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
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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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Reflections on societal and business model transformation arising from digitization and big data analytics
Claudia Loebbecke,Arnold Picot +1 more
TL;DR: A critical research agenda is outlined to explore and conceptualize evident changes in business models and society arising from these technological advances and the potential effects of digitization and big data analytics on employment - especially in the context of cognitive tasks.
Proceedings ArticleDOI
No "power" struggles: coordinated multi-level power management for the data center
TL;DR: This paper proposes and validate a power management solution that coordinates different individual approaches and performs a detailed quantitative sensitivity analysis to draw conclusions about the impact of different architectures, implementations, workloads, and system design choices.
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Big Data-Survey
P. S. G. Aruna Sri,M. Anusha +1 more
TL;DR: An observation on Hadoop architecture, different tools used for big data and its security issues, and how to reduce spot business patterns, anticipate diseases, conflict etc., is observed.
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Applications of big data to smart cities
TL;DR: The review reveals that several opportunities are available for utilizing big data in smart cities; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology.
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What can big data and text analytics tell us about hotel guest experience and satisfaction
TL;DR: In this paper, the authors apply a text analytical approach to a large quantity of consumer reviews extracted from Expedia.com to deconstruct hotel guest experience and examine its association with satisfaction ratings.