Special Issue "Information Sharing on Sustainable and Resilient Supply Chains"

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

Deadline for manuscript submissions: closed (30 September 2019).

Special Issue Editors

Dr. Roberto Dominguez
E-Mail Website
Guest Editor
Industrial Management & Business Administration Department, University of Seville, E41092 Seville, Spain
Interests: supply chain
Dr. Borja Ponte
E-Mail Website
Guest Editor
Department for People and Organisations, The Open University, Milton Keynes, UK
Interests: closed-loop supply chains; business transformation
Dr. Salvatore Cannella
E-Mail Website1 Website2
Guest Editor
1. Department of Civil Engineering and Architecture (DICAR), University of Catania, Via A.Doria 5, 95131 Catania, Italy
2. Industrial Management & Business Administration Department, University of Seville, E41092 Seville, Spain
Interests: supply chains; bullwhip effect; inventory management
Prof. Dr. Jose M. Framinan
E-Mail Website
Guest Editor
Industrial Management, School of Engineering, University of Seville, 41004 Sevilla, Spain
Interests: decision system and models in industry and services
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Globalization and the growth of outsourcing have prompted supply chain (SC) networks to become more complex and unpredictable, since SC partners have higher autonomy, and they often belong to different SCs concurrently. In this context, information sharing plays a key role for improving SC coordination, which would be the catalyst for accommodating the added complexity of current SC networks and improving SC performance.

The aforementioned situation has coexisted with the start of a shift in the world economy, moving from the traditional "extract-make-use-dispose" linear model to a circular model. In turn, this has caused the development of new, closed-loop structures of SCs. The processes of collecting and restoring used products generate an extra layer of uncertainty, increasing the vulnerability of SCs to disruptions, making the concept of resilience a key feature of closed-loop SCs.

The potential benefits of information sharing in this new paradigm of SCs have been scarcely explored by the research community yet. In this Special Issue, we aim to bring together original and high-quality papers fitting the Special Issue’s theme that is neither published nor currently under review by any other journal. Papers must demonstrate substantial new contributions, and authors need to explicitly indicate scientific advances as compared to prior research studies. Both technical and survey/review papers are welcomed. Papers selected for this Special Issue will be subject to a peer-review procedure.

Dr. Roberto Dominguez
Dr. Borja Ponte
Dr. Salvatore Cannella
Dr. Jose M. Framinan
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 papers will be 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 1900 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

  • supply-chain resilience
  • information sharing
  • partial/erroneous information sharing
  • simulation in complex supply-chains
  • risk management in supply chains
  • reverse logistics

Published Papers (9 papers)

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Editorial

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Editorial
Building Resilience in Closed-Loop Supply Chains through Information-Sharing Mechanisms
Sustainability 2019, 11(23), 6746; https://0-doi-org.brum.beds.ac.uk/10.3390/su11236746 - 28 Nov 2019
Cited by 1 | Viewed by 959
Abstract
In this paper we reflect on the role of information sharing on increasing the resilience of supply chains. Specifically, we highlight the lack of studies addressing this relevant topic in closed-loop supply chains. Then, we introduce the works covered by the Special Issue [...] Read more.
In this paper we reflect on the role of information sharing on increasing the resilience of supply chains. Specifically, we highlight the lack of studies addressing this relevant topic in closed-loop supply chains. Then, we introduce the works covered by the Special Issue “Information Sharing on Sustainable and Resilient Supply Chains” to investigate the relationships between information sharing and resilience in sustainable supply chains. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)

Research

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Article
Understanding the Sustainable Usage Intention of Mobile Payment Technology in Korea: Cross-Countries Comparison of Chinese and Korean Users
Sustainability 2019, 11(19), 5532; https://0-doi-org.brum.beds.ac.uk/10.3390/su11195532 - 08 Oct 2019
Cited by 18 | Viewed by 1800
Abstract
Mobile payment (m-payment) enables consumers to perform their payment tasks via a mobile technology platform. In this study, we summarized, evaluated, and expanded upon the literature about m-payment usage intention by synthetically integrating the advantages of three information systems theories into an integrated [...] Read more.
Mobile payment (m-payment) enables consumers to perform their payment tasks via a mobile technology platform. In this study, we summarized, evaluated, and expanded upon the literature about m-payment usage intention by synthetically integrating the advantages of three information systems theories into an integrated model, which details the complementary relationship between the objective measures, subjective perception of m-payment services, and m-payment technology–task fit characteristics. Based on a sample of 908 individuals in two different Kakaopay user groups (467 Chinese Kakaopay users in Korea and 441 local Korean Kakaopay users) and the three-model integrated optimization, we integrated the unified theory of acceptance and use of technology model (UTAUT), the information systems success model (D&M ISS), and the task-technology fit model (TTF), considering moderating variables (Chinese and Korea experienced consumers) and multi-group analysis. We chose the factors influencing Chinese and Korean consumers’ usage intention as the research objects, and ultimately achieved our purpose of more accurately predicting consumer behavior patterns to expand the scale of potential Chinese consumers. The empirical results theoretically contribute to academic and practical solutions for the Korean m-payment product and help technology suppliers to stimulate the sustainable growth of Korean mobile payment consumer groups in Korea. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Article
Enterprise Resilience Assessment—A Quantitative Approach
Sustainability 2019, 11(16), 4327; https://0-doi-org.brum.beds.ac.uk/10.3390/su11164327 - 10 Aug 2019
Cited by 8 | Viewed by 1280
Abstract
Enterprise resilience is a key capacity to guarantee enterprises’ long-term continuity. This paper proposes a quantitative approach to enhance enterprise resilience by selecting optimal preventive actions to be activated to cushion the impact of disruptive events and to improve preparedness capability, one of [...] Read more.
Enterprise resilience is a key capacity to guarantee enterprises’ long-term continuity. This paper proposes a quantitative approach to enhance enterprise resilience by selecting optimal preventive actions to be activated to cushion the impact of disruptive events and to improve preparedness capability, one of the pillars of the enterprise resilience capacity. The proposed algorithms combine the dynamic programming approach with attenuation formulas to model real improvements when a combined set of preventive actions is activated for the same disruptive event. A numerical example is presented that shows remarkable reductions in the expected annual cost due to potential disruptive events. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Article
Information Sharing with ICT in Production Systems and Operational Performance
Sustainability 2019, 11(13), 3640; https://0-doi-org.brum.beds.ac.uk/10.3390/su11133640 - 02 Jul 2019
Cited by 7 | Viewed by 1317
Abstract
In globalized times the integration of information and communication technologies in companies and their supply chains is required, but there is uncertainty regarding the true impact that these have on efficiency indices or benefits gained in the productive system. This article reports a [...] Read more.
In globalized times the integration of information and communication technologies in companies and their supply chains is required, but there is uncertainty regarding the true impact that these have on efficiency indices or benefits gained in the productive system. This article reports a structural equation model that contains ten hypotheses with five latent variables associated with the integration of information and communication technology in production systems such as information exchange, operations management, production control, distribution activities, and operational benefits obtained. The paper aims to quantify the relationships among those variables, facilitating managers to make decisions in information and communication technologies (ICT) implementation. The model is validated with information from 80 responses to a questionnaire applied to manufacturing companies, and partial least-squares technique is used to statistically validate the hypotheses; the results indicate that the implementation of information technologies facilitates the exchange of information, operations management and production control. This means that ICT integration can create visibility for a supply chain in a material’s flow among partners, facilitate operations management in production lines and distribution activities, and these benefits are ultimately transformed into operational benefits that managers measure as flexibility, low cost and short cycles times with customers. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Article
Integrating Green Practices into Operational Performance: Evidence from Brazilian Manufacturers
Sustainability 2019, 11(10), 2956; https://0-doi-org.brum.beds.ac.uk/10.3390/su11102956 - 24 May 2019
Cited by 14 | Viewed by 1904
Abstract
The pressures exerted by the market, society, regulators and/or clients on organisational environmental responsibility have required companies to adopt environmental management practices. Within this process, integration with suppliers and customers is important to enable companies to meet these demands, and at the same [...] Read more.
The pressures exerted by the market, society, regulators and/or clients on organisational environmental responsibility have required companies to adopt environmental management practices. Within this process, integration with suppliers and customers is important to enable companies to meet these demands, and at the same time achieve their organisational goals. Using empirical results from 117 respondents on Green Supply Chain Management (GSCM) practices among Brazilian manufacturers, we examined the impact of the adoption of green practices on operational performance. To do so, we developed a questionnaire to collect the variables on environmental practices and operational performance in manufacturing firms in Brazil, an emerging economy in which this sector accounts for 25% of its Gross Domestic Product (GDP). The results show that the adoption of GSCM between suppliers and/or customers has a positive effect on operational performance. This means companies can benefit from a green supply chain by cooperating with upstream suppliers of environmentally responsible production technology and by exchanging environmental information with them, as well as considering the views of customers and green consumers in their production processes. This study provides empirical support for managers promoting environmental practices that may lead to operational performance and sustainable growth. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Article
The Role of Transparency in Humanitarian Logistics
Sustainability 2019, 11(7), 2078; https://0-doi-org.brum.beds.ac.uk/10.3390/su11072078 - 08 Apr 2019
Cited by 5 | Viewed by 3364
Abstract
Human suffering has increased in recent years owing to increased intensity ad frequency of disasters. These are expected to further increase in the coming years due to climate change. Although natural disaster risks to humans cannot be completely eliminated, they can be minimized [...] Read more.
Human suffering has increased in recent years owing to increased intensity ad frequency of disasters. These are expected to further increase in the coming years due to climate change. Although natural disaster risks to humans cannot be completely eliminated, they can be minimized through efficient and effective humanitarian logistics (HL). Considering the importance of HL in reducing the impacts of disasters through fair distribution, this study aims to address the following question: “How can the performance, efficiency and effectiveness of HL be improved through transparency?” The primary data were collected through an online structured questionnaire from the employees participating in relief operations in Pakistan. This specific research model is reflective. Therefore, a covariance-based structure equation model (CB-SEM) based on confirmatory factor analysis (CFA) with SmartPLS software was used. The study tested the items’ reliability, discriminate validity, goodness of fit, and psychometrical soundness of the hypothesized model. The study results indicate that the relationship between predictor variables (disclosure, clarity, accuracy, corporate governance, decision making and accountability) and the response variable (effective HL) is mediated by public trust. Furthermore, the study suggests that public trust plays an imperative role in enhancing the performance, efficiency and effectiveness of HL. In addition, first, the study findings are expected to be beneficial for all stakeholders of disaster risk management, especially for governments, donors and humanitarian organizations (HOs), because they are persistently seeking strategies to assist victims. Second, most importantly, this study raises awareness of the need to carefully evaluate decisions related to the fair distribution of relief items. Third, the structure of this article reveals research gaps and promising areas for further research. This article provides a deeper understanding of transparency in HL using empirical data, which has not been explored before. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Article
Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach
Sustainability 2019, 11(2), 484; https://0-doi-org.brum.beds.ac.uk/10.3390/su11020484 - 17 Jan 2019
Cited by 12 | Viewed by 1856
Abstract
The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM [...] Read more.
The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM approaches, is proposed for investigating and identifying a set of key performance measures of resilience for supply chain (SC) management. In line with previous research, we identified and updated 13 key SC capabilities out of 24 as core performance measures of supply network resilience. Furthermore, our findings categorised each capability and element into one of four types of influential power variables (drivers, dependent, autonomous, or linkage). This study (i) lends support to and updates previous research that examined the core capabilities of SCRES and (ii) provides complementary classifications for the influential powers of SCRES capabilities and elements. The literature indicates that there has been no research that has integrated SLR as a basis to ISM for an effective way to utilize existing studies for increasing awareness and developing managerial guidelines to achieve SCRES. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Review

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Review
Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research
Sustainability 2020, 12(10), 4108; https://0-doi-org.brum.beds.ac.uk/10.3390/su12104108 - 18 May 2020
Cited by 16 | Viewed by 1829
Abstract
Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of [...] Read more.
Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of research. This paper reviews the literature on sustainability, Big Data, Industry 4.0 and supply chain management published since 2009 and provides a thorough insight into the field by using bibliometric and network analysis techniques. A total of 87 articles published in the past 10 years were evaluated and the top contributing authors, countries, and key research topics were identified. Furthermore, the most influential works based on citations and PageRank were obtained and compared. Finally, six research categories were proposed in which scholars could be encouraged to expand Big Data and Industry 4.0 research on SCS. This paper contributes to the literature on SCS in the age of Industry 4.0 by discussing the challenges facing current research but also, more importantly, by identifying and proposing these six research categories and future research directions. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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Review
Insights on Multi-Agent Systems Applications for Supply Chain Management
Sustainability 2020, 12(5), 1935; https://0-doi-org.brum.beds.ac.uk/10.3390/su12051935 - 03 Mar 2020
Cited by 4 | Viewed by 1373
Abstract
In this paper, we review relevant literature on the development of multi-agent systems applications for supply chain management. We give a general picture of the state of the art, showing the main applications developed using this novel methodology for analyzing diverse problems in [...] Read more.
In this paper, we review relevant literature on the development of multi-agent systems applications for supply chain management. We give a general picture of the state of the art, showing the main applications developed using this novel methodology for analyzing diverse problems in industry. We also analyze generic frameworks for supply chain modelling, showing their main characteristics. We discuss the main topics addressed with this technique and the degree of development of the contributions. Full article
(This article belongs to the Special Issue Information Sharing on Sustainable and Resilient Supply Chains)
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