ACTION RESEARCH IN AUTOMOTIVE SUPPLY CHAIN MANAGEMENT: A BIBLIOMETRIC-BASED SYSTEMATIC LITERATURE REVIEW

Purpose This study aims to examine global research trends and thematic developments related to organizational culture within higher education institutions (HEIs) through a comprehensive bibliometric analysis. The study utilizes performance analysis to identify influential authors, institutions, countries and journals and applies science mapping techniques (e.g. keyword co-occurrence and thematic cluster analysis) to explore the intellectual structure and evolution of research themes across diverse geographic contexts. Design/methodology/approach This study employs a rigorous bibliometric approach to map and analyse research on organizational culture in higher education, using data from the Scopus and Web of Science (WoS) databases. Publications from 1977 to 2024 were examined, with an initial dataset of 4,506 documents. After applying selection criteria, peer-reviewed, English-language journal articles focused on organizational culture in higher education were retained, resulting in 2,445 articles for further analysis. The analysis combines performance metrics (e.g. publication trends, key authors and institutions) with advanced science mapping techniques such as co-citation analysis, bibliographic coupling and keyword co-occurrence. These methods reveal the intellectual structure of the field, identify emerging research clusters and track the evolution of key themes. Findings The bibliometric analysis reveals that research on organisational culture in higher education is shaped by key contributors, including Brown, A., Humphreys, M. and Kezar, A. The United States and the United Kingdom emerge as the most active research hubs, with leading publications in journals such as Studies in Higher Education and Higher Education. The analysis highlights core thematic areas, including the relationship between organisational culture, academic performance, faculty well-being, leadership, sustainability and institutional resilience. The field has experienced steady growth, with a notable shift from corporate-focused perspectives to educational contexts and an increasing emphasis on mixed-methods and qualitative research designs, particularly in response to global disruptions such as the COVID-19 pandemic. Originality/value This study applies a novel bibliometric approach to systematically map the intellectual landscape of organizational culture research in higher education. By integrating Scopus and Web of Science data, it uncovers influential contributions, global disparities and thematic evolutions, offering fresh insights into shifting research priorities shaped by global disruptions and institutional transformation.

The primary objective of this study is to assess co-parenting research through bibliometric analysis. The documents under evaluationwere sourced from the Web of Science (WoS) database. Initially, 473 studies were were retrieved using keyword "co-parenting". Subsequently, after applying exclusion criteria, a comprehensive bibliometric and content analysis was conducted on the remaining 421 articles. These studies were classified and visually represented based on their characteristics. It was determined that the studies evaluated within the scope of the study were conducted between 1981 and 2023. The analysis revealed that the author with the highest number of publications was O. Cohen and the most productive institution was "University of Toronto". Co-parenting, divorce, parenting, and fathers emerged as the most frequently recurring keywords through co-keyword analysis. Furthermore, the study titled "The internal structure and ecological context of co-parenting: A framework for research and intervention" was identified as the most cited study through co-reference analysis. The study concludes that Paul R. Amato was the most influential author in the co-citation analysis, while Marsha Kline Pruett was the most influential author in the co-author analysis.

BackgroundObesity significantly increases the risk of major complications of diabetes, including diabetic kidney disease (DKD), diabetic angiopathy, diabetic peripheral neuropathy, diabetic retinopathy, and diabetic foot ulcers (DFU). Although there is a well-established link between obesity and these complications, a comprehensive bibliometric study is needed to map the research landscape and identify the intellectual structure regarding the interactions between obesity and these complications.PurposeThis study aimed to systematically map the global research trends, key themes, and emerging frontiers in the interactions between obesity and five major complications of diabetes using bibliometric analysis and knowledge graph visualization.MethodsA comprehensive bibliometric analysis was conducted via Web of Science, Scopus, and PubMed databases (January 1, 2015, to March 17, 2025) addressing the interplay between obesity and five major complications of diabetes. Using VOSviewer and CiteSpace, the field’s intellectual structure, collaboration networks, and thematic evolution were mapped by analyzing co-citation, keyword co-occurrence, and keyword bursts.ResultsThe analysis of 5,475 articles revealed a rapidly growing field, dominated by research on DKD (n=1,571) and diabetic angiopathy (n=1,303), and led by institutions in the USA and China. Thematic network analysis revealed that ‘obesity’, ‘insulin resistance’, and ‘inflammation’ represent the core pathophysiological mechanisms linking all five complications of diabetes. The keyword burst indicated a significant thematic evolution in the field. Specifically, the focus of studies has transitioned from initial studies on foundational associations to more in-depth studies targeting specific molecular pathways (e.g., ‘NF-kappa B’), high-impact therapeutic interventions (‘metabolic surgery’), and distinct patient populations (‘children’). Through co-citation analysis, we found that research on obesity provides a unified intellectual backbone that structurally integrates the disparate research streams of the five major complications of diabetes.ConclusionThis study quantitatively confirmed that obesity is a scientific nexus for the five major complications of diabetes, shaping a research field characterized by rapid evolution and increasing mechanistic complexity. In conclusion, our findings advocate for a clinical paradigm that establishes weight management as a core component of diabetes treatment, while also guiding future studies toward the systematic clinical translation of mechanism-based interventions.

Purpose This study aims to conduct a structured bibliometric analysis of research on Technical and Vocational Education and Training (TVET) over the past decade. It explores key publication trends, influential authors, citation patterns and thematic developments, offering a comprehensive overview of the field’s academic landscape. Design/methodology/approach A bibliometric analysis was conducted using 861 articles retrieved from Web of Science (WoS), Scopus, ERIC, ACM Digital Library and Google Scholar databases covering the period from 2014 to 2024. The study examines publication trends, geographical contributions, author networks, keyword co-occurrence, citation analysis and thematic evolutions in TVET research. Visualization tools such as co-citation and network mapping were employed to identify significant research clusters. Findings Research into TVET reveals substantial growth, as governments worldwide strongly support the improvement of vocational education. Research activity within TVET tends to concentrate on South Africa, Malaysia and Nigeria. The development of TVET technology field policies, together with educational curricula, occurs through leading authors and important peer-reviewed publications. As this discipline continues to evolve, the number of TVET scholars produced annually is increasing. Furthermore, the research themes that emerge from co-citation analyses are then adapted as input for future strategic analysis, which, in turn, strengthens the outcomes of the TVET investigation. Despite this, issues with the interdisciplinary structure of TVET research, as well as specific challenges in addressing the research subject, are also highlighted. Practical implications Global research cooperation is needed to aid the formation of vocational training curricula that adapt to the changing requirements of the workforce market. Based on the study, policy stakeholders and educators may develop more advanced vocational training systems that incorporate industrial feedback into their educational teaching approaches. Social implications According to scientific evidence, vocational education is necessary because it is work-based learning that addresses social disparities in populations that are generally underrepresented. Social mobility is enhanced by the expansion of opportunities in TVET through hands-on skills development, which increases workforce flexibility and career advancement opportunities. A sustained and equitable education system tailored to the diverse needs of different student populations can be created by schools with the help of collaborative partnerships in TVET research dissemination methods, which enable them to understand effective worldwide practices. Originality/value To the authors’ knowledge, this study is one of the first to provide a comprehensive bibliometric analysis of TVET research with five databases, offering numerous insights into its growth, key contributors, and emerging themes in TVET. The findings provide a roadmap for future research, ensuring the continuous advancement of vocational education to meet the evolving demands of the workforce.

Purpose Many companies invest in artificial intelligence (AI) chatbots to create new-age interactive platforms for consumers to achieve business goals. The research on AI chatbots from a marketing perspective is scant and scattered across the sectors. This paper aims to analyse extant research on AI chatbots in the marketing context, providing insights on leading work, journals, institutions, authors, trends and future research directions. Design/methodology/approach This study used the Scopus database to identify 242 articles published between 1996 and 2023 on AI chatbots in the area of business management and decision sciences. This bibliometric analysis used VOS viewer software to analyse the publication and citation structure, co-authorship, collaboration network of institutions and countries, keyword co-occurrence and bibliographic coupling. Findings The study provides valuable insights from the most cited articles, shedding light on their contribution to AI chatbot research in the marketing area. It also highlighted the publication trends, notable authors, journals and bibliographic analyses to identify key trends in AI chatbot-oriented marketing. The result reveals that consumer-oriented chatbot research is presently focused on understanding consumer perception of chatbots. Consumer chatbot experience and engagement are future research areas for AI chatbots in the marketing domain. The bibliometric analysis unveils that research on AI chatbot role in marketing is currently in nascent stages and there is limited intellectual exchange to understand the consumer intention toward chatbot use. Research limitations/implications This study not only provides a comprehensive overview of AI chatbot research in marketing during the past 27 years but also suggests future opportunities for researchers to work on AI chatbots in a marketing context. To further enhance the comprehensiveness of data collection, it is recommended to include another source like the Web of Science, which is among the largest research databases. Originality/value The research contributes significantly to the study of the extant research on AI chatbots in marketing from the Scopus database for the period from 1996 to 2023. This is probably the most comprehensive bibliometric analysis conducted to understand the status of research on AI chatbots and identify trends and future research directions. This research helps in coordinating intellectual networks among institutions, authors and countries.

Supply chain management (SCM), which generally refers to horizontal integration management, has steadily become the core competitiveness of company rivalry and an essential approach to developing national comprehensive and national strength since the end of the 20th century due to the numerous needs arising from a competitive international economy. Manufacturers develop a community of interest by forming long-term strategic partnerships with suppliers and vendors throughout the supply chain. This paper defines supply chain management by reviewing the existing literature and discusses the current state of supply chain management research, as well as prospective research directions. Specifically, we conducted a bibliometric analysis of the influential studies of SCM in terms of various aspects, such as research areas, journals, countries/regions, institutions, authors and corresponding authors, most cited publications, and author keywords, based on the 8998 reviews and articles collected from the SCI and SSCI database of the Web of Science (WoS) between 2010 and 2020. The results show that the major research areas were Management (3071, 34.13%), Operations Research & Management Science (2680, 29.78%), and Engineering, Industrial (1854, 20.60%) with TP and TPR%. The most productive journal and institution were J. Clean Prod and Hong Kong Polytech Univ with a TP of 554 and 238, respectively. China, USA, and UK were the top three contributing countries. Furthermore, “sustainability”, “green supply chain (management)”, and “sustainable supply chain (management)” were the most popular author keywords in recent three years and since 2010, apart from the author keywords of SCM. When combined with the most cited articles in recent years, the application of block chain and Industry 4.0 in supply chain management increased rapidly and generated great attention.

PurposeThis study systematically reviews the current state of research on the application of high technology in supply chain management (SCM). It identifies key topics, trends and influential scholars in this field, providing a knowledge structure for future research. This study contributes to advancing the understanding of how high technology can be leveraged to enhance SCM, guiding and informing future research endeavors.Design/methodology/approachA comprehensive bibliometric analysis was conducted on 1,523 published articles retrieved from Web of Science. Through co-occurrence analysis of the titles, abstracts and keywords, the authors investigated popular research trends and topics. Through co-citation and co-authorship analyses, the authors identified leading research clusters, productive researchers and countries of the research.FindingsThere is a significant increase in publications by scholars from the USA, China and India on the impact of high technology on supply chains, particularly on food supply chains. Most articles examine the barriers and challenges of applying blockchain technology to different aspects of supply chains. Active contributions predominantly originate from scholars in the USA and China. The top five largest clusters are “supply chain management,” “scoping review,” “blockchain technology”, “food supply chains” and “management perception.”Originality/valueThis study represents the first systematic review establishing a comprehensive framework of knowledge on high technology and supply chains. Highlighting key research areas, tracing the evolution of research and explaining the knowledge structures pertaining to the role of high technology in supply chains, this study contributes to the existing literature and its findings hold practical implications for scholars and practitioners.

Organizations increasingly face challenges in aligning project management and supply chain management, as project success relies on reliable supply chains while supply chain resilience hinges on effective project coordination. Despite the growing recognition of this interdependence, research remains fragmented, with most studies treating PM and SCM in isolation, limiting systematic theorization and practical guidance for integration. Addressing this gap, this review examines how optimization methods can facilitate PM–SCM integration. Through a comprehensive bibliometric analysis, incorporating co-citation, keyword co-occurrence, and cluster analysis, the study maps the intellectual structure, thematic evolution, and diverse applications of optimization within both domains. The findings uncover key trends, showing that optimization provides a methodological foundation for managing complexity and uncertainty across diverse integration scenarios, including project scheduling, resource allocation, and supply chain coordination. It further reveals that emerging technologies extend these optimization approaches by enabling real-time prediction, improved transparency, and adaptive decision-making. Theoretically, the study reframes PM and SCM as interdependent components of an adaptive system, offering a concrete and analytically tractable framework for operationalizing integration. Practically, it outlines strategies for strengthening cross-domain coordination and risk management through optimization-enabled solutions. By consolidating fragmented research, this review not only synthesizes the evolution of optimization in PM–SCM contexts but also identifies critical future opportunities, emphasizing the development of scenario-specific models, technology-driven integration mechanisms, and resilience-oriented strategies to enhance performance in project-intensive settings.

Objective: To conduct a comprehensive bibliometric and knowledge network analysis of musculoskeletal ultrasound (MSK US) research from 2005 to 2025, with a focus on publication trends, influential authors, institutions, and thematic hotspots. Methods: Articles related to MSK US were retrieved from the Web of Science Core Collection using the search strategy TS = (“musculoskeletal ultrasound” OR “MSK ultrasound” OR “musculoskeletal ultrasonography”) AND (tendon OR ligament). Eligible studies included English-language original research and review articles published between 2005 and 2025. Bibliometric analyses were performed using VOSviewer and CiteSpace to evaluate publication trends, co-citation networks, author collaborations, institutional and country partnerships, and keyword co-occurrence. Results: A total of 570 articles (476 original research papers and 94 reviews) were included. The annual number of publications increased exponentially, peaking in 2020. Co-citation analysis identified Wakefield (2005), Naredo, and Filippucci as foundational contributors. Author collaboration networks highlighted a strong European core centered on Italy and Spain, while institutional and country analyses revealed a “Europe–North America” dual-center pattern with growing contributions from China. Keyword co-occurrence analysis revealed three main research pillars: inflammatory arthropathies, sports-related injuries, and degenerative conditions, with emerging interest in advanced imaging techniques and artificial intelligence. Conclusion: T MSK US research has demonstrated sustained growth and diversification over the past two decades. Europe remains a traditional leader, but increasing output from North America and Asia reflects a shift toward global, multicenter collaboration. Future research should prioritize methodological standardization, integration of novel imaging technologies, and alignment with clinically meaningful outcomes to optimize diagnostic accuracy and clinical utility.

Cap-and-trade regulation is an effective and flexible measure to migrate climate changes in supply chain management. As a result, supply chain management under cap-and-trade regulation (SCM-CAT) has been attracting an increasing amount of attention from both academics and industry. This paper presents a comprehensive and systemic literature review about the field of SCM-CAT based on bibliometric analysis and content analysis. After executing retrieval strategy settings and data cleaning, 563 (out of 2931) publications are selected and downloaded from two databases, including the Web of Science's core collection and Scopus. Bibliometric analysis is conducted to analyze the current status and evaluation path in the field of SCM-CAT, including yearly output, collaboration network analysis of regions and institutions, journal analysis, and co-citation sources. Content analysis focuses on the thematic area of the field of SCM-CAT in four clusters from co-citation analysis. According to the results of bibliometric and content analysis, six research gaps are identified to propose potential corresponding research opportunities and questions. This paper is beneficial for the scholars and practitioners who are exploring the field of SCM-CAT, because it promotes to realize the goals of sustainability, including economics, environment, and society.

IntroductionIdiopathic short stature (ISS) is a common paediatric endocrinological disorder defined by a height > two standard deviations (SDs) below the mean for age, sex, and ethnicity without an identifiable cause. This condition accounts for 60–80% of short stature cases in children and presents with complex and heterogeneous aetiology. ISS-related research has expanded rapidly over the past three decades; however, a comprehensive bibliometric analysis outlining its developmental trajectory and identifying emerging research priorities remains unavailable. Therefore, using network visualisation tools, we mapped 32 years of research to identify key trends, influential contributors, relevant journals, and emerging directions in ISS.MethodsPublications related to ISS in children, published between January 1993 and December 2024, were retrieved from the Web of Science Core Collection. Bibliometric and visual analyses were conducted using CiteSpace 6.1.R6, VOSviewer 1.6.20 and R package Bibliometrix. The analysis examined multiple dimensions, including annual publication trends, country and institutional contributions, collaboration networks, influential authors and journals, keyword evolution, and co-cited references to map the global ISS research landscape. We retrieved clinical trials published between 1993 and 2024 from the PubMed database to analyze the clinical progress in this field.ResultsA total of 1, 567 articles were included in the analysis. The volume of publications in the ISS field has steadily increased over time. The United States of America contributed the most publications. Leiden University in the Netherlands produced the highest number of institutional publications. Wit authored the greatest number of publications, whereas Ranke had the highest number of citations. The Journal of Clinical Endocrinology & Metabolism ranked first in both publication count and citation frequency. Co-citation analysis identified foundational documents, including the 2008 expert consensus led by Cohen, and the 2016 clinical guidelines spearheaded by Grimberg. Recent keyword bursts such as “heterozygous mutation, “ “guideline, “ and “variant” suggest growing attention to genetic mechanisms and precision medicine.DiscussionThis study systematically mapped the developmental trajectory and thematic evolution of ISS research over the past three decades using a comprehensive bibliometric analysis. The findings identified key contributors and research hotspots, providing valuable insights and reference points to guide future investigations.

A comprehensive bibliometric analysis is used in this study to investigate the emerging trends in production management with respect to green transformation. A massive literature review was conducted using Web of Science and also various bibliometric indicators, namely SWOT analysis, co-citation of cited authors, bibliographic coupling of authors, citation of authors, co-occurrence of author keywords, co-authorship of countries and co-authorship of authors. The analysis employed VOS viewer software which is a bibliometric network mapping tool. Such findings shed light on major areas and research clusters within production management field particularly as regards sustainability and eco-friendly orientation. Co-citation and bibliographic coupling analyses disclose that seminal works by key authors contributed to the dialogue on green transformation in production management. Besides, the examination of author’s keywords revealed the prevailing themes as well as current topics being researched upon passionately today through scholarly papers. The collaborative networks among researchers were shown by a country-wise distribution across continents indicating that research activities are not restricted to particular countries. The process of SWOT analysis gave a framework through which to evaluate the strengths, weaknesses, opportunities and threats related to the inclusion of sustainability in production management. This research provides insights into how organizations are changing their production management systems in response to environmental sustainability concerns. In addition, it is useful for both researchers and practitioners who want to ensure that their production management strategies are in line with green transformation goals. Future research directions are suggested to address identified gaps and to further investigate the dynamic interplay between production management and sustainable development.

전세계 산업에서 블록체인 기술의 빠른 발전은 공급사슬관리(SCM) 문제를 해결하는 데 중요한 역할을 할 것으로 기대된다. 본 논문은 SCM분야에서 블록체인기술의 주요 애플리케이션을 살펴보고, 블록체인 채택으로 인한 SCM의 과제를 검토하고, 블록체인의 미래가 어떤지를 검토하고 예측하는 것을 목적으로 한다. ‘블록체인’과 ‘공급망 관리’를 주요 키워드로 2017년부터 2021년 4월까지 631편의 논문을 과학웹(WOS) 데이터베이스를 활용하여 추출하였다. 그리고 CiteSpace와 VOS 뷰어를 활용하여 가장 영향력 있는 저자, 기관 및 국가와 이들의 관계를 분석한다. 이와 더불어 블록체인에 핵심적인 연구주제로서 ‘스마트 계약’, ‘보안’, ‘지속가능성’을 정의하였다. 본 연구를 통하여 SCM 분야의 블록체인 기술은 아직 초기 도입단계이고 향후 연구는 경영관리, 블록체인 기술, 에너지 지속가능성에 더 집중해야 한다는 것을 보여주었다. 본 연구의 결과는 연구자들이 SCM에서의 블록체인 기술 적용에서 핵심 이슈와 과제를 파악하고 블록체인 기술의 현재 상태와 추세를 이해하는 데 도움이 되리라 생각한다.Rapid development of blockchain technology in industry around the world plays an important role in addressing the issue of supply chain management(SCM). The purpose of this paper is to review main blockchain applications in SCM, challenges in SCM as a result of blockchain adoption, and what the future of blockchains holds in SCM. The review uses ‘blockchain’ and ‘supply chain management’ as keywords and analyze 631 papers between 2017 and April 2021 in the Web of Science(WOS) database. Using CiteSpace and VOSviewer as science mapping analysis tools, this study investigates the most influential authors, institutions, and countries. Theoretical understanding and hot research subjects on blockchain primarily focused on “smart contracts,” “security,” and “sustainability.” This study has shown that blockchain technology in SCM is still in its infancy, and future research should focus more on management, blockchain technology, and energy sustainability. The results of this study identified hot issues and challenges in the application of blockchain technology in SCM. As a result, this study aided academics and practitioners in understanding the current state and trends of blockchain technology in SCM research.

The development of whole slide image and deep neural network technologies has contributed to the paradigm shift in diagnostic pathology and has received much attention from researchers, with related publications increasing yearly and "exploding" in recent years. However, few studies have systematically reviewed "digital pathology" using bibliometric tools. In this study, we will use multiple approaches to visualize and analyze "digital pathology" to provide a comprehensive and objective picture of the field's historical evolution and future development. We use VOSviewer, CiteSpace, Gephi, and R to analyze the authors, institutional and national collaboration networks, keyword co-occurrence, and co-citation analysis to visualize the current status of global digital pathology research. Digital pathology-related research is mainly active in "molecular, biological, and immunology" journal groups, "pharmaceutical, medical, and clinical" journal groups, and "psychology, education, and health" journal groups; in addition to "digital pathology," "diagnosis," "deep learning," "histopathology," and "surgical pathology" are also active research topics; the U.S. has significant research results in digital pathology, with the top 10 publishing institutions all coming from the U.S. In the past two decades, global digital pathology-related research can be divided into two major research areas. One is about system verification and optimization of WSI, and the other is about the application and development of artificial intelligence technology in digital pathology. Among them, based on the development of computer technology and the update of the machine learning concept, the research results for deep neural network technologies have been more concentrated in recent years. The robust performance of deep neural networks in feature extraction and image analysis provides a new research direction for improving digital pathology-aided diagnosis systems, which is where the research hotspots have been in recent years. The bibliometric analysis may help better understand the current status of research within the field of digital pathology and provide references and lessons for future related research.

Is There a Right Research Design for Your Supply Chain Study?.- Substantive Justification for Theory Building.- A Balanced Approach to Research in Supply Chain Management.- A Critical Discussion on the Theoretical and Methodological Advancements in Supply Chain Integration Research.- Measuring Supply Chain Integration - Using the Q-Sort Technique.- Supply Chain Management and the Challenge of Organizational Complexity - Methodological Considerations.- The Configurational Approach in Supply Chain Management.- Conducting a Literature Review - The Example of Sustainability in Supply Chains.- Research Methodologies in Supply Chain Management - What Do We Know?.- Surveys in Supply Chain Management.- The Role and Importance of Survey Research in the Field of Supply Chain Management.- Web-based Surveys in Logistics Research: An Empirical Application.- SCM Research Methodologies: Employing Structural Equation Modeling.- Structural Equation Modeling as a Basis for Theory Development within Logistics and Supply Chain Management Research.- Customers' Perceptions of Service Quality by TPL Service Providers in the United Kingdom - A Confirmatory Factor Analysis.- Third Party Logistics in Thailand - From the Users' Perspective.- A Market-Oriented View of SCM - Researching Criteria and Instruments in the Public Procurement Process.- Case Study Research in Supply Chains.- Case Study Research in Supply Chains - An Outline and Three Examples.- A Proposal for Case Study Methodology in Supply Chain Integration Research.- Using Case Study Methods in Researching Supply Chains.- Multilevel Issues in Supply Chain Management.- Cost Management along the Supply Chain - Methodological Implications.- Case Studies and Surveys in Supply Chain Management Research - Two Complementary Methodologies.- Towards Triangulation - Blending Techniques in Supply Chain Management Context.- Action Research in Supply Chains.- Action Research in Supply Chain Management - An Introduction.- The Application of Action Learning and Action Research in Collaborative Improvement within the Extended Manufacturing Enterprise.- Integrating Environmental and Social Standards into Supply Management - An Action Research Project.- Supply Chain Diagnostics to Confront Theory and Practice - Re-Questioning the Core of Supply Chain Management.- A Logistics and Supply Chain Approach to Seaport Efficiency - An Inquiry Based on Action Research Methodology.- Modelling Supply Chains.- Supply Chain Management Research Methodology Using Quantitative Models Based on Empirical Data.- Of Stocks, Flows, Agents and Rules - Strategic Simulations in Supply Chain Research.- Analysis of Supply Chain Dynamics through Object Oriented Simulation.- The Potential of Cooperative Game Theory for Supply Chain Management.- Modeling the Effect of Product Architecture Modularity in Supply Chains.- Heuristics in the Multi-Location Inventory System with Transshipments.- Contract Typology as a Research Method in Supply Chain Management.- Load Dependent Lead Times - From Empirical Evidence to Mathematical Modeling.- Recovery Network Design for End-of-Life Vehicles.- Modeling and Integrated Assessment of Mass and Energy Flows within Supply Chains.- Socrates Thematic Network to Enhance European Teaching and Research of Operations as Well as Supply Chain Management.