Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Simulation Research on the Innovation Mechanism of New Retail Business Models Driven by Big Data

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344468,
        author={Xinyu  Li and Shengyuan  Wang},
        title={Simulation Research on the Innovation Mechanism of New Retail Business Models Driven by Big Data},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={business model innovation; new retail; big data},
        doi={10.4108/eai.8-12-2023.2344468}
    }
    
  • Xinyu Li
    Shengyuan Wang
    Year: 2024
    Simulation Research on the Innovation Mechanism of New Retail Business Models Driven by Big Data
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344468
Xinyu Li1, Shengyuan Wang1,*
  • 1: Liaoning Technical University
*Contact email: shengyuan45@163.com

Abstract

The new retail business model, which focuses on human beings, goods as the essence, and market as the foundation, promotes innovation in the new retail business model. From the perspective of big data-driven innovation in new retail business models, big data capabilities can be divided into three categories: big data acquisition capabilities to improve customer profiles, big data resource integration capabilities to integrate the reasonable allocation of upstream and downstream resources in the supply chain of new retail enterprises, and big data application capabilities to carry out personalized customization and marketing to improve customer satisfaction. Based on a basic case study, a system dynamics model was constructed to model and analyze the impact mechanism and path of big data capability on enterprise revenue and customer size under the driving force of new retail enterprise innovation driven by big data capability.