Exploring the performance of mentoring program :the application of SEM Latent Growth Model

碩士 === 國立屏東科技大學 === 企業管理系所 === 105 === In the rapidly changing competitive business environment.Knowledge-based economy has become a new economic patterns. "People-oriented" personnel training and develop, often become a successful business, the establishment of holding competitive most cr...

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Bibliographic Details
Main Authors: Chen, Xi-Wei, 陳璽蔚
Other Authors: Shen, Ching-Lung
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/9z24rz
Description
Summary:碩士 === 國立屏東科技大學 === 企業管理系所 === 105 === In the rapidly changing competitive business environment.Knowledge-based economy has become a new economic patterns. "People-oriented" personnel training and develop, often become a successful business, the establishment of holding competitive most crucial factor. Therefore,Many company education new employees quickly and efficiently through the mentoring purposes.How through mentoring purposesdevelopment of human capitalbecomes an important management issue both for academy. This research select Q-Ta Precision Industry Co. as our research subject. To prevent from the commonmethod variance (CMV) and respondents' measurement errors, questionnaire will be divided into mentor's andprotégé's versions and data will be collected from them respectively. Weto collect the first time data at the mentoring program initiating month. All together , at least 6 month sequenced period and data repeatedcollectionsexecuted, and Latent Growth Modeling (LGM) from SEMbe used as the statistical methodto analyze the collected data. After using LGM to analyze the data, we can conclude that: 1. The system design and implementation approach of Q-TA's Mentoring. 2. Q-TA's Mentoring implemented for new employees has a positive impact on the task performance, job satisfaction,reduce job stress ,organization Socialization and innovation behavior. 3. Moderator effect perceptual similarity, self-disclosure, self-efficacy, teacher guide function, demographic variables.