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입원기간에 따른 의료서비스 품질요인이 고객만족에 미치는 영향에 관한 연구
이훈영 ( Hoon Young Lee ),정기택 ( Kee Taig Jung ),신은규 ( Eun Kyu Shine ),한용준 ( Yong Jun Han ) 한국병원경영학회 2008 병원경영학회지 Vol.13 No.3
The purpose of this study is to identify which factors of medical service quality were considered important by patients based on survey on eight hospitals located in Seoul. We analyzed the difference in impact of health service quality factors between the two groups with short and long inpatient days. In addition, we analyzed which service factors affected the customer satisfaction more differently across the inpatient groups. We found that patient satisfaction was not different between the two groups with short and long inpatient days. But the two groups showed different priority orders of medical service factors that affect patient satisfaction. In the group with long inpatient days, the order of medical service factors are cleanness, speciality, process. In the group with short stay, important factors are speciality, cleanness and convenience of facilities. These findings imply that hospitals should set up different marketing strategies across the different inpatients groups.
비교대안의 속성수준 분포가 대안평가에 미치는 영향 - 지식수준과 평가방법에 따른 속성분포 정보의 활용 -
이훈영 ( Hoonyoung Lee ),서상윤 ( Sangyun Seo ) 경남대학교 산업경영연구소 2015 지역산업연구 Vol.38 No.3
본 연구에서는 주변대안의 속성수준 분포 맥락이 속성에 대한 평가에 영향을 미칠 수 있음을 범위-빈도이론과 적응수준이론에 기반하여 설명하고자 하였다. 그리고 소비자들이 대안을 평가할 때 제품지식과 평가방법에 따라 활용하는 준거정보에 차이가 있는지도 살펴보고자 하였다. 연구결과 응답자들은 대안을 평가할 때 주변맥락에 상당히 영향을 받음을 보였고, 이는 기존 연구결과와 맥락을 같이한다. 응답자는 대안 평가시 외적 준거(범위와 순위) 정보 뿐 만 아니라 내적준거(분포의 평균)정보를 활용하여 평가하지만 그 설명력에 있어서는 범위와 빈도 준거점 정보를 이용한 소비자 대안평가의 예측력이 평균 정보를 이용한 예측력 보다 더 높았다. 그리고 제품지식 정도에 따라 제품지식이 낮은 소비자들은 분포 범위가 대안평가에 주로 영향을 주었으며, 제품지식이 높은 소비자들은 제품지식이 낮은 소비자들과 비교하여 분포 패턴은 유사하나 전반적인 평가값이 낮게 나타난 것으로 보아 범위와 순위 등 외적준거 뿐 만 아니라 평균값과 같은 내적준거가 대안평가에 영향을 주었을 것으로 보인다. 그리고 대안 평가방식에 따른 준거점 정보의 활용정도는 대안들을 동시에 비교 평가하는 경우 대안을 개별적으로 평가하는 경우 보다 속성의 분포범위가 대안평가에 보다 영향을 미치는 것으로 나타났다. This research intended to investigate how the distribution of contextual stimuli affects the subjective judgment based on the range-frequency theory, and adaptation level theory. In addition, we study that the reference information differs from product knowledge, and evaluation mode. The results suggest several implications that the consumer's judgment to alternatives is likely to depend on the stimuli context, and to stand on the line of previous research findings. The consumer utilized both the external and internal information, but the external information, such as distribution range and ranks, explained the consumer's subjective judgment better than internal information did. In addition, the respondent who has the less product knowledge depended on the information of distribution range, but the more the respondent has product knowledge utilized the more external and internal information of distribution. Also, the utilized information of contextual distribution differs from evaluation mode(simultaneous evaluation, separate evaluation).
반복적인 두개내 감염에서 유리대망피판을 이용한 경질막 재건
이훈영(Hoon Young Lee),은석찬(Seok Chan Eun),한정호(Jung Ho Han),방재승(Jae Seung Bang),김재용(Chae Yong Kim),박도중(Do-joong Park),백롱민(Rong Min Baek) 대한두개저학회 2011 대한두개저학회지 Vol.6 No.1
Purpose : Postoperative cerebrospinal fluid (CSF) leakage after neurosurgery could lead to potentially lethal complications. Reoperations, multiple operations, cranial radiotherapy and poor vascularization of the dura graft may lead to delayed healing of the suture site and resultant persistent CSF leaks. In this report, we present a technical experience of duroplasty with omental free flap. Methods : Between 2007 and 2011, the authors performed duraplasty in nine patients with recurrent subdural empyema and intracranial infection. The omental free flap transfer was intended for patients who could not be cured with conventional surgical debridement and lyophilized dura appliance. Patient ages ranged from 14 to 47 years (mean, 31.5 yr). There were five men and four women. Treatment was required for malignant tumors (n=4), cerebral hematomas (n=3) and the result of traumas (n=2). After harvesting the omentum laparoscopically, the flap was sutured to the dural defect in a watertight fashion. The most commonly used recipient vessels were the superficial temporal artery and vein. Results : The postoperative course was uneventful and flap survival was excellent in all patients. Cerebrospinal fluid leaks were controlled successfully. Patients were discharged with no evidence of wound discharge and there were no reports of infection or CSF leakage recurrence. Conclusion : Duraplasty using omental flap is an effective technique to control CSF leaks, especially when dura is poorly vascularized and less viable. The delicate nature and great pliability of the omental flap make it unique and competent for reconstructions of dural defects.
이훈영(Hoon Young Lee),임민형(Min Hyung Lim),양주환(Joo Hwan Yang) 한국경영학회 2003 經營學硏究 Vol.31 No.7
The purpose of this study is to develope the marketing decision making support system that can effectively estimate customer utility in terms of interactive communication with customer by using the information system like internet. Interactive communication using internet reduces the large portion of respondent burden in responding to the complicate questions in conjoint research. The system collect the data allowing respondents choose the most preferred among four possible products generated by orthogonal design in conjoint analysis and shown in the computer screen instead of sorting many products in terms of their preference. Respondents are not forced to answer all the fixed number of questions. Rather they can stop answering the questions at any moment. When the information obtain from respondents are not enough, the system will infer the information necessary to analyze the respondent`s utility from the existing response database using case based reasoning technique. The contribution of this study can be summarized as follows. Firstly, this study is a meaningful attempt to improve marketing research method. In the traditional conjoint analysis the number of cards generated was the great burden of respondent, which was greatly reduced by the computerized system developed in this study. However the forecasting accuracy of the system was as good as the model generated by the traditional method. Secondly, the system enable to use the accumulated customer utility data in developing diverse marketing activities such as market segmentation, new product development, and market simulations. Thirdly, the system can recommend the products according to the customer utility estimated. It will increase customer`s satisfaction but reduce the company`s sales expenses. Lastly, by analyzing the utility data in the database, the company can develop various database marketing and customer relationship management strategies.
웹 서비스품질이 사이버 브랜드자산의 구축에 미치는 영향에 관한 연구
이훈영(Hoon Young Lee),박기남(Ki Nam Park) 한국마케팅학회 2000 마케팅연구 Vol.15 No.1
본 연구는 브랜드자산에 관한 기존연구들 고찰하여 지금까지 정의되지 않았던 사이버브랜드 자산의 개념을 새롭게 정의하고 그 구성 요소들을 구성하였다, 또한 웹 서비스라는 용어에 관한 학문적 정의를 내리고 웹 서비스의 품질을 구성하는 구성요소로 정보서비스 품질차원과 광고서비스 품질차원을 정의하였다.정의된 웹 서비스 품질차원들을 바탕으로 사이버 브랜드자산의 구성요소들에 미치는 영향을 실증 분석한 결과 웹 서비스품질이 대부분의 사이버 브랜드자산의 구성요소들에 유의한 영향을 미치는 것으로 나타났다. 이 연구의 결과는 향후 대규모 광고를 수행할 수 없는 중소규모 사이트들의 사이버 브랜딩전략의 수립에 실질적인 시사점을 제공할 수 있을 것으로 기대한다.
사례기반예측시스템의 정확한 예측을 위한 최적 결합 사례개수결정방법에 관한 연구
이훈영(Hoon Young Lee),박기남(Ki Nam Lee) 한국경영학회 1998 經營學硏究 Vol.27 No.5
A case-based forecasting system has been used to predict the outcome of current problem using those of past analogous cases. However, the effectiveness of its forecasting depends on the three factors: (1)accurate measure of similarity, (2)appropriate determination of the number of cases to combine, and (3)appropriate weighting of similar cases when combining them to produce a forecast. Among these three, determining the number of cases to combine is the most critical to the accuracy of forecasting. In this paper, we thus focused on the second, though briefly addressing these all three factors. We suggested several methods to determine the number of cases to combine, such as (1)fixed number combining methods, (2)optimal spanning methods, and (3)mathematical programming model using similarity distribution. A simulation study was conducted to test their effectiveness for accurate forecasting. It proved mathematical programming model using similarity distribution the best among the suggested.