Effects of Artificial Intelligence Innovation in Business Process Automation on Employee Retention

Authors:
Angela Mae A. Rallang, Brener M. Manalang, Grejane C. Sanchez

Addresses:
1,2,3Department of Business Administration, University of the East-Graduate School Sampaloc, Manila, Philippines. rallang.angelamae@ue.edu.ph1, manalang.brener@ue.edu.ph2, sanchez.grejane@ue.edu.ph3

Abstract:

In the aftermath of the Great Resignation, administrators view automation as a remedy for the mass exodus of workers. Every aspect of business operations is infused with automated technology. Rapidly, it has emerged as a saviour for companies struggling to retain employees. Progress in science and technology is inevitable. Business process automation is a prevalent tool that most progressive businesses adopt to maintain pace with the Artificial Intelligence era. Digitalization and automation of business processes are now indispensable elements of contemporary business practice. From this perspective, this paper aims to assess the impact of artificial intelligence innovation in business process automation on employee retention. The analysis of the impact of business process automation on employee retention is insightful as this study discusses the advantages and disadvantages of business process automation to the most important asset of every company, which is human resources. The result of this study is that human resources are crucial and irreplaceable in every aspect of service operations. The findings recommend that organizations mitigate the potential negative effects of AI implementation by providing training and skill development programs, reassessing job roles, and promoting a positive perception of AI. Addressing employee well-being and offering social support can also enhance retention rates during the AI adoption process.

Keywords: Business Process Automation; Robotic Process Automation; Service Operations; Employee Retention; Artificial Intelligence (AI); Innovation in Business; Technological Advancements; Automation of Intelligence.

Received on: 15/10/2022, Revised on: 17/01/2023, Accepted on: 02/04/2023, Published on: 06/12/2023

FMDB Transactions on Sustainable Technoprise Letters, 2023 Vol. 1 No. 2, Pages: 61-69

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