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AI-driven innovation within the ICT sector

Author

Listed:
  • Erika GRABOCKA

    (Department of Management, Faculty of Economics, University of Tirana, Tirana, Albania)

  • Ervisa NDOKA

    (Department of Management, Faculty of Economics, University of Tirana, Tirana, Albania)

Abstract

Innovation is pivotal in the competitive landscape of the Information and Communication Technology (ICT) sector, particularly in the context of rapidly evolving technological advancements. This research examines the instrumental role of Artificial Intelligence (AI) in facilitating innovation within the ICT sector, explaining its significance amidst accelerating technological progress. Utilizing articles from reputable high-impact journals published between 2019 and 2024, this paper meticulously analyzes recent contributions to clarify the integration of AI into innovation processes. The study builds upon foundational concepts in innovation management and contemporary advancements in AI frameworks, including AI Centered Design Thinking, the AI Adaptive Three-Horizons Framework, the AI Enabled Open Innovation Paradigm, the AI Specific Stage-Gate Model, and the AI Optimized Lean Startup Methodology, thereby contributing to the ongoing discourse surrounding AI integration in organizations. Employing a comprehensive literature review, the research systematically interrogates peer-reviewed articles from relevant databases, focusing on empirical evidence and theoretical insights regarding the influence of AI on innovation. The findings reveal that the strategic application of these frameworks significantly enhances decision-making efficiency, promotes user-centered design, and mitigates risks associated with AI deployment. The implications of this research are multifaceted, offering critical insights for academics, practitioners, and policymakers within the ICT sector. By highlighting the necessity of ethical considerations such as bias reduction and transparency in AI initiatives, the study emphasizes the imperative of responsible innovation practices. Ultimately, this research uniquely contributes to the field by providing a comprehensive synthesis of existing frameworks and their applicability to AI driven innovation, advocating for the continuous evolution of these frameworks to align with emerging technological trends. This focus affirms the relevance and significance of the study in advancing both theoretical understanding and practical application within the ICT sector.

Suggested Citation

  • Erika GRABOCKA & Ervisa NDOKA, 2025. "AI-driven innovation within the ICT sector," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 9(1), pages 77-97, January.
    • Handle: RePEc:pop:journl:v:9:y:2025:i:1:p:77-97
    DOI: https://doi.org/10.25019/qkspkd85
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    References listed on IDEAS

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    1. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Sumathi Annamalai & Aditi Vasunandan, 2024. "Embracing intelligent machines: A qualitative study to explore the transformational trends in the workplace," Central European Management Journal, Emerald Group Publishing Limited, vol. 32(3), pages 350-367, February.
    3. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    4. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
    5. M.A.P. Pinheiro & D. Jugend & Ana Beatriz Lopes de Sousa Jabbour & C.J. Chiappetta Jabbour & H. Latan, 2022. "Circular Economy-Based New Products and Company Performance: The Role of Stakeholders and Industry 4.0 Technologies," Post-Print hal-04276066, HAL.
    6. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    7. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
    8. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    9. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
    10. Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
    11. Cozzolino, Alessio & Corbo, Leonardo & Aversa, Paolo, 2021. "Digital platform-based ecosystems: The evolution of collaboration and competition between incumbent producers and entrant platforms," Journal of Business Research, Elsevier, vol. 126(C), pages 385-400.
    12. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    13. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    14. Montes, Gabriel Axel & Goertzel, Ben, 2019. "Distributed, decentralized, and democratized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 354-358.
    15. JinHyo Joseph Yun & Xiaofei Zhao & KwangHo Jung & Tan Yigitcanlar, 2020. "The Culture for Open Innovation Dynamics," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    16. Bianchi, Mattia & Marzi, Giacomo & Guerini, Massimiliano, 2020. "Agile, Stage-Gate and their combination: Exploring how they relate to performance in software development," Journal of Business Research, Elsevier, vol. 110(C), pages 538-553.
    17. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    18. Olan, Femi & Ogiemwonyi Arakpogun, Emmanuel & Suklan, Jana & Nakpodia, Franklin & Damij, Nadja & Jayawickrama, Uchitha, 2022. "Artificial intelligence and knowledge sharing: Contributing factors to organizational performance," Journal of Business Research, Elsevier, vol. 145(C), pages 605-615.
    19. Navaneetha Krishnan Rajagopal & Naila Iqbal Qureshi & S. Durga & Edwin Hernan Ramirez Asis & Rosario Mercedes Huerta Soto & Shashi Kant Gupta & S. Deepak & Muhammad Ahmad, 2022. "Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process," Complexity, Hindawi, vol. 2022, pages 1-14, July.
    20. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
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