AI与IOT技术在协同商业生态系统中的影响机制——基于WSR方法的案例分析

AI and IOT technologies impact mechanisms in collaborative business ecosystems —— A Case Study Based on WSR Method

摘要:

人工智能的出现对商业模式和经济生态造成了颠覆性影响，这不可避免地影响商业生态中的价值创造过程。通过使用扎根理论和“物理-事理-人理”系统方法论，构建了基于技术驱动的协同商业生态模型，对Q智慧渔业公司进行案例研究，探索人工智能和物联网等高新技术对商业生态中价值创造过程的具体影响机制。研究发现：通过构建平台公司、养殖户、供应商和金融机构的商业生态系统实现商业价值的创造与分配，在此过程中人工智能和物联网技术被有效地整合为自我复制和扩展的系统，使得商业生态系统中的参与者能够依赖不断增长的商业数据发现并创造商业价值。研究的主要贡献在于有两点：其一，是构建了一种商业生态分析的理论框架，分解了商业生态系统的技术和非技术组件；其二，是从物理-事理-人理三个维度，分析了AI和IOT技术参与协同商业生态系统价值创造的九种机制。研究启示：商业生态系统参与者之间的功能分配和利益分割合理，才能够吸引足够多的参与者，维持商业生态系统的可持续发展；此外，人工智能的自演化机制能够极大降低商业生态系统价值共创成本。

Abstract:

Abstract: The emergence of artificial intelligence has had a disruptive impact on business models and economic ecosystems, inevitably affecting the value creation process within commercial ecosystems. Through the use of the Grounded Theory and the Wuli-Shili-Renli System Approach, a technology-driven collaborative business ecosystem model has been constructed. A case study on the Q Smart Fisheries Company was conducted to explore the specific impact mechanisms of high-tech technologies such as AI and IOT on the value creation process within commercial ecosystems.The research finds that by establishing a business ecosystem system involving platform companies, fish farmers, suppliers, and financial institutions, business value creation and distribution can be achieved. In this process, AI and IOT technologies are effectively integrated as a self-replicating and expanding system, enabling participants in the commercial ecosystem to rely on the growing business data for discovery and creation of business value.Research implications: Only when the functional distribution and benefit segmentation between the participants in the business ecosystem are reasonable can attract enough participants to maintain the sustainable development of the business ecosystem; In addition, the self-evolution mechanism of AI can greatly reduce the cost of value co-creation in the business ecosystem.