Analysis of environmental factors of human resource management process model from the perspective of Computer Engineering

Author(s):  
Li Wang ◽  
Feng Jin
Author(s):  
Véronique Guilloux ◽  
Florence Laval ◽  
Michel Kalika

This paper presents the results of a longitudinal exploratory survey based on a sample of French firms. Different contexts of Intranet, as well as introduction, development stages, performance and Intranet content are presented. Three approaches are in existence: corporate Intranet, specialized Intranet and HR Intranet. These can be linked to different stages of development: communication, functional support, and knowledge management. The HR Function will be successful if it integrates Intranet in its management process, if the players are aware of the stakes and they behave as “real change agents”. Research shows the importance of strategic alignment between human resource management (HRM) and Intranet as well as the relevance of technological infusion, therefore, this paper’s result in showing a configurative approach that allows the integration of more variables and in turn leads to a systemic model contains great significance.


Author(s):  
Clive Trusson

The Human Resource Management profession has increasingly taken an interest in applying analytical techniques to data collected concerning organizational human resources, typically referred to as human capital analytics. However, as yet, the teaching of such techniques has not become prevalent within professional training. This chapter intends to inform and support teachers of HRM who need to engage with the discourse surrounding this important new area for the profession. It includes the presentation of a process model for teaching human capital analytics to HRM professionals and a discussion on the implications for the HRM profession of the ‘rise' of human capital analytics. These include the need to include human capital analytics within taught HRM professional programmes and an urgent requirement for credible empirically-based research in the area of human capital analytics to support the development of teaching content.


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