An Impact of Employee Performance in Enterprise Turnover Using Grid Based Machine Learning Model

Authors

  • I. M. V. Krishna Assistant Professor, Department of Information Technology, Prasad v potluri Siddhartha Institute of Technology, Andhra Pradesh, India.
  • G. Kannan Associate Professor, Department of Management Studies, St. Peter's Institute of Higher Education and Research, Tamil Nadu, India.
  • N. Bindu Madhavi Associate Professor, KL Business School & Programme Coordinator (MBA), KL Centre for Distance & Online Education(CDOE) , Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India.
  • Shanthana S. Assistant Professor, Department of CSE (AI & ML), Rajalakshmi Institute of Technology, Tamil Nadu, India.
  • T. Thiruvenkadam Associate Professor, School of CS & IT, JAIN (Deemed-to-be University), Karnataka, India.
  • A. Govindarajan Assistant Professor, MEASI Institute of Management, Tamil Nadu, India.

Keywords:

employee performance, turnover, company potential, grid algorithm, company income

Abstract

The most important assets of most companies are their workers. Only with them is the value and management performance of the company calculated. And production and turnover are calculated based on their output. Therefore the performance of its employees is an important factor in evaluating a company and analyzing its potential. A grid algorithm has been designed with this in mind. Based on this, the input time of the workers employed by a company, the type of work, the one day production and the income available to the company through him are calculated. The company will then accurately calculate the following situations through machine learning algorithms that compute these data. It will also immediately calculate the nuances of dealing with employee performance deficiencies and effectively manage its data.

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References

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Published

05.12.2023

How to Cite

Krishna, I. M. V. ., Kannan, G. ., Madhavi, N. B. ., S., S. ., Thiruvenkadam, T. ., & Govindarajan, A. . (2023). An Impact of Employee Performance in Enterprise Turnover Using Grid Based Machine Learning Model. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 332–336. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4077

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

License

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