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    Supply Chain Innovation and Sustainability Frontiers: A Balanced Scorecard Perspective
    (Springer, 2020-01-01)
    Global trade has been growing at a steady pace since the 1950s, which has brought increasing operational challenges to supply chains. Technological advances and the “digital revolution” bring new opportunities to improve key supply chain processes in many sectors, including transportation. However, while embracing innovation, firms have to ensure that they do not lose strategic focus and that their performance measurement systems continue to evolve. This study explores how disruptive innovations in supply chain operations may produce unexpected outcomes for firms’ strategy. We analyze four examples of technological innovation in transport under a Balanced Scorecard framework. Our reflections shed light on the potential trade-offs that organizations may face between different dimensions of performance to pursue sustainable development goals.
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    A hub location model in the sustainable supply chain considering customer segmentation
    (Emerald, 2020-12-30)
    Purpose This paper aims to study the hub transportation system in supply chain networks which would contribute to reducing costs and environmental pollution, as well as to economic development and social responsibility. As not all customers tend to buy green products, several customer groups should be considered in terms of need type. Design/methodology/approach In this paper, a multi-objective hub location problem is developed for designing a sustainable supply chain network based on customer segmentation. It deals with the aspects of economic (cost reduction), environment (minimizing greenhouse gas emissions by the transport sector) and social responsibility (creating employment and community development). The epsilon-constraint method and augmented epsilon-constraint (AEC) method are used to solve the small-sized instances of this multi-objective problem. Due to the non-deterministic polynomial-time hardness of this problem, two non-dominated sorting genetic algorithm-II (NSGA-II) and multi-objective grey wolf optimizer (MOGWO) metaheuristic algorithms are also applied to tackle the large-sized instances of this problem. Findings As expected, the AEC method is able to provide better Pareto solutions according to the goals of the decision-makers. The Taguchi method was used for setting the parameters of the two metaheuristic algorithms. Considering the meaningful difference, the MOGWO algorithm outperforms the NSGA-II algorithm according to the rate of achievement to two objectives simultaneously and the spread of non-dominance solutions indexes. Regarding the other indexes, there was no meaningful difference between the performance of the two algorithms. Practical implications The model of this research provides a comprehensive solution for supply chain companies that want to achieve a rational balance between the three aspects of sustainability. Originality/value The importance of considering customer diversity on the one hand and saving on hub transportation costs, on the other hand, triggered us to propose a hub location model for designing a sustainable supply chain network based on customer segmentation.
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    Sustainable management of the supply chain based on fuzzy logic
    (Bellwether Publishing, Ltd., 2021-01-01)
    Companies face a number of management challenges, and decision makers must adopt new approaches that consider sustainable development in their operations. In this context, the article aims to address sustainable supply chain management and propose solutions based on a fuzzy logic. Three distance measurement algorithms are applied to evaluate and classify suppliers in a consumer goods industry. The results demonstrate the usefulness of the algorithms in decision-making and bring a contribution to the sustainable development of companies. Furthermore, it supports future studies on sustainable management, the supply chain, and the application of algorithms to sustainability.
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    Addressing sustainability challenges through supply chain managers’ transformative leadership behavior
    (Springer, 2021-01-01)
    Sustainability concerns are far beyond individual action of the organizations or even countries. Instead, global supply chains have demonstrated their potential as powerful networks of integration, connecting the most important economic activities in the world. Nevertheless, supply chains have to rely on their leaders to achieve a proper performance, so adding a sustainability perspective on these leaders will drive to the incorporation of sustainability practices alongside supply chains at each stage and process. This chapter aims to highlight the importance of adopting a sustainability mindset for supply chains’ leaders, in order to fulfill stakeholders’ expectations regarding social concerns, environmental detriment, and economic welfare. Moreover, we discuss how a transformative leadership would be achieved, by thinking ahead of traditional supply chains’ measures such as price, quality, and speed, finding important insights from real examples. Beyond businesses and supply chain leaders, we also address the need to address sustainability issues in a systems perspective, in which we highlight the crucial role of teaching and learning.
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    Optimization model applied to the distribution of COVID-19 vaccines in Lima and Callao
    (Springer, 2022-01-01)
    Currently, Peru has started a vaccination plan to face the crisis generated by Covid-19; however, it has not been the most efficient. The current study seeks to reduce vaccine distribution times and costs in Lima and Callao by applying a mathematical optimization model.
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    Achieving transparency through blockchain: Sustainability of fishery supply chain management
    (Escola Superior de Propaganda e Marketing, 2022-09-23)
    This paper aimed to discuss how blockchain technology would incorporate several changes in the fishery supply chains, in order to make them more reliable and sustainable. Method: This is a qualitative study, using an exploratory method with descriptive approach. In addition, the literature review in this study presents theoretical contributions regarding utility. Main Results: The study highlights the importance of incorporating blockchain features into seafood supply chains, which are currently fragmented and lack of real-time information, focusing on its traceability potential to leveraging fishery supply chains operations and outcomes. It identifies a sequence of strategic checkpoints that provide real-time information by using blockchain in fishery supply chains. Relevance / Originality: This manuscript presents a diagram of a seafood supply chain considering how blockchain allows the data gathering in each stage in order to provide traceability to the supply chain. Hence, the study serves as a map, as well as a model, for upcoming research on how to understand the incorporation of technology into supply chains stages. Theoretical / Methodological Contributions: Supply chains support international business operations. Furthermore, as digital revolution moves aggressively forward, supply chains need to adapt to it in order to fit for the new stakeholders’ expectations. This study uses sustainable supply chain management and blockchain technology as positioning literature. Management Contributions: The study provides an overview of how fishery supply chains would work by incorporating blockchain technology, which extends the literature about sustainable supply chain management and proposes paths for actions for policymakers in order to make them improve the business ecosystem. This study implies a practical contribution to global value chain perspective and the discipline of business.
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    Industry 4.0 evolutionary framework: The increasing need to include the human factor
    (Alberto Hurtado University, 2022-01-01)
    Since 2011, when it appeared as a concept, "Industry 4.0" has been expanding worldwide, impacting many organizations' productivity, performance, and supply chain, especially in developed economies. Prior research has focused mainly on conceptualization, modeling, and technological and operative improvements in the supply chain. Based on a systematic literature review and considering the onset of the COVID-19 pandemic as a major milestone in the global industry, this study proposes a new framework for the analysis of Industry 4.0's evolution, which is divided into three phases: (a) from the beginnings through 2011, (b) Industry 4.0 Process Development: 2012-2019, and (c) the human factor challenge after the COVID-19. In this last phase, the human factor is equally essential as technology selection and change management. To achieve long-term business success, the implementation of Industry 4.0 must consider human aspects, such as middle management leadership, the challenges of empowering operators 4.0, and workers' well-being. Finally, Industry 4.0 could foster a more sustainable, inclusive, and diverse business.
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    Supply Chain Optimization in Manufacturing: An Approach Based on Project Management
    (2023-12-22)
    A documentary review was carried out on the production and publication of research papers related to the study of Supply Chain, Manufacturing Industry, project management. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period between 2017 and 2022, achieving the identification of 321 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that India with 66 publications with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material related to the study of supply chain optimization in the manufacturing industry based on project management was offered in the intensive care unit was Engineering with 181 published documents, and the most used Publication Type during the period indicated above were Journal Articles with 54% of the total scientific production.
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    Innovation in KIBS Firms: The Effects of Innovation Activities, Employees’ Level of Education, and the Sources in the Supply Chain
    (Inderscience Publishers, 2023-01-01)
    There has been a growing interest in the study of knowledge-intensive business services (KIBS) due to the important role that they play in the business processes of their clients. Even though extant literature assumes that KIBS firms are innovators, there is evidence that not all KIBS are equally innovative. Our exploratory research uses data gathered from the National Survey of Innovation in the manufacturing and KIBS industries and uses the LOGIT model on a sample of 311 Peruvian KIBS firms. The effects of innovation activities, employee level of education and the sources in the supply chain on developing innovations are determined. Findings indicate that not all innovation activities positively affect innovation. We found that most of these activities are related to technological innovation, rather than non-technological innovation, and the hiring of graduated personnel favours the development of organisational innovation. However, the interplay with customers, suppliers and competitors gives no benefit concerning the development of innovation.
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    A Critical Analysis of the Integration of Blockchain and Artificial Intelligence for Supply Chain
    (Springer, 2023-08-01)
    The integration between blockchain and artificial intelligence (AI) has gained a lot of attention in recent years, especially since such integration can improve security, efficiency, and productivity of applications in business environments characterised by volatility, uncertainty, complexity, and ambiguity. In particular, supply chain is one of the areas that have been shown to benefit tremendously from blockchain and AI, by enhancing information and process resilience, enabling faster and more cost-efficient delivery of products, and augmenting products’ traceability, among others. This paper performs a state-of-the-art review of blockchain and AI in the field of supply chains. More specifically, we sought to answer the following three principal questions: Q1—What are the current studies on the integration of blockchain and AI in supply chain?, Q2—What are the current blockchain and AI use cases in supply chain?, and Q3—What are the potential research directions for future studies involving the integration of blockchain and AI? The analysis performed in this paper has identified relevant research studies that have contributed both conceptually and empirically to the expansion and accumulation of intellectual wealth in the supply chain discipline through the integration of blockchain and AI.