Interdependence and network-level trust in supply chain networks: A computational study

Capaldo, Antonio; Giannoccaro, Ilaria

doi:10.1016/j.indmarman.2014.10.001

Cited by 74 publications

(71 citation statements)

References 118 publications

(150 reference statements)

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“…It is consistent with a long tradition of creating simple yet insightful models of the organizations as complex adaptive systems, by means of NK fitness landscape in both singlefirm [31,[33][34][35][36] and multifirm [37][38][39][40][41][42] contexts. In these stream of studies, the organization is supposed to search for high-performing combinations of N interdependent decisions (choice configurations) [43].…”

Section: Introductionsupporting

confidence: 84%

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Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions

2018

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How are teams able to cope with environmental threats? Why are some teams better than others in facing this challenge? This paper addresses these questions by investigating two drivers of team resilience: the team size and the density of social interactions among team members. We adopt a complex system approach and employ a model of team decision-making where collective dynamics of team members are governed by a continuous-time Markov process. The model simulates team performance in complex and turbulent environments. It is used to measure the resilient ability of team to quickly adapt to disturbance and secure a new more desirable condition. Scenarios characterized by increasing levels of complexity and turbulence are simulated, and the resilience performance is calculated and compared. Results show that the team size negatively affects the team resilience, whilst the density of social interactions plays a positive influence, especially at a high level of complexity. We also find that both the magnitude and the frequency of disturbance moderate the relationship between team size/density and the team resilience.

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Section: Introductionsupporting

confidence: 84%

“…The higher K, the more complex the landscape is. Solving a NK Kaufmann combinatorial problem, that is, finding the optimum of the NK landscape, is classified for K > 2 as a NPcomplete problem [68] (for details about the landscape generation see [25,28,29,[37][38][39][40][41]69] …”

Section: The Modelmentioning

confidence: 99%

Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions

2018

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“…Natural ecosystems and supply chains are examples of CASs [37][38][39][40][41][42] that exhibit strong similarities with ISNs [43][44][45]. Recently, self-organized ISNs have been also recognized as CASs, where firms are agents who interact with each other in exchanging wastes.…”

Section: A Complex Adaptive Systems Approach For Self-organized Isnsmentioning

confidence: 99%

Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study

2017

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Abstract: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.

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“…Sahay (2003) described the trust factors related to collaborating enterprises as follows: the cost and/or profit side of the relationship, the foreseeable good performance and procedure, the role of common values and standards, the fact that the other party is able to meet its commitments, the development of trust, the long-term strategy, the transfer of trust as well as the commitments and competence-based trust can be achieved also if one of the partners are able to meet its commitments. Three aspects of a supply chain network influence network-level trust in supply chains: the number of uninfluenced partners, the number of uninfluential partners and the degree of interdependence (Capaldo and Giannoccaro 2015). Morgan and Hunt (1994) emphasise the importance of meeting commitments, since this is the pre-requisite of trust for partners in the supply chain.…”

Section: Factors Of Trust Levels In Inter-organisational Relationshipsmentioning

confidence: 99%

An Examination of Trust as a Strategical Factor of Success in Logistical Firms

Oláh

Karmazin²,

Fekete

et al. 2017

Business: Theory and Practice

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The aim of this research is to examine the effect of the role and level of in-sector trust (involving clients, subcontractors, and other logistics providers) and trust within firms in creating competitiveness in logistics service providers. The data were collected from 51 logistics service providers in Hungary. During our research we established that trust related to staff is decisive in the direction of the firm’s profitability, and the trust communicated by the top manager (trust in partners) is essential in ensuring smooth operations and long term, stable flexible cooperation. The results of this paper effectively support logistics service providers in finding economic success factors, thanks to which they can completely satisfy the expectations of customers in the supply chain.

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Interdependence and network-level trust in supply chain networks: A computational study

Cited by 74 publications

References 118 publications

Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions

Team Resilience in Complex and Turbulent Environments: The Effect of Size and Density of Social Interactions

Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study

An Examination of Trust as a Strategical Factor of Success in Logistical Firms

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