E-commerce Platform Data Governance Environment: Concepts, Elements and Implications
DOI:
https://doi.org/10.54097/fbem.v7i2.4850Keywords:
E-commerce platform, Data governance, Data governance environment.Abstract
Multi-agent participation in data governance is the future trend of data governance research. However, multi-agent participation increases environmental uncertainty for enterprises to implement data governance activities to a certain extent, and the externalities generated by data governance activities still need to be studied. Taking E-commerce platform as an example, this paper aims to explore the conceptual elements of data governance environment and provide practical guidance for promoting multi-subject participation in the data governance process. By using the methods of literature research and theoretical deduction, this paper defines the concept of data governance environment for the first time, defines the core elements of data governance environment, and defines the data governance environment of E-commerce platform as an interactive system composed of data governance participants such as government, platform and users based on system theory and stakeholder theory. It is the space for data and information exchange during data governance activities, and it is the sum of factors that can directly or indirectly affect the data governance process of each participant. E-commerce platform data governance environment is mainly composed of government-level environment, platform-level environment and user-level environment. The environmental elements at the government-level include data policy and industrial policy; the environment at the platform-level consists of data environment and non-data environment; and the environment at the user-level includes personal cognitive ability, personal data literacy and personal privacy awareness.
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References
MOSLEY M, BRACKETT M H, EARLEY S, et al. DAMA guide to the data management body of knowledge (DAMA-DMBOK guide) [J]. 2010.
Xiong Yanan. A study of driving factors and conduction mechanism of value creation for E-commerce platform enterprises-based on the research perspectives of grounded theroy. [D]; Guangxi University, 2016.
JIANG G, CAI X, FENG X, et al. Effect of data environment and cognitive ability on participants’ attitude towards data governance [J]. Journal of Information Science, 2021.
Chen Rongchang. Legitimacy,Dilemma and Path of Network Platform Data Governance [J]. Social Sciences in Ningxia, 2021, (01): 72-80.
Xiang Ting, Ye Yun. Research on platform enterprise data governance: Subject, Dilemma and Approach -- from the perspective of literature analysis [J]. Financial Management Research, 2021, (12): 17-23.
Ma Lan. Research on Network tax collection and Administration based on the characteristics of E-commerce platform two-sided market [J]. China Business & Trade, 2015, (32): 91-3.
Wang Fatao. Research on governance and competition policy of E-commerce vertical relationship [D]. Beijing University of Posts and Telecommunications, 2014.
Xu Feng, Wu Minyu, Xu Xuan, et al. Educational Data Governance: An Example of Jiangxi Province [J]. Open Education Research, 2018, 24(02): 107-12.
Song Suxuan, Yang Xianming, Song Ziqiang. Towards an integrated management system for university data governance:its constitution and implementation pathways [J]. Chinese Journal of Distance Education, 2021, (11): 58-67.
Wu XD, Dong BB, Du XZ, Yang W. Data governance technology. Ruan Jian Xue Bao/Journal of Software, 2019, 30(9):2830−2856 (in Chinese). http://www.jos.org.cn/1000-9825/5854.htm
Li Feng, Zhou Zhou. Data Governance and platform-based Government Construction -- Big Data-driven reform of government governance mode [J]. Journal of Nanjing University(Philosophy,Humanities and Social Sciences), 2021, 58(04): 53-61.
VERWEIJ P. Understanding the value of data governance [D]; Vrije Universiteit Amsterdam, 2017.
Sun Zhongdong. Manage data quality under the frame of the enterprise-level data governance [J]. Financial Computerizing, 2011, (06): 57-60+6.
Zhang Ning, Yuan Qinjian. A Review of Data Governance Research [J]. JOURNAL OF INTELLIGENCE, 2017, 36(05): 129-34+63.
Zheng Zuting. On Marx’s “Historical Environment” Theory [J]. Journal of Xiangtan University(Philosophy and Social Sciences), 2010, 34(03): 126-30.
Hu Xiaoqing. Research on the construction of archival data governance framework [J]. Shandong Archives, 2021, (05): 16-9.
Xu Yang, Hu Yue. The Concept, Application Field and Multiple Dilemmas of Government Data Governance: A Review and Prospect [J]. Information Studies:Theory & Application, 2022, v.45;No.336(01): 196-204.
Li Yongjian. Internet Platform Data Monopoly: Theoretical Differences, Governance Practices and Policy Suggestions [J]. Frontiers, 2021, (21): 56-66.
Fan Xiaojie. Research on the impact of industrial policy on enterprise R&D innovation-Based on the empirical test of Chinese manufacturing listed companies [D]; Dalian University of Technology, 2021.
Zheng Daqing, Fan Yingjie, Pan Rong, et al. Discussion on the Concept, Key Components of Big Data Governance [J]. Science and Technology Management Research, 2017, 37(15): 200-5.
Ma Jun. Research on Industrial Internet Data Governance Evaluation System Based on Industrial Chain [D]; Tianjin University of Technology, 2021.
Wen Xiaomin, Guo Lifang. The Influence of Network Governance Mechanism on Network Governance Performance —— From the Perspective of Symbiosis Theory [J]. Technoeconomics & Management Research, 2020, (03): 109-13.
BEGG C, CAIRA T. Exploring the SME Quandary: Data Governance in Practise in the Small to Medium-Sized Enterprise Sector [J]. Electronic Journal of Information Systems Evaluation, 2012, 15(1): 3–13.
WATSON H J, FULLER C, ARIYACHANDRA T. Data warehouse governance: best practices at Blue Cross and Blue Shield of North Carolina [J]. Decision Support Systems, 2004, 38(3): 435-50.
Zhang Meijuan. Research on the Influencing Factors of Multiple Subjects Collaborative Governance of Shared Accommodation Platform [D]; University of Electronic Science and Technology of China , 2021.








