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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Bibliometric review on human resources management and big data analytics
TL;DR: In this article , the past, present and future trends of HRM through the bibliometric analysis of citation, co-citation, and co-word analysis are evaluated.
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The impact of legacy systems on digital transformation in European public administration: Lesson learned from a multi case analysis
Zahir Irani,Raul-Mario Abril-Jimenez,Vishanth Weerakkody,Amizan Mohamed Omar,Uthayasankar Sivarajah +4 more
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SutteARIMA: A Novel Method for Forecasting the Infant Mortality Rate in Indonesia
TL;DR: In this article , the authors compared the performance of four forecasting methods: ARIMA, Neural Networks Time Series (NNAR), Holt-Winters, and SutteARIMA.
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A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms
TL;DR: A model of churn prediction is created that assists telecom operatives to envisage clients that are more probably to be prone to churn and demonstrates that CNN has a high prediction capability compared to the Random Forest classifier.
Posted Content
The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)
TL;DR: The article demonstrates the importance of grasping these dynamics if the authors want to be able to apprehend what the urban management of tomorrow's cities will be like and proposes grasp the scientific dynamics in areas of research related to two urban systems: transportation and water.
References
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review
TL;DR: The extent to which the process of systematic review can be applied to the management field in order to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research is evaluated.
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review
TL;DR: In this article, the authors evaluate the process of systematic review used in the medical sciences to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research and highlight the challenges in developing an appropriate methodology.
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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.
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Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
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Beyond the hype
Amir H. Gandomi,Murtaza Haider +1 more
TL;DR: The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.