가야대학교 분성도서관

상단 글로벌/추가 메뉴

회원 로그인


자료검색

자료검색

상세정보

부가기능

Artificial intelligence techniques in human resource management /

상세 프로파일

상세정보
자료유형E-Book
개인저자Ghosh, Soumi, editor.
Majumder, Soumi, editor.
Das, Santosh Kumar, (Professor of computer science), editor.
서명/저자사항Artificial intelligence techniques in human resource management /edited by Soumi Ghosh, Soumi Majumder, Santosh Kumar Das.
판사항First edition.
발행예정일자202302
형태사항1 online resource.
총서사항21st century business management
소장본 주기OCLC control number change
ISBN9781003328346
1003328342
9781000730081
1000730085
9781000729603
1000729605


기타표준부호10.1201/9781003328346doi
서지주기Includes bibliographical references and index.
내용주기A Brief Introduction to Human Resource Management / Soumi Majumder, Soumi Ghosh, and Zdzislaw Polkowski -- An Empirical Study on Adoption of Artificial Intelligence in Human Resource Management / Soumi Ghosh, Soumi Majumder, and Sheng-Lung Peng -- The Confluence of Smart Computing and Traditional Businesses to Foster Productivity, Profitability, and Prosperity / Sumit Gupta and Sourav Biswas -- Application of Artificial Intelligence in the Recruitment Process of HRM / Ramesh Chandra Goswam, Hiren Joshi, and Sunil Gautam -- Applications of the Internet of Robotic Things in Industry 4.0 based on Several Aspects / Garima Jain, Ankush Jain, and Divya Mishra -- Fabric Defect Detection and Fault Identification of a Fabric Video for the Purpose of ERP in Industry 4.0: An Image Processing Techniques / Manali Sarkar and Sraddha Roy Choudhury -- An RF-Based Social Distance Smart Band System in Organization / Ranjit Kumar Behera, Mohit Misra, and Amrut Patro -- Manpower Optimization System in College: A Linear Programming Approach / Santosh Kumar Das, Bikram Mahapatra, D. Hema Kumar, Manoj Kumar Mandal, and Joydev Ghosh -- Homogenization in Technique of Artificial Intelligence in Human Resource Management / Kaushal Singh, Mrudul Bhatt, and Sunil Gautam -- Conflicting Strategy Management Technique for Companies: An Intelligent Optimization Technique / Santosh Kumar Das, Kimmi Kumari, Sagarika Daripa, Amit Kumar Singh, and Aditya Sharma.
요약"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."--
일반주제명Personnel management -- Data processing.
Artificial intelligence.
BUSINESS & ECONOMICS / Human Resources & Personnel Management
COMPUTERS / Artificial Intelligence
Artificial intelligence.
Personnel management -- Data processing.
언어영어
기타형태 저록Print version:Artificial intelligence techniques in human resource management.First edition.Palm Bay, FL, USA ; Burlington, ON, Canada : Apple Academic Press ; Boca Raton, FL, USA ; Abingdon, Oxon, UK : CRC Press, 2023177491168X9781774911686
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3619659

소장정보

  • 소장정보

인쇄 인쇄

메세지가 없습니다
No. 등록번호 청구기호 소장처 도서상태 반납예정일 예약 서비스 매체정보
1 WE00023798 658.300285 가야대학교/전자책서버(컴퓨터서버)/ 대출가능 인쇄 이미지  

서평

  • 서평

태그

  • 태그

나의 태그

나의 태그 (0)

모든 이용자 태그

모든 이용자 태그 (0) 태그 목록형 보기 태그 구름형 보기
 

퀵메뉴

대출현황/연장
예약현황조회/취소
자료구입신청
상호대차
FAQ
교외접속
사서에게 물어보세요
메뉴추가
quickBottom

카피라이터

  • 개인정보보호방침
  • 이메일무단수집거부

김해캠퍼스 | 621-748 | 경남 김해시 삼계로 208 | TEL:055-330-1033 | FAX:055-330-1032
			Copyright 2012 by kaya university Bunsung library All rights reserved.