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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/10600
Title: Bayesian network on labour dissonance: a social sector development challenge to India
Authors: Chanda, Udayan
Keywords: Management
Labour unrest
Unorganized labour force
Unfair wage practices
Bayesian networks
Issue Date: Jan-2016
Publisher: Taylor & Francis
Abstract: 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 Problems get exaggerated due to the outdated labour laws, ironically established to support and protect workers.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 case-study 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.
URI: https://www.tandfonline.com/doi/abs/10.1080/23270012.2015.1113895?journalCode=tjma20
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10600
Appears in Collections:Department of Management

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