Abstract
Technological developments ensure the well-being of society, but unreasoned introduction can be detrimental to both society and the environment. It is important for technology authors and investors to know whether the technology will be accepted, adopted and used to reap the benefits of the financial resources invested. The article deals with hidden impacts and unanticipated effects that can influence the sustainability development of technology and assessment simulation. Bayesian networks are proposed for risk evaluation of unanticipated effects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saurat, M., Ritthoff, M., Smith, L.: SAMT. Deliverable D1.1 Overview of existing sustainability assessment methods and tools, and of relevant standards. https://www.spire2030.eu/SAMT. Accessed 17 July 2020
Piera, M.A., Buil, R., Ginters, E.: State space analysis for model plausibility validation in multi agent system simulation of urban policies. In: Proceedings of 25th European Modeling and Simulation Symposium (EMSS 2013), pp. 504–509 (2013)
Ginters, E.: New trends towards digital technology sustainability assessment. In: 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), pp. 184–189. IEEE, London (2020)
Ginters, E., Aizstrauta, D.: Technologies sustainability modelling. In: Rocha, A., Reis, C. (eds.) Trends and Advances in Information Systems and Technologies (WorldCIST 2018). Advances in Intelligent Systems and Computing, vol. 746, pp. 659–668. Springer, Cham (2018)
Shanhong, L.: Artificial intelligence software market revenue worldwide 2018–2025. https://www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-revenues/. Accessed 21 July 2020
Ghosh, I.: Zoom is now worth more than the world’s 7 biggest airlines. https://www.visualcapitalist.com/zoom-boom-biggest-airlines/. Accessed 05 Sept 2020
Ben Abdelaziz, F., Colapinto, C., La Torre, D., Liuzzi, D.: A stochastic dynamic multiobjective model for sustainable decision making. Ann. Oper. Res. 1–18 (2018)
Ginters, E.: Digital technologies acceptance/adoption modelling respecting age factor. In: Rocha et al. (eds.) Trends and Innovations in Information Systems and Technologies. AISC 1160, vol. 2, pp. 621–630. Springer, Cham (2020)
Windows 10 version history. https://en.wikipedia.org/wiki/Windows_10_version_history. Accessed 05 Sept 2020
Rose, J., Ganz, J.: The MP3: a history of innovation and betrayal. https://www.npr.org/sections/therecord/2011/03/23/134622940/the-mp3-a-history-of-innovation-and-betrayal?t=1599074174353. Accessed 05 Sept 2020
Mulder, K.F.: Impact of new technologies: how to assess the intended and unintended effects of new technologies? In: Kauffman, J., Lee, K.M. (eds.) Handbook of Sustainable Engineering. Springer, Dordrecht (2013)
Randall, T.: Here’s how electric cars will cause the next oil crisis. https://www.iene.eu/heres-how-electric-cars-will-cause-the-next-oil-crisis-p3240.html. Accessed 05 Sept 2020
Consumer goods and services. Market research report. Lithium-ion battery market. https://www.transparencymarketresearch.com/lithium-ion-battery-market.html. Accessed 05 Sept 2020
Hebl, B.: The mining process requires extensive amounts of water, which can cause aquifer depletion. https://www.ocmal.org/lithium-firms-depleting-vital-water-supplies-in-chile-analysis-suggests/. Accessed 05 Sept 2020
How eco-friendly are electric cars. https://www.dw.com/en/how-eco-friendly-are-electric-cars/a-19441437. Accessed 05 Sept 2020
Hunt, K.: The rapid rise of electric vehicles could lead to a mountain of battery waste. https://edition.cnn.com/2019/11/06/business/electric-vehicles-battery-waste-scn/index.html. Accessed 05 Sept 2020
Why cogeneration is more efficient than conventional coal power plants? https://wiki.energytransition.org/infographics/. Accessed 05 Sept 2020
PRNewswire. https://www.prnewswire.com/news-releases/the-global-smartphone-market-is-expected-to-grow-from-usd-179-972-89-million-in-2018-to-usd-290-098-28-million-by-the-end-of-2025-at-a-compound-annual-growth-rate-cagr-of-7-05-301054105.html. Accessed 05 Sept 2020
Fenton, N., Neil, M.: Risk Assessment and Decision Analysis with Bayesian Networks. 2nd edn. Chapman and Hall/CRC (2018)
Ginters, E.: Sustainable physical structure design of AR solution for golf applications. In: Rocha, A., Reis, C. (eds.) New Knowledge in Information Systems and Technologies (WorldCIST 2019). Advances in Intelligent Systems and Computing, vol. 931, pp. 675–685. Springer, Cham (2019)
Acknowledgements
The article publication is funded by LZP-2020/2–0397 “Latent Impacts on Digital Technologies Sustainability Development Assessment (LIASAM)”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ginters, E., Dimitrovs, E. (2021). Latent Impacts on Digital Technologies Sustainability Assessment and Development. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1365. Springer, Cham. https://doi.org/10.1007/978-3-030-72657-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-72657-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-72656-0
Online ISBN: 978-3-030-72657-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)