肯尼亚大学与教学医院战略合作联盟结构设计及其对竞争优势的影响

Paul Sesi, J. Ndegwa
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摘要

肯尼亚是尚未实现全民医疗保健目标的发展中国家之一。它将卫生保健领域的合作作为实现全民健康目标的关键,并将其定为目标。因此,研究的总体目标是确定联盟结构设计对肯尼亚大学和教学医院战略合作竞争优势的影响。本研究采用实证主义研究哲学和描述性横断面研究设计。研究对象分别是经肯尼亚医生和牙医委员会批准的10所大学和10所教学医院。采用了人口普查技术,利用人口中的所有要素,使用结构化调查表收集初级数据,而使用文件审查指南收集次级数据。描述性统计分析使用频率、集中趋势和分散的度量,而相关性、交叉表和有序逻辑回归用于推理统计分析。有序逻辑回归有助于确定预测变量和结果变量之间关系的显著性。研究表明,联盟结构对合作竞争优势有显著影响。竞争优势是通过财务结果、学习和成长来实现的。联盟结构设计对高校(β = 1.513, p < 0.05)、教学医院(β = 1.518, p < 0.05)和联合医院(β = 1.520, p < 0.05)的财务结果有显著预测作用。联盟结构设计对高校(β = 1.594, p < 0.05)、教学医院(β = 1.231, p < 0.05)和联合医院(β = 1.371, p < 0.05)的学习和成长也有显著的预测作用。
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Alliance structural design and its influence on competitive advantage in strategic collaborations between universities and teaching hospitals in Kenya
Kenya is one of the Developing countries that are yet to attain universal healthcare goals. It targets and envisions collaborations in healthcare as being critical to the realization of the universal health goals. The general objective of the study was therefore toestablish the influence of the alliance structural design on strategic collaboration competitive advantage among universities and teaching hospitals in Kenya. This study adopted a positivist philosophy and a descriptive cross sectional research design. The study population comprised 10 universities and 10 teaching hospitals as approved, by the Kenya Medical Practitioners and Dentists Council, respectively. The census technique was deployed to make use of all the elements in the population with primary data collected by use of a structured questionnaire, while secondary data was collected using a document review guide. Frequencies, measures of central tendency and dispersal were used in descriptive statistical analysis while correlations, cross tabulations and ordinal logistic regression were used for inferential statistical analysis. Ordinal logistic regression helped determine the significance of relationships between the predictor and outcome variables. The study established that the alliance structurewas significant for collaboration competitive advantage. Competitive advantage was operationalized using financialoutcomes and learning and growth. Alliance structural design was a significant predictor of the financial outcome of universities (β = 1.513, p < 0.05), teaching hospitals (β = 1.518, p < 0.05) and in combination (β = 1.520, p < 0.05). Alliance structural design was also a significant predictor of learning and growth in universities (β = 1.594, p < 0.05), teaching hospitals (β = 1.231, p < 0.05) and combined (β = 1.371, p < 0.05).
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