Big Data Driven Business Models
作者： Vincenzo Morabito , Vincenzo Morabito
DOI: 10.1007/978-3-319-10665-6_4
关键词:
摘要: … the impact of big data on each of the elements as identified in the Business model canvas. Also the chapter discusses the potential of big data for … It also touches upon how big data has …
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sci-hub.se 参考文章(14)
Yves Pigneur, Alexander Osterwalder, Business Model Generation : A Handbook for Visionaries, Game Changers, and Challengers ,(2010)
Gianluigi Viscusi, Carlo Batini, Digital Information Asset Evaluation: Characteristics and Dimensions Lecture Notes in Information Systems and Organisation. pp. 77- 86 ,(2014) , 10.1007/978-3-319-07040-7_9
MaryAnne M. Gobble, Big Data: The Next Big Thing in Innovation Research-technology Management. ,vol. 56, pp. 64- 67 ,(2013) , 10.5437/08956308X5601005
Junwei Yan, Sijin Xin, Quan Liu, Wenjun Xu, Liwen Yang, Li Fan, Bo Chen, Qiang Wang, Intelligent Supply Chain Integration and Management Based on Cloud of Things International Journal of Distributed Sensor Networks. ,vol. 10, pp. 624839- ,(2014) , 10.1155/2014/624839
Peter Bürgi, Bart Victor, Jody Lentz, Modeling how their business really works prepares managers for sudden change Strategy & Leadership. ,vol. 32, pp. 28- 35 ,(2004) , 10.1108/10878570410525106
William Groves, John Collins, Maria Gini, Wolfgang Ketter, Agent-assisted supply chain management: Analysis and lessons learned decision support systems. ,vol. 57, pp. 274- 284 ,(2014) , 10.1016/J.DSS.2013.09.006
Raphael Amit, Christoph Zott, Value creation in E‐business Strategic Management Journal. ,vol. 22, pp. 493- 520 ,(2001) , 10.1002/SMJ.187
Chun-Wei Tsai, Chin-Feng Lai, Ming-Chao Chiang, Laurence T. Yang, Data Mining for Internet of Things: A Survey IEEE Communications Surveys and Tutorials. ,vol. 16, pp. 77- 97 ,(2014) , 10.1109/SURV.2013.103013.00206
David Ticoll, Alex Lowy, Don Tapscott, Digital Capital: Harnessing the Power of Business Webs ,(2000)
Anandhi Bharadwaj, , Omar A. El Sawy, Paul A. Pavlou, N. Venkatraman, , , , Digital Business Strategy: Toward a Next Generation of Insights MIS Quarterly. ,vol. 37, pp. 471- 482 ,(2013) , 10.25300/MISQ/2013/37:2.3