Search results

This paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.

Based on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.

The results show that although certain supply chain risks seem unrelated to corruption, their mitigation would help mitigate the impact of corruption due to risk interactions; and mitigation of some of the risks is more effective in mitigating the impact of corruption. Leverage risks have been defined and identified in this research, which expands the extant knowledge in reducing the impact of corruption on supply chains.

The research illustrates how the impact of corruption can be studied in an integrated way with dairy supply chain SD analysis. It is a pioneering study to mitigate the impact of corruption on supply chains from supply chain robustness.

A growing number of private, voluntary and mandatory sustainability standards have recently emerged. However, supply chain corruption practices as mechanisms to circumvent sustainability standards have also grown and occur regularly. This paper strives to elaborate theory on the intersection of institutional theory, business corruption and the sustainability standards literature by investigating factors that influence the emergence of supply chain corruption practices.

Based on secondary data, four in-depth case studies of supply chain corruption practices are investigated through the use of adaptive theory and the method of constant comparisons to elaborate theory on this important phenomenon.

The paper suggests that although sustainability standards can improve supply chain sustainability performance, if they are adopted only symbolically and not substantively, unanticipated outcomes such as supply chain corruption may occur. The study proposes a typology of supply chain corruption practices, further explores the symbolic adoption of sustainability standards in supply chains and proposes the novel construct of “social isomorphism for corruption.” Since focal companies play central roles in leading supply chain corruption practices, we reason that they can also play a pivotal role in preventing supply chain corruption practices by promoting the substantive adoption of sustainability standards across their supply chains.

This paper elaborates theory on the challenging phenomenon of corruption in supply chains by linking the supply chain management literature to the corruption and the sustainability discourses and offers important insights to aid our understanding on the topic. It generates six propositions and four contributions to the sustainable supply chain management theory, practice and policy.

This study aims to explore the spillover effects of supply chain corruption practices (SCCPs) on stock returns along the supply chain and within the industry. Specifically, it investigates how SCCPs affect the stock returns of corrupt firms' bystander supply chain partners and industry peers, both of which are not involved in the SCCPs.

The authors employ the event study methodology to quantify SCCPs' spillover effects in terms of abnormal stock returns. The analysis is based on 117 SCCPs occurring in China between 2014 and 2021.

The event study results show that SCCPs have negative effects on the stock returns of corrupt firms' bystander supply chain partners. Such negative effects are more pronounced for bystander buyers than bystander suppliers. However, SCCPs do not have a significant impact on the stock returns of corrupt firms' industry peers. Additional analysis further suggests that SCCPs are more likely to affect the stock returns of domestic rather than overseas bystander supply chain partners.

This study is the first attempt to thoroughly examine the spillover effects of SCCPs along the supply chain and within the industry, advancing the understanding of the financial consequences of SCCPs and providing important implications for future research and practices related to supply chain corruption.

This paper aims to identify academic literature studies on corruption in the supply chain management (SCM) from 2005 to 2016 to propose a research agenda. The review links this possible new course of research within the sustainable development goals (SDGs) framework, proposed by the United Nations from 2015 to 2030.

A literature review method was used in the academic research to identify which approaches are used for corruption in SCM. The analysis of the context of SDGs required an integrated approach once the goals are interconnected.

Despite the increase in research studies in 2015, there is still little research focusing specifically on corruption in SCM. There is a broad opportunity to connect the research on corruption in SCM with the context of the practice to achieve the SDGs.

Considering the economic, social and environmental risks of corruption practices in SCM and the scarce academic literature on these themes together, a research agenda with interdisciplinary groups is suggested to deepen the subjects. There are some questions related to corruption in SCM and its connections with practice to achieve the SDGs.

To improve robustness of a dairy supply chain (SC) against corruption, the purpose of this paper is to propose a systemic model of a corruption impacted dairy SC, exposing relationships among SC operations, risks and the impact of corruption.

Cases from the dairy industry in New Zealand (NZ) are used for thematic analysis of interview data collected from participants at senior levels of NZ dairy firms. Based on these and other inputs from literature, a systemic model is built subsequently.

Mitigating certain risks can significantly alleviate the impact of corruption, an external factor, on supply chain performance (SCP). The causal loop diagram (CLD) developed here brings out the modifying effect of corruption on dairy risks and SCP.

The illustration of the CLD helps business managers better understand the interactions among risk variables and explains the systemic reasons for SC vulnerability.

This is the first paper to construct a holistic system to comprehensively reveal the interactions of supply chain risks (SCRs) and the impact of corruption. Also, by utilizing SCR interactions, this study indicates a pathway to mitigate the negative effects of corruption through improving dairy SC robustness.

The purpose of the study is to explore, with anchorage in theories about the normalization of corruption, under what conditions blockchain technology can mitigate corruptive practices of multinational enterprises (MNEs) in emerging markets (EMs).

By synthesizing a technological perspective and theory on corruption, the authors examine the feasibility of blockchain for fighting corruption in MNEs’ business operations in EMs.

Blockchain technology is theorized to have varying mitigating effects on the rationalization, socialization and institutionalization of corruption. The authors provide propositions describing the effects and the limitations of blockchain for mitigating corruption in EMs.

This paper offers a perspective for how to tackle acute business problems and social problems pronounced in international business but also prevailing elsewhere.

The study contributes to literature in international management by systematically exploring how and under what conditions blockchain can mitigate the normalization of corruption.

The prevalent practice of construction supply chain (CSC) in developing countries with a focus on Africa was presented in this chapter. Two African countries (South Africa and Ghana) were selected due to the extensive literature on the CSC emanating from the countries. The impediment to the effective management of the CSC in the two African countries was also examined in this chapter. It was discovered that the vital inhibition to the performance of CSC in developing countries is the adoption of culture from developed countries without a proper model for ensuring its implementation in developing countries. Also, no model has incorporated the principles and technologies of the fourth industrial revolution (4IR) to manage the CSC. The failure to adopt the 4IR technologies like block chain, big data and the internet of things has prevented the proper application of CSC practices in developing countries. CSC practices like collaboration, integration, lean supply chain, information sharing, financial management and communication are the primary practice in developing countries. Finally, this chapter called for the development of a model for managing the CSC in developing countries in alignment with the principles of the 4IR.

Supply chain fraud is a significant global concern for firms, consumers and governments. Evidence of major fraud events suggests the role of supply chain structures in enabling and facilitating fraud, as they often involve several parties in complicated networks designed to obfuscate the fraud. This paper identifies how the structural characteristics of supply chains can play an important role in enabling, facilitating and preventing fraud.

The research follows a theory elaboration approach. The authors build on structural holes theory in conjunction with a multiple case study research design to identify new concepts and develop propositions regarding the role of network structure on supply chain fraud.

This research shows how structural holes in a supply chain can create advantages for unscrupulous firms, a role we call tertius fraudans, or the cheating third. This situation is exacerbated by structural ignorance, which refers to the lack of knowledge about structural connections in the network. Both structural holes and structural ignorance can create information gaps that facilitate fraud, and the authors propose solutions to detect and prevent this kind of fraud.

This paper extends structural holes theory into the domain of fraud. Novel concepts including tertius fraudans, structural ignorance and bridge collapse are offered, alongside a series of propositions that can help understand and manage structural supply chain fraud.

This pathway paper offers research guidance for investigating illegal supply chains as they increasingly threaten societies, economies and ecosystems. There are implications for policy makers to consider incorporating supply chain expertise.

The authors’ work is informed by the team's previous and ongoing studies, research from fields such as criminology, investigative journalism and legal documents.

Illegality occurs in many supply chains and consists in multiple forms. Certain sectors, supply chain innovations, longer supply chains, and heterogeneous regulations and enforcement exacerbate illegal activities. But illegal activity may be necessary for humanitarian, religious or nationalistic reasons. These areas are under explored by supply chain researchers.

By encouraging supply chain academics to research in this area as well as form collaborative partnerships outside of the discipline, the authors hope to move the field forward in prevention as well as learning from illegal supply chains.

Practitioners seek to prevent issues like counterfeiting with their products as well as fraud for economic and reputational reasons.

Governments strive to minimise impacts on their economies and people, and both governments and NGOs attempt to minimise the negative social and environmental impacts. Policy makers need supply chain researchers to evaluate new laws to prevent enabling illegality in supply chains.

As an under-explored area, the authors suggest pathways such as partnering with other disciplines, exploring why these supply chains occur, considering other data sources and methodologies to interdict illegality and learning from illegal supply chains to improve legal supply chains.