Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

Thokal, Vijay; Patil, Purushottam R.

doi:10.3390/engproc2023059234

RAiSE-2023 2024

DOI: 10.3390/engproc2023059234

|View full text |Cite

Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

Vijay Thokal,

Purushottam R. Patil

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

From Recruitment to Retention: AI Tools for Human Resource Decision-Making

Madanchian

2024

Applied Sciences

View full text Add to dashboard Cite

HR decision-making is changing as a result of artificial intelligence (AI), especially in the areas of hiring, onboarding, and retention. This study examines the use of AI tools throughout the lifecycle of an employee, emphasizing how they enhance the effectiveness, customization, and scalability of HR procedures. These solutions streamline employee setup, learning, and documentation. They range from AI-driven applicant tracking systems (ATSs) for applicant selection to AI-powered platforms for automated onboarding and individualized training. Predictive analytics also helps retention and performance monitoring plans, which lowers turnover, but issues such as bias, data privacy, and ethical problems must be carefully considered. This paper addresses the limitations and future directions of AI while examining its disruptive potential in HR.

show abstract

From Recruitment to Retention: AI Tools for Human Resource Decision-Making

Madanchian

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 11 publications

From Recruitment to Retention: AI Tools for Human Resource Decision-Making

From Recruitment to Retention: AI Tools for Human Resource Decision-Making

Contact Info

Product

Resources

About