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Publications (44)
Welcome to the Special Issue on Applications of Complexity for Resilient Organizations, Management, and Innovation Systems. This Special Issue includes six articles highlighting how complexity science and complex systems approaches can be employed to study resilient aspects in organizations, management and innovation systems. Nowadays, governments,...
Firm performance is an important output that managers should control. Of the several perspectives taken to analyse performance within companies, innovation performance and economic performance are especially relevant. Joint patents are an important but overlooked strategy that firms can use to improve their performance. In this paper, an agent-base...
This study investigates sustainability-oriented innovation (SOI) in the agri-food sector, which is one of the most influential industries in a country, through empirical analysis involving patents. Specifically, the causal relationship between SOI outputs and economic performance in the agri-food sector, as well as the moderating role of co-patenti...
Digital transformation and sustainability transition are complex phenomena characterized by fundamental uncertainty. The potential consequences deriving from these processes are the subject of open debates among economists and policy-makers. In this respect, adopting a modeling and simulation approach represents one of the best solutions in order t...
During the COVID‐19 emergency, several companies have been able to rapidly reconfigure their innovation and production processes to help support health and other services to cope with the shortage of needed supplies. Using the dynamic capability perspective, this work aims to understand which capabilities enable companies to have fast innovation re...
The paper, focusing on the context of Public Administration (PA), addresses the effects of monetary incentives in employees’ performance. In the Italian PA, the monetary incentives are distributed according to the D.L.150/09 (i.e., the monetary incentives are divided among the employees according to the employees’ performance) which is based on the...
During the last decades, we have witnessed a strong development of intangible digital technologies. Software, artificial intelligence and algorithms are increasingly affecting both production systems and our lives; economists have started to figure out the long-run complex economic implications of this new technological wave. In this paper, we addr...
In this paper, the role of the monetary incentives in the employee performance is investigated in the context of Public Administration (PA). In particular, the distribution of monetary incentives among the employees based on the position held, is compared with a merit approach which tends to recognize and reward individual contributions. Starting f...
During the last decades, we have witnessed a strong development of intangible digital technologies. Software , artificial intelligence and algorithms are increasingly affecting both production systems and our lives; economists have started to figure out the long-run complex economic implications of this new technological wave. In this paper, we add...
During the last twenty years, we have witnessed the deep development of digital technologies. Artificial intelligence, software and algorithms have started to impact more and more frequently in our daily lives and most people didn't notice it. Recently, economists seem to have perceived that this new technological wave could have some consequences,...
We investigate appropriate banking and regulatory policies aimed at pushing the banking sector to shift from speculative lending, the cause of asset bubbles and economic crises, to green investments lending, so as to foster the transition to a more energy efficient production technology. For this purpose, we consider an enriched version of the Eura...
In this paper, we investigate the effects on the economy of a feed-in tariff policy mechanism aimed to foster investments in renewable energy production capacity. To this purpose, we employ an enriched version of the agent-based Eurace macroeconomic model, where we have included an energy sector with a fossil-fuel power producer as well as a renewa...
An information-based multiasset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented and studied so as to determine the influences of agents’ networks on the market’s structure. Agents are organized in networks that are responsible for the formation of the sentiments of the agents. In...
An information-based multi-asset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented. In the market, agents trade risky assets in exchange for cash. Beside the amount of cash and of stocks owned, each agent is characterized by sentiments and agents share their sentiments by means of...
The 2008 financial crisis, and the subsequent global recession, triggered a wide-spread economic and political debate on the proper policy combination to deal with the crisis and to prevent similar ones in the future. Probably, the main dispute has been around the use of fiscal instruments in order to foster growth while keeping public debt under c...
The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling...
We investigate appropriate banking and monetary policies aimed to pressure the banking and financial sector to shift from speculative lending, cause of asset bubbles and economic crises, to green investments lending, in order to foster the transition to a more energy efficient production technology. For this purpose, we consider an enriched Eurace...
In European countries, the last decade has been characterized by a deregulation of power production and electricity became a commodity exchanged in proper markets. This resulted in an increasing interest of the scientific community on electricity exchanges for modeling both market activity and price process. This paper analyzes electricity spot-pri...
The superconducting-insulator transition is simulated in disordered networks of Josephson junctions with thermally activated Arrhenius-like resistive shunt. By solving the conductance matrix of the network, the transition is reproduced in different experimental conditions by tuning thickness, charge density and disorder degree. In particular, on in...
We study tick-by-tick financial returns belonging to the FTSE MIB index of
the Italian Stock Exchange (Borsa Italiana). We find that non-stationarities
detected in other markets in the past are still there. Moreover, scaling
properties reported in the previous literature for other high-frequency
financial data are approximately valid as well. Final...
Hard oscillators are dynamical systems that show the coexistence of qualitatively different attractors, in the form of limit cycles and equilibrium points. In the presence of external inputs their dynamic behavior is significantly different from those of oscillators, called soft, with a limit cycle as unique attractor. This paper studies the dynami...
A simulation of high-frequency market data is per-formed with the Genoa Artificial Stock Market. Heterogeneous agents trade a risky asset in exchange for cash. Agents have zero intelligence and issue random limit or market orders depending on their budget constraints. The price is cleared by means of a limit order book. A renewal order-generation p...
Traditionally O&M for wind power generation systems aims at reducing the overall maintenance cost and improving the availability of the systems. The increasing importance of energy markets together with the foreseen reduction in incentive schemes for renewable energy require to extend the classic maintenance decision process and to consider also ma...
An array of resistively and capacitively shunted Josephson junctions with nonsinusoidal current- phase relation is considered for modelling the resistive transition in high-T<sub>c</sub> superconductors. The emergence of higher harmonics, besides the sinusoid I<sub>c</sub> sin φ, is expected for dominant d-wave symmetry of the Cooper pairs, random...
Locally Connected Oscillatory Networks (LCONs) are a special class of Cellular Neural Networks (CNNs) where each cell (neuron) exhibits time periodic behavior. In this paper we investigate the dynamics of LCONs whose neurons exhibit the coexistence of a stable equilibrium point and as table limit cycle. We consider ac onstant external stimulus appl...
In this paper, an information-based multi-assets artificial stock market is presented. The market is populated by heterogeneous agents that are seen as nodes of sparsely connected graphs. The market is characterized by different types of stocks and agents trade risky assets in exchange for cash. Beside the amount of cash and of stocks owned, each a...
In this paper, a multi-assets artificial financial market populated by zero-intelligence traders with finite financial resources is presented. The market is characterized by different types of stocks representing firms operating in different sectors of the economy. Zero-intelligence traders follow a random allocation strategy which is constrained b...
Oscillatory networks are a special class of neural networks where each neuron exhibits time periodic behavior. They represent bio-inspired architectures which can be exploited to model biological processes such as the binding problem and selective attention. In this paper we investigate the dynamics of networks whose neurons are hard oscillators, n...
The effect of disorder is investigated in granular superconductive materials with strong and weak links. The transition is controlled by the interplay of the \emph{tunneling} $g$ and \emph{intragrain} $g_{intr}$ conductances, which depend on the strength of the intergrain coupling. For $g \ll g_{intr}$, the transition involves first the grain bound...
Systems with the coexistence of different stable attractors are widely exploited in systems biology in order to suitably model the differentiating processes arising in living cells. In order to describe genetic regulatory networks several deterministic models based on systems of nonlinear ordinary differential equations have been proposed. Few stud...
In this paper, an information-based artificial stock market is considered. The market is populated by heterogeneous agents that are seen as nodes of a sparsely connected graph. Agents trade a risky asset in exchange for cash. Besides the amount of cash and assets owned, each agent is characterized by a sentiment. Moreover, agents share their sentim...
An array of resistively and capacitively shunted Josephson junctions with
nonsinusoidal current-phase relation is considered for modelling the transition
in high-T$_c$ superconductors. The emergence of higher harmonics, besides the
simple sinusoid $I_{c}\sin\phi$, is expected for dominant \emph{d}-wave
symmetry of the Cooper pairs, random distribut...
The formation of layers during the resistive transition of granular high-T<sub>c</sub> superconductors, characterized by either weak (YBCO-like) or strong (MgB<sub>2</sub>-like) links, occurs through a series of avalanche-type current density rearrangements. These resistive layers cross the whole specimen approximately orthogonal to the current den...
The resistive transition of granular high-T$_c$ superconductors, characterized by either weak (YBCO-like) or strong (MgB$_2$-like) links, occurs through a series of avalanche-type current density rearrangements. These rearrangements correspond to the creation of resistive layers, crossing the whole specimen approximately orthogonal to the current d...
The relationship between the size and the variance of firm growth rates is known to follow an approximate power-law behavior σ(S) ≈ S−β(S) where S is the firm size and β(S) ≈ 0.2 is an exponent that weakly depends on S. Here, we show how a model of proportional growth, which treats firms as classes composed of various numbers of units of variable s...
About this book
Understanding the mechanism of a socio-economic system requires more than an understanding of the individuals that comprise the system. It also requires understanding how individuals interact with each other, and how the agg- gated outcome can be more than the sum of individual behaviors. This book contains the papers fostering the...
In this paper, the statistical properties of high-frequency data are investigated by means of computational experiments performed
with the Genoa Artificial Stock Market (Raberto et al. 2001, 2003, 2004). In the market model, heterogeneous agents trade
one risky asset in exchange for cash. Agents have zero intelligence and issue random limit or mark...
In this paper, empirical analyses and computational experiments are presented on high-frequency data for a double-auction (book) market. Main objective of the paper is to generalize the order waiting time process in order to properly model such empirical evidences. The empirical study is performed on the best bid and best ask data of 7 U.S. financi...
BOINC (Berkeley Open Infrastructure for Net-work Computing) is a middleware system for volunteer computing. This software system makes easy for scientists to create and operate public-resource computing projects. BOINC supports diverse applications, including those with large storage or communication requirements. PC owners can participate in multi...
