Supply Chain Innovation and Risk Assessment (SCIRA) Model

Klein-Schmeink, Stephan; Peisl, Thomas

doi:10.1007/978-3-642-32021-7_20

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…It has been debated whether innovation is an enhancer or a reducer of business risks (Klein-Schmeink and Peisl, 2013). SC innovation is a complex process to generate information processing and new logistics services by utilising technology innovation and process innovation in order to offer solutions for customer requirements and identify new ways to better processes (Lee et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the relationships between SC innovation, risk management capability and competitive advantage have not been revealed in an integrative manner. Notably, the examination of this link would provide worthwhile insights that can uncover the Klein-Schmeink and Peisl (2013) conceptual proposition that SC innovation might not only cause risks but also bring about opportunities. Besides, although Ageron et al (2013) presented innovative SC practices with an exploratory study, they called for further research of SC innovation consequences through the production of a more comprehensive framework.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains

Kwak¹,

Seo

Mason

2018

IJOPM

272

225

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Purpose-This study aims to propose and validate a theoretical model to investigate whether supply chain innovation positively affects risk management capabilities, such as robustness and resilience in global supply chain operations, and to examine how these capabilities may improve competitive advantage. Design/methodology/approach-A theoretical model was developed from extant studies and assessed through the development of a large-scale questionnaire survey conducted with South Korean manufacturers and logistics intermediaries involved in global supply chain operations. The data were analysed using confirmatory factor analysis (CFA) and structural equation modelling (SEM) to validate the suggested model. Findings-It was found that innovative supply chains have a discernible positive influence on all dimensions of risk management capability, which in turn has a significant impact on enhancing competitive advantage. Therefore, this work provides evidence for the importance of supply chain innovation and risk management capability in supporting competitive advantage. Research limitations/implications-This study contributes to providing an empirical understanding of the strategic retention of supply chain innovation and risk management capabilities in the supply chain management (SCM) discipline. Further, it confirms and expands existing theories about innovation and competitive advantage. Practical implications-The finding provides firm grounds for managerial decisions on investment in technology innovation and process innovation. Originality/value-This research is the first of its kind to empirically validate the relationships between supply chain innovation, risk management capabilities and competitive advantage.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains

Kwak¹,

Seo

Mason

2018

IJOPM

272

225

View full text Add to dashboard Cite

show abstract

“…Additionally, the strategies used for (re)configuring the sourcing during the disruption follow the strategy recommendations of Klein-Schmeink and Peisl (2013). In these strategies, processing with a network partner is based on the achievable capability of a required process and the partner's cooperation competence.…”

Section: Cross-case Analysismentioning

confidence: 99%

“…Therefore, the local supply source increased its robustness with a lower dependency on the global market and increased modes of intervention. Cases 2, 3 and 4 used a technicallyoriented approach in which AM served as a local supply alternative that decreased the dependency on the established traditional source of supply, which follows the strategies proposed by Caniëls and Gelderman (2005) for addressing bottleneck demands within the Kraljic matrix and the recommendations of Klein-Schmeink and Peisl (2013) to replace network partners. Nevertheless, in all cases, traditional supply sources were only temporarily diversified with AM to mitigate the organization's dependency on traditional supply sources, which led to vulnerability in the supply system.…”

Section: Cross-case Analysismentioning

confidence: 99%

Learning from supply disruptions caused by SARS-CoV-2: use of additive manufacturing as a resilient response for public procurement

Meyer

Glas

Eßig

2021

JOPP

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Purpose The SARS-CoV-2 pandemic has had severe effects on economies worldwide and, in particular, on public institutions that must keep their operations running while supply chains are interrupted. The purpose of this study is to examine how public institutions act during a pandemic to ensure the security of supply. Design/methodology/approach The distinct focus is if, why and how public institutions have adopted additive manufacturing (AM) – a production technology colloquially known as three-dimensional printing in which a product is created by joining raw material layer by layer based on a digital model (computer-aided design [CAD] file) of the product – in reaction to supply disruptions caused by the SARS-CoV-2 pandemic. For this purpose, four cases within the context of the pandemic supply disruption are used as the units of analysis. Findings The findings are twofold: public institutions reacted, on the one hand, with a behavioral solution approach, trying to solve the supply disruption with new or changed forms of cooperation and collaboration. On the other hand, public institutions used a technical solution approach (TSA) as a supply disruption response and intensified their use of AM. Research limitations/implications This research derives an implications model that focuses on the TSA. Considering the ex ante and ex post phases of the disruption, several effects of AM on resilience are identified. The most relevant is the long-term learning effect (i.e. AM data created during this disruption might also help in a new disruption). Practical implications Practitioners who act under extreme pressure and uncertainty are informed by cases that have managed to close bottleneck situations with either a behavioral or TSA. Specific strategies are given for how public buyers could use AM within a pandemic situation to mitigate supply bottlenecks, such as increasing their robustness by localizing sourcing and increasing agility by combining traditional and additive supply sources. Additionally, insights are provided into how public organizations can increase their level of preparedness by including disruption paragraphs, establishing CAD databases, in contract clauses and keeping reserve contracts with AM service providers. Originality/value This research contrasts behavioral and technical solution concepts for a pandemic in the public sector. Thus, it provides insights into the relative benefits of AM and causes and effect with regard to how AM affects supply robustness and agility.

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“…The advantages of collaboration in the supply chain include saving costs, increasing capacity and flexibility, better decision making, increasing revenue through resource synergies, and innovation in exchanging ideas (Hansen & Nohria, 2004). In addition to collaboration, innovation serves as an addition or reduction of risk in business (Klein-Schmeink & Peisl, 2013;Kwak, Seo, & Mason, 2018).…”

Section: Introductionmentioning

confidence: 99%

Multigroup Analysis in Supply Chain Performance

Mulyati¹

2020

jbm

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This study aims to examine differences in private and government third-party logistics companies in Indonesia in terms of improving supply chain performance. In this research, supply chain performance testing is influenced by collaboration, radical innovation, and incremental innovation. The sample used is the third-party logistics industry in West Java and DKI Jakarta, totaling 100, which is divided into private third-party logistic companies and government-owned third-party logistics companies. The results showed that there are differences in the effects of collaboration. There is supply chain performance where there are differences in the influence of collaboration and radical innovation on supply chain performance between private companies and government. There is no difference in the influence of collaboration and incremental innovation on supply chain performance between private companies and the government. The findings of this study indicate that radical and incremental innovation acts as a partial mediation on the effect of collaboration on supply chain performance in private and government companies.

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Supply Chain Innovation and Risk Assessment (SCIRA) Model

Cited by 5 publications

References 8 publications

Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains

Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains

Learning from supply disruptions caused by SARS-CoV-2: use of additive manufacturing as a resilient response for public procurement

Multigroup Analysis in Supply Chain Performance

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