Mapping Logistics Services in Sustainable Production and Consumption Systems: What Are the Necessary Dynamic Capabilities?

Gruchmann, Tim; Torre, Gustavo De La; Krumme, Klaus

doi:10.1007/978-3-319-93212-5_12

Cited by 1 publication

(1 citation statement)

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“…A simple option to implement SD is the development of a causal loops diagram (CLD), which represents the general picture of a complex system. For instance, Gruchmann et al [72] applied participatory systems mapping to fill knowledge gaps for required DCs in SSCM. Answering the question of how logistics service providers can contribute to creating more sustainable production and consumption systems, the authors built a CLD within several workshops describing relevant variables and their causal relations with each other.…”

Section: Decisions Areamentioning

confidence: 99%

Sustainable Supply Chain Management—A Conceptual Framework and Future Research Perspectives

2019

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Sustainable operations and sustainable supply chain management (SSCM) have become a highly relevant topic for scientific research and management, as well as policy-making practice. Despite surging growth in extant research, the need for theoretical and conceptual substantiation persists, and large opportunities for further research remain unexploited. This paper responds to the need for a conceptual foundation and, therefore, aims at providing a structured agenda for future research areas in SSCM. Based on an abductive reasoning approach, SSCM constructs and concepts are gathered from existing literature and recombined into a comprehensive conceptual SSCM framework. Areas and directions for future SSCM research, as suggested in earlier studies, are summarized, positioned in the framework, and outlined to stimulate further SSCM research activities. To overcome the lack of holistic research in the field, sophisticated techniques and integrated systems to support decision-making are required to tackle related issues’ complexity. Therefore, this paper’s contribution lies in the synthesis of state-of-the-art literature to provide a more comprehensive view of SSCM. Researchers may find promising recommendations and a suitable foundation for future studies, while practitioners may find helpful orientation and guidance for decision- and policy-making.

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Section: Decisions Areamentioning

confidence: 99%