Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/590042
Title: Impact of Green HRM Practices on Employee Engagement and their Performance An Study of Hospitality Sector with Special Reference to Dehradun District
Researcher: Deepika
Guide(s): Mukesh Parashar
Keywords: Hospitality Leisure Sport and Tourism
Social Sciences
Social Sciences General
University: Noida International University
Completed Date: 2024
Abstract: newline KEYWORDS: Green HRM, Hospitality Sector, Reliability, Regression, Employee Engagement and CFA newlineThe most significant trend for every forward-thinking firm is GHRM. Due to the larger competitive advantage that green HRM offers, organizations are more aware of its importance. GHRM is a perplexing component of firms that are forward-thinking since many of them are concentrating on and assessing how management practices might be incorporated into the environment. The goal of GHRM is to assist organizations in putting environmental agendas into action. By developing an HR platform where the workforce experiences high HR results and is better involved in the companies and its workers, GHRM is therefore turning into an active participant in accomplishing goals and objectives. newlineThe study aimed the following objectives kept in mind: 1) To conduct research on the level of awareness of GHRM techniques among personnel working in the hospitality industry, with a particular focus on the Dehradun district. 2) To investigate the influence that GHRM practices have on the behavior of employers in the hospitality industry, with a particular focus on the Dehradun district 3) To study Employees Engagement in Hospitality Sector with Special Reference to Dehradun District. 4) The purpose of this research is to investigate the interrelationships between GHRM techniques, employee engagement, employee behavior, and employee performance in the hotel industry, with a particular focus on the Dehradun district. newlineThe study was executed in two phases, viz., the pilot survey phase and survey phase. The response rate for the last phase of research was very good. Several data analysis techniques have been used. These include factor analysis for testing uni-dimensionality; confirmatory factor analysis for validity testing, multiple regression analysis and Structural Equation Modeling (SEM) have been used to test the hypotheses. newlineAt the end, the proposed model was surveyed using both fundamental condition illustrating (SEM) and substantia
Pagination: 
URI: http://hdl.handle.net/10603/590042
Appears in Departments:School of Business Management

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01__title.pdfAttached File126.32 kBAdobe PDFView/Open
02__preliminary pages.pdf166.38 kBAdobe PDFView/Open
03__contents.pdf87.99 kBAdobe PDFView/Open
04__abstract.pdf34.81 kBAdobe PDFView/Open
05__chapter1.pdf183.33 kBAdobe PDFView/Open
06__chapter2.pdf108.13 kBAdobe PDFView/Open
07__chapter3.pdf564.76 kBAdobe PDFView/Open
08__chapter4.pdf254.65 kBAdobe PDFView/Open
09__chapter5.pdf214.71 kBAdobe PDFView/Open
10__chapter6.pdf300.63 kBAdobe PDFView/Open
13__annexures.pdf1.62 MBAdobe PDFView/Open
80_recommendation.pdf205.82 kBAdobe PDFView/Open
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