Analysis of Data on Employee Performance and Resignation

Analysis of Data on Employee Performance and Resignation

Registration ID: IJNRD_198439

Published ID: IJNRDTH00048

DOI: Click Here to Get

Remin Devasia Josi

Data analysis, Statistics, Machine learning, Python, Vizualisation

Employability satisfaction have been susceptible in increased risk and challenges in the highly vulnerable and ambiguous business environment where string employee relation management is at stage with poor connectivity thereby leading to poor decision-making within the organisation. Insufficiency in time in managing the replacement of personnel and lack of effective learning and investment in human resource management process may result in poor employability that will result in higher level of dissatisfaction within the organisation. Employee resignation is increasing which in accelerating the burden and cost of companies. Quality acceleration of employees has direct positive impact, but effective business continuity and strategic growth requires motivation and employee retention strategy helping in reduction if the detrimental impact of high rate of attrition and employee turnover.

Published Paper   E-Certificate

"Analysis of Data on Employee Performance and Resignation", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 6, page no.701-735, June-2023, Available :https://ijnrd.org/papers/IJNRDTH00048.pdf

Volume 8 Issue 6, June-2023

Pages : 701-735

Paper Reg. ID: IJNRD_198439

Published Paper Id: IJNRDTH00048

Downloads: 000121167

Research Area: Applied Mathematics

Country: Trivandrum, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00048.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00048

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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