Abstract
Innovation has a great and sometimes decisive influence on companies’ competitive advantage. However, innovations based on artificial intelligence such as robotics or computerisation can destroy jobs. All jobs are at risk. In this sense the lack of jobs will affect the market value of the companies that heavily invested in innovation. Based on this preoccupation, a multi-agent model denominated INOV-I has been developed to replicate this tendency in labour markets. We ran the model with three issues into consideration: (a) the proportion of innovative companies present in an artificial economy, (b) speed-to-market and time to delivery, and (c) the mobility effect. Several simulations yielded preliminary results that demonstrated that innovation has indirect negative impacts on both real and potential market value.
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References
Acemoglu, D., Restrepo, P.: Robots and jobs: evidence from US labor markets, NBER working paper No. 23285 (2017)
Morgenstern, M.: Artificial intelligence: the impact on jobs, automation and anxiety. In The Economist, Special Report (2016)
Ford, M.: The Rise of the Robots. Technology and the Threat of Jobless Future. Basic Books, New York (2015)
Amit, R., Zott, C.: Value creation in e-business. Strateg. Manag. J. 22(6/7), 493–520 (2001)
Amit, R., Zott, C.: Creating value through business model innovation. MIT Sloan Manag. Rev. 53(3), 41–49 (2012)
MacCormack, A., Murray, F., Wagner, E.: Spurring innovation through competitions. MIT Sloan Manag. Rev. 55(1), 25–32 (2013)
Ringel, M., Taylor, A., Zablit, H.: The most innovative companies 2015: four factors that differentiate leaders, The Boston Consulting Group Report (2015). https://media-publications.bcg.com/MIC/BCG-Most-Innovative-Companies-2015-Nov-2015.pdf
Chen, J., Reilly, R.R., Lynn, G.S.: The impacts of speed-to-market on new product success. IEEE Trans. Eng. Manag. 52(2), 199–212 (2005)
Bhens, S., Lau, L., Markovitch, S.: Finding the speed to innovate, in Digital McKinsey, McKinsey & Company (2015). http://www.mckinsey.com/business-functions/digital-mckinsey/ourinsights/finding-the-speed-to-innovate
Frey, C., Osborne, M.: The future of employment: how susceptible are jobs to computerisation? Oxford Martin School, University of Oxford, Oxford OX1 1PT, United Kingdom Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom (2016). https://doi.org/10.1016/j.techfore.2016.08.019
Stiglitz, J.E.: The Price of Inequality: How Today’s Divided Society Endangers Our Future, Kindle edn, p. 9. New York, W.W. Norton (2012)
Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston (2012)
Magessi, N., Antunes, L.: Shadow economy and wealth distribution, in Artificial Economics 10th World Conference, Barcelona, post proceedings in Advances of Artificial Economics, Lecture Notes in Economics and Mathematical Systems, vol. 676, 2015, pp. 169–179. Springer (2014)
Magessi, N., Antunes, L.: Emigration or tax evasion? Solutions for Portuguese to escape from its economic crisis” in AAMAS 2015 – 14th International Conference of Autonomous Agents, Istanbul, 2015, proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, pp. 1747–1748, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC ©2015 (2015)
Magessi, N., Antunes, L: Comparing tax avoidance and tax evasion in terms of wealth distribution. In: 11th Artificial Economics Conference, in Advances of Artificial Economics, Springer (2015)
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Magessi, N.T., Antunes, L. (2020). Influences of Innovation in Market Value. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_28
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