作者
Arnold Saputra, Gunawan Wang, Justin Zuopeng Zhang, Abhishek Behl
发表日期
2022/1/18
期刊
The TQM Journal
卷号
34
期号
1
页码范围
178-198
出版商
Emerald Publishing Limited
简介
Purpose
The era of work 4.0 demands organizations to expedite their digital transformation to sustain their competitive advantage in the market. This paper aims to help the human resource (HR) department digitize and automate their analytical processes based on a big-data-analytics framework.
Design/methodology/approach
The methodology applied in this paper is based on a case study and experimental analysis. The research was conducted in a specific industry and focused on solving talent analysis problems.
Findings
This research conducts digital talent analysis using data mining tools with big data. The talent analysis based on the proposed framework for developing and transforming the HR department is readily implementable. The results obtained from this talent analysis using the big-data-analytics framework offer many opportunities in growing and advancing a company's talents that are not yet realized …
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