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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Big Data and Transformational Government
TL;DR: A model is presented that illustrates how big data can result in transformational government through increased efficiency and effectiveness in the delivery of services through the use of big data.
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Evaluating the use and impact of Web 2.0 technologies in local government
TL;DR: The study concludes that a combined analysis of the evaluation and impact assessment factors, rather than one particular approach would better assist decision makers when implementing Web 2.0 technologies for use by public administration employees.
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Using big data to improve customer experience and business performance
TL;DR: It is shown how innovation from Alcatel-Lucent and Bell Labs helps CSPs improve their business performance, using unique methodology designed to select the right key quality indicators, build accurate key business objective “formula,” predict customer behavior, and ultimately understand which factors are influencing the most.
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Analysing supply chain integration through a systematic literature review: a normative perspective
Muhammad Kamal,Zahir Irani +1 more
TL;DR: In this paper, the authors focus on systematically analyzing and synthesizing the extant research published on supply chain integration (SCI) area, given the significance of SCI research area, and aim to answer three questions: "Q1 -What are the factors (e.g. both driving and inhibiting) that influence SCI?", "Q2 - What are the key developments in SCI area?
Book
IT Savvy: What Top Executives Must Know to Go from Pain to Gain
Peter Weill,Jeanne W. Ross +1 more
TL;DR: Weill and Ross as discussed by the authors describe the practices, competencies, and leadership skills non-IT managers need to succeed in the digital economy and discover how to define their firm's operating model-how IT can help you do business -Revamp your IT funding model to support your operating model.