Structural analysis between HR systems and HR outcomes to motivate employees based on Harvard Model

Yusuke Sato, Nobuyuki Kobayashi, Seiko Shirasaka

研究成果: Conference contribution

抄録

Rapid economic changes have recently been requesting human resource departments in Japanese firms to transform their roles and services. However, Paul et al. state that the focus of work on HRM is oriented towards HRM Policy Choices and short-term HR outcomes in Harvard Model. Therefore, Sato et al. insisted that we need to consider long-term consequences. The goal of this paper is to discover a causal relationship between HR Systems which is HRM Policy Choices and HRM outcomes including short-term HR outcomes and long-term consequences based on the Harvard model, in order to increase HRM outcomes including short-term HR outcomes and long-term consequences. We made the questionnaire survey and collected 516 answers. After that, we performed exploratory analysis (Multiple regression analysis) and confirmatory analysis (Covariance structure analysis). As a result, we confirmed that "Expectation in the Recruiting"plays an important role in increasing HR Outcomes.

本文言語English
ホスト出版物のタイトルProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
編集者Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, Sachio Hirokawa
出版社Institute of Electrical and Electronics Engineers Inc.
ページ570-575
ページ数6
ISBN(電子版)9781728173979
DOI
出版ステータスPublished - 2020 9
イベント9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020 - Kitakyushu, Japan
継続期間: 2020 9 12020 9 15

出版物シリーズ

名前Proceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020

Conference

Conference9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
国/地域Japan
CityKitakyushu
Period20/9/120/9/15

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理

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