@conference{
	11589_21829,
	author = { GIANNOCCARO I  and  CARBONE G },
	title = {Collaborative problem solving in complex settings:  Coupling NK model with the Ising/Glauber dynamics},
	year = {2015},
	booktitle = {Proceedings of the 6th Workshop on Complex Networks, CompleNet 2015}
}
@article{
	11589_55749,
	author = { Albino  Vito  and  Fraccascia  Luca  and  Giannoccaro  Ilaria },
	title = {Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: An agent-based simulation study},
	year = {2015},
	journal = {JOURNAL OF CLEANER PRODUCTION},
	keywords = {Agent-based simulation; Contracts; Industrial symbiosis networks; Input-output process; Self-organization and emergence; Industrial and Manufacturing Engineering; Renewable Energy, Sustainability and the Environment; 2300; Strategy and Management1409 Tourism, Leisure and Hospitality Management},
	doi = {10.1016/j.jclepro.2015.06.070},	
}
@article{
	11589_55748,
	author = { Capaldo  Antonio  and  Giannoccaro  Ilaria },
	title = {How does trust affect performance in the supply chain? the moderating role of interdependence},
	year = {2015},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS},
	volume = {166},
	keywords = {Agent-based simulation; Benefits of trust; Complex adaptive systems; Interorganizational relationships; NK fitness landscape model; Industrial and Manufacturing Engineering; Business, Management and Accounting (all); Management Science and Operations Research; Economics and Econometrics},
	doi = {10.1016/j.ijpe.2015.04.008},	
	pages = {36--49}
}
@article{
	11589_59156,
	author = { Carbone  Giuseppe  and  Giannoccaro  Ilaria },
	title = {Model of human collective decision-making in complex environments},
	year = {2015},
	journal = {THE EUROPEAN PHYSICAL JOURNAL. B, CONDENSED MATTER PHYSICS},
	volume = {88},
	abstract = {A continuous-time Markov process is proposed to analyze how a group of humans solves a
complex task, consisting in the search of the optimal set of decisions on a fitness landscape. Individuals
change their opinions driven by two different forces: (i) the self-interest, which pushes them to increase their
own fitness values, and (ii) the social interactions, which push individuals to reduce the diversity of their
opinions in order to reach consensus. Results show that the performance of the group is strongly affected by
the strength of social interactions and by the level of knowledge of the individuals. Increasing the strength
of social interactions improves the performance of the team. However, too strong social interactions slow
down the search of the optimal solution and worsen the performance of the group. In particular, we find
that the threshold value of the social interaction strength, which leads to the emergence of a superior
intelligence of the group, is just the critical threshold at which the consensus among the members sets in.
We also prove that a moderate level of knowledge is already enough to guarantee high performance of the
group in making decisions.},
	doi = {10.1140/epjb/e2015-60609-0},	
	pages = {339--348}
}
@article{
	11589_772,
	author = { GIANNOCCARO I.},
	title = {Adaptive supply chains in industrial districts: A complexity science approach focused on learning},
	year = {2015},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS},
	abstract = {This paper investigates the relationship between learning and adaptation in supply chains located within industrial districts, with the aim of identifying the best adaptive supply chain. It is motivated by the increasing attention that the design of adaptive supply chains has been receiving in recent years, as it is considered one of the most important critical factors in gaining sustainable competitive advantage in the current hypercompetitive environment. Focusing on two learning processes (i.e., by imitation and by interacting), diverse types of adaptive supply chains recognizable within industrial districts are compared by means of an agent-based simulation on the basis of their adaptive performance in environments characterized by different level of complexity and turbulence. The results confirm that the supply chain type influences the relationship between learning and adaptation and that both the product complexity and the turbulence of the environment moderate this effect. Finally, the best adaptive supply chain in each type of context is identified.},
	doi = {10.1016/j.ijpe.2015.01.004},	
}
@inbook{
	11589_13272,
	author = { GIANNOCCARO I},
	title = {A toolkit based on NK fitness landscape for behavioral investigation in complex supply chains},
	year = {2014},
	booktitle = {Proceedings of the IEEM 2014, Kuala Lumpur, 9-12 Dicembre.}
}
@inbook{
	11589_12412,
	author = { Carbonara N  and  Giannoccaro I },
	title = {Determinants of MNC location choice in industrial districts: An empirical analysis in Italy},
	year = {2014},
	publisher = {Edward Elgar Publishing},
	address = {CHELTENHAM},
	booktitle = {Agglomeration, Clusters and Entrepreneurship: Studies in Regional Economic Development}
}
@inbook{
	11589_13268,
	author = { GIANNOCCARO I  and  DE VINCENZO I  and  CARBONE G },
	title = {An Ising-based approach to the study of inter-organizational team dynamics},
	year = {2014},
	booktitle = {Proceedings of 2014 IEEM Conference, Kuala Lumpur, 9-12 Dicembre},
	doi = {10.1109/IEEM.2014.7058830},	
}
@conference{
	11589_55747,
	author = { Giannoccaro Ilaria},
	title = {Effects of human behavior on the centralization of supply chain relationships},
	year = {2014},
	booktitle = {Proceedings of 21th EUROMA Conference, Palermo, 20-25 giugno.}
}
@conference{
	11589_18348,
	author = { GIANNOCCARO I  and  DE VINCENZO I  and  CARBONE G },
	title = {Ising model of the dynamics of inter-organizational teams},
	year = {2014},
	booktitle = {Proceedings of European Conference on Complex Systems}
}
@article{
	11589_1242,
	author = { CAPALDO A  and  GIANNOCCARO I },
	title = {Interdependence and network-level trust in supply chain networks: A computational study},
	year = {2014},
	journal = {INDUSTRIAL MARKETING MANAGEMENT},
	volume = {44},
	abstract = {We investigate the impact of the supply chain interdependence structure on network-level trust in the supply chain (i.e., supply chain trust). We adopt an opportunism-based definition of trust, according to which trust and opportunism are the opposite of one another, and conceptualize the supply chain as a complex adaptive system (CAS). We thus employ the NK framework to model the supply chain network as a set of interdependent partners (and their decisions) interacting among each other according to a specific pattern reflecting the overall supply chain interdependence structure. In particular, we argue that supply chain networks can reveal in practice the 10 patterns identified by Rivkin and Siggelkow (2007) in a recent study on patterned interactions in complex systems. Thus, we perform computational analysis to evaluate, for each considered interdependence pattern, the risk of opportunism by the participating firms, which allows us to compare the patterns on the level of supply chain trust. We show that supply chain trust is a positive (negative) function of the number of uninfluenced (uninfluential) partners, that are, partner firms whose decisions are not influenced by (do not influence) the decisions made by the remaining partners. We also find that, for each examined pattern, the higher the degree of interdependence in the supply chain, the lower supply chain trust.},
	doi = {10.1016/j.indmarman.2014.10.001},	
	pages = {180--195}
}
@inbook{
	11589_12382,
	author = { GIANNOCCARO I},
	title = {Complex Systems Methodologies for Behavioural Research in Operations Management: 
NK Fitness Landscape and Social Network Theory},
	year = {2013},
	publisher = {SPRINGER-VERLAG},
	address = {LONDON},
	booktitle = {Behavioral Issues in Operations Management. New trends in Design, Management, and Methodologies}
}
@inbook{
	11589_12011,
	author = { GIANNOCCARO I.},
	title = {Supply Chain Management: A Behavioural Study through NK Fitness Landscape},
	year = {2013},
	publisher = {SPRINGER-VERLAG},
	address = {LONDON},
	booktitle = {Behavioural  issues in Operations Management:
New trends in design, management, and methodologies}
}
@misc{
	11589_24313,
	author = { GIANNOCCARO I.},
	title = {Behavioral  issues in Operations Management:
New trends in design, management, and methodologies},
	year = {2013},
	publisher = {Springer-Verlag (london)},
	address = {LONDON}
}
@conference{
	11589_20046,
	author = { CAPALDO A:  and  GIANNOCCARO I },
	title = {How trust affects supply chain performances: the mediating role of the interdependence pattern},
	year = {2012},
	booktitle = {Proceedings of the 17th Working Seminar on Production Economics}
}
@article{
	11589_8867,
	author = { CAPALDO A  and  GIANNOCCARO I },
	title = {La supply chain quale sistema complesso: applicazione del moedllo NK all'analisi delle relazioni tra struttura delle interdipendenze e fiducia nella supply chain},
	year = {2012},
	journal = {FINANZA MARKETING E PRODUZIONE},
	volume = {1},
	pages = {7--33}
}
@conference{
	11589_16330,
	author = { GIANNOCCARO I},
	title = {Designing Effective Supply Chain  Forms of Governance: Behavioral issues in the coordination of supply chains},
	year = {2012},
	booktitle = {Proceedings of the 17th Working Seminar in Production Economics}
}
@article{
	11589_7550,
	author = { GIANNOCCARO I  and  CAPALDO A },
	title = {Un modello di simulazione per la quantificazione dei benefici della fiducia nelle supply chain distrettuali},
	year = {2012},
	journal = {ESPERIENZE D'IMPRESA}
}
@article{
	11589_10266,
	author = { GIANNOCCARO I.},
	title = {Assessing the influence of the organization in supply chain management using NK simulation},
	year = {2011},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS},
	volume = {131},
	pages = {263--272}
}
@inbook{
	11589_52429,
	author = { Bellantuono N  and  Giannoccaro I  and  Pontrandolfo P },
	title = {Coordination of the Supplier-Retailer Relationship in a Multi-period Setting: The Additional Ordering Cost Contract},
	year = {2011},
	booktitle = {Supply Chain Coordination under Uncertainty}
}