数字化转型服务平台：面向新竞争格局的企业竞争力建设

doi:10.11959/j.issn.2096-0271.2023029

Abstract

Abstract:

With the improvement of data abilities and the development of emerging technologies, there are profound changes occurring in economic patterns and competitive structure of industries.In order to better respond to future opportunities and challenges, and to improve competitiveness of enterprises in new situations, it is necessary to understand and master the knowledge of digital transformation.The new competitive situation was discussed in which traditional enterprises would gradually be replaced by digital-transformed ones, digital transformation was differentiated from digitalization.Main challenges facing traditional enterprises while undergoing digital transformation were pinpointed, which were the lack of funds, talents, data and consciousness.A digital transformation service platform oriented to new competitive situation was proposed, which provided a feasible solution to enhancing enterprise competitiveness and conducting digital transformation.

Key words: digital transformation, emerging technologies, data asset, digital economy

CLC Number:

Yazhen YE, Yangyong ZHU. Digital transformation service platform:enhancing enterprise competitiveness in a new competitive situation[J]. Big Data Research, 2023, 9(3): 3-14.

Figures/Tables 1

References 37

[1]	埃里克·布莱恩约弗森, 安德鲁·麦卡菲 . 第二次机器革命:数字化技术将如何改变我们的经济与社会[M]. 蒋永军,译. 北京: 中信出版社, 2014.
	BRYNJOLFSSON E , MCAFEE A . The second machine age:work,progress,and prosperity in a time of brilliant technologies[M]. Translated by JIANG Y J. Beijing: CITIC Press, 2014.
[2]	SCHWAB K . The fourth industrial revolution[M]. Geneva: World Economic Forum, 2016.
[3]	托马斯·西贝尔 . 认识数字化转型[M]. 毕崇毅,译. 北京: 机械工业出版社, 2021.
	SIEBEL T . Digital transformation:survive and thrive in an era of mass extinction[M]. Translated by BI C Y. Beijing: China Machine Press, 2021.
[4]	DAN G . We the media:grassroots journalism by the people,for the people[M]. Cambridge: O’Reilly, 2004
[5]	保罗·莱文森 . 新新媒介(第二版)[M]. 何道宽,译. 上海: 复旦大学出版社, 2014.
	LEVINSON P . New new media(edition 2)[M]. Translated by HE D K. Shanghai: Fudan University Press, 2014.
[6]	中关村互动营销实验室. 2022年中国互联网广告数据报告[R]. 2023.
	Interactive Marketing Laboratory in Zhongguancun. China Internet advertising data report 2022[R]. 2023.
[7]	朱扬勇 . 旖旎数据:100分钟读懂大数据[M]. 上海: 上海科学技术出版社, 2018.
	ZHU Y Y . Charming data-to understand big data in 100 minutes[M]. Shanghai: Shanghai Scientific ＆ Technical Publishers, 2018.
[8]	GAROFALO R . From music publishing to MP3:music and industry in the twentieth century[J]. American Music, 1999,17(3): 318-354.
[9]	ARDITI D . iTunes:breaking barriers and building walls[J]. Popular Music and Society, 2014,37(4): 408-424.
[10]	IFPI. Global music report 2022[R]. 2022.
[11]	麦肯锡,中国连锁经营协会. 2022年中国零售数字化白皮书[R]. 2022.
	McKinsey ＆ Company,CCFA. 2022 China retail digitalization whitepaper[R]. 2022.
[12]	何黎明 . 中国智慧物流发展趋势[J]. 中国流通经济, 2017,31(6): 3-7.
	HE L M . The development trend of China’s smart logistics[J]. China Business and Market, 2017,31(6): 3-7.
[13]	钱慧敏, 何江, 关娇 . “智慧+共享”物流耦合效应评价[J]. 中国流通经济, 2019,33(11): 3-16.
	QIAN H M , HE J , GUAN J . Research on the coupling effect evaluation of “intelligent+sharing” logistics[J]. China Business and Market, 2019,33(11): 3-16.
[14]	韩彩珍, 王宝义 . “新零售”的研究现状及趋势[J]. 中国流通经济, 2018,32(12): 20-30.
	HAN C Z , WANG B Y . The theoretical situation of“new retail”and its extension[J]. China Business and Market, 2018,32(12): 20-30.
[15]	温孚江 . 大数据农业[M]. 北京: 中国农业出版社, 2015.
	WEN F J . Big data agriculture[M]. Beijing: China Agriculture Press, 2015.
[16]	于丽娜, 张国锋, 贾敬敦 ,等. 基于区块链技术的现代农产品供应链[J]. 农业机械学报, 2017,48(S1): 387-393.
	YU L N , ZHANG G F , JIA J D ,et al. Modern agricultural product supply chain based on block chain technology[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017,48(S1): 387-393.
[17]	The World Bank. Open data for economic growth[R]. 2014.
[18]	罗伯特·托马斯, 马博兰帕特里克· . 大数据产业革命:重构DT时代的企业数据解决方案[M]. 张瀚文,译.. 北京: 中国人民大学出版社, 2015.
	THOMAS R , MCSHARRY P . Big data revolution:what farmers,doctors and insurance agents teach us about discovering big data patterns[M]. Translated by ZHAGN H W. Beijing: China Renmin University Press, 2015.
[19]	Sa?d Business School. PropTech 2020:the future of real estate[R]. 2020.
[20]	仲量联行. 拓宽全球视野,推动科技创新[R]. 2021.
	JLL. Broaden global horizons,promote technological innovation[R]. 2021.
[21]	许小年 . 商业的本质和互联网[M]. 北京: 机械工业出版社, 2020.
	XU X N . The nature of business and the internet[M]. Beijing: China Machine Press, 2020.
[22]	SHAPIRO C , VARIAN H R . Information rules:a strategic guide to the network economy[M]. Boston: Harvard Business School Press, 1998.
[23]	NEGROPONTE N . Being digital[M]. New York: Knopf, 1995.
[24]	蔡曙山 . 论数字化[J]. 中国社会科学, 2001(4): 33-42.
	CAI S S . On digitalization[J]. Social Sciences in China, 2001(4): 33-42.
[25]	World Economic Forum, McKinsey ＆Company. Fourth industrial revolution:beacons of technology and innovation in manufacturing[R]. 2018.
[26]	托尼·海伊, 斯图尔特·坦斯利, 克里斯蒂·托尔 . 第四范式:数据密集型科学发现[M]. 潘教峰,张晓林,译. 北京: 科学出版社, 2012.
	HEY T , TANSLEY S , TOLLE K . The fourth paradigm:data-intensive scientific discovery[M]. Translated by PAN J F,ZHANG X L. Beijing: Science Press, 2012.
[27]	McKinsey Global Institute. The age of analytics:competing in a data-driven w orld[R]. 2016.
[28]	McKinsey Global Institute. Jobs lost,jobs gained:what the future of work will mean for jobs,skills,and wages[R]. 2017.
[29]	REINSEL D , GANTZ J , RYDNING J . Data age 2025:the digitization of the world from edge to core[R]. 2018.
[30]	中国信息通信研究院. 大数据白皮书(2021)[R]. 2021.
	China Academy of Information and Communications Technology. White paper on big data[R]. 2021.
[31]	丁晓东 . 数据交易如何破局:数据要素市场中的阿罗信息悖论与法律应对[J]. 东方法学, 2022(2): 144-158.
	DING X D . Breaking the deadlock of data trading[J]. Oriental Law, 2022(2): 144-158.
[32]	叶雅珍, 刘国华, 朱扬勇 . 数据资产化框架初探[J]. 大数据, 2020,6(3): 3-12.
	YE Y Z , LIU G H , ZHU Y Y . An initial exploration on framework of data assetization[J]. Big Data Research, 2020,6(3): 3-12.
[33]	叶雅珍, 朱扬勇 . 数据资产[M]. 北京: 人民邮电出版社, 2021.
	YE Y Z , ZHU Y Y . Data assets[M]. Beijing: Posts ＆ Telecom Press, 2021.
[34]	朱扬勇, 叶雅珍 . 从数据的属性看数据资产[J]. 大数据, 2018,4(6): 65-76.
	ZHU Y Y , YE Y Z . Defining data assets based on the attributes of data[J]. Big Data Research, 2018,4(6): 65-76.
[35]	NICOLESCU B . Transdisciplinarity:theory and practice[M]. Cresskill: Hampton Press, 2008.
[36]	朱扬勇, 熊贇 . 大数据时代的数据科学家培养[J]. 大数据, 2016,2(3): 106-112.
	ZHU Y Y , XIONG Y . Training data scientists in the era of big data[J]. Big Data Research, 2016,2(3): 106-112.
[37]	GOPAL C . How data culture fuels business value in data-driven organizations[R]. 2021.

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