Unlocking human potential in the AI Age: how employee-AI collaboration transforms work engagement through dual psychological pathways
What makes working alongside AI feel like meaningful collaboration?
Parenting Journal · Work & family · Volume 1 · Issue 3
Human Values at Work
One hundred readings on work, care and organizational life. Direct working-family evidence and broader workplace evidence are labeled separately.
100 articles · Page 4 of 5
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From Synergy to Strain: Exploring the Psychological Mechanisms Linking Employee–AI Collaboration and Knowledge Hiding
Will working with AI make colleagues share knowledge or hold it back?
Knowledge Sharing in AI-Enabled Workplaces: A Social Cognitive Perspective on Usefulness Perceptions and Competition
Can a team share what it learns about AI without turning learning into a competition?
Transformational leadership and employee AI usage: the role of perceived organizational support and competitive workplace climate
How can leaders support shared AI learning without adding pressure to compete?
Enhancing sustainable innovation in AI companies: the role of perceived organizational support, job satisfaction, and job embeddedness
Does support feel different in a small AI company and a large one?
Impact of Job Demands on Employee Learning: The Moderating Role of Human–Machine Cooperation Relationship
How can cooperation with machines leave room for people to learn?
How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
What helps a team share knowledge when AI changes how work gets done?
The impact of generative artificial intelligence (GenAI) usage patterns on employee creativity
Can a team use AI to explore new ideas without losing the knowledge needed to judge them?
How challenge stressors affect deviant innovation behavior among Chinese frontline textile workers in the age of artificial intelligence
How can frontline workers help shape the machines they are expected to work with?
Encourage or Reject Employee Involvement: Value Creation in Human Resource Management in the AI Era—An Evolutionary Game Analysis of Enterprises and Employees
Who shares the benefits when employers and employees create value with AI?
The effects of newcomers' AI use on organizational identification: the mediating role of newcomer adjustment
How can a new colleague use AI and still find a human place in the team?
Artificial Intelligence and Employee Innovation: A Literature Review
Can collaborating with AI expand ideas without making everyone’s work look alike?
Dual pathways of generative AI use: role ambiguity and self-efficacy in employee-AI collaboration
Who is responsible for which decisions when a person and AI work together?
Employee–AI collaboration empowers mentor networks to enhance employee creativity: a knowledge-management perspective
What can a human mentor still teach when AI can answer many questions?
Explainable AI improves task performance in human–AI collaboration
Can an AI explanation help an expert know when to disagree with it?
How does human-AI collaboration task complexity affect employee work engagement? The roles of humble leadership and AI self-efficacy
How can a team make learning to work with AI feel manageable?
The Job Perception Inventory: considering human factors and needs in the design of human–AI work
What should employees be asked before AI changes the way their job feels?
Organizational value realization from AI-enabled digital health technologies in long-term care: roles of human–AI collaboration and digital literacy
How can care teams make AI useful without losing sight of the people doing the caring?
Effects of human–machine interaction on employee’s learning: A contingent perspective
How can teamwork with intelligent machines develop people’s skills instead of bypassing them?
Different types of human–AI interaction and employees’ knowledge territorial behavior: the role of organizational dehumanization and paradoxical leadership
How can AI collaboration avoid making colleagues feel replaceable or defensive?
Study designs and age labels describe the source. Read each study’s findings and limitations before applying them to your family.