Smart City Gnosys
Smart city article details
| Title | Factors Influencing Organizational Adoption Of Artificial Intelligence And Corporate Social Responsibility In A Solar System World |
|---|---|
| ID_Doc | 26047 |
| Authors | Rouhana R.; Sayegh M.M.; Sidani D. |
| Year | 2024 |
| Published | Lecture Notes in Networks and Systems, 1067 LNNS |
| DOI | http://dx.doi.org/10.1007/978-3-031-66431-1_8 |
| Abstract | Smart Cities are Weaving Technology into Urban Fabric. The benefits of this intelligent transformation are multifold, from environmental sustainability, to economic prosperity, and improved quality of life. While AI has the potential to promote CSR, it is important to be aware of the potential risks. By doing so, businesses can help to ensure that AI is used in a way that benefits society and the environment, and then aligned with CSR principles. As AI and CSR are relatively new fields of study, and the SEPs industry is a vast and complex environment, it is difficult to predict how AI will impact this kind of organizations. Based on a detailed review of previous literature, the Technology-Organizations-Environment (TOE) framework, and the Diffusion of Innovation theory (DOI) and the corporate Artificial Intelligence (AI) readiness, our article focuses on the potential impact of AI on Corporate Social Responsibility (CSR). Through a qualitative method on a single case study, our objective is to analyze the relations between the three main concepts: the SEPs emerging industry, the AI readiness/use and its impact on the CSR (protecting the resources/providing clean energy). Our findings show that SEPs heavily rely on AI systems and platforms to customize their products and services to their customers. It further highlights the urgent need for more accurate and comprehensive AI models to improve the prediction of solar production. However, our study is limited to one case, and future researches could be leaded in order to generalize our findings. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. |
| Author Keywords | Artificial intelligence; Corporate social responsibility; Interactions models; Smart cities; Solar system organizations; Systems thinking |
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