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Today supply chain operations are continuously threatened by frequent and unpredictable disruptions. To survive in such complex and fast-changing environments, firms need to develop resilient strategies for their supply chains. To this regard, previous studies in literature have shown that cooperative relationships play a relevant role. However, there are evidence that firms more often prefer a coopetition strategy, where both cooperative and competitive relationships are simultaneously adopted to manage supply chain relationships. Despite the relevance of this topic, how coopetitive relationships influence resilience has been less investigated so far. In this paper, we use a complex adaptive system approach to conceptualize horizontal coopetition in supply chains and develop a novel agent-based model to simulate its effect on supply chain resilient performance in different environmental conditions, characterized by increasing level of complexity and frequency of disruptions. Results show that coopetition can be beneficial for supply chain resilience and that environmental complexity (turbulence) positively (negatively) moderates this relation. Theoretical contributions and managerial implications are finally discussed.
Giovanni Francesco Massari; Ilaria Giannoccaro. Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments. International Journal of Production Economics 2021, 237, 108150 .
AMA StyleGiovanni Francesco Massari, Ilaria Giannoccaro. Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments. International Journal of Production Economics. 2021; 237 ():108150.
Chicago/Turabian StyleGiovanni Francesco Massari; Ilaria Giannoccaro. 2021. "Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments." International Journal of Production Economics 237, no. : 108150.
The ripple effect refers to disruption propagation across the supply network affecting its global performance. To cope with it, supply networks should be resilient. This study investigates the drivers of supply network resilience, viewed as adaptive capacity to disruptions, focusing on trust and investigating the moderating role of network topology on the relationship between trust and resilience. We first develop an NK agent-based model of the supply network to simulate resilient performance. Then, a simulation analysis is carried out, to assess the effect of trust on the resilience of supply networks displaying different complex topologies. Our results confirm that trust positively affects supply network resilience; however, across the different topologies, the beneficial effect of trust varies. In particular, we find that trust is beneficial at most for the following topologies: local, small-world, block-diagonal, and random. For centralised, diagonal, and hierarchical topologies improving trust increases resilience at a moderat e level. We also find that, as the frequency of disruptions rises, the positive effect of trust on resilience decreases. Managerial implications of the main findings are finally discussed.
Ilaria Giannoccaro; Anas Iftikhar. Mitigating ripple effect in supply networks: the effect of trust and topology on resilience. International Journal of Production Research 2020, 1 -18.
AMA StyleIlaria Giannoccaro, Anas Iftikhar. Mitigating ripple effect in supply networks: the effect of trust and topology on resilience. International Journal of Production Research. 2020; ():1-18.
Chicago/Turabian StyleIlaria Giannoccaro; Anas Iftikhar. 2020. "Mitigating ripple effect in supply networks: the effect of trust and topology on resilience." International Journal of Production Research , no. : 1-18.
During the last two decades, the literature devoted great attention to industrial symbiosis (IS) as an effective strategy to achieve environmental, economic, and social benefits. Accordingly, a wide range of numerical indicators – highly different among them for scope, definition, purpose, and applications – have been developed, to characterize and measure IS. The paper proposes a taxonomy of these indicators with the aim of facilitating their adoption and proper usage in practice. The taxonomy is developed on the basis of a literature review and is addressed to answer three main questions: (1) what to measure, (2) where to measure, and (3) how to measure. This offers a clear picture of available relevant IS indicators in terms of purpose, context, and methodology.
Luca Fraccascia; Ilaria Giannoccaro. What, where, and how measuring industrial symbiosis: A reasoned taxonomy of relevant indicators. Resources, Conservation and Recycling 2020, 157, 104799 .
AMA StyleLuca Fraccascia, Ilaria Giannoccaro. What, where, and how measuring industrial symbiosis: A reasoned taxonomy of relevant indicators. Resources, Conservation and Recycling. 2020; 157 ():104799.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro. 2020. "What, where, and how measuring industrial symbiosis: A reasoned taxonomy of relevant indicators." Resources, Conservation and Recycling 157, no. : 104799.
Trust is widely recognized as a predictor of positive supply network performance in terms of cost reduction and enhanced service level. However, little is known about the effect of trust on supply network resilience, i.e. the ability of the network to cope with perturbations by absorbing the disturbance and/or to quickly recover. This paper overcomes this gap by adopting a recent conceptualization of network-level trust and by developing an agent-based model of supply network, simulating its resilient performance. A simulation analysis is carried out to assess the effect of trust on the resilience of supply networks showing different interdependence structures. Results confirm that trust positively affects supply network resilience. However, we find that the benefit varies across interdependence structures, being almost neglected for supply networks exhibiting a dependent structure. Furthermore, we achieve that the higher the frequency of disruptions, the lower the beneficial effect of trust for supply network resilience.
Ilaria Giannoccaro; Anas Iftikhar. Is Network Trust Beneficial For Supply Network Resilience? A Simulation Analysis. IFAC-PapersOnLine 2019, 52, 2437 -2442.
AMA StyleIlaria Giannoccaro, Anas Iftikhar. Is Network Trust Beneficial For Supply Network Resilience? A Simulation Analysis. IFAC-PapersOnLine. 2019; 52 (13):2437-2442.
Chicago/Turabian StyleIlaria Giannoccaro; Anas Iftikhar. 2019. "Is Network Trust Beneficial For Supply Network Resilience? A Simulation Analysis." IFAC-PapersOnLine 52, no. 13: 2437-2442.
Search is a fundamental part of complex problem solving and often involves a choice between the exploration of new ideas and the exploitation of already known solutions. While literature has mainly analyzed search behavior of individuals working alone, we investigate search accomplished by individuals working in teams. We study the interplay of three theoretically grounded factors that can affect the search behavior of individuals in teams: the level of behavioral interdependence among team members, the members’ limited level of knowledge about the problem, and the performance feedback they receive. We operationalize search behavior in terms of search distance, which reflects the extent of exploration in problem space. Results show that high behavioral interdependence reduces exploration, while limited knowledge promotes exploration. Furthermore, positive performance feedback leads to reduced exploration, the more so the lower behavioral interdependence and the more limited knowledge are. We discuss theoretical and practical implications of these results for team design.
Ilaria Giannoccaro; Mirta Galesic; Giovanni Francesco Massari; Daniel Barkoczi; Giuseppe Carbone. Search behavior of individuals working in teams: A behavioral study on complex landscapes. Journal of Business Research 2019, 118, 507 -516.
AMA StyleIlaria Giannoccaro, Mirta Galesic, Giovanni Francesco Massari, Daniel Barkoczi, Giuseppe Carbone. Search behavior of individuals working in teams: A behavioral study on complex landscapes. Journal of Business Research. 2019; 118 ():507-516.
Chicago/Turabian StyleIlaria Giannoccaro; Mirta Galesic; Giovanni Francesco Massari; Daniel Barkoczi; Giuseppe Carbone. 2019. "Search behavior of individuals working in teams: A behavioral study on complex landscapes." Journal of Business Research 118, no. : 507-516.
Lade and Peterson [1], L&P hereafter, recently commented on our article by Fraccascia, Giannoccaro, and Albino [2], FGA hereafter, which provides a systematic literature review of the resilience of complex systems covering various disciplines, including environmental science, ecology, operation research, management science, engineering, computer science, economics, and psychology.
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Response to: Comment on “Resilience of Complex Systems: State of the Art and Directions for Future Research”. Complexity 2019, 2019, 1 -3.
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Response to: Comment on “Resilience of Complex Systems: State of the Art and Directions for Future Research”. Complexity. 2019; 2019 ():1-3.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2019. "Response to: Comment on “Resilience of Complex Systems: State of the Art and Directions for Future Research”." Complexity 2019, no. : 1-3.
The aim of this paper is to propose a taxonomy of industrial symbiosis (IS) business models. Rather than to adopt a firm perspective, we take a system perspective and focus on the governance of the system made up of the firms implementing IS, being the latter considered an important factor influencing firm’s competitive advantage. Four extreme IS business models are identified, characterized on the basis of two governance features: (1) need for coordination and (2) centralization of control. For each model, the main characteristics are presented and the main factors influencing firm value creation and value capture discussed. In doing so, our study contributes to clarify how and why firms applying IS practice can gain competitive advantage, a major gap in the current literature. Consequently, we contribute to the practical development of IS, which appears to be still not fully exploited by firms, despite its relevance.
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Business models for industrial symbiosis: A taxonomy focused on the form of governance. Resources, Conservation and Recycling 2019, 146, 114 -126.
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Business models for industrial symbiosis: A taxonomy focused on the form of governance. Resources, Conservation and Recycling. 2019; 146 ():114-126.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2019. "Business models for industrial symbiosis: A taxonomy focused on the form of governance." Resources, Conservation and Recycling 146, no. : 114-126.
Collective intelligence is defined as the collective ability of human groups in solving different tasks. It explains why some teams perform better than others by exploiting the power of social relationships, so motivating research on which features of social relationships can improve it. We contribute to this line of research by analyzing the effect of distrust relationships, in which individuals involved tend to make antagonistic decisions, on collective intelligence. Borrowing from previous studies that recognize consensus seeking among self-interested individuals as a critical process for the emergence of collective intelligence, we investigate the relationship between scope of distrust (i.e., the extent to which distrust relationships are spread in the group) and group performance (measured as efficacy to solve a decision making problem), in different conditions of strength and density of social relationships. To do this, we employ a simulation model coming from physical statistics, where collective dynamics are governed by a continuous-time Markov process. Results show that scope of distrust can be beneficial or not for group performance, depending on the value of the strength and the density of social interactions. When the strength (density) of social relationships is too low, any scope of distrust is detrimental for group performance, while when the strength (density) of social relationships is moderately high, low scope of distrust can be useful to improve group performance. Theoretical and managerial implications of these findings are finally discussed.
Giovanni F. Massari; Ilaria Giannoccaro; Giuseppe Carbone. Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence. International Journal of Production Economics 2018, 208, 343 -355.
AMA StyleGiovanni F. Massari, Ilaria Giannoccaro, Giuseppe Carbone. Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence. International Journal of Production Economics. 2018; 208 ():343-355.
Chicago/Turabian StyleGiovanni F. Massari; Ilaria Giannoccaro; Giuseppe Carbone. 2018. "Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence." International Journal of Production Economics 208, no. : 343-355.
Ilaria Giannoccaro; Vito Albino; Anand Nair. Advances on the Resilience of Complex Networks. Complexity 2018, 2018, 1 -3.
AMA StyleIlaria Giannoccaro, Vito Albino, Anand Nair. Advances on the Resilience of Complex Networks. Complexity. 2018; 2018 ():1-3.
Chicago/Turabian StyleIlaria Giannoccaro; Vito Albino; Anand Nair. 2018. "Advances on the Resilience of Complex Networks." Complexity 2018, no. : 1-3.
This paper reviews the state of the art on the resilience of complex systems by embracing different research areas and using bibliometric tools. The aim is to identify the main intellectual communities and leading scholars and to synthesize key knowledge of each research area. We also carry out a comparison across the research areas, aimed at analyzing how resilience is approached in any field, how the topic evolved starting from the ecological field of study, and the level of cross-fertilization among domains. Our analysis shows that resilience of complex systems is a multidisciplinary concept, which is particularly important in the fields of environmental science, ecology, and engineering. Areas of recent and increasing interest are also operation research, management science, business, and computer science. Except for environmental science and ecology, research is fragmented and carried out by isolated research groups. Integration is not only limited inside each field but also between research areas. In particular, we trace the citation links between different research areas and find a very limited number, revealing a scarce cross-fertilization among domains. We conclude by providing some directions for future research.
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Resilience of Complex Systems: State of the Art and Directions for Future Research. Complexity 2018, 2018, 1 -44.
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Resilience of Complex Systems: State of the Art and Directions for Future Research. Complexity. 2018; 2018 ():1-44.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2018. "Resilience of Complex Systems: State of the Art and Directions for Future Research." Complexity 2018, no. : 1-44.
Ilario De Vincenzo; Giovanni F. Massari; Ilaria Giannoccaro; Giuseppe Carbone; Paolo Grigolini. Mimicking the collective intelligence of human groups as an optimization tool for complex problems. Chaos, Solitons & Fractals 2018, 110, 259 -266.
AMA StyleIlario De Vincenzo, Giovanni F. Massari, Ilaria Giannoccaro, Giuseppe Carbone, Paolo Grigolini. Mimicking the collective intelligence of human groups as an optimization tool for complex problems. Chaos, Solitons & Fractals. 2018; 110 ():259-266.
Chicago/Turabian StyleIlario De Vincenzo; Giovanni F. Massari; Ilaria Giannoccaro; Giuseppe Carbone; Paolo Grigolini. 2018. "Mimicking the collective intelligence of human groups as an optimization tool for complex problems." Chaos, Solitons & Fractals 110, no. : 259-266.
This paper contributes to green product development by identifying the green products with the highest potential for growth in a country. To address our aim, we use the concept of product proximity and product space and, borrowing from the results of recent studies on complexity economics, we advance that the green products with the highest potential for growth among all green products in a given country are those being in close proximity to the products a country produces with high Relative Comparative Advantage (RCA). We test this hypothesis performing a regression analysis. We build the product space for 141 different countries for the years between 2005 and 2013 and for each country we compute the maximum proximity of each green product to the products with high RCA (i.e., the proximity of the product source of competitive advantage closest to the green product considered). Results confirm that green products with high maximum proximity to the products with high RCA had the highest growth. So doing, we contribute to the literature by providing a new application of the product space as a policy making tool for green development. We also provide several applications of the proposed method
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Green product development: What does the country product space imply? Journal of Cleaner Production 2018, 170, 1076 -1088.
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Green product development: What does the country product space imply? Journal of Cleaner Production. 2018; 170 ():1076-1088.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2018. "Green product development: What does the country product space imply?" Journal of Cleaner Production 170, no. : 1076-1088.
Control over suppliers is a core issue for a buying firm. Despite the amount of research on the topic, how much of its supply network (i.e., scope of control) a buying firm should control, so as to increase supply network performance, is a question that has not received adequate research attention. The study addresses this research question by considering the supply network as a complex adaptive system and developing an empirically informed agent-based simulation model using the NK fitness landscape framework, to examine how varying levels of scope of control influence supply network performance. We also investigate the direct effect of two supply network complexity dimensions (i.e., number of firms and level of supply interactions) on supply network performance and the moderating effect played by the scope of control. Results show that the relationship between scope of control and supply network performance follows an inverted-U shape. Furthermore, we find that the complexity dimensions negatively affect supply network performance with the performance decrease depending on the scope of control. Based on these findings, we formulate different control strategies to mitigate the negative influence of complexity.
Ilaria Giannoccaro; Anand Nair; Thomas Choi. The Impact of Control and Complexity on Supply Network Performance: An Empirically Informed Investigation Using NK Simulation Analysis. Decision Sciences 2017, 49, 625 -659.
AMA StyleIlaria Giannoccaro, Anand Nair, Thomas Choi. The Impact of Control and Complexity on Supply Network Performance: An Empirically Informed Investigation Using NK Simulation Analysis. Decision Sciences. 2017; 49 (4):625-659.
Chicago/Turabian StyleIlaria Giannoccaro; Anand Nair; Thomas Choi. 2017. "The Impact of Control and Complexity on Supply Network Performance: An Empirically Informed Investigation Using NK Simulation Analysis." Decision Sciences 49, no. 4: 625-659.
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements. Ecological Economics 2017, 137, 148 -162.
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements. Ecological Economics. 2017; 137 ():148-162.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2017. "Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements." Ecological Economics 137, no. : 148-162.
Despite the theoretical value of industrial symbiosis (IS), this approach appears to be underdeveloped in terms of practical applications. Different attempts to stimulate IS in practice are noticed, one of them consisting in the application of adequate policy measures. This paper explores the efficacy of two specific policies (landfill tax and economic subsidy for IS exchanges) in supporting the emergence of self-organized industrial symbiosis networks (ISNs). We frame the ISNs as complex adaptive systems and we design an agent-based model to simulate their emergence. We use a real case study and, by means of the simulation model, we assess how the two policy measures are able to enhance the formation of spontaneous IS relationships, thereby forcing the emergence of the ISN. Results show that both policy measures have a positive effect in all scenarios considered, but the extent is strictly dependent on the environmental conditions in which IS relationships occur. The economic implications for the government are finally discussed.
Luca Fraccascia; Ilaria Giannoccaro; Vito Albino. Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study. Sustainability 2017, 9, 521 .
AMA StyleLuca Fraccascia, Ilaria Giannoccaro, Vito Albino. Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study. Sustainability. 2017; 9 (4):521.
Chicago/Turabian StyleLuca Fraccascia; Ilaria Giannoccaro; Vito Albino. 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study." Sustainability 9, no. 4: 521.
Published in Procedia Engineering 180:812-82, 2017International audienceAn exhibition system is typically a physical open space made of several buildings devoted to performing demonstrations or social activities. Several examples of exhibition systems can be found word wide. The management of these spaces, even in presence of a limited number of activities, requires significant efforts: safety, welcome, merchandising, public services, etc. Nowadays, the new trend is to offer multiple, contemporary use of exhibition spaces, allowing exhibition events and regular social activities (commercial, cultural, etc.) to be dynamically intertwined, either to endeavor the huge economic investments behind infrastructures or to increase the attractiveness of the exhibition activities.This is the case of “Fiera del Levante”, one of the oldest exhibitions located in a fascinating central area on the seaside of the city of Bari - Italy. Here, multiple social scopes, such as multi-exhibitions and contemporary social activities related to public offices, restaurants and entertainment, live together. This is an almost unique setting, which makes Fiera del Levante (FdL) a complex system and makes the management of the exhibition a challenging co-management task.The paper deals with the development and demonstration of a complex-system modeling framework for the decision support of the co-management of Fiera del Levante exhibition system, taking into account the interaction both physical aspects (building assets, infrastructure, equipment, fittings, …) and intangible aspects (permanent and temporary events, management and business activities, etc) and, of course, considering as a main input the needs of the different stakeholders involved
Giuseppina Uva; Michele Dassisti; Francesco Iannone; Giuseppe Florio; Franco Maddalena; Michele Ruta; Alfredo Grieco; Ilaria Giannoccaro; Vito Albino; Mario Lezoche; Alexis Aubry; Antonio Giovannini; Alessandro Buscicchio; Yasamine Eslami; Valeria Leggieri. Modelling Framework for Sustainable Co-management of Multi-purpose Exhibition Systems: The “Fiera del Levante” Case. Procedia Engineering 2017, 180, 812 -821.
AMA StyleGiuseppina Uva, Michele Dassisti, Francesco Iannone, Giuseppe Florio, Franco Maddalena, Michele Ruta, Alfredo Grieco, Ilaria Giannoccaro, Vito Albino, Mario Lezoche, Alexis Aubry, Antonio Giovannini, Alessandro Buscicchio, Yasamine Eslami, Valeria Leggieri. Modelling Framework for Sustainable Co-management of Multi-purpose Exhibition Systems: The “Fiera del Levante” Case. Procedia Engineering. 2017; 180 ():812-821.
Chicago/Turabian StyleGiuseppina Uva; Michele Dassisti; Francesco Iannone; Giuseppe Florio; Franco Maddalena; Michele Ruta; Alfredo Grieco; Ilaria Giannoccaro; Vito Albino; Mario Lezoche; Alexis Aubry; Antonio Giovannini; Alessandro Buscicchio; Yasamine Eslami; Valeria Leggieri. 2017. "Modelling Framework for Sustainable Co-management of Multi-purpose Exhibition Systems: The “Fiera del Levante” Case." Procedia Engineering 180, no. : 812-821.
In practice, product design decisions in a buyer-supplier setting can be either centralized or decentralized. Yet, it is unclear in what circumstances either of these settings can result in higher new product performance. In this study, we show that the choice of the level of centralization of product design decisions should be made contingent to the product complexity and behavioral factors of project managers involved in the decisions. In particular, we examine the influence of the cognitive ability, resistance to change, and cognitive effort of the project managers on the choice of the level of centralization of product design decisions. A methodology coming from complexity science is adopted and a simulation analysis is carried out. Results confirm that product complexity affects the relationship between the level of centralization of the product design decisions and product performance. Furthermore, we show that the benefit of centralized product design decisions is influenced by the level of cognitive effort, cognitive ability, and resistance to change of project managers. The analysis is performed in two different contexts characterized by varying levels of trust between the buyer and supplier. We discuss the implications of our findings for theory and practice.
Ilaria Giannoccaro; Anand Nair. Examining the Roles of Product Complexity and Manager Behavior on Product Design Decisions: An Agent-Based Study Using NK Simulation. IEEE Transactions on Engineering Management 2016, 63, 237 -247.
AMA StyleIlaria Giannoccaro, Anand Nair. Examining the Roles of Product Complexity and Manager Behavior on Product Design Decisions: An Agent-Based Study Using NK Simulation. IEEE Transactions on Engineering Management. 2016; 63 (2):237-247.
Chicago/Turabian StyleIlaria Giannoccaro; Anand Nair. 2016. "Examining the Roles of Product Complexity and Manager Behavior on Product Design Decisions: An Agent-Based Study Using NK Simulation." IEEE Transactions on Engineering Management 63, no. 2: 237-247.
Vito Albino; Luca Fraccascia; Ilaria Giannoccaro. Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. Journal of Cleaner Production 2016, 112, 4353 -4366.
AMA StyleVito Albino, Luca Fraccascia, Ilaria Giannoccaro. Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. Journal of Cleaner Production. 2016; 112 ():4353-4366.
Chicago/Turabian StyleVito Albino; Luca Fraccascia; Ilaria Giannoccaro. 2016. "Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study." Journal of Cleaner Production 112, no. : 4353-4366.
Ilaria Giannoccaro. Adaptive supply chains in industrial districts: A complexity science approach focused on learning. International Journal of Production Economics 2015, 170, 576 -589.
AMA StyleIlaria Giannoccaro. Adaptive supply chains in industrial districts: A complexity science approach focused on learning. International Journal of Production Economics. 2015; 170 ():576-589.
Chicago/Turabian StyleIlaria Giannoccaro. 2015. "Adaptive supply chains in industrial districts: A complexity science approach focused on learning." International Journal of Production Economics 170, no. : 576-589.
This paper focuses on the positive relationship between trust and performance in the supply chain and investigates whether and how the interdependence structure of the supply chain moderates this relationship. Interdependence occurs in supply chains because supply chain partners depend upon one another for product and process accomplishments and for the tangible and intangible resources owned by their partners. Framing the supply chain as a complex adaptive system, we argue that, in supply chain contexts, both the degree of interdependence (i.e., the average number of interactions among the supply chain firms) and the overall interdependence pattern (which maps with who each supply chain firm interacts) moderate the relationship between trust and supply chain performance. The proposed conceptual framework is operationalized through the NK fitness landscape model and tested using simulation and Tobit regression analyses. Results confirm that the specific interdependence pattern that characterizes the supply chain has a significant moderating effect on the relationship between trust and supply chain performance, while the moderating effect exerted by the degree of interdependence is not statistically significant
Antonio Capaldo; Ilaria Giannoccaro. How does trust affect performance in the supply chain? The moderating role of interdependence. International Journal of Production Economics 2015, 166, 36 -49.
AMA StyleAntonio Capaldo, Ilaria Giannoccaro. How does trust affect performance in the supply chain? The moderating role of interdependence. International Journal of Production Economics. 2015; 166 ():36-49.
Chicago/Turabian StyleAntonio Capaldo; Ilaria Giannoccaro. 2015. "How does trust affect performance in the supply chain? The moderating role of interdependence." International Journal of Production Economics 166, no. : 36-49.