Exploring the Intersection of AI and Human Resources Management

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Publisher : IGI Global
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Exploring the Intersection of AI and Human Resources Management by : Rafiq, Muhammad

Download or read book Exploring the Intersection of AI and Human Resources Management written by Rafiq, Muhammad and published by IGI Global. This book was released on 2023-12-29 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.

EXPLORING THE INTERSECTION OF AI AND HUMAN RESOURCES MANAGEMENT.

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Publisher :
ISBN 13 : 9789798369308
Total Pages : 0 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis EXPLORING THE INTERSECTION OF AI AND HUMAN RESOURCES MANAGEMENT. by : MUHAMMAD. RAFIQ

Download or read book EXPLORING THE INTERSECTION OF AI AND HUMAN RESOURCES MANAGEMENT. written by MUHAMMAD. RAFIQ and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for HR

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Publisher : Kogan Page Publishers
ISBN 13 : 1398604011
Total Pages : 273 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Artificial Intelligence for HR by : Ben Eubanks

Download or read book Artificial Intelligence for HR written by Ben Eubanks and published by Kogan Page Publishers. This book was released on 2022-01-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.

The Adoption and Effect of Artificial Intelligence on Human Resources Management

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Publisher : Emerald Group Publishing
ISBN 13 : 1804556645
Total Pages : 212 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis The Adoption and Effect of Artificial Intelligence on Human Resources Management by : Pallavi Tyagi

Download or read book The Adoption and Effect of Artificial Intelligence on Human Resources Management written by Pallavi Tyagi and published by Emerald Group Publishing. This book was released on 2023-02-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerald Studies In Finance, Insurance, And Risk Management 7B explores how AI and Automation enhance the basic functions of human resource management.

Innovative Human Resource Management for SMEs

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Publisher : IGI Global
ISBN 13 :
Total Pages : 470 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Innovative Human Resource Management for SMEs by : Iqbal, Shuja

Download or read book Innovative Human Resource Management for SMEs written by Iqbal, Shuja and published by IGI Global. This book was released on 2024-01-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative Human Resource Management for SMEs presents a comprehensive solution to the challenges faced by small and medium-sized enterprises (SMEs) in managing their human resources in today's rapidly changing business landscape. These SMEs often operate with limited resources and lack dedicated HR departments, making it difficult to compete for top talent against larger companies. Moreover, staying abreast of innovative HR practices can be overwhelming, leaving SMEs uncertain about how to enhance employee engagement, well-being, and overall organizational success. Edited by esteemed academic scholars, this book focuses on contemporary and practical strategies, empowering HR professionals, business managers, and leaders with the necessary tools to navigate the complexities of effective human capital management. By exploring key areas such as recruitment, employee engagement, performance management, well-being, and organizational transformation, the book provides actionable insights through real-world case studies. It offers valuable information to drive organizational success and foster a positive workplace culture, benefiting not only SMEs but also larger organizations seeking to optimize their HR practices. Innovative Human Resource Management for SMEs stands as a guiding beacon, empowering readers to attract, engage, and retain top talent, thus ensuring their businesses thrive in the dynamic business world of the current millennium.

Handbook of Research on Artificial Intelligence in Human Resource Management

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Publisher : Edward Elgar Publishing
ISBN 13 : 1839107537
Total Pages : 416 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Handbook of Research on Artificial Intelligence in Human Resource Management by : Strohmeier, Stefan

Download or read book Handbook of Research on Artificial Intelligence in Human Resource Management written by Strohmeier, Stefan and published by Edward Elgar Publishing. This book was released on 2022-03-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)

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Publisher : IGI Global
ISBN 13 :
Total Pages : 437 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs) by : Ponnusamy, Sivaram

Download or read book Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs) written by Ponnusamy, Sivaram and published by IGI Global. This book was released on 2024-05-16 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcending their initial role as image generators to become indispensable guardians of data security. Within the pages of Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use.

Demystifying the Dark Side of AI in Business

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Publisher : IGI Global
ISBN 13 :
Total Pages : 291 pages
Book Rating : 4.50/5 ( download)

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Book Synopsis Demystifying the Dark Side of AI in Business by : Dadwal, Sumesh

Download or read book Demystifying the Dark Side of AI in Business written by Dadwal, Sumesh and published by IGI Global. This book was released on 2024-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

The Ethical Frontier of AI and Data Analysis

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Publisher : IGI Global
ISBN 13 :
Total Pages : 475 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis The Ethical Frontier of AI and Data Analysis by : Kumar, Rajeev

Download or read book The Ethical Frontier of AI and Data Analysis written by Kumar, Rajeev and published by IGI Global. This book was released on 2024-03-04 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.

Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods

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Publisher : IGI Global
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods by : Lilhore, Umesh Kumar

Download or read book Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientistsÂ’ ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.