Examinando por Autor "Garcia-Buendia, Noelia"
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Ítem 22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis(Taylor & Francis, 2020-07-28) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel; Cobo, M.J.This article examines how the research into Lean Supply Chain Management (LSCM) has evolved over the period 1996-2018 with the identification of the main issues explored and future trends. A performance bibliometric analysis has been conducted through a study of published documents, citations, journal impact factor, h-index, most cited papers and authors, and data on the geographic distribution of publications. More relevantly, a science mapping analysis has been performed with SciMAT bibliometric analysis software using co-word networks in a longitudinal overview. The large number of studies of LSCM published has enabled a conceptual evolution map to be constructed of the way that this research has developed. The results have enabled us to identify four thematic areas in the LSCM field: Methods, Key factors, Internal efficiency, and Performance.Ítem A bibliometric study of Lean Supply Chain Management research: 1996-2020(Taylor & Francis, 2021-11-27) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelLean Supply Chain Management is an emerging research field in Operations Management that is attracting growing attention from researchers and practitioners. This paper aims to present a comprehensive analysis of the Lean Supply Chain Management literature to understand the influence, basic research characteristics, interrelationships, and productivity of the research in this field. The present study uses BibExcel and VOSviewer software to conduct thorough bibliometric and network analyses of 715 papers published in the Web of Science database over the period 1996-2020. The use of bibliometric methods has enabled the identification of current and emerging research clusters to detect some key research topics, interrelations, and collaboration patterns. Moreover, this analysis has enabled to draw numerous conclusions and propose a roadmap for future research in the field. This paper, therefore, provides some new insights not previously evaluated in other reviews of Lean Supply Chain Management that can help researchers to understand the evolution of research trends through a proposed classification of the literature on this topic.Ítem Building bridges in uncertain times: supply relationships, lean supply chain management, and performance(Emerald, 2024-12-31) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelPurpose. The purpose of this study is to examine how a focal firm’s supply relationships influence Lean Supply Chain Management (LSCM) implementation and its impact on operational performance. Design/methodology/approach. An empirical study of 285 Spanish focal firms has explored the relationships between supply uncertainty, strategic supplier performance, LSCM implementation, and operational performance. A structural equation model (SEM) was utilized to test four hypotheses. Findings. The results indicate that supply uncertainty and strategic supplier performance significantly impact on the decision to implement LSCM. The findings highlight the importance of strategic supplier performance for driving LSCM adoption. However, the study also suggests that LSCM implementation should be carefully considered in situations characterized by high supply uncertainty. Practical implications. The study suggests that enhancing LSCM implementation and improving performance from key suppliers are crucial factors in achieving favorable operational performance in focal firms. Practitioners receive guidance on aligning their supply relationships, considering contextual factors, and leveraging strategic supplier performance to drive effective LSCM implementation. Originality. This study offers novel insights by examining the antecedents to LSCM implementation from a contingency and relational perspective specifically focused on the context of supply relationships. This research contributes to the existing body of knowledge on supply chain management by shedding light on the interplay between supply uncertainty, strategic supplier performance, LSCM implementation, and operational performance.Ítem Lean Supply Chain Management and performance relationships: what has been done and what is left to do(Elsevier, 2021-01) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelThis paper presents a systematic literature review (SLR) of the current knowledge about Lean Supply Chain Management (LSCM) and performance relationships. The purpose is to identify the studied aspects set and to propose a novel classification of the literature on LSCM and performance relationships and to discuss the conceptual and empirical evidence that identifies existing interrelationships. The analysis has enabled two research lines to be addressed: (a) LSCM performance-based models, and (b) LSCM’s impact on performance. These findings allow us to identify gaps in the literature and to determine directions for future research.Ítem Mapping the Landscape of Quantum Computing and High Performance Computing Research Over the Last Decade(IEEE, 2024-06-07) Garcia-Buendia, Noelia; Muñoz-Montoro, Antonio J.; Cortina, Raquel; Maqueira-Marín, Juan Manuel; Moyano-Fuentes, JoséQuantum Computing (QC) is a rapidly evolving research field that has garnered significant attention due to its potential to revolutionize various domains such as cryptography, optimization, and machine learning. In this article, we conduct an extensive analysis of the evolution of QC research within the realm of High Performance Computing (HPC) over a span of ten years, up to 2023. Through bibliometric analysis and advanced science mapping techniques, we uncover key thematic areas that have emerged in the field, including quantum algorithms, simulation, parallel-computing, deep learning, machine learning, and encryption. This analysis highlights the interdisciplinary nature of QC, which intersects with disciplines such as physics, mathematics, computer science, and materials science. Furthermore, our study elucidates the close relationship between HPC and QC, showcasing how advancements in one field can significantly impact the other. The findings of this study not only provide valuable insights into the past trends and research landscape but also serve as a guide for future research directions, enabling the advancement of knowledge and fostering innovation in computer science. Additionally, our analysis sheds light on the global distribution of research contributions, identifying countries and regions that have made significant strides in QC research, thus presenting potential collaboration opportunities. Overall, this comprehensive study contributes to a deeper understanding of the development of QC within the realm of HPC, offering valuable insights and paving the way for future advancements in this exciting field.Ítem Mapping the Lean Supply Chain Management research through Citation Classics(Emerald, 2021-06-22) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelPurpose. The purpose of this paper is to systematically identify the key intellectual developments of the Lean Supply Chain Management (LSCM) field from its very first beginning by analyzing the publications that have been highly cited. Design/methodology/approach. The Citation Classics method has been used to examine the origins and evolution of the research field. Seventy-four articles have been identified as having the highest impact on LSCM research published from its beginnings to the present day. Key aspects and links among the scientific contributions are studied by descriptive, bibliometric, network, and content analyses. Findings. Publication and citation trends, methodologies used, top journals, most influential authors, institutions, and countries, collaboration patterns, and evolution of the most used keywords are some of the aspects studied. Three main research areas are identified: (1) LSCM foundations and implementation, (2) Lean-agile supply chain and performance assessment, and (3) The role of sustainability, which offer a holistic view of the field and enable the identification of potential avenues for future research susceptible to contribute to advancing the knowledge on LSCM. Originality. This study provides a useful insight into the development of the LSCM field and can help researchers as it explores the state-of-the-art of LSCM by identifying the most relevant contributions in the area, the main research lines addressed by the scientific community in this topic, and opportunities for further research on LSCM for years to come.Ítem Performance measurement of lean supply chain management: a balanced scorecard proposal(Taylor & Francis, 2022-09-28) Garcia-Buendia, Noelia; Kristensen, Thomas Borup; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelThe purpose of this paper is to propose a performance measurement framework to evaluate Lean Supply Chain Management (LSCM) performance. A literature review was performed to identify the main goals and performance indicators in LSCM. A questionnaire was designed that included the identified goals and measures. Next, based on data collected from international academics and practitioners with expertise in LSCM, a two-stage Delphi study using Fuzzy Delphi and Fuzzy DEMATEL methods was carried out to refine the most relevant goals and metrics and their interrelationships and establish benchmark values that are useful for managers to evaluate the performance achieved through the deployment of lean principles, practices, and techniques throughout the supply chain. Finally, an integrated performance measurement framework based on the balanced scorecard approach is proposed with a discussion of the academic and practical implications of the proposed framework.Ítem Planteamiento de un modelo de evaluación de Lean Supply Chain Management(Universidad de Jaén, 2019) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelThis paper proposes a model for evaluating lean supply chain management performance, based on the most commonly used performance indicators in the literature. The starting point is a Systematic Literature Review previously carried out by the authors, in order to identify the indicators that have received the most consensus, and a classification is made according to their nature, depending on whether it is operational, financial or market-based. The purpose of this model is to serve as a basis for the elaboration of a Balanced Scorecard model. Thus, a theoretical model is proposed to evaluate the results derived from lean supply chain management, grouping the indicators into approaches or perspectives of interest so that managers can guide their decision-making, similar to a balanced scorecard.Ítem Real-time energy flow mapping: A VSM-based proposal for energy efficiency(Elsevier, 2023-07-10) Fontoura, Leonardo; de Mattos Nascimento, Daniel Luiz; Neto, Julio Vieira; Garcia-Buendia, Noelia; Garza-Reyes, Jose Arturo; Lima, Gilson Brito Alves; Tortorella, Guilherme Luz; Caiado, Rodrigo Goyannes Gusmão; Meiriño, Marcelo JasmimRising energy costs and the current concern about sustainability issues directly impact the competitiveness and survival of organizations, promoting the search for continuous improvement in industrial production processes. The present study, by identifying the absence in the literature of models based on Value Stream Mapping and integrated with Industry 4.0 technologies that promote better energy efficiency practices in industrial processes, proposes a new Lean Management model called Real-time Energy Flow Mapping. This innovative model, provide capabilities to a visual, digital and sustainable management system of all energy behavior in machines and equipment using fully parameterizable metrics and rules. Also, estimulating stakeholders with the ability to predict and monitor energy costs, as well as identify possible problems due to changes in the behavior of energy consumption in machines, thus helping managers to make decisions faster and more dynamically. As a result, the literature search turned up 17 Value Stream Mapping based models with a focus on energy efficiency, along with 31 metrics grouped on energy, environmental and production processes. After discussions by the Focus Groups, 16 resulting metrics were submitted to expert panel, in which the least relevant were discarded and the 13 most relevant classified using Fuzzy Delphi. An analysis to verify the interrelationships between the metrics is performed using the Fuzzy DEMATEL, being finally applied in the proposed model. A case study of the model was carried out, submitting it operationally at the LabFaber 4.0, empirically validating the study. The Real Time Energy Flow Map fills the gap in the literature on Value Stream Mapping models to improve energy efficiency, monitoring energy consumption through dynamic mapping of the energy flow of production processes, identifying the area with increased potential for energy savings through changes in operating behavior that reduce overall energy consumption and environmental impacts.Ítem Squaring circular supply chain management: A comprehensive overview of emerging themes and trends(Wiley, 2024-08-13) Garcia-Buendia, Noelia; Nuñez-Merino, Miguel; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelCircular supply chain management (CSCM) is the revolutionary integration of circular principles into supply chain management and the supply chain environment to achieve zero waste and outperform traditional supply chain sustainability models in advancing supply chain circularity. This study examines CSCM and the corresponding literature to highlight key research themes and trends. An advanced iteration of the Systematic Science Mapping analysis methodology has been designed and implemented with a Named Entity Recognition approach to extract relevant information from scientific articles. Key themes are revealed such as essential capabilities for circularity in the supply chain, circular business models, sustainable supplier selection and blockchain technology's role. The article gives insights into current research and identifies emerging trends in CSCM. This exploration aims to provide a nuanced understanding of CSCM's transformative power and shed light on its practical implications.Ítem Strategic supplier performance in a competitive landscape: Enhancing organizational performance through lean supply chain management(Sage, 2023-11-14) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel; Romano, Pietro; Molinaro, MargheritaIn a context characterized by increasing competitive pressure, supply chain collaboration has gained greater relevance and lean principles have been integrated into supply chain management to address the challenge of achieving better organizational performance. The purpose of this study is to understand the roles of strategic supplier performance and competitive intensity in Lean Supply Chain Management (LSCM) implementation and its performance. We use a variance-based Structural Equation Model analysis with empirical data from a sample of 273 Spanish companies to analyze the relationships among strategic suppliers, competitive intensity, LSCM implementation, and performance. Our findings indicate that strategic supplier performance is positively associated with LSCM implementation and that this relationship is heightened in highly competitive industries. Our results also reveal the indirect association of LSCM implementation in the strategic supplier performance-organizational performance relationship.Ítem The Lean Supply Chain Management response to technology uncertainty: consequences for operational performance and competitiveness(Emerald, 2022-11-21) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel; Avella, LucíaPurpose – This study aims to analyze the Lean Supply Chain Management (LSCM) strategy’s role as a mechanism to address technology uncertainty and provide organizations with competitive advantage. Design/methodology/approach – An empirical study was conducted of 276 Spanish focal firms in industrial sectors that occupy an intermediate position in the supply chain to investigate the influence of technology uncertainty on LSCM implementation and the latter’s effect on operational performance and competitiveness. A covariance-based structural equation model (CB-SEM) was used to test three hypotheses. Findings – Technological uncertainty encourages progress in the implementation of lean throughout the supply chain and so is a mechanism that not only brings stability to the focal company but also improves its performance and puts it in a better competitive position. Practical implications – Managers are suggested to consider the strategic integration with supply chain partners and the establishment of long-term relationships based on trust and commitment advocated by LSCM to enhance organizations’ capabilities and effectively and flexibly respond to technological changes. Originality – This study focuses on the effects of environmental uncertainty on the supply chain. The past literature has focused on the behavior of individual firms to deal with uncertainty but this work shifts the level of analysis to the supply chain. Therefore, the strategic change to deal with what is happening in the environment is now switched to the supply chain level.