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Measuring the Effect of Yoga-Lifestyle on the Employees of Higher Education Institutions of West Bengal Through Structure Equation Modelling (SEM): A New Approach Towards Human Resource Management

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Recent Advances in Intelligent Information Systems and Applied Mathematics (ICITAM 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 863))

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Abstract

In this world of cut throat competition, individuals compete to emerge at the top as being a professionally successful individual. In doing so, the individuals’ neglect their own health as they do not get time to hone and nourish their health, be it mental or physical. After a stipulated period of time, this backfires on them and they face a multitude of physical health as well as mental health problems. The pace of an industry is an extrinsic factor and it is not under the control of the individual, however, the particular individual can take care of his health as much as possible to prevent a fall out later onwards. Yoga intervention can be a crucial remedial factor that aids the individual to become physically as well as mentally capable of functioning in an organisation (Maharana et al. 2014). Practicing yoga equips the persons with confidence and knowledge, ultimately, working wonders at the workplace. It might be said that the organisational effectiveness of the human resources increases exponentially if the individual adapts to the environment very well and gel with the other employees in order to produce the best results. The employee productivity of an organisation will also increase and errors would be minimized.

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Correspondence to Arunangshu Giri .

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Giri, A., Biswas, D., Chatterjee, S. (2020). Measuring the Effect of Yoga-Lifestyle on the Employees of Higher Education Institutions of West Bengal Through Structure Equation Modelling (SEM): A New Approach Towards Human Resource Management. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_67

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