Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
Citations
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Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices
TL;DR: In this article, the authors developed and tested a holistic model that depicts and examines the relationships among green innovation, its drivers, as well as factors that help overcome the technological challenges and influence the performance and competitive advantage of the firm.
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A survey towards an integration of big data analytics to big insights for value-creation
Mandeep Kaur Saggi,Sushma Jain +1 more
TL;DR: This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies and presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city.
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Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
TL;DR: In this article, the authors investigated the role of Artificial Intelligence (AI) in the construction of sustainable business models (SBMs) and provided a quantitative overview of the academic literature that constitutes the field.
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Big data analytics as an operational excellence approach to enhance sustainable supply chain performance
TL;DR: In this paper, the authors used dynamic capability theory as a foundation for evaluating the role of BDA capability as an operational excellence approach in improving sustainable supply chain performance, and identified two pathways that managers can use to improve sustainable supply-chain outcomes in the mining industry based on big data analytics capabilities.
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Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities
TL;DR: In this article, the authors employed institutional theory and resource-based view theory to elucidate the way in which automotive firms configure tangible resources and workforce skills to drive technological enablement and improve sustainable manufacturing practices and furthermore develop circular economy capabilities.
References
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Journal ArticleDOI
A systematic assessment of the empirical support for transaction cost economics
Robert J. David,Shin-Kap Han +1 more
TL;DR: In this paper, the authors take stock of the large body of extant research and provide a systematic assessment of empirical evidence and conclude that a more thorough empirical grounding of the theory's foundation is crucial to its future development, and offer several strategies for doing this.
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Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology
TL;DR: This article deconstructs the ideological grounds of datafication, a ideology rooted in problematic ontological and epistemological claims that shows characteristics of a widespread secular belief in the context of a larger social media logic.
Book
Competing on Analytics: The New Science of Winning
TL;DR: In this paper, Davenport and Harris argue that the frontier for using data to make decisions has shifted dramatically, and that highperforming enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results.
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Challenges and opportunities with big data
TL;DR: The controversies and myths surrounding Big Data are explored, to try to explore the controversies and debunk the myths around Big Data.
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Big data analytics in logistics and supply chain management: Certain investigations for research and applications
TL;DR: In this article, the authors classify the literature on the application of big data business analytics (BDBA) on logistics and supply chain management (LSCM) based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations).