Publications

Exadaktylos D., Riccaboni M. & Rungi A. (2023). Talents from Abroad. Foreign managers and productivity in the United Kingdom, International Economics, vol. 177, 100474.

Incerti, F., Bargagli-Stoffi, F. J., & Riccaboni, M. (2023). A Two-Country Study of Default Risk Prediction Using Bayesian Machine-Learning. International Conference on Machine Learning, Optimization, and Data Science (pp. 188-192).

Bellucci C. & Rungi A. (2023). Navigating Uncertainty: Multinationals’ Investment Strategies after the Pandemic Shock, Italian Economic Journal, vol. 9 pages 967–996, in the Special Issue 'The Future of Global Value Chains and International Trade: An EU perspective'. 

Micocci F. & Rungi A. (2023). Predicting exporters with machine learning, World Trade Review, vol. 22(5) pages 584-607 (2023). 

Bargagli Stoffi, F. J., Incerti, F., Riccaboni, M., & Rungi, A. (2023). Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values. Industrial and Corporate Change.

Rungi, A., Fattorini, L., & Huremovic, K. (2023). Measuring the input rank in global supply networks. The World Economy, 46(10), 3081-3115.

Balzano, M., & Marzi, G. (2023). Agile Approaches in NPD Teams: Exploring Team Learning from Project Failures and Successes. IPDMC Conference.

Marzi, G., & Rialti, R. (2023). Agile Beyond Software for Innovation. IPDMC Conference.

Saggese, P., Belmonte, A., Dimitri, N., Facchini, A., & Bohme, R. (2023). Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform. Journal of Economic Behavior & Organization,  213, 251-270.

Bilancini, E., Boncinelli, L., & Vicario, E. (2023). Assortativity in cognition. Scientific Reports, 13(1), 3412.

Marzi, G., Marrucci, A., Vianelli, D., & Ciappei, C. (2023). B2B digital platform adoption by SMEs and large firms: Pathways and pitfalls. Industrial Marketing Management, 114, 80-93.

Marzi, G., Balzano, M., Egidi, L., & Magrini, A. (2023). CLC Estimator: a tool for latent construct estimation via congeneric approaches in survey research.  Multivariate Behavioral Research, 58(6), 1160-1164.

Masti, D., Fabiani, F., Gnecco, G., & Bemporad, A. (2023). Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. IEEE Control Systems Letters.

Balzano, M., & Marzi, G. (2023). Cultivating Connections Beyond the Borders: A Cultural and Historical Exploration of Osmiza/Osmica. Online Reputation Management in Tourism and Hospitality Conference.

Kyrdoda, Y., Marzi, G., Dabić, M., & Daim, T. U. (2023). Cybersecurity Technology: An Analysis of the Topic from 2011 to 2021. Cybersecurity (pp. 23-38).

Bilancini, E., Boncinelli, L., Guarnieri, P., & Spadoni, L. (2023). Delaying and motivating decisions in the (Bully) dictator game. Journal of Behavioral and Experimental Economics, 107, 102106.

Ciacci, A., Balzano, M., & Marzi, G. (2023). Digital alignment and strategic flexibility in shaping business model efficiency: Evidence from SMEs in the manufacturing industry. EURAM Annual Conference 2023.

Balzano, M., Ciacci, A., Marzi, G., Jovanovic, M., Vlacic, B., & Dabic, M. (2023). Disentangling the Digital Strategy Landscape: An Integrative Literature Review on Digital Business Models. Academy of Management Proceedings (Vol. 2023, No. 1, p. 14900).

Marzi, G., Fakhar Manesh, M., Caputo, A., Pellegrini, M. M., & Vlačić, B. (2023). Do or do not. Cognitive configurations affecting Open Innovation adoption in SMEs. Technovation, 119, 102585.

Cantarella, M., Fraccaroli, N, & Volpe, R. (2023). Does fake news affect voting behaviour? Research Policy, 52(1), 104628.

Muscillo, A., Pin, P., Razzolini, T., & Serti, F. (2023). Does “network closure” beef up firms’ performance?. Social Networks, 73, 89-103. 

Ciacci, A., Balzano, M., Marzi, G., & Marrucci, A. (2023). Enhancing Business Model Efficiency through Digital Alignment and Strategic flexibility: Evidence from Italy. R&D Management Conference 2023.

Bellandi, T., Albolino, S., & Bilancini, E. (2023). Ergonomics and Nudging. Congress of the Italian Society of Ergonomics and Human Factors (pp. 1-9).

Cantarella, M., Neri, A., & Ranalli, M. G. (2023). Estimating the distribution of household wealth: methods for adjusting survey data estimates using national accounts and rich list data. Review of Income and Wealth.

Pegan, G., Ranfagni, S., Marzi, G., & De Luca, P. (2023). Ethical app adoption among Gen Y and Z: extending the UTAUT2 model with green values, religiosity, and ethical-minded consumer behaviors. EMAC Annual Conference 2023 (pp. 1-6).

Balzano, M., & Marzi, G. (2023). Exploring the pathways of learning from project failure and success in new product development teams. Technovation, 128, 102878.

Amato, S., Patuelli, A., Basco, R., & Lattanzi, N. (2023). Family Firms Amidst the Global Financial Crisis: A Territorial Embeddedness Perspective on Downsizing. Journal of Business Ethics, 183(1), 213-236.

Bilancini, E., Boncinelli, L., & Di Paolo, R. (2023). Game-based education promotes practices supporting sustainable water use. Ecological Economics, 208, 107801.

Di Paolo, R., & Pizziol, V. (2023). Gamification and Sustainable Water Use: The Case of the BLUTUBE Educational Program. Simulation & Gaming, 10468781231181652.

Dal Maso, L., Gianfagna, L., Maglione, F., & Lattanzi, N. (2023). Going green: Environmental risk management, market value and performance. Corporate Social Responsibility and Environmental Management, 31(1), 122-132.

Mastrandrea, R., Cecchetti, L., Lettieri, G., Handjaras, G., Leo, A., Papale, P., Gili, T., Martini, N., Latta, D., Chiappino, D., Pietrini, P., & Ricciardi, E. (2023). Information load dynamically modulates functional brain connectivity during narrative listening. Scientific Reports, 13(1), 8110.

Muscillo, A., Pin, P., Razzolini, T., & Serti, F. (2023). Insumos Importados, rendimiento de empresa y características de las cadenas de suministro. Resúmenes de la VI Jornada de Investigación en Internacionalización (pp. 69-77).

Aletti, G., Crimaldi, I., & Ghiglietti, A. (2023). Interacting innovation processes. Scientific Reports, 13(1), 17187.

Crimaldi, I., Louis, P., & Minelli, I. (2023). Interacting non-linear reinforced stochastic processes:  synchronization or non-synchronization. Advances in Applied Probability, 55(1), 275-320.

Trabucchi, D., Patrucco, A. S., Buganza, T., & Marzi, G. (2023). Is transparency the new green? How business model transparency influences digital service adoption. Technovation, 126, 102803.

Kyrdoda, Y., Balzano, M., & Marzi, G. (2023). Learn to survive crises: The role of firm resilience, innovation capabilities and environmental dynamism. Technology in Society, 74, 102285.

Blanos, R., Beneventi, N., Bisanti, M., D'Alessandro, M., Di Paolo, R., Manna, D., Massolino, G., Peratoner, L., & Petrera, F. (2023). Let Them Dive into Ocean Science: The Role of Research Institutions in Public Engagement. Development, 66(1), 127-131.

Panizza, F., Ronzani, P., Martini, C., Mattavelli, S., & Morisseau, T. (2023). Listening to Crowdsourced Fact-Checking.

Annosi, M. C., Balzano, M., Ciacci, A., Marzi, G., & Terlouw, J. (2023). Managing Generational Tensions Toward Digital Transformation: A Microfoundational Perspective. IEEE Transactions on Engineering Management.

Biancalani, F., Gnecco, G., Metulini, R., & Riccaboni, M. (2023). Matrix Completion for the Prediction of Yearly Country and Industry-Level CO_2 Emissions. International Conference on Machine Learning, Optimization, and Data Science (pp. 14-19)

Gnecco, G., Nutarelli, F., & Riccaboni, M. (2023). Matrix completion of world trade: an analysis of interpretability through Shapley  values. The World Economy, 46(9), 2707-2731.

Metulini, R., & Gnecco, G. (2023). Measuring players' importance in basketball using the generalized Shapley value. Annals of Operations Research, 325(1), 441-465.

Bilancini, E., Boncinelli, L., & Spadoni, L. (2023). Motivating risky choices increases risk taking. Journal of Neuroscience, Psychology, and Economics.

Fantoni, F., Bacigalupo, A., Gnecco, G., & Gambarotta, L. (2023). Multi-objective optimal design of mechanical metafilters based on principal component analysis. International Journal of Mechanical Sciences, 248, 108195.

Catola, M., D'Alessandro, S., Guarnieri, P., & Pizziol, V. (2023). Multilevel public goods game: Levelling up, substitution and crowding-in effects. Journal of Economic Psychology, 97, 102626.

Mastrogiorgio, A., & Lattanzi, N. Opaque decision-making in organizations. International Journal of Organizational Analysis, 31(5), 1243-1256.

Pizziol, V., Demaj, X., Di Paolo, R., & Capraro, V. (2023). Political ideology and generosity around the globe. Proceedings of the National Academy of Sciences, 120(15), e2219676120.

Byrne, S. A., Reynolds, A. P. F., Biliotti, C., Bargagli-Stoffi, F. J., Polonio, L., & Riccaboni, M. (2023). Predicting choice behaviour in economic games using gaze data encoded as scanpath images. Scientific Reports, 13(1), 4722.

Huremovic, K., Jiménez, G., Moral-Benito, E., Luis Peydró, J., & Vega-Redondo, F. (2023). Production and Financial Networks in Interplay: Crisis Evidence from Supplier-Customer and Credit Registers. BSE Working paper. 

Leal-Rodríguez, A. L., Marrucci, A., Marzi, G., & Rialti, R. (2023). Shaping Future Collaborative Innovation Processes: Exploring the Roles of 4.0 Technologies and Organizational Culture. R&D Management Conference 2023.

Capraro, V., Di Paolo, R. et al. (2023). Social and moral psychology of COVID-19 across 69 countries. Scientific data, 10(1), 272.

Crimaldi, I., Louis, P., & Minelli, I. G. (2023). Statistical test for an urn model with random multidrawing and random addition. Stochastic Processes and their Applications, 158, 342-360.

Gnecco, G., Landi, S., & Riccaboni, M. (2023). The emergence of social soft skill needs in the post COVID-19 era. Quality & Quantity, 58(1), 647-680.

Kitzler, S., Balietti, S., Saggese, P., Haslhofer, B., & Strohmaier, M. (2023). The Governance of Distributed Autonomous Organizations: A Study of Contributors' Influence, Networks, and Shifts in Voting Power. Financial Cryptography and Data Security: 28th International Conference.

Chiarello, F., Fioretti, D., Antognozzi, T., Bertani, F. R., Bilancini, E., Bisanti, M., Boncinelli, L., Businaro, L., Di Paolo, R., Gerardino, A., & Iurescia, S. (2023). The Language of Life: A Game-Based Workshop for Introducing Protein Biosynthesis. Proceedings of the 17th European Conference on Game-Based Learning.

Biancalani, F., Gnecco, G., & Metulini, R. (2023). The relationship between players’ average marginal contributions and salaries: an application to NBA basketball using the generalized Shapley value. Statistica Applicata, 1-29. 

Patrucco, A. S., Marzi, G., & Trabucchi, D. (2023). The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions. Technovation, 126, 102814.

Balzano, M., Ciacci, A., & Marzi, G. (2023). The Role of Digital Alignment and Strategic Flexibility in Shaping Business Model Efficiency. Academy of Management Proceedings (Vol. 2023, No. 1, p. 14843).

Balzano, M., & Marzi, G. (2023). Unraveling the Factors Influencing Team Learning in New Product Development: Lessons from Failure and Success. R&D Management Conference 2023

Hidalgo, A., Riccaboni, M., & Velazquez, F. J. When local business faded away: the uneven impact of Airbnb on the geography of economic activities. Cambridge Journal of Regions, Economy and Society, 16(2), 335-348.

Buyukyazici, D., Mazzoni, L., Riccaboni, M., & Serti, F. (2023). Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions. Regional Studies, 58(3), 469-489.

Pegan, G., Ranfagni, S., Marzi, G., & De Luca, P. (2023). Young consumer intention to use mobile ethical applications in consumption choices: an extension of the UTAUT2 model. XX Annual SIM Conference.

Kelchtermans, S., Leten, B., Rabijns, M., & Riccaboni, M. (2022). Do licensors learn from out-licensing? Empirical evidence from the pharmaceutical industry. Technovation, 112, 102405. 

Jommi, C., Apolone, G., Scroccaro, G., Acciai, V., Addis, A., Ardizzoni, A., ... & Popoli, P. (2022). Drugs price and reimbursement regulation: comparators, endpoints and role of the cost-effectiveness. Global & Regional Health Technology Assessment, 9(1), 99-104. 

Riccaboni, M., Swoboda, T., & Van Dyck, W. (2022). Pharmaceutical net price transparency across european markets: Insights from a multi-agent simulation model. Health Policy, 126(6), 534-540. 

Longo, L., Riccaboni, M., & Rungi, A. (2022). A neural network ensemble approach for GDP forecasting. Journal of Economic Dynamics and Control, 134, 104278. 

Niederreiter, J., & Riccaboni, M. (2022). The impact of product innovation announcements on firm value: evidence from the bio-pharmaceutical industry. Industry and Innovation, 29(1), 25-52. 

Costa, E., Cappellini, M. D., Rivella, S., Chilin, A., Alessi, E., Riccaboni, M., ... & Luzzatto, L. (2022). Emergent treatments for β-thalassemia and orphan drug legislations. Drug Discovery Today, 103342. 

Zaninotto, F., Bossi, F., Terry, P., Riccaboni, M., & Galli, G. (2022). The evolution of psychological and behavioral consequences of self-isolation during lockdown: a longitudinal study across United Kingdom and Italy. Frontiers in Psychiatry, 13. 

Li, X., Verginer, L., Riccaboni, M., & Panzarasa, P. (2022). A network approach to expertise retrieval based on path similarity and credit allocation. Journal of Economic Interaction and Coordination, 17(2), 501-533. 

Riccaboni, M., & Verginer, L. (2022). The impact of the COVID-19 pandemic on scientific research in the life sciences. PLoS One, 17(2), e0263001. 

Bacigalupo, A., De Bellis, M. L., Gnecco, G., & Nutarelli, F. (2022). On dispersion curve coloring for mechanical metafilters. Scientific Reports, 12(1), 20019. 

Gnecco, G., Hadas, Y., & Sanguineti, M. (2022). A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features. EURO Journal on Transportation and Logistics, 11, 100090. 

Perazzini, S., Gnecco, G., & Pammolli, F. (2022). A Public–Private Insurance Model for Disaster Risk Management: An Application to Italy. Italian Economic Journal, 1-43.

Gnecco, G., Landi, S., & Riccaboni, M. (2022). Can Machines Learn Creativity Needs? An Approach Based on Matrix Completion. Italian Economic Journal, 1-41. 

Bargagli Stoffi, F. J., Cevolani, G., & Gnecco, G. (2022). Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory. Minds and Machines, 32(1), 13-42. 

Gnecco, G., Nutarelli, F., & Riccaboni, M. (2022). A machine learning approach to economic complexity based on matrix completion. Scientific Reports, 12(1), 9639.

Metulini, R., Gnecco, G., Biancalani, F., & Riccaboni, M. (2022). Hierarchical clustering and matrix completion for the reconstruction of world input–output tables. AStA Advances in Statistical Analysis, 1-46. 

Metulini, R., & Gnecco, G. (2022). Measuring players’ importance in basketball using the generalized Shapley value. Annals of Operations Research, 1-25.

Bargagli-Stoffi, F. J., De Witte, K., & Gnecco, G. (2022). Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach. The Annals of Applied Statistics, 16(3), 1986-2009. 

Marzi, G. (2022). Uncertainty-driven Innovation. Springer Books.

Marzi, G., Fakhar Manesh, M., Caputo, A., Pellegrini, M., & Vlacic, B. (2022). The Human Side of Open Innovation Adoption in SMEs: A Configurational Approach. In Academy of Management Proceedings (Vol. 2022, No. 1, p. 13138). Briarcliff Manor, NY 10510: Academy of Management. 

Marzi, G. (2022). On the Nature of Over Featuring in the New Product Development Process. In Academy of Management Proceedings (Vol. 2022, No. 1, p. 14350). Briarcliff Manor, NY 10510: Academy of Management.

Marzi, G., Anna, M., Donata, V., & Cristiano, C. (2022). Multi-sided Platforms Adoption in Manufacturing Companies Supply Process: a Configurational Approach. In Symplatform 3 Conference. Polytechnic University of Milan. 

Marzi, G., Marrucci, A., Vianelli, D., & Ciappei, C. (2022). Multi-sided Platform Adoption: Evidences from Manufacturing Companies. In Sinergie-SIMA 2022 Conference (pp. 1-7). Sinergie-SIMA. 

Anna, M., Marzi, G., Cristiano, C., & Vianelli, D. (2022). Consumer-based Triggers or Organizational Green Culture? Exploring Company’s adoption of Multi-sided Platforms as a Retail strategy. In Proceedings of 28th International Conference on Recent Advances in Retailing and Consumer Science (pp. 1-17). RARCS. 

Marzi, G. (2022). On the nature, origins and outcomes of Over Featuring in the new product development process. Journal of engineering and technology management, 64, 101685.

Turzo, T., Marzi, G., Favino, C., & Terzani, S. (2022). Non-financial reporting research and practice: Lessons from the last decade. Journal of Cleaner Production, 131154. 

Annosi, M. C., Martini, A., Marzi, G., Vignoli, M., & Parra, H. (2022). How to organize for open innovation from the ground up: a microfoundations approach in a foodservice firm. British Food Journal, 124(13), 391-408. 

Dabic, M., Hjortsø, C. N., Marzi, G., & Vlačić, B. (2022). Guest editorial: Open innovation in the food industry: what we know, what we don’t know, what we need to know. British Food Journal, 124(6), 1777-1785. 

Bianchi, M., Marzi, G., & Dabić, M. (2022). Guest Editorial: Agile Beyond Software—In Search of Flexibility in a Wide Range of Innovation Projects and Industries. IEEE Transactions on Engineering Management, 69(6), 3454-3458. 

Crimaldi, I., Louis, P. Y., & Minelli, I. G. (2023). Statistical test for an urn model with random multidrawing and random addition. Stochastic Processes and their Applications, 158, 342-360. 

Crimaldi, I., Louis, P. Y., & Minelli, I. G. (2023). Interacting nonlinear reinforced stochastic processes: Synchronization or non-synchronization. Advances in Applied Probability, 55(1), 275-320. 

Aletti, G., & Crimaldi, I. (2022). Generalized Rescaled Pólya urn and its statistical application. Electronic Journal of Statistics, 16(1), 1635-1680.

Aletti, G., & Crimaldi, I. (2022). The rescaled Pólya urn: local reinforcement and chi-squared goodness-of-fit test. Advances in Applied Probability, 54(3), 849-879. 

Crimaldi, I., Louis, P. Y., & Minelli, I. G. (2022). An urn model with random multiple drawing and random addition. Stochastic Processes and their Applications, 147, 270-299.

Levati, M. V., & Nardi, C. (2022). Letting third parties who suffer from petty corruption talk: Evidence from a collusive bribery experiment. European Journal of Political Economy, 102233.

Huremović, K., & Ozkes, A. I. (2022). Polarization in networks: Identification–alienation framework. Journal of Mathematical Economics, 102, 102732.

Canidio, A., & Karle, H. (2022). The focusing effect in negotiations. Journal of Economic Behavior & Organization, 197, 1-20.

Mastrogiorgio, A., & Lattanzi, N. (2022). Phasic and tonic alertness in opportunity recognition. In Leading Digital Transformation.

Mastrogiorgio, A. (2022). A Quantum Predictive Brain: Complementarity Between Top-Down Predictions and Bottom-Up Evidence. Frontiers in Psychology, 13.

Bossi, F., Di Gruttola, F., Mastrogiorgio, A., D'Arcangelo, S., Lattanzi, N., Malizia, A. P., & Ricciardi, E. (2022). Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms. Frontiers in Artificial Intelligence, 5, 57.

Malizia, A. P., Bassetti, T., Menicagli, D., Patuelli, A., D'Arcangelo, S. O. N. I. A., Lattanzi, N., ... & Mastrogiorgio, A. (2021). Not all sales performance is created equal: personality and interpersonal traits in inbound and outbound marketing activities. Arch. Ital. Biol, 159(3-4), 107-122.

Cristofaro, M., Giardino, P. L., Malizia, A. P., & Mastrogiorgio, A. (2022). Affect and cognition in managerial decision making: A systematic literature review of neuroscience evidence. Frontiers in Psychology, 13.

Mastrogiorgio, A., Felin, T., Kauffman, S., & Mastrogiorgio, M. (2022). More Thumbs Than Rules: Is Rationality an Exaptation?. Frontiers in Psychology, 13, 6.

Albertazzi, A. (2022). Individual cheating in the lab: a new measure and external validity. Theory and Decision, 93(1), 37-67.

Bilancini, E., Boncinelli, L., Di Paolo, R., Menicagli, D., Pizziol, V., Ricciardi, E., & Serti, F. (2022). Prosocial behavior in emergencies: Evidence from blood donors recruitment and retention during the COVID-19 pandemic. Social Science & Medicine, 314, 115438.

Pavlović, T., Azevedo, F., De, K., Riaño-Moreno, J. C., Maglić, M., Gkinopoulos, T., ... & Keudel, O. (2022). Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning. PNAS nexus, 1(3), pgac093.

Longo, L., Riccaboni, M., & Rungi, A. (2022). A neural network ensemble approach for GDP forecasting. Journal of Economic Dynamics and Control, 134, 104278.

Canidio, A., & Legros, P. (Forthcoming). Task Discretion, Labor Market Frictions and Entrepreneurship. Journal of Law, Economics, and Organizations.

Bago, B., Aczel, B., Kekecs, Z., Protzko, J., Kovacs, M., Nagy, T., ... & Gill, T. (2022). Moral thinking across the world: Exploring the influence of personal force and intention in moral dilemma judgements. Nature Human Behavior, 6, 880-895.

Van Bavel, J. J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J. B., Alfano, M., ... & Zwaan, R. (2022). National identity predicts public health support during a global pandemic. Nature Communication

Aletti, G., & Crimaldi, I. (2021). Twitter as an innovation process with damping effect. Scientific Reports, 11(1), 1-14.

Aletti, G., & Crimaldi, I. (2021). The Rescaled Pólya Urn and the Wright–Fisher Process with Mutation. Mathematics, 9(22), 2909.

Aletti, G., Crimaldi, I., & Saracco, F. (2021). A model for the Twitter sentiment curve. Plos one, 16(4), e0249634.

Amato, S., Basco, R., & Lattanzi, N. (2021). Contextualizing employment outcomes in family business research: current findings and future research avenues. Management Review Quarterly, 1-74.

Amato, S., Basco, R., Backman, M., & Lattanzi, N. (2021). Family-managed firms and local export spillovers: Evidence from Spanish manufacturing firms. European Planning Studies, 29(3), 468-492.

Amato, S., Pieroni, V., Lattanzi, N., & Vitali, G. (2021). Are family firms good neighbours? A spatial analysis of Italian technology-intensive firms. Journal of Small Business and Enterprise Development.

Amato, S., Patuelli, A., Basco, R., & Lattanzi, N. (2021). Family Firms Amidst the Global Financial Crisis: A Territorial Embeddedness Perspective on Downsizing. Journal of Business Ethics, 1-24.

Amato, S., Ricotta, F., & Basco, R. (2021). Family-managed firms, external sources of knowledge and innovation. Industry and Innovation, 1-33.

Amato, S., Patuelli, A., & Lattanzi, N. (2021). Developing digital innovation in family firms: Evidence from Italian industrial districts. In Family Business and Regional Development (pp. 103-121). Routledge.

Basco, R., Amato, S., Gómez-Ansón, S., & Calabrò, A. (2021). Urbanization economies, proximity dimensions and productivity: A family firm perspective. In Family Business and Regional Development (pp. 65-82). Routledge.

Bacigalupo, A., De Bellis, M. L., Gnecco, G., & Misseroni, D. (2021). Wave propagation control in active acoustic metamaterials. In Journal of Physics: Conference Series (Vol. 2015, No. 1, p. 012031). IOP Publishing.

Biancalani, F., Czarnitzki, D., & Riccaboni, M. (2021). The Italian Start Up Act: a microeconometric program evaluation. Small Business Economics, 1-22.

Biancalani, F., Gnecco, G., & Riccaboni, M. (2021). Price-volume agreements: A one principal/two agents model. European Journal of Operational Research.

Bilancini, E., Boncinelli, L. & Campigotto, N. (2021) Pairwise interact-and-imitate dynamics. Scientific Report 11, 13221 (2021)

Bilancini, E., & Boncinelli, L. (2021). When market unraveling fails and mandatory disclosure backfires: Persuasion games with labeling and costly information acquisition. Journal of Economics & Management Strategy.

Bilancini, E., Boncinelli, L., & Nax, H. H. (2021). What noise matters? Experimental evidence for stochastic deviations in social norms. Journal of Behavioral and Experimental Economics, 90, 101626.

Burlando, A., Canidio, A., & Selby, R. (2021). The economics of savings groups. International Economic Review.

Canidio, A., & Marcassa, S. (2021). Tokens and ICOs: A Review of the Economic Literature. Principles of Blockchain Systems.

Canidio, A., Costa, G., & Galletta, L. (2021). VeriOSS: using the Blockchain to Foster Bug Bounty Programs Proceedings of the 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020), 82: 6:1-6:14.

Huremović, K. (2021). A noncooperative model of contest network formation. Journal of Public Economic Theory, 23(2), 275-317.

Koukoumelis, A., Levati, M. V., & Nardi, C. (2021). Social and Moral Distance in Risky Settings (No. 13/2021).

Patuelli A, Caldarelli G, Lattanzi N, Saracco F (2021) Firms’ challenges and social responsibilities during Covid-19: A Twitter analysis. PLOS ONE 16 (7).

Passacantando, M., Gnecco, G., Hadas, Y., & Sanguineti, M. (2021). Braess' paradox: A cooperative game‐theoretic point of view. Networks.

Gnecco, G., Nutarelli, F., & Selvi, D. (2021). Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model. Machine Learning, 1-36.

Gnecco, G., & Nutarelli, F. (2021). On the trade-off between number of examples and precision of supervision in machine learning problems. Optimization Letters, 15(5), 1711-1733.

Lenarda, P., Gnecco, G., & Riccaboni, M. (2021). Parameter estimation in a 3‐parameter p‐star random graph model. Networks, 77(3), 403-420.

Bacigalupo, A., Gnecco, G., Lepidi, M., & Gambarotta, L. (2021). Computational design of innovative mechanical metafilters via adaptive surrogate-based optimization. Computer Methods in Applied Mechanics and Engineering, 375, 113623.

Gnecco, G., Pammolli, F., & Tuncay, B. (2021). Welfare and research and development incentive effects of uniform and differential pricing schemes. Computational Management Science, 1-40.

Bargagli Stoffi, F. J., Gnecco, G., & De Witte, K. (2021). Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach. Annals Of Applied Statistics.

Bargagli-Stoffi, F. J., Niederreiter, J., & Riccaboni, M. (2021). Supervised learning for the prediction of firm dynamics. In Data Science for Economics and Finance (pp. 19-41). Springer, Cham.

Gnecco, G., & Bacigalupo, A. (2021). Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters. Mathematical Foundations of Computing, 4(4), 253.

Gnecco, G. (2021). On the Optimal Generalization Error for Weighted Least Squares Under Variable Individual Supervision Times. In Optimization and Decision Science (pp. 15-25). Springer, Cham.

Passacantando, M., Gnecco, G., Hadas, Y., & Sanguineti, M. (2021). On Braess’ Paradox and Average Quality of Service in Transportation Network Cooperative Games. In Optimization and Decision Science (pp. 27-37). Springer, Cham.

Gnecco, G., & Bacigalupo, A. (2021). On principal component analysis of the convex combination of two data matrices and its application to acoustic metamaterial filters. arXiv preprint arXiv:2104.07054.

Gnecco, G., Bacigalupo, A., Fantoni, F., & Selvi, D. (2021). Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials. arXiv preprint arXiv:2104.02588.

Mastrogiorgio, A. (2021). Vigor and aspiration levels in neuroeconomics. Behavioral and Brain Sciences, 44.

Mastrogiorgio, A., Zaninotto, F., Maggi, F., Ricciardi, E., Lattanzi, N., & Malizia, A. P. (2021). Enhancing Organizational Memory Through Virtual Memoryscapes: Does It Work?. Frontiers in Psychology, 12.

Gianfagna, L., Crimaldi, I., & Gallan, D. (2021). The regulation of multilateral development banks: is it needed? A preliminary analysis. Journal of Financial Regulation and Compliance.

Hidalgo, A., Riccaboni, M., Rungi, A., & Velázquez, F. J. (2021). COVID-19, social distancing and guests' preferences: impact on peer-to-peer accommodation pricing. Current Issues in Tourism, 1-7.

Longo, L., Riccaboni, M., & Rungi, A. (2022). A neural network ensemble approach for GDP forecasting. Journal of Economic Dynamics and Control, 134, 104278.

Geuna, A., Guerzoni, M., Nuccio, M., Pammolli, F., & Rungi, A. (2021). Digital Technologies and Industrial Transformations. In Resilience and Digital Disruption (pp. 7-38). Springer, Cham.

Geuna, A., Guerzoni, M., Nuccio, M., Pammolli, F., & Rungi, A. (2021). Participation in Global Supply Chains and the Offshorability of Italian Jobs. In Resilience and Digital Disruption (pp. 39-54). Springer, Cham.

Geuna, A., Guerzoni, M., Nuccio, M., Pammolli, F., & Rungi, A. (2021). Digital Manufacturing and the Transformation of the Automotive Industry. In Resilience and Digital Disruption (pp. 55-126). Springer, Cham.

Geuna, A., Guerzoni, M., Nuccio, M., Pammolli, F., & Rungi, A. (2021). The Way Ahead Towards Advanced Automation: Policy Implication for Core Italian Manufacturing Regions. In Resilience and Digital Disruption (pp. 127-133). Springer, Cham.

Di Gruttola, F., Malizia, A. P., D'Arcangelo, S., Lattanzi, N., Ricciardi, E., & Orfei, M. D. (2021). The Relation Between Consumers' Frontal Alpha Asymmetry, Attitude, and Investment Decision. Frontiers in neuroscience, 14, 1414.

Basco, R., Bassetti, T., Dal Maso, L., & Lattanzi, N. (2021). Why and when do family firms invest less in talent management? The suppressor effect of risk aversion. Journal of Management and Governance, 1-30.

Pieroni, V., Facchini, A., & Riccaboni, M. (2021). COVID-19 vaccination and unemployment risk: lessons from the Italian crisis. Scientific reports, 11(1), 1-8.

Lopreite, M., Panzarasa, P., Puliga, M., & Riccaboni, M. (2021). Early warnings of COVID-19 outbreaks across Europe from social media. Scientific reports, 11(1), 1-7.

Belderbos, R., Grabowska, M., Kelchtermans, S., Leten, B., Jacob, J., & Riccaboni, M. (2021). Whither geographic proximity? Bypassing local R&D units in foreign university collaboration. Journal of international business studies, 1-29.

Lopreite, M., Puliga, M., Riccaboni, M., & De Rosis, S. (2021). A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia. Social Science & Medicine, 278, 113940.

Riccaboni, M., Wang, X., & Zhu, Z. (2021). Firm performance in networks: The interplay between firm centrality and corporate group size. Journal of Business Research, 129, 641-653.

Bertolini, A., & Riccaboni, M. (2021). Grounding the case for a European approach to the regulation of automated driving: the technology-selection effect of liability rules. European Journal of Law and Economics, 51(2), 243-284.

Verginer, L., & Riccaboni, M. (2021). Stem cell legislation and its impact on the geographic preferences of stem cell researchers. Eurasian Business Review, 11(1), 163-189.

Fallucchi, F., Niederreiter, J., & Riccaboni, M. (2021). Learning and dropout in contests: an experimental approach. Theory and Decision, 90(2), 245-278.

Montinari, L., Riccaboni, M., & Schiavo, S. (2021). Innovation, trade and multi‐product firms. Canadian Journal of Economics/Revue canadienne d'économique, 54(1), 311-337.

Edet, S., Panzarasa, P., & Riccaboni, M. (2021). Global Cities In International Networks Of Innovators. Advances in Complex Systems (ACS), 24(03n04), 1-24.

Kelchtermans, S., Leten, B., Rabijns, M., & Riccaboni, M. (2021). Do licensors learn from out-licensing? Empirical evidence from the pharmaceutical industry. Technovation, 102405.

Niederreiter, J., & Riccaboni, M. (2021). The impact of product innovation announcements on firm value: evidence from the bio-pharmaceutical industry. Industry and Innovation, 1-28.

Pammolli, F., Riccaboni, M., & Spelta, A. (2021). The network origins of Schumpeterian innovation. Journal of Evolutionary Economics, 1-21.

Verginer, L., & Riccaboni, M. (2021). Talent goes to global cities: The world network of scientists’ mobility. Research policy, 50(1), 104127.

Li, X., Verginer, L., Riccaboni, M., & Panzarasa, P. (2021). A network approach to expertise retrieval based on path similarity and credit allocation. Journal of Economic Interaction and Coordination, 1-33.

Dudjak, V., Neves, D., Alskaif, T., Khadem, S., Pena-Bello, A., Saggese, P., ... & Papaemmanouil, A. (2021). Impact of local energy markets integration in power systems layer: A comprehensive review. Applied Energy, 301, 117434.

Blanas, S., Gancia, G. & Lee, S.Y.T. (2020) Who is afraid of machines? Economic Policy, Volume 34, Issue 100, Pages 627–690

Amato, S., Basco, R. Gomez-Ansón, S. & Lattanzi, N. (2020) Family-managed Firms and Employment Growth during an Economic Downturn: Does their Location Matter? Baltic Journal of Management, 15(4), pp. 607-630.

Bargagli Stoffi, F., Cevolani, G., Gnecco, G. (2020) Should simplicity be always preferred to complexity in supervised machine learning? Proceedings of the 6th International Conference on machine Learning. Optimization & Data science (LOD 2020), 4 pages, Certosa di Pontignano (Siena), Italy, Lecture Notes in Computer Science.

Lattanzi, N. (2020) Verso la Convergenza tra Neuroscienze e Intelligenza Artificiale. Nuova Antologia, Vol. 624 – Fasc. 2293, pp. 59-75.

A. Navas, F. Serti, C. Tomasi. (2020) The role of the gravity forces on firms’ trade. Canadian Journal of Economics/Revue canadienne d'économique 53 (3), 1059-1097

L Verginer, M Riccaboni. (2020) Cities and countries in the global scientist mobility network. Applied Network Science 5 (1), 1-16

D Delpini, S Battiston, G Caldarelli, M Riccaboni. (2020) Portfolio diversification, differentiation and the robustness of holdings networks. Applied Network Science 5 (1), 1-20

R Metulini, M Riccaboni, F Serti. (2020) Water-in-food, conflicts, and refugee movements: A comprehensive analysis. Water Resources and Economic Processes, 224-261

A Samantray, M Riccaboni. (2020) Peer influence of production and consumption behaviour in an online social network of collective learning. Online Social Networks and Media 18, 100088

SV Buldyrev, F Pammolli, M Riccaboni, HE Stanley. (2020) The rise and fall of business firms: A stochastic framework on innovation, creative destruction and growth. Cambridge University Press

J Growiec, F Pammolli, M Riccaboni. (2020) Innovation and corporate dynamics: a theoretical framework. Central European Journal of Economic Modelling and Econometrics, 1-45

Belmonte A., Bove V., D'Inverno G., and Modica M. (2020) School Infrastructure Spending and Educational Outcomes: Evidence from the 2012 Earthquake in Northern Italy. Economics of Education Review, Vol. 75: 101951.

Belmonte A. (2020) Inter-Ethnic Dynamics in the Wake of Terrorist Attacks: Evidence from the 2015 Baga Massacre. Peace Economics, Peace Science and Public Policy, Vol. 26(2).

G. Aletti, I. Crimaldi, A. Ghiglietti, (2020) Interacting reinforced stochastic processes: statistical inference based on the weighted empirical means. Bernoulli, 26(2), 1098-1138.

E Bilancini, L Boncinelli, J Newton (2020) Evolution and Rawlsian social choice in matching. Games and Economic Behavior 123, 68-80

E Bilancini, L Boncinelli, V Capraro, T Celadin, R Di Paolo (2020) The effect of norm-based messages on reading and understanding COVID-19 pandemic response governmental rules. Journal of Behavioral Economics for Policy 4 (Covid-19 SI), 45-55

E Bilancini, L Boncinelli (2020) The evolution of conventions under condition-dependent mistakes. Economic Theory 69 (2), 497-521

E Bilancini, L Boncinelli (2020)When today’s rewards are tomorrow’s endowments: The effects of inequality on social competition. European Economic Review 129, 103533.

E Bilancini, L Boncinelli, V Capraro, T Celadin, R Di Paolo, (2020) "Do the right thing" for whom? An experiment on ingroup favouritism, group assorting and moral suasion. Judgment and Decision Making 15 (2), 182-192

Cinat, P., Gnecco, G., Paggi, M. (2020) Multi-scale surface roughness optimization through genetic algorithms. Frontiers in Mechanical Engineering, 6, 14 pages

Dal Maso, L., Basco, R., Bassetti, T., Lattanzi, N. (2020) Family ownership and environmental performance: The mediation effect of human resource practices. Business Strategy and the Environment, 29(3), 1548-1562.

I. Crimaldi, L. Forastiere, F. Mealli, C. Tortù (2020) The Causal Effect of Immigration Policies on Income Inequality. In 50th Scientific Meeting of the Italian Statistical Society-SIS 2020 (pp. 1549-1556). Pearson

Del Prete D., and Rungi A. (2020) Backward and Forward Integration Along Global Value Chains, Review of Industrial Organization, 57: 263–283.

Fattorini, L., Ghodsi, M., and Rungi, A. (2020) Cohesion Policy Meets Heterogeneous Firms, JCMS: Journal of Common Market Studies, 58: 803– 817.

Gnecco, G., Hadas, Y., Sanguineti, M. (2020) Public transport transfers assessment via transferable utility games and Shapley value approximation. Transportmetrica A: Transport Science.

Gnecco, G., Nutarelli, F., Selvi, D. (2020) Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model. Soft Computing.

Kolykhalova, K., Gnecco, G., Sanguineti, M., Volpe, G., Camurri, A. (2020) Automated analysis of the origin of movement: an approach based on cooperative games on graphs. IEEE Transactions on Human-Machine Systems.

Lenarda, P., Gnecco, G., Riccaboni, M. (2020) Parameter estimation in a 3-parameter p* random graph model. Networks.

Morescalchi, A. and P. Paruolo. (2020) Too much stick for the carrot. Job search requirements and search behaviour of unemployment benefit claimants. The B.E. Journal of Economic Analysis and Policy, 20(1).

Buldyrev, S., Morescalchi, A., Pammolli, F., Riccaboni, M., Stanley, H. E., and Tortolini, V. (2020) “Testing our predictions'”. In: Buldyrev, S., Pammolli, F., Riccaboni, M., and Stanley, H. E., (eds.) The Rise and Fall of Business Firms. A Stochastic Framework on Innovation, Creative Destruction and Growth, Cambridge University Press, Chapter 4.

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Patuelli, A., Carungu, J.(2020) A comparative study of the accounting research trends (1994–2014) between Spain and Italy. Accounting History, 25(3), 488-508.

Zacchia, P. (2020) Knowledge Spillovers through Networks of Scientists.  The Review of Economic Studies, 87: 1989–2018.

Zoppoli, R., Sanguineti, M., Gnecco, G., Parisini, T. (2020) Neural approximations for optimal control and decision, 518 pages. Springer, London, series “Communications and Control Engineering”.