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

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dc.contributor.author Chanda, Udayan
dc.date.accessioned 2023-05-01T07:01:18Z
dc.date.available 2023-05-01T07:01:18Z
dc.date.issued 2016-01
dc.identifier.uri https://www.tandfonline.com/doi/abs/10.1080/23270012.2015.1113895?journalCode=tjma20
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10600
dc.description.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 Problems get exaggerated due to the outdated labour laws, ironically established to support and protect workers.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. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Management en_US
dc.subject Labour unrest en_US
dc.subject Unorganized labour force en_US
dc.subject Unfair wage practices en_US
dc.subject Bayesian networks en_US
dc.title Bayesian network on labour dissonance: a social sector development challenge to India en_US
dc.type Article en_US


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