Journal ArticleDOI
How 'big data' can make big impact: findings from a systematic review and a longitudinal case study
Samuel Fosso Wamba,Samuel Fosso Wamba,Shahriar Akter,Andrew Edwards,Geoffrey Chopin,Denis Gnanzou +5 more
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In this paper, the authors present an interpretive framework that analyzes the definitional perspectives and the applications of big data and provide a general taxonomy that helps broaden the understanding of Big Data and its role in capturing business value.About:
This article is published in International Journal of Production Economics.The article was published on 2015-07-01. It has received 997 citations till now. The article focuses on the topics: Business value & Big data.read more
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Intelligent Manufacturing in the Context of Industry 4.0: A Review
TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
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Industry 4.0 technologies: Implementation patterns in manufacturing companies
TL;DR: The findings show that Industry 4.0 is related to a systemic adoption of the front-end technologies, in which Smart Manufacturing plays a central role, and the implementation of the base technologies is challenging companies, since big data and analytics are still low implemented in the sample studied.
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Big data analytics and firm performance: Effects of dynamic capabilities
Samuel Fosso Wamba,Angappa Gunasekaran,Shahriar Akter,Steven Ji-fan Ren,Rameshwar Dubey,Stephen J. Childe +5 more
TL;DR: The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER and confirm the strong mediating role of PODC in improving insights and enhancing FPER.
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The expected contribution of Industry 4.0 technologies for industrial performance
Lucas Santos Dalenogare,Guilherme Brittes Benitez,Néstor Fabián Ayala,Alejandro Germán Frank +3 more
TL;DR: In this article, the authors studied how the adoption of different Industry 4.0 technologies is associated with expected benefits for product, operations and side-effects aspects in the Brazilian industry.
Journal ArticleDOI
Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
TL;DR: The historical development, architectural design and component functionalities of big data analytics, including analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability and traceability are examined.
References
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Book
Case Study Research: Design and Methods
TL;DR: In this article, buku ini mencakup lebih dari 50 studi kasus, memberikan perhatian untuk analisis kuantitatif, membahas lebah lengkap penggunaan desain metode campuran penelitian, and termasuk wawasan metodologi baru.
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Building theories from case study research.
TL;DR: In this paper, the authors define a leadership event as a perceived segment of action whose meaning is created by the interactions of actors involved in producing it, and present a set of innovative methods for capturing and analyzing these contextually driven processes.
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The case research strategy in studies of information systems
TL;DR: Criteria for the evaluation of case research are established and several characteristics useful for categorizing the studies are identified and examples of research areas that are particularly well-suited to investigation using the case research approach are concluded.
Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Journal ArticleDOI
Business intelligence and analytics: from big data to big impact
TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.