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In order to objectively evaluate the operation effect of the Sustainable Supply Chain (SSC) collaborative governance of Water Diversion Projects (WDPs), this paper, from the perspectives of SSC and collaborative governance, and according to the existing modes of SSC collaborative governance of WDPs, constructs the collaborative management mechanism of related subjects of WDPs, and then constructs the evaluation model of the collaborative governance capacity of WDPs by using the DEMATEL (Decision-Making Trial and Evaluation Laboratory)-ANP (Analytic Network Process) method. Specifically, in this paper, the indexes at various levels are selected through literature mining and text analysis, and the mutual influence degrees among index are determined with the help of DEMATEL, so that the causality diagram can be drawn. On this basis, we obtain the global weight and the mixed weight of each index by using the ANP method and SD (Super Decisions) software, thus determining the relative importance of each index. The study finds that with regard to the SSC collaborative governance capability of WDPs, the highest requirement is made on Information Collaboration Capability (ICC) which also provides the foundational guarantee. The proportion carried by Subject Participation and Collaboration Capability (SPCC) is the lowest, however, its mixed weight is 1.9077, second only to ICC. Both Water Quantity Collaboration Capability (WQCC) and Water Quality Assurance Coordination Capacity (WQACC) account for a high percentage, which is consistent with the actual situation. The study provides a capability evaluation index system for the SSC collaborative governance of WDPs, enriches the theory of SSC collaborative governance of WDPs, and provides decision-making support for the operation and management of WDPs. HIGHLIGHTS The evaluation model of large-scale project collaborative governance is provided.; It provides a solution to judge the relationship between model indicators, which makes up for the shortcomings of indicator independence.; It provides an idea for the evaluation of collaborative governance capacity of water transfer projects.;

Achieving the sustainable goals of the United Nations requires improving supply chain sustainability (SSC). Blockchain technology (BCT) has attracted attention on a global level with the ability to transform supply chain management and sustainability efforts. Recognizing this, this study investigates how BCT plays a role in SSC. The current study looks into the importance of BCT in order to move supply networks towards sustainability by performing bibliometric analysis, and network cluster analysis. Through the literature review, the current literature was analyzed and future research directions were concluded. We begin our study by selecting 297 papers on the relevant subjects by applying various filters to the Web of Science (WoS) database. Influential individuals, journals, and organizations in this field were identified using bibliometric analysis. A network analysis was performed to identify influential co-author, and keywords, and for page rank, and cluster analysis. The network analysis was revealed ten distinct study clusters, and ten propositions were suggested from the analysis of these clusters. Additionally, a conceptual framework for the research was proposed, which can advise managers, practitioners, and researcher communities on the key trends and topics in this emerging research domain. Furthermore, to guide research scholars in this field, 33 future research directions were suggested. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate which of sustainability elements, in the context of triple bottom line (TBL), are used to build sustainable supply chain resilience. This paper presents a new body of knowledge and contribution to the literature by relating the triple bottom line (TBL) context to the building of sustainable supply chain resilience using structural equation modelling. The research were used to understand that individual sustainability factors matter and play a role in the context of supply chain resilience. A survey questionnaire was designed to collect this data from the research respondents. To statistical analysis was first Confirmatory Factor Analysis (CFA) conducted and used, then for the analysis and interpretation structural equation model. The findings indicate that individual sustainability factors matter and play a role in the context of supply chain resilience. A number of previous studies have developed broad catalogues of sustainability factors influencing supply chains, however, to date no convincing evidence has been presented as to which of the range of elements identified, and how they influence supply chain resilience building. Despite the large number of publications on sustainable supply chain and resilience building, there is still a gap and lack of proper consideration of TBL-related criteria as elements that can determine mechanisms for building supply chain resilience in the context of sustainable development. This paper operationalizes a using the structural research model to using a structural research model to investigate how and in which relationships the different elements of the triple bottom line influence the resilience of supply chains.

The effects of climate change can be seen immediately in ecosystems. Recent events have resulted in a commitment to the Paris Agreement for the reduction of carbon emissions by a significant amount by the year 2030. Rapid urbanisation is taking place to provide room for an increasing number of people's residences. Increasing the size of a city and the number of people living there creates a daily need for consumable resources. In the areas of transportation, supply chains, and the utilisation of renewable energy sources, deliver on pledges that promote the accomplishment of the Sustainable Development Goals established by the United Nations. As a result, the supply chain needs to be handled effectively to meet the requirements of growing cities. Management of the supply chain should be in harmony with the environment; nevertheless, the question of how to manage a sustainable supply chain without having an impact on the environment is still mostly understood. The purpose of this study is to present a conceptual model that may be used to maintain a sustainable supply chain with electric vehicles in such a way that caters to both environmental concerns and human requirements. As part of the continual process of achieving sustainability, interrelationships between the various aspects that are being investigated, comprehended, and applied are provided by the model that was developed. It is self-evident that governmental and international organisations that are concerned with supply-demand side information will benefit from such a model, and these organisations will locate viable solutions in accordance with the model's recommendations. Beneficiaries consist of individuals who are active in the supply chain and are concerned with supply-demand side information. These individuals also need to understand how to effectively manage this information. [ABSTRACT FROM AUTHOR]

Değişen ve gelişen, gittikçe daha karmaşık hale gelen teknoloji, hayatın birçok yerinde büyük bir değere sahiptir. Bu teknolojiyi kullanan şirketlerin büyük bir adım attığı ve bu teknolojinin gerisinde kalan şirketlerin de yok olma tehlikesi altında olduğu görülmektedir. Günümüzde sürdürülebilir tedarik zinciri, müşteri gereksinimlerindeki değişimi karşılamak için çok gerekli hale gelmiştir. Şirketlerin, odak noktasını sürdürülebilirliğe doğru kaydırmada hızlandırması ve kuruluşun hedefini karşılamak için nesnelerin interneti gibi teknolojileri kullanması gerekmektedir.Bu çalışmada, tedarik zinciri yönetimi, nesnelerin interneti ve Endüstri 4.0 dikkate alınmıştır. Endüstri 4.0 dönüşümü için nesnelerin interneti kullanılarak sürdürülebilir tedarik zincirinde bulunan potansiyel fırsatlar araştırılmıştır. Literatürden de yararlanılarak kriterler belirlenmiştir. Şirketlerin Endüstri 4.0 dönüşümüne hazır olduklarını ve bu dönüşümü gerçekleştirmek için değerlendirebilecekleri bu kriterlerin Analitik Hiyerarşi Prosesi (AHP) ve Analitik Ağ Süreci (AAS) yöntemleri ile önceliklendirilmesi yapılarak sonuçlar elde edilmiştir.

While sustainability is recognized as a crucial aspect of supply chain (SC) management, its implementation within a SC is often fraught with challenges. These challenges encompass possible causal relationships and trade-offs among sustainable SC (SSC) practices, spanning all three dimensions of sustainability. Furthermore, the increasing importance of consumers' point of view in the rapid and widespread communication era highlights the imperative to integrate this view into the SC's sustainability efforts. This paper proposes a comprehensive model for assessing and managing the implementation of sustainability in the SC while effectively tackling these challenges and requirements. Specifically, across three distinct stages, the model enables (1) identifying the SSC practices from the consumers' point of view and ranking them based on their contribution to the overall sustainability; (2) determining the causal relationships among the practices and assessing the sustainability status of the SC; and (3) prioritizing the practices and developing improvement scenarios to improve the overall sustainability of the SC. To support its objectives, the proposed model employs social media analysis and scenario planning, along with three key techniques, including the Fuzzy Best-Worst Method (FBWM) for ranking the practices, Fuzzy Cognitive Mapping (FCM) for determining the possible causal relationships among the practices and assessing the sustainability status, and Decision-Making Trial and Evaluation Laboratory (DEMATEL) for segmenting the practices based on their cause-and-effect relationships. Finally, the paper presents an empirical study in which the proposed model is applied to a mobile phone and smartphone (MPSP) SC, representing one of the most commonly consumed products in contemporary human life. • Introducing a 3-stage model for sustainable supply chain management, offering an approach for businesses. • The model considers trade-offs and causal relationships among sustainability practices, integrating consumer's opinion. • The model integrates FBWM, FCM, DEMATEL, social media analysis, and scenario planning for sustainability management. • Step-by-step design and multitasking mechanism of the model enhance its adaptability and scalability. • An empirical study in a mobile phone and smartphone supply chain demonstrates model's real-world effectiveness. [ABSTRACT FROM AUTHOR]

In a context of Small and Medium Enterprises (SMEs), the concept of sustainability has become increasingly important within the decision making strategies. The competitiveness and uncertain environment has also a key role for decision makers to find best practices to achieve sustainability which is concerned with integrating environmental, social and economic goals across a supply chain process. This paper proposes an intelligent dynamic system driven by agents that integrates Fuzzy Logic (FL) and Multi-criteria/multi-objective decision making (MC/MODM) methods to highlight the assessment process of the triple bottom line performance from a small scale (SMEs) to a large scale supply chain under uncertainty. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) brings new opportunities for creating intelligent and streamlined supply chains that have better environmental and cost performance as compared to conventional ones. In this paper, we quantify such improvements for a specific logistics chain case. To support the inventory of cost and emission data, we utilize system dynamics (SD) and agent-based modeling (AB) to define the structure of the two logistical systems, simulating and estimating differences in e.g., required storage levels, efficiency of transport, etc. In particular, we assess the difference in carbon emissions, cost, and market performance of a battery delivery chain in the delivery process between a two-tier IoT-supported supply chain (users are served by an IoT retailer directly connected to the producer) and a conventional three-tier supply chain (include an additional wholesaler to connect retailer and producer). The results demonstrate that IoT supply chains have significant advantages in minimizing average product storage and shipment fluctuations. IoT suppliers can estimate market demand to adjust production and transportation strategies for new orders. Consequently, the overall profitability of the IoT supply chain increases by more than 30%. Heating and lighting emissions in the storage process and direct emissions in transportation per functional unit (one unit of a Li-ion cell module) are reduced by 60%–70% under middle- and low-demand scenarios, and by at least 50% under high-demand scenario. However, the increasing use and higher loading rates of heavy trucks will weaken the advantages of IoT. Moreover, IoT products occupies a 10% lower market share compared to conventional ones under the same pricing strategy but achieves similar market share under the same value-added strategy. • Shipment is the dominant contributor in both supply chain emissions. • IoT enables a two-tier supply chain with less required warehouse space and waste. • IoT supply chain can reduce carbon emissions by 50%–70% in most scenarios. • IoT helps enterprises to acquire higher profits with lower market occupation. • Reducing the supply frequency through heavy trucks will weaken IoT's advantage. [ABSTRACT FROM AUTHOR]

Supply chain sustainability has been highlighted as a precursor for sustainable manufacturing and sustainable development. Manufacturing firms are considered sustainable as long as their supply chains are also sustainable. The supply chain sustainability in manufacturing firms usually involves a wide range of stakeholders, within and outside the organization. Decision making for technology selection under sustainable supply chain management (SSCM) environment involves interaction among economic, environmental and societal factors in addition to quality, manufacturing flexibility, supply chain competitiveness, and customer satisfaction. To find a balance between different stakeholders' preferences and often contradicting factors, creating optimal sustainable values for all of them makes the decision-making process much more complex. This study presents the list of critical factors for SSCM. The managerial implications of the result exhibit the development of a multi-criteria decision-making (MCDM) model for sustainable technology selection by developing an analytic hierarchy process (AHP) model through simplified calculations. [ABSTRACT FROM AUTHOR]

Innovation supports the development of Sustainable Supply Chains (SSCs) through Sustainability-Oriented Innovation (SOI) practices. This study aims to validate and further develop, through its practical application, a baseline SOI practices framework, which can be used as a benchmark model. While applying and validating this framework, several new, conceptually distinctive SOI practices were identified that were not included in the proposed baseline model. This led the authors to propose expanding the initial baseline model with a new category of "transversal" SOI practices, so that the expanded model provides a more comprehensive view of the mechanisms that foster innovation at SSCs. These "transversal" SOI practices are highly contingent on the adopting company's traits and strategy, thus suggesting that they might be a major conduit through which its strategy is reflected in its SSCM. Besides their transversal and contingent nature, another key trait of the identified SOI practices is their integrated, dynamic, time-dependent, feedback-loop-based interrelationship. These findings suggest the potential effectiveness, for processes such as sustainability innovation that involve substantial time lags, to reposition top management focus and performance evaluation "upstream" in the causal chain. This potentially promising approach involves shifting focus from results (particularly short-term results) to its causes (processes, methods), and systematically managing the ensuing feedback loops. [ABSTRACT FROM AUTHOR]