An empirical investigation of the China Quality Award causal model

Jun Yong Xiang; Zhen He; Yung Ho Suh; Jae Young Moon; Ya Fen Liu

doi:10.1108/15982681011051822

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Asian Journal on Quality

ISSN: 1598-2688

Online from: 2000

Subject Area: Managing Quality

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An empirical investigation of the China Quality Award causal model

Document Information:
Title:	An empirical investigation of the China Quality Award causal model
Author(s):	Jun Yong Xiang, (School of Management, Tianjin University, Tianjin, China), Zhen He, (School of Management, Tianjin University, Tianjin, China), Yung Ho Suh, (College of Business Administration, Kyung Hee University, Seoul, South Korea), Jae Young Moon, (Division of Business, Dongseo University, Busan, South Korea), Ya Fen Liu, (School of Management, Tianjin University, Tianjin, China)
Citation:	Jun Yong Xiang, Zhen He, Yung Ho Suh, Jae Young Moon, Ya Fen Liu, (2010) "An empirical investigation of the China Quality Award causal model", Asian Journal on Quality, Vol. 11 Iss: 1, pp.49 - 68
Keywords:	Baldrige award, China, Quality awards
Article type:	Research paper
DOI:	10.1108/15982681011051822 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Acknowledgements:	This paper is supported by the Natural Science Foundation of China (NSFC No. 70931004).
Abstract:	Purpose – The purpose of this paper is to analyze the causal relationships among categories in the China Quality Award (CQA) model based on the Malcolm Baldrige National Quality Award model. Design/methodology/approach – The paper identifies seven factors from CQA categories: leadership, strategic planning, human resource focus, process management, customer and market focus, information and analysis, and results. Extending the basic Baldrige theory “Leadership drives the system that creates results,” this paper identifies driver (leadership), direction (strategic planning), foundation (information and analysis), system (human resource focus, process management, and customer and market focus), and results(business results). Structural equation model (SEM) is used to analyze the empirical data and estimate the path coefficients among CQA categories. Findings – First, driver has not only a direct influence on results, but also has an indirect influence on results through system. Leadership has a great influence on foundation and direction. Second, direction affects human resource focus and customer and market focus of system while it has no influence on process management. Third, human resource focus and customer and market focus both affect process management, and process management has a significant impact on results. Fourth, foundation affects direction and all of the categories of system. Originality/value – There are few studies which try to analyze the causal relationships among categories in the CQA model.