IT as a Driver for New Business

  • Maria José SousaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 444)


This research focuses on the role of Information Technologies (IT) as a driver for creating new business. The research question is “What are the key businesses that are emerging due to IT?” The research was supported on a qualitative methodology through documental analysis and semi-structured interviews to IT Managers of organizations which represents the main economic sectors. The technologies under analysis were Internet of Things, Cloud Technology, Big Data, Mobile Technologies, and Artificial Intelligence and Robotics. A main result of this research was the new disruptive business that are emerging from the impact of this technologies on the markets.


IT New business IOT Cloud Big data Mobile technologies Artificial intelligence Robotics 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Brem, A. and Voigt, K.-I.: Integration of market-pull and technology-push in the corporate front end and innovation management — insights from the German software industry. Technovation, 29: 351–367 (2009).Google Scholar
  2. 2.
    Dedrick, J.; Kraemer, K.L. and Seever, P.: Global market potential for information technology products and services. Globalization of I.T (2007).Google Scholar
  3. 3.
    Porter, M. and Heppelman, J.: How Smart, Connected Products are Transforming Competition, Harvard Business Review (2014)Google Scholar
  4. 4.
    Routley, M.; Phaal, R. and Prober, D. Exploring industry dynamics and interactions. Technol. Forecast. Soc. Chang., 80: 1147–1161 (2013).Google Scholar
  5. 5.
    Timmers, P.: Business Models for Electronic Markets. Electronic Markets, 8, 3-8 (1998).Google Scholar
  6. 6.
    R. Phaal, C.J.P. Farrukh, D.R. Probert. Technology roadmapping — a planning framework for evolution and revolution Technol. Forecast. Soc. Chang., 71: 5–26 (2004).Google Scholar
  7. 7.
    Routley, M., Phaal, R., Probert, D.: Exploring industry dynamics and interactions. Technol. Forecast. Soc. Chang. 80, 1147–1161 (2013).Google Scholar
  8. 8.
    Haegeman, K., Marinelli, E., Scapolo, F., Ricci, A., Sokolov, A.: Quantitative and qualitative approaches in future-oriented technology analysis (FTA): from combination to integration? Technol. Forecast. Soc. Chang. 80, 386–397 (2013).Google Scholar
  9. 9.
    Maló, P., et al.: Deliverable D3.1b Roadmaps for IoT Deployments, FP7-288315 PROBE-IT. Pursuing Roadmaps and Benchmarks for the Internet of Things (2013).Google Scholar
  10. 10.
    Guinard, D., Trifa, V., Mattern, F. and Wilde, E. From the Internet of Things to the Web of Things: Resource-Oriented Architecture and Best Practices. Architecting the Internet of Things, 97-129. (2011)Google Scholar
  11. 11.
    Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N. and Razafindralambo, T.: A Survey on Facilities for Experimental Internet of Things Research. IEEE Communications Magazine, 49: 58-67 (2011).Google Scholar
  12. 12.
    Chui, M.; Löffler, M., and Roberts, R.: The Internet of Things, McKinsey Quarterly (2010).Google Scholar
  13. 13.
    Bucherer, E., & Uckelmann, D.: Business models for the Internet of Things. In Architecting the Internet of Things. Berlin-Heidelberg, Germany: Springer (2011).Google Scholar
  14. 14.
    Fan, P. F., & Zhou, G. Z.: Analysis of the business model innovation of the technology of internet of things in postal logistics. In Proceedings of industrial engineering and engineering management. 532-536: IEEE Press (2011).Google Scholar
  15. 15.
    Hui, G.: How the internet of things changes business models. Harvard Business Review (2014).Google Scholar
  16. 16.
    Sun, Y., Yan, H., Lu, C., Bie, R., & Thomas, P.: A holistic approach to visualizing business models for the internet of things. Communications in Mobile Computing, 1(1), 1–7 (2012).Google Scholar
  17. 17.
    Chard, K.; Caton, S.; Rana, O. and Bubendorfer, K.: Social cloud: cloud computing in social networks, in: Proceedings of the 3rd International Conference on Cloud Computing IEEE Cloud, (2010).Google Scholar
  18. 18.
    Osunmakinde, I.; Ramharuk, V.: Development of a Survivable Cloud Multi-robot Framework for Heterogeneous Environments. International Journal Advanced Robotic Systems, vol. 11: 164 (2014).Google Scholar
  19. 19.
    McAfee, A., & Brynjolfsson, E.: Big data: The management revolution. Harvard Business Review, 60, 60–66 (2012).Google Scholar
  20. 20.
    Chen, H., Chiang, R., and Storey, V.: Business Intelligence and Analytics: From Big Data to Big Impact, MIS Quarterly (36:4), pp. 1165-1188 (2012).Google Scholar
  21. 21.
    Taylor, B.: Data science in human capital research and analytics. Symposium presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA (2015).Google Scholar
  22. 22.
    Brynjolfsson, E. and McAfee, A. The Second Machine Age: Work Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company, New York, (2014).Google Scholar
  23. 23.
    Bhalla, M. and Bhalla A.: Generations of Mobile Wireless Technology: A Survey. International Journal of Computer Applications, Volume 5-No.4, (2010)Google Scholar
  24. 24.
    Bostrum, N. Superintelligence: Paths, Dangers, Strategies. Oxford University Press, (2014).Google Scholar
  25. 25.
    Zikmund, W. G.: Business Research Methods (6th edition). USA: Harcourt, (2000).Google Scholar
  26. 26.
    Berg, Bruce L.: Qualitative research methods for the social sciences (5th ed). Pearson, Boston, MA, (2004).Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Plataforma Para O Crescimento Sustentável, Instituto Universitário de LisboaUniversidade EuropeiaLisbonPortugal

Personalised recommendations