Dear colleagues,

Artificial Intelligence (AI) has become increasingly prevalent in various domains, having revolutionized the way organizations operate and individuals make decisions. As AI technologies continue to advance, it is crucial to investigate their psychological impacts on both organizational behavior and human decision processes. This special issue, accordingly, aims to shed light on the complex interplay between AI and human psychology, offering valuable insights into the consequences, challenges, and opportunities arising from the integration of the AI systems and applications in different organizational settings.

Bearing these developments and factors in mind, this special issue seeks to explore the psychological implications of AI in organizational behavior and human decision processes. To this end, our special issue aims to bring together interdisciplinary research that investigates the influence of AI on individuals, teams, and organizations, focusing on the following key objectives:

I.To understand the psychological consequences of AI adoption: exploring how the implementation of AI technologies influences employee attitudes, well-being, and job satisfaction. Investigating the psychological implications of job automation, augmentation, and AI-enabled decision-making processes on employee motivation, engagement, and overall work experiences.

II.To examine the impact of AI on human decision processes: analyzing the cognitive and behavioral effects of AI integration in decision-making contexts. Investigating how AI algorithms and automated decision support systems influence human judgment, biases, and decision-making strategies. Exploring the psychological factors that mediate or moderate the relationship between humans and AI means in the decision-making process.

III.To identify the challenges and opportunities for human-AI collaboration: exploring the dynamics of human-AI interaction and collaboration in organizations. Investigating the factors that shape trust, cooperation, and coordination between humans and AI systems. Examining the psychological barriers and enablers for effective integration of AI technologies, such as transparency, explainability, accountability, and ethics.

IV.To investigate ethical and social considerations of AI implementation: examining the psychological impacts of AI technologies on issues such as privacy, fairness, and equality. Exploring the psychological dimensions of AI bias, discrimination, and unintended consequences. Identifying strategies to address ethical challenges and mitigate potential negative psychological effects of AI implementation.

Submission Topics: Contributions are kindly invited to submit their studies on a wide range of topics related to the intersection of AI, organizational behavior, and human decision processes. 

Potential submission topics include, but are not limited to:

• Employee attitudes and well-being in the era of AI

• Psychological implications of AI-enabled job automation and augmentation

• Cognitive biases and decision-making processes in human-AI collaboration

• Trust, cooperation, and coordination in human-AI teams

• Explainability and transparency in AI decision-making processes

• Ethical considerations and psychological impacts of AI in organizations

• User experience and human-centered design in AI interfaces

• AI adoption and change management in organizations

• Leadership and managerial challenges in AI-driven environments

• Psychological impacts of AI on customer behavior and relationships

We would wish to welcome original research papers, theoretical frameworks, conceptual papers, case studies and empirical studies that address the psychological impacts of AI on organizational behavior and human decision processes. All submissions are expected to follow the related guidelines of the journal and will undergo a rigorous peer-review process to ensure the quality and relevance of the published work.

Dr. Sanjeev Bansal

Dr. Nitendra Kumar

Dr. Priyanka Agarwal

Dr. Yeliz Karaca

Guest Editors.

AI Adoption; Human AI-Decision-Making; Organizational Decision-Making; Organizational Psychology; Dynamic Decision Making; Computational Health Communication; AI in Health Communication