Call for Chapters: Strengthening Human Relations in Organizations With AI

Editors

Ezaz Ahmed, Charles Sturt University, Australia
Abdul Babar, Western Sydney University, Australia
Ataus Samad, Western Sydney University, Australia
Rubina Ahmed, Charles Sturt University, Australia
Ghassan Beydoun, University Technology Sydney, Australia

Call for Chapters

Proposals Submission Deadline: June 2, 2024
Full Chapters Due: September 15, 2024
Submission Date: September 15, 2024

Introduction

Adoption of artificial intelligence (AI) and its impact on organisations and societies around the world is enormous. The growth in AI adoption rate is across industries around the world and approx. 34% organisations are using whereas 42% organisations are exploring AI for their business operations. However, AI adoption rate varies across geographies, industries, and organisations. Larger organisations are highly likely to have actively deployed AI in their business operations, compared to smaller organisations which are either exploring or not considering AI at all at this stage. A major driver of AI adoption is accessibility which is making the implementation of AI in organisations easier. Most of the companies are exploring or deploying AI to automate but what exactly needs to be automated is different from industry to industry. Therefore, organisations are actively investing and following are the dominant investment areas: research and development, embedding AI into existing software and processes, reskilling, and workforce development, developing proprietary solutions, off-the-shelf AI solutions and tools for the development of their own applications and models. Larger organisations are investing more into embedding AI into their existing applications and processes whereas smaller organisations are mostly investing in research and development.

Objective

The objective of this book is to identify critical aspects of human relationship at work and how AI can help strengthen the relations among the workers at various levels including senior management level. It will particularly focus on communication among the workers which can help workers to become more productive.

Target Audience

Target audience of this book are leaders, managers, executives of organisations who are keen to develop a holistic picture of the AI adoption situation. It is vital for academicians, researchers, and students from all disciplines, to learn and teach future technology and prepare graduates for seamless transition into working environment. In addition, investors, economic analysts, policymakers, human resource managers, and other industry professionals eager to develop understanding on most recent deployment of AI projects and to adopt the ideas into their practice.

Recommended Topics

The following are the potential topics of the book. 1. Historical overview of the evolution of AI technology 2. AI In Organisational Context 2.1 AI in financial sector 2.2 AI in healthcare 2.3 AI in education 2.4 AI in service and retail sector 2.5 AI in supply chain 2.6 AI in building and construction industry 2.7 AI in engineering/aerospace industry 2.8 AI in decision making /leadership 3. AI in the society. 3.1 AI and the social media 3.2 AI shaping human relations 3.3 AI and work-life balance 3.4 Impact of AI on people’s wellbeing 3.5 AI and data security/ cybersecurity/ privacy issue 4. Future of AI 5. Problems and prospects of AI

Submission Procedure

Researchers and practitioners are invited to submit on or before June 2, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 16, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by September 15, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Strengthening Human Relations in Organizations With AI. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

June 2, 2024: Proposal Submission Deadline
June 16, 2024: Notification of Acceptance
September 15, 2024: Full Chapter Submission
November 17, 2024: Review Results Returned
December 29, 2024: Final Acceptance Notification
January 12, 2025: Final Chapter Submission



Inquiries

Ezaz Ahmed, Charles Sturt University, Australia
Abdul Babar, Western Sydney University, Australia
Ataus Samad, Western Sydney University, Australia
Rubina Ahmed, Charles Sturt University, Australia
Ghassan Beydoun, University Technology Sydney, Australia

Classifications


Business and Management; Computer Science and Information Technology; Education; Medical, Healthcare, and Life Sciences; Media and Communications; Security and Forensics; Government and Law; Social Sciences and Humanities; Science and Engineering
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