企业大数据创新能力及作用机理——创新价值链视角

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Abstract Based on the innovation value chain theory,and taking the data value formation as the starting point,we explore the interaction mechanism of big data innovation capability structure and components through multiple cases.Results show the big data innovation capabilities can be deconstructed into three major capabilities named as idea generation,idea conversion and idea diffusion capability and they are linked in sequence to constitute the process of big data innovation and data value formation.The idea generation capability is the ability that enterprise should have when the innovative concept is formed and the value of big date is nurtured,including big data resources,big data mind,perception and recognition and idea conceptualization capability.Idea conversion capability is the ability that enterprises need to transform innovative concepts into specific innovative results and promote the release of data value,including big data management,big data analysis,data linking and fusion ability and organizational change capability.The idea diffusion capability is the ability that enterprise should have when applying innovative results to the market and realizing the date value,including customer value enhancement,customer interaction and digital service capability.The conclusions provide theoretical guidance for the construction of big data innovation capability for enterprise,and also provide inspiration for the practice of big data-driven enterprise innovation.

Key words： Innovation value chain Big data innovation Interaction mechanism

Received: 27 October 2021

PACS:

F273.1

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	Articles by authors
	Liu Xiaoqin
	Wang Nan
	Li Tianzhu

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Liu Xiaoqin,Wang Nan,Li Tianzhu. Enterprise-Level Big Data Innovation Capability and Interaction Mechanism:the Perspective of Innovation Value Chain[J]. , 2022, 3(9): 95-106.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2022/V3/I9/95

[1]WU L,HITT L,LOU B.Data analytics,innovation and firm productivity[J].Management science,2020,66(5):2017-2039.
[2]胡海波,涂舟扬.大数据背景下传统制造企业微创新演化:“江西李渡”和“贵州茅台”双案例研究[J].科技进步与对策,2018,35(3):101-110.
[3]金珺,陈俊滢,张郑熠.现有制造型企业基于大数据的商业模式创新——以中易和为例[J].西安电子科技大学学报(社会科学版),2015,25(2):16-23.
[4]李文博.大数据驱动情景下企业商业模式创新的发生机理——对100个大数据案例的话语分析[J].科技进步与对策,2016,33(7):30-35.
[5]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.
[6]TAN H T,ZHAN Y Z,JI G,et al.Harvesting big data to enhance supply chain innovation capabilities:an analytic infrastructure based on deduction graph[J].Internal journal of production economics,2015,165:223-233.
[7]MUNODAWAFA R T,JOHL S K.Big data analytics capabilities and eco-innovation:a study of energy companies[J].Sustainability,2019:11(15):1-21.
[8]MIKALEFP,BOURA M,LEKAKOS G,et al.Big data analytics capabilities and innovation:the mediating role of dynamic capabilities and moderating effect of the environment[J].British journal of management,2019,30(2):272-298.
[9]LEE H L.Big data and the innovation cycle[J].Production and operations management,2018,27(9):1642-1646.
[10]CHAE B K.A general framework for studying the evolution of the digital innovation ecosystem:the case of big data[J].International journal of information management,2019,45:83-94.
[11]胡振亚,李树业.基于大数据的创新机制研究[J].科学管理研究,2017,35(6):24-27,35.
[12]李天柱,马佳,吕健露,等.大数据价值孵化机制研究[J].科学学研究,2016,34(3):321-329.
[13]王强,王超,刘玉奇.数字化能力和价值创造能力视角下零售数字化转型机制——新零售的多案例研究[J].研究与发展管理,2020,32(6):50-65.
[14]金珺,陈赞,李诗婧.数字化开放式创新对企业创新绩效的影响研究——以知识场活性为中介[J].研究与发展管理,2020,32(6):39-49.
[15]LEONARD-BARTON D.Core capabilities and core rigidity:a paradox in managing new product development[J].Strategic management journal,1992,13(S1):111-126.
[16]官建成,史晓敏.技术创新能力和创新绩效关系研究[J].中国机械工程,2004,15(11):60-64.
[17]CHIESA V,COUGHLAN P,VOSS C A.Development of a technical innovation audit[J].Journal of product innovation management,1996,13(2):105-136.
[18]YAM R M,GUAN J C,PUN K F,et al.An audit of technological innovation capabilities in Chinese firm:some empirical findings in Beijing,China[J].Research policy,2004,33(8):1123-1140.
[19]HANSEN M T,BIRKINSHAW J.The innovation value chain[J].Harvard business review,2007,85(6):121.
[20]SZETO E.Innovation capacity:working towards a mechanism for improving innovation within an inter-organizational network[J].The TQM magazine,2000,12(2):149-157.
[21]ZHAO H,TONG X,WONG P K,et al.Types of technology sourcing and innovative capability:an exploratory study of Singapore manufacturing firms[J].The journal of high technology management research,2005,16(2):209-224.
[22]张军,金露.企业动态能力形成路径研究——基于创新要素及创新层次迁移视角的案例研究[J].科学学研究,2011,29(6),939-948.
[23]李文莲,夏健明.基于“大数据”的商业模式创新[J].中国工业经济,2013(5):83-95.
[24]GUAN J,MA N.Innovative capability and export performance of Chinese firms[J].Technovation,2003,23(9),737-747.
[25]DESS G G,LUMPKIN G T.The role of entrepreneurial orientation in stimulating effective corporate entrepreneurship[J].Academy of management perspective,2005,19(1):147-156.
[26]江兵,徐美波.基于三角模糊数及其贴近度的小微企业创新能力评价[J].中国管理科学,2016,24(S1):685-692.
[27]CHEBBI I,BOULILA W,FARAH I R.Big data:concepts,challenges and applications[J].Computational collective intelligence,2015(9):638-647.
[28]YINR K.Applications of case study research:design and methods[M].Newbury Park,CA:Sage Publications,1984.
[29]EISENHARDTK M,GRAEBNER M E.Theory building from cases:opportunities and challenges[J].The academy of management journal,2007,50(1):25-32.
[30]周涛.为数据而生:大数据创新实践[M].北京:北京联合公司出版,2016.
[31]付登坡,江敏,任寅姿,等.数据中台:让数据用起来[M].北京:机械工业出版社,2020.
[32]桑尼尔·索雷斯.大数据治理[M].北京:清华大学出版社,2014.
[33]刘玉奇,王强.数字化视角下的数据生产要素与资源配置重构研究——新零售与数字化转型[J].商业经济研究,2019(16):5-7.
[34]王洋.基于大数据的现代企业管理模式[J].企业管理,2017(8):122-123.
[35]史雁军.数字化客户管理:数据智能时代如何洞察、连接、转化和赢得客户价值[M].北京:清华大学出版社,2018.