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Relevant Research of Knowledge Transformation and Core Competencies Formation of China's Star Hotel Industry

机译:中国明星酒店产业知识转型与核心竞争力的相关研究

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In order to reveal knowledge conversion effect in star hotels in China, structural equation model (SEM) is used in this paper. By model design, data collection, reliability and validity testing, and model validation, SEM can effectively reveal the correlation between knowledge conversion and the formation of core competence. For illustration, a total of 250 valid samples were obtained from 34 five-star hotels, 67 four-star hotels, 68 three-star hotels, 56 two-star hotel, 25 one-star hotel. The ratio of numbers of samples and index were 7.8:1, which met the basic conditions for structural equation validation. The empirical results showed that through confirmatory factor analysis the minimum load factor was 0.54, the maximum was 0.90, the minimum T value was 2.10, RMSEA value was 0.036, NNF1 value was 0.9191, CF1 value was 0.9657, and chisquare value was 123.32. Therefore, the model was well fitted. In China's star hotel industry knowledge conversion is favor of the formation of the core capacity elements to a certain degree. The empirical research has revealed that the core service capacity of China-star hotels have been inspired by knowledge conversion behavior. However, the specific implementation methods should be conducted according to different star hotels.
机译:为了揭示中国星级酒店的知识转换效果,本文使用了结构方程模型(SEM)。通过模型设计,数据收集,可靠性和有效性测试和模型验证,SEM可以有效地揭示知识转换与核心竞争力的形成之间的相关性。出于插图,共有250个有效的样本,从34个五星级酒店,67家四星级酒店,68家四星级酒店,56家酒店,56家两星级酒店,25个四星级酒店。样品和指数数量的比例为7.8:1,符合结构方程验证的基本条件。经验结果表明,通过确认因子分析,最小载荷因子为0.54,最大值为0.90,最小T值为2.10,RMSEA值为0.036,NNF1值为0.9191,CF1值为0.9657,CF1值为123.32。因此,该模型适合。在中国的星级酒店业知识转换中,转换有利于将核心容量元素的形成到一定程度。实证研究表明,中国星级酒店的核心服务能力受到知识转换行为的启发。但是,应根据不同的星级酒店进行具体实施方法。

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