IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

HR Management Reform Mediation in the Civil Service Operation's Effect on Decision-Making Effectiveness

HR Management Reform Mediation in the Civil Service Operation's Effect on Decision-Making Effectiveness
View Sample PDF
Author(s): Shashi Kant (DMI-St. Eugene University, Lusaka, Zambia)and Rituraj Singh (O.P. Jindal Global University, India)
Copyright: 2026
Pages: 20
Source title: Legal Frameworks of Human Resource Management Reform
Source Author(s)/Editor(s): Perfecto Gatbonton Aquino, Jr. (Duy Tan University, Vietnam), Mercia Selva Malar Justin (Christian Management Institute, India)and Revenio Cabanilla Jalagat, Jr. (Al Zahra College for Women, Oman)
DOI: 10.4018/979-8-3693-5390-5.ch011

Purchase

View HR Management Reform Mediation in the Civil Service Operation's Effect on Decision-Making Effectiveness on the publisher's website for pricing and purchasing information.

Abstract

This research discusses the function of HR management reform as a mediating variable in the operations of civil service by analysing its impact on the effectiveness of decision making process in community based administration as a whole. It particularly explores how Reforms in HRM, related with strategic use of IT capabilities and adoption of AI based outcomes, to deliver a more flexible as well as efficient civil service workforce that would be able to solve complex community based problems. The infoldment goes along with into how AI-powered tools can delineate HR processes related with recruitment as well as sustainability appraisal to augment organisational efficiency as well as sustainability in community based sector entities. As well as, the along with of AI, within HRM through management information operations, optimises the decision-making process by making operations more precise and founded on information, leading to augmented recruitment, better long lasting operation and increased infoldment of staff.

Related Content

Ayah Abdulraheem, Mohammad Arafah. © 2026. 30 pages.
Hitesh Rawat, Anjali Rawat, Prathamesh Muzumdar, Shyam Gehlot, Chandrapal Singh Dangi. © 2026. 24 pages.
Andi Asrifan. © 2026. 38 pages.
Romil Rawat, Kuldeep Singh, A. Samson Arun Raj, Prathamesh Muzumdar, Sanjaya Kumar Sarangi, Hitesh Rawat. © 2026. 24 pages.
Nandini Bansod, Akash Mishra, Dinesh Baban Kamble, Ashutosh Shukla. © 2026. 20 pages.
Neeta Vaibhav Mhavan, Priya R. Singh. © 2026. 26 pages.
Vinod Mahor, Jaytrilok Choudhary, Dhirendra Pratap Singh. © 2026. 28 pages.
Body Bottom