HRM and Quantitatives: Decision Tree and Vector Analysis in HRM Theory
HRM and Quantitatives: Decision Tree and Vector Analysis in HRM Theory作者机构:Ondokuz Mayls University Samsun Turkey
出 版 物:《Chinese Business Review》 (中国经济评论(英文版))
年 卷 期:2014年第13卷第6期
页 面:382-387页
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0824[工学-船舶与海洋工程] 082401[工学-船舶与海洋结构物设计制造]
主 题:人力资源管理 决策树分析 管理理论 矢量分析 HRM 数量特征 定量方法 组织行为
摘 要:Research topic of this paper is to discuss theory of Human Resources Management (HRM) and to discuss using of quantitative methods in HRM. Firstly, five variables establish HRM theory. They are HRM practices, positive organizational behaviors, individual performance, performance of business departments, and firm performance. Transactions among those variables enable Human Resources (HR) practitioners to apply HRM theory in their organizations. Secondly, this paper discusses use of quantitative methods in HRM. They are vector analysis and decision tree analysis. Those analyses enable HR practitioners to make effective HR decisions. Decision tree sets HR alternatives to efficiently implement HRM practices in organizations. Research question is how HR practitioners apply quantitative methods in department of HRM in firms. Finally this research comes out a conclusion that quantitative methods may be used in HRM.