@article {Marhraoui202273,
	title = {An Integrated Human-AI Framework Towards Organizational Agility and Sustainable Performance},
	journal = {Lecture Notes in Networks and Systems},
	volume = {393},
	year = {2022},
	note = {cited By 0},
	pages = {73-87},
	abstract = {Companies are facing important challenges related to markets{\textquoteright} internationalization, regulatory restrictions and fierce competition especially during the COVID19 crisis. They should embrace change and be agile in order to prevent risks and seize opportunities quickly and efficiently. In this article, we examine how artificial intelligence (AI) can help companies to enhance their organizational agility. Based on two systematic literature reviews on the subject, we identified the weaknesses on relying only on a digital enabler or human resource (HR) practices. Thus, we propose a Framework integrating artificial intelligence and human practices in order to help companies in their efforts towards agility. This latter allows companies to adapt to new regulations in the society, to customers{\textquoteright} expectations and to environmental changes. Ultimately, agile companies can ensure a sustainable performance. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-030-94191-8_7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126366475\&doi=10.1007\%2f978-3-030-94191-8_7\&partnerID=40\&md5=4c0dbf6b63d522b43d9b875419dae280},
	author = {Marhraoui, M.A. and Janati Idrissi, M.A. and El Manouar, A.}
}
@conference {Marhraoui2021133,
	title = {An integrated human-AI Framework towards organizational agility and sustainable performance},
	booktitle = {Proceedings - 2021 International Conference on Digital Age and Technological Advances for Sustainable Development, ICDATA 2021},
	year = {2021},
	note = {cited By 0},
	pages = {133-139},
	abstract = {Companies are facing important challenges related to markets{\textquoteright} internationalization, regulatory restrictions and fierce competition especially during the COVID19 crisis. They should embrace change and be agile in order to prevent risks and seize opportunities quickly and efficiently. In this article, we examine how artificial intelligence (AI) can help companies to enhance their organizational agility. Based on two systematic literature reviews on the subject, we identified the weaknesses on relying only on a digital enabler or human resource (HR) practices. Thus, we propose a Framework integrating artificial intelligence and human practices in order to help companies in their efforts towards agility. This latter allows companies to adapt to new regulations in the society, to customers{\textquoteright} expectations and to environmental changes. Ultimately, agile companies can ensure a sustainable performance. {\textcopyright} 2021 IEEE.},
	keywords = {Artificial intelligence, Customer expectation, Decision making, Decisions makings, Environmental change, Environmental regulations, Human practices, Human resource practices, internationalisation, Organizational agility, Seizing, Sustainable development, Sustainable performance, Systematic literature review},
	doi = {10.1109/ICDATA52997.2021.00035},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119507801\&doi=10.1109\%2fICDATA52997.2021.00035\&partnerID=40\&md5=af6ef5c548c44726a28be19a747ef11f},
	author = {Marhraoui, M.A. and Idrissi, M.A.J. and El Manouar, A.}
}
@article {Hba2020165,
	title = {ICT sustainable management: Towards a better alignment with the sustainable development strategy},
	journal = {International Journal of Advanced Technology and Engineering Exploration},
	volume = {7},
	number = {71},
	year = {2020},
	note = {cited By 1},
	pages = {165-181},
	abstract = {The impact of Information and Communication Technologies (ICT) in terms of Sustainable Development (SD) has led to a great transformation in business management, which positions innovation as an essential element of differentiation for the new market conquest. These ICT, that are particularly adapted, allow creating value for the company in a sustainable way and more aligned with the global SD strategy while ensuring to bring competitive advantage and anticipate new economic, social and environmental problems. To implement an innovation approach that gives organizations the means to develop sustainable management strategies, allowing them to increase overall performance, we proposed the "ICT Sustainable Management" model which is designed according to a Green IT (GIT) and Corporate Social Responsibility (CSR) concepts in order to seek new transition ways for management serving SD. Our model constitutes a first research step to lead reflection on next-generation SD-oriented management models. For this reason, we consider it more appropriate to approve the validity of our model through its application on different categories of companies that use ICT. Analysis of the results of this application test has demonstrated the validity of our model at the scale of five companies. This initial validation will be supported by improvements and new tests that will be extremely useful to improve the model and to advance knowledge in this new field of research. {\textcopyright} 2020, Accent Social and Welfare Society. All rights reserved.},
	doi = {10.19101/IJATEE.2020.762062},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097425123\&doi=10.19101\%2fIJATEE.2020.762062\&partnerID=40\&md5=53e6edd0ff8af3389d0e1148a4431567},
	author = {Hba, R. and Idrissi, M.A.J. and El Ghaib, M.K. and El Manouar, A.}
}
@article {Hba2018137,
	title = {ICT green alignment: Towards a new generation managerial model based on green IT and corporate social responsibility},
	journal = {International Journal of Advanced Computer Research},
	volume = {8},
	number = {36},
	year = {2018},
	pages = {137-147},
	doi = {10.19101/IJACR.2018.836018},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049530379\&doi=10.19101\%2fIJACR.2018.836018\&partnerID=40\&md5=7ae04b8c823bb73411d46c0ba496f8e6},
	author = {Hba, R. and El Manouar, A.}
}
