An integrated framework for the assessment of inbound supply risk and prioritization of the risk drivers

2019 ◽  
Vol 27 (3) ◽  
pp. 1261-1286 ◽  
Author(s):  
Ramesh K.T. ◽  
Sarada P. Sarmah ◽  
Pradeep Kumar Tarei

Purpose The purpose of this paper is to present a framework for identifying various inbound supply-risk factors and analyzing its indicators considering the contextual relationship between them. This study additionally proposes a framework for developing an overall inbound supply-risk score considering a real-life case of the electronics supply chain (ESC) in the Indian context. Design/methodology/approach In total, 32 risk indicators are identified by a systematic literature review approach and are validated by supply chain practitioners/experts and further categorized into six main risk factors. A hybrid multi-criteria decision-making-based DANP (DEMATEL and ANP) framework is employed to develop the overall inbound-supply-risk score (ISRS) and to prioritize the risk indicators. Indian ESC is chosen as a viable case study to demonstrate the effectiveness of the proposed framework. Findings The outcomes from the study reveal that the overall ISRS in the ESC is 36 percent and additionally forewarns critical inbound-supply-risk factors such as supplier performance, product, and buyer organization. Further, the study also identifies the most significant risk indicators such as price margin, investment, on-time delivery, order fulfillment and design changes for ESC. Research limitations/implications Supply chain practitioners can adopt this framework as a useful inbound supply-risk assessment tool. Moreover, the hybrid framework will address subjectivity and interrelations among various factors through experts’ judgments. The results will assist the managers to have better insights on the critical risk factors and their complicated interrelationships and further strategize action plans to nullify the impact of incoming risks. This study mainly focused on risk identification and assessment of electronics inbound-supply-risk indicators in the Indian context. The framework can be used for other manufacturing and service industries, albeit the results derived are in the context of a developing country. Originality/value This paper provides an effective risk assessment framework for the supply chain practitioners/managers to develop a decision-support system for inbound-supply-risk quantification and prioritization of risk factors in the context of the ESC.

2017 ◽  
Vol 37 (10) ◽  
pp. 1386-1407 ◽  
Author(s):  
Asad Shafiq ◽  
P. Fraser Johnson ◽  
Robert D. Klassen ◽  
Amrou Awaysheh

Purpose Firms are increasingly being pressured by the public, regulators and customers to ensure that their suppliers behave in a socially and ecologically sound manner. Yet, the complexity and risks embedded in many supply chains makes this challenging, with monitoring practices offering one means to attenuate supply sustainability risk. Drawing on agency theory, the purpose of this paper is to examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance. Design/methodology/approach This research uses data from a survey and archival sources from a sample of large US firms to empirically examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance. Findings Findings indicate that higher levels of perceived sustainability risk is related to greater monitoring of supplier sustainability practices by focal firms. Perceptions of higher operations risk are indirectly related to greater social monitoring through investment in supply improvement initiatives. Monitoring of supplier sustainability practices is also found to have a positive effect on focal firm performance. Practical implications Findings suggest that managers process operations risks and sustainability risks independently. Greater sustainability risk leads to increased sustainability monitoring, while greater operations risk leads to increased investment in supply improvement initiatives, which in turn leads to increased social monitoring. The research also indicates that behavior-oriented approaches, such as monitoring of supplier environmental and social practices, are an effective approach to improving firm sustainability performance. However, due to resource constraints, a challenge for supply chain managers is where and when to invest in behavior-oriented approaches for suppliers. Originality/value This research advances supply risk literature by exploring the effects of supply sustainability risk on the use of monitoring practices to manage supplier environmental and social behavior. Using a combination of survey and archival data to independently assess the implications of sustainability monitoring practices on firm sustainability performance, this study provides a methodology for evaluating the impact of sustainability monitoring practices on the triple bottom line in supply chain management.


2016 ◽  
Vol 29 (2) ◽  
pp. 238-254 ◽  
Author(s):  
Satyendra Sharma ◽  
Srikanta Routroy

Purpose – Information sharing enhances the supply chain profitability significantly, but it may result in adverse impacts also (e.g. leakages of secret information to competitors, sharing of wrong information that result into losses). So, it is important to understand the various risk factors that lead to distortion in information sharing and results in negative consequences. Information risk identification and assessment in supply chain would help in choosing right mitigation strategies. The purpose of this paper is to identify various information risks that could impact a supply chain, and develop a conceptual framework to quantify them. Design/methodology/approach – Bayesian belief network (BBN) modeling will be used to provide a framework for information risk analysis in a supply chain. Bayesian methodology provides the reasoning in causal relationship among various risk factors and incorporates both objective and subjective data. Findings – This paper presents a causal relationship among various information risks in a supply chain. Three important risk factors, namely, information security, information leakages and reluctance toward information sharing showed influence on a company’s revenue. Practical implications – Capability of Bayesian networks while modeling in uncertain conditions, provides a prefect platform for analyzing the risk factors. BBN provides a more robust method for studying the impact or predicting various risk factors. Originality/value – The major contribution of this paper is to develop a quantitative model for information risks in supply chain. This model can be updated when a new data arrives.


2013 ◽  
Vol 20 (1) ◽  
pp. 129-146 ◽  
Author(s):  
Kunal K. Ganguly ◽  
Kalyan K. Guin

PurposeThe purpose of this paper is to provide a methodology for assessing supply risk for a product category. The fuzzy based analytic hierarchy process (Fuzzy AHP) has been used for the purpose. The technique is used to determine the supply related risk and its potential impact on the buyer organization.Design/methodology/approachThe research uses case analysis approach to understand the supply related risks and then applying fuzzy AHP for prioritization of the same.FindingsThe result of the case example indicates that the suggested approach of fuzzy AHP methodology seems feasible for risk assessment in supply chain management as it allows the personnel to express their judgments regarding the importance of each type of risk elements and evaluate the situation from their own perspective and then have this input coordinated in a quantitative fashion.Practical implicationsSupply chain managers can use this research as a base for developing risk assessment tool. The result can help as a benchmarking tool for the supply management professionals. By having a better understanding of which element has the greatest effect on risk, they can focus their attention on reducing the chance that risk can have on their organizations success and profitability.Originality/valueThis paper provides practitioners with a methodology for analyzing supply side risk as an objective of creating customer value by delivering perfect order.


2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.


2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Palmieri ◽  
S Vannucchi ◽  
C Lo Noce ◽  
A Di Lonardo ◽  
B Unim ◽  
...  

Abstract Background Italian National Prevention Plan 2005-08 included 10-year cardiovascular risk assessment (10-CR) for the general population aged 35-69 years using the CUORE Project risk score. GPs were encouraged to perform 10-CR and send data to the Cardiovascular Risk Observatory (CRO). Aim To show updated data of the ongoing surveillance system of the 10-CR in the Italian adult population. Methods Data were collected using the cuore.exe software, freely downloadable by GPs from the CUORE Project website (www.cuore.iss.it). The CRO provides a web-platform to compare data on 10-CR and risk factors at regional/national level. For persons examined at least twice, variations in risk factors from baseline to follow-up and 95% confidence intervals (C.I.) were calculated using methods for matched pair samples. Results Up to February 2019, about 3,500 GPs downloaded cuore.exe; about 300,000 CR assessments on about 140,000 persons were sent to CRO. Mean CR was 3.1% in women (W), 8.5% in men (M); 28% of M, 64% of W were at low risk (CR &lt; 3%); 9.9% of M, 0.4% of W were at high risk (CR ≥ 20%); 26% of M, 16% of W were current smokers; 13% of M, 10% of W were diabetic; 33% of hypertensive M, 35% of hypertensive W were under specific treatment. Among those with at least two risk assessments (31% of the sample), 11% shifted to a lower risk class after one year (14% of M, 7% of W). Systolic blood pressure mean levels decreased by 0.6 mmHg (95%-C.I. 0.3-0.8 mmHg), diastolic blood pressure by 0.5 mmHg (0.2-0.7 mmHg), total cholesterol by 4.1 mg/dl (3.0-5.2 mg/dl), smokers prevalence by 3.1% (2.3%-4.0%); HDL-cholesterol increased in W by 0.3 mg/dl (0.1-0.5 mg/dl). Conclusions Data demonstrate that 10-CR assessment can be an effective first step to implement preventive actions in primary care. Individual risk score is a useful tool for GPs to assess CR and promote primary prevention focusing on the adoption of healthy lifestyles. Data can be used to support health policy decision process. Key messages The cuore.exe software, freely downloadable from the CUORE Project website-www.cuore.iss.it, allows GPs to assess the CUORE Project risk score, to collect and to send data to the CVD Risk Observatory. 10 year Cardiovascular Risk assessment in the general adult population can be an effective first step to implement preventive actions in primary care.


2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.


2017 ◽  
Vol 32 (7) ◽  
pp. 913-924 ◽  
Author(s):  
Jeen-Su Lim ◽  
William K. Darley ◽  
David Marion

Purpose The study aims to explore supply chain influence (SCI) on the linkages among market orientation, innovation capabilities and firm performance (FP), using the resource-based view as a theoretical backdrop. Design Survey data from 182 top managers who are involved in strategy formulation and innovative direction of their companies was collected and analyzed using moderated multiple regression analysis. Findings Results revealed a moderating role of the SCI in that the proactive market orientation (PMO) and FP relationship is stronger when SCI is high, and innovation commercialization capability (ICC) and FP relationship is stronger when SCI is low. Practical implications Firms pursuing high PMO strategy must collaborate with supply chain function to achieve the full effect of PMO. Additionally, as supply chain is critical to meeting customers’ needs, these firms should allow supply chain to exert greater influence to enjoy the positive effects of PMO in addition to ensuring full integration into marketing strategy implementation. Also, firms with high ICC need to limit SCI to maximize the benefit of ICC on FP, just as innovation management needs to be cognizant of other functional areas. Originality/value The study investigates the potential moderating role of SCI on the relationships among market orientation, ICC and FP. The study fills a gap in the understanding of the nature and role of supply chain in the marketing–supply chain interaction, and the impact on FP.


2016 ◽  
Vol 27 (5) ◽  
pp. 474-490 ◽  
Author(s):  
Abderrahmane Bouda ◽  
Nour El Islam Bachari ◽  
Lylia Bahmed ◽  
Ryad Boubenia

Purpose – Ballast water of merchant ship is a source of introduction of invasive species around the globe. The purpose of this paper is to present a quantitative risk assessment applied to a model port, the Port of Arzew in Algeria, and based on an analysis of this port’s shipping traffic. Design/methodology/approach – The risk assessment for introduction of invasive species is interpreted in the form of a probabilistic process, with a combination of two probabilities. The first probability is related to the ability of a species to arrive to the destination (recipient port), depending on the quantity of water ballast discharged and the duration of voyage. The second one is based on the species ability to survive in their new environment, which depends on the environmental similarity between donor port and Arzew port. Findings – This assessment’s outcome consists on a classification of scenarios regarding their acceptability. Consequently, it helped to classify donor ports according to a risk scale, from low risk to high-risk donor ports. Research limitations/implications – The phenomenon of invasion of aquatic species is a complex process. Factors such as adaptation and tolerance of species, the attendance or absence of predators, were not taken into account in this study. Practical implications – This study could be used by the maritime administration as a decision-making tool regarding the issue of exemptions under the IMO International Convention on the Management of Ballast Water and Sediments 2004. Originality/value – This is one of the first known studies in Algeria and dealing with ballast water management. The results of this assessment provide useful information to policy makers, in order to develop a national strategy to reduce the impact of shipping pollution on the marine environment.


2017 ◽  
Vol 23 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Charles Teye Amoatey ◽  
Samuel Famiyeh ◽  
Peter Andoh

Purpose The purpose of this paper is to assess the critical risk factors affecting mining projects in Ghana. Design/methodology/approach A purposive sampling approach was used in selecting the respondents for the study. These were practitioners working on mining projects in Ghana. Findings The study identified 22 risk factors contributing to mining project failure in Ghana. The five most critical mining project risk factors based on both probability of occurrence and impact were unstable commodity prices, inflation/exchange rate, land degradation, high cost of living and government bureaucracy for obtaining licenses. Mitigation measures for addressing the identified risk factors were identified. Research limitations/implications This paper is limited to data collected from practitioners working on mining projects. Due to geographic and logistical constraints, the study did not include the perception of local communities in quantifying the risk factors. Practical implications This paper has documented the critical risk factor affecting the mining industry in Ghana. Though the identified risk types are also prevalent in other sectors of the construction industry, the key findings of this paper emphasize the need for a comprehensive risk management culture in the mining sector. From an academic research perspective, the paper contributes to a conceptual risk assessment framework. Originality/value The information gathered through this research can be utilized in identifying and understanding risks during the early stages of mining project implementation.


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