1,721,150 research outputs found
Le determinanti dell'internazionalizzazione: le variabili chiave del processo di localizzazione delle PMI nell'Europa centro orientale
No full textPursuing the "Public Good": Sustainable Development as a Common Goal for Social and Environmental Management
No full textBoundary Conditions for the Emergence of “Docility” in Organizations: Agent-Based Model and Simulation
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Group effects on individual attitudes toward social responsibility
No full textThis study uses a quasi-experimental design to investigate what happens to individual socially responsible attitudes when they are exposed to group dynamics. Findings show that group engagement increases individual attitudes toward social responsibility. We also found that individuals with low attitudes toward social responsibility are more likely to change their opinions when group members show more positive attitudes toward social responsibility. Conversely, individuals with high attitudes do not change much, independent of group characteristics. To better analyze the effect of group dynamics, the study proposes to split social responsibility into relative and absolute components. Findings show that relative social responsibility is correlated with but different from absolute social responsibility although the latter is more susceptible than the former to group dynamics
Computational revival:Why and how computation is still relevant to the study of recognition
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The analogical roots of agent-based modeling in economics and social sciences: the case of innovation dynamics
No full textAgent-based modeling (ABM) is a simulation technique which has been increasingly integrated into the economic discipline in order to understand complex systems. However, most of everyday research activities rely on the researchers' consensus concerning practical choices about modeling strategies, computational boundaries under scrutiny and the extent of empirical validation. Particularly lacking are reflections on the semantic construction of conceptual models. The paper reviews existing theoretical frameworks leading to the understanding of ABM as a technique where the cognitive processing instantiated by the instrument is distributed across different modeling layers, including conceptual, algorithmic and computational. These layers can be interpreted as an interlinked set of analogies. Then, the paper introduces a framework for assessing ABM conceptual adequacy and tests it on two families of models in the economics of innovation field
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