DonHee Lee
College of Business Administration
Service qualityBusinessPsychologyNursingHealth careMarketingOrganizational performanceCustomer satisfactionProcess managementHuman resource managementOperations managementQuality (business)Service (business)Healthcare industryResearch modelPublic relationsIndustrial organizationComputer scienceSupply chain managementCertificationMedical educationKnowledge managementStructural equation modelingQuality management
46Publications
13H-index
753Citations
Publications 46
Newest
#1Sang M. Lee (NU: University of Nebraska–Lincoln)H-Index: 59
#2DonHee Lee (NU: University of Nebraska–Lincoln)H-Index: 13
Last. Marc J. Schniederjans (NU: University of Nebraska–Lincoln)H-Index: 30
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Purpose – The purpose of this paper is to examine supply chain (SC) innovation for improving organisational performance in the healthcare industry.Design/methodology/approach – A research model is proposed which describes the impact of SC innovation, supplier cooperation, SC efficiency, and quality management (QM) practices on organisational performance. The proposed research model and hypotheses were tested using structural equation modeling based on data collected from 243 hospitals.Findings –...
125 CitationsSource
#1DonHee Lee (NU: University of Nebraska–Lincoln)H-Index: 13
#2Sang M. Lee (NU: University of Nebraska–Lincoln)H-Index: 59
Last. Marc J. Schniederjans (NU: University of Nebraska–Lincoln)H-Index: 30
view all 3 authors...
The problem of medical errors as a factor of service quality has become critically important for healthcare providers. The research model in this paper describes how employee satisfaction with organizational support (ESWOS) and organizational systems supported by an organizational culture impact medical error reduction. The proposed research model was tested using structural equation modelling for hypotheses, based on data collected from 186 respondents in four selected hospitals. The results of...
13 CitationsSource
#1DonHee Lee (College of Business Administration)H-Index: 13
#2Seong No Yoon (College of Business Administration)H-Index: 7
Last. Yonpae Park (College of Business Administration)H-Index: 1
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Web 2.0 has enabled businesses, especially online retailers, to provide new services to enhance customer value and to increase sales. A notable example of these services or technologies is the online product recommendation system that serves to reduce consumer search costs and risks associated with the purchase of unfamiliar products. Electronic word-of-mouth systems (EWOMS) are online product recommendation systems that allow consumers to electronically post information in the form of product r...
7 CitationsSource
#1Soong Hwan Chung (Hansung University)H-Index: 2
#2Doo Chae Jung (Namseoul University)H-Index: 1
Last. DonHee Lee (NU: University of Nebraska–Lincoln)H-Index: 13
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Today there is an increasing demand for quality health care throughout the world. Such demand requires the medical service industry to equip with high technologies and high caliber professionals (e.g., doctors and nurses), to contain cost and improve quality of care. Since the medical service industry constantly suffers from the shortage of nursing manpower, forecasting the supply and demand of nursing manpower is an important issue. This study proposes a forecasting model for nursing manpower r...
10 CitationsSource
#1DonHee Lee (NU: University of Nebraska–Lincoln)H-Index: 13
#2Sang M. Lee (NU: University of Nebraska–Lincoln)H-Index: 59
Last. Soong Hwan Chung (Hansung University)H-Index: 2
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Purpose – The purpose of this paper is to propose a model to examine the impact of organizational support on behavioral intention (BI) regarding enterprise resource planning (ERP) implementation based on the technology acceptance model (TAM).Design/methodology/approach – A research model is proposed which describes the effects of organizational support, both formal and informal, on factors of TAM. A survey questionnaire is developed to test the proposed model. A total of 700 of questionnaires ar...
131 CitationsSource
#1David L. Olson (NU: University of Nebraska–Lincoln)H-Index: 62
#2Qing Cao (TTU: Texas Tech University)H-Index: 1
Last. DonHee Lee (NU: University of Nebraska–Lincoln)H-Index: 13
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Segmentation of customers by likelihood of repeating business is a very important tool in marketing management. A number of approaches have been developed to support this activity. This article reviews basic recency, frequency, and monetary (RFM) methods on a set of data involving the sale of beef products. Variants of RFM are demonstrated. Classical data mining techniques of logistic regression, decision trees, and neural networks are also demonstrated. Results indicate a spectrum of tradeoffs....
21 CitationsSource