Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/116162


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
李魁林
Lee, Kuei-Lin
Keywords: 雇主品牌
雇主吸引力
雇主品牌忠誠
公司關聯圖
網路探勘
Employer branding
Employer attraction
Employer brand loyalty
Enterprise endorsement network
Network mining algorithms
PageRank
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。

本研究提出一組以大量履歷資料庫數據爲基礎的雇主品牌分析工具。包含將資料庫轉換爲公司關聯圖的形式,透過圖形分析及網路探勘的演算法去衡量公司的雇主品牌對潛在僱員的吸引力,以及透過分析全市場的公司留任狀況,將相似公司的留任模型分群歸納後建立一個員工留任模型的基準,讓企業可以參考並用以衡量現有僱員的雇主品牌忠誠。
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
國立政治大學
資訊科學系碩士在職專班
100971004
Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100971004
Data Type: thesis
Appears in Collections:[資訊科學系碩士在職專班] 學位論文

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