Workforce Forecasting Using Artificial Intelligence

Title

Workforce Forecasting Using Artificial Intelligence

Creator

Joseph A.; Johnson A.; Cheriyan A.

Description

Workforce forecasting predicts an organizations future demand and supply of the workforce. Each organization has its strategies to manage and track the appropriate workforce. The adequate forecasting technique for the workforce involves data analysis and pattern mining from various data points. Some of the critical attributes considered for the analysis and the forecasting of the workforce requirement include the data such as demographics, economic trends, and labor market conditions; these help in calculating informed predictions about future workforce requirements [1,2]. The primary aim of workforce forecasting is to ensure that an organization has suitable employees with the appropriate skills to meet its business needs by helping organizations make informed decisions about staffing levels, employee training, and other workforce management strategies. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.

Source

Artificial Intelligence in Forecasting: Tools and Techniques, pp. 146-172.

Date

2024-01-01

Publisher

CRC Press

Coverage

Joseph A., Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, Pune, India; Johnson A., Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, Pune, India; Cheriyan A., School of Business and Management (BBA), CHRIST (Deemed to be University), Lavasa Campus, Pune, India

Rights

Restricted Access

Relation

ISBN: 978-104005150-4; 978-103250615-9

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003399292-11

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195899215&doi=10.1201%2f9781003399292-11&partnerID=40&md5=202d46f7cb8ee259f765c6ce4c609818