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Ilaria Filomena Giannoccaro
Ruolo
Professore Associato
Organizzazione
Politecnico di Bari
Dipartimento
Dipartimento di Meccanica, Matematica e Management
Area Scientifica
Area 09 - Ingegneria industriale e dell'informazione
Settore Scientifico Disciplinare
ING-IND/35 - Ingegneria Economico-Gestionale
Settore ERC 1° livello
SH - Social sciences and humanities
Settore ERC 2° livello
SH1 Markets, Individuals and Institutions: Economics, finance and management
Settore ERC 3° livello
SH1_10 - Management; organisational behaviour; operations management
Supply chain management advocates that the whole supply chain (SC) from the material suppliers to the end customers must be managed by adopting an integrated approach. However, different forms of governance can be adopted to pursue integration, ranging from the pure market to the hierarchy. While integration has been extensively investigated in the literature by adopting an operative perspective, the organizational perspective has been less used. However, the way the SC is organized influences the SC performance. This topic is investigated by using a recent tool offered by complexity science, namely the NKsimulation model. In the proposed NK model,Nrepresents the decisions that SC firms should make and K the interdependencies among the SC decisions calling for integration. The model reproduces how the different SC forms of governance evolve and adapt to the landscape corresponding to a SC specific integration problem. A simulation analysis is carried out to identify the SC forms of governance appropriate to the SC integration problems.
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.
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