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Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective

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  • Ricardo Francisco Reier Forradellas

    (Department of Economics, Catholic University of Ávila, 05005 Ávila, Spain)

  • Luis Miguel Garay Gallastegui

    (Department of Economics, Catholic University of Ávila, 05005 Ávila, Spain)

Abstract

Digital transformation can be defined as the integration of new technologies into all areas of a company. This technological integration will ultimately imply a need to transform traditional business models. Similarly, artificial intelligence has been one of the most disruptive technologies of recent decades, with a high potential impact on business and people. Cognitive approaches that simulate both human behavior and thinking are leading to advanced analytical models that help companies to boost sales and customer engagement, improve their operational efficiency, improve their services and, in short, generate new relevant information from data. These decision-making models are based on descriptive, predictive and prescriptive analytics. This necessitates the existence of a legal framework that regulates all digital changes with uniformity between countries and helps a proper digital transformation process under a clear regulation. On the other hand, it is essential that this digital disruption is not slowed down by the regulatory framework. This work will demonstrate that AI and digital transformation will be an intrinsic part of many applications and will therefore be universally deployed. However, this implementation will have to be done under common regulations and in line with the new reality.

Suggested Citation

  • Ricardo Francisco Reier Forradellas & Luis Miguel Garay Gallastegui, 2021. "Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective," Laws, MDPI, vol. 10(3), pages 1-22, August.
    • Handle: RePEc:gam:jlawss:v:10:y:2021:i:3:p:70-:d:623061
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    References listed on IDEAS

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    1. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 0. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    2. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75002, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Christian Matt & Thomas Hess & Alexander Benlian, 2015. "Digital Transformation Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 339-343, October.
    4. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 2017. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 19(4), pages 835-854, August.
    5. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75202, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Ting Qian & Caoyuan Yang, 2023. "State-Owned Equity Participation and Corporations’ ESG Performance in China: The Mediating Role of Top Management Incentives," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    2. Xiao Han & Yang Zheng, 2022. "Driving Elements of Enterprise Digital Transformation Based on the Perspective of Dynamic Evolution," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    3. Chaohong Na & Xue Chen & Xiaojun Li & Yuting Li & Xiaolan Wang, 2022. "Digital Transformation of Value Chains and CSR Performance," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    4. Luis Miguel Garay Gallastegui & Ricardo Francisco Reier Forradellas, 2021. "Business Methodology for the Application in University Environments of Predictive Machine Learning Models Based on an Ethical Taxonomy of the Student’s Digital Twin," Administrative Sciences, MDPI, vol. 11(4), pages 1-24, October.

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