For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
95
views
155
references
 Top references
cited by
138
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      36
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: not found

      Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This study investigates the role of supply chain risk management (SCRM) in mitigating the effects of disruptions impacts on supply chain resilience and robustness in the context of COVID-19 outbreak. Using structural equation modeling on a survey data from 470 French firms, the results confirm the basic tenets of resource-based view and organizational information processing theories regarding the combination of dynamic resources to face disruptions’ uncertainty. Furthermore, the findings reveal the mediating role of SCRM practices and the prominent role they play in fostering supply chain resilience and robustness. Overall, by providing empirical assessment of a comprehensive SCRM framework, this research contributes to the extant literature and suggests further avenues for research.

          Related collections

          Most cited references155

          • Record: found
          • Abstract: found
          • Article: not found

          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Philip M Podsakoff, Scott MacKenzie, Jeong-Yeon Lee … (2003)
          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
          Article 0 comments Cited 9513 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            Franz Faul, Edgar Erdfelder, Axel Buchner … (2009)
            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
            Article 0 comments Cited 4889 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Firm Resources and Sustained Competitive Advantage

              Jay Barney (1991)
              Understanding sources of sustained competitive advantage has become a major area of research in strategic management. Building on the assumptions that strategic resources are heterogeneously distributed acrossfirms and that these differences are stable over time, this article examines the link betweenfirm resources and sustained competitive advantage. Four empirical indicators of the potential of firm resources to generate sustained competitive advantage-value, rareness, imitability, and substitutability-are discussed. The model is applied by analyzing the potential of severalfirm resourcesfor generating sustained competitive advantages. The article concludes by examining implications of this firm resource model of sustained competitive advantage for other business disciplines.
              Article 0 comments Cited 2817 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Prod Econ
                Journal ID (iso-abbrev): Int J Prod Econ
                Title: International Journal of Production Economics
                Publisher: Elsevier B.V.
                ISSN (Print): 0925-5273
                ISSN (Electronic): 1873-7579
                Publication date PMC-release: 31 October 2020
                Publication date (Print): March 2021
                Publication date (Electronic): 31 October 2020
                Volume: 233
                Page: 107972
                Affiliations
                [a ]Ibn Zohr University Agadir, ERETTLOG, Morocco
                [b ]KEDGE Business School, Domaine De Luminy, Rue Antoine Bourdelle, 13009, Marseille, France
                Author notes
                [∗ ]Corresponding author.
                Article
                Publisher Item ID: S0925-5273(20)30322-4 Publisher ID: 107972
                DOI: 10.1016/j.ijpe.2020.107972
                PMC ID: 9759337
                PubMed ID: 36567758
                SO-VID: 2716434d-639e-4bba-9123-15adb017c5e2
                Copyright © © 2020 Elsevier B.V. All rights reserved.
                License:

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Date received : 8 June 2020
                Date revision received : 22 October 2020
                Date accepted : 29 October 2020
                Categories
                Subject: Article

                Keywords: disruption impacts,supply chain risk management practices,supply chain robustness,supply chain resilience,covid-19,epidemic
                Data availability:
                Keywords: disruption impacts, supply chain risk management practices, supply chain robustness, supply chain resilience, covid-19, epidemic

                Comments

                Comment on this article

                scite_

                Similar content36

                See all similar

                Cited by136

                See all cited by

                Most referenced authors1,313

                See all reference authors