This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.

This volume reports on the excavation of Guilá Naquitz cave in Oaxaca, a site that provides important evidence for the earliest plant domestication in the New World. Stratigraphic studies, examinations of artifactual and botanical remains, simulations, and an imaginative reconstruction make this a model project of processual archaeology.

Groups and organizations vary dramatically in their ability to learn. Some acquire substantial knowledge as a function of experience, while others do not. In groups, learning can occur at the level of the individual member and/or the group as a whole. In organizations, learning can occur at both of these levels as well as that of the wider collective. Besides varying in the amount and kind of information they acquire, groups and organizations also vary regarding their success in retaining knowledge and transferring it to other units. In general, groups and organizations that are proficient in acquiring, retaining, and transfering knowledge are more productive and more enduring than their less able counterparts. The goal of this handbook is to bring together cutting-edge theoretical and empirical work on group and organizational learning by leading scholars from several disciplines. Because many of the same processes influence learning in groups and organizations, including both kinds of learning in the same volume has the potential to facilitate the integration of knowledge and the cross-fertilization of ideas. These benefits are reciprocal, in that research at the group level can shed light on how organizations learn whereas research at the organizational level can illuminate how groups learn. By clarifying similarities and differences in the processes that underlie learning in groups and organizations, the handbook advances understanding of the causes and consequences of learning in collectives of varying size and complexity.

The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

The idea for this volume took root during a recent annual convention of the American Psychological Association. The contributors share a common vision of research in their particular area and have had an opportunity to debate and clarify their ideas. Taken as a whole, the fifteen chapters provide an exciting perspective of the field and form a basic set of readings for courses on individual and group decision making in a variety of disciplines. The coverage from basic laboratory research to complex applied group decision processes should challenge researchers and students to pursue the field of decision making as enthusiastic scientists and practitioners.

Fundamental Theories of Mega Infrastructure Construction Management: Theoretical Considerations from Chinese Practices is a collection of decades of research and applications of managing megaprojects using theories of complex systems and management sciences. It presents basic (classical) theory of megaproject management and is a showcase of more than 30 years of research of complex system and management sciences on the theory of megaproject management resulting from the integrating of theory and practice of megaprojects. The theory and models have undergone rigorous systematic testing during the management and implementation of megaprojects in China. Megaprojects are huge undertakings, often in infrastructure (bridges, tunnels, airports, etc.) that involve huge levels of investment, often take years to complete, and typically run into delays, cost overruns, and any number of unforeseen problems. Over the last few decades, no one country has undertaken more of these projects than China, and this book presents the fundamental theories underlying the practice of Mega Infrastructure Construction Management as practiced in China. Individual chapters provide a basic definition of Mega Infrastructure Construction and it’s management; an overview of the theories behind it; the Formation Path; basic concepts; fundamental principles; scientific problems; the Method System of Meta-synthesis; specialized methods in research; and intelligent management of Mega Infrastructure Construction. Although the theoretical construction management problems in this book are derived from construction practices in China, they can be applied universally and extended for great fundamental significance.