), this study examines that how patent based entrepreneurship impacts on improving key performances such as financing, firm innovation, sales, product selling growth, employment. This study which is conducted with data from 353 startup firms indicates that patent based entrepreneurship has positive effects on performance of financing, innovation, product selling growth, and employment. On the other hand, there is no effect of patent-based entrepreneurship on sales performance. This statistical results were the same The results were the same when the independent variables were measured as intensity of patent based entrepreneurship which indicates the rate of patent based product or service among total number of product or service of the startup company.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.255-264
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• 2019

This study focuses on the recent turnover of film crews in Korean film industry. Determinants that could have a significant impact on the turnover of film crews are identified through empirical research, in order to seek measures to prevent the loss of experienced film crews. In order for respondents to verify research questions regarding turnover of the film crews, ordered logistic and marginal effects analysis using SPSS and STATA are conducted with the data obtained by surveying 402 film crews in various areas. Data analysis revealed that the variables that have a significant effect on the turnover of film crews are artists' identity, job rank, career barrier and job satisfaction. The characteristics of risk groups with high turnover can be concluded that they are low in job rank and have many career problems, poor job satisfaction and strong identity as a labourer rather than artist's identity. Based on the main findings, practical implications are discussed.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.13-22
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• 2019

In the midst of the rapid changes in the digital media environment, this study try to examine the challenges of the public service broadcasting(PSB) news as a representative public sphere in a democratic society, and sought realistic alternatives through a case study of the BBC, one of the most successful digital policies of PSB in the world. The study found that the BBC's 'Digital First' strategy pursued a fundamental change in news formats, thereby simultaneously innovating on content. It was also interesting to see that the news consumers' needs for social media and video content were selectively analyzed and approached with a strategy of choice and focus. Finally, the production of customized digital content by analyzing news viewing behavior by each age group also suggests a lot to Korean PSB. I hope that the cases of this study will be reflected in the digital policies of Korean PSB.

• Journal of the Korea Society for Simulation
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• v.28 no.1
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• pp.41-47
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• 2019

Defense simulation is actively used to test various weapon systems and evaluate their effectiveness. The AddSIM environment is a simulation framework designed to support the weapon systems dealt with in defense simulation from an integrated point of view and is designed for reuse and scalability. Models used in AddSIM require base model structure fidelity and verification of user code area. Therefore, this paper describes the dynamic verification method used for completeness of models used in AddSIM. For the dynamic verification of user code, the specification method and the verification algorithm are described. Also, we introduce the prototype of the dynamic verifier implemented based on verification specification method and algorithm. The case study analyzes the verification results based on the simulation example implemented in AddSIM environment.

• Knowledge Management Research
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• v.24 no.3
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• pp.1-15
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• 2023

This paper examines research ethics in using the generative AI ChatGPT for research purposes. After reviewing traditional themes of research ethics and relevant principles, it will be argued to be inappropriate to discuss ChatGPT-related issues only from the perspective of permission, detection, and punishment. We need to consider the fundamental problem that the current rules pose concerning the way ChatGPT works. This leads to the proposal that the usage of ChatGPT should be clearly noted when it is used for research purposes and that some unresolved issues should be recognized. Although the advantages of ChatGPT cannot be denied, consensus on the appropriate scope of use is needed from perspectives of the research community and researcher's social responsibility. As generative artificial intelligence technologies are still in the early stages of development, researchers should pay attention to relevant research ethical issues, while not making hasty conclusions. In the conclusion, it will be also proposed to discuss and make a consensus regarding the definition of research that is premised on existing research ethics, but challenged with the advent of ChatGPT and AI technology.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.109-124
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• 2023

This study aims to apply the concept of regulatory stringency to the regulatory sandbox with a fresh perspective. The regulatory sandbox is a system that gives opportunities under certain conditions to new technologies or businesses that have not been launched due to inadequacy or insufficiency in legal systems. Previous research on regulatory sandboxes has mainly focused on discussions about their impact on specific technologies or business domains. This study attention to the results according to the evaluations. Among them, whether special cases for demonstration can evolve into official permission has garnered significant attention. For this study, among the cases that passed the regulatory sandbox evaluation from February, 2019, to December, 2022, 162 cases in the field of ICT convergence were selected. The evaluation results were classified into three groups 'positive interpretation (Fast Track)', 'temporary permission', and 'special case for demonstration.' Each case was assigned to one of the three groups. Through the comparative analysis, the common characteristics and differences were summarized. Then, this study explored improvement measures to pass a less restrictive regulatory sandbox. The analysis of the cases revealed that the differences in each evaluation result were attributed to variations in the technological characteristics and user protection features. Considering these differences, as well as the higher weight and importance of the preparation stage for sandbox application, this study suggested a three-step approach to prepare for temporary permission and positive interpretation rather than special case for demonstration. In addition, this thesis discussed the policy limitations of the regulatory sandbox mechanism in South Korea and the limitations of the current study. Hopefully, the results of this study would be beneficial to individuals and companies, particularly venture companies and startups seeking to develop new technologies or businesses and utilize regulatory sandboxes.

• Journal of Information Technology Services
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• v.23 no.1
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• pp.1-10
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• 2024

The IT environment is changing due to the acceleration of digital transformation in enterprises and organizations. This expansion of the digital space makes centralized cybersecurity controls more difficult. For this reason, cyberattacks are increasing in frequency and severity and are becoming more sophisticated, such as ransomware and digital supply chain attacks. Even in large organizations with numerous security personnel and systems, security incidents continue to occur due to unmanaged and unknown threats and vulnerabilities to IT assets. It's time to move beyond the current focus on detecting and responding to security threats to managing the full range of cyber risks. This requires the implementation of asset Inventory for comprehensive management by collecting and integrating all IT assets of the enterprise and organization in a wide range. IT Asset Management(ITAM) systems exist to identify and manage various assets from a financial and administrative perspective. However, the asset information managed in this way is not complete, and there are problems with duplication of data. Also, it is insufficient to update of data-set, including Network Infrastructure, Active Directory, Virtualization Management, and Cloud Platforms. In this study, we, the researcher group propose a new framework for automated 'Comprehensive IT Asset Management(CITAM)' required for security operations by designing a process to automatically collect asset data-set. Such as the Hostname, IP, MAC address, Serial, OS, installed software information, last seen time, those are already distributed and stored in operating IT security systems. CITAM framwork could classify them into unique device units through analysis processes in term of aggregation, normalization, deduplication, validation, and integration.

• Information Systems Review
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• v.25 no.2
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• pp.163-180
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• 2023

Based on the Technology-Organization-Environment (TOE) model, this study proposed a research model that explains the continuance intention of users in the with Covid-19 era considering the technical, organizational, and environmental aspects of Remote Work Solution (RWS). To verify the research model and hypothesis, an online survey was conducted on domestic RWS users. Partial least squares (PLS) were utilized to analyze the collected 411 data. As a result of the analysis, it was found that functionality and security level had positive impacts on both productivity improvement and satisfaction. However, it was also confirmed that organizational readiness had a positive effect on productivity improvement but did not affect satisfaction. Furthermore, the results revealed that government support had a positive relationship with continuance intention, but the health concerns did not. Finally, the correlations between productivity improvement, satisfaction, and continuous intention were confirmed to be significant. Therefore, 9 out of a total of 11 hypotheses were supported.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.4
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• pp.65-71
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• 2013

Wind shear means the variation of wind speed according to the height. Wind shear is the important factor affecting the energy production of wind turbines. Power Law is used to extrapolate wind speed data. Normally, a Power Law exponent of 0.143 is used and this is referred to as the 1/7th Power Law. The Power Law exponent is affected by atmospheric stability and surface roughness of the site. Thus, it is necessary to calculate the Power Law exponent of the site exactly for an accurate estimation of wind energy. In this study, wind resources were measured at the three Met-masts which were located in the coastal area of northeastern Jeju Island. The Power Law exponents of the sites were calculated and proposed using measured data. They were 0.141 at Handong, 0.138 at Pyeongdae, and 0.1254 at Udo. We compared annual energy productions which are calculated using a Power Law exponent of 0.143, the proposed value of the Power Law exponents for each site, and the measured data. As a result, the cases of calculating using the proposed values were more similar to the cases using the measured data than the cases using the 0.143 value. Finally, we found that the propsed values of the Power Law exponent are available to more accurately estimate wind resources.