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AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact

Author

Listed:
  • Abdulaziz Aldoseri

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Khalifa N. Al-Khalifa

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Abdel Magid Hamouda

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

Abstract

Digital transformation systems generate a substantial volume of data, creating opportunities for potential innovation, particularly those driven by artificial intelligence. This study focuses on the intricate relationship between artificial intelligence and innovation as foundational elements in the digital transformation framework for sustained growth and operational excellence. This study provides a holistic perspective on the cultivation and pillars of AI-powered innovation, highlighting their pivotal role in revolutionizing industries, including healthcare, education, finance, manufacturing, transportation, and agriculture. The work emphasizes the key pillars essential for fostering AI-powered innovation, including monitoring performance measurement to use the power of the present, continuous learning and innovation, data analytics and insights, predictive analytics, and innovative product development. This study investigates how these pillars serve as the foundation for groundbreaking advancements, driving efficiency, enhancing decision-making processes, and fostering creativity within organizations. This study explores the significance of continuous learning, interdisciplinary collaboration, and industry partnerships in nurturing a thriving AI-powered innovation ecosystem. By understanding and harnessing these fundamental elements, businesses can navigate the complexities of the digital age, fostering innovation that not only optimizes processes but also enhances the overall human experience, ushering in a new era of technological excellence and societal progress.

Suggested Citation

  • Abdulaziz Aldoseri & Khalifa N. Al-Khalifa & Abdel Magid Hamouda, 2024. "AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact," Sustainability, MDPI, vol. 16(5), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1790-:d:1343415
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    References listed on IDEAS

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    2. Faridah Shariyah binti Sharuddin & Rohayu binti Roddin, 2025. "Frugal Innovation as a Strategy for MSME Resilience in Community-Based Tourism: A Conceptual Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 3697-3706, July.
    3. Mengze Zheng & Te Li & Jing Ye, 2025. "The Confluence of AI and Big Data Analytics in Industry 4.0: Fostering Sustainable Strategic Development," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5479-5515, March.
    4. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
    5. Li, Hao & Wang, He, 2025. "How does a fair competitive policy affect manufacturing enterprises' digital transition? Evidence from the implementation of the fair competition review system," Finance Research Letters, Elsevier, vol. 79(C).
    6. Cristina STATE & Iolanda-Petronela GROSU & Xiaoliang ZHANG, 2025. "Economic Development In The Context Of Digitalization €“ Case Study: Digital Economy Framework In China," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 19(1), pages 58-69, October.
    7. Morgan Alamandi, 2025. "Sustainable Innovation Management: Balancing Economic Growth and Environmental Responsibility," Sustainability, MDPI, vol. 17(10), pages 1-31, May.
    8. Alina Iuliana TABIRCA & Ioan-Marius DRAGOI & Cosmin-Alexandru STEFAN & Cristina Roxana CALINOIU (IONESCU), 2025. "Analysis Of The Impact Of Artificial Intelligence On The Labor Market In The European Union," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 13(1), pages 3-14, February.
    9. Abderahman Rejeb & Karim Rejeb & Imen Zrelli & Yasanur Kayikci & Abdo Hassoun, 2025. "The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques," Flexible Services and Manufacturing Journal, Springer, vol. 37(4), pages 1203-1250, December.
    10. Manzoor Hussain Soomro & Mirza Abdul Aleem Baig, 2024. "AI for Sustainable Development in the Belt and Road Countries - Need for Capacity Building," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(5), pages 1-43, September.
    11. Shalini Rastogi & Deepika Pandita, 2025. "Driving entrepreneurial success: navigating AI-driven transformation through workforce agility and sustainability," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-21, December.
    12. Mazin Alahmadi, 2025. "A Deep Learning-Based Ensemble Framework to Predict IPOs Performance for Sustainable Economic Development," Sustainability, MDPI, vol. 17(3), pages 1-29, January.
    13. Yi-Shuai Xu & A. M. K. Yanti Idaya & Muhammad Shahreeza Safiruz Kassim, 2025. "First to know: profiling readers of early-access articles in the field of AI," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(11), pages 6747-6774, November.
    14. Alwakid, Wafa Naif & Dahri, Nisar Ahmed, 2025. "Harnessing AI capabilities and green entrepreneurial orientation for sustainable SME performance using SEM analysis approach," Technology in Society, Elsevier, vol. 83(C).
    15. Lin, Yu-Cheng & Xu, Xuhong, 2025. "Intelligence-driven Growth: Exploring the dynamic impact of digital transformation on China's high-quality economic development," International Review of Economics & Finance, Elsevier, vol. 101(C).

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