Bayesian network on labour dissonance:a social sector development challenge to India  

作　　者：Udayan Chanda Remica Aggarwal 

机构地区：[1]Department of Management,BITS Pilani,Pilani Campus,Pilani,India

出　　处：《Journal of Management Analytics》2016年第1期80-111,共32页管理分析学报（英文）

摘　　要：India’s unorganized labour force contributes about one third of the total labour sector.The scenario is even worse in the Indian automotive industry which employs a little over 7%on a permanent basis.Problems get exaggerated due to the outdated labour laws,ironically established to support and protect workers.The disappointing areas in the labour contract act and labour laws have led to unfair wage practices and a hostile work environment,giving way to labour discord.This research paper discusses the key issues of labour dissonance in the Indian automobile industry using a Bayesian network analysis.Real-life casestudy examples from the Indian automobile industry were considered to identify the rationale behind labour unrest.Bayesian analysis of a set of 250 responses helped us to understand the associations among key attributes of labour dissatisfaction.

关 键 词：labour unrest unorganized labour force unfair wage practices Bayesian network 

分 类 号：F42[经济管理—产业经济]