Call for Special Issue Papers: Big Data in Business.

Abstract

Big DataVol. 8, No. 1 Call for PapersFree AccessCall for Special Issue Papers: Big Data in BusinessDeadline for Manuscript Submission: March 20, 2020Guest Editor: Haitham NobaneeGuest Editor: Haitham NobaneeThe University of Oxford, The University of Liverpool, Abu Dhabi UniversitySearch for more papers by this authorPublished Online:14 Feb 2020https://doi.org/10.1089/big.2019.29032.cfp2AboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Big data is a fast-growing field that describes and analyzes huge amounts of structured, semi-structured, or unstructured data that comes from various sources that are vast and complex. It requires advanced analytics applications and sophisticated data-processing software. Big data has revolutionized the way businesses and institutions operate. Business entities from several sizes and sectors are benefiting from big data applications. Business entities revealed such benefits could improve efficiency and increase profitability and growth. Many business entities have several plans for using and implementing big data tools to improve operations, customer satisfaction and loyalty, enhancing corporate governance practices, fighting against fraud, cyber-attacks, money laundry, and other financial crimes. Big data has many other applications in business. This special issue is devoted to publishing high-quality papers that involve theoretical and practical aspects related to big data in business. Reviews on this topic are also welcome.Topics of interest for this special issue include, but are not limited to:The use of big data in business, marketing, finance, and accountingBig data and machine learning in business decision-making and performance evaluationBig data and enterprise risk managementBig data and corporate governanceBig data in marketing, promotions, and social networkingBig data in supply chain managementBig data and predictive algorithms in business, marketing, finance, and accountingBig data and business ethicsBig data and investment decisionsThe use of big data in financial institutions and marketsThe uses of big data in anti-financial crimes such as fraud and money laundry detection.Big data and online shopping.Monetizing big data for dynamic advertisementBig data and customer engagementBig data, machine-to-machine (M2M) analytics to improve product life-cycle managementBig data, automation, and internal efficiencyThe use of big data to compete, capture, innovate, and improve competitive advantageThe use of big data in creating new revenue streamsBig data and credit analysisBig data and insuranceBig data, business lending, and FinTechAll manuscripts should be submitted via the online submission system of Big Data. The Instructions for Authors can be found at www.liebertpub.com/big. The reviewing and selection of papers will be carried out in accordance with the standards of the journal.Submit your paper for peer review online: https://mc.manuscriptcentral.com/bigFiguresReferencesRelatedDetails Volume 8Issue 1Feb 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Guest Editor: Haitham Nobanee.Call for Special Issue Papers: Big Data in Business.Big Data.Feb 2020.1-1.http://doi.org/10.1089/big.2019.29032.cfp2Published in Volume: 8 Issue 1: February 14, 2020PDF download