크라우드소싱 커뮤니티 내 고객 선호와 조직 수용 아이디어 간 비교 연구

이한준,서소영,서용무,Lee, Hanjun,Seo, Soyoung,Suh, Yongmoo 한국경영정보학회 2014 Asia Pacific Journal of Information Systems Vol.24 No.1

Open innovation concept is advocating the importance of the customer roles in firm's innovation. As a result, crowdsourcing community is drawing attention as a strategic asset for open innovation across diverse industries. Considering that the goal of crowdsourcing community is harnessing innovative ideas, understanding the characteristics of user-favorable and organization-adoptable ideas can enhance the effectiveness and efficiency of idea crowdsourcing. In our approach, we extracted idea content-based characteristics such as subjectivity, negativity, prosocialness, and depth of idea to examine what are the factors that affect user preference and organizational adoption. An analysis of 71,134 ideas from MyStarbucksIdea.com shows that there are significant differences between user-favorable and organization-adoptable ideas in terms of idea characteristics. Lastly, both theoretical and managerial implications are discussed.

PCB 패턴 모니터링을 통한 수분 유입 감지 및 스펙트럼 분석

이한준(Hanjun Lee),김영식(Youngsik Kim),윤상원(Sangwon Yun) 한국자동차공학회 2023 한국자동차공학회 부문종합 학술대회 Vol.2023 No.5

In this paper, we studied how to determine whether moisture inflow was detected using the PCB pattern and how to determine the type of material, and it is classified into a total of 4 steps. In the first step, the inflow of moisture was detected using the principle that resistance is generated between the pattern for outputting the reference voltage and the pattern for monitoring. Then, in the second step, the reference voltage was varied using the difference in ion mobility characteristics, and the voltage matched to the monitoring pattern was logged. In the third step, the intensity of the monitoring voltage according to the reference voltage was plotted as a spectrum in consideration of the temperature effect, and in the fourth step, it was confirmed that even the type of material could be identified based on the back data tested.

솔레노이드 밸브 내부 플런저 상태 진단 방법 연구

이한준(Hanjun Lee),김영식(Youngsik Kim),윤상원(Sangwon Yun),김관식(Kwansik Kim),이혜원(Hyewon Lee) 한국자동차공학회 2023 한국자동차공학회 부문종합 학술대회 Vol.2023 No.5

Even if flow control using solenoid valves is widely used in the field of vehicle, its state diagnosis method is limited. The solenoid coil is connected to the ECU to detect electrical abnormalities, but the plunger integrated the valve is electrically isolated, so it is impossible to diagnose the condition. In this paper, a method for diagnosing the valve state was studied by using the characteristic of generating an induced voltage across the coil according to the operation of the valve. More specifically, induced voltages according to normal and abnormal states were secured as back data and compared to confirm output characteristics according to problem conditions.

온라인 커뮤니티 기반 개방형 혁신의 도전적 문제들과 그 대응방안: 마이스타벅스아이디어닷컴 사례를 중심으로

이한준 ( Hanjun Lee ),서용무 ( Yongmoo Suh ) 한국인터넷정보학회 2017 인터넷정보학회논문지 Vol.18 No.2

최근 여러 기업들에 의해 시도되고 있는 개방형 혁신은 고객의 의견을 조직혁신에 활용하는 유용한 방법론으로 평가받고 있다. 그러나 이를 효과적으로 구현하여 실효를 거두기 위해서는 전략적인 접근이 필요하다. 본 연구에서는 온라인 커뮤니티를 활용한 개방형 혁신의 대표적인 성공사례로 알려진 스타벅스의 커뮤니티에 대한 사례연구를 통해 고객들의 집단 지성이 어떻게 해당 커뮤니티를 통해 개방형 혁신으로 구현되었는지 살펴보고 구축 성과와 함께 성공요인에 대해 논의하였다. 이를 토대로 개방형 혁신에 따르는 다양한 도전들을 분석하고 이에 대응하기 위하여 고객관리와의 연계, 오피니언 리더 활용, 공학적 기법 도입 등 효과적이고 효율적인 개방형 혁신 구현을 위한 방안을 제안하였다. Open innovation, a new paradigm which utilizes customer ideas for organizational innovation directly, is evaluated as a useful method to innovate the organization itself. In this research, we analyze the case of Starbucks` online community, MyStarbucksIdea.com to examine how collective intelligence is formed out of mass customers in the community and how open innovation is to be implemented successfully. We review various challenges in implementing open innovation and then suggest practical approaches to the challenges, including customer relationship management, utilization of opinion leaders, application of engineering techniques, etc.

군신체검사 대상자 중 기면증이 있는 남성의 성격 특성

이한준 ( Hanjun Lee ),남범우 ( Beomwoo Nam ),서정석 ( Jeong Seok Seo ),김태 ( Tae Kim ),노수림 ( Soo Rim Noh ),이제정 ( Je Jung Lee ),오근 ( Keun Oh ),서희영 ( Hee Young Seo ),김태 ( Tae Kim ),이종국 ( Jonggook Lee ) 한국정신병리진단분류학회 2021 精神病理學 Vol.25 No.2

Objectives The purpose of this study was to quantitatively assess multiphasic personality inventory results of narcolepsy affecting mental health using military personality inventory in Korea. Method We registered the 19-year-old men who visited the Military Manpower Administration from February 2010 to January 2013. Results Among demographic characteristics, both narcolepsy and control groups are 19-year-old male. Education level and socioeconomic status are higher(χ2=4.23, p=0.04 ; χ2=17.94, p=0.001) in control group. BMI is higher(t=-3.10, p=0.002) in narcolepsy group. Parents relationship showed no difference between control and narcolepsy groups(χ2=7.57, p=0.06). Among validity scales, score of faking good subscale was higher(t=4.368, p<0.001) in control group, of faking bad subscale was higher(t=-2.497, p=0.013) in narcolepsy group, of infrequency subscale showed no difference(t=-0.466, p=0.642) between control and narcolepsy groups. Among neurosis scales, the score of somatization, depression, anxiety, and personality disorder subscales were higher in narcolepsy group, respectively(t=-4.721, p<0.001 ; t=-5.189, p<0.001 ; t=-6.068, p<0.001 ; t=-2.161, p=0.032). Among psychopath scales, the score of paranoia subscale was higher in narcolepsy group(t=-2.795, p=0.006), of schizophrenia subscale showed no difference (t=-0.687, p=0.493). Conclusion According to MPI results, we suggest that narcolepsy patients are more concerned with their somatic symptoms, more depressive and anxious, have more introverted or impulsive tendency and paranoid traits.

MBTI 조직성격유형화에 따른 기업분류 : 기업리뷰 빅데이터를 활용하여

이한준(Hanjun Lee),신동원(Dongwon Shin),안병대(Byungdae An) 강원대학교 경영경제연구소 2021 Asia-Pacific Journal of Business Vol.12 No.3

Purpose - The purpose of this study is to classify KOSPI listed companies according to their organizational character type based on MBTI. Design/methodology/approach - This study collected 109,989 reviews from an online firm review website, Jobplanet. Using these reviews and the descriptions about organizational character, we conducted document similarity analysis. Doc2Vec technique was hired for the analysis. Findings First, there are more companies belonging to Extraversion(E), Intuition(N), Feeling(F), and Judging(J) than Introversion(I), Sensing(S), Thinking(T), and Perceiving(P) as organizational character types of MBTI. Second, more companies have EJ and EP as the behavior type and NT and NF as the decision-making type. Third, the top-3 organizational character type of which firms have among 16 types are ENTJ, ENFP, and ENFJ. Finally, companies belonging to the same industry group were found to have similar organizational character. Research implications or Originality - This study provides a noble way to measure organizational character type using firm review big data and document similarity analysis technique. The research results can be practically used for firms in their organizational diagnosis and organizational management, and are meaningful as a basic study for various future studies to empirically analyze the impact of organizational character.

머신러닝 기반의 기업가치 예측 모형: 온라인 기업리뷰를 활용하여

이한준 ( Hanjun Lee ),신동원 ( Dongwon Shin ),김희은 ( Hee-eun Kim ) 한국인터넷정보학회 2021 인터넷정보학회논문지 Vol.22 No.5

빅데이터 분석의 유용성이 주목을 받으면서 경영학 분야에서도 이를 활용하여 기업의 성과를 예측하고자 하는 다양한 연구들이 진행되고 있다. 이러한 선행연구들은 주로 뉴스 기사나 SNS 등 기업 외부의 자료에 의존하고 있다. 직원의 만족도나 기업에 대한 직원의 인식, 장단점 평가와 같은 기업 내부의 목소리는 기업가치에 대한 잠재적인 영향력에도 불구하고 상대적으로 확보가 어려워 관련 연구가 아직 충분치 못하다. 이에 본 연구에서는 국내 유가증권시장 상장 기업을 대상으로 임직원의 기업리뷰가 기업가치에 미치는 영향을 살펴보고, 이를 기반으로 기업가치를 예측하는 모형을 구축하고자 한다. 이를 위해 온라인 기업리뷰 사이트인 잡플래닛(Jobplanet)에 2014년부터 2019년까지 전·현직원이 남긴 97,216건의 기업리뷰를 수집하고 동 데이터에 근거하여 머신러닝 기반의 예측 모형을 제안하였다. 제안한 모형 중 LSTM 기반 모형의 정확도가 73.2%로 가장 높았고 MAE 또한 0.359로 가장 낮은 오차를 보였다. 본 연구는 국내에서 머신러닝을 활용한 기업가치 연구 분야에 유용한 사례가 될 것으로 기대한다. As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.

Worst Case 조건에서 모터 로터 위치 센서의 오차 보상에 대한 연구

이한준(Hanjun Lee),김영식(Yeongsik Kim),윤상원(Sangwon Yun),김관식(Kwanseek Kim),이혜원(Hyewon Lee) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11

3-phase motors are the most widely applied actuators in the automotive industry. This paper deals with the Hall sensor method among various methods for tracking the rotor when controlling a motor. In particular, we focused on major devices that require ASIL-D fail-safe, such as brakes and steering systems. To satisfy ASIL-D, a dual die type Hall sensor is applied, and different voltages are applied to satisfy redundancy. Usually, when the positions of the rotor and Hall sensor are not aligned, an electrical angle error occurs between each die. In this paper, we studied a method to adjust the temperature and voltage to the worst case, check the influence through fault injection, and correct it.

다차원척도법에 의한 기업이미지 제고를 위한 소셜미디어 활용방안

김수현,이한준,서용무,한진영,Kim, Suhyun,Lee, Hanjun,Suh, Yongmoo,Han, Jinyoung 한국데이터정보과학회 2013 한국데이터정보과학회지 Vol.24 No.3

소셜미디어 사용자가 크게 증가함에 따라 소셜미디어가 마케팅 도구로서 갖는 가치 또한 부각되고 있으며 많은 기업들이 소셜미디어를 기반으로 하는 마케팅에 관심을 기울이고 있다. 소셜미디어의 종류는 다양하고 소셜미디어별 특성이 서로 다르기 때문에 기업이 추구하는 목적에 적합한 소셜미디어를 선택할 필요가 있다. 본 연구에서는 기업의 마케팅 전략에서 많이 사용되고 있는 다차원 척도법을 이용하여 대표적인 소셜미디어인 페이스북, 트위터, 네이버블로그, 유튜브, 싸이월드, 미투데이에 대한 이미지 포지셔닝 분석을 실시하여, 각 소셜미디어에 대해서 사용자들이 어떠한 이미지로 인식하고 있는지를 분석하였다. 연구결과, 기업의 신뢰성 이미지와 기술 이미지 제고를 위해서는 페이스북과 트위터가 비교우위에 있었으며 기업의 마케팅 이미지와 장래성 이미지, 종합 이미지 제고를 위해서는 네이버 블로그를 활용했을 때 효과적인 것으로 나타났다. 이상의 결과들은 소셜미디어를 활용한 기업 마케팅 전략 수립시 참고자료로 활용될 수 있을 것이다. Social media is drawing attention among companies for its potential as a marketing tool. There are many types of social media and their characteristics are varied, and thus choosing the appropriate social media considering the purpose of the company is important. In this paper, we conduct comparative analysis on the popular social media such as Facebook, Twitter, Naver blog, Youtube, Cyworld and Me2day using multidimensional scaling method. The result shows that there are differences in the effectiveness of enhancing diverse dimensions of corporate image among social media. This result can be used in developing social media based marketing strategy.

클라우드 기반 우주감시정보 민·군 통합시스템 구축 개념 연구

이주석(Juseok Lee),김길호(Kilho Kim),이한준(Hanjun Lee),오승준(Seung Jun Oh) 한국항공우주학회 2021 한국항공우주학회 학술발표회 논문집 Vol.2021 No.11