|
|
Research on the Influence Mechanism of Big Data Capability on Green Competitiveness of Manufacturing Industry from the Perspective of Environmental Dynamics:based on SBM-GML Index Model |
Li Jinke1,Zhang Rong1,Li Bojun2 |
(1.School of Business,Qingdao University,Qingdao 266100,China;2.School of Economics, Ocean University of China,Qingdao 266100,China) |
|
|
Abstract With the rise of digital economy, big data shows great potential in reducing environmental costs and improving organizational efficiency.By selecting the SBM-GML model with unexpected output,this paper estimates the green competitiveness of 50 listed manufacturing enterprises from 2014 to 2019.The impact of big data capability on green competitiveness and the moderating role of environmental dynamics are analyzed with the Stata16 software.Research shows that:big data strategic planning ability and data analysis ability have significant positive effect on green competitiveness.Big data management ability of non high-tech manufacturing industry in the current period and lag period improves the level of green competitiveness, while big data management ability of high-tech manufacturing industry in the current period and lag period has no significant effect on green competitiveness.At the same time,environmental dynamics plays a positive moderating role in the relationship between big data strategic planning ability,big data management ability and green competitiveness,but the moderating effect on big data analysis ability and green competitiveness is not significant.
|
Received: 10 May 2021
|
|
|
|
|
[1] JAMES M,MICHAEL C,BRAD B,et al.Big data:the next frontier for innovation,competition,and productivity[R].McKinsey Global Institute,2011.[2] 李永红,张淑雯.大数据驱动传统产业转型升级的路径:基于大数据价值链视角[J].科技管理研究,2019,39(7):156-162.[3] 徐国虎,田萌.大数据系统实施对企业绩效影响的实证研究[J].科技进步与对策,2017,34(16):98-105.[4] 王才.数字化转型对企业创新绩效的作用机制研究[J].当代经济管理,2021,43(3):34-42.[5] LAVALLE S,LESSER E,SHOCKLEY R,et al.Big data,analytics and the path from insights to value[J].MIT Sloan Management Review,2011,52(2):21-31.[6] 戚聿东,肖旭.数字经济时代的企业管理变革[J].管理世界,2020,36(6):135-152,250.[7] 程刚,李敏.企业大数据能力培育机制研究[J].现代情报,2014,34(3):7-11.[8] 曹亚东,王梦杰.动态机制下企业大数据能力绩效作用研究[J].物流科技,2020,43(7):24-27.[9] SCHRYEN G.Revisiting IS business value research:what we already know,what we still need to know,and how we can get there[J].European Journal of Information Systems,2013,22(2):139-169.[10] MIKALEF P,KROGSTIE J,PAPPAS I O,et al.Exploring the relationship between big data analytics capability and competitive performance:the mediating roles of dynamic and operational capabilities[J].Information & Management,2020,57(2):103169.[11] 李向阳.大数据技术应用对上市公司绩效影响的实证分析[J].东岳论丛,2021,42(1):117-124.[12] 许芳,田萌,徐国虎.大数据应用能力对企业创新绩效的影响研究:供应链协同的中介效应与战略匹配的调节效应[J].宏观经济研究,2020,42(3):101-119.[13] ZHANG Y F,REN S,LIU Y,et al.A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products[J].Journal of Cleaner Production,2017,142:626-641.[14] WU J,GUO S,LI J,et al.Big data meet green challenges:big data toward green applications[J].IEEE Systems Journal,2016,10(3):888-900.[15] 陈志军,徐鹏,唐贵瑶.企业动态能力的形成机制与影响研究:基于环境动态性的调节作用[J].软科学,2015,29(5):59-62,86.[16] EISENHARDT K M,MARTIN J A.Dynamic capabilities:what are they[J].Strategic Management Journal,2000,21(10-11):1105-1121.[17] LI D Y,LIU J.Dynamic capabilities,environmental dynamism,and competitive advantage:evidence from China[J].Journal of Business Research,2014,67(1):2793-2799.[18] CHEN D Q,PRESTON D S,SWINK M.How the use of big data analytics affects value creation in supply chain management[J].Journal of Management Information Systems,2015,32(4):4-39.[19] LI Y,DAI J,CUI L.The impact of digital technologies on economic and environmental performance in the context of industry 4.0:a moderated mediation model[J].International Journal of Production Economics,2020,229:107777.[20] 孙丽文,任相伟.企业绿色转型驱动因素及作用机理研究:跨层交互因素的整合分析框架[J].管理现代化,2020,40(2):67-70.[21] 徐宗本,冯芷艳,郭迅华,等.大数据驱动的管理与决策前沿课题[J].管理世界,2014,30(11):158-163.[22] 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,2020,37(5):42-60.[23] 池毛毛,叶丁菱,王俊晶,等.我国中小制造企业如何提升新产品开发绩效:基于数字化赋能的视角[J].南开管理评论,2020,23(3):63-75.[24] BELHADI A,KAMBLE S S,ZKIK K,et al.The integrated effect of Big Data Analytics,Lean Six Sigma and Green Manufacturing on the environmental performance of manufacturing companies:the case of North Africa[J].Journal of Cleaner Production,2020,252:119903.[25] 李鹏升,陈艳莹.环境规制、企业议价能力和绿色全要素生产率[J].财贸经济,2019,40(11):144-160.[26] 虞义华,赵奇锋,鞠晓生.发明家高管与企业创新[J].中国工业经济,2018,35(3):136-154.[27] 曾德明,周蓉,陈立勇.环境动态性、资本结构与公司绩效关系的研究[J].财经研究,2004,30(3):67-74,84.[27] 陈钰芬,侯睿婕.中国制造业分行业研发资本存量的估算[J].科学学研究,2019,37(9):1570-1580.[29] 戚聿东,蔡呈伟.数字化对制造业企业绩效的多重影响及其机理研究[J].学习与探索,2020(7):108-119.[30] 郭家堂,骆品亮.互联网对中国全要素生产率有促进作用吗[J].管理世界,2016,32(10):34-49. |
|
|
|