Strategic Transformation of Data-driven Manufacturing Enterprise PlatformsBased on Data Organization Attributes and Case Studies of Kaisheng Enterprise Group
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摘要: 数字技术与经济活动的深度融合，无论从深度和广度上都加快了经济与社会发展。作为资源和技术手段的数据，极大改变了传统微观企业运营管理模式及战略。文章提出数据具有自组织和他组织二重属性，数据组织二重性及其杠杆效应成为在位企业对其他企业竞争壁垒，并运用案例进一步阐释“数据资源+”作用机理及如何构筑了企业竞争优势，促进企业平台化战略转型。Abstract: The deep integration of digital technology and economic activities has accelerated the development of the digital economy in terms of depth and breadth. As a resource and technical means, data has greatly changed the operation and management mode and strategy of traditional micro-enterprises. This paper proposes that data has the dual attributes of self-organization and other organizations, and the duality of data organization and its leverage effect further build the competitive barriers of enterprises, and on the basis of theoretical research, the mechanism of data resources is analyzed from the aspects of innovation, process and business model by using cases, and how “data resource +” builds enterprise competitive advantage and how data organization attributes promote the strategic transformation of enterprise platform transformation.
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Key words:
- data-driven /
- platform enterprise /
- strategic transformation /
- data organization duality
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表 2 数据杠杆及价值内涵
特征 内涵 数据杠杆 越多的人主动或被动地提供数据，公司就越能提高其产品的质量，产品对其他用户就越有吸引力，公司就有越多的数据可以进一步改进其产品，这对潜在用户就越有吸引力[22]。 数据价值—数据价值倍增 另一个消费者拥有一种兼容的商品时，一个消费者对该商品的价值就会增加[23]。还与其他生产要素互相融合连接时，发挥倍增作用[3, 8]。 数据价值—数据价值倍减 “过度惯性”阻碍从一个共同标准或技术向一个可能更高的新标准或技术的集体转换的可能性[23]；“转换”数据以使其与其他数据兼容的工具成本和复杂性可能很高[6]；隐私数据等不完全公开数据使得数据价值无法发挥，
会造成数据价值的倍减。注：内容来自本文观点整理而得。 
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[1] 谢康,夏正豪,肖静华. 大数据成为现实生产要素的企业实现机制:产品创新视角[J]. 中国工业经济,2020(5):42-60. [2] 胡登峰. 大数据资源管理与新型产业创新生态系统建设[J]. 中国高校社会科学,2021(6):101-107,156. doi: 10.3969/j.issn.2095-5804.2021.06.011 [3] 李海舰,赵丽. 数据成为生产要素:特征、机制与价值形态演进[J]. 上海经济研究,2021(8):48-59. [4] 王元卓,靳小龙,程学旗. 网络大数据:现状与展望[J]. 计算机学报,2013,36(6):1125-1138. [5] TEE R & GAWER A. Industry architecture as a determinant of successful platform Strategies:a case study of the i-mode mobile internet service [J]. European Mana gement Review,2009,6(4):217-232. doi: 10.1057/emr.2009.22 [6] MICHAL S G. DANIEL L R. Data standardization [J],New York University Law Review,2019,94(4):737-770 . [7] BORGOGNO O & COLANGELO G. Data sharing and interoperability:fostering innovation and competition through APIs [J]. Computer Law & Security Review,2019,35(5):105314. [8] MAYER-SCHNBERGER V & PADOVA Y. Regime change? Enabling big data through Europe’s new data protection regulation [J]. Science and Technology Law Review,2016,17(2):315-335. [9] 陈劲,李佳雪. 数字科技下的创新范式[J]. 信息与管理研究,2020,5(Z1):1-9. [10] 罗珉,李亮宇. 互联网时代的商业模式创新:价值创造视角[J]. 中国工业经济,2015(1):95-107. [11] 王芳. 关于数据要素市场化配置的十个问题[J]. 图书与情报,2020(03):9-13. [12] BENKLER Y. The wealth of networks:how social production transforms markets and freedom[M]. New Haven,London:Yale University Press,2006. [13] 何伟. 激发数据要素价值的机制、问题和对策[J]. 信息通信技术与政策,2020(6):4-7. [14] 王福涛,郝雄磊,袁永. 数字商业生态系统特征:数据控制和数据协调模式比较[J]. 南方经济,2022(2):1-17. [15] 刘业政,孙见山,姜元春,等. 大数据的价值发现:4C模型[J]. 管理世界,2020,36(2):129-138,223. [16] 王建冬,童楠楠. 数字经济背景下数据与其他生产要素的协同联动机制研究[J]. 电子政务,2020(3):22-31. [17] 汤志伟,韩啸. 政府数据开放价值共毁的生成机制:来自过程追踪法的发现[J]. 北京科技大学学报(社会科学版),2022,38(5):604-612. [18] ELKIN-KOREN N & Gal M. The chilling effect of governance-by-data on innovation [J]. University of Chicago Law Review,2019,86(2):403-431. [19] 叶春森,梁昌勇,梁雯. 基于云计算−大数据的价值链创新机制研究[J]. 科技进步与对策,2014,31(24):13-17. [20] BARTON D H R,JANG D O & JASZBERENYI J C,Radical deoxygenations and dehalogenations with dialkyl phosphites as hydrogen atom sources [J]. Tetrahedron Letters,1992,33(17):2311-2314. [21] AMIT R & HAN X. Value creation through novel resource configurations in a digitally enabled world [J]. Strategic Entrepreneurship Journal,2017,11(3):228-242. doi: 10.1002/sej.1256 [22] MAURICE E S & ALLEN P G. Big Data and Competition Policy [M]. Oxford:Oxford University Press,2016. [23] SALONER F G. Standardization,compatibility,and innovation [J]. Rand Journal of Economics,1985,16(1):70-83. doi: 10.2307/2555589 [24] DRNEVICH P L & CROSON D C. Information technology and business-level strategy:toward an integrated theoretical perspective [J]. MIS Quarterly,2013,37(2):483-509. doi: 10.25300/MISQ/2013/37.2.08 [25] 苗圩. 抓住新工业革命机遇推动智能制造发展迈上新台阶[C]//陕西省机械工程学会. 陕西省机械工程学会2019年论文汇编,2022:62-63,68. [26] ROGERSL D. The Digital Transformation Playbook:Rethink Your Business for the Digital Age [M]. New York:Columbia University Press,2016. -
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