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Lei Huang
Institute of Science, Technology and Society, Chinese Academy of Science and Technology for Development, Beijing, China

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Earlycite article
Published: 17 November 2020 in Data Technologies and Applications
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Purpose The online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test of the competition structure of the data-driven online platform is still less. This research is trying to reveal market allocation structure of the personal data resource of China's car-hailing platforms competition by the empirical data analysis. Design/methodology/approach This research is applying the social network analysis by R packages, which include k-core decomposition and multilevel community detection from the data connectedness via the decompilation and the examination of the application programming interface of terminal applications. Findings This research has found that the car-hailing platforms, which establish more constant personal data connectedness and connectivity with social media platforms, are taking the competitive market advantage within the sample network. Data access discrimination is a complementary method of market power in China's car-hailing industry. Research limitations/implications This research offers a new perspective on the analysis of the multi-sided market from the personal data resource allocation mechanism of the car-hailing platform. However, the measurement of the data connectedness requires more empirical industry data. Practical implications This research reveals the competition structure that relies on personal data resource allocation mechanism. It offers empirical evidence for governance, which is considered as the critical issue of big data research, by reviewing the nature of the data network. Social implications It also reveals the data convergence process of the social system and the technological system. Originality/value This research offers a new research method for the real-time regulation of the car-hailing platform.

ACS Style

Lei Huang; Yandong Zhao; Guangxi He; Yangxu Lu; Juanjuan Zhang; Peiyi Wu. Data access as a big competitive advantage: evidence from China's car-hailing platforms. Data Technologies and Applications 2020, 55, 192 -215.

AMA Style

Lei Huang, Yandong Zhao, Guangxi He, Yangxu Lu, Juanjuan Zhang, Peiyi Wu. Data access as a big competitive advantage: evidence from China's car-hailing platforms. Data Technologies and Applications. 2020; 55 (2):192-215.

Chicago/Turabian Style

Lei Huang; Yandong Zhao; Guangxi He; Yangxu Lu; Juanjuan Zhang; Peiyi Wu. 2020. "Data access as a big competitive advantage: evidence from China's car-hailing platforms." Data Technologies and Applications 55, no. 2: 192-215.

Journal article
Published: 19 October 2019 in Sustainability
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Car-hailing platform governance is an emerging topic of research and practice. The governance of the data-driven platform economy is challenging the research paradigm of competition regulation in the context of open innovation. This research is trying to reveal the market allocation structure of China’s online car-hailing industry from the perspective of personal data allocation by the study of Application Programming Interface (API) of sample platforms. On the basis of the networked nature of personal data allocation via APIs, this research constructs a mathematical model of the edge weight of data resource connections between platforms. Furthermore, this research optimises the structural hole analysis of complex networks to discuss the state of personal data resource allocation in China’s car-hailing industry. Results reveal that there are obvious structural holes within the sample network. When compared with related indicators, we found that accessing personal data resources is an essential component of the sample network competition capability and sustainable innovation. Social media platforms and online payment platforms more greatly impact car-hailing platform competition than other types of platforms within the multi-sided market context. This research offers a research perspective of personal data allocation for further study of competition, regulation and sustainable innovation of data-driven platform economies.

ACS Style

Lei Huang; Yandong Zhao; Liang Mei; Peiyi Wu; Zhihua Zhao; Yijun Mao. Structural Holes in the Multi-Sided Market: A Market Allocation Structure Analysis of China’s Car-Hailing Platform in the Context of Open Innovation. Sustainability 2019, 11, 5813 .

AMA Style

Lei Huang, Yandong Zhao, Liang Mei, Peiyi Wu, Zhihua Zhao, Yijun Mao. Structural Holes in the Multi-Sided Market: A Market Allocation Structure Analysis of China’s Car-Hailing Platform in the Context of Open Innovation. Sustainability. 2019; 11 (20):5813.

Chicago/Turabian Style

Lei Huang; Yandong Zhao; Liang Mei; Peiyi Wu; Zhihua Zhao; Yijun Mao. 2019. "Structural Holes in the Multi-Sided Market: A Market Allocation Structure Analysis of China’s Car-Hailing Platform in the Context of Open Innovation." Sustainability 11, no. 20: 5813.