rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: DESIGNING WORKFORCE MANAGEMENT SYSTEMS FOR INDUSTRY 4.0
    sub title: DATA-CENTRIC AND AI-ENABLED APPROACHES
  name:
    name part: Khang, Alex
    role:
      role term: editor.
  name:
    name part: Rani, Sita
    role:
      role term: editor.
  name:
    name part: Gujrati, Rashmi
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    place:
      place term: BOCA RATON
    publisher: CRC PRESS
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.
  table of contents: 1. Workforce Management System: Concepts, Definitions, Principles, and Implementation. Snehal Maheshkar, Babasaheb Jadhav, Alex Khang 2. Industry Revolution 4.0: Workforce Competency Models and Designs. Alex Khang, Babasaheb Jadhav, Sphurti Birajdar 3. AI Powered Workforce Management in Industry 4.0 Era. Lokpriya Gaikwad, Alex Khang 4. AI-based Competency Model and Design in the Workforce Development System. Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak 5. Data: An Anchor for Decision Making to Build the Future Workforce Management System. Samiksha Shukla, Aerica Rishiraj, Yash Lucas 6. Data Mining Processes and Decision-Making Models in Personnel Management System. Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak 7. Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining. Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani 8. ata-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System. Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak 9. Impact of Artificial Intelligence (AI) on Talent Management (TM): A Futuristic Overview. Arpita Nayak, Ipseeta Satpathy, B.C.M. Patnaik, Sukanta Kumar Baral, Alex Khang 10. Data-driven Artificial intelligence (AI) Models in the Workforce Development Planning. Pallavi Jain, Vandana Tripathi, Ravisankar Malladi, Alex Khang 11. Prediction of Employee's Performance Using Machine Learning (ML) Techniques. Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta 12. AI-enabled Approaches and Models for Designing Workforce through Training Systems for Physically Challenged People. Babasaheb Jadhav, Ashish Kulkarni, Pooja Kulkarni 13. Relevance Analytics of Work Motivation and Job Satisfaction in the era of Industry 4.0. Mohammad Qais Rezvani, Hayri Uygun, Rashmi Gujrati, Shivangi Singh, Nirmala Chaudhary 14. A Bibliometric Analysis on Application of Artificial Intelligence (AI) i…
  note: Dr. Alex Khang, is a professor in information technology at the Universities of Science and Technology in Vietnam, India, and United States; AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and USA. He has been the chair session for 20 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 over seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 PhD. theses in computer science field. He has been contributing to various research activities in fields of AI and data science while publishing many international articles in renowned journals and conference proceedings. He has published 52 authored books (in computer science between 2000-2010), 2 authored books (software development), 10 book chapters, 4 edited books, and 8 edited books (calling for book chapters) in the fields of AI ecosystem (AI, ML, DL, robotics, data science, big data, and IoT), smart city ecosystem, healthcare ecosystem, fintech technology, and blockchain technology (since 2020). He has over 28 years of nonstop work as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, for…
  note: He is currently working as a reviewer in various international journals like BJIT and many more. He has published many Indian and Australian patents in the fields of information technology, computer science and management.
  note: Includes bibliographical references and index.
  subject:
    topic: Personnel management
    topic: Technological innovations
  subject:
    topic: Artificial intelligence
  subject:
    topic: Management
    topic: Data processing
  subject:
    topic: Personnel
    topic: Direction
    topic: Innovations
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Gestion
    topic: Informatique
  subject:
    topic: artificial intelligence
  subject:
    topic: BUSINESS & ECONOMICS / Human Resources & Personnel Management
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Management
    topic: Data processing
  subject:
    topic: Personnel management
    topic: Technological innovations
  classification: HF5549.5.T33
  classification: 352.6
  identifier: 1000923363
  identifier: 9781000923360
  identifier: 9781003357070
  identifier: 1003357075
  identifier: 1000923347
  identifier: 9781000923346
  identifier: 9781003357070 Taylor & Francis
  identifier: 9781000923360 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://go.oreilly.com/TAMU/library/view/-/9781000923360/
  record info:
    record content source: YDX
    record creation date: 230829
    record change date: 20241108165506.1
    record identifier: in00005520289
    language of cataloging:
      language term: eng