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A Strategic Analysis of Digital Transformation for Data Integration based on Platform Business Model: Focusing on Financial Industry (디지털 트랜스포메이션의 플랫폼 비즈니스 모델 기반 데이터 통합 관점 분석: 금융산업 사례를 중심으로)

  • Kim, Iljoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.119-131
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    • 2021
  • With the boom of platform businesses, digital transformation has become the most important topic for businesses. Digital transformation has now become the most urgent strategy for survival, from a strategy considered as an option to choose in the past. Many companies are desperately seeking the ways to be digitally transformed. Even though there have been many studies on digital transformation, most of them are on strategic and conceptual model levels based on simple case analyses. In this study, we analyze the benefits of data integration and network effects from it, based on platform business model at the core of digital transformation. The change based on platform can be categorized into the internal one for the integration of data and better decision making, and the external one for the expansion of the businesses and better prediction of consumer behaviors through the integration of external data sets by the platform business model based enterprises. While the progress for digital transformation is not mature enough yet, financial industry is one of the most promising industries for the change and realization of the aim of it with its relatively much more advanced IT infrastructure. Many companies are making various efforts for the integration of external data, and if the good results can be accomplished, financial industry will contribute to the advancement of digital transformation in other industries as well. For "My Data" project by Korean government, we suggest the data structure and transaction of data (of Korea) should be advanced and established more quickly.

The Impacts of Managers' Earning Forecast Information on Manager Compensation. -Focused on Accounting Conservatism- (경영자의 이익예측정보가 경영자 보상에 미치는 영향 -회계보수주의를 중심으로-)

  • Jeon, MiJin;Sim, Weon-Mi
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.393-400
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    • 2022
  • In a situation where the company handles accounting conservatively, the management's earnings forecasting information will be more conservative, and the conservativeness of this earnings forecasting information will have a differential effect in evaluating the performance of managers and paying compensation. This study aims to examine how the level of corporate accounting conservatism affects the forecast information of managers and how this affects the compensation of managers. This study establishes a hypothesis on the effect of the level of accounting conservatism on the earnings forecasting information and compensation of managers, and examines the relationship between managerial profit forecasting information & manager compensation according of conservatism in corporate accounting that can vary depending on the manager's disposition. As a result of the analysis, conservative managers are also conservative in earnings forecasting disclosure, and when corporate managers are highly conservative, they show their ability by making earnings forecasts disclosures more frequently and more accurately than corporate managers with low conservatism. It will help reduce the forecasting errors of stakeholders. Therefore, it is expected that this will play an important role in judging the manager's ability and determining compensation. Therefore, when a company handles accounting conservatively, management's earnings forecasts are also measured conservatively, which is expected to provide useful information on the basis and form of management's compensation to stakeholders.

Why Do Users Participate in Hashtag Challenges in a Short-form Video Platform?: The Role of Para-Social Interaction (숏폼 비디오 플랫폼에서 사용자는 왜 해시태그 챌린지에 참여하는가?: 준사회적 상호작용을 중심으로)

  • Li, Yi-Qing;Kim, Hyung-Jin;Lee, Ho-Geun
    • Informatization Policy
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    • v.29 no.3
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    • pp.82-104
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    • 2022
  • One of the interesting social phenomena in short-form video platforms is the hashtag challenge wherein ordinary users are encouraged to create by imitating short viral videos on a particular theme. Despite the increasing popularity of hashtag challenges, theoretical discussion on related user behavior is still very insufficient. In this study, we attempted to examine the impact of micro-influencers in order to understand users' willingness to participate in hashtag challenges. For this purpose, the para-social interaction theory and imitation behavior literature were adopted as key theoretical basis. In an empirical investigation using 243 survey data from TikTok users, our study found that a user's illusion of intimacy with a micro-influencer (i.e., para-social interaction) had significant positive impact on the intention to participate in a hashtag challenge. This study also showed that the degree of para-social interaction in a short-form video platform was determined by both media content-related factors and media character-related factors (i.e., content attractiveness, physical attractiveness, and attitude homophily). Our work in this study provided significant theoretical and practical implications on how to leverage micro-influencers for the success of hashtag challenges in a short-form video platform.

Reinforcement Learning Model for Mass Casualty Triage Taking into Account the Medical Capability (의료능력을 고려한 대량전상자 환자분류 강화학습 모델)

  • Byeongho Park;Namsuk Cho
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.44-59
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    • 2023
  • Purpose: In the event of mass casualties, triage must be done promptly and accurately so that as many patients as possible can be recovered and returned to the battlefield. However, medical personnel have received many tasks with less manpower, and the battlefield for classifying patients is too complex and uncertain. Therefore, we studied an artificial intelligence model that can assist and replace medical personnel on the battlefield. Method: The triage model is presented using reinforcement learning, a field of artificial intelligence. The learning of the model is conducted to find a policy that allows as many patients as possible to be treated, taking into account the condition of randomly set patients and the medical capability of the military hospital. Result: Whether the reinforcement learning model progressed well was confirmed through statistical graphs such as cumulative reward values. In addition, it was confirmed through the number of survivors whether the triage of the learned model was accurate. As a result of comparing the performance with the rule-based model, the reinforcement learning model was able to rescue 10% more patients than the rule-based model. Conclusion: Through this study, it was found that the triage model using reinforcement learning can be used as an alternative to assisting and replacing triage decision-making of medical personnel in the case of mass casualties.

Predicting the Number of Confirmed COVID-19 Cases Using Deep Learning Models with Search Term Frequency Data (검색어 빈도 데이터를 반영한 코로나 19 확진자수 예측 딥러닝 모델)

  • Sungwook Jung
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.9
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    • pp.387-398
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    • 2023
  • The COVID-19 outbreak has significantly impacted human lifestyles and patterns. It was recommended to avoid face-to-face contact and over-crowded indoor places as much as possible as COVID-19 spreads through air, as well as through droplets or aerosols. Therefore, if a person who has contacted a COVID-19 patient or was at the place where the COVID-19 patient occurred is concerned that he/she may have been infected with COVID-19, it can be fully expected that he/she will search for COVID-19 symptoms on Google. In this study, an exploratory data analysis using deep learning models(DNN & LSTM) was conducted to see if we could predict the number of confirmed COVID-19 cases by summoning Google Trends, which played a major role in surveillance and management of influenza, again and combining it with data on the number of confirmed COVID-19 cases. In particular, search term frequency data used in this study are available publicly and do not invade privacy. When the deep neural network model was applied, Seoul (9.6 million) with the largest population in South Korea and Busan (3.4 million) with the second largest population recorded lower error rates when forecasting including search term frequency data. These analysis results demonstrate that search term frequency data plays an important role in cities with a population above a certain size. We also hope that these predictions can be used as evidentiary materials to decide policies, such as the deregulation or implementation of stronger preventive measures.

A Basic Study on 'Ruralism' Perception through Expert Group: Focusing on Delphi and AHP Analysis (전문가집단을 통해 본 '농촌다움' 인식에 관한 기초연구: 델파이와 AHP분석을 중심으로)

  • Jee Yoon Do;Ki Chun Seo;Myeong Cheol Jeong;Jin Ah Choi
    • Journal of Environmental Impact Assessment
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    • v.32 no.4
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    • pp.251-259
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    • 2023
  • This study was conducted for the purpose of the basic direction for the new regulations and categories of Ruralism changing in the new era. To this end, the results of Delphi analysis and AHP analysis by dividing it into the definition, criteria, scope and component items of Ruralism based on systematic literature review are as follows. First, through studies representing most rural areas, it was found that Ruralism was the most problematic keyword and most of the studies did not cover it as they were studying various ranges of rural areas. Second, the Delphi survey was able to derive keywords that can be used as evidence for item classification and clear concept establishment for the regulation and category setting of Ruralism. Third, through the hierarchical decision-making method, it was found that landscape factors are the most important thing in forming Ruralism as well as deriving priorities that can be a baseline for each item. This study is meaningful in providing a minimum baseline as basic data for establishing the concept of Ruralism, and it is believed that future-oriented Ruralism can be established if reviews are added from various perspectives to overcome limitations dependent on expert groups.

A qualitative case study on the experiences of open adoption by adoptive families (입양가족의 개방입양 경험에 대한 질적 사례연구)

  • Kwon, Ji-Sung;Byun, Mi-Hee;Ahn, Jae-Jin;Choi, Woon-Sun
    • Korean Journal of Social Welfare Studies
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    • v.41 no.2
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    • pp.5-33
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    • 2010
  • The purpose of this study is to understand the open adoption experience of adoptive families. For this purpose, the data were collected through diverse data collection methods including in-depth interviews with adoptive families who had experiences of open adoption and analyzed using a qualitative case study approach. Data collected from six adoptive families were employed for within-case analysis and cross-case analysis. Each case was carefully examined and summarized using story-telling style in the within-case analysis and major issues for open adoption appeared in each case were described and compared one by one. In the cross-case analysis, all the cases were re-examined keeping the issues appeared in the within-case analysis in mind and eight integrated themes were emerged from it. The eight integrated themes are 'the crucial meeting', 'a clear arrangement', 'an uneasy parallel', 'the other mom', 'who are the real parents?', 'the words never to say', 'the hidden characters', and 'the center of relations or the outsider'. Based on the results of the study, the policies and practical guidelines related to open adoption were suggested. Also, the suggestions for the further studies were made to obtain more abundant information beyond the limitations of the study.

Estimation of citizen's willingness to pay for water quality improvement on urban rivers (도시하천 수질개선을 위한 시민의 지불의사액 추정 연구)

  • Kang, Jiyoon;Yang, Jinwoo;Hwang, Youngsoon;Kim, Keewook
    • Journal of Korea Water Resources Association
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    • v.56 no.3
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    • pp.225-233
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    • 2023
  • Urban rivers and their surrounding environments have been altered due to factors such as rapid economic growth and urban development. This alteration have caused the rivers to lose their original value and become exposed to various pollution, resulting decrease in citizens' quality of life. This study aims to estimate citizens' Willingness To Pay (WTP) for water quality improvement in Suyeong River in Busan. To estimate the non-market value of the Suyeong River, the WTP of Busan citizens for water quality improvement was estimated, applying Contingent Valuation Method (CVM). The WTP for improving the water quality from Grade 4(polluted water) to Grade 2(game fish like bass can live in it) was estimated using the water quality ladder concept of the US Environmental Protection Agency, assuming annual donations for five years. For the CVM, the logistic distribution and Spike Model were adopted. As a result, citizens residing in the surrounding area of Suyeong River expressed a higher WTP. Considering more than half of the Busan citizens are aware of the "conservation of nature and ecosystems" as a major function of the Suyeong River, this higher WTP could serve as a basis for improving the value of urban rivers.

A Study on the Influence of the Management and Living Environment Quality Factors of Public Rental Housing on the Satisfaction with Living, Brand Loyalty, and Intent of Recommendation (공공임대주택의 관리 및 주거환경 품질 요인이 주거만족도, 브랜드 충성도, 추천의도에 미치는 영향)

  • Roh, Ki-Nam;Yoon, Hyo-Jin
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.187-202
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    • 2022
  • The purpose of this study is to, focusing on public rental housing, examine the influence of the management and living environment factors of multi-unit residential buildings upon their satisfaction with living, brand loyalty, and intent of recommendation, and investigate the mediating effect of the satisfaction with living. For this study, the researcher surveyed the residents of public rental housing facilities in Seoul and Gyeonggi Province, which resulted in the analysis of 331 responses. The data was analyzed using SPSS 23.0 and AMOS 23.0 programs. The findings of this study are as follows; The management and living environment quality factors of public rental housing facilities had a direct impact on the satisfaction with living, brand loyalty, and intent of recommendation. And, the sub-factors of the management and living environment quality that influenced each variable were different among themselves. Also, the satisfaction level with living in public rental housing facilities had a significant impact on the intent of recommendation, while it had a mediating effect in the relationship between the management and living environment quality factors of public rental housing facilities and the intent of recommendation.

A Study on the Effects of Selfie in the Museum Exhibition on Customer Experience Satisfaction (미술관 전시에서의 사진 촬영이 체험 만족도에 미치는 영향)

  • Ko, Jeongmin;Shin, Hanna;Choi, Jiwon
    • Korean Association of Arts Management
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    • no.49
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    • pp.37-63
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    • 2019
  • This study aims to find out how the photographing affects the satisfaction of visitor experience in the art gallery. We surveyed the visitors who visited the exhibition hall. In order to see if the selfie photographs positively affect the visitor satisfaction level, one-way ANOVA was conducted and the mediating effect of the flow and the moderating effect of narcissistic tendency and involvement was examined. As a result of study, First, in the relationship between photography and satisfaction, the group who took a photo but did not take a self-shot showed higher satisfaction than the group who did not take a photo and self-shot in the exhibition area. This result shows that photographing the art work in the exhibition hall gives experience-based satisfaction to the visitors, but self-shot does not show positive effect on the satisfaction. Second, the hypothesis that the flow degree will play a mediating role of the visitor's experience-based satisfaction in the relationship between art work photo-shot and self-shot type in exhibition hall was rejected. Third, the positive effect of involvement was shown only in the groups that did not take self-shot but took pictures in the exhibition hall. This shows that the satisfaction of the self-shot visitor is not affected by the degree of involvement of art. The results of this study are expected to help determine the policy for permission to take photographs in art galleries.