Path Evolution of Data-Driven Platform Startups Business Models Innovation ——A Longitudinal Case Study Based on Biyao Mall
Zhang Pei1,2, Yang Huixiao1
1. School of Economics and Management,Hebei University of Technology,Tianjin 300401,China;
2. Research Center for Digitalization and Intelligentialize Development,Hebei University of Technology,Tianjin 300401,China
Abstract:As a new resource element,data greatly promotes the innovation of platform-based business model.The internal mechanism of data-driven start-ups using data resources to carry out platform-based business model innovation has not been clearly explained.This paper follows the logical thread of“Data Resource Elements-Business Activities-Innovation Types-Network Effects”,and carries out a longitudinal case study based on Biyao malls.This study shows the attributes of data resources have different impacts on the business model innovation of the digital original new enterprise platform.Data penetration affects data acquisition and business activity reconstruction,and the scalability and self-growth of data affect the deep participation and collaborative innovation of data applications and platform subjects.The business model innovation of digital original innovation platform has an evolutionary path from efficiency type to locking type.It is shown as efficiency innovation dominated by cross-side network effects in the creation stage,and in the growth stage,there is a lock-in innovation with cross-side and same-side network effects.The study enriches and develops the growing research theories related to data driven platform business model innovation,and it provides the reference for start-up enterprises to carry out sustainable innovation.
张培, 杨惠晓. 数据驱动平台型新创企业商业模式创新路径演化——基于必要商城的纵向案例研究[J]. 中国科技论坛, 2023(6): 118-129.
Zhang Pei, Yang Huixiao. Path Evolution of Data-Driven Platform Startups Business Models Innovation ——A Longitudinal Case Study Based on Biyao Mall. , 2023(6): 118-129.
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