Publikationen

Autor*in

Jahr der Veröffentlichung

Publikationsformat

Keyword

Forschungsprojekt

Institut/Einrichtung

2019

Impacts of stakeholder influences and dynamic capabilities on the sustainability performance of supply chains: a system dynamics model

Rebs, T. ., Thiel, D. ., Brandenburg, M. ., & Seuring, S. . (2019). Impacts of stakeholder influences and dynamic capabilities on the sustainability performance of supply chains: a system dynamics model. Journal of Business Economics, 89, 893–926. http://doi.org/10.1007/s11573-019-00940- (Original work published 2024)

Abstract

Dynamic capabilities (DCs) are crucial for companies to attain competitive advantage in dynamic business environments and supply chains, where environmental and social aspects are considered by sustainable supply chain management (SSCM). However, the effects of stakeholder influences on SSCM performance, which results from the interplay of DCs and SSCM practices, need to be analyzed. Therefore, a system dynamics (SD) model is proposed to include the influences of governmental, shareholder, and other external stakeholder pressure. The system behavior, i.e., the company’s SSCM performance, can thus be analyzed in face of varying time delays of stakeholder influences. Findings indicate that different intensities of stakeholder influences affect the development of SSCM practices and DCs of a focal company, and thus, overall SSCM performance. Consequently, intensities of stakeholder influences should be managed accordingly, while the impact of time delays has to be understood to control SSCM performance. The insights gained from the model support the decision- and policy-making, which can be considered from the perspective of the focal company, the regulatory authorities, the shareholders, and other external stakeholders that ultimately translate into customer pressure.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Brandenburg, Marcus
Filter Tags
2019

Journal Article

Tobias Rebs

Daniel Thiel

Marcus Brandenburg

Stefan Seuring

Sustainable supply chain management

Stakeholder influences

Dynamic capabilities

Practices

System
System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach

Rebs, T. ., Brandenburg, M. ., & Seuring, S. . (2019). System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach. Journal of Cleaner Production, 208, 1265–1280. http://doi.org/10.1016/j.jclepro.2018.10.100

Abstract

Globalized economic systems involve complex supply chains (SCs) where environmental and social impacts are to be managed in alignment with diverse stakeholder expectations and to mitigate sustainability-related risks. Quantitative modeling approaches for sustainable supply chain management (SSCM) have gained increasing attention. Compared to analytical models and mathematical programming, simulation methods in SSCM are underrepresented, although system dynamics (SD) modeling is suitable to simulate and examine complex and dynamic systems and to support long-term, strategic decision-making. This paper provides a review of SSCM-related SD models, systematizes SSCM from a systems thinking perspective in a conceptual framework, and proposes guidelines for SD modeling in SSCM research. A content analysis of related literature examines SD models for forward, reverse, and closed-loop SCs that include environmental or social aspects of sustainability. It is found that a majority of models deals with macroscopic levels of analysis while models for intra- and inter-organizational SCs are less prominent. SSCM-related SD models integrate environmental and social sustainability metrics, governmental pressures and incentives or customer expectations, but uncertainties and risks are seldom modeled. Inferences for future SD modeling in SSCM are derived from this review to address strengths and shortcomings of extant SD modeling approaches for SSCM. SSCM-related constructs, model validation and the need of hybrid models, which integrate different simulation, optimization, or multi-criteria decision-making models, are addressed. A framework for a systems thinking perspective on SSCM is conceptualized that may serve as a basis for future research.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Brandenburg, Marcus
Filter Tags
2019

Journal Article

Tobias Rebs

Marcus Brandenburg

Stefan Seuring

Sustainable supply chain management

System dynamics

Literature review

Conceptual framework

Stakeholder influences

Risk management

2018

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Rebs, T. ., Brandenburg, M. ., Seuring, S. ., & Stohler, M. . (2018). Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies, 11(2), 197–237. http://doi.org/10.1007/s40685-017-0056-9

Abstract

Stakeholder influences on sustainable supply chain management (SSCM) are of increasing interest for researchers to take into account economic, environmental, and social risks. While extant literature on stakeholder influences or risks in SSCM concentrates on selected issues, a comprehensive review of both stakeholder and risk constructs is missing. Hence, this paper examines stakeholder influences and risks in SSCM, as addressed by conceptual frameworks, empirical studies, and formal models to shed light on the trends and gaps in qualitative and quantitative SSCM research. Based on a content analysis of systematically selected journal publications, the commonalities and differences between the research designs are identified. The findings suggest that the integration of economic risks prevails over the consideration of environmental and social risks. Qualitative studies frequently focus on customers or multiple stakeholders that trigger SSCM and relate to supply, demand, and particularly reputational risks. In contrast, quantitative models rather concentrate on formalizing governmental triggers and operational risks. Thus, mutual stimuli between conceptual, empirical, and model-based SSCM research and their implications for future research directions are derived.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Brandenburg, Marcus
Filter Tags
2018

Journal Article

Tobias Rebs

Marcus Brandenburg

Stefan Seuring

Margarita Stohler

2015

Sustainable supply chain management: a modeling perspective

Brandenburg, M. ., & Rebs, T. . (2015). Sustainable supply chain management: a modeling perspective, 229(1), 213–252. http://doi.org/10.1007/s10479-015-1853-1

Abstract

Nowadays, the integration of sustainability into supply chain management (SCM) is a key issue for ensuring corporate competitiveness in face of dynamic ecological and social environments. This paper reviews 185 journal publications of the last 20 years that formalize issues related to sustainable supply chain management (SSCM) in quantitative models. In a content analysis, modeling and SCM characteristics as well as sustainability and SSCM constructs are elaborated. The models are assessed numerically by counting frequencies of occurrence and by clustering the paper sample according to selected characteristics. The findings indicate that SSCM models predominantly focus on deterministic approaches and the integration of environmental aspects of sustainability while neglecting stochastic modeling techniques and the consideration of social factors. By now, comprehensive modeling approaches are most often employed on intra-organizational levels whereas broader application areas are assessed by less complex models. The integration of pressures and incentives of external stakeholders or the formalization of sustainable supplier management and sustainability risks are identified as future research perspectives. Furthermore, the interrelationships between the triple bottom line dimensions are to be scrutinized in greater detail in order to avoid focused optimization of selected sustainability criteria. Seven modeling guidelines are derived from the reviewed literature to facilitate future model-based SSCM research.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Brandenburg, Marcus
Filter Tags
2015

Journal Article

Marcus Brandenburg

Tobias Rebs

Publikationen

2019

Impacts of stakeholder influences and dynamic capabilities on the sustainability performance of supply chains: a system dynamics model

Abstract

Exportformate

Weiterführende Links

Filter Tags

System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach

Abstract

Exportformate

Weiterführende Links

Filter Tags

2018

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Abstract

Exportformate

Weiterführende Links

Filter Tags

2015

Sustainable supply chain management: a modeling perspective

Abstract

Exportformate

Weiterführende Links

Filter Tags