|
JAIST Repository >
JAIST >
Theses >
Doctor of Philosophy（Knowledge Science） >
R04) (Jun.2022 - Mar.2023 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/18185
|
| Title: | 現代的な人的資源管理のデータ科学への展開：サウジアラムコにおける知識管理との統合 |
| Authors: | ALMALKY, NABIL ATIYAH A |
| Authors(alternative): | あるまるき, なびる あてや あ |
| Keywords: | human resource management (HRM)
modern HRM
knowledge management (KM)
psychological safety
dependability
evidence-based decisions
traditional HRM
traditional KM
modern HRM
HRM as a data science |
| Issue Date: | Dec-2022 |
| Description: | Supervisor:神田 陽治
先端科学技術研究科
博士 |
| Title(English): | Evolving Modern Human Resource Management as a Data Science: Integration with Knowledge Management in Saudi ARAMCO |
| Authors(English): | ALMALKY, NABIL ATIYAH A |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/18185 |
| Academic Degrees and number: | 甲第1353号 |
| Degree-granting date: | 2022-12-23 |
| Degree name: | 博士(知識科学) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-KS. 2022年度(R04) (Jun.2022 - Mar.2023)
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 250Kb | Adobe PDF | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|
