Using an HRM pattern approach to examine the productivity of manufacturing firms - An empirical study

Liang-Hsuan Chen, Shu Yi Liaw, Tzai Zang Lee

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


Manufacturing firms are always faced with the problem of promoting operational performance and labor-force management. The utilization of human resources is closely correlated with operations and production performance. This study investigates the correlation between human resource management (HRM) and business performance of large-scale manufacturing firms in Taiwan. First, 16 subjects of HRM are designed to survey the importance level and achievement level of HRM by the sample firms. Productivity indices are also defined to measure business performance. Based on the survey, four critical HRM factors including 12 subjects are extracted by factor analysis. The difference between importance level and achievement level of subjects contained in each factor is examined. Furthermore, considering importance and achievement levels of HRM as features, fuzzy clustering analysis is employed to categorize the firms into four patterns. With various HRM characteristics, each pattern has different business performance in terms of productivity. Using a pattern approach, these findings can aid the firms in each pattern to improve their productivity by improving their HRM strategies.

Original languageEnglish
Pages (from-to)299-320
Number of pages22
JournalInternational Journal of Manpower
Issue number3
Publication statusPublished - 2003 Oct 7

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Organizational Behavior and Human Resource Management
  • Management of Technology and Innovation


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