Artificial intelligence techniques in human resource management / edited by Soumi Ghosh, Soumi Majumder, Santosh Kumar Das.
| Other author | Birdie, Arvind K. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Palm Bay, FL : Apple Academic Press, 2024. |
| Description | xxiv, 256 pages : illustrations (some color) ; 25 cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | 21st century business management |
| Abstract | "This new volume presents a range of techniques aimed to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses as examples from several types of problems and includes their possible solutions using advanced AI technology. The volume explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning (ERP) management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemic-related chapter discusses the use of radio frequency (RF) based technology for monitoring social distance. Artificial Intelligence Techniques in Human Resource Management will help HRM professionals keep abreast of today's smart technological solutions and will provide valuable information for academicians and researchers on the diverse application of AI in business and management"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023002612 |
| ISBN | 9781774911686 (hbk) |
| ISBN | 9781774911693 (pbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |