Dear Colleagues,

A special issue on the“Application of Artificial Intelligence for Sustainable Business, Engineering

Applications, and Social Psychology” would likely explore how AI technologies are being leveraged

across various domains to promote sustainability and enhance outcomes in business, engineering, and

social psychology. Here's a breakdown of what such a special issue might include:

1. Artificial Intelligence in Sustainable Business:

 AI for Green Business Practices: Exploring how AI can help businesses reduce their

environmental footprint through energy efficiency, waste reduction, and sustainable sourcing.

 AI in Circular Economy: Implementing AI solutions for the circular economy, such as waste

management, recycling, and product life cycle optimization.

 Data-Driven Decision-Making for Sustainability: AI-powered analytics can help businesses

make informed decisions about resource allocation, sustainability goals, and carbon footprint

reduction.

 AI for Social Responsibility: Examining how AI can be used to track corporate social

responsibility (CSR) initiatives and ensure companies meet ethical and sustainability

standards.

 Smart Supply Chains: AI for optimizing supply chains, minimizing waste, and supporting

sustainable production methods, leading to cost reduction and environmental benefits.

2. Artificial Intelligence in Engineering Applications:

 AI for Energy Management: AI-driven solutions in engineering, particularly in energy

production, distribution, and consumption, to optimize energy use, integrate renewable energy

sources, and reduce environmental impact.

 Smart Cities and AI: Exploring AI applications in urban planning, transportation, and

infrastructure to create more sustainable and efficient cities.

 AI in Manufacturing and Industry 4.0: How AI can drive advancements in smart

manufacturing, automation, predictive maintenance, and production optimization to improve

resource efficiency and reduce waste.

 Sustainable Engineering Design: Using AI to create designs that are both innovative and

sustainable, such as in the construction of buildings, bridges, or infrastructure that are energy-

efficient and low-carbon.

 AI for Climate Change Mitigation: Exploring AI's role in modeling climate change, predicting

its impacts, and developing engineering solutions to mitigate or adapt to its effects.

3. Artificial Intelligence in Social Psychology:

 AI for Behavioral Analysis: AI applications for understanding human behavior, mental

health, and decision-making processes through data-driven psychological models.

 Cognitive Behavioral AI Systems: Examining the intersection of AI and social psychology in

creating systems that can mimic human psychological processes, offering potential for

therapeutic applications and mental health interventions.

 Social Media and AI in Public Opinion: Investigating how AI models are used to analyze

and influence public opinion, shaping social dynamics, and understanding human interactions

on digital platforms.

 AI for Personalized Learning and Behavioral Interventions: How AI can tailor educational

content and mental health interventions to individual psychological needs.

 Ethical Implications of AI in Social Psychology: Exploring the ethical considerations of

using AI to influence or manipulate social behaviors, biases in AI algorithms, and the potential

for creating social inequalities.

4. Interdisciplinary Connections:

 AI and the UN Sustainable Development Goals (SDGs): Discussing the role AI can play in

achieving SDGs across various sectors, ensuring both societal well-being and environmental

sustainability.

 Cross-Domain AI Applications: Highlighting examples where AI bridges business,

engineering, and psychology in ways that promote sustainability—for instance, smart

workplaces designed to improve employee well-being while reducing environmental impact.

 Challenges and Future Trends: Addressing the challenges AI faces in these fields, such as

data privacy, algorithmic bias, scalability issues, and the need for interdisciplinary

collaboration to achieve sustainable outcomes.

We welcome a diversity of articles, such as conceptual and empirical articles, reviews, critical comments, and meta-analyses, for submission to this Special Issue. We will accept manuscripts from different disciplines, addressing topics related to the scope.

 

Prof. (Dr.) Anuj Kumar

Dr. Shreyas J

Dr. Shruti Sharma Rana

Dr. Aditi Choudhary

Dr. Sri Sakuntala S

Dr. Anjani Srivastava

Guest Editors

Artificial Intelligence (AI);Sustainable Business;Green Business Practices;Circular Economy;AI for Sustainability;Energy Efficiency;Smart Supply Chains;AI in Engineering;Smart Cities;Industry 4.0;AI in Manufacturing;Sustainable Engineering Design;AI for Climate Change;AI in Social Psychology;Behavioral Analysis with AI;Cognitive Behavioral AI;AI in Mental Health;Social Media and AI;Public Opinion Analytics;Personalized Learning with AI;Behavioral Interventions;AI Ethics;Sustainable Development Goals (SDGs);AI for Decision-Making;AI in Social Responsibility;Psychological Models and AI;AI-driven Innovation;Data-Driven Decision Making;AI in Human-Environment Interaction;AI for Public Health