IDEAS home Printed from https://ideas.repec.org/a/vrs/founma/v13y2021i1p103-116n7.html
   My bibliography  Save this article

Digital Innovations and Smart Solutions for Society and Economy: Pros and Cons

Author

Listed:
  • Sikorski Marcin

    (Gdańsk University of Technology, Faculty of Management and Economics, POLAND)

Abstract

Recent developments in artificial intelligence (AI) may involve significant potential threats to personal data privacy, national security, and social and economic stability. AI-based solutions are often promoted as “intelligent” or “smart” because they are autonomous in optimizing various processes. Because they can modify their behavior without human supervision by analyzing data from the environment, AI-based systems may be more prone to malfunctions and malicious activities than conventional software systems. Moreover, due to existing regulatory gaps, development and operation of AI-based products are not yet subject to adequate risk management and administrative supervision. Resonating to recent reports about potential threats resulting from AI-based systems, this paper presents an outline of a prospective risk assessment for adaptive and autonomous products. This research resulted in extensive catalogs of possible damages, initiating events, and preventive policies that can be useful for risk managers involved in conducting risk assessment procedures for AI-based systems. The paper concludes with the analysis and discussion of changes in business, legal, and institutional environments required to ensure the public that AI-based solutions can be trusted, are transparent and safe, and can improve the quality of life.

Suggested Citation

  • Sikorski Marcin, 2021. "Digital Innovations and Smart Solutions for Society and Economy: Pros and Cons," Foundations of Management, Sciendo, vol. 13(1), pages 103-116, January.
  • Handle: RePEc:vrs:founma:v:13:y:2021:i:1:p:103-116:n:7
    DOI: 10.2478/fman-2021-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/fman-2021-0008
    Download Restriction: no

    File URL: https://libkey.io/10.2478/fman-2021-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    2. Youngjin Yoo & Ola Henfridsson & Kalle Lyytinen, 2010. "Research Commentary ---The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research," Information Systems Research, INFORMS, vol. 21(4), pages 724-735, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    2. Swen Nadkarni & Reinhard Prügl, 2021. "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, Springer, vol. 71(2), pages 233-341, April.
    3. Shaheer, Noman Ahmed & Li, Sali, 2020. "The CAGE around cyberspace? How digital innovations internationalize in a virtual world," Journal of Business Venturing, Elsevier, vol. 35(1).
    4. Bas Kolen & Matthijs Kok & Ira Helsloot & Bob Maaskant, 2013. "EvacuAid: A Probabilistic Model to Determine the Expected Loss of Life for Different Mass Evacuation Strategies During Flood Threats," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1312-1333, July.
    5. Meissner, Philip & Brands, Christian & Wulf, Torsten, 2017. "Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process," International Journal of Forecasting, Elsevier, vol. 33(1), pages 244-253.
    6. Muhammad Farooq Islam & Ozge Can, 2024. "Integrating digital and sustainable entrepreneurship through business models: a bibliometric analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 14(1), pages 1-18, December.
    7. Fabio Salamanca-Buentello & Mary V Seeman & Abdallah S Daar & Ross E G Upshur, 2020. "The ethical, social, and cultural dimensions of screening for mental health in children and adolescents of the developing world," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-25, August.
    8. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    9. Christian Bartelheimer, Philipp zur Heiden, Hedda Lüttenberg, Daniel Beverungen, 2021. "Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study," Working Papers Dissertations 79, Paderborn University, Faculty of Business Administration and Economics.
    10. Mina Nasiri & Minna Saunila & Tero Rantala & Juhani Ukko, 2022. "Sustainable innovation among small businesses: The role of digital orientation, the external environment, and company characteristics," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 703-712, August.
    11. Jean-Michel Sahut & Luca Iandoli & Frédéric Teulon, 2021. "The age of digital entrepreneurship," Small Business Economics, Springer, vol. 56(3), pages 1159-1169, February.
    12. Hui Fang & Chunyu Jiang & Tufail Hussain & Xiaoye Zhang & Qixin Huo, 2022. "Input Digitization of the Manufacturing Industry and Carbon Emission Intensity Based on Testing the World and Developing Countries," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    13. Heiskanen, Aleksi & Hurmekoski, Elias & Toppinen, Anne & Näyhä, Annukka, 2022. "Exploring the unknowns – State of the art in qualitative forest-based sector foresight research," Forest Policy and Economics, Elsevier, vol. 135(C).
    14. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    15. Panourgias, Nikiforos S. & Nandhakumar, Joe & Scarbrough, Harry, 2014. "Entanglements of creative agency and digital technology: A sociomaterial study of computer game development," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 111-126.
    16. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.
    17. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    19. Satish Nambisan & Yadong Luo, 2021. "Toward a loose coupling view of digital globalization," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(8), pages 1646-1663, October.
    20. Ferreira, Joao J. & Fernandes, Cristina I. & Veiga, Pedro Mota & Caputo, Andrea, 2022. "The interactions of entrepreneurial attitudes, abilities and aspirations in the (twin) environmental and digital transitions? A dynamic panel data approach," Technology in Society, Elsevier, vol. 71(C).

    More about this item

    Keywords

    digital innovations; digital services; artificial intelligence; smart services; risk assessment; risk management;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:founma:v:13:y:2021:i:1:p:103-116:n:7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.