Big data and analytics: Strategic and organizational impacts

Big Data and Analytics: Strategic and Organizational Impacts

Volumn , Issue , 2015, Pages 1-183

  Morabito, Vincenzo ^a  

^a BOCCONI UNIVERSITY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION; REVIEWS;

BUSINESS OPPORTUNITIES; CHANGE MANAGEMENT; COMPETITIVE ADVANTAGE; CONSUMER PROFILING; MARKET SEGMENTATION; ORGANIZATIONAL IMPACTS; STRATEGIC IMPACTS; STRATEGIC ISSUES;

BIG DATA;

EID: 84943777788     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-10665-6     Document Type: Book

References (402)

1. Agrawal, D., Das, S., El Abbadi, A.: Big data and cloud computing: new wine or just new bottles? Proc. VLDB Endow. 3, 1647-1648 (2010)
2. Agrawal, D., Das, S., El Abbadi, A.: Big Data and Cloud Computing: Current State and Future Opportunities. EDBT, ACM. pp. 530-533. March 22-24, Sweden (2011)
3. Burton, R.M., Mastrangelo, D., Salvador F.(eds.): Big data and organization design. J. Organ. Des. 3(1), (2014)
4. Cabinet Office UK: Open Data White Paper-Unleashing the Potential. (2012)
5. Davenport, T.H., Barth, P., Bean, R.: How “big data” is different. MIT Sloan Manag. Rev. 54(1), 43-46 (2012)
6. Davenport, T.H., Patil, D.J.: Data scientist: The sexiest job of the 21st century. Harv. Bus. Rev. October, (2012)
7. Dean, J., Ghemawat, S.: MapReduce: Simplified data processing on large clusters. Commun. ACM. 51(1), 1-13 (2008)
8. Di Maio, A.: Gartner open government maturity model. Gartner (2010)
9. Dumbill, E.: Making sense of big data (editorial). Big Data. 1(1), 1-2 (2013)
10. Feller, J., Finnegan, P., Nilsson, O.: Open innovation and public administration: Transformational typologies and business model impacts. Eur. J. Inf. Syst. 20, 358-374 (2011). doi: 10.1057/Ejis.2010.65
11. Han, J., Haihong, E., Le, G., Du, J.: Survey on NoSQL database. 6th International Conference on Pervasive Computing and Applications (ICPCA). pp. 363-366 (2011). doi: 10.1109/ICPCA.2011.6106531
12. Huang, K.T., Lee, Y., Wang, R.Y.: Quality, information and knowledge. Prentice-Hall, Inc (1999)
13. IBM, Zikopoulos, P., Eaton, C.: Understanding Big Data: Analytics for Enterprise Class Hadoop and streaming data, 1st edn. McGraw-Hill Osborne Media (2011)
14. IBM: What is big data?, http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html. Accessed 7 Jan 2015
15. Lavalle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big Data, Analytics and the Path From Insights to Value. MIT Sloan Manag. Rev. 52(2), (2011)
16. Lee, G., Kwak, Y.H.: An open government maturity model for social media-based public engagement. Gov. Inf. Q. 29(4), 492-503 (2012)
17. Madnick, S.E., Wang, R.Y., Lee, Y.W., Zhu, H.: Overview and Framework for Data and Information Quality Research. J. Data Inf. Qual. 1, 1-22 (2009). doi: 10.1145/1515693.1516680
18. McAfee, A., Brynjolfsson, E.: Big data: The management revolution. Harv. Bus. Rev. 61-68 (2012)
19. Morabito, V.: Big data. Trends and Challenges in Digital Business Innovation, pp. 3-21 Springer, Cham Heidelberg New York Dordrecht London (2014)
20. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer (2014)
21. Nam, T.: Citizens’ attitudes toward open government and government. Int. Rev. Adm. Sci. 78(2), 346-368 (2012)
22. Piccoli, G., Pigni, F.: Harvesting external data: The potential of digital data streams. MIS Q. Exec. 12(1), 143-154 (2013)
23. Pospiech, M., Felden, C.: Big data-A State-of-the-Art. AMCIS 2012. (2012)
24. Strauch, C.: NoSQL databases. Lect. Notes Stuttgart Media. 1-8 (2010)
25. Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. J. Manag. Inf. Syst. 12(4), 5-33 (1996)
26. Zuiderwijk, A., Janssen, M., Choenni, S.: Open Data Policies: Impediments and Challenges. 12th European Conference on eGovernment (ECEG 2012). pp. 794-802, Barcelona, Spain (2012)
27. Adamson, B., Dixon, M., Toman, N.: The end of solution sales. Harv. Bus. Rev. 90, 60-70 (2012)
28. Armstrong, D., Ma, M.: Researcher controls colleague’s motions in 1st human brain-to-brain interface. http://www.washington.edu/news/2013/08/27/researcher-controls-colleagues-motionsin-1st-human-brain-to-brain-interface/(2014). Accessed 15 Nov 2014
29. Asos: Asos discover fashion online. https://marketplace.asos.com/(2012)
30. Innocentive: AstraZeneca Challenge: Targeted delivery of oligonucleotides. https://www.innocentive.com/ar/challenge/9933013 (2014). Accessed 15 Nov 2014
31. Bricker & Eckler: Board Demographics: compare your board’s composition in terms of age, gender, and ethnicity. http://www.acredula.com/details.aspx?id=105 (2014). Accessed 15 Nov 2014
32. Brumley, J.: Google just became a real problem for online travel agents. http://investorplace.com/2014/04/goog-stock-google-travel-booking/#.VCPn_Pl_veg (2014). Accessed 15 Nov 2014
33. Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19, 171-209 (2014)
34. Chesbrough, H.: Open Innovation: The New Imperative for Creating and Profiting from Technology Xerox Parc: The Achievements and Limits of Closed Innovation, pp. 1-10. Harvard Business School Press, Boston (2003)
35. Chesbrough, H.W.: The era of open innovation. MIT Sloan Manag. Rev. 44, 9 (2003)
36. Choi, H., Varian, H.: Predicting the Present with trends. Econ. Rec. 88, 2-9 (2012)
37. Comer, B.: After delays, project datasphere rolls out. http://blog.pharmexec.com/2014/04/09/afterdelays-project-datasphere-rolls-out/(2014). Accessed 15 Nov 2014
38. Davenport, T.H., Patil, D.J.: Data scientist: the sexiest job of the 21st century. Harv. Bus. Rev. 90, 70-76 (2012)
39. Dignan, L.: IBM’s watson unit invests in fluid, eyes personal shopping applications. http://www.zdnet.com/ibms-watson-unit-invests-in-fluid-eyes-personal-shopping-applications-7000028580/(2014). Accessed 15 Nov 2014
40. Drnevich, P.L., Croson, D.C.: Information technology and business-level strategy: toward an integrated theoretical perspective. MIS Q. 37, 483-509 (2013)
41. Fine, C.H., Vardan, R., Pethick, R., El-hout, J.: Rapid-response capability in value-chain design. Sloan Manag. Rev. 43, 69-75 (2002)
42. Gardner, J.: Who owns big data: The CMO or CIO?. http://www.wired.com/2013/06/who-ownsbig-data-the-cmo-or-cio/(2014). Accessed 15 Nov 2014
43. Griggs, B.: The CNN 10: future of driving (2014)
44. Guinard, D., Trifa, V.: Towards the web of things: web mashups for embedded devices. In: International world wide web conferences, pp. 1-8 (2009)
45. Hafkesbrink, J., Schroll, M.: Innovation 3.0: embedding into community knowledge-collaborative organizational learning beyond open innovation. J. Innov. Econ. 7, 55 (2011)
46. Hagen, C., Ciobo, M., Wall, D., Yadav, A., Khan, K., Miller, J., Evans, H.: Big data and the Creative Destruction of Today’s Business Models, pp. 1-18. Kearney Publishing, Chicago (2013)
47. Harvard Innovation Lab: What is experfy?. https://www.experfy.com/(2014). Accessed 15 Nov 2014
48. Hine, C.: Virtual ethnography. In: Fielding, N., Lee, R.M., Blank, G. (eds.) The Sage Handbook of Online Research Methods, p. 179. Sage, London (2000)
49. Im, J., Kim, S., Kim, D.: IoT mashup as a service: Cloud-based mashup service for the internet of things. In: Proceedings-IEEE 10th international conference on services computing, SCC 2013, pp. 462-469 (2013)
50. Junqué de Fortuny, E., Martens, D., Provost, F.: Predictive modeling with big data: is bigger really better? Big Data. 1, 215-226 (2013)
51. Kaplan, W.A., Wirtz, V.J., Stephens, P.: The market dynamics of generic medicines in the private sector of 19 low and middle income countries between 2001 and 2011: a descriptive time series analysis. PLoS ONE 8, e74399 (2013)
52. Kearney, A.: Big data and the creative destruction of today’s business models-strategic IT article-A.T. Kearney (2014)
53. Kickstarter.: http://www.kickstarter.com (2014). Accessed 15 Nov 2014
54. KPMG: Brand and ownership concentration in the European automotive industry (2010)
55. Lankhorst, M.H.R., Ketelaars, B.W.S.M.M., Wolters, R.A.M.: Low-cost and nanoscale nonvolatile memory concept for future silicon chips. Nat. Mater. 4, 347-352 (2005)
56. Lappin, J.: Groupon, Down 40 % in 2014, finally does something for shareholders. http://www.forbes.com/sites/joanlappin/2014/05/05/groupon-down-40-in-2014-finally-does-somethingfor-shareholders/(2013). Accessed 15 Nov 2014
57. Lappin, J.: Deduced reckoning is assembling the mosaic! http://www.forbes.com/sites/joanlappin/2011/02/04/deduced-reckoning-is-assembling-the-mosaic/(2011). Accessed 15 Nov 2014
58. Lavalle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big data, Analytics and the Path From Insights to Value. MIT Sloan Manag. Rev. 52(2), 21-31 (2011)
59. Lerman, J.: Big data and its exclusions. Stanf. Law Rev. 55, 55-63 (2013)
60. Lesk, M.: Big data, big brother, big money. IEEE Secur. Priv. 11, 85-89 (2013)
61. Life Sciences Consortium (LSC): Project data sphere, project data sphere. Accessed 15 Nov 2014
62. Living Social: Livingsocial https://www.livingsocial.com (2014). Accessed 15 Nov 2014
63. lixpen.com: LIX-The smallest 3D printing pen in the world. https://www.kickstarter.com/projects/lix3d/lix-the-smallest-3d-printing-pen-in-the-world (2014). Accessed 15 Nov 2014
64. Michael, K., Miller, KW.: Big data: new opportunities and new challenges. Computer 46, 22-24. Long Beach, California (2013)
65. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer International Publishing, New York (2014)
66. Neiger, C.: 5 Future car technologies that truly have a chance. http://auto.howstuffworks.com/under-the-hood/trends-innovations/5-future-car-technologies.htm#page=0 (2014). Accessed 15 Nov 2014
67. O’Brien, D.P.: Markets and hierarchies: analysis and antitrust implications (book review). Econ. J. 86, 619-621 (1976)
68. Paharia, R.: Loyalty 3.0: How to Revolutionize Customer and Employee Engagement with Big Data and Gamification. McGraw Hill Professional, New York (2013)
69. Pellegrino Blog: Generic drug shortage limits affordable cancer treatment options. http://www.pellegrinoandassociates.com/generic-drug-shortage-limits-affordable-cancer-treatment-options/(2014). Accessed 15 Nov 2014
70. Porter, M.E.: Competitive Advantage: Creating and Sustaining Superior Performance. The Free Press, New York (1985)
71. Provost, F., Fawcett, T.: Data science and its relationship to big data and data-driven decision making. Data Sci. Big Data. 1, 51-59 (2013)
72. Raice, S., Woo, S.: Groupon’s Boston problem: copycats. http://online.wsj.com/news/articles/SB10001424052702303763404576420090000910026 (2011). Accessed 15 Nov 2014
73. Ratti, C.: Forget flying cars. Smart cities just need smart citizens. http://www.archdaily.com/author/carlo-ratti/(2014). Accessed 15 Nov 2014
74. Schüll, N.D.: Obamacare meets wearable technology. http://m.technologyreview.com/view/526576/obamacare-meets-wearable-technology/(2014)
75. Schultz, T.: Turning healthcare challenges into big data opportunities: a use-case review across the pharmaceutical development lifecycle. Bull. Am. Soc. Inf. Sci. Technol. 39, 34-40 (2013)
76. Schumpeter, J.A.: The Theory of Economic Development: An Inquiry Into Profits, Capital, Credit, Interest, and the Business Cycle. Harvard University Press, Cambridge (1934)
77. Shah, S.: Big data will go mainstream when nanotechnology is embedded into humans, says Skype CISO. In: Computing, 26 Apr 2013, http://www.computing.co.uk/(2013). Accessed 7 Jan 2015
78. Styles, K.: Groupon adds location-based deals for mobile users. http://mobilemarketingmagazine.com/groupon-adds-location-based-deals-mobile-users/(2014). Accessed 15 Nov 2014
79. Taylor, W.C., LaBarre, P.G.: Mavericks at Work: Why the Most Original Minds in Business Win. HarperCollins, New York (2008)
80. Townsend, A.: A manifesto for smart city development. http://www.theeuropean-magazine.com/anthony-townsend-2/8244-a-manifesto-for-smart-city-development (2013)
81. Verganti, R.: Design driven innovation. Harv. Bus. Sch. 40, 288 (2009)
82. Werbach, K., Mehta, A.: The spectrum opportunity: sharing as the solution to the wireless crunch. Int. J. Commun. 8, 22 (2014)
83. Wu, M.: Towards a stakeholder perspective on competitive advantage. Int. J. Bus. Manag. 8, 20-29 (2013)
84. Yipit: Yipit has every deal in your city. http://www.yipit.com (2014). Accessed 15 Nov 2014
85. Zaslow, J.: If TiVo thinks you are gay, here’s how to set it straight. http://online.wsj.com/articles/SB1038261936872356908 (2014). Accessed 15 Nov 2014
86. Alehegn, T.: Crisis mapping and collaboration between Western and African ICT developers for Haiti quake. http://www.tadias.com/01/19/2010/crisis-mapping-and-collaboration-betweenwestern-and-african-ict-developers-for-haiti-quake-response/(2010). Accessed 15 Nov 2014
87. Al-khouri, A.M.: Data ownership: who owns “my data”? Int. J. Manag. Inf. Technol. 2, 1-8 (2012)
88. Bain, M.: Sentilo-sensor and actuator platform for smart cities. https://joinup.ec.europa.eu/community/eupl/document/sentilo-sensor-and-actuator-platform-smart-cities (2014). Accessed 15 Nov 2014
89. Bentley, R.A., O’Brien, M.J., Brock, W.: A: mapping collective behavior in the big-data era. Behav. Brain Sci. 37, 63-76 (2014)
90. Brabham, D.C.: The public participation process for planning projects. Plan. Theor. 8, 242-262 (2009)
91. City Council: Mobile digital ID for Barcelona citizens. http://www.mobileid.cat/en (2014). Accessed 15 Nov 2014
92. Clark, B.Y., Brudney, J.L., Jang, S.-G.: Coproduction of government services and the new information technology: investigating the distributional biases. Public Adm. Rev. 73, 687-701 (2013)
93. CitySourced Inc.: Citysourced. http://www.citysourced.com (2014). Accessed 15 Nov 2014
94. Conservative Party: Building a big society. London, UK (2010)
95. Crawford, K.: The hidden biases in big data. http://blogs.hbr.org/2013/04/the-hidden-biases-inbig-data/(2013). Accessed 15 Nov 2014
96. Danova, T.: The internet of everything. http://www.businessinsider.com/the-internet-ofeverything-2014-slide-deck-sai-2014-2?op=1 (2014). Accessed 15 Nov 2014
97. Davenport, T.H., Prusak, L.: Information Ecology: Mastering the Information and Knowledge Environment. Oxford University Press, New York (1997)
98. de Campos, A.: Literature on university-industry links: towards an integrated approach in the study of influencing factors. Merit. Unu. Edu. 44, 0-32 (2008)
99. Dent, S.M.: Partnership Relationship Management (2006)
100. Department for business innovation and skills: global innovators: international case studies on smart cities smart cities study (2013)
101. Evans-Cowley, J.: Crowdsourcing the curriculum: public participation in redesigning a planning program. Soc. Sci. Res. Netw. Work. Pap. Ser. (2011)
102. Executive Office of the President of USA: Big data. Seizing Opportunities. Washington, D.C. (2014)
103. Gangadharan, S.P.: How can big data be used for social good? http://www.theguardian.com/sustainable-business/how-can-big-data-social-good (2013)
104. Gudipati, B.M., Rao, S., Mohan, N.D., Gajja, N.K.: Big data: testing approach to overcome quality challenges structured testing technique. Infosys Labs Briefings 11, 65-73 (2013)
105. Hoffman, S., Podgurski, A.: The use and misuse of biomedical data: is bigger really better? Am. J. Law Med. 39, 497-538 (2013)
106. Howarth, B.: Big data: how predictive analytics is taking over the public sector. http://www.theguardian.com/technology/2014/jun/13/big-data-how-predictive-analytics-is-taking-overthe-public-sector (2014)
107. IQ Analytics: big data training a priority for the public sector. http://www.itqanalytics.com/community/blog/big-data-training-a-priority-for-the-public-sector#.VDJhABbILcs (2014). Accessed 15 Nov 2014
108. Junqué de Fortuny, E., Martens, D., Provost, F.: Predictive modeling with big data: is bigger really better? Big Data 1, 215-226 (2013)
109. Kaggle Inc.: The home of data science. http://www.kaggle.com (2014). Accessed 15 Nov 2014
110. Kemp, S.: Social, Digital and mobile around the world. http://wearesocial.sg/blog/2014/01/socialdigital-mobile-2014/(2014). Accessed 15 Nov 2014
111. Kerr, I., Earle, J.: Prediction, preemption, presumption how big data threatens big picture privacy. Stanf. Law Rev. 66, 65 (2013)
112. Laney, D.: Who owns (really owns) “Big Data”. http://blogs.gartner.com/doug-laney/who-ownsreally-owns-big-data/(2014). Accessed 15 Nov 2014
113. Lerman, J.: Big data and its exclusions. Stanford Law Rev. Online. 66, 55-63 (2013)
114. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, Washington, DC (2011)
115. McDermott, P.: Building open government. Gov. Inf. Q. 27, 401-413 (2010)
116. Meier, P.: How crisis mapping saved lives in Haiti. http://newswatch.nationalgeographic.com/2012/07/02/crisis-mapping-haiti (2012). Accessed 15 Nov 2014
117. Microsoft: City deploys big data bi solution to improve lives and create a smart-city template. http://www.microsoft.com/casestudies/Microsoft-Excel-2010/City-of-Barcelona/City-Deploys-Big-Data-BI-Solution-to-Improve-Lives-and-Create-a-Smart-City-Template/710000003415 (2014). Accessed 15 Nov 2014
118. Miller, H.E.: Big-data in cloud computing: a taxonomy of risks. Inf. Res. 18, 571 (2013)
119. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer International Publishing, New York (2014)
120. Mostashari, A., Arnold, F., Maurer, M., Wade, J.: Citizens as sensors: the cognitive city paradigm. International Conference & Expo on Emerging Technologies for a Smarter World, pp. 1-5. IEEE (2011)
121. Nagy-Rothengass, M.: European Activities in the Area of Big Data. META-Forum, p. 27. Berlin (2013)
122. Nelson, S., Milberry, K., Richardson, J., Martin, M., Thomson, K.: PartyX. http://partyx.ca/(2015). Accessed 8 Jan 2015
123. Newsom, G., Goldberg, K.: Let’s amplify California’s collective intelligence. http://citris-uc.org/lets-amplify-californias-collective-intelligence-op-ed-ken-goldberg-gavin-newsom-californiareport-card/(2014). Accessed 15 Nov 2014
124. OGP: Open Government Partnership. http://www.opengovpartnership.org (2014). Accessed 15 Nov 2014
125. Page Group: Public sector salary survey: insight and trends. http://www.michaelpage.co.uk/salarysurvey/public-sector.htm#salary-results (2014). Accessed 15 Nov 2014
126. Parker, L.: Cuts mean a smaller public service must be smarter. http://www.governmentnews.com.au/2014/06/cuts-mean-smaller-public-service-must-smarter (2014). Accessed 15 Nov 2014
127. Pinsent Masons LLP: Calls for EU public private “Big Data” partnership. http://www.out-law.com/articles/2013/november/calls-for-eu-public-private-big-data-partnership/(2013). Accessed 15 Nov 2014
128. SeeClickFix: Report neighborhood issues and see them get fixed. www.SeeClickFix.com (2014) Accessed 15 Nov 2014
129. Stefan, R., Kisker, H.: Sizing the cloud. http://www.forrester.com/Sizing+The+Cloud/fulltext/-/ERES58161 (2011). Accessed 15 Nov 2014
130. The National Cycling Charity: Fill that hole. http://www.fillthathole.org.uk (2014). Accessed 15 Nov 2014
131. The Weather Channel Inc: Weather underground. http://www.wunderground.com(2014).Accessed 15 Nov 2014
132. Thomas, J.C.: Citizen, customer, partner: what should be the role of the public in public management. Public Adm. Rev. 73, 786-796 (2013)
133. United Nations Department of Economic and Social Affairs: World Urbanization Prospects: The 2005 Revision (2006)
134. United Nations Publication: e-Government and New Technologies: Towards better citizen engagement for development. Geneva, Switzerland (2010)
135. URBACT: Smart cities: Citizen innovation in smart cities. http://urbact.eu/en/projects/innovationcreativity/smart-cities/homepage/(2012). Accessed 15 Nov 2014
136. USGS: DYFI background-the science behind the maps. http://earthquake.usgs.gov/research/dyfi/(2014). Accessed 15 Nov 2014
137. Uyarra, E., Edler, J., Garcia-Estevez, J.: Barriers to innovation through public procurement: a supplier perspective. Technovation 34(10) 631-645 (2014). doi: 10.1016/j.technovation.2014.04.003
138. Vicini, S., Sanna, A.: How to co-create Internet of things-enabled services for smarter cities. The First International Conference on Smart Systems, Devices and Technologies, pp. 55-61. Stuttgart, Germany (2012)
139. Vienna University of Technology: European smart cities 3.0. http://www.smart-cities.eu/(2014). Accessed 15 Nov 2014
140. Warner, J.: Next steps in e-government. In: Proceedings of the 12th Annual International Digital Government Research Conference on Digital Government Innovation in Challenging Times-dg.o ’11, p. 177. ACM Press, New York, USA (2011)
141. Yiu, C.: The big data opportunity-making government faster, smarter and more personal, Policy exchange. London, UK (2012)
142. Zhang, L., Mitton, N.: Advanced Internet of things. 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 1-8 (2011)
143. Zhang, W., Chen, Q.: From E-government to C-government via cloud computing. 2010 International Conference on E-Business and E-Government, pp. 679-682. IEEE (2010)
144. Barabási, A.-L.: Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life (2003)
145. Berger, R.: Why should I take this MOOC anyway?, http://dlmooc.deeper-learning.org/about/whyshould-i-take-this-mooc-anyway/(2014). Accessed 16 Nov 2014
146. Boyd, D.: Streams of content, limited attention: The flow of Information through social media. Educ. Rev. 45, 26-36 (2010)
147. Campbell, B.J.P., Deblois, P.B., Oblinger, D.G.: Academic Analytics A New Tool for A New Era. Educ. Rev. 42(4), 40-57 (2007)
148. Charlton, P., Mavrikis, M.: The Potential of Learning Analytics and Big data. Ariadne. (2013)
149. Coursera, http://www.coursera.org. Accessed 16 Nov 2014
150. Crosslin, M.: Designing a Dual Layer cMOOC/xMOOC, http://www.edugeekjournal.com/2014/05/04/designing-a-dual-layer-cmoocxmooc/(2014). Accessed 16 Nov 2014
151. Crowley, J.: cMOOCs: Putting Collaboration First, http://campustechnology.com/Articles/2013/08/15/cMOOCs-Putting-Collaboration-First.aspx?Page=1, (2013). Accessed 16 Nov 2014
152. Davidson, C.: Major Players in the MOOC Universe, http://chronicle.com/article/The-Major-Players-in-the-MOOC/138817/. Accessed 16 Nov 2014
153. Dellarocas, C.: Money Models for MOOCs. Commun. ACM 56, 25-28 (2013)
154. edX, http://www.edx.org. Accessed 16 Nov 2014
155. Executive Office of the President of USA: Big data: Seizing Opportunities., Washington, D.C. (2014)
156. Fournier, H., Kop, R., Sitlia, H.: The value of learning analytics to networked learning on a personal learning environment. Proceedings of the 1st International Conference on Learning Analytics and Knowledge-LAK’11. p. 104 (2011)
157. García, O.A., Secades, V.A.: Big data and learning analytics: A potential way to optimize elearning technological tools. Proceedings of the International Conference e-Learning 2013. pp. 313-317 (2013)
158. Gartner: Business Model Innovation Examples in Education (2013)
159. Global Industry Analysts: E-Learning: A Global Strategic Business Report, http://www.strategyr.com/eLEARNING_Market_Report.asp (2014)
160. Goldberg, C.: Auditing Classes at M.I.T., on the Web and Free, http://www.nytimes.com/2001/04/04/us/auditing-classes-at-mit-on-the-web-and-free.html (2001). Accessed 16 Nov 2014
161. Guri-Rosenblit, S.: Digital technologies in higher education: Sweeping expectations and actual effects (2010)
162. Harvard University: HarvardX, http://harvardx.harvard.edu/. Accessed 16 Nov 2014
163. Kop, R.: The challenges to connectivist learning on open online networks: Learning experiences during a massive open online course. Int. Rev. Res. Open Distance Learn. Distance Learn. 12, 19-38 (2011)
164. Laurillard, D.: Five myths about Moocs, http://www.timeshighereducation.co.uk/comment/opinion/five-myths-about-moocs/2010480.article (2014). Accessed 16 Nov 2014
165. Livemocha, http://livemocha.com/. Accessed 16 Nov 2014
166. Liyanagunawardena, T.R., Adams, A.A., Williams, S.A.: MOOCs: A systematic study of the published literature 2008-2012. Int. Rev. Res. Open Distance Learn. 14, 202-227 (2013)
167. Marques, J.: A short history of MOOCs and distance learning, http://moocnewsandreviews.com/ashort-history-of-moocs-and-distance-learning/#ixzz36icU7Crp (2013). Accessed 16 Nov 2014
168. Massachusetts Institute of Technology: OCW is accessed by a broadly international population of educators and learners., http://ocw.mit.edu/about/site-statistics/. Accessed 16 Nov 2014
169. Miniwatts Marketing Group: Internet Usage Statistics, http://www.internetworldstats.com/stats.htm. Accessed 16 Nov 2014
170. Morrison, D.: How NOT to Design a MOOC: The Disaster at Coursera and How to Fix it, http://onlinelearninginsights.wordpress.com/2013/02/01/how-not-to-design-a-mooc-the-disaster-atcoursera-and-how-to-fix-it/(2013). Accessed 16 Nov 2014
171. Ottmann, T.: MOOCs and/or eLectures; a means of virtualizing university education? Information Technology Based Higher Education and Training (ITHET), 2013. International Conference on. pp. 1-6 (2013)
172. P2PU, https://p2pu.org/en/. Accessed 16 Nov 2014
173. Siemens, G.: What are Learning Analytics?, http://www.elearnspace.org/blog/2010/08/25/whatare-learning-analytics/(2010). Accessed 16 Nov 2014
174. Summary, E., Findings, I., Among, D., Statistics, D.: HarvardX and MITx: The First Year of Open Online Courses. (2013)
175. TIME Staff: Livemocha, http://content.time.com/time/specials/packages/article/0,28804,2012721_2012929_2012923,00.html (2010). Accessed 16 Nov 2014
176. The Economist explains: The backlash against big data, http://www.economist.com/blogs/economist-explains/2014/04/economist-explains-10 (2014). Accessed 16 Nov 2014
177. Udacity, http://www.udacity.com. Accessed 16 Nov 2014
178. Udemy, http://www.udemy.com. Accessed 16 Nov 2014
179. Virtonomics, http://virtonomics.com. Accessed 16 Nov 2014
180. Watters, A.: Top Ed-Tech Trends of 2013: MOOCs and Anti-MOOCs, http://hackeducation.com/2013/11/29/top-ed-tech-trends-2013-moocs/(2013). Accessed 16 Nov 2014
181. Watters, A.: Venture Capital and the Future of Open Education: FWK and MOOCs, https://www.insidehighered.com/blogs/hack-higher-education/venture-capital-and-future-open-educationfwk-and-moocs#ixzz36n6Kaqch (2012). Accessed 16 Nov 2014
182. Wilby, P.:Moocs, and theman leading theUK’s charge, http://www.theguardian.com/education/2014/aug/19/moocs-man-leading-uk-foray-simon-nelson-futurelearn (2014). Accessed 16 Nov 2014
183. Yeager, C., Hurley-Dasgupta, B., Bliss, C.: cMOOCs and global learning: An authentic alternative. J. Asynchronous. Learn. Netw. 17(2), 133-147 (2013)
184. Yuan, B.L., Powell, S., Olivier, B.: Beyond MOOCs: Sustainable Online Learning in Institutions Beyond MOOCs: Sustainable Online Learning in Institutions. (2014). Accessed 16 Nov 2014
185. Yuan, L., Powell, S.: MOOCs and Open Education: Implications for Higher Education. JISC-Cetis (2013)
186. Amit, R., Zott, C.: Value creation in E-business. Strateg. Manage. J. 22, 493-520 (2001)
187. Baden-Fuller, C., Morgan, M.S.: Business models as models. Long Range Plann. 43, 156-171 (2010)
188. Bharadwaj, A., Sawy, OA., El-Pavlou, PA., Venkatraman, N: Digital business strategy: toward a next generation of insights. MIS Q., 37, 471-482 (2013)
189. BlaBlaCar: http://www.blablacar.com/(2014). Accessed 16 Nov 2014
190. Bürgi, P., Victor, B., Lentz, J.: Modeling how their business really works prepares managers for sudden change. Strateg. Leadersh. 32, 28-35 (2004)
191. Butler, S.: Ten thingsChristmas taught us about theUKretail revolution. http://www.theguardian.com/business/2014/jan/12/10-things-christmas-taught-us-about-uk-retail-revolution (2014). Accessed 16 Nov 2014
192. Card, J.: Bitcoin: a beginner’s guide for entrepreneurs. http://www.theguardian.com/smallbusiness-network/2014/oct/17/-beginners-guide-for-entrepreneurs (2014). Accessed 16 Nov 2014
193. Chua, F.: Big data: its power and perils. IMA-ACCA. www.accaglobal.com/bigdata (2013). Accessed 16 Nov 2014
194. Dias, C.: Industry insights: management accountants’ role with big data. http://www.cimaglobal.com/Thought-leadership/Newsletters/Regional/The-CIMA-Edge-South-Asia-and-Middle-East/2013/December-2013/Industry-insights-Management-Accountants-Role-in-Internet-of-Everythingand-Big-Data/(2013). Accessed 16 Nov 2014
195. Don, T., David T., Alex L.: Digital capital: harnessing the power of business webs (2000)
196. Duplat, M., Vercauteren, L.: Ban on Distribution of Certain Financial Products in Belgium. White & Case LLP, Belgium (2014)
197. EY: Big data-changing the way businesses compete and operate. EYGM Limited, UK (2014)
198. Fakto, S.: Never sell data. http://www.forbes.com/sites/stevefaktor/2014/03/25/never-sell-data/(2014). Accessed 16 Nov 2014
199. Feuilherade, P.: Personal systems herald “smart mobility”. http://www.iec.ch/etech/2014/etech_0314/ind-1.htm, (2014). Accessed 16 Nov 2014
200. Fretty, P.: Merging crowdsourcing with big data analytics. http://www.big-dataforum.com/302/merging-crowdsourcing-big-data-analytics#sthash.cby7c3Bk.dpu (2014). Accessed 16 Nov 2014
201. Gereports: Big data meets 3-D printing: big data to monitor laser-printed jet engine parts. http://www.gereports.com/post/77209216443/big-data-meets-3-d-printing-big-data-to-monitor (2013). Accessed 16 Nov 2014
202. Gobble, M.M.: Resources: big data: the next big thing in innovation. Res. Manage. 56, 64-67 (2013)
203. Grepper, R.: Coolest cooler: 21st century cooler that’s actually cooler. https://www.kickstarter.com/projects/ryangrepper/coolest-cooler-21st-century-cooler-thats-actually (2014). Accessed 16 Nov 2014
204. Groves, W., Collins, J., Gini, M., Ketter, W.: Agent-assisted supply chain management: Analysis and lessons learned. Decis. Support Syst. 57, 274-284 (2014)
205. Hagen, C., Ciobo, M., Wall, D., Yadav, A., Khan, K., Miller, J., Evans, H.: Big data and the Creative Destruction of Today’s Business Models. AT Kearney Publishing, Chicago 1-18 (2013)
206. Introducing SILVIA. http://silvia4u.info/silvia/(2014). Accessed 16 Nov 2014
207. Jeffries, A.: Kickstarter is not a store, except when it is. http://www.theverge.com/2013/4/17/4230440/kickstarter-is-not-a-store-except-when-it-is (2013). Accessed 16 Nov 2014
208. Kaggle Inc.: The home of data science. http://www.kaggle.com (2014). Accessed 16 Nov 2014
209. Malle, J.-P.: Big data: farewell to cartesian thinking? http://www.paristechreview.com/2013/03/15/big-data-cartesian-thinking/(2013). Accessed 16 Nov 2014
210. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. bitcoin.org. October 2008. https://bitcoin.org/bitcoin.pdf (2014). Accessed 16 Nov 2014
211. Offsey, S.: Micro-segmentation in the age of big data. http://marketbuildr.com/blog/segmentationin-the-age-of-big-data/(2014). Accessed 16 Nov 2014
212. Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, New Jersey (2010)
213. Osterwalder, A., Pigneur, Y., Tucci, C.: Clarifying business models: origins, present, and future of the concept. Commun. Assoc. Inf. Syst. 16, 1-25 (2005)
214. Riedy, C.: The sharing economy spooking big business. Conversat. Trust. http://theconversation.com/the-sharing-economy-spooking-big-business-19541 (2014). Accessed 16 Nov 2014
215. Spigitengage. http://www.mindjet.com/spigitengage/(2014). Accessed 16 Nov 2014
216. Tsai, C.-W., Lai, C.-F., Chiang, M.-C., Yang, L.T.: Data mining for Internet of things: a survey. IEEE Commun. Surv. Tutor. 16, 77-97 (2014)
217. Turner, D.: CIOs must reinvent their businesses on three levels: Hung LeHong. http://www.ibmbigdatahub.com/blog/cios-must-reinvent-their-businesses-three-levels-hung-lehong (2013). Accessed 16 Nov 2014
218. Viscusi, G., Batini, C.: Digital information asset evaluation: characteristics and dimensions. In: Caporarello, L., Di Martino, B., Martinez M. (eds.) Smart Organizations and Smart Artifacts SE-9, vol. 7, pp. 77-86. Springer International Publishing (2014). doi:10.1007/978-3-319-07040-7_9
219. Wagle, L.: How big data helps banks personalize customer service. http://www.forbes.com/sites/ibm/2014/06/16/how-big-data-helps-banks-personalize-customer-service/(2014). Accessed 16 Nov 2014
220. Yan, J., Xin, S., Liu, Q., Xu, W., Yang, L.: Intelligent supply chain integration and management based on cloud of things. Int. J. Distrib. Sens. Netw. 624839, 1-15 (2014) doi: http://dx.doi.org/10.1155/2014/624839
221. Zage, D., Glass, K., Colbaugh, R.: Improving supply chain security using Big data. In: 2013 IEEE International Conference on Intelligence and Security Informatics. IEEE, pp. 254-259 (2013)
222. Ballard, C., Compert, C., Jesionowski, T., Milman, I., Plants, B., Rosen, B., Smith, H.: Information Governance Principles and Practices for a Big Data Landscape. IBM (2014)
223. Batini, C., Scannapieco, M.: Data Quality: Concepts, Methodologies and Techniques. Springer, Heidelberg (2006)
224. Bertot, J.C., Choi, H.: Big data and e-government: issues, policies, and recommendations. In: The Proceedings of the 14th Annual International Conference on Digital Government Research, pp. 1-10 (2013)
225. Best Practice Guideline: Big Data. A guide to maximising customer engagement opportunities through the development of responsible big data strategies (2013)
226. Big Data Governance is Key to Harnessing Insight from Big Data. http://www.firstsanfranciscopartners.com/practices/big-data/big-data-governance/(2014). Accessed 16 Nov 2014
227. Big Data Now: 2012 Edition. O’Reilly (2012)
228. Bonenfant, M., Ménard, M., Mondoux, A., Ouellet, M.: Big data and governance. Research Group on Information and Surveillance in Daily Life, GRICIS Research Centre of the University of Québec, Montréal (2012)
229. Cline, J.S.: The promise of data-driven care. N. C. Med. J. 75(3), 178-182 (2014)
230. Craig, F.C.T., Ludloff, M.: Privacy and Big Data. O’Reilly Media, Sebastopol, CA (2011)
231. Data, B., et al.: Australian Public Service Better Practice Guide for Big Data and Big Data Analytics (2013)
232. Data Governance Institute (DGI). http://www.datagovernance.com/adg_data_governance_definition/(2014). Accessed 16 Nov 2014
233. Debra Logan: What is information governance? And why is it so hard? http://blogs.gartner.com/debra_logan/2010/01/11/what-is-information-governance-and-why-is-it-so-hard/, (2010). Accessed 16 Nov 2014
234. Dyche, J.: The Intersection of Big Data, Data Governance and MDM (2012)
235. Eisenhauer, J.A., Young, R.: Big Data. 3Sage Consulting Company, Atlanta (2012)
236. Fischer, U.: Big Data: Impact, Benefits, Risk and Governance. Fischer IT GRC Consulting & Training Group, Wettingen, CH (2013)
237. Franks, B.: Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics. Wiley and SAS Business Series. Wiley, Hoboken, New Jersey (2012)
238. Huang, K., Lee, Y., Wang, R.Y.T.: Quality, Information and Knowledge. Prentice-Hall, Inc., Upper Saddle River (1999)
239. Hurwitz, J., et al.: Big Data for Dummies. Wiley, Hoboken (2013)
240. Interview: The Need For Big Data Governance. http://timoelliott.com/blog/2014/01/interview-theneed-for-big-data-governance.html, (2014). Accessed 16 Nov 2014
241. Jee, K., Kim, G.-H.: Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthc. Inform. Res. 19(2), 79-85 (2013)
242. Krishnan, K.: Data Warehousing in the Age of Big Data. Elsevier, Amsterdam (2013)
243. Kruger, K., Foster, J.: Big Data Governance. ISACA SA 2013 Annual Conference, Johannesburg, SA (2013)
244. Michael, K., Miller, K.W.: Big data: new opportunities and new challenges. Computer 46(6), 22-24 (2013)
245. Mohanty, S., Jagadeesh, M., Srivatsa, H.: Big Data Imperative: Enterprise ‘Big Data’ Warehouse, ‘BI’ Implementations and Analytics. Apress, New York (2013)
246. Morabito, V.: Big Data. Trends and Challenges in Digital Business Innovation, pp. 3-21. Springer, Heidelberg (2014a)
247. Morabito, V.: Social Listening. Trends and Challenges in Digital Business Innovation SE, pp. 67-87. Springer International Publishing, Heidelberg (2014b)
248. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer International Publishing, Heidelberg (2014c)
249. Mouthaan, N.: Effects of big data analytics on organizations’ value creation. University of Amsterdam (2012)
250. NASCIO: Data Governance: Managing Information as an Enterprise Asset Part I-An Introduction, 859 (2008)
251. NASCIO: Data Governance Part II: Maturity Models-A Path to Progress, USA (2009)
252. Newman, D., Logan, D.: Gartner Introduces the EIM Maturity Model (2008)
253. Oklahoma Office of Management and Enterprise Services: Oklahoma Interoperability Grant Data Roadmap (2013)
254. Oracle: Enterprise information Management: Best Practices in Data Governance, Oracle Inc. (2011)
255. Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2, 1, 3 (2014)
256. Russom, P.: The Four Imperatives of Data Governance Maturity. TDWI Monograph (2008)
257. Russom, P.: Managing big data. TDWI Research. TDWI Best Practices Report (2013)
258. Santovena, A.Z.: Big data: evolution, components, challenges and opportunities. http://hdl.handle.net/1721.1/80667, (2013). Accessed 16 Nov 2014
259. Sathi, A.: Big Data Analytics: Disruptive Technologies for Changing the Game. MC Press, Boise, ID, USA (2012)
260. Soares, S.: Big Data Governance. Information Asset, LLC (2012)
261. Soares, S.: A Platform for Big Data Governance and Process Data Governance. MC Press Online, LLC, Boise, ID, USA (2013)
262. Steele, J., Nash, C.: Ethics of Big Data. O’Reilly, Sebastopol, CA (2012)
263. Tallon, P.P.: Corporate governance of big data: perspectives on value, risk, and cost. Computer 46 (6):32-38 (2013)
264. TDWI Blog Contributors, Crossing The Chasm Part 1: Delivering Strategic Value. http://tdwi.org/blogs/wayne-eckerson/2009/10/chasm-1.aspx (2014). Accessed 16 Nov 2014
265. Tsai, J.Y. et al.: The effect of online privacy information on purchasing behavior: an experimental study. Inf. Syst. Res. 22(2), 254-268 (2011)
266. Warden, P.: Big Data Glossary. O’Reilly Media Inc., Sebastopol (2011)
267. Webb, P., et al.: Attempting to define IT governance: wisdom or folly? In: HICSS’06, pp. 1-10 (2006)
268. Zicari, R.V: Big Data: Challenges and Opportunities. This is Big Data (2012)
269. Apple Store. http://store.apple.com. Accessed 16 Nov 2014
270. Barrenchea, M.: Big data: big hype? http://www.forbes.com/sites/ciocentral/2013/02/04/big-databig-hype/. Accessed 16 Nov 2014
271. Cukier, K.: A special report on managing information: data, data everywhere. http://www.economist.com/node/15557443 (2010). Accessed 16 Nov 2014
272. Davenport, T.H., Patil, D.J.: Data scientist: the sexiest job of the 21st century. Harvard Bus. Rev. 90, 70-76 (2012)
273. Experian Hitwise. Getting to grips with social media-An Experian Insight Report, Experian Limited (2010)
274. Google Play. http://play.google.com/store. Accessed 16 Nov 2014
275. Gopalkrishnan, V., Steier, D.: Big data, big business: bridging the gap. In: BigMine ’12: Proceedings of the 1st International Workshop on Big Data, Streams and heterogeneous Source mining, pp. 7-11 (2012)
276. Katal, A., Wazid, M., Goudar, R.H.: Big data: issues, challenges, tools and good practices. In: 2013 6th International Conference on Contemporary Computing (IC3 2013), pp. 404-409 (2013)
277. Kelion, L.: eBay makes users change their passwords after hack. http://www.bbc.co.uk/news/technology-27503290. Accessed 16 Nov 2014
278. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute, San Francisco (2011)
279. Mayer, C.: Hortonworks show YARN future Hadoop with HDP 2.0 preview. http://jaxenter.com/hortonworks-show-yarn-future-hadoop-with-hdp-2-0-preview-106254.html (2013). Accessed 16 Nov 2014
280. Mithas, S., Lucas, H.C.: What is your digital business strategy? IEEE IT Prof. 12, 4-6 (2010)
281. Morabito, V.: Trends and challenges in digital business innovation. Springer International Publishing, New York (2014)
282. Muhtaroglu, F.C.P., Demir, S., Obali, M., Girgin, C.: Business model canvas perspective on big data applications. In: Proceedings-2013 IEEE International Conference on Big Data, Big Data 2013, pp. 32-37 (2013)
283. Osterwalder, A., Pigneur, Y., Smith, A., Movement, T.: Business model generation: a handbook for visionaries, game changers, and challengers. Wiley, New York (2010)
284. Rajpurohit, A.: Big data for business managers-bridging the gap between potential and value. In: Proceedings-2013 IEEE International Conference on Big Data, Big Data 2013, pp. 29-31 (2013)
285. Rogers, D.: The network is your customer: 5 strategies do thrive in a digital age. Yale University Press, UK (2011)
286. Sagiroglu, S., Sinanc, D.: Big data: a review. In: International Conference on Collaboration Technologies and Systems (CTS), pp. 42-47. IEEE, San Diego, CA (2013)
287. Vanderbilt, T.: The science behind the Netflix algorithms that decide what you’ll watch next. http://www.wired.com/2013/08/qq_netflix-algorithm/(2013). Accessed 16 Nov 2014
288. Wikipedia: Facebook. http://en.wikipedia.org/wiki/Facebook?uselang=ja?iframe=true&width= 90%&height=90%. Accessed 16 Nov 2014
289. Wikipedia: Netflix. http://en.wikipedia.org/wiki/Netflix. Accessed 16 Nov 2014
290. Wikipedia: Twitter. http://en.wikipedia.org/wiki/Twitter. Accessed 16 Nov 2014
291. Zhang, D.: Inconsistencies in big data. In: Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCICC), pp. 61-67 (2013)
292. Zheng, Z., Zhu, J., Lyu, M.R.: Service-generated big data and big data-as-a-service: an overview. In: IEEE (ed.) IEEE International Congress on Big Data, pp. 403-410. IEEE, Santa Clara, CA (2013)
293. Bain Insights: The big data boom is your company ready. http://www.forbes.com/sites/baininsights/2013/10/30/the-big-data-boom-is-your-company-ready/(2013)
294. Batty, M.: Big data, smart cities and city planning. Dialog. Hum. Geogr. 3(3), 274-279 (2013)
295. Bell, S.: Data-driven innovation. http://www.computerweekly.com/feature/Data-driven-innovation (2013). Accessed 18 Nov 2014
296. Bjelland, O.M., Wood, R.C.: An inside view of IBM’ s “innovation jam”. MIT Sloan Manage. Rev. 50101 (2008)
297. Blohm, S.: Large-Scale Pattern-Based Information Extraction from the World Wide Web. KIT Scientific Publishing (2011)
298. Bollier, D., Firestone, C.M.: The Promise and Peril of Big Data. The Aspen Institute (2010)
299. Bughin, J., Chui, M., Manyika, J.: Clouds, big data, and smart assets: ten tech-enabled business trends to watch. McKinsey Q. 56, 1-14 (2010)
300. Bughin, J., Chui, M., Manyika, J.: Ten IT-enabled business trends for the decade ahead. McKinsey Q. (2013)
301. Chen, H., Chiang, R.H.L, Storey, V.C: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165-1188 (2012)
302. Computer Research Association: Challenges and opportunities with big data. Community white paper. http://cra.org/ccc/docs/init/(2011). Accessed 18 Nov 2014
303. Couchbase: Making the shift from relational to NoSQL. Couchbase (2010)
304. Couchbase: Why NoSQL? Couchbase (2013)
305. Cui, B., et al.: Big data: the driver for innovation in databases. Natl. Sci. Rev. 1(1), 27-30 (2014)
306. Dandawate, Y. (ed.): Big data: challenges and opportunities-big data: countering tomorrow’s challenges. Infosys Labs Brief. 11(1) (2013)
307. Davenport, T.H., Dyché, J.: Big data in big companies. Int. Inst. Anal. (2013)
308. Davenport, T.H., Patil, D.J.: Data scientist: the sexiest job of the 21st century. Harv. Bus. Rev. 90, 70-76 (2012)
309. De Fortuny, E.J., Martens, D., Provost, F.: Predictive modeling with big data: is bigger really better? Big Data 1(4), 215-226 (2013)
310. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 1-13 (2008)
311. Demchenko, Y.: Defining the Big Data Architecture Framework (BDAF). SNE Group, University of Amsterdam, Amsterdam (2013)
312. Drake, J.L., et al. (eds.): New Trends in Earth-Science Outreach and Engagement. Springer International Publishing, Cham (2014)
313. Economics, P.: Big data, big brother, big money. Q. J. Econ. 11, 85-89 (2013)
314. Eisenhardt, K.M., Martin, J.A.: Dynamic capabilities: what are they? Strateg. Manag. J. 21(10-11), 1105-1121 (2000)
315. El Abbadi, A: Big data and cloud computing: current state and future opportunities. In: Proceedings of the 14th International Conference on Extending Database Technology. ACM, pp. 530-533 (2011)
316. El-Darwiche, B., Koch, V., Meer, D., Shehadi, R.T., Tohme, W.: Big data maturity: an action plan for policymakers and executives. In: Bilbao-Osorio, B., Dutta, S., Lanvin, B. (eds.) The Global Information Technology Report 2014-Rewards and Risks of Big Data. World Economic Forum, pp. 43-51 (2014)
317. Elmqvist, N., Irani, P.: Ubiquitous analytics: interacting with big data anywhere, anytime. Computer (Long. Beach. Calif.) 46(4), 86-89 (2013)
318. EMC: Big data transforms. The life science commercial model. EMC (2013)
319. EY: Big data-changing the way businesses compete and operate. EYGM Limited. (2014)
320. Fan, W., Bifet, A.: Mining big data: current status, and forecast to the future. ACM SIGKDD Explor. News Lett. 14(2), 1-5 (2012)
321. Fayyad, U., Uthurusamy, R. (eds.): Evolving data into mining solutions for insights. Commun. ACM 45(8), 28-31 (2002)
322. Gobble, M.M.: Resources: big data: the next big thing in innovation. Res. Manag. 56(1), 64-67 (2013)
323. Groves, P., Kayyali, B., Knott, D., Van Kuiken, S.: The “Big Data” Revolution in Healthcare-Accelerating Value and Innovation. McKinsey & Company, Chicago (2013)
324. Hampton, S.E., et al.: Big data and the future of ecology. Front. Ecol. Environ. 11(3), 156-162 (2013)
325. Hartmann, P.M., Zaki, M., Feldmann, N., Neely, A.: Big Data for Big Business? A Taxonomy of Data-Driven Business Models Used by Start-up Firms. University of Cambridge, Cambridge Service Alliance (2014)
326. HM Revenue and Customs: Annual report and accounts 2012-13. HM Revenue and Customs (2013)
327. Huo, J. et al.: BESIU physical analysis on Hadoop platform. J. Phys. Conf. Ser. 513(3), 032044 (2014)
328. Jacobs, A.: The pathologies of big data. Commun. ACM 52(8), 36-44 (2009)
329. Jain, P.: New trends and future applications/directions of institutional repositories in academic institutions. Libr. Rev. 60(2), 125-141 (2011)
330. Ji, C. et al.: Big data processing: big challenges and opportunities. J. Interconnect. Netw. 13(3-4), 1250009 (2012)
331. Jinbao, Z., Wang, A.: Data modeling for big data. CA Technologies (2012)
332. Kaisler, S., et al.: Big data: issues and challenges moving forward. In: 2013 46th Hawaii International Conference on System Sciences, pp. 995-1004 (2013)
333. Kelly, J., Vellante, D., Floyer, D.: Big data market size and vendor revenues. http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Vendor_Revenues (2014). Accessed 18 Nov 2014
334. Kwon, O., et al.: Data quality management, data usage experience and acquisition intention of big data analytics. Int. J. Inf. Manage. 34(3), 387-394 (2014)
335. Lavalle, S., Lesser, E., Shock-ley, R., Hopkins, M.S., Kruschwitz, N.: Big data, analytics and the path from insights to value. MIT Sloan Manage. Rev. 52(2) (2011)
336. Lohr, S.: The age of big data. http://www.nytimes.com/2012/02/12/sunday-review/big-datasimpact-in-the-world.html?pagewanted=all&_r=0 (2012). Accessed 18 Nov 2014
337. Louridas, P., Ebert, C.: Embedded analytics and statistics for big data. IEEE Softw. 30(6), 33-39 (2013)
338. Madden, S.: From databases to big data. IEEE Internet Comput. 16, 1-2 (2012)
339. Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., Marrs, A.: Disruptive technologies: advances that will transform life, business, and the global economy. McKinsey Global Institute (2013)
340. McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harv. Bus. Rev. 90(10), 60-68 (2012)
341. Meeker, W.Q., Hong, Y.: Reliability meets big data: opportunities and challenges. Qual. Eng. 26(1), 102-116 (2014)
342. Miluzzo, E.: I’m Cloud 2.0, and I’m not just a data center. IEEE Internet Comput. 18(3), 73-77 (2014). doi:10.1109/MIC.2014.53
343. Mithas, S., Lee, M.R., Earley, S., Murugesan, S., Djavanshir, R.: Leveraging big data and business analytics. IEEE IT Prof. 15(6), 18-20 (2013)
344. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer International Publishing, Cham (2014)
345. Mullich, J.: Adobe gets personal with customers. Adobe Systems (2014)
346. Obeng-Odoom, F.: The future of our cities. Cities 26(1), 49-53 (2009)
347. Olson, B.M.: HADOOP: scalable, flexible data storage and analysis. IQT Q. 1(3), 14-18 (2010)
348. Özcan, F. et al.: Are we experiencing a big data bubble? In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data-SIGMOD’14, pp. 1407-1408 (2014)
349. Parmar, R., Cohn, D.L., Marshall, A.: Driving innovation through data. IBM Global Business Services (2014)
350. Parmar, R., Mackenzie, I., Cohn, D., Gann, D.: The new patterns of innovation. Harv. Bus. Rev. https://hbr.org/2014/01/the-new-patterns-of-innovation (2014). Accessed 18 Nov 2014
351. Pearson, B.T., Wegener, R.: Big data: the organizational challenge. Bain Co. (2013)
352. Piatetsky-Shapiro, G.: Comment on “A revolution that will transform how we live, work, and think: an interview with the authors of big data”. Big Data 1(4), 193-193 (2013)
353. Prophet, T.: Investing in transportation to improve supply chain efficiency at HP. http://www8.hp.com/hpnext/posts/investing-transportation-improve-supply-chain-efficiency-hp#.VGvO6IdJOjk (2013). Accessed 18 Nov 2014
354. Provost, F., Fawcett, T.: Data science and its relationship to big data and data-driven decision making. Big Data 1(1), 51-59 (2013)
355. Qubole, A.T.: How big data is revolutionizing the food industry. WIRED innovation insights. http://www.wired.com/2014/02/big-data-revolutionizing-food-industry/(2014). Accessed 19 Nov 2014
356. Russom, P.: Big data analytics. TDWI best practices report (2011)
357. Russom, P.: Managing big data. TDWI best practices report (2013)
358. Sagiroglu, S., Sinanc, D.: Big data: a review. In: 2013 International Conference on Collaboration Technologies and Systems, pp. 42-47 (2013)
359. Saleem, M.A.: Lightweight stack for big data analytics. Head of Department: Dr. Steve Linton, Supervisor: Dr. Adam Barker, Department of Computer Science, University of St Andrews, June 2014 Declaration (2014)
360. 2 InFocus. https://infocus.emc.com/william_schmarzo/big-data-business-model-maturity-chart/(2012). Accessed 18 Nov 2014
361. Serenko, A., Bontis, N., Hull, E.: An application of the knowledge management maturity model: the case of credit unions. In: Proceedings of the Twentieth Americas Conference on Information Systems, Savannah (ICIS2014), pp. 1-10 (2014)
362. Stonebraker, M., Madden, S., Dubey, P.: Intel “big data” science and technology center vision and execution plan. SIGMOD Rec. 42(1), 44-49 (2013)
363. Taylor, W.C., Labarre, P.: Mavericks at Work: Why the Most Original Minds in Business Win. HarperCollins e-books, New York (2006)
364. Wanderman-milne, S., Li, N.: Runtime code generation in Cloudera Impala. IEEE Data Eng. Bull. 37(1), 31-37 (2014)
365. Wielki, J.: Implementation of the big data concept in organizations-possibilities, impediments and challenges. In: FEDCSIS, pp. 985-989 (2013)
366. X digital library. In: 2014 IEEE 30th International Conference on Data Engineering Work (ICDEW) (2014)
367. Yan, J.: Big data, bigger opportunities collaborate in the era of big data-Data.gov’s roles: promote, lead, contribute, and collaborate in the era of big data. Data.gov, U.S. General Services Administration (2013)
368. Ayasdi Core: http://www.ayasdi.com/product/(2014). Accessed 11 Nov 2014
369. Cogito Dialog: http://www.cogitocorp.com/(2014). Accessed 12 Nov 2014
370. Crunchbase: http://www.crunchbase.com/person/max-simkoff (2014). Accessed 18 Nov 2014
371. Dunlap, S.: What differentiatesKahunamobile analytics fromothermobile analytics companies? http://www.quora.com/What-differentiates-Kahuna-mobile-analytics-from-other-mobile-analyticscompanies (2013). Accessed 18 Nov 2014
372. Empson, R.: Tracx secures $4.4 million to bring big data to social media management. http://echcrunch.com/2012/02/16/tracx-secures-4-4-million-to-bring-big-data-to-social-mediamanagement/(2012). Accessed 18 Nov 2014
373. Essentia Analytics: http://www.essentia-analytics.com (2014). Accessed 11 Nov 2014
374. Evolv: www.evolv.net (2014). Accessed 11 Nov 2014
375. Evrythng: http://www.evrythng.com (2014a). Accessed 11 Nov 2014
376. Evrythng: https://evrythng.com/about-us/our-team/(2014b). Accessed 18 Nov 2014
377. Fast Company: http://www.fastcompany.com/3034748/worth-the-risk/how-evolv-is-arming-companieswith-predictive-data-on-employees (2014a). Accessed 18 Nov 2014
378. Fast Company: http://www.fastcompany.com/most-innovative-companies/2014/industry/big-data(2014b). Accessed 18 Nov 2014
379. cHern, A.: Cisco invests in UK internet of things startup Evrythng. http://www.theguardian.com/technology/2014/apr/30/cisco-internet-of-things-startup-evrythng (2014). Accessed 18 Nov 2014
380. Invenio: Cognitive technology. http://www.cognitive.com.mt/(2014). Accessed 11 Nov 2014
381. Kahuna: http://www.usekahuna.com/(2014a). Accessed 12 Nov 2014
382. Kahuna: https://www.kahuna.com/about/(2014b). Accessed 18 Nov 2014
383. Kahuna: https://www.kahuna.com/blog/2014/07/(2014c). Accessed 18 Nov 2014
384. Lawrence, J.: Big Data Renders College Diplomas Worthless; Billionaires Nonplussed, San Diego Free Press. http://sandiegofreepress.org/2014/04/big-data-renders-college-diplomas-worthlessbillionaires-nonplussed/#.VGsbJ4dJOjl (2014). Accessed 18 Nov 2014
385. Lohr, S.: Ayasdi: a big data start-up with a long history. Bits. http://bits.blogs.nytimes.com/2013/01/16/ayasdi-a-big-data-start-up-with-a-long-history/?_r=0 (2013). Accessed 18 Nov 2014
386. Marchick, A.: 8 push notification campaigns your App should be running, right now. https://www.linkedin.com/today/post/article/20140728170145-2185326-8-push-notification-campaigns-yourapp-should-be-running-right-now (2014). Accessed 18 Nov 2014
387. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer, Cham (2014)
388. Pentland, A.: Honest Signals-How They Shape Our World. The MIT Press, Cambridge (2008). ISBN: 9780262162562
389. Perez, S.: RetailNext acquires Eric Schmidt-Backed Wi-Fi analytics company, Nearbuy Systems. http://techcrunch.com/2013/12/03/retailnext-acquires-eric-schmidt-backed-wi-fi-analytics-companynearbuy-systems/(2013). Accessed 18 Nov 2014
390. Retailnext: http://retailnext.net/(2014a). Accessed 11 Nov 2014
391. Retailnext: http://retailnext.net/about-us/(2014b). Accessed 18 Nov 2014
392. Retailnext: http://retailnext.net/press-release/retailnext-picks-up-five-accolades-recognizing-growthbig-data-innovation-and-customer-results/(2014c). Accessed 18 Nov 2014
393. Retailnext: https://www.linkedin.com/company/retailnext (2014d). Accessed 18 Nov 2014
394. Shieber, J.: RetailNext raises another $30 million to track in-store data. http://techcrunch.com/2014/07/08/retailnext-raises-another-30-million-to-track-in-store-data/(2014). Accessed 18 Nov 2014
395. Sociometric Solutions: http://www.sociometricsolutions.com/(2014). Accessed 16 Nov 2014
396. Tracx: http://www.tracx.com/(2014). Accessed 12 Nov 2014
397. Francalanci, C., Morabito, V.: IS integration and business performance: the mediation effect of organizational absorptive capacity in SMEs. J. Inf. Technol. 23, 297-312 (2008)
398. Morabito, V.: Business Technology Organization-Managing Digital Information Technology for Value Creation-The SIGMA Approach. Springer, Berlin (2013)
399. Morabito, V.: Trends and Challenges in Digital Business Innovation. Springer, Berlin (2014a)
400. Morabito, V.: Big data. In: Trends and Challenges in Digital Business Innovation, pp. 3-21. Springer, New York (2014b)
401. Oxford Dictionaries: business. http://www.oxforddictionaries.com/definition/english/business. Accessed 16 Nov 2014
402. Pospiech, M., Felden, C.: Big data-a state-of-the-art. In: AMCIS 2012