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Artificial Intelligence for Business

Author

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  • Rajendra Akerkar

    (Western Norway Research Institute)

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Suggested Citation

  • Rajendra Akerkar, 2019. "Artificial Intelligence for Business," SpringerBriefs in Business, Springer, number 978-3-319-97436-1, January.
    • Handle: RePEc:spr:spbrbu:978-3-319-97436-1
    DOI: 10.1007/978-3-319-97436-1
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    Cited by:

    1. Omar H. Fares & Irfan Butt & Seung Hwan Mark Lee, 2023. "Utilization of artificial intelligence in the banking sector: a systematic literature review," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 835-852, December.
    2. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    3. Gerda Zigiene & Egidijus Rybakovas & Rimgaile Vaitkiene, 2020. "Challenges in Applying Artificial Intelligence for Supply Chain Risk Management," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 299-318.
    4. Malik, Ashish & De Silva, M.T. Thedushika & Budhwar, Pawan & Srikanth, N.R., 2021. "Elevating talents' experience through innovative artificial intelligence-mediated knowledge sharing: Evidence from an IT-multinational enterprise," Journal of International Management, Elsevier, vol. 27(4).
    5. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    6. Zhisheng Chen, 2023. "Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 2007-2025, June.
    7. Gerda Žigienė & Egidijus Rybakovas & Rimgailė Vaitkienė & Vaidas Gaidelys, 2022. "Setting the Grounds for the Transition from Business Analytics to Artificial Intelligence in Solving Supply Chain Risk," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    8. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    9. Neştian Andrei Ștefan & Tiţă SilviuMihail & Guţă Alexandra Luciana, 2020. "Incorporating artificial intelligence in knowledge creation processes in organizations," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 597-606, July.
    10. Nebojsa Bacanin & Miodrag Zivkovic & Catalin Stoean & Milos Antonijevic & Stefana Janicijevic & Marko Sarac & Ivana Strumberger, 2022. "Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering," Mathematics, MDPI, vol. 10(22), pages 1-31, November.
    11. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," CREMA Working Paper Series 2021-11, Center for Research in Economics, Management and the Arts (CREMA).
    12. Mónica Santana & Mirta Díaz-Fernández, 2023. "Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives," Review of Managerial Science, Springer, vol. 17(6), pages 1971-2004, August.

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