AI-driven innovation within the ICT sector
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DOI: https://doi.org/10.25019/qkspkd85
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- 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.
- 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.
- A. Di Vaio & R. Palladino & R. Hassan & O. Escobar, 2020. "Artificial Intelligence and Business Models in the Sustainable Development Goals Perspective: A Systematic Literature Review," Post-Print hal-04457122, HAL.
- 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).
- 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.
- Montes, Gabriel Axel & Goertzel, Ben, 2019. "Distributed, decentralized, and democratized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 354-358.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
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Keywords
artificial intelligence frameworks; innovation management; user-centered design; ethical implications of AI and collaborative innovation;All these keywords.
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