Differences in security risk perceptions between logistics companies and cargo owners

2016 ◽  
Vol 27 (2) ◽  
pp. 418-437 ◽  
Author(s):  
Luca Urciuoli ◽  
Juha Hintsa

Purpose – Supply chain stakeholders may perceive security risks differently and thereby misalign mitigation strategies. Hence, causing weak spots in supply chains and thereby disruptions. The purpose of this paper is to determine whether supply chain companies actually perceive security risks and effectiveness of mitigation strategies differently. Design/methodology/approach – Two survey studies measuring perception of security risks and effectiveness of measures have been developed and used to collect data from European and Latin American companies, grouped as cargo owners and logistics companies. Findings – The findings of the surveys unveil that only two (out of six) security risks, namely, violation of customs non-fiscal regulations and illegal immigration, show significant differences between the two groups of companies. In addition, the surveys show that companies perceive equally the effectiveness of security measures. This study concludes that supply chains seem to have good visibility over the security risks of their partners. Hence, in terms of security, supply chain companies seem to have achieved a common understanding of risks and furthermore are able to act jointly to secure assets and operations. Originality/value – Previous research claim supply chain stakeholders may perceive risks differently and thereby may fail to correctly align mitigation strategies. Yet, to the authors knowledge, previous research has not empirically demonstrated these differences in perceptions of risks and mitigation strategies.

2020 ◽  
Vol 13 (1) ◽  
pp. 103-128 ◽  
Author(s):  
Shipra Pandey ◽  
Rajesh Kumar Singh ◽  
Angappa Gunasekaran ◽  
Anjali Kaushik

Purpose The purpose of this study is to examine cyber security risks in globalized supply chains (SCs). It has been seen to have a greater impact on the performance of SCs. The information and communication technology of a firm, which enhances the efficiency and effectiveness in the SC, could simultaneously be the cause of vulnerabilities and exposure to security threats. Researchers have primarily focussed on the cyber-physical system (CPS) vulnerabilities impacting SC. This paper tries to categorize the cyber security risks occurring because of the SCs operating in CPS. Design/methodology/approach Based on the flow of information along the upstream and downstream SC, this paper tries to identify cyber security risks in the global SCs. It has further tried to categorize these cyber security risks from a strategic point of view. Findings This paper tries to identify the various cyber security risk and cyber-attacks in globalized SC for improving the performance. The 16 cyber security risks have been categorized into three categories, namely, supply risk, operational risk and demand risk. The paper proposes a framework consisting of different cyber-attacks across the information that flows in global SCs along-with suitable mitigation strategies. Research limitations/implications The paper presents the conceptual model of cyber security risks and cyber-attacks in globalized SCs based on literature review and industry experts. Further validation and scale development of these risks can be done through empirical study. Practical implications This paper provides significant managerial insights by developing a framework for understanding the cyber security risks in terms of the drivers of these risks and how to deal with them. From a managerial perspective, this framework can be used as a decision-making process while considering different cyber security risks across the stages of globalized SCs. Originality/value The major contribution of this study is the identification and categorization of cyber security risks across the global SCs in the digital age. Thus, this paper introduces a new phenomenon to the field of management that has the potential to investigate new areas of future research. Based on the categorization, the paper provides insights on how cyber security risks impact the continuity of SC operations.


Author(s):  
Tridib Bandyopadhyay

Managers often decide to integrate supply chains of collaborating firms. Whether such decisions are for competitive posture, cost saving or operational efficiencies, it is important to understand that supply chains integrate not only the flow of goods but also the information processes and assets and more often than not, the IT networks of the firms. Thus two developments occur. First, IT security losses of one firm collocate at the other firm's servers as information assets like demand forecasts are shared. Second, the Intranets of both firms get connected with the help of VPN or similar technologies, making it possible that a breach can travel from one firm to the other. This in turn makes IT security risks of SC firms strategically interdependent. This chapter analyzes such interdependent IT security risks and provides insights for SC and IT managers who are poised to collaborate with other downstream or upstream partner firms.


Author(s):  
Tridib Bandyopadhyay

Managers often decide to integrate supply chains of collaborating firms. Whether such decisions are for competitive posture, cost saving or operational efficiencies, it is important to understand that supply chains integrate not only the flow of goods but also the information processes and assets and more often than not, the IT networks of the firms. Thus two developments occur. First, IT security losses of one firm collocate at the other firm's servers as information assets like demand forecasts are shared. Second, the Intranets of both firms get connected with the help of VPN or similar technologies, making it possible that a breach can travel from one firm to the other. This in turn makes IT security risks of SC firms strategically interdependent. This chapter analyzes such interdependent IT security risks and provides insights for SC and IT managers who are poised to collaborate with other downstream or upstream partner firms.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samsul Islam ◽  
Floris Goerlandt ◽  
Mohammad Jasim Uddin ◽  
Yangyan Shi ◽  
Noorul Shaiful Fitri Abdul Rahman

PurposeThis study aims to improve understanding of how coastal maritime transport system of Vancouver Island would be disrupted in disaster events, and the strategies could be used to address such risks. Any transport disruption at the maritime leg of the supply chain can affect the needs of vulnerable residents and thus, the supply of many goods to coastal communities.Design/methodology/approachThis case study focuses on the disruption that can be expected to occur for ferries that serves coastal communities of Vancouver Island in Canada. A landslide scenario in the Fraser River (which connects coastal communities) is developed, and interviews and focus groups are used to gain understanding of the vulnerability and resilience of shipping.FindingsThe findings show that the maritime leg of the supply chain for the coastal communities of Vancouver Island is resilient to a landslide disruption of ferries. Besides, there would be no impact on the operability of tugs and barges. This study also offers suggestions for creating the conditions for increasing resilience of maritime supply chains to any such disruption.Research limitations/implicationsA research gap exists with respect to minimizing disruption in maritime supply chains, mainly in regard to lessening the impact on the vulnerable residents of coastal communities. This study contributes to filling this gap in the literature.Practical implicationsThe findings have significant implications for maritime service providers and for people working on disaster preparedness, emergency response and recovery.Originality/valueStudies which focus on alleviating the impact of disruptions in the maritime supply chains and the mitigation strategies for coastal communities are scarce in the literature.


Author(s):  
Christian F. Durach ◽  
Patrick C. Glasen ◽  
Frank Straube

Purpose The purpose of this paper is to identify and rank supply chain disruption causes for Western buying firms in the Chinese market; to identify supplier-relationship-specific mitigation strategies to avoid and resist such disruptions; and to develop and propose a framework of relational supply chain disruption management with Chinese suppliers. Design/methodology/approach Two group exercises with 42 representatives from Western manufacturing buying firms and nine in-depth interviews were conducted. The group exercises applied the nominal group technique. Findings The authors identified and ranked 22 disruption causes in China for Western buying firms. Evaluating the five most urgent causes, 43 mitigation strategies could be identified that build on implementing strategic relationships with Chinese suppliers. A framework of relational supply chain disruption management for Western buying firms was developed with six propositions on primary constructs, mediators, and moderators, highlighting guanxi as a fundamental construct of relations within the Chinese culture. Research limitations/implications The findings contribute to theory development at the intersection of risk management and culture. Quantitative testing of the proposed relationships in the framework is needed to derive more reliable conclusions. Practical implications The study depicts how cultural differences between Chinese suppliers and Western buyers influence relational supply chain disruption management strategies. Using the study findings, managers of Western buying firms are informed regarding the most pressing disruption causes in the Chinese market and the value and strategic use of Chinese-supplier relationships. Originality/value The study provides a valuable contribution to the scant body of literature on disruption management in supply chains with Chinese suppliers. It contributes to our understanding of a successful risk management in the presence of cultural differences.


2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Öberg

Purpose Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain. Design/methodology/approach Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper. Findings The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption. Originality/value This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.


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