TY - JOUR
T1 - An empirical investigation of the Baldrige framework using applicant scoring data
AU - Mai, Feng
AU - Ford, Matthew W.
AU - Evans, James R.
N1 - Publisher Copyright:
© 2018, Emerald Publishing Limited.
PY - 2018/9/3
Y1 - 2018/9/3
N2 - Purpose: The purpose of this paper is to overcome evaluative limitations of previous studies to provide a more decisive test of the causal relationships implied in the Baldrige Criteria for Performance Excellence (CPE) using a unique data source. Design/methodology/approach: The authors employ partial least squares path modeling on blinded scoring data from Baldrige Award applicants. In addition, the authors conduct multi-group analysis to examine whether the hypothesized causal model is universal across different industry sectors. Findings: The path analysis provided strong support for the CPE framework in its entirety. However, analysis of sector-specific subsets of the data did not confirm all relationships, suggesting the possibility of industry-dependent performance excellence frameworks and raising new research questions to be explored. Practical implications: This research offers several pertinent implications for managers who seek to translate the theoretical CPE framework to actionable quality-improvement efforts. Originality/value: CPE operationalizes many total quality management (TQM) concepts and provides guidelines to TQM programs. This study validates the CPE framework using the most relevant data set to date – the applicant scoring data. The authors are also the first to investigate the cross-industry differences in the relationships between the CPE constructs.
AB - Purpose: The purpose of this paper is to overcome evaluative limitations of previous studies to provide a more decisive test of the causal relationships implied in the Baldrige Criteria for Performance Excellence (CPE) using a unique data source. Design/methodology/approach: The authors employ partial least squares path modeling on blinded scoring data from Baldrige Award applicants. In addition, the authors conduct multi-group analysis to examine whether the hypothesized causal model is universal across different industry sectors. Findings: The path analysis provided strong support for the CPE framework in its entirety. However, analysis of sector-specific subsets of the data did not confirm all relationships, suggesting the possibility of industry-dependent performance excellence frameworks and raising new research questions to be explored. Practical implications: This research offers several pertinent implications for managers who seek to translate the theoretical CPE framework to actionable quality-improvement efforts. Originality/value: CPE operationalizes many total quality management (TQM) concepts and provides guidelines to TQM programs. This study validates the CPE framework using the most relevant data set to date – the applicant scoring data. The authors are also the first to investigate the cross-industry differences in the relationships between the CPE constructs.
KW - Baldrige Award
KW - Path analysis
KW - Performance measurement
KW - Process improvement
KW - Quality management and systems
KW - Structural equations modelling
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UR - http://www.scopus.com/inward/citedby.url?scp=85051810049&partnerID=8YFLogxK
U2 - 10.1108/IJQRM-12-2016-0215
DO - 10.1108/IJQRM-12-2016-0215
M3 - Article
AN - SCOPUS:85051810049
SN - 0265-671X
VL - 35
SP - 1599
EP - 1616
JO - International Journal of Quality and Reliability Management
JF - International Journal of Quality and Reliability Management
IS - 8
ER -