Conference Main Theme: Embracing Generative AI for Sustainable Business Management
Generative AI is reshaping industries and offering new opportunities for businesses to innovate, optimise, and thrive in an increasingly complex and environmentally conscious world. Join us for a day of insightful discussions, expert-led sessions, and collaborative workshops, where we will explore how AI can be harnessed to drive long-term sustainability and strategic growth.
Date: 4th June 2025
Venue: Virtual (online)
The Third Annual Conference on Embracing Generative AI in Sustainable Business Management will be hosted by the School of Business Management and Creativity at Arden University. The conference will run virtually (online) under the above theme.
With the global business landscape evolving, companies face increasing pressures to address sustainability challenges. Generative AI is emerging as a powerful tool in this journey, opening new pathways for innovation, efficiency, and positive environmental impact (Ghobakhloo, et al., 2024). The 3rd annual conference will explore how AI can drive sustainable innovation, enabling businesses to develop solutions that not only meet current demands but also ensure a sustainable future for generations to come.
As businesses increasingly recognise the need for responsible and efficient operations, Generative AI offers innovative solutions that drive environmental sustainability, promote circular economies, and support businesses in becoming more resilient in the face of global challenges (Shafik, 2024). Meanwhile, the need for businesses to adapt to climate change, reduce resource consumption, and increase operational efficiency has never been more urgent (Javaid, et al., 2022). In this context, Generative AI provides organisations with the tools necessary to make data-driven decisions that prioritise long-term sustainability over short-term profits. This technology is not just about improving efficiency; it is about reimagining business models and developing systems that allow businesses to thrive while minimising their impact on the environment.
The COVID-19 pandemic exposed the fragility of many business operations, particularly in industries reliant on global supply chains and physical infrastructure (Yu, et al., 2021). In the wake of the crisis, businesses have increasingly turned to Generative AI to build resilience, streamline operations, and enhance sustainability (Kamalipoor, et al 2023). Our conference will focus on real-world case studies where AI-driven innovations have helped businesses recover and thrive post-pandemic. To achieve a better understanding, the conference establishes a discussion on the importance of collaboration between academia, industry, and enterprises to drive sustainability forward. We will discuss how sustainable entrepreneurship can be nurtured through ethical business models and cross-sector partnerships that create shared value for society and business alike.
“The wide implementation of AI addresses concerns related to data privacy, algorithmic bias, and the need for human oversight and accountability. Ethical frameworks and guidelines for responsible AI usage in education are explored, emphasising the importance of transparency, fairness, and inclusivity in AI-enabled learning environments.”
The collaboration between academia, industry, and enterprises highlights the importance of understanding the evolving landscape of business management education, especially in a world where AI and sustainability are central to industry practices. This theme will focus on the need to cultivate future leaders who are not only technically skilled but also ethically grounded in sustainable business practices. The conference will explore how collaborations between academia and industry can drive research and development in sustainable innovation, and examine the ways in which AI is transforming pedagogy. This transformation is enabling more flexible learning models that equip students to thrive in a rapidly changing business environment.
This conference provides a platform for experts, practitioners, and educators to engage in meaningful dialogue, share insights, and collaborate on innovative ideas that will help them navigate this exciting frontier. Please reserve your place by registering through this link: The 3rd Annual Conference Registration.
Call for Paper 4th June 2025.
Prospective authors/speakers are encouraged to contribute to and help shape the conference through submissions of their research abstracts and conceptual opinion papers. Also, high-quality research contributions presenting original and unpublished results of conceptual, constructive, empirical, or theoretical work on the below themes.
Aims of the conferences:
Specifically, the conference aims to:
- Explore the Role of Generative AI in Promoting Sustainable Innovation
- Examine AI's Impact on Data-Driven Sustainability within Regulatory Frameworks
- Foster Collaboration Between Universities, Industry, and Enterprises for Sustainable Practices
- Shape the Future of Business Management Education in the AI Era
Conference Themes:
- Leveraging Generative AI for Business Lifecycle Optimisation
- Developing Sustainable Business Models with AI-Driven Insights
- AI-Powered Circular Economy: Enabling Closed-Loop Systems
- Sustainable Industrial Case Studies: AI-Enabled Innovations for strengthening Post Covid Resilience
- Using AI to track and measure sustainability KPIs (Carbon Footprints)
- Advanced Data Analytics to Optimise Resource Use and Minimise Emissions
- Promoting Corporate Social Responsibility (CSR) and ESG Goals through AI
- Real-time Decision-making for Sustainable Supply chain Management
Advancing Sustainable Entrepreneurship and Ethical Business Models
- Fostering Cross-Sectoral Networks for Shared Value Creation
- Building Skills for the Green Economy: Bridging the Employability Gap
- Highlight industry-driven curricula: Showcase how partnerships with employers’ shape modules.
- Preparing Future Leaders in Sustainable and Ethical Business Practices
- Strengthening Academia – Industry R&D Collaboration for Sustainable Innovation
- Transforming Pedagogy: Integrating AI and Flexible Learning Models
Guidelines for Abstracts submission:
Please ensure your submission meets the conference's strict guidelines for accepting Abstract.
Acceptable Formats of Delivery:
- Case Study/research presentations
- Interactive Workshops
- Discussion Panel
Key Dates and Deadlines:
| Abstract Submission Deadline: | 31st March 2025 |
| Notification of Acceptance: | 15th April 2025 |
| Full Paper/ Presentation/Poster submission: | 15th May 2025 |
Any issues, please contact the conference committee:
References:
Ghobakhloo, M., Fathi, M., Iranmanesh, M., Vilkas, M., Grybauskas, A. and Amran, A., 2024. Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals. Journal of Manufacturing Technology Management, 35(9), pp.94-121.
Javaid, M., Haleem, A., Singh, R.P., Suman, R. and Gonzalez, E.S., 2022. Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, pp.203-217.
Kamalipoor, M., Akbari, M., Hejazi, S.R. and Nazarian, A., 2023. The vulnerability of technology-based business during COVID-19: an indicator-based conceptual framework. Journal of Business & Industrial Marketing, 38(5), pp.983-999.
Shafik, W., 2024. Generative AI for Social Good and Sustainable Development. In Generative AI: Current Trends and Applications (pp. 185-217). Singapore: Springer Nature Singapore.
Yu, Z., Razzaq, A., Rehman, A., Shah, A., Jameel, K. and Mor, R.S., 2021. Disruption in global supply chain and socio-economic shocks: a lesson from COVID-19 for sustainable production and consumption. Operations Management Research, pp.1-16.
