SearcharxivSearch

arXiv subjects

Fabrizio Fornari

Publications and source records attributed to Fabrizio Fornari.

3 recordsLinked to original sources

Assessing Problem-Solving in HR Contexts: A Comparison Between Game-Based and Self-Report Measures

Game-based assessments (GBAs) are increasingly adopted in recruitment contexts as tools to assess transversal skills through observable behavior. However, empirical evidence directly comparing game-based behavioral indicators with traditional self-report measures remains limited. This study adopts a method-comparison approach to explore the convergence between self-perceived and behaviorally enacted problem-solving competence, comparing a game-based assessment with the Problem Solving Inventory (PSI-B). Seventy-two participants completed both the PSI-B and a five-minute game-based problem-solving task, which classified performance into four behavioral proficiency levels. Results revealed no significant convergence between self-reported and behavior-based problem-solving scores, indicating a lack of convergence between the two measurement modalities. Rather than indicating a lack of validity of the game-based assessment, these findings support the view that self-report and behavioral measures provide complementary information about problem-solving competence. The study highlights the risks of relying on a single assessment modality in personnel selection and underscores the value of integrating game-based tools within multi-method assessment frameworks.

cs.HC

Navigating the Lobbying Landscape: Insights from Opinion Dynamics Models

While lobbying has been demonstrated to have an important effect on public opinion and policy making, existing models of opinion formation do not specifically include its effect. In this work we introduce a new model of lobbying-driven opinion influence within opinion dynamics, where lobbyists can implement complex strategies and are characterised by a finite budget. Individuals update their opinions through a learning process resembling Bayes-rule updating but using signals generated by the other agents (a form of social learning), modulated by under-reaction and confirmation bias. We study the model numerically and demonstrate rich dynamics both with and without lobbyists. In the presence of lobbying, we observe two regimes: one in which lobbyists can have full influence on the agent network, and another where the peer-effect generates polarisation. When lobbyists are symmetric, the lobbyist-influence regime is characterised by prolonged opinion oscillations. If lobbyists temporally differentiate their strategies, frontloading is advantageous in the peer-effect regime, whereas backloading is advantageous in the lobbyist-influence regime. These rich dynamics pave the way for studying real lobbying strategies to validate the model in practice.

econ.GN

Digital Twins of Business Processes: A Research Manifesto

Modern organizations necessitate continuous business processes improvement to maintain efficiency, adaptability, and competitiveness. In the last few years, the Internet of Things, via the deployment of sensors and actuators, has heavily been adopted in organizational and industrial settings to monitor and automatize physical processes influencing and enhancing how people and organizations work. Such advancements are now pushed forward by the rise of the Digital Twin paradigm applied to organizational processes. Advanced ways of managing and maintaining business processes come within reach as there is a Digital Twin of a business process - a virtual replica with real-time capabilities of a real process occurring in an organization. Combining business process models with real-time data and simulation capabilities promises to provide a new way to guide day-to-day organization activities. However, integrating Digital Twins and business processes is a non-trivial task, presenting numerous challenges and ambiguities. This manifesto paper aims to contribute to the current state of the art by clarifying the relationship between business processes and Digital Twins, identifying ongoing research and open challenges, thereby shedding light on and driving future exploration of this innovative interplay.

cs.CY