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Exploring the Dynamics of Innovation in the Era of Artificial Intelligence

Author

Listed:
  • Maier Andreea

    (Babes-Bolyai University, Romania)

  • Osoian Codruța

    (Babes-Bolyai University, Romania)

Abstract

Artificial Intelligence (AI) is revolutionizing the landscape of innovation, presenting both unprecedented opportunities and many challenges for individuals, organizations, and societies. The purpose of this paper is to investigate what will happen with innovation in an AI era, through a comprehensive analysis of the dynamics of innovation in the era of AI. Based on a bibliometric analysis we explore the paper annual publication number, the trend topic, the word count and the international interest for this subject. Through an in-dept analysis we observed some transformative changes that will arise: Data-Driven Decision Making, Personalized Customer Experiences, Supply Chain Optimization, Innovation in Financial Services, AI-Powered Entrepreneurship, Job Displacement and Reskilling, Ethical and Regulatory Considerations. By integrating insights from both bibliometric analyses and scenario planning exercises, we offer a nuanced understanding of the opportunities and challenges arising from AI-driven innovation and provide strategic recommendations for navigating the complex terrain of the AI era. The findings contribute to the academic discourse on AI and innovation, inform evidence-based decision-making, and inspire proactive responses to the transformative forces shaping our collective future.

Suggested Citation

  • Maier Andreea & Osoian Codruța, 2024. "Exploring the Dynamics of Innovation in the Era of Artificial Intelligence," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 69(2), pages 1-12.
    • Handle: RePEc:vrs:subboe:v:69:y:2024:i:2:p:1-12:n:1001
    DOI: 10.2478/subboec-2024-0006
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    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
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    3. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    4. Omar. A. Alghamdi & Gomaa Agag, 2023. "Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    5. Aleksandra Kuzior & Mariya Sira & Paulina Brożek, 2023. "Use of Artificial Intelligence in Terms of Open Innovation Process and Management," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    6. Arenal, Alberto & Armuña, Cristina & Feijoo, Claudio & Ramos, Sergio & Xu, Zimu & Moreno, Ana, 2020. "Innovation ecosystems theory revisited: The case of artificial intelligence in China," Telecommunications Policy, Elsevier, vol. 44(6).
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    8. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
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    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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