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Claudia Ogrean

5. References Bean, R. (2018). How Big Data and AI are driving business innovation in 2018 . MIT Sloan Management Review Webinar. http://newvantage.com/wp-content/uploads/2018/07/MIT-Bean-Webinar-2018-slides-FINAL-071818.pdf . Burris, P. (2018). Wikibon’s 2018 Big Data and Analytics Market Share Report . March 6. https://wikibon.com/wikibons-2018-big-data-analytics-market-share-report/ . Davenport, T. H., Barth, P., & Bean, R. (2012). How’big data’is different . MIT Sloan Management Review. July 30. Dresner Advisory Services, LLC

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Dorina Kabakchieva

://insight.glos.ac.uk/departments/fandp/documents/businessintelligencestrategy.pdf 8. JISC (2011). Business Intelligence: Monitoring Performance and Planning Improvement. (Last visited on 16 December 2014). http://www.jisc.ac.uk/media/documents/publications/briefingpaper/2011/businessintelligence.pdf 9. Infotool Data AB & Dimensional Insight Netherlands. 2014. A University BI-Solution: Better Insight and Control Over Operations, Easy Access for All Users, Reliable and Accessible Information. (Last visited on 18 December 2014). http://www.infotool.se/140528_universitet_folder_lr.pdf?cms_fileid=368e75ee96405118 205c58b756944989

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Igor Perko and Peter Ototsky

okoljske bonitete. Nase Gospodarstvo : NG, 59(1/2), 66-74. 10. Cukier, Kenneth (2014). Big Data and the Future of Business. In F. González (Ed.), Reinventing Company in the Digital Age: BBVA. Retrieved from https://www.bbvaopenmind.com/en/article/big-data-and-the-future-of-business/. 11. Davenport, T. H. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121-131. 12. Drucker, F. Peter. (2002). They're not employees, they're people. Harvard Business Review, 80(2), 70

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Signe Bāliņa, Rita Žuka and Juris Krasts

Glossary, Retrieved Oct. 1, 2015 from http://www.gartner.com/it-glossary/business-intelligence-bi/ Herschel, G., Linden, A., Kart L. (2015) Magic Quadrant for Advanced Analytics Platforms, Gartner, Retrieved Oct. 1, 2015, from http://www.gartner.com/technology/reprints.doid=1-2AHPOU0&ct=150225&st=sb IBM (2015). DB2 for Linux, UNIX and Windows. Retrieved Oct. 1, 2015, from: http://www-01.ibm.com/software/data/db2/linux-unix-windows/warehouse-analytics IBM Corporation (2011) IBM SPSS Modeler 14.2 Modeling Nodes Retrieved Oct

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Claudia Ogrean

5. References Brown, B., Chui, M., & Manyika, J. (2011). Are you ready for the era of ‘big data’. McKinsey Quarterly , 4 (1), 24-35. Burris, P. (2018). Wikibon’s 2018 Big Data and Analytics Market Share Report . March 6. https://wikibon.com/wikibons-2018-big-data-analytics-market-share-report/ . Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences , 275 , 314-347. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and

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Philippe Brion and Emmanuel Gros

5. References Béguin, J.M., V. Hecquet, and J. Lemasson. 2012. “France’s Economic Fabric More Concentrated Than it Seemed. New Definition and New Categories of Enterprises.” Insee-première , 1399. Insee, Paris. Available at http://www.insee.fr/en/ffc/ipweb/ip1399/ip1399.pdf (latest access October 2015). Brion, P. 2007. “Redesigning the French Structural Business Statistics, Using More Administrative Data.” In Proceedings of the Third International Conference on Establishment Surveys, June 18–21, 2007, Montreal, Canada. 533–541. Alexandria, VA [CD

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Gert Buiten, Ger Snijkers, Paulo Saraiva, Johan Erikson, Anna-Greta Erikson and Alice Born

Burden.” In Proceedings of the Fifth International Conference of Establishment Surveys: Statistics (ICESV) Switzerland, 20-23 June, Geneva, Switzerland. Statistics Switzerland. Available at: http://ww2.amstat.org/meetings/ices/2016/proceedings/147_ices15Final00184.pdf (accessed 19 April 2018). Erikson, J. and L. Nordberg. 2000. “Use of Administrative Data as Substitutes for Survey Data for Small Enterprises in the Swedish Annual Structural Business Statistics.” In Proceedings of the Second International Conference of Establishment Surveys (ICESII), Buffalo, NY

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Leandro D’Aurizio and Giuseppina Papadia

References Afonso, L.M. 2015. “Correcting for Attrition in Panel Data Using Inverse Probability Weighting: An application To the EU15 Bank System.” Doctoral dissertation (Lisbon School of Economics and Management, Working Paper) . Available at: https://www.repository.utl.pt/bitstream/10400.5/8155/1/DM-LMA-2015.pdf (accessed January 2019). Ardilly, P. and P. Lavallée. 2007. “Weighting in Rotating Samples: The SILC survey in France.” Survey Methodology 33(2): 131–137. Bank of Italy. 2005. Supplements to the Statistical Bulletin, Sample

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Jaime Campos, Pankaj Sharma, Erkki Jantunen, David Baglee and Luca Fumagalli

. Gehrke, A. Labrinidis, Y. Papakonstantinou, J.M. Patel, R. Ramakrishnan and C. Shahabi, “Big Data And Its Technical Challenges”, Communications Of The ACM, vol. 57, no. 7, pp. 86-94, 2014. [38] P. Folan and J. Browne, “A Review of Performance Measurement: Towards Performance Management”, Computers in Industry, vol. 56, no. 7, pp. 663-680, 2005. [39] N. Venkatraman and J.C. Henderson, ”Business platforms for the 21st Century”, in Mastering Information Management, D.A. Marchand, T.H. Davenport and T. Dickson, Eds. Harlow (FT): Prentince

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Shilpa Balan and Janhavi Rege

.), Compromised Data: From Social Media to Big Data, New York, Bloomsbury, pp. 93-111. 6. Cardon, P. W., Marshall, B. (2015), “The hype and reality of social media use for work collaboration and team communication”, International Journal of Business Communication, Vol. 52 No. 3, pp. 273-293. 7. Cebotarean, E., Titu, M. (2017), “Business Intelligence”, Journal of Knowledge Management, Economics and Information Technology, pp. 1-12. 8. Chesbrough, H. (2003). Open Innovation: The New Imperative for Creating and Profiting from