Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/589209
Title: Study of Effectiveness of Big Data Analytics Tools in the transformation of Talent Management in Service and Manufacturing Industry
Researcher: Parmar, Geetika
Guide(s): Vidyasagar, T.J.
Keywords: Big Data Analytics (BDA), Talent Management, Performance Management, Service Sector, Manufacturing Sector, HR Analytics,Predictive Decision-Making, Human Resources Management (HRM), Data-Driven HR, Business Analytics (BA), BDA Tools, Data-driven decision making, Data warehouse, BDA Quality, BBDA Effectiveness
Economics and Business
Management
Social Sciences
University: Dr. Vishwanath Karad MIT World Peace University
Completed Date: 2024
Abstract: Our environments are changing as a result of the rapid integration of improvements in data and information processing with advancements in human resources management (HRM). The huge amount of data Human resources management department, when viewed as a data and analytical thinking-centred approach, is quickly taking centre stage in organisational structures. The current research examines the body of research in HR analytics and its implications for organisational predictive decision-making. And this is where Big Data steps in. Though the concept of HR analytics seems very promising at first instance but the actual challenge of translation of idea into practice is on surface (Angrave, Charlwood, Kirkpatrick, Lawrence, and Stuart, 2016). Hence, the future of HR lies on the shoulders of analytics. The researcher will explore the areas where this technology can be helpful in decision making. newline
Pagination: 
URI: http://hdl.handle.net/10603/589209
Appears in Departments:School of Management

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01_title.pdfAttached File68.38 kBAdobe PDFView/Open
02_prelim pages.pdf1.27 MBAdobe PDFView/Open
03_content.pdf193.79 kBAdobe PDFView/Open
04_abstract.pdf19.94 kBAdobe PDFView/Open
05_chapter 1.pdf285.19 kBAdobe PDFView/Open
06_chapter 2.pdf428.04 kBAdobe PDFView/Open
07_ chapter 3.pdf907.06 kBAdobe PDFView/Open
08_ chapter 4.pdf2.72 MBAdobe PDFView/Open
09_chapter 5.pdf205.78 kBAdobe PDFView/Open
10_chapter 6.pdf40.21 kBAdobe PDFView/Open
11_chapter 7.pdf100.73 kBAdobe PDFView/Open
12_chapter 8.pdf87.43 kBAdobe PDFView/Open
14_annexures.pdf197.31 kBAdobe PDFView/Open
80_recommendation.pdf254.68 kBAdobe PDFView/Open
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