@article {Iraqi2021506,
	title = {Data Analytics in Investment Banks},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {5},
	year = {2021},
	note = {cited By 0},
	pages = {506-513},
	abstract = {Capital Markets are one of the most important pillars of worldwide economy. They gather skilled finance and IT professionals as well as economists in order to take the best investment decisions and choose the most suitable funding solutions every time. Data analytics projects in Capital Markets can definitely be very beneficial as all optimizations and innovations would have a financial impact, but can also be very challenging as the field itself has always incorporated a research component, thus finding out what could really be of an added value might be a tricky task. Based on a comprehensive literature review, this paper aims to structure the thoughts around data analytics in investment banks, and puts forward a classification of relevant data analytics use cases. Lastly, it also discusses how transforming to a data-driven enterprise is the real change investment banks should aim to achieve, and discusses some of the challenges that they might encounter when engaging in this transformation process. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Commerce, Data analytic use case, Data Analytics, Data driven, Data-driven transformation, Financial impacts, Financial markets, Investment bank, Investment decisions, Investments, IT professional, Metadata, Optimisations},
	doi = {10.14569/IJACSA.2021.0120562},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107532071\&doi=10.14569\%2fIJACSA.2021.0120562\&partnerID=40\&md5=7237f6b38c7eedbe1f23bb2968802d60},
	author = {Iraqi, B. and Benhiba, L. and Idrissi, M.A.J.}
}
@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.}
}
@conference {Boukhayma202037,
	title = {Evaluating Ongoing Decision Support System: A Case Study},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	pages = {37-42},
	abstract = {The aim of this paper is to put into practice a framework we proposed in an earlier work for evaluating on-going decision support systems. The framework serves as a base for a method to compute evaluation criteria scores using an AHP model. The paper also illustrates the automation of this method into a tool to enable GASCO company to choose between two already implemented DSSs in order to reduce IT operating cost. The evaluation covers three axes: Process, outcome and decision maker metrics. The results highlight the importance of using users{\textquoteright} learning as a measure to determine DSS success. {\textcopyright} 2020 ACM.},
	keywords = {Decision makers, Decision making, Decision support systems, Evaluation criteria, Intelligent systems, Three axes},
	doi = {10.1145/3419604.3419802},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096414260\&doi=10.1145\%2f3419604.3419802\&partnerID=40\&md5=d07ab659252fea5554cc22b2500955cb},
	author = {Boukhayma, K. and Idrissi, M.A.J. and Benhiba, L.}
}
@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.}
}
@conference {Drissi2020593,
	title = {Sensor-based solutions for mental healthcare: A systematic literature review},
	booktitle = {HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020},
	year = {2020},
	note = {cited By 2},
	pages = {593-600},
	abstract = {Mental well-being is a crucial aspect of the person{\textquoteright}s general health, compromised mental health impairs the person{\textquoteright}s functioning, decreases the quality of life, and limits the person{\textquoteright}s contribution to society. The mental health industry is still facing some barriers to healthcare delivery such as costs, mental health illiteracy, and stigma. Incorporating technological interventions in the treatment and the diagnosis processes might help overcome these barriers. Sensors are devices that have been used for healthcare since the 1990s and have been incorporated into mental healthcare in different forms. In this study, we conducted a systematic literature review to identify and analyze sensor-based solutions for mental healthcare. 12 studies were identified and analyzed. The majority of the selected studies presented methods and models and were empirically evaluated and showed promising accuracy results. Different types of sensors were used to collect different types of data about the patient such as physical and behavioral information. The selected studies mainly addressed the use of sensors for common mental issues like stress and depression or the analysis of general mental status. Some studies reported some limitations mainly related to technological issues and lack of standards. {\textcopyright} 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Biomedical engineering, Health care, Healthcare delivery, Medical informatics, Mental health, Quality of life, Systematic literature review, Well being},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083705930\&partnerID=40\&md5=335f69fa969e09929802b364d7f6d696},
	author = {Drissi, N. and Ouhbi, S. and Garc{\'\i}a-Bern{\'a}, J.A. and Idrissi, M.A.J. and Ghogho, M.}
}
@article {Chaker20176182,
	title = {The dynamic adaptive sustainability balanced scorecard: A new framework for a sustainability-driven strategy},
	journal = {International Journal of Applied Engineering Research},
	volume = {12},
	number = {16},
	year = {2017},
	note = {cited By 0},
	pages = {6182-6191},
	abstract = {The Sustainability Balanced Scorecard (SBSC) has been widely recognized as a valuable decision aid approach in the management of sustainability. Controversy is nevertheless still prevalent on which SBSC architecture is most suitable for which organizational context. Moreover, the literature unveils some structural flaws in SBSC design methodologies that remain up till now fundamentally based on intuitionist mental models and subjective judgment. Building upon existing critical evaluations and the gaps to be addressed, we propose in this paper a new sustainability decision aid framework based on a novel combination of Multi-Criteria Decision Making methods (MCDM), Fuzzy logic, and System Dynamics modeling. The resulting framework, denoted as the Dynamic Adaptive SBSC (D-ASBSC), offers the advantage of high adaptability, comprehensiveness, and unbiased methodical cause-effect relationship construction. In addition, thanks to a systematic rule-based generation of the causal loop diagram and the stock-flow chart, the D-ASBSC permits to effectively remedy to the infamous mental models restriction that has long been raised in System Dynamics modeling. {\textcopyright} Research India Publications.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029754284\&partnerID=40\&md5=2b1805b81731ebbb7b35691824759d36},
	author = {Chaker, F. and Manouar, A.E. and Idrissi, M.A.J.}
}
@book {Khaled2013166,
	title = {A semi-structured methodology for ERP system selection based on MACBETH and choquet integral applied to small and medium sized enterprises},
	series = {Modern Entrepreneurship and E-Business Innovations},
	year = {2013},
	note = {cited By 1},
	pages = {166-185},
	abstract = {Historically, Enterprise Resource Planning (ERP) systems were initially destined to large companies in order to standardize and streamline their key business processes. Recently, they have been increasingly adopted by Small and Medium Enterprises (SMEs). However, making strategic tradeoffs among the various marketplace solutions is a troublesome balance task for SMEs without the rescue of systematic multicriteria decision approaches. This paper addresses the question of how to choose an ERP solution that best suits a given SME. It serves twofold objectives; firstly it defines a set of selection criteria related to SMEs{\textquoteright} context. Secondly, it presents a selection methodology based on the construction of an induced decision model through capturing the decision maker{\textquoteright}s preferences. The key contribution of this paper is the introduction of a new iterative learning based approach destined to make enlightened decisions through the consideration of interdependencies among the adopted selection criteria thanks to the Choquet Integral. {\textcopyright} 2013 by IGI Global. All rights reserved.},
	doi = {10.4018/978-1-4666-2946-2.ch012},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944072492\&doi=10.4018\%2f978-1-4666-2946-2.ch012\&partnerID=40\&md5=f8329adbf7b7c52fdb6edb6d35746c09},
	author = {Khaled, A. and Idrissi, M.A.J.}
}
@conference {Hiba2012948,
	title = {An SNA-based evaluation framework for virtual Teams},
	booktitle = {Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012},
	year = {2012},
	note = {cited By 0},
	pages = {948-953},
	doi = {10.1109/ASONAM.2012.241},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874267883\&doi=10.1109\%2fASONAM.2012.241\&partnerID=40\&md5=097bf8b3528b33dec79c30e080e98ebe},
	author = {Hiba, L.B. and Idrissi, M.A.J.}
}
@conference {Khaled2011339,
	title = {A framework for ERP evaluation and selection using macbeth technique},
	booktitle = {ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems},
	volume = {1 DISI},
	year = {2011},
	note = {cited By 2},
	pages = {339-342},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865136975\&partnerID=40\&md5=f049cbf45902225041bc1a10dec72db9},
	author = {Khaled, A. and Idrissi, M.A.J.}
}
