2,320
Views
40
CrossRef citations to date
0
Altmetric
Original Articles

Business Analytics-Based Enterprise Information Systems

, &

References

  • IDC. 2013. IDC Predictions 2014: Battles for dominance — and survival — on the 3rd platform. Dec 2013. [Online]. Available: http://www.idc.com/getdoc.jsp?containerId=244606. [Accessed 13 2 2014].
  • Liebowitz J. 2014. Business analytics and decision-making: The years ahead. World Financial Rev. 28 May 2014. http://www.worldfinancialreview.com/?p=1904
  • Vesset D, McDonough B, Schubmehl D, Wardley M. 2013. Worldwide business analytics software 2013–2017 Forecast and 2012 vendor shares (Doc # 241689),” 6 2013. [Online]. Available: http://www.idc.com/getdoc.jsp?containerId=241689. [Accessed 28 6 2014].
  • Holsapplea C, Lee-Postb A, Pakath R. 2014. A unified foundation for business analytics. Decis Support Syst. 64:130–141.
  • van der Meulen R, Rivera J. 2014. Gartner says worldwide business intelligence and analytics software market grew 8% in 2013,” 29 4 2014. [Online]. Available: http://www.gartner.com/newsroom/id/2723717. [Accessed 28 6 2014].
  • McKinsey. 2014. The digital tipping point: McKinsey Global Survey results. June 2014. [Online]. Available: http://www.mckinsey.com/insights/business_technology/the_digital_tipping_point_mckinsey_global_survey_results. [Accessed 1 7 2014].
  • Laudon KG, Laudon KC. 2012. Management information systems: Managing the digital firm (12th Ed). Harlow, England: Pearson.
  • Liebowitz J. 2013. Big data and business analytics. Hoboken: CRC Press.
  • Sun Z, Strang K, Yearwood J. Analytics service oriented architecture for enterprise information systems. In Proceedings of iiWAS2014, CONFENIS 2014, 4–6 Dec 14, Hanoi, 2014.
  • McFedries P. 2013. Excel data analysis: Yoru visual blueprint for analyzing data, charts, and pivotTables (4th edition). Indianapolis, IN: Visual.
  • Norusis MJ. 1997. SPSS: SPSS 7.5 guide to data analytics.Upper Saddle River, NJ: Prentice Hall.
  • Azvine B, Nauck D, Ho C. 2003. Intelligent business analytics — A tool to build decision-support systems for eBusinesses. BT Technol J. 21:65–71.
  • Kauffman RJ. Srivastava J. Vayghan J. 2012. Business and data analytics: New innovations for the management of e-commerce. Electron Commer Res Appl. 11:85–88.
  • Delena D, Demirkanb H. 2013. Data, information and analytics as services. Decis Support Sys. 55:359–363.
  • Turban E, Volonino L. 2011. Information technology for management: Improving strategic and operational performance (8th Edition). Danvers, MA: Wiley & Sons.
  • Sun Z, Finnie G. 2004/2010. Intelligent techniques in E-Commerce: A Case-based reasoning perspective. Heidelberg Berlin: Springer-Verlag.
  • Deakin. 2014. Business analytics. 2014. [Online]. Available: http://www.deakin.edu.au/study-at-deakin/find-a-course/business-analytics. [ Accessed 28 6 2014].
  • Chen CP, Zhang C-Y. 2014. Data-intensive applications, challenges, techniques and technologies: A survey on big data. Inf Sci. 275:314–347.
  • Coronel C, Morris S, Rob P. 2015. Database systems: Design, implementation, and management (11th edition). Boston: Course Technology, Cengage Learning.
  • Sun Z, Yearwood J. 2014. A theoretical foundation of demand-driven web services. In Demand-Driven web services: Theory, technologies, and applications, IGI-Global, 1–25.
  • Schneider GP. 2013. Electornic commerce (10th Edition). Australia: Coourse Technology Cengage Learning.
  • Lau RY, Li and C, Liao SS. 2014. Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analytics. Decis Support Sys. 65:80–94.
  • Chaffey D. 2011. Business information management (2nd Edn). Harlow England: Prentice Hall.
  • Phillips J. 2013. Building a digital analytics organization. Financial Times Press. 7–8.
  • Kambatla K, Kollias G, Kumar V, Grama A. 2014. Trends in big data analytics. J Parallel Distrib Comput. 74:2561–2573.
  • Betser J. Belanger D. 2013. Architecting the enterprise with big data analytics. In big data and business Analytics, Boca Raton, FL, CRC Press. 1–20.
  • Beal V. 2014. Big data analytics. [Online]. Available: http://www.webopedia.com/TERM/B/big_data_analytics.html. [Accessed 20 8 2014].
  • Minelli M, Chambers M, Dhiraj A. 2013. Big data, big analytics: Emerging business intelligence and analytic trends for today’s businesses. Wiley & Sons (Chinese Edition 2014).
  • Kroenke D, Bunker D, Wilson D. 2014. Exerperiencing MIS (3rd Edition). Australia: Person.
  • Brust A. 2013. Gartner releases 2013 BI Magic Quadrant. [Online]. Available: http://www.zdnet.com/gartner-releases-2013-bi-magic-quadrant-7000011264/. [Accessed 14 2 2014].
  • IDC. 2015. Big data & analytics.2015. [Online]. Available: https://www.idc.com/prodserv/4Pillars/bigdata. [Accessed 1 8 2015].
  • National Reserch Council. 2013. Frontiers in massive data analysis. Washington: The National Research Press.
  • Papazoglou MP. 2008. Web services: Principles and technology. Harlow, England: Pearson Prentice Hall.
  • Sun Z, Dong D. Yearwood J. 2011. Demand driven web services. In service intelligence and service science: Evolutionary technologies and challenges, Hershey PA, IGI Global, 35–55.
  • Tabein R, Moghadasi M, Khoshkbarforoushha A. 2008. Broker-based Web service selection using learning automata. In 2008 International Conference on Service Systems and Service Management, June July 2008, 1–6, 2008.
  • Demirkan H, Delen D. 2013. Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decis. Support Sys. 55, 1, 412–421.
  • Loukis E, Pazalos K, Salagara A. Transforming e-services evaluation data into business analytics using value models. Electronic Commerce Research and Applications, vol. 11, no. 2, pp. 129–141, 2012.
  • Laudon KC, Traver CG. 2013. E-Commerce 2013: Business, technology, society. Harlow, England: Pearson.
  • Park J, Kim J, Koh J. 2010. Determinants of continuous usage intention in web analytics services. Electron Commer Res Appl. 9:61–72.
  • Erikson GS, Rothberg HN. 2013. Competitors, intelligence, and big data. In big data and business analytics, Boca Raton, FL: CRC Press.
  • Laudon K, Laudon J. 2012. Management information systems-managing the dgital firm. Boston: Person.
  • Kreger H. 2001. Web services conceptual architecture (WSCA 1.0) [Online]. Available: http://www.cs.uoi.gr/~zarras/mdw-ws/WebServicesConceptualArchitectu2.pdf. [Accessed 27 8 2013].
  • Papazoglou MP. 2003. Service -oriented computing: Concepts, characteristics and directions. In Proceedings of 4th Intl Conf on web information systems engineering (WISE2003). 3–12.
  • Papazoglou MP, and Georgakopoulos D. 2003. Service-orented computing. Commun ACM 46:25–28.
  • Dietrich D. 2013. Big data analytics. EMC Academic Alliance, [Online]. Available: https://www.youtube.com/watch?v=d1PHKCc1fog. [Accessed 3 2 2014].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.