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A Barbell Strategy-oriented Regulatory Framework and Compliance Management
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6952-1053
2020 (English)In: Commun. Comput. Info. Sci., Springer , 2020, p. 696-705Conference paper, Published paper (Refereed)
Abstract [en]

As we are witnessing nowadays with self-driving vehicles and robots performing collaborative tasks, and as it has been witnessed in the past, a disruptive technological innovation may cause a regulatory disruption. As a consequence, established regulatory frameworks need to evolve and, in this evolution process, regulatory excellence is paramount for guaranteeing appropriate risk taking, enabling innovators to innovate while efficiently complying to proportionate regulatory frameworks. In risk management theory, or better, in risk taking theory, Taleb has proposed the Barbell strategy, characterised by maximal certainty/low risk on one extreme of the barbell, and maximal uncertainty on the other extreme, as a means for developing anti-fragility, i.e., ability to gain from disorder. In this paper, we propose our vision consisting of a Barbell strategy-oriented regulatory framework and compliance management, where regulators and manufacturers/innovators, both, adopt a Barbell strategy for reaching an optimal solution in regulatory making, the former, and compliance management, the latter. Finally, conclusion and perspectives for future work are also drawn.

Place, publisher, year, edition, pages
Springer , 2020. p. 696-705
Series
Communications in Computer and Information Science
Keywords [en]
Barbell strategy, Compliance, Disruptive technological innovation, Regulatory disruption, Regulatory framework, Automobile manufacture, Process engineering, Risk management, Risks, Collaborative tasks, Compliance management, Evolution process, Optimal solutions, Regulatory frameworks, Risk management theories, Self drivings, Technological innovation, Regulatory compliance
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-49876DOI: 10.1007/978-3-030-56441-4_52ISI: 000701448600052Scopus ID: 2-s2.0-85089715336ISBN: 9783030564407 (print)OAI: oai:DiVA.org:mdh-49876DiVA, id: diva2:1463880
Conference
9 September 2020 through 11 September 2020
Available from: 2020-09-03 Created: 2020-09-03 Last updated: 2021-10-21Bibliographically approved

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Gallina, Barbara

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf