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The research extended to the suppliers (auto-component manufacturers) responsibility towards the environment. The statistical tools used for this section were Chi-square (Cross-tab) and Logistic Regression with the attributes of corporate governance, product design, green procurement, environmentally friendly manufacturing, green packaging, waste management, and green inspection was used to measure their environmental responsibility
This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.
These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and...
Frontiers of Civil Engineering and Disaster Prevention and Control is a compilation of selected papers from The 3rd International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2022) and focuses on the research of architecture and disaster prevention in civil engineering. The proceedings features the most cutting-edge research directions and achievements related to construction technology and prevention and control of disaster. Subjects in this proceedings include: Construction Technology Seismicity in Civil Engineering High-Rise Building Construction Disaster Preparedness and Risk Reduction Smart Post-Disaster Rescue These proceedings will promote development of civil engineering and risk reduction, resource sharing, flexibility and high efficiency. Moreover, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Entrepreneurial (re)orientation in the face of crisis: Is it worth modifying entrepreneurial strategy? Abstract PURPOSE: This article aims to determine how companies in the SME sector modify their business strategies in response to changes in the external environment. The research focused on modifications to entrepreneurial strategies expressed through the fundamental dimensions of entrepreneurial orientation (EO): risk-taking, innovativeness, and proactiveness. Additionally, it identified which types of reactions (modifications in strategies) lead to the most favorable changes in firm performance. The external environment was determined based on the market situation that resulted from the e...
This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field. By covering the established streams in MCDA research and simultaneously exploring new and emerging areas of application, it offers a unique reference resource for the future development of MCDA. The book approaches MCDA as one of the most active areas in operations research and management science (OR/MS). It presents not only the significant advances achieved to date, but also the new opportunities and challenges arising for both the theory and practice of MCDA. Among many others, the book addresses behavioral and conceptual aspects of decision aiding and decision making, problem structuring issues in the framework of new technological and socio-economic advances, methodological and algorithmic advances for analytical modeling and decision aiding, as well as a number of new application areas in engineering, business, and the social sciences.
This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis.
During the COVID-19 pandemic, supply chain (SC) mapping appeared as one of the critical SC capabilities that could make a striking difference in organizations’ SC performance and improve sustainable operations. Despite its crucial role in responding to SC disruptions, there is a void in the literature on this topic. This book aims to address this gap demonstrating the importance of SC mapping, sustainability in the Industry 4.0 era. The book explores how SC mapping contributes to sustainability from social, economic, and environmental perspectives, the role of SC mapping in upstream, midstream, and downstream SC sustainability, as well as the role of technology advancement and the impact of blockchain and Industry 4.0 in SC mapping. Adopting a multidisciplinary approach, this edited collection features international authors from a diverse range of disciplines including SC management, operations management, technology and innovation management, and sustainability. The book will be a valuable resource for global scholars, researchers, and upper-level students across operations, SC management, and logistics, as well as engineering and technology management.