Nature-Inspired Optimisation-Based Regression Based Regression to Study the Scope of Professional Growth in Small and Medium Enterprises

Authors

  • Manjula Pattnaik Associate Professor, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, KSA.
  • M. Sunil Kumar Professor & Programme Head, Department of Computer Science and Engineering, School of Computing, Mohan Babu University (erstwhile Sree Vidyanikethan Engineering College), Tirupathi, AP, India.
  • S. Selvakanmani Associate Professor, Department of Information Technology, RMK Engineering College, RSM Nagar, Chennai, Tamil Nadu, India.
  • Kaniphnath Malhari Kudale Assistant Professor (Adhoc), Department of Humanities and Social Sciences (H & SS), National Institute of Technology, Warangal , Telangana , India.
  • Kumarasamy M. Assistant Professor, Department of Computer Science, College of Engineering and Technology, Wollega University, Nekemte, Oromia Region, Ethiopia.
  • B. Girimurugan Assistant Professor, KL Business School, Koneru Lakshmaiah Education foundation (Deemed to be University), Andhra Pradesh, India.

Keywords:

Manufacturing firms, Industrial Revolution, organizational structure, management

Abstract

Manufacturing firms are currently during the Fourth Industrial Revolution, which is in the process of progressing, and as a result, they are facing new issues related to technology, organizational structure, and management. It is anticipated that considerable shifts in the workplace will take place as a direct result of the reengineering of the currently utilized processes and the implementation of the latest technological developments. As a direct result of this, workers will have to update their skill sets to be suitable for the production methods that will be utilized in the future. It is anticipated that workflows will become more open, decentralized, and less hierarchical soon. This will make it possible for employees to have more freedom regarding their timing and location in the office. This is what should be expected. Even if it is difficult to correctly foresee the effects of the digital disruption, it is becoming increasingly clear that workers in some nations are less prepared than those in other nations. In this paper, we develop a nature-inspired optimisation-based regression to study the scope of professional growth in small and medium enterprises.

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Published

13.02.2023

How to Cite

Pattnaik, M. ., Sunil Kumar, M. ., Selvakanmani, S. ., Kudale, K. M. ., M., K. ., & Girimurugan, B. . (2023). Nature-Inspired Optimisation-Based Regression Based Regression to Study the Scope of Professional Growth in Small and Medium Enterprises. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 100–108. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2576

Issue

Vol. 11 No. 4s (2023)

Section

Research Article

License

Copyright (c) 2023 Manjula Pattnaik, M. Sunil Kumar, S. Selvakanmani, Kaniphnath Malhari Kudale, Kumarasamy M., B. Girimurugan

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