One thing that seems certain: Data Science is here to stay. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. Events; Blogs and Special Features; JDC Newsletter; Select Page. Paper type: Literature review . DOI: 10.1016/j.jsis.2017.07.003. Big data analytics in healthcare: a systematic literature review Sayantan Khanra a,b, Amandeep Dhir c,d,e, ... Big data provides support for the constantly changing nature of data by offering extensionality (the addition of new data fields) and scalability (expan-sion in size). literature with deploying big data systems in various domain applications, we con-ducted a systematic literature review. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. Therefore, a comprehensive review on clustering algorithms of big data using Apache Spark is needed because it is conducted based on a scientific search strategy. ally through an intensive literature review of pervasive healthcare and big data. Mendeley users who have this article in their library. By Iman Raeesi Vanani and Setareh Majidian. We have selected 23 articles based on the year of publication, the relevance of the journal, the completeness of the text, the nonrepeatability of the title, and the page number. : Big Data in Healthcare Management: A Review of Literature Figure 1. Google trend of big data in healthcare between 2010 and 2015. Home > Books > Social Media and Machine Learning. Exploring big data analytics capabilities for supply chain: a systematic literature review Deepak Arunachalam Sheffield University Management School, Conduit Road, Sheffield, S10 1FL. Advanced search. Paper type: Literature review 1 Introduction In recent years, the notion of “Big Data” (BD) has become increasingly popular in both academic and non-academic media. By identifying the main … (2020). In this paper, we used systematic literature review method and in the first step, we obtained 15 351 articles; then, based on different filters, 48 related articles were attained. John Paul Kawalek Sheffield University Management School, Conduit Road, … making, business process management and big data analytics (BDA). Download Full-Text PDF Cite this Publication. The learning curve for using machine learning methods is rapidly declining, enabling new possibilities for all researchers. 31, No. Originality/value – To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities. Companies are clamoring to hire people with data science skills, and the excitement at data science events like the recent Strata conference in New York is palpable. Building upon the trend toward big data, the number of smart objects equipped with sensors and the capacity to communicate online is expanding at an exponential rate. Big data and quality: A literature review Abstract: Big Data refers to data volumes in the range of Exabyte (10 18) and beyond. The research framework is grounded on past empirical work on IT business value research, and builds on the resource-based view and dynamic capabilities view of the firm. A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018 - Author: Zeeshan Inamdar, Rakesh Raut, Vaibhav S. Narwane, Bhaskar Gardas, Balkrishna Narkhede, Muhittin Sagnak . 355-382. Spark remained a critical tool for data scientists and engineers in 2019. The proposed architec- ture details the nuts and bolts in the domain of big data and pervasive healthcare, which are developed by the identified research themes through the literature review. Big data connects common fields to conjoin different sets. Big Data Analytics: A Literature Review Paper. g) Valence (connectedness). Add to library. In particular, our review uses three major criteria (big-data business model types, dimensions, and deployment) to assess the state of the big-data business model literature and identify shortcomings in this literature. Production Planning & Control: Vol. 2 1 Introduction In recent years, the notion of “Big Data” (BD) has become increasingly popular in both academic and non-academic media. The 3Vs (volume, variety and velocity) are the three best-known defining dimensions of BD. Authors; Authors and affiliations; Nada Elgendy; Ahmed Elragal; Conference paper. Abstract: The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model. To this end, the present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains. To improve the healthcare efficiency, accuracy and quality for people is a main goal set forth by both government and researchers. With characteristics like volume, velocity and variety big data throws challenges to the traditional IT establishments. 78 Citations; 5 Mentions; 4.7k Downloads; Part of the Lecture Notes in Computer Science book series (LNCS, volume 8557) Abstract. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. Introduction Healthcare plays an important role in our societies. Keywords: Big Data, Business Intelligence, systematic literature review, hospitality, tourism. Books and journals Case studies Expert Briefings Open Access. Keywords big data, literature review, health care, data-driven application. The AHP was used, and the experiment was done through the real-world use case. Nikhil Madaan, Umang Kumar, Suman Kr Jha, 2020, Big Data Analytics: A Literature Review Paper, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) ENCADEMS – 2020 (Volume 8 – Issue 10), Open Access ; Article Download / Views: 16. Big data refers to datasets that … In the information era, enormous amounts of data have become available on hand to decision makers. Downloaded: 592. DOI: 10.5772/intechopen.86843. 2019 marked a key year in big data architectures, as organizations moved data into cloud repositories at unprecedented rates. The work presented here identifies gaps in the literature based on a systematic literature review of big data articles with a specific focus on financial management topics. View PDF. Share. In addition, this work explains and analyses different analytic methods and tools that have been applied to big data. Such volumes exceed the capacity of current on-line storage and processing systems. Abstract: Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. Abstract. Conclusion: There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. The authors assess papers listed in the Web of Science index. Submitted: February 18th 2019 Reviewed: May 14th 2019 Published: October 24th 2019. This is achieved by seeking out important themes in the existing research and identify ing gaps that provide opportunities for further research . To the best of our knowledge, no survey has been conducted on Spark-based clustering of Big Data. 2.2. The concept has generated a real buzz, especially on the Internet and social media. Manual exploratory literature reviews should be a thing of the past, as technology and development of machine learning methods have matured. This thesis aims to present a literature review of work on big data analytics, a pertinent contemporary topic which has been of importance since 2010 as one of the top technologies suggested to solve multiple academic, industrial, and societal problems. This section begins with a timeline showing the volume of BD literature over the last decade followed by a thematic classification of the literature and the geographic distribution of its application domains. The concept has generated a real buzz, especially on the Internet and social media. 167 Citations. Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. Literature review and application of comparison of the software architecture analysis method and existing big data reference architecture are found and compared. Given this potential value of big data to development, the review of literature outlined in Section 2 was undertaken and is reported next. 5, pp. The soaring popularity of S3 and other S3-based object stores continued to chip away at on-premise HDFS clusters, which began to look a bit long in the tooth this year. Citations of this article. Background: What is Big Data? Big Data, as well as Big Data Analytics techniques, have been addressed in this context with the possibility of predicting, mapping, tracking, monitoring, and raising awareness about these epidemics and pandemics. In the biomedical informatics domain, big data is a new paradigm and an ecosystem that transforms case-based studies to large-scale, data-d riven research. Results for: Big Data. Debating big data: A literature review on realizing value from big data. Literature Review on Big Data Analytics Methods. email: darunachalam1@sheffield.ac.uk Niraj Kumar Sheffield University Management School, Conduit Road, Sheffield, S10 1FL. Healthcare, big data, literature review, statistical analysis. See more; Journal of Strategic Information Systems (2017) 26(3) 191-209. Günther W; Rezazade Mehrizi M; Huysman M; et al. Access as database; Access as PDF; Publications and Reports; Data Portals and Microdata Libraries; News and Events. The bibliometric analysis was integrated with a literature review.,The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. 58 Senthilkumar SA et al. Authors : Nikhil Madaan, Umang … The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. 1.3k Readers. Literature review of Big Data Analytics in external auditing During the last few years, researchers have produced an impressive amount of general reviews, conceptual and research papers in an attempt to define the concept of BD and Data Analytic tools. Literature Review. Keywords: Big Data, Business Intelligence, systematic literature review, hospitality, tourism. Big Data Analytics: A Literature Review Paper. According to estimates the number of networked devices exceeded the number of people on the planet for the first time in 2011 World Economic Forum 2012, page 47). JDC Literature Review. Companies and industries are faced with a huge amount of raw data, which have information … The systematic literature review helped to clarify each clusters’ content. 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