Niousha Shahidi
Présentation
Dr. Niousha Shahidi, PhD in Applied Mathematics (University Paris Dauphine, France), is a Full Professor of data analysis at EDC Paris Business School and a member of OCRE Research Lab, Paris (France). Her thesis dealt with optimization problems in insurance models (Ceremade). She worked at the Laboratory of Econometrics of Ecole Polytechnique Paris. Her research work initially focused on the theory of decision. More recently, she has applied her mathematical knowledge to technology acceptance models and entrepreneurial intention by using structural equation modelling or cluster analysis. She has published in international journals: Journal of Retailing and Consumer Services, Journal of Global Information Management, Economics Bulletin, The Geneva Papers on Risk and Insurance...
Publications
Publications
Learning Analytics, privacy and GDPR: the impossible balance ?What managers want and real-world needs, International Marketing Trends Conference, Jan 2025, Venice, Italy
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hal-04939900
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Explaining the Intention to Use a Health Tracking Application During the Pandemic3rd International Conference on Digital, Innovation, Entrepreneurship & Financing, Dec 2021, Lyon, France
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hal-04099333
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Une classification des télétravailleurs évoluant entre autonomie et contrôle : vers un ré-enchantement de l’expérience collaborateur ?@GRH, 2025, N° 55 (2), pp.13-44. ⟨10.3917/grh.055.0013⟩
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hal-05344787
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Travail hybride : une expérience collaborateur réinventée comme antécédent de l’engagement ?RIMHE : Revue Interdisciplinaire Management, Homme(s) & Entreprise, 2025, n° 58, vol. 14 (1), pp.45-61. ⟨10.3917/rimhe.058.0045⟩
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hal-05136609
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Behavioural intention to use a contact tracing application: The case of StopCovid in FranceJournal of retailing and consumer services, 2022, 68, pp.102998. ⟨10.1016/j.jretconser.2022.102998⟩
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hal-03666263
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Cross-Cultural Effects in Adoption Patterns of a Mobile Coaching Service for Studies : A Comparison Between France and MexicoJournal of Global Information Management, 2021, 29 (6), ⟨10.4018/jgim.20211101.oa33⟩
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hal-03233537
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