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A Business Model Taxonomy for Start-Ups in the Electric Power Industry - The Electrifying Effect of Artificial Intelligence on Business Model Innovation

机译:电力行业初创企业的商业模式分类 - 人工智能对商业模式创新的通电效果

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Artificial intelligence (AI) serves as a technological driver for business model innovation by guiding decisions and automating services, thereby leveraging efficiency-enhancing and profitable business practices. Especially in the electric power industry, a multitude of start-ups have entered the market offering disruptive Al-based services. However, there has been little research to date on what concrete business models result from the diffusion of AI and how these might be classified. In view of this research gap, this paper contributes to a better understanding of start-ups in the electric power industry that use AI technologies by systematically developing a business model taxonomy. In addition, we conducted 12 semi-structured interviews with domain experts for the evaluation step and validated the robustness of the taxonomy based on cluster analysis to identify common business model archetypes. Finally, we derived and discussed the academic and practical implications of our research and highlighted future research avenues.
机译:人工智能(AI)是通过指导决策和自动化服务作为商业模式创新的技术驾驶员,从而利用效率增强和有利可图的商业实践。特别是在电力行业中,众多的初创公司进入了市场提供了破坏性的基于AL的服务。然而,迄今为止,迄今为止,何种具体商业模式是由AI的扩散以及这些方法的分类而逐渐进行的研究。鉴于此研究差距,本文有助于通过系统地开发商业模式分类,更好地了解使用AI技术的电力行业的初创企业。此外,我们还与域专家进行了12个半结构化访谈,用于评估步骤,并根据集群分析验证了分类法的稳健性,以确定公共业务模型原型。最后,我们得出并讨论了我们研究的学术和实际影响,并强调了未来的研究途径。

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