Building supply chain risk resilience

2019 ◽  
Vol 26 (7) ◽  
pp. 2318-2342 ◽  
Author(s):  
Nitya Prasad Singh ◽  
Shubham Singh
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Negative Impact ◽  
Equation Modeling ◽  
Business Risk ◽  
Supply Chain Risk ◽  
Supply Chain Disruption ◽  
Content Type ◽  
Institutional Experience ◽  
The Impact

Purpose The purpose of this paper is to examine how firms can develop business risk resilience from supply chain disruption events, by developing big data analytics (BDA) capabilities within their organization. The authors test whether BDA mediates the impact of institutional response to supply chain disruption events, and information technology infrastructure capabilities (ITICs), on firm’s ability to develop risk resilience from supply chain disruption events. Design/methodology/approach The study is based on survey data collected from 225 firms, spread across several sectors in the USA and Europe. The respondents are primarily senior and middle management professionals who have experience within the information technology (IT) and supply chain domain. Validity and reliability analyses were performed using SPSS and AMOS; and covariance-based structural equation modeling was used to test the hypothesis. Findings The analysis reveals two significant findings. First, the authors observe that institutional experience with managing supply chain disruption events has a negative impact on firm’s ability to develop business risk resilience. However, if the organizations adopt BDA capabilities, it enables them to effectively utilize resident firm knowledge and develop supply chain risk resilience capacity. The results further suggest that BDA positively adds to an organization’s existing IT capabilities. The analysis shows that BDA mediates the impact of ITIC on the organization’s ability to develop risk resilience to supply chain disruption events. Originality/value This study is one of the few works that empirically validate the important role that BDA capabilities play in enabling firms develop business risk resilience from supply chain disruption events. The study further provides a counterpoint to the existing perspective within the supply chain risk management literature that institutional experience of managing past supply chain disruption events prepares the organization to deal with future disruption events. This paper adds to our understanding of how, by adopting BDA capabilities, firms can develop supply chain risk resilience from disruption events.

Understanding the influence of lean and agile strategies on creating firms’ supply chain risk management capabilities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqar Ahmed ◽  
Muhammad Zaki Rashdi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Empirical Evidence ◽  
Internal Control ◽  
Market Condition ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type ◽  
Management Capabilities ◽  
The Impact

Purpose Lean and agile strategies are two basic supply chain paradigms that strategist decouples based on their internal and external environment. This study aims to identify the influence of market orientation (MO) and quality management (QM) deployment on the supply chain strategies. Furthermore, this study also seeks empirical evidence of the impact of these core strategies on creating risk management capabilities. Design/methodology/approach Quantitative research technique is deployed to explain the phenomenon. The data was gathered through a structured scale questionnaire from supply chain professionals working at different manufacturing firms. Valid data of 134 respondents is then analyzed through partial least squares structural equation modeling for further empirical understanding. Findings The outcome of the research indicates that MO capability; as an external drive is a key to make an operational strategy. QM as an internal control is more prone to formulating a lean strategy (LS). Another important finding is that LS does not complement risk management capabilities especially in an uncertain market condition. Practical implications The study suggested concrete implications for risk management through the right mix of lean and agile supply chain strategies. There are some good insights for the supply chain policy-makers working in a developing country. Originality/value This study will provide empirical evidence for managing supply chain risk through an effective strategy making.

Examining the role of stakeholder pressure and knowledge management on supply chain risk and demand responsiveness

2014 ◽  
Vol 25 (1) ◽  
pp. 202-223 ◽  
Author(s):  
David E. Cantor ◽  
Jennifer Blackhurst ◽  
Mengyang Pan ◽  
Mike Crum
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Risk Mitigation ◽  
Equation Modeling ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to contribute to the supply chain risk management literature by examining how stakeholders place pressure on the firm to engage in risk management activities. Design/methodology/approach – This paper utilizes a survey approach to test the nomological model. The analysis was carried out using structural equation modeling techniques. Findings – The results demonstrate that stakeholders place pressure on the firm to mitigate risk and that knowledge management (KM) and joint planning activities with suppliers serve as mediating roles in the model. The process-oriented model reveals that these factors influence the firm's ability to be responsive to customer demand. Originality/value – The research represents one of the first papers to empirically test how stakeholder theory and KM contributes to risk mitigation activities. Additionally, the paper shows the impact of KM factors on risk mitigation activities. The paper attempts to explain from both a theoretical and empirical perspective how and why firms are engaging in risk mitigation activities and how the impacts demand responsiveness.

The impact of counterfeit risk management on healthcare supply chain performance: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mauro Falasca ◽  
Scott Dellana ◽  
William J. Rowe ◽  
John F. Kros
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
The United States ◽  
Equation Modeling ◽  
Significant Positive Effect ◽  
Healthcare Organizations ◽  
Content Type ◽  
Overall Performance ◽  
The Impact ◽  
Positive Effect

PurposeThis study develops and tests a model exploring the relationship between supply chain (SC) counterfeit risk management and performance in the healthcare supply chain (HCSC).Design/methodology/approachIn the proposed theoretical model, HCSC counterfeit risk management is characterized by HCSC counterfeit risk orientation (HCRO), HCSC counterfeit risk mitigation (HCRM) and HCSC risk management integration (HRMI), while performance is represented by healthcare logistics performance (HLP) and healthcare organization overall performance (HOP). Partial least squares structural equation modeling (PLS-SEM) and survey data from 55 HCSC managers are used to test the research hypotheses.FindingsHCRO has a significant positive effect on HCRM, while HCRM has a positive impact on HRMI. With respect to HLP, HCRM has a nonsignificant effect, while HRMI has a significant impact, thus confirming the important mediating role of HRMI. Finally, HLP has a significant positive effect on the overall performance of healthcare organizations.Research limitations/implicationsAll study participants were from the United States, limiting the generalizability of the study findings to different countries or regions. The sample size employed in the study did not allow the authors to distinguish among the different types of healthcare organizations.Originality/valueThis study delineates between a healthcare organization's philosophy toward counterfeiting risks vs actions taken to eliminate or reduce the impact of counterfeiting on the HCSC. By offering firm-level guidance for managers, this study informs healthcare organizations about addressing the challenge of counterfeiting in the HCSC.

Impact of Information Technology Risks on Information Systems Security: A Field Study of Telecommunication Companies in Yemen

2021 ◽  
Vol 27 (1) ◽  
pp. 125-157
Author(s):  
Mohammed A. Alrubaidi ◽  
Nabil Hassan Abdo Al-Hemyari
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Systems Security ◽  
Telecommunication Companies ◽  
Information And Communication ◽  
Study Population ◽  
The Impact

This study aimed to assess the impact of information technology risks on security of information systems by following an analytical method based on the structural equation modeling (SEM). The study population was seven telecommunication companies in Yemen. A questionnaire was distributed to 356 participants, but only 218 forms were valid for analysis. The data was analyzed by the partial least squares (PLS). The study findings revealed that information technology risks had a negative impact on the security of information systems. The study recommended that the security of information systems should be strengthened so as to maintain the confidentiality of information, its availability and safety from risks, and to cope with speedy developments in information and communication technology.

scholarly journals Complexity and the triple bottom line: an information-processing perspective

2017 ◽  
Vol 37 (9) ◽  
pp. 1142-1163 ◽  
Author(s):  
Frank Wiengarten ◽  
Muhammad Usman Ahmed ◽  
Annachiara Longoni ◽  
Mark Pagell ◽  
Brian Fynes
Keyword(s):  
Information Processing ◽  
Financial Performance ◽  
Structural Equation ◽  
Negative Impact ◽  
Triple Bottom Line ◽  
Structural Equations ◽  
Equation Modeling ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses. The authors used structural equation modeling to test the measurement and initial structural model. Furthermore, to test the proposed moderating hypotheses, the authors applied the latent moderated structural equations approach. Findings The results indicate that while complexity has a negative impact on environmental and social performance, it does not significantly affect financial performance. Furthermore, this negative impact can be reduced, to some extent, through connectivity; however, shared schema does not significantly impact on the complexity-performance relationship. Originality/value This study presents a comprehensive analysis of the impact of complexity on sustainability. Furthermore, it provides managerial applications as it proposes specific tools to deal with the potential negative influences of complexity.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

How does information integration enhance SMEs’ credit quality: the mediating role of supply chain capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaqin Yuan ◽  
Linlin Liu ◽  
Liu Liu
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Theoretical Model ◽  
Information Sharing ◽  
Information Integration ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Content Type ◽  
Credit Quality

PurposeThis paper aims to investigate the relationship between information integration, supply chain capabilities and credit quality of small and middle enterprises (SMEs) in supply chain finance (SCF).Design/methodology/approachGrounded in the resource-based view (RBV) and signaling theory, this study proposes a theoretical model. Then, structural equation modeling and interview analysis are employed to test the theoretical model.FindingsThe results show that both two aspects of information integration, namely, information technology and information sharing, have positive effects on the SMEs’ credit quality in SCF, and these effects are mediated by supply chain capabilities.Originality/valueFirst, the paper contributes to SCF literature by simultaneously examining the role of two dimensions of information integration (information technology and information sharing) in enhancing SMEs’ credit quality. Second, this paper enriches the existing theoretical research on SCF by integrating the SMEs perspective and SCF service provider perspective. Moreover, this paper explores the indirect effects of information integration on SMEs’ credit quality by incorporating supply chain capabilities as a mediating factor.

Managing Supply Chain Risks

2010 ◽  
pp. 28-48 ◽  
Author(s):  
Brian Squire
Keyword(s):  
Supply Chain ◽  
Risk Identification ◽  
Extended Enterprise ◽  
Supply Chain Risk ◽  
Complete Understanding ◽  
Supply Chain Disruption ◽  
Network Measures ◽  
Formal Network ◽  
Supply Chain Risks ◽  
The Impact

This chapter takes an exploratory look at the use of formal network measures to further understanding of the sources of extended enterprise or supply chain risk. It attempts to show that network measures can provide additional insight to ‘uncover’ sources of risk that could remain hidden using ‘traditional’ measures alone. More specifically, network measures of criticality, centrality, redundancy, distance and topology are combined with traditional measures of criticality, organisational slack, global sourcing and outsourcing to develop a more complete understanding on the determinants of the impact and/or probability of supply chain disruption. The measures identified provide researchers and managers with a wide-ranging framework for risk identification.

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