|
|
|
| Big Data Analytics Capability,Collaborative Innovation Capability and Collaborative Innovation Performance |
| Ren Nan1,2,Lu Lijun2,He Mengjiao2 |
1.Research Center of Service Manufacturing Mode and Informationization,Jiangsu University of Science and Technology,Zhenjiang 212003,China;
2.School of Economics and Management, Jiangsu University of Science and Technology,Zhenjiang 212003,China |
|
|
|
|
Abstract To explore the relationship between big data analytics capability of manufacturing enterprises and collaborative innovation among enterprises,this paper establishes a theoretical model among big data analytics capability,collaborative innovation capability and collaborative innovation performance.By the survey from 217 manufacturing enterprises,the theoretical model is empirically studied. The results show that big data analytics capability contains three dimensions:big data tangible resources big data human resources,big data intangible resources.Big data tangible resources have significant and positive effects on big data human resources and big data intangible resources,but big data tangible resources do not show any significant direct effects on collaborative innovation capability or collaborative innovation performance,while having the indirect effects on collaborative innovation capability through big data human resources and big data intangible resources.Big data human resources and big data intangible resources both have the indirect effects on collaborative innovation performance through collaborative innovation capability.Collaborative innovation capability has significant and positive effects on collaborative innovation performance.
|
|
Received: 29 August 2017
|
|
|
|
|
|
[1]陈永平,蒋宁.大数据时代供应链信息聚合价值及其价值创造能力形成机理[J].情报理论与实践,2015,38(7):80-85.
[2]HAZEN B T,SKIPPER J B,EZELL J D,et al.Big data and predictive analytics for supply chain sustainability:a theory-driven research agenda[J].Computers & industrial engineering,2016,101(6):592-598.
[3]GUPTA M,GEORGE J F.Toward the development of a big data analytics capability[J].Information & management,2016,53(8):1049-1064.
[4]张志华,陈向东.企业学习方式、创新能力与创新绩效关系的实证研究[J].系统管理学报,2016,25(5):829-836.
[5]DAVENPORT T H,PATIL D J.Data scientist:the sexiest job of the 21st century[J].Harvard business review,2012,90(10):70-77.
[6]AKTER S,WAMBA S F,GUNASEKARAN A,et al.How to improve firm performance using big data analytics capability and business strategy alignment[J].International journal of production economics,2016,182(12):113-131.
[7]WANG Y,KUNG L,BYRD T A.Big data analytics:understanding its capabilities and potential benefits for healthcare organizations[J].Technological forecasting and social change,2016,26(2):1-11.
[8]LUZZINI D,BRANDON-JONES E,BRANDON-JONES A,et al.From sustainability commitment to performance:the role of intra-and inter-firm collaborative capabilities in the upstream supply chain[J].International journal of production economics,2015,165(7):51-63.
[9]ALTUNTAS S,DERELI T,KUSIAK A.Assessment of corporate innovation capability with a data-mining approach:industrial case studies[J].Computers & industrial engineering,2016,102(6):58-68.
[10]郑刚,朱凌,金珺.全面协同创新:一个五阶段全面协同过程模型——基于海尔集团的案例研究[J].管理工程学报,2008,22(2):24-30.
[11]何郁冰.产学研协同创新的理论模式[J].科学学研究,2012,30(2):165-174.
[12]解学梅,刘丝雨.协同创新模式对协同效应与创新绩效的影响机理[J].管理科学,2015,28(2):27-39.
[13]孙新波,张大鹏,吴冠霖,等.知识联盟协同创新影响因素与绩效的关系研究[J].管理学报,2015,12(8):1163-1171.
[14]WANG N,LIANG H,ZHONG W,et al.Resource structuring or capability building? an empirical study of the business value of information technology[J].Journal of management information systems,2014,29(2):325-367.
[15]谢卫红,刘高,王田绘.大数据能力内涵、维度及其与集团管控关系研究[J].科技管理研究,2016,36(14):170-177.
[16]REHMAN M H U,CHANG V,BATOOL A,et al.Big data reduction framework for value creation in sustainable enterprises[J].International journal of information management,2016,36(6):917-928.
[17]WALKER H,BRAMMER S.The relationship between sustainable procurement and e-procurement in the public sector[J].International journal of production economics,2012,140(1):256-268.
[18]奉小斌,陈丽琼.外部知识搜索能提升中小微企业协同创新能力吗?——互补性与辅助性知识整合的中介作用[J].科学学与科学技术管理,2015,36(8):105-117.
[19]AKHTAR P,TSE Y K,KHAN Z,et al.Data-driven and adaptive leadership contributing to sustainability:global agri-food supply chains connected with emerging markets[J].International journal of production economics,2016,181(11):392-401.
[20]CHEN A,BLUE J.Performance analysis of demand planning approaches for aggregating,forecasting and disaggregating interrelated demands[J].International journal of production economics,2010,128(2):586-602.
[21]SALEHAN M,KIM D J.Predicting the performance of online consumer reviews:a sentiment mining approach to big data analytics[J].Decision support systems,2016,81(1):30-40.
[22]孙金花,杨陈.新视角下IT能力与协同创新绩效作用机理研究[J].华东经济管理,2014,39(12):104-108.
[23]林健,王亚洲.创新资源整合、团队互动与协同创新绩效(下)[J].中国高校科技,2013,23(5):72-74.
[24]BARRATT M,OKE A.Antecedents of supply chain visibility in retail supply chains:a resource-based theory perspective[J].Journal of operations management,2007,25(6):1217-1233.
[25]DUTTA D,BOSE I.Managing a big data project:the case of Ramco cements limited[J].International journal of production economics,2015,165(7):293-306.
[26]KANG K-N,PARK H.Influence of government R&D support and inter-firm collaborations on innovation in Korean biotechnology sems[J].Technovation,2012,32(1):68-78.
[27]谢宗晓,林润辉,李康宏,等.协同对象、协同模式与创新绩效——基于国家工程技术研究中心的实证研究[J].科学学与科学技术管理,2015,36(1):63-74.
[28]司林波.装备制造业技术协同创新运行机制构建[J].科技进步与对策,2017,34(2):72-79.
[29]FAYOUMI A.Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems[J].Computers in industry,2016,80(4):54-68.
[30]路正南,刘春奇,王国栋.光伏产业链协同绩效评价指标体系研究[J].科技与经济,2013,26(1):106-110. |
|
|
|
2018, Vol. 0 
