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Title: 根據網絡探勘的雇主品牌分析工具
Design of employer branding analysis tools based on network mining algorithms
Authors: 李魁林
Lee, Kuei-Lin
Contributors: 沈錳坤
Lee, Kuei-Lin
Keywords: 雇主品牌
Employer branding
Employer attraction
Employer brand loyalty
Enterprise endorsement network
Network mining algorithms
Date: 2017
Issue Date: 2018-03-02 12:04:36 (UTC+8)
Abstract: 『雇主品牌』是管理及行銷領域衡量企業作爲雇主對現任及潛在員工吸引力的方式,過去相關研究也多存在這兩個領域,研究的範疇包含雇主品牌對企業競爭力的影響、提升雇主品牌的方法及衡量雇主品牌的方式等。對於衡量雇主品牌的方式,過去多採用質性的訪談或量化的問卷統計的研究方法,研究的樣本及涵蓋的企業數量皆受到研究方法本身的限制。

Employer Branding is about how attractive an employer is to its talent pool and assures that current employees are engaged. The current development of the measurement methods of employer branding are qualitative and quantitative research methods. The limitation of these approaches is the coverage of companies and costs of studying.

This study presents a set of tools for employer branding analysis from large-scale resume database based on Backhaus & Tikoo’s Employer branding framework. The proposed approach constructs the Enterprise Endorsement Network which is a weighted directed graph of enterprises and the edge is generated from career transition records. Then network mining algorithms are employed to assess the employer attractiveness of enterprises. Furthermore, for employer brand loyalty, a probabilistic employee retention model is proposed and similar retention models of enterprises are clustered to build the baseline models for comparisons of retention tendency. Experiments on resume database for enterprises of Taiwan show the usefulness of the designed employer branding analysis tools.
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Description: 碩士
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Data Type: thesis
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