Empirical Study of Service Sector Employee¿s - Singh, Neha;Brahmbhatt, Mamta
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This book provides an empirical understanding of the data analysis carried out to understand the impact of work life balance on turnover intention of the employees. It includes detailed data analysis on the primary data collected via employee survey across five major service sector companies. Data of more than 700 employees from these sectors was analyzed using various statistical tests and tools. ANOVA, Independent t test and multiple regression tests are the various tests used for this study and a detailed account of findings of these tests is mentioned along with sector wise analysis for…mehr

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Produktbeschreibung
This book provides an empirical understanding of the data analysis carried out to understand the impact of work life balance on turnover intention of the employees. It includes detailed data analysis on the primary data collected via employee survey across five major service sector companies. Data of more than 700 employees from these sectors was analyzed using various statistical tests and tools. ANOVA, Independent t test and multiple regression tests are the various tests used for this study and a detailed account of findings of these tests is mentioned along with sector wise analysis for deep research insight and cross-sector comparative analysis. Important findings and results for managers and policy makers have also been mentioned. Various recommendations given by employees are also enlisted in the form of a Work Cloud. This book is useful for Management Students, PhD scholars, academicians and Organizations as this book provides valuable insight in the areas of Work Life balance and Turnover Intention along with important findings across sectors and actual employee recommendations.
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Autorenporträt
Neha Singh sta svolgendo il dottorato di ricerca in Estensione delle Scienze Domestiche e Gestione della Comunicazione presso il College of Home Science, SKRAU Bikaner (Rajasthan). È titolare di ICAR-JRF (2014-16) e ICAR-SRF (2016-19). Si è qualificata UGC-NET (2016) in Home Science e ASRB-NET (2016) in Agriculture Extension e ha pubblicato cinque articoli di ricerca in diverse riviste.