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Sustainable and Resilient Supply Chains

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (15 June 2021) | Viewed by 12964

Special Issue Editors


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Guest Editor
Logistics & Procurement Centre, Kozminski University, 03-301 Warsaw, Poland
Interests: supply chain integration; digitization in logistics and supply chains; sustainability; procurement management

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Guest Editor
Research for Cranfield School of Management, Centre of Logistics, Procurement and Supply Chain Management, Cranfield University, Cranfield, Bedford MK43 0AL, UK
Interests: food supply chain management; retail supply chain management; sustainability in supply chains; IT/E-business and supply chain management; service operations management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Supply Chain Risk & Resilience Research Institute, University of Missouri–St. Louis, St. Louis, MO 63121-4400, USA
Interests: supply chain risk; resilient supply chains; supply chain disruptions, commodity price volatility

Special Issue Information

Dear Colleagues,

Global supply chains support international trade including various sectors such as food, pharmacy, FMCG, and automotive, to name a few. Products from these supply chains start with raw materials which are then processed and distributed through a complex global supply chain until they reach the final consumer. Likewise, customer dissatisfaction results when the supply chain is not able to deliver product when, where and in the condition required.

During the past years, there has been growing societal and governmental pressure challenging businesses to focus more on the environmental issues, including the efficient conservation of resources. Subsequently, supply chain professionals are becoming increasingly motivated in operating their supply chains in a sustainable manner. The latter is also enhanced by the contemporary need to be both resilient and sustainable in their supply chains. In order to achieve the dual goals of resilience and sustainment we need to consider the following: rethinking supply chain efficiency, contemplating supply chain integration and partnerships, applying appropriate IT and digitalization tools, embracing supply chain learning and innovation, enhancing distribution strategies and online/omni-channel retailing, developing circular value systems, implementing transparency and visibility in supply chains as well as incorporating complexity, uncertainty, and risk in global supply chains.

The purpose of this special issue is to offer appreciative and critical perspectives on the different ways in which a sustainability and resilience in logistics and supply chains can be achieved. 

From this point of view, authors are invited to submit their original work regarding innovative methodologies and models for improving resilient and sustainable supply chains. Research related to the keywords below is welcomed.

Prof. Dr. Sebastian Jarzebowski
Prof. Dr. Michael Bourlakis
Prof. Dr. George A. Zsidisin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sustainability and resilience in logistics and supply chain management
  • Efficiency of supply chains
  • Supply chain integration and partnerships
  • Supply chain digitalization and IT
  • Supply chain learning and innovation
  • Distribution strategies and online/omni-channel retailing
  • Circular value systems, transparency and visibility in supply chains
  • Robustness, resilience, flexibility, agility, and responsiveness
  • Complexity, uncertainty, and risk in global supply chains

Published Papers (3 papers)

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Research

20 pages, 14896 KiB  
Article
Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management
by Simon Wong, John-Kun-Woon Yeung, Yui-Yip Lau and Joseph So
Sustainability 2021, 13(15), 8270; https://doi.org/10.3390/su13158270 - 23 Jul 2021
Cited by 40 | Viewed by 5248
Abstract
Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture [...] Read more.
Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture based on a cloud infrastructure is proposed. This paper presents this technical design with consideration of the technical sustainability in terms of scalability and big data processing and analytics. A case study was used to illustrate how the technical sustainability is achieved by applying the proposed technical design to the real-time detection of the maritime risk management. This case also illustrates how machine learning mechanism helps to reduce maritime risk by guiding a cargo ship to adjust to the planned or safe route from a detour to a danger zone. This paper also discusses the implications for further research direction. Full article
(This article belongs to the Special Issue Sustainable and Resilient Supply Chains)
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22 pages, 3805 KiB  
Article
Uncertainty and Emerging Tensions in Organizational Change: A Grounded Theory Study on the Orchestrating Role of the Change Leader
by Francesco Virili and Cristiano Ghiringhelli
Sustainability 2021, 13(9), 4776; https://doi.org/10.3390/su13094776 - 24 Apr 2021
Viewed by 2596
Abstract
We draw on the grounded theory methodology to analyze an automation project in a global parcel delivery company, as implemented in three parcel sorting hubs in two countries, seeking to identify key factors in successful change and the role of the change leader. [...] Read more.
We draw on the grounded theory methodology to analyze an automation project in a global parcel delivery company, as implemented in three parcel sorting hubs in two countries, seeking to identify key factors in successful change and the role of the change leader. We show that a crucial—but often neglected—aspect of successful change is the detection and management of tensions stemming from uncertainty. By recognizing and managing uncertainty and tensions (in this case, manual vs. automated, corporate vs. site, and planned vs. emergent), the change leader, here the industrial engineering function, can orchestrate the differing views and expectations of corporate actors toward a successful implementation of a change program. In line with recent theories on paradoxes and tensions in organizational change, our empirical outcomes imply that effective leadership of change requires the conscious acceptance of uncertainty and tensions between opposite options in key decision areas. Full article
(This article belongs to the Special Issue Sustainable and Resilient Supply Chains)
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19 pages, 1692 KiB  
Article
Risk Management Maturity Model for Logistic Processes
by Agnieszka A. Tubis and Sylwia Werbińska-Wojciechowska
Sustainability 2021, 13(2), 659; https://doi.org/10.3390/su13020659 - 12 Jan 2021
Cited by 16 | Viewed by 3753
Abstract
Recently, the maturity models for risk management are attracting growing attention. The obtained maturity level defines an assessment of an organization’s management competence. Therefore, as a set of various tools and practices, the maturity model is critical for a company’s overall risk maintenance [...] Read more.
Recently, the maturity models for risk management are attracting growing attention. The obtained maturity level defines an assessment of an organization’s management competence. Therefore, as a set of various tools and practices, the maturity model is critical for a company’s overall risk maintenance strategy development and implementation. Thus, the purpose of this article is to present a model for risk management maturity for logistic processes. We investigated the main defined assessment areas for risk maturity model implementation in logistic systems. Based on research findings, we introduced a new risk maturity assessment area based on participation in the supply chain—cooperation at risk. The proposed model constitutes the base for a two-stage assessment method implementation, where the global maturity index is introduced. Finally, we implement the proposed two-stage assessment method to verify the proposed model’s diagnostic function and determine its labor intensity. The study confirmed that the five defined maturity areas (knowledge, risk assessment, process risk management, cooperation at risk, and risk monitoring) provide a complex diagnostic tool for risk maturity level identification and, based on the obtained results, allows to define an appropriate development strategy for a given decision-making environment. Full article
(This article belongs to the Special Issue Sustainable and Resilient Supply Chains)
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