Federico Pigni est Directeur de la Valorisation et Innovation (Direction de la Valorisation et Innovation) à Grenoble Ecole de Management, où il est Professeur en Systèmes d’Information au sein du département Management de la Technologie et de la Stratégie. Il a précédemment occupé les fonctions de Doyen de la Faculté, de la Pédagogie et de la Recherche. Il est titulaire d’un doctorat en Systèmes d’Information et Supply Chain Management et est diplômé cum laude en Administration et Management des Entreprises.
Sa carrière académique a débuté en Italie, où il a enseigné à l’Université Carlo Cattaneo, à l’Université Catholique de Milan et à l’Università Bocconi. Il a ensuite été chercheur senior au sein du laboratoire Lab#ID RFID de l’Université Carlo Cattaneo et a réalisé un post-doctorat chez France Télécom R&D à Sophia Antipolis, consacré à l’adoption interorganisationnelle des technologies de l’information et de la communication.
Ses travaux de recherche portent sur la manière dont les technologies numériques innovantes favorisent la création de valeur et l’avantage concurrentiel dans des contextes interorganisationnels, avec un intérêt particulier pour leurs effets transformateurs sur les services clients et les modèles d’affaires.
- E-business
- Gestion des systèmes d’information
- Management et technologies de l’information et de la communication
- Systèmes d’information
- Pillet J. C., Carillo K., Pigni F., Vitari C., 2026.Beyond the Screen: Memory-Based Mechanisms and Personal Innovativeness in Voice Assistant Use59th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, Hawaii, Etats-UnisThis study investigates how the mental retrieval ofIT features influences innovative use behaviors withvoice-activated devices (VADs). We conceptualize twomemory-based constructs—IT feature recognition andIT feature recall—and examine their complex interplay.We theorize that their influence is moderated by users'personal innovativeness. Using a survey of 319 smartspeaker owners, we found that both recognition andrecall enhance innovative use, but their effects differsignificantly based on an individual's disposition toinnovate with IT. For users with high innovativeness, ITfeature recognition drives innovation, while for thosewith low innovativeness, both recall and recognitioncontribute. These findings suggest that memory-basedmechanisms are critical enablers of innovative use,highlighting the need for interfaces that support memorycues to foster broader feature utilization and innovativeoutcomes in voice-based interfaces.
- Crupi A., Elia G., Pigni F., Raguseo E., Solazzo G., 2025.Editorial for the Special Section on “Twin Transition and Entrepreneurial Behavior: Navigating the Path to Green and Digital Transformation for Sustainable EntrepreneurshipIEEE Transactions on Engineering Management, 72: 3335-3341This special issue comprises seven articles exploring various facets of digital transformation and sustainability within entrepreneurial, corporate, and financial contexts. The articles showcase a variety of theoretical frameworks and empirical methodologies, including resource-based view (RBV), dynamic capabilities, complex adaptive systems, patent analytics, econometric modeling, and in-depth case studies. A unifying thread running through these studies is the recognition that digital capabilities–whether in the form of AI, fintech, data analytics, or broader transformation process and infrastructures–derive their transformative potential when aligned with sustainability imperatives. Their true value emerges when leveraged to support the strategic objectives of environmental and social impact, and when embedded within a broader cultural, organizational, and policy framework geared toward responsible innovation.
- Iris Junglas I., Noel Carroll N., Ives B., Bill Kettinger B., Hope Koch H., Martin Mocker M., Fred Niederman F., Piccoli G., Pigni F., Jeffrey Proudfoot J., Watson R. T., 2025.Editorial Reflection on Generative AI and Doctoral Education in Information SystemsMIS Quarterly Executive, 24, 3: article 2
- Pillet J. C., Carillo K., Pigni F., Vitari C., 2025.The Impact of IT Equivocality on Postadoptive Use Behaviors: Development and Validation of a Multidimensional ConstructEuropean Journal of Information Systems, 34, 2: 249-276
- Omezzine M. A., Pigni F., Lucia Billeci L., Vittorio Meini V., Lorenzo Bachi L., Giorgia Procissi G., 2025.From biometric wearables to sustainable pedagogy: linking sensors, ai, and educationSymposium pour l’électronique et le numérique durables, IRT Nanoelec, Grenoble, France
- Pillet J. C., Carillo K., Vitari C., Pigni F., 2025.System Feature Awareness and Retrieval Strategies in the Use of Voice-Activated DevicesAmericas Conference on Information Systems (AMCIS 2025), AIS Association for Information System, Montreal, CanadaUsers rarely take full advantage of the unprecedented possibilities offered by IT in the post-adoptive stage of use, creating a feature-use paradox. This paradox is particularly pronounced in the context of voice-activated devices (VADs), such as smart voice assistants, as VADs require users to rely entirely on memory when interacting with them. In this setting, we theorize that users' ability to recall which system features are available is crucial for effectively engaging with VADs and can thus shed light on the feature-use paradox. We define IT Feature Awareness in the context of VADs by adapting the brand awareness concept from marketing research, and we develop a conceptual model rooted in adaptive system use theory that captures the expected impact of IT feature awareness on innovative use behaviors. We conclude this work-in-progress by outlining our data collection plans and expected contribution to the post-adoptive IT use stream of the IS literature.
- Narducci F., Lippa G., Baker G., Walsh D., Sofia F., Casalino N., Pigni F., Louissi S., Philipova I., Duttenhöfer S., Ricci L., Sancetta B., Lanzone J., Tombini M., Di Lazzaro V., Assenza G., 2025.Epilepsy and Employment in Europe: A Systematic Review of LiteratureEuropean Journal of Neurology, 32, 4: e70129
- Vittorio Meini V., Omezzine M. A., Lorenzo Bachi L., Pigni F., Giorgia Procissi G., Lucia Billeci L., 2025.Artificial Intelligence for the Analysis of Biometric Data from Wearables in Education: A Systematic ReviewSensors, 25, 22: 7042Wearable devices provide reliable biometric measurements in different contexts, and AI algorithms are increasingly being used to analyze this data. The objective of this review is to examine the use of wearable devices to collect biometric data combined with AI algorithms in an educational setting. A systematic review was conducted through the PRISMA methodology, by searching the Scopus database for works that included wearables, biometrics, and AI algorithms. A total of 43 studies were included and examined. The objectives, the type of collected data, and the methodologies of the included studies were investigated. Most articles utilized machine learning and deep learning algorithms for classification tasks, such as detecting stress or attention. Other applications included human activity recognition (HAR) for classroom orchestration and emotional or cognitive state detection. Many of the studies applied knowledge from previous works to the educational context, resembling exploratory research. Conversely, some authors developed tasks and methodologies tailored to the educational context. The strengths and weaknesses of the presented studies were discussed to propose future research directions. The main findings of this review highlight the advantages of the combination of multimodal sensing and predictive modeling in education with the eventual prospect of personalization. The absence of standardized acquisition and reporting remains the main barrier to replication, benchmarking, and synthesis across studies.
- Elia G., Solazzo G., Lerro A., Pigni F., Tucci C. L., 2024.The digital transformation canvas: A conceptual framework for leading the digital transformation processBusiness Horizons, 67, 4: 381-398Digital transformation has garnered significant interest within the research and business communities and has become an umbrella concept to address the multiple technological, strategic, operational, and leadership dimensions involved in digitally enabled organizational renewal. Such transformation spans beyond mere automation of existing practices to a radical change of the business scope. Despite this increased attention, a shared understanding of exactly what digital transformation encompasses and how a digital transformation initiative can be defined and led is still underdeveloped. This article aims to contribute to this research gap by identifying the multifaceted conceptual and applied dimensions of digital transformation and integrating them into a single, unifying framework. Based on a synthesis of extensive yet fragmented literature and feedback from domain experts, we present a conceptual map (i.e., a Canvas) for successful digital transformation initiatives. In addition, we identify the key elements through which one can lead implementation (i.e., roles, competencies, behaviors, and enablers). The article contributes both to academia—by advancing the meaning and constituent factors of digital transformation—and practitioners, with the formulation of a conceptual tool for managers engaged in a systemic design of digital transformation initiatives.
- Narducci F., Walsh D., Baker G., Sofia F., Casalino N., Borin B., Pigni F., Louissi S., Kateva M., Duttenho¨fer S., Tombini M., Lazzaro V., Assenza G., 2024.EpilepsyPOWER: A Project to Favour the Inclusion of People with Epilepsy in WorkplacesEMJ Neurology, 12.1: 56-58
