Big Data and disruptions in business models
Main Article Content
Abstract
There are many challenges to reaping the benefits of the newest, emerging technologies. If it were easy, every business would do it and competitive advantage would easily fade away. It is in fact extremely difficult and challenging for companies to create value with emerging technologies. Every year, Gartner, a respected consultancy company, reviews the newest, emerging technologies and uses its hype cycle concept to explain the path that technologies take. The cycle consists of five phases: (i) the technology trigger phase: the invention of new technology that happens in a research lab, usually at a university (most companies outsource their fundamental research to universities nowadays). (ii) the peak of inflated expectations phase: the technology is discussed by companies at conferences and in the press. There is a great deal of talk about the new technology, but no one has used it yet. R&D projects are launched. (iii) the trough of disillusionment phase: it turns out that the technology is not as useful as it was thought to be. (iv) the slope of enlightenment phase: here, the valuable fusion of business and technology is explored. (v) the plateau of productivity phase: it is clear how business can use the technology to create value. In Gartner’s (2019) emerging technologies hype cycle, technologies such as biorobots, augmented reality cloud, decentralized web, adaptive machine learning, nanoscale 3D printing, and 5G are reviewed and positioned in the first phases. Gartner expect that these technologies will reach the plateau of productivity within 5 to 10 years.
Downloads
Metrics
Article Details
A RAE compromete-se a contribuir com a proteção dos direitos intelectuais do autor. Nesse sentido:
- adota a licença Creative Commoms BY (CC-BY) em todos os textos que publica, exceto quando houver indicação de específicos detentores dos direitos autorais e patrimoniais;
- adota software de detecção de similaridades;
- adota ações de combate ao plagio e má conduta ética, alinhada às diretrizes do Committee on Publication Ethics (COPE)
References
Agatz, N., Campbell, A., Fleischmann, M., & Savelsbergh, M. (2011). Time slot management in attended home delivery. Transportation Science, 45(3), 435-449. doi:10.1287/trsc.1100.0346
Gartner. (2019). Hype cycle of emerging technologies 2019. Retrieved from https://www.gartner.com/en/documents/3956015/hypecycle-for-emerging-technologies-2019
Kahlen, M. T., Ketter, W., & van Dalen, J. (2018). Electric vehicle virtual power plant dilemma: Grid balancing versus customer mobility. Production and Operations Management, 27(11), 2054-2070. doi:10.1111/poms.12876
Lu, Y., Gupta, A., Ketter, W., & van Heck, E. (2019). Dynamic decision making in sequential business-to-business auctions: A structural econometric approach. Management Science, 65(8), 3449-3947. doi:10.1287/mnsc.2018.3118
Mocker, M., Ross, J. W., & van Heck, E. (2014). Transforming Royal Philips: Seeking Local Relevance While Leveraging Global Scale. In MIT Sloan CISR Working Paper No. 394, February 2014. Cambridge, USA: MIT Sloan Centre for Information Systems of Research (CISR).
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review. Retrieved from https://hbr.org/2014/11/how-smart-connected-products-
are-transforming-competition
Silver, N. (2015). The signal and the noise: Why so many predictions fail, but some don’t. New York, NY: Penguin Books. Weill, P., & Woerner, S. (2018). What’s your digital business model? Six Questions to help you build the next-generation enterprise.
Cambridge, UK: Harvard Business Review Press.
Westerman, G. Bonnet, D., & McAfee, A. (2014). Leading digital: Turning technology into business transformation. Cambridge, UK: Harvard Business Review Press.