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1.
Int J Health Care Qual Assur ; 24(5): 348-65, 2011.
Article in English | MEDLINE | ID: mdl-21916089

ABSTRACT

PURPOSE: The purpose of this study is to investigate the cognition of knowledge management (KM) among hospital employees and the relationship between KM and the KM enabler activities (financial, customer, internal business processes, learning and growth) in a regional hospital in Taiwan. DESIGN/METHODOLOGY/APPROACH: Both qualitative and quantitative research were used in this study. The instrument was conducted using in-depth interviews of three policy-makers as participants. The quantitative data were collected from a regional hospital in the Northern part of Taiwan with a 77 percent effective response rate (n=154). FINDINGS: The findings in this paper indicate that the cognition and demand for KM in subordinates is close to the expectations of policy-makers. The policy-makers expect subordinates working in the hospital to be brave in taking on new responsibilities and complying with hospital operation norms. KM is emphasized as a powerful and positive asset. Moreover, understanding KM predicts good performance in an organization. RESEARCH LIMITATIONS/IMPLICATIONS: The findings in this paper can be generalized to other regional hospitals. The findings may be applied to a wider population. PRACTICAL IMPLICATIONS: This study can provide insights into the perceptions and cognitions of workers in a hospital about KM and the activities of KM enablers. The responses and perceptions observed in the interviews in this study, as well as the quantitative research results could be useful to other hospitals and individuals who engage KM as a new management trend. ORIGINALITY/VALUE: This study suggested KM guidelines for policy-makers who are experienced managers.


Subject(s)
Employee Performance Appraisal , Knowledge Management , Organizational Policy , Personnel, Hospital/psychology , Cognition , Health Knowledge, Attitudes, Practice , Hospital Administration , Humans , Interdisciplinary Communication , Job Satisfaction , Leadership , Male
2.
Waste Manag ; 28(8): 1386-94, 2008.
Article in English | MEDLINE | ID: mdl-17689065

ABSTRACT

While Taiwanese hospitals dispose of large amounts of medical waste to ensure sanitation and personal hygiene, doing so inefficiently creates potential environmental hazards and increases operational expenses. However, hospitals lack objective criteria to select the most appropriate waste disposal firm and evaluate its performance, instead relying on their own subjective judgment and previous experiences. Therefore, this work presents an analytic hierarchy process (AHP) method to objectively select medical waste disposal firms based on the results of interviews with experts in the field, thus reducing overhead costs and enhancing medical waste management. An appropriate weight criterion based on AHP is derived to assess the effectiveness of medical waste disposal firms. The proposed AHP-based method offers a more efficient and precise means of selecting medical waste firms than subjective assessment methods do, thus reducing the potential risks for hospitals. Analysis results indicate that the medical sector selects the most appropriate infectious medical waste disposal firm based on the following rank: matching degree, contractor's qualifications, contractor's service capability, contractor's equipment and economic factors. By providing hospitals with an effective means of evaluating medical waste disposal firms, the proposed AHP method can reduce overhead costs and enable medical waste management to understand the market demand in the health sector. Moreover, performed through use of Expert Choice software, sensitivity analysis can survey the criterion weight of the degree of influence with an alternative hierarchy.


Subject(s)
Environmental Pollution/prevention & control , Medical Waste Disposal/methods , Waste Management/methods , Algorithms , Conservation of Natural Resources , Data Collection , Environment , Environmental Pollutants , Environmental Pollution/analysis , Hazardous Waste , Humans , Medical Waste , Models, Statistical , Models, Theoretical , Sensitivity and Specificity
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