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정보기술 혁신이 기업 가치에 미치는 영향: 정보기술 특허를 중심으로
정성훈 ( Sunghun Chung ),김기민 ( Kimin Kim ) 한국지식경영학회 2016 지식경영연구 Vol.17 No.3
The recent patent wars in the information technology (IT) industry demonstrate the strategic importance of IT patents in the industry. In this paper, we adopt the lens of real options to study the value of IT patents for IT firms. Specifically, we examine the relationship between IT patents and firms’ market performance. We also consider the moderating effect of the innovation orientation of firms’ patent portfolios (exploitative vs. explorative). Based on a large panel dataset consisting of 697 firms in US IT industries, our results suggest that the impact of IT patents on firm value (as measured by Tobin’s q) is positive and significant. Further, we find that this impact varies, depending on the innovation orientation of firms’ patent portfolios. IT patent portfolios with higher levels of an exploitative orientation are associated with higher firm value, compared to those with a lower exploitative orientation. This study highlights the value of employing real options theory as the underlying mechanism in understanding the impact of patents on firm valuation. Future researchers can adopt the real options lens to identify and empirically examine the role of other factors that may affect the value of patents and other investments exhibiting real option characteristics. While our paper answers some questions about the value of patents in the IT industry, it also raises a number of additional new questions. As such, we hope that it will generate more research on this important topic.
Determination of pectolinarin in Cirsium spp. using HPLC/UV analysis
( Sunghun Cho ),( Jaemin Lee ),( Yoon Kyoung Lee ),( Mi Ja Chung ),( Ki Han Kwon ),( Sanghyun Lee ) 한국응용생명화학회 2016 Journal of Applied Biological Chemistry (J. Appl. Vol.59 No.2
Pectolinarin was isolated from the ethyl acetate fraction of Cirsium setidens using open column chromatography and was analyzed using spectrometry. Pectolinarin content in Cirsium spp. was determined using HPLC/UV. Pectolinarin content in the aerial part of Cirsium spp. was higher than that in the root and pappus. Pectolinarin content was highest in the aerial part of C. chlorolepis (110.65mg/g extract). Consequently, the aerial part of C. chlorolepis has potential for use in new natural medicinal products, health supplements, and beverages.
Donggyu Min,Sunghun Chung,Chulho Lee,Wenjing Duan 한국경영정보학회 2023 한국경영정보학회 학술대회논문집 Vol.2023 No.11
Despite the widespread use of artificial intelligence (AI) in mobile healthcare apps, the need for more transparency in AI algorithms hinders their effectiveness by preventing users from understanding the reasons behind AI-based information provision. To address this challenge, various types of explainable AI (XAI) are adopted to offer transparent explanations of AI. Despite significant debates surrounding AI intervention, limited research has been devoted to whether and how various XAI types affect user behavior differently. In this study, we conducted a randomized field experiment to investigate the effectiveness of three XAI algorithms: 1) feature importance, 2) feature attribution, and 3) counterfactual explanation in promoting users' health behavior. Drawing on the self-regulated learning theory, we expect that XAI focusing on counterfactual explanation increases strategic planning and outcome expectancy, resulting in better self-regulation behavior. Our findings indicate that counterfactual explanation significantly improves users' action planning behavior, leading to a 16.5% increase in workout duration and a 3.49% increase in health records compared to the control group. Our results are salient for users with a high level of AI susceptibility due to age, goal weight loss, and AI outcome. Our finding sheds light on the potential of algorithmic explanations to improve the effectiveness of AI interventions in the healthcare industry, with practical implications for designing more transparent and user-friendly healthcare apps.
A preliminary study on whether M&A information is useful to predict promising industries
Jinho Choi,Sunghun Chung,Yong Sik Chang 한국정보기술학회 2019 Proceedings of The International Workshop on Futur Vol.2018 No.1
Companies are struggling in diversifying and growing their current businesses due to lack of information on diversification and low level of capabilities for the future commercialization. In this study, we suggest a comprehensive framework that explores the new business opportunities for the growth of firms in the future. We first theoretically examine whether all M&A transactions are related to promising areas or not. Secondly, we analyze the trends of global M&As in terms of its frequency and transactional value for the last 15 years. Lastly, we conduct the association analysis to identify the degree of M&A connections between industry areas.