A text mining analysis of online reviews of Indian hotel employees

dc.contributor.author Chittiprolu, Vinay
dc.contributor.author Singh, Swati
dc.contributor.author Bellamkonda, Raja Shekhar
dc.contributor.author Vanka, Sita
dc.date.accessioned 2022-03-27T02:12:22Z
dc.date.available 2022-03-27T02:12:22Z
dc.date.issued 2021-01-01
dc.description.abstract Based on the premise of Market-focused Human Resource Management we propose that organizations should attend to employee voice. To this end, online reviews have emerged as a significant source of key information. We performed our analysis on (n = 2751) Glassdoor reviews of 22 hotel chains in India. We employed text mining tools to identify determinants of employee motivation and dissatisfaction. Organizational culture, career growth opportunities, and flexibility-motivated employees. Poor work–life balance, office politics, and high attrition rate de-incentivized employees. Further, the regression analysis of numerical ratings revealed that compensation and work–life balance are hygiene factors; career opportunities and cultural values emerged as dominant predictors of overall employee satisfaction. Practical, policy, and theoretical implications of these findings are discussed.
dc.identifier.citation Anatolia. v.32(2)
dc.identifier.issn 13032917
dc.identifier.uri 10.1080/13032917.2020.1856157
dc.identifier.uri https://www.tandfonline.com/doi/full/10.1080/13032917.2020.1856157
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/4980
dc.subject analytics
dc.subject Employee satisfaction
dc.subject Glassdoor
dc.subject hotel chains
dc.subject India
dc.subject work culture
dc.title A text mining analysis of online reviews of Indian hotel employees
dc.type Journal. Article
dspace.entity.type
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