ChatGPT, a Stormy Innovation for a Sustainable Business

A special issue of Administrative Sciences (ISSN 2076-3387).

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 9011

Special Issue Editors


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Guest Editor
Business Science Institute, Université de Lorraine, 54000 Nancy, France
Interests: entrepreneurship; innovation; governance

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Guest Editor
Faculty of Business and Administration, Université Saint-Joseph de Beyrouth, Beirut 1104 2020, Lebanon
Interests: innovation; finance; entrepreneurship; sustainability

Special Issue Information

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 policy89, 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 Finance23(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 venturing29(1), 1-16.

Hale, T. (2016). “All hands on deck”: The Paris agreement and nonstate climate action. Global environmental politics16(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 Environment207, 108443.

Eke, D. O. (2023). ChatGPT and the rise of generative AI: threat to academic integrity?. Journal of Responsible Technology13, 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 Management71, 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. Sensors22(7), 2625.

Aibar-Guzmán, C., & Somohano-Rodríguez, F. M. (2021). Do consumers value environmental innovation in product?. Administrative sciences11(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.

 We request that, prior to submitting a manuscript, interested authors initially submit a proposed title and an abstract of 300–500 words summarizing their intended contribution. Please send it to the guest editors ([email protected]) or to Administrative Sciences editorial office ([email protected]). Abstracts will be reviewed by the guest editors for the purposes of ensuring proper fit within the scope of the special issue. Full manuscripts will undergo double-blind peer-review.

Dr. Christophe Schmitt
Dr. Nada Mallah Boustani
Guest Editors

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Keywords

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

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Published Papers (5 papers)

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Research

15 pages, 972 KiB  
Article
Unleashing ChatGPT: Redefining Technology Acceptance and Digital Transformation in Higher Education
by Loubna Mourtajji and Nathalie Arts-Chiss
Adm. Sci. 2024, 14(12), 325; https://doi.org/10.3390/admsci14120325 - 2 Dec 2024
Viewed by 830
Abstract
This article examines the effects of integrating ChatGPT, a generative language model developed by OpenAI, into educational and training contexts in higher education. The research takes as its conceptual framework models of technology acceptance and questions the relevance of these models to the [...] Read more.
This article examines the effects of integrating ChatGPT, a generative language model developed by OpenAI, into educational and training contexts in higher education. The research takes as its conceptual framework models of technology acceptance and questions the relevance of these models to the acceptance and adoption of ChatGPT. A qualitative study carried out with teachers from various higher education establishments in France enables us to propose a model adapted to the specific features of generative AI. The ethical dimension and the controllability of the tools by users, made possible by a progressive training program, are two constructions that are essential to a proper understanding of whether or not these new tools are adopted. Additionally, this research contributes to the growing discourse on how generative AI innovations can be leveraged to enhance digital transformation in the academic sector, with a particular focus on business schools’ stakeholders and strategies. Finally, the contributions and prospects for future research are discussed. Full article
(This article belongs to the Special Issue ChatGPT, a Stormy Innovation for a Sustainable Business)
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22 pages, 590 KiB  
Article
Leveraging ICT and Generative AI in Higher Education for Sustainable Development: The Case of a Lebanese Private University
by Nada Mallah Boustani, Dina Sidani and Zaher Boustany
Adm. Sci. 2024, 14(10), 251; https://doi.org/10.3390/admsci14100251 - 8 Oct 2024
Viewed by 826
Abstract
This study investigates the interaction of information and communication technology (ICT) and higher education in driving sustainable development, with a special emphasis on the rising significance of generative AI tools such as ChatGPT. This quantitative study, conducted in a Lebanese private university, looks [...] Read more.
This study investigates the interaction of information and communication technology (ICT) and higher education in driving sustainable development, with a special emphasis on the rising significance of generative AI tools such as ChatGPT. This quantitative study, conducted in a Lebanese private university, looks into the impact of ICT, specifically generative AI, on promoting sustainability in higher education. A questionnaire was distributed to university instructors to determine how these technologies contribute to sustainable practices in academic environments. The results, which were evaluated using descriptive statistics and correlation analysis, show that ICT tools, professional instructor development, and the upkeep of educational infrastructure all contribute considerably to Lebanon’s sustainable development. Furthermore, integrating generative AI into educational processes has the potential to improve personalized learning, resource efficiency, and content production, all of which contribute to sustainability goals. The study concludes by exploring the findings’ broader implications, acknowledging their shortcomings, and suggesting future research possibilities. Full article
(This article belongs to the Special Issue ChatGPT, a Stormy Innovation for a Sustainable Business)
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12 pages, 237 KiB  
Article
The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival
by Lina Saleh and Samer Semaan
Adm. Sci. 2024, 14(9), 220; https://doi.org/10.3390/admsci14090220 - 13 Sep 2024
Viewed by 860
Abstract
The aim of this study is to investigate the potential of ChatGPT in analyzing the financial sentiment analysis of entrepreneurs. Sentiment analysis involves detecting if it is positive, negative, or neutral from a text. We examine several prompts on ChatGPT-4, ChatGPT-4.0, and LeChat-Mistral [...] Read more.
The aim of this study is to investigate the potential of ChatGPT in analyzing the financial sentiment analysis of entrepreneurs. Sentiment analysis involves detecting if it is positive, negative, or neutral from a text. We examine several prompts on ChatGPT-4, ChatGPT-4.0, and LeChat-Mistral and compare the results with FinBERT. Then, we examine the correlation between scores given by both tools with the type, size, and age of the company. The results have shown that scores given by FinBERT are mostly significant and positively correlated with sustainable variables. By sharing these results, we hope to stimulate future research and advances in the field of financial services, particularly bank loans. Full article
(This article belongs to the Special Issue ChatGPT, a Stormy Innovation for a Sustainable Business)
18 pages, 1090 KiB  
Article
Three Horizons of Technical Skills in Artificial Intelligence for the Sustainability of Insurance Companies
by Julio César Acosta-Prado, Carlos Guillermo Hernández-Cenzano, Carlos David Villalta-Herrera and Eloy Wilfredo Barahona-Silva
Adm. Sci. 2024, 14(9), 190; https://doi.org/10.3390/admsci14090190 - 26 Aug 2024
Viewed by 1092
Abstract
Insurance companies are experiencing unprecedented growth due to several emerging technology functionalities that have transformed the industry’s operations. Through the Three Horizons framework, this study explores the technical skills required to use artificial intelligence (AI) for the sustainability of insurance companies. Methodologically, it [...] Read more.
Insurance companies are experiencing unprecedented growth due to several emerging technology functionalities that have transformed the industry’s operations. Through the Three Horizons framework, this study explores the technical skills required to use artificial intelligence (AI) for the sustainability of insurance companies. Methodologically, it was carried out in two stages: First, defining the state-of-the-art, which included analysis of the current situation and studying technological surveillance. Second, technical skills and their strategic prevalence were identified for the design of each horizon. As a result, the adoption of AI in insurance companies allows them to transform their personal and data-intensive processes into engines of efficiency and knowledge, redefining the way companies in the sector offer their services. This study identifies the immediate benefits of AI in insurance companies. It provides a strategic framework for future innovation, emphasizing the importance of developing AI competencies to ensure long-term sustainability. Full article
(This article belongs to the Special Issue ChatGPT, a Stormy Innovation for a Sustainable Business)
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16 pages, 2762 KiB  
Article
AI-Driven Chatbots in CRM: Economic and Managerial Implications across Industries
by Chadi Khneyzer, Zaher Boustany and Jean Dagher
Adm. Sci. 2024, 14(8), 182; https://doi.org/10.3390/admsci14080182 - 19 Aug 2024
Viewed by 4645
Abstract
In the era of digitization and technical breakthroughs, artificial intelligence (AI) has progressively found its way into the field of customer relationship management (CRM), bringing benefits as well as difficulties to businesses. AI, particularly in the context of CRM, employs machine learning (ML) [...] Read more.
In the era of digitization and technical breakthroughs, artificial intelligence (AI) has progressively found its way into the field of customer relationship management (CRM), bringing benefits as well as difficulties to businesses. AI, particularly in the context of CRM, employs machine learning (ML) and deep learning (DL) techniques to extract knowledge from data, recognize trends, make decisions, and learn from mistakes with minimal human intervention. Successful firms have effectively integrated AI into CRM for predictive analytics, computer vision, sentiment analysis, personalized recommendations, chatbots and virtual assistants, and voice and speech recognition. AI-driven chatbots, one of the AI-powered CRM systems, arose as a disruptive approach to customer service, and as such, unfolded with economic and managerial ramifications in CRM. Given the literature’s focus on other AI-driven systems, there is an obvious need for an investigation of industry applications and the implications of AI-driven chatbots in CRM. The purpose of this study is to explore and elucidate the economic and managerial implications of AI-powered chatbots within CRM systems. This investigation aims to provide a comprehensive understanding of how these technologies can enhance customer interactions, streamline business processes, and impact organizational strategies. To reach this goal, this study conducts a comparative qualitative analysis based on many interviews with experts and contributors in the field. Interviews with CRM specialists yielded insights into the use of AI-driven chatbots in CRM and their impact on the industry. The primary advantages identified in this study were the impact of AI-powered chatbots on cost, efficiency, and human performance. In addition, AI chatbots have proven useful in a variety of industries, including retail and tourism. Nonetheless, there were limitations to its usage in the healthcare system, particularly in terms of ethical problems. Full article
(This article belongs to the Special Issue ChatGPT, a Stormy Innovation for a Sustainable Business)
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