Big Data and the Innovation Cycle

被引:60
作者
Lee, Hau L. [1 ]
机构
[1] Stanford Univ, Grad Sch Business, Stanford, CA 94305 USA
关键词
big data; innovation cycle; supply chain re-engineering; business model innovations; COST;
D O I
10.1111/poms.12845
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Big data and the related methodologies could have great impacts on operations and supply chain management. Such impacts could be realized through innovations leveraging big data. The innovations can be described as first improving existing processes in operations through better tools and methods; second expanding the value propositions through expansive usage or incorporating data not available in the past; and third allowing companies to create new processes or business models to serve customers in new ways. This study describes this framework of the innovation cycle.
引用
收藏
页码:1642 / 1646
页数:5
相关论文
共 17 条
[1]  
[Anonymous], 2017, SOURCING J
[2]  
[Anonymous], 2017, FORBES
[3]  
[Anonymous], 2014, 6 INT C OP SUPPL CHA
[4]  
[Anonymous], 2003, ECONOMIST
[5]   Reducing the cost of demand uncertainty through accurate response to early sales [J].
Fisher, M ;
Raman, A .
OPERATIONS RESEARCH, 1996, 44 (01) :87-99
[6]   Significance and Challenges of Big Data Research [J].
Jin, Xiaolong ;
Wah, Benjamin W. ;
Cheng, Xueqi ;
Wang, Yuanzhuo .
BIG DATA RESEARCH, 2015, 2 (02) :59-64
[7]   The Parable of Google Flu: Traps in Big Data Analysis [J].
Lazer, David ;
Kennedy, Ryan ;
King, Gary ;
Vespignani, Alessandro .
SCIENCE, 2014, 343 (6176) :1203-1205
[8]  
Lee H.L., 2007, INT COMMERCE REV, V7, P61
[9]   Unlocking the value of RFID [J].
Lee, Hau ;
Ozer, Ozalp .
PRODUCTION AND OPERATIONS MANAGEMENT, 2007, 16 (01) :40-64
[10]   Higher supply chain security with lower cost: Lessons from total quality management [J].
Lee, HL ;
Whang, S .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2005, 96 (03) :289-300