A text mining analysis of online reviews of Indian hotel employees

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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.

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Chittiprolu, V., Singh, S., Bellamkonda, R. S., & Vanka, S. (2021). A text mining analysis of online reviews of Indian hotel employees. Anatolia, 32(2), 232–245. https://doi.org/10.1080/13032917.2020.1856157

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