Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives

RY Zhong, ST Newman, GQ Huang, S Lan - Computers & Industrial …, 2016 - Elsevier
Data from service and manufacturing sectors is increasing sharply and lifts up a growing
enthusiasm for the notion of Big Data. This paper investigates representative Big Data …

Big data analytics and big data science: a survey

Y Chen, H Chen, A Gorkhali, Y Lu, Y Ma… - Journal of Management …, 2016 - Taylor & Francis
Big data has attracted much attention from academia and industry. But the discussion of big
data is disparate, fragmented and distributed among different outlets. This paper conducts a …

E-business, organizational innovation and firm performance in manufacturing SMEs: an empirical study in Spain

P Soto-Acosta, S Popa… - … Development of Economy, 2016 - Taylor & Francis
This paper extends previous studies on the organizational impact of Internet technologies by
analyzing factors affecting e-business use and its effect on organizational innovation in …

Big data reduction framework for value creation in sustainable enterprises

MH ur Rehman, V Chang, A Batool, TY Wah - International journal of …, 2016 - Elsevier
Value creation is a major sustainability factor for enterprises, in addition to profit
maximization and revenue generation. Modern enterprises collect big data from various …

Forecasting supply chain resilience performance using grey prediction

R Rajesh - Electronic Commerce Research and Applications, 2016 - Elsevier
New digital technologies have empowered companies to make use of tools to produce
insights for key supply chain processes. Resilience, the property of supply chains to respond …

Real-time business activity monitoring and analysis of process performance on big-data domains

A Vera-Baquero, R Colomo-Palacios… - Telematics and Informatics, 2016 - Elsevier
Real-time access to business performance information is critical for corporations to run a
competitive business and respond to a continuously changing business environment with …

Efficient alignment between event logs and process models

W Song, X Xia, HA Jacobsen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The aligning of event logs with process models is of great significance for process mining to
enable conformance checking, process enhancement, performance analysis, and trace …

Big data and strategy: a research framework

P Mikalef, PO Ilias, M Giannakos, J Krogstie, G Lekakos - 2016 - aisel.aisnet.org
With big data growing rapidly in importance over the past few years', academics and
practitioners have been considering the means through which they can incorporate the shifts …

IT innovation strategy: managing the implementation communication and its generated knowledge through the use of an ICT tool

JFL Olivo, JG Guzmán, R Colomo-Palacios… - Journal of Knowledge …, 2016 - emerald.com
Purpose Without effective implementation, no information technology (IT) strategy can
succeed. There has been much re-search into IT planning, but few studies have developed …

基于内容挖掘的国际大数据研究主题分析

董克, 陶艳 - 图书情报知识, 2016 - cqvip.com
大数据是当前高速发展的新领域, 也是广受关注的研究热点之一O 本文以WOS
数据库中大数据研究论文为分析对象, 利用斯坦福主题模型工具包对大数据研究的内容进行了 …