贝叶斯网络揭示了公共服务中工作场所创新和职业满意度的途径

IF 3.6 2区管理学 Q2 BUSINESS

Journal of Management Analytics Pub Date : 2020-04-02 DOI:10.1080/23270012.2020.1749900

Warit Wipulanusat, K. Panuwatwanich, R. Stewart, Stewart L. Arnold, Jue Wang

引用次数: 25

摘要

本文使用基于经验推导的结构方程模型的贝叶斯网络（BN）来检验澳大利亚公共服务（APS）的创新过程。BN的重点是。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service

This paper examined the innovation process in the Australian Public Service (APS) using a Bayesian network (BN) founded on an empirically derived structural equation model. The focus of the BN was ...

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来源期刊

Journal of Management Analytics SOCIAL SCIENCES, MATHEMATICAL METHODS-

CiteScore

13.30

自引率

3.40%

发文量

期刊介绍： The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.