815 research outputs found
Global work arrangements and outsourcing in the age of AI
No full textThe rise of AI has reshaped outsourcing and work arrangements in global businesses, transforming how businesses operate and allocate tasks across borders. The use of AI in automation and intelligent workflow management, which enables companies to streamline operations, reduces costs and enhances productivity. While outsourcing has long been a strategy for optimizing labor costs and accessing specialized talent, AI further revolutionizes this landscape by automating routine tasks and augmenting human capabilities. Further exploration may reveal new applications of intelligent technology in the global workforce.
Global Work Arrangements and Outsourcing in the Age of AI explores the transformations of global business and workplace environments. It delves into the roles of technology, environmental considerations, mental health, regulatory frameworks, and corporate social responsibility in shaping the future of work, providing an understanding on how work models can adapt to meet development goals. This book covers topics such as resource AI, global development, and sustainability, and is a useful resource for academics, policymakers, business owners, and environmental scientists
First person – Shweta Yadav
No full textABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Shweta Yadav is the first author on ‘RDGBα localization and function at membrane contact sites is regulated by FFAT–VAP interactions’, published in Journal of Cell Science. Shweta is a post-doctoral associate in the laboratory of Prof. Juan Botas at Baylor College of Medicine, Texas, USA, investigating neurodegenerative diseases.</jats:p
AI and Emotional Intelligence in Project Management : managing hybrid teams in a tech-driven environment
No full textThe rise of hybrid work models has transformed project management, requiring leaders to balance technological advancements with emotional intelligence (EI) to maintain team cohesion, morale, and productivity. This chapter explores the intersection of artificial intelligence (AI) and EI in project management, focusing on how AI-driven tools can enhance team dynamics, sentiment analysis, and conflict resolution in distributed work environments. While AI can offer valuable insights into employee well-being and collaboration patterns, it cannot fully replace the human touch in leadership. Through case studies and real-world applications, this chapter highlights how project managers can integrate AI-powered analytics with EI-driven decision-making to foster trust, engagement, and high performance in hybrid teams. Additionally, ethical considerations and the future of AI-augmented leadership are explored, offering practical strategies for navigating the evolving role of technology in project environments while preserving human connection and empathy
The Future of Work and Outsourcing : emerging trends and predictions
No full textThe future of work and outsourcing is shaped by technological advancements, globalization, and evolving labor models. Automation, artificial intelligence, and remote work are driving a shift from cost-focused outsourcing to strategic partnerships emphasizing innovation and agility. The gig economy and global talent pools are transforming traditional employment, while data privacy, ethical labor practices, and workforce development remain critical challenges. By embracing flexible work models, lifelong learning, and sustainable practices, organizations can leverage outsourcing for competitiveness and resilience in a rapidly evolving global landscape
Policy and regulatory frameworks for AI and global work : navigating the challenges
No full textThis chapter explores the policy and regulatory frameworks necessary for managing the impact of artificial intelligence (AI) on the global workforce. As AI technologies reshape industries, they present both opportunities and challenges, including labor displacement, ethical dilemmas, and regulatory fragmentation. The chapter examines the role of AI in transforming global work, highlighting key challenges such as fairness, transparency, and accountability in AI systems. It discusses policy frameworks from different global perspectives and the need for international collaboration to harmonize AI regulations. Furthermore, the chapter emphasizes the importance of human-centric AI policies that prioritize worker protection, ethical development, and equitable access. Key recommendations include investing in reskilling, establishing social safety nets, and fostering global cooperation to create a sustainable and inclusive future of work. This comprehensive approach aims to ensure that AI benefits workers and society, while mitigating potential risks
The Role of Small and Medium-Sized Enterprises (SMEs) in the AI-Driven Outsourcing Landscape
No full textThis chapter explores the role of small and medium-sized enterprises (SMEs) in the evolving AI-driven outsourcing landscape. As artificial intelligence (AI) increasingly transforms business models, SMEs face both challenges and opportunities in integrating AI into their outsourcing strategies. By leveraging AI technologies, SMEs can streamline operations, reduce costs, and enhance customer experiences, positioning themselves to compete globally. However, SMEs must address challenges such as limited resources, skills gaps, data privacy concerns, and the need for continuous innovation. Strategic approaches such as collaboration with AI providers, adopting scalable solutions, and focusing on workforce upskilling are essential for SMEs to succeed. The chapter also discusses the social, practical, and theoretical implications of AI in outsourcing, highlighting the potential for job displacement and the need for adaptive strategies. Ultimately, SMEs that effectively harness AI will thrive in a competitive, AI-driven outsourcing ecosyste
Role of Artificial Intelligence in Enhancing Employee Well-Being at the Workplace
No full textThe whole world is rushing towards Artificial Intelligence; it has revamped every dimension of our lives. Now, various companies are utilizing AI to improve employee well-being. This chapter is an attempt to understand the role of AI in enhancing employee well-being at the workplace. It examines AI-driven solutions for monitoring employee engagement, stress levels, and overall job satisfaction. AI-powered tools, such as mental health chatbots, predictive burnout models, and personalized wellness programs, contribute significantly to workplace efficiency and employee retention. However, the integration of AI into well-being initiatives also raises ethical concerns regarding data privacy, algorithmic bias, and employee trust. This study emphasizes the need for a human-centered approach that balances AI automation with personal interaction. By ensuring transparency, regulatory compliance, and ethical implementation, organizations can successfully leverage AI to foster a healthier, more engaged, and productive workforce
The hired farm labor market: some recent evidence from Oregon
Get PDFT.M. Hammonds, R. Yadav, and C. Vathana.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 22-23).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
“Discovery of the Wave-Edge Rectangle (WER) and its Area Formula”
No full textTitle: The Wave-Edge Rectangle (WER): A Newly Identified Geometric Structure and Its Area Formula
Author: Yadvendra Singh Yadav
Date: 2 December 2025
Summary:
I discovered a new geometric shape called the Wave-Edge Rectangle (WER), formed by replacing all four straight sides of a rectangle with equal semicircular arcs. I derived a general area formula:
=2(4+(+)
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