ChatGPT, a Stormy Innovation for a Sustainable Business

Dear Colleagues,

The scope and purpose of the issue

Technological and financial innovation are already providing long-term answers to the five main tasks of the financial system: transporting value, storing value, trading value, funding value creation, and managing value at risk (Smith and Hensher,2020). Artificial intelligence (AI) (Buchanan, 2019), blockchain (Nakamoto, 2020), peer-to-peer lending platforms (Xia et al.2022), the Internet of Things (IoT) (Ashton, 2009), matchmaking platforms such as crowdlending (Mollick, 2014), and tokenizing green assets (Hale, 2016) are all viable ways to scale up green finance to achieve the Sustainable Development Goals (SDGs) (United Nations, 2015). Securing the resilience of such an achievement, particularly its environmental and social sustainability, may be possible via digitizing green financing (Debrah, 2022).

Recently, ChatGPT, the latest artificial intelligence innovation, is an example of Generative AI that can sift through oceans of data to create new content on demand in textual and other multimedia formats (Eke, 2023). Many people feel that it is the most significant innovation since the inception of the Internet, and that it will change society and business as we know it (Johnson, 2023). ChatGPT, the newest AI breakthrough, ignited a new AI storm in both the technological and financial spheres (Dwivedi et al. 2023). More research is needed to develop new business strategies, models, methodologies, tools, and standards to realize the commercial potential of conversational AI technologies such as ChatGPT in banking and finance for a sustainable and greener business (Bin Sawad et al., 2022).

In this light, this special issue will act as a discussion nexus for all related research endeavors related to innovation for a sustainable and greener business. All theoretical and empirical (qualitative and quantitative) methods are accepted, and we especially encourage multidisciplinary and interdisciplinary papers (Aibar-Guzmán, 2021). As a result, organizations face both obstacles and possibilities when it comes to managing their innovation processes in the digital age (Roberts and Faith, 2021). Even though digital transformation in organizations has received a lot of attention in practice in recent years, more research is needed to better understand how innovation processes in businesses should be managed, especially in the age of new breakthroughs such as ChatGPT (Smith et al.2023).

Topics of interest include, but are not limited to:

• Commercial concerns about the usage of green innovation in businesses and in finance.
• What role do governments play in promoting green digital finance?
• Development of ChatGPT-like financial applications.
• Ethical implications of using ChatGPT and other generative innovations in business fields, finance, and education.
• What are the dangers involved with green digital finance, and how should they be managed?
• Using AI, DLT or blockchain, peer-to-peer lending platforms, big data, internet-based and mobile-based payments, IoT, matchmaking platforms such as crowdlending, and tokenizing green assets to scale up green finance.
• Future research directions for conversational AI in entrepreneurship, accounting, banking, and finance.
• Governance of conversational AI usage in financial organizations.
• Incorporation of ChatGPT applications into corporate financial strategy.
• Empirical and case studies on using digital finance and FinTech to fund green initiatives in various nations and industries.
• Smart integration with existing technologies such as blockchain for a sustainable environment and business.
• Green digital finance and financial institutions.

References

Smith, G., & Hensher, D. A. (2020). Towards a framework for Mobility-as-a-Service policies. Transport policy, 89, 54-65.

Buchanan, B. (2019). Artificial intelligence in finance.

Nakamoto, S. (2020). A peer-to-peer electronic cash system. Bitcoin (2008).

Xia, H., Wang, P., Wan, T., Zhang, Z. J., Weng, J., & Jasimuddin, S. M. (2022). Peer-to-peer lending platform risk analysis: an early warning model based on multi-dimensional information. The Journal of Risk Finance, 23(3), 303-323.

Ashton, K. (2009). That ‘internet of things’ thing. RFID journal, 22(7), 97-114.

Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of business venturing, 29(1), 1-16.

Hale, T. (2016). “All hands on deck”: The Paris agreement and nonstate climate action. Global environmental politics, 16(3), 12-22.

Nations, U. (2015). Transforming our world: The 2030 agenda for sustainable development. New York: United Nations, Department of Economic and Social Affairs.

Debrah, C., Chan, A. P. C., & Darko, A. (2022). Green finance gap in green buildings: A scoping review and future research needs. Building and Environment, 207, 108443.

Eke, D. O. (2023). ChatGPT and the rise of generative AI: threat to academic integrity?. Journal of Responsible Technology, 13, 100060.

Johnson, A. (2023, January 23). ChatGPT In Schools: Here’s Where It’s Banned—And How It Could Potentially Help Students. Forbes. https://www.forbes.com/sites/ariannajohnson/2023/01/18/chatgpt-in-schools-heres-where-its-banned-and-how-it-could-potentially-helpstudents/?sh=443643686e2c

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.

Bin Sawad, A., Narayan, B., Alnefaie, A., Maqbool, A., Mckie, I., Smith, J., ... & Kocaballi, A. B. (2022). A systematic review on healthcare artificial intelligent conversational agents for chronic conditions. Sensors, 22(7), 2625.

Aibar-Guzmán, C., & Somohano-Rodríguez, F. M. (2021). Do consumers value environmental innovation in product?. Administrative sciences, 11(1), 33.

Roberts, T., & Faith, B. (2021). Digital Aid: understanding the digital challenges facing humanitarian assistance.

Smith, A., Hachen, S., Schleifer, R., Bhugra, D., Buadze, A., & Liebrenz, M. (2023). Old dog, new tricks? Exploring the potential functionalities of ChatGPT in supporting educational methods in social psychiatry. International Journal of Social Psychiatry, 00207640231178451.

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Dr. Christophe Schmitt
Dr. Nada Mallah Boustani
Guest Editors

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• green finance
• artificial intelligence (AI)
• blockchain
• sustainable development goals (SDGs)
• digital transformation
• innovation processes
• conversational AI
• financial innovation
• business model changes