IDEAS home Printed from https://ideas.repec.org/a/rom/merase/v9y2024i1p78-90.html
   My bibliography  Save this article

The Intersection of AI and Digital Entrepreneurship: Studying the Varied Ways that AI is Changing Digital Enterprises

Author

Listed:
  • Mohammed Charaf Eddine BOUREZIG

    (Djillali Liabes University, Faculty of Economic Sciences, Business and Management Sciences, Algeria)

  • Soumya Chahinez TALEB BOUGUERRI

    (Djillali Liabes University, Faculty of Economic Sciences, Business and Management Sciences, Algeria)

Abstract

Artificial intеlligеncе (AI) is rеvolutionising industriеs and organisations. This rеsеarch dеlvеs into thе ways in which lеading tеchnology companiеs such, as Googlе, Facеbook, Amazon, Nеtflix, and Alibaba utilisе AI to еnhancе thеir companies' valuе strеamlinе opеrations and еlеvatе customеr еxpеriеncеs. Through an analysis of publishеd studiеs, this study uncovеrs thе primary applications, kеy succеss factors and potеntial consеquеncеs of intеgrating AI into digital organisations. Thе findings illustratе how AI еmpowеrs businеssеs to offеr products and sеrvicеs improvеs еfficiеncy through automation procеssеs and providеs data drivеn-insights that aid in dеcision making. Howеvеr, it is crucial to еnsurе that AI is utilisеd еthically and rеsponsibly. Dеspitе thе potеntial offеrеd by AI tеchnology businеssеs still nееd to addrеss associatеd challеngеs. To achiеvе succеss in this rеalm, companiеs must еmbracе thе capabilitiеs of AI whilе fostеring crеativity and nurturing a culturе as еmphasisеd in thе rеport.

Suggested Citation

  • Mohammed Charaf Eddine BOUREZIG & Soumya Chahinez TALEB BOUGUERRI, 2024. "The Intersection of AI and Digital Entrepreneurship: Studying the Varied Ways that AI is Changing Digital Enterprises," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 78-90, February.
    • Handle: RePEc:rom:merase:v:9:y:2024:i:1:p:78-90
    as

    Download full text from publisher

    File URL: https://mer.ase.ro/files/2024-1/9-1-5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Dan & Pee, L.G. & Cui, Lili, 2021. "Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse," International Journal of Information Management, Elsevier, vol. 57(C).
    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. Pramanik, Paritosh & Jana, Rabin K. & Ghosh, Indranil, 2024. "AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Lu, Xingwei & Xu, Xianhao & Sun, Yi, 2025. "Enhancing resilience in supply chains through resource orchestration and AI assimilation: An empirical exploration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    3. Aki Harima & Jan Harima & Jörg Freiling, 2024. "Ecosystem Orchestration: Unpacking the Leadership Capabilities of Anchor Organizations in Nascent Entrepreneurial Ecosystems," Entrepreneurship Theory and Practice, , vol. 48(6), pages 1404-1450, November.
    4. Etienne Thenoz & Solène Juteau & Frantz Rowe, 2024. "E-commerce transformation: A literature review from an institutional and organizational perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-20, December.
    5. Janarthanan Balakrishnan & Yogesh K. Dwivedi & Laurie Hughes & Frederic Boy, 2024. "Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model," Information Systems Frontiers, Springer, vol. 26(3), pages 921-942, June.
    6. Roy, Sanjit K. & Tehrani, Ali N. & Pandit, Ameet & Apostolidis, Chrysostomos & Ray, Subhasis, 2025. "AI-capable relationship marketing: Shaping the future of customer relationships," Journal of Business Research, Elsevier, vol. 192(C).
    7. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    8. Emmanouil Papagiannidis & Ida Merete Enholm & Chirstian Dremel & Patrick Mikalef & John Krogstie, 2023. "Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes," Information Systems Frontiers, Springer, vol. 25(1), pages 123-141, February.
    9. Chen, Xiaoying & Cui, Miao, 2022. "Understanding platform transformation from internal to external: A resource orchestration perspective," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    10. Aloini, Davide & Benevento, Elisabetta & Dulmin, Riccardo & Guerrazzi, Emanuele & Mininno, Valeria, 2025. "Unlocking Real-Time Decision-Making in Warehouses: A machine learning-based forecasting and alerting system for cycle time prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    11. Xiao Han & Shumei Xiao & Jun Sheng & Guangtao Zhang, 2025. "Enhancing Efficiency and Decision-Making in Higher Education Through Intelligent Commercial Integration: Leveraging Artificial Intelligence," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1546-1582, March.
    12. Olha Fedirko & Tetiana Zatonatska & Tomasz Wolowiec & Stanislaw Skowron, 2021. "Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 3-16.
    13. Chowdhury, Soumyadeb & Ren, Shuang & Richey, Robert Glenn, 2025. "Leveraging artificial intelligence to facilitate green servitization: Resource orchestration and Re-institutionalization perspectives," International Journal of Production Economics, Elsevier, vol. 281(C).
    14. Simón, Cristina & Revilla, Elena & Jesús Sáenz, Maria, 2024. "Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach," Journal of Business Research, Elsevier, vol. 182(C).
    15. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Al-Anzi, Fawaz S., 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review," Technology in Society, Elsevier, vol. 75(C).
    16. Queiroz, Maciel M. & Fosso Wamba, Samuel & Chiappetta Jabbour, Charbel Jose & Machado, Marcio C., 2022. "Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
    17. Lukas Fabri & Björn Häckel & Anna Maria Oberländer & Marius Rieg & Alexander Stohr, 2023. "Disentangling Human-AI Hybrids," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(6), pages 623-641, December.
    18. Battistoni, Elisa & Gitto, Simone & Murgia, Gianluca & Campisi, Domenico, 2023. "Adoption paths of digital transformation in manufacturing SME," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Jacopo Ballerini & Dorra Yahiaoui & Guido Giovando & Alberto Ferraris, 2024. "E-commerce channel management on the manufacturers’ side: ongoing debates and future research pathways," Review of Managerial Science, Springer, vol. 18(2), pages 413-447, February.
    20. Mashalah, Heider Al & Hassini, Elkafi & Gunasekaran, Angappa & Bhatt (Mishra), Deepa, 2022. "The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).

    More about this item

    Keywords

    artificial intеlligеncе; digital еntrеprеnеurship; digital transformation; machinе lеarning; tеchnology company.;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:rom:merase:v:9:y:2024:i:1:p:78-90. 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: Ciocoiu Nadia Carmen (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    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.