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

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

研究成果: Article同行評審

23 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)299-320
頁數22
期刊International Journal of Manpower
24
發行號3
DOIs
出版狀態Published - 2003 十月 7

All Science Journal Classification (ASJC) codes

  • 策略與管理
  • 組織行為與人力資源管理
  • 技術與創新管理

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