Supply Chain Trust

Reports on supply chains as major sources of cybersecurity threats. Companies and organizations increasingly share data, credentials, software code, applications, networks, and infrastructures with “trusted” supply chain partners. Supply chains can be sources of cybervulnerabilities. One estimate has suggested that supply chains account for 80% of all cyber breaches. Insecure supply chains have fostered well-known cyberattacks. In a quest to break large organizations' networks, cyber-criminals may look beyond the first-tier supply chain partners

Supply Chain Sustainability - The Role of Trust and Relationship

This action research project aims to improve economic, social and environmental sustainability of the pre-cast concrete and construction and demolition waste supply chains through the development, trial and evaluation of an innovative supply chain management strategy. The long-term goals are to improve competitive behaviour and market sector performance and improve business process efficiency and effectiveness of public sector program delivery by influencing policy development, changing organisational behaviour and implementation development to achieve economic, social and environmentally sustainable markets. In order to facilitate this, the culture change brought about by implementing relationship management in the supply chain is investigated and this paper reports on this aspect of the project

Shifting trust in construction supply chains through blockchain technology

Purpose: Blockchain technology is booming in many industries. Its application in supply chain management is also gradually increasing. Supply chain management (SCM) has long been committed to reducing costs and increasing efficiency and is trying to optimise resources and reduce the sector's fragmentation. Trust has always been an important factor in managing supply chain relationships, and it also affects the efficiency of supply chain operations. To this end, this study aims to examine how trust is affected by the introduction of blockchain technology in construction supply chain management. Design/methodology/approach: This study is based on semi-structured interviews and publicly available information from experts in blockchain and construction supply chain management. Through content analysis, the data are analysed thematically to explore how various types of trust, such as system-based, cognition-based and relation-based, are affected by blockchain technology. Findings: Blockchain technology provides solutions for data tracking, contracting and transferring resources in supply chain management. These applications help enhance the various sources of trust in SCM and provide supply chain partners with protection mechanisms to avoid the risks and costs of opportunistic behaviour in collaboration, shifting trust from relational to system-based and cognition-based. Research limitations/implications: This study focuses only on inter-organisational rather than interpersonal trust and empirical data from experts whose knowledge and cognition could be subjective. Practical implications: Leveraging the potential of digitalisation to manage trust requires that leaders and managers actively try to improve contractual arrangements, information sharing and being open to new innovative technologies like blockchain. Social implications: From a relational view of supply chain management, the extent to which blockchain technology can develop and spread depends on the readiness of the social capital to accept decentralised governance structures. Originality/value: This study builds upon an original data set and discusses features and applications of blockchain technology, explores the sources and dimensions of trust in supply chain management and explains the impact of blockchain technology on trust

How can consumer trust in organic products be enhanced?

The study presented explores consumer trust in organic food and the effectiveness of enhancing consumer trust by communication strategies on traceability. The research is based on the general finding that trust is one of the most crucial aspects when consumer decide whether to buy or not to buy organic products. However, there are hardly any empirical works which analyse in detail consumer trust in organic food and the ways it can be enhanced. First, based on a quantitative inquiry of 600 persons in Germany the study presented investigates consumer trust in the different actors involved in the organic supply chain (farmers, processors, traders, labels), in distinct attributed qualities such as benefits for health, ecology and animal welfare as well as the customers’ criteria for assessing trustworthiness of the organic products. Empirical data is analysed by multivariate statistics such as cluster analysis to identify distinct consumer segments with respect to their trust characteristics. In a second step there will be a qualitative research method using interviews combined with a visualizing technique. The aim of this method is to understand the consumers’ attitudes towards the supply chain of organic food and the complex construct of trust better. The results shall help to develop communication strategies for enhancing consumer trust in organic food

Trust in supply chain relationships and its impact on organisation and supply chain performance

This thesis identifies the role of trust in the supply chain relationship on supply chain performance and organisation performance. An extensive review of literature identified a lack of empirical research to fill a gap in supply chain and operations management knowledge and this gap is mainly related to identification of the role that trust has on performance. This thesis considers this gap with other relevant issues identified through the literature. It presents a research framework formulated to tackle the research problem and reports an attempt to fill the existing gap through empirical research. The thesis contains analyses of three case studies related to three different territories, namely; Oman, United Arab Emirates (UAE) and State of Qatar. The case studies encompass large and medium size organisations from three different industrial settings. In Oman, the case study is related to oilfield services and the oil production industry while in UAE the case study is related to real estate and the property development industry, and the case study in Qatar is related to the chemical industry. In addition to identifying the influence of trust in supply chain relationships on organisation performance and supply chain performance, the research considers the influence of the duration of the supply chain relationship on trust development in the relationship. Additionally, it explores the impact of trust on the avoidance of the bullwhip effect in the supply chain and shows through empirical evidence the role of trust in minimising supply chain risk. Consideration is given to the impact of different territory and different industrial settings on the trust/performance relationship. Triangulation of research approaches and methods is utilised in this research to enrich the research findings by exploiting the advantages of each approach and method advantages while reducing the disadvantages through complementarities between them. The results of this thesis indicate that the supply chain parties should adopt trust in their relationship whenever considering supply chain performance improvement, organisation performance improvement, and overcoming risk

AML Modeling of Trust in Supply Chain Management

Agent Modeling Language (AML) is a semiformal visual modeling language for specifying, modeling and documenting systems in terms of concepts drawn from Multi Agent Modeling (MAS) theory. Supply chain management (SCM) is the management of network of interconnected business which spans all movements of services and goods from the point of origin to the point of consumption. In SCM, Trust modeling is an important and crucial aspect from the perspective of sustainability of the supply chain and efficient performance in business. In the supply chain, the more we trust, the more we exchange information on demand and on forecast of the last customer so as with the level of stock and on the forecast of the suppliers. In this work, we attempted to model the Trust in SCM using AML and proposed a MAS SCM model of trust in supply chain management. The proposed model is implemented using JADE and the simulation results demonstrated the impact of trust in supply chain along with the evolution of trust

Peran Dependency, Commitment, Trust Dan Communication Terhadap Kolaborasi Rantai Pasok Dan Kinerja Perusahaan: Studi Pendahuluan

. Supply Chain Collaboration plays a significant role to the effectiveness of organizations. This preliminary study aims to identify social psychology factors that might influence collaborative relationship within a supply chain network, in the context of medium-sized food manufacturing enterprise. The supply chain collaboration practice and its impact of implementation on firm's performance, both operational and financial, were investigated. Based on this purposes, a survey within a case study approach was conducted. The data were collected from one medium scale food manufacturing enterprise. A partial least squares-path modeling (PLS-PM) was proposed for conceptualizing and measuring the effects of dependence, commitment, trust, and communication on supply chain collaboration. The effect of supply chain collaboration on firm's performance was also measured and quantified. From buyer's perspective, the study reveals that commitment and trust positively affect supply chain collaboration and that supply chain collaboration has a considerable effect on firm's performance. Meanwhile, dependence influences the collaboration indirectly through commitment, while communication influences the collaboration indirectly through trust