The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Does firm innovativeness enable effective responses to supply chain disruptions? An empirical study
Abstract
Purpose: – The purpose of this paper is to investigate the nexus of relationships linking firm innovativeness, innovation magnitude, disruption severity, and supply chain resilience. These relationships are examined within a supply chain disruptions context. Design/methodology/approach: – This study employed between subjects scenario-based experimental methodology combined with a survey method. Participants in the study were senior level logistics/supply chain and operations managers in US and European manufacturing companies. The hypotheses were tested via linear regression models. Findings: – Findings suggest that both firm innovativeness and innovation magnitude are positively associated with supply chain resilience. In addition, it was found that disruption severity is positively associated with innovation magnitude. Research limitations/implications: – Based on the findings, the authors expect that firm innovativeness as a dynamic capability should have a positive impact on achieving supply chain resilience. The more severe the disruption faced, the higher the magnitude of innovation adopted by firms. Therefore, firm innovativeness and innovation magnitude work in tandem to positively influence supply chain resilience. Originality/value: – This paper contributes to the supply chain risk management literature by enhancing the understanding of both positive outcomes of firm innovativeness and drivers of supply chain resilience. It responds to the question, “What enables firms to respond effectively to supply chain disruptions?” from an innovation perspective that has been ignored in the previous literature.
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Cites
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A Paradigm for Developing Better Measures of Marketing Constructs
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Garcia, R., & Calantone, R. (2002) · Journal of Product Innovation Management · doi:10.1111/1540-5885.1920110 · Cited by 3,470
Resilience and Sustainable Development: Building Adaptive Capacity in a World of Transformations
Folke, C., Carpenter, S., Elmqvist, T., Gunderson, L., Holling, C. S., & Walker, B. (2002) · AMBIO: A Journal of the Human Environment · doi:10.1579/0044-7447-31.5.437 · Cited by 3,136
Innovativeness: Its antecedents and impact on business performance
Hult, G. T. M., Hurley, R. F., & Knight, G. A. (2004) · Industrial Marketing Management · doi:10.1016/j.indmarman.2003.08.015 · Cited by 2,053
Dynamic Capabilities: A Review of Past Research and an Agenda for the Future
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Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Cited by
Schilke, O., Hu, S., & Helfat, C. E. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0014 · Cited by 1,226
Resilience and entrepreneurship: a systematic literature review
Korber, S., & McNaughton, R. B. (2018) · International Journal of Entrepreneurial Behavior & Research · doi:10.1108/ijebr-10-2016-0356 · Cited by 533
Supply chain resilience: a systematic literature review and typological framework
Kochan, C. G., & Nowicki, D. R. (2018) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-02-2017-0099 · Cited by 319
Metadata
- Authors
- Golgeci, I., & Y. Ponomarov, S.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2013-09-23
- Volume
- 18
- Issue
- 6
- Pages
- 604-617
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W2035853172
- Cited by
- 272
- References
- 10
- FWCI
- 22.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Golgeci, I., & Y. Ponomarov, S. (2013). Does firm innovativeness enable effective responses to supply chain disruptions? An empirical study. Supply Chain Management: An International Journal. https://doi.org/10.1108/scm-10-2012-0331
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.