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Maël Schnegg
Title
Prof. PhD
Last Name
Schnegg
First name
Maël
Email
mael.schnegg@unisg.ch
Phone
+41 71 224 74 23
Now showing
1 - 10 of 25
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PublicationStrategies for data analytics projects in business performance forecasting: a field studyType: journal articleJournal: Journal of Management ControlVolume: 33Issue: 2
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PublicationIdentifier et Exploiter avant Tout le Monde de Nouvelles OpportunitésType: journal articleJournal: Expert Focus
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PublicationImpact de la divulgation d’informations sur la responsabilité des entreprises – Des bénéfices extrinsèques et intrinsèques se font sentir( 2020)
;Derchi, Giovanni Battista ;Oyon, DanielType: journal articleJournal: Expert Focus -
PublicationDéploiement d’un système de suivi de l’environnement - Impacts sur la culture organisationnelle des entreprises( 2020)
;Oyon, Daniel ;Dubois, ThibaudDerchi, Giovanni BattistaType: journal articleJournal: Expert Focus -
PublicationFirms need new ways to monitor their environment( 2019)
;Markides, Costas ;Oyon, DanielType: journal articleJournal: London Business School Review -
PublicationLe système de suivi de l’environnement: Le Landscape Monitor pour percevoir les opportunités et les risques( 2017)
;Davila, Antonio ;Oyon, Daniel ;Parmigiani, PilarType: journal articleJournal: Expert Focus -
PublicationLook outside your firm: a tool to sense what’s coming: the landscape monitor( 2015)
;Davila, Antonio ;Oyon, Daniel ;Parmigiani, PilarType: journal articleJournal: IESE InsightVolume: 25Issue: 2 -
PublicationBeyond Pay for Performance – Change enough or don’t change at all( 2022-12-15)Type: conference paper
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PublicationA Management Control oriented Governance Framework for Artificial Intelligence( 2022-11-07)In an age of increasing access to and power of artificial intelligence (AI), ethical concerns, such as fairness, transparency, and human well-being have come to the attention of regulators, standard setting bodies, and organizations alike. In order to build AI-based systems that comply with new rules, organizations will have to adopt systems of governance. This study develops, based on existing frameworks and a multiple case study, a governance framework specifically designed with these challenges in mind: The St. Gallen Governance Framework for Artificial Intelligence focuses on identifying stakeholder concerns and strategic goals, building a management control system, assigning roles and responsibilities, and incorporating dynamism into the system of governance.Type: conference paperJournal: EIASM WORKSHOP ON GOVERNANCE AND MANAGEMENT OF DIGITALIZATION
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PublicationThe design and use of performance management systems in rapid growth ventures( 2021)
;Engelhardt, PhilippType: conference paper
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