Totally Awesome Stephen Monaco offers a comprehensive guide to social media marketing in Insightful Knowledge. He changes perceptions on social media marketing and tell readers how to develop their marketing strategies. Since social media needs to be part of your marketing efforts, read this book Monica Cornetti - Leading Authority on Entrepreneurial Thinking, and Author of Your Face Isn't Finished Until Your Lipstick is On YOU NEED THIS BOOK IF... you don't know where to start with your social media initiatives you've started your social media initiatives but aren't sure if you're on the right track your social media initiatives are in place and you believe you're on the right track none of your social media initiatives are directly tied to specific business objectives you fail to use social media monitoring / listening platforms in your social media you don't know what consumers are saying about your brand online you don't have a comprehensive Voice of Customer program in place you're not engaging consumers with relevant content across multiple platforms your company is driven by sales, rather than by marketing the breakneck tempo of today's business makes it difficult to adapt and keep up with change you no longer know how to reach potential customers

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book's chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

This book reports the best practices that companies established in Latin America are implementing in their manufacturing processes in order to generate high quality products and stay in the market. It lists the technologies, production and administrative philosophies that are being implemented, presenting a collection of successful cases of studies from Latin America. The book describes how the tools and techniques are being integrated, modified and combined to create new technical resources for assisting the decision making process for better economic performance in manufacturing companies. The efforts deployed for assisting the transformation of raw materials into products and services are described. The authors explain the main key success factors or drivers for success of each tool, technique or hybrid combination approach applied to solve manufacturing problems.

The purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and various multi-criteria based supplier's evaluation methods for forward, reverse and mass customized supply chain. This book encompasses several criteria, methods for supplier selection in a systematic way based on extensive literature review from 1998 to 2012. It provides several case studies and some useful links which can serve as a starting point for interested researchers. In the appendix several computer code written in MatLab and VB.NET is also included for the interested reader. Lucid explosion of various techniques used to select and evaluate suppliers is one of the unique characteristic of this book. Moreover, this book gives in depth analysis of selection and evaluation of suppliers for traditional supply chain, closed loop supply chain, supply chain for customized product, green supply chain, sustainable supply chain and also depicts methods for supply base reduction and selection of large number of suppliers.

This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers.

This book contains the proceedings of the Seventh National Conference of the Italian Systems Society. The title, Systemics of Incompleteness and Quasi-Systems, aims to underline the need for Systemics and Systems Science to deal with the concepts of incompleteness and quasiness. Classical models of Systemics are intended to represent comprehensive aspects of phenomena and processes. They consider the phenomena in their temporal and spatial completeness. In these cases, possible incompleteness in the modelling is assumed to have a provisional or practical nature, which is still under study, and because there is no theoretical reason why the modelling cannot be complete. In principle, this is a matter of non-complex phenomena, to be considered using the concepts of the First Systemics. When dealing with emergence, there are phenomena which must be modelled by systems having multiple models, depending on the aspects being taken into consideration. Here, incompleteness in the modelling is intrinsic, theoretically relating changes in properties, structures, and status of system. Rather than consider the same system parametrically changing over time, we consider sequences of systems coherently. We consider contexts and processes for which modelling is incomplete, being related to only some properties, as well as those for which such modelling is theoretically incomplete-as in the case of processes of emergence and for approaches considered by the Second Systemics. In this regard, we consider here the generic concept of quasi explicating such incompleteness. The concept of quasi is used in various disciplines including quasi-crystals, quasi-particles, quasi-electric fields, and quasi-periodicity. In general, the concept of quasiness for systems concerns their continuous structural changes which are always meta-stable, waiting for events to collapse over other configurations and possible forms of stability; whose equivalence depends on the type of phenomenon under study. Interest in the concept of quasiness is not related to its meaning of rough approximation, but because it indicates an incompleteness which is structurally sufficient to accommodate processes of emergence and sustain coherence or generate new, equivalent or non-equivalent, levels. The conference was devoted to identifying, discussing and understanding possible interrelationships of theoretical disciplinary improvements, recognised as having prospective fundamental roles for a new Quasi-Systemics. The latter should be able to deal with problems related to complexity in more general and realistic ways, when a system is not always a system and not always the same system. In this context, the inter-disciplinarity should consist, for instance, of a constructionist, incomplete, non-ideological, multiple, contradiction-tolerant, Systemics, always in progress, and in its turn, emergent.

This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.

Peter Drucker's lively and thoughtful memoirs are now available in paperback with a new introduction by the author. He writes with wit and spirit about people he has encountered in a long and varied life, including Sigmund Freud, Henry Luce, Alfred Sloan, John L. Lewis, and Marshall McLuhan. After beginning with his childhood in Vienna during and after World War I, Drucker moves on to Europe in the 1920s and early 1930s, describing the imminent doom posed by Hitler and the Nazis. He then goes on to describe London during the 1930s, America during the New Deal era, the World War II years, and beyond. According to John Brooks of The New York Times Book Review, "Peter Drucker is at a corner cafe, delightfully regaling anyone who will listen with tales of what must be one of the more varied-and for a practitioner of such a narrow skill as that of management counseling, astonishing-of contemporary professional lives." Dorothy Rabinowitz of the Washington Post writes, "The famous are here as well as the infamous.... All are the beneficiaries, for better or for worse, of Drucker's unerring eye for psychological detail, his remorseless curiosity, and his imaginative sympathy.... Drucker's book appears in a stroke to have restored the art of the memoir and of the essay." Adventures of a Bystander reflects Drucker's vitality, infinite curiosity, and interest in people, ideas, and the forces behind them. His book is a personal and informal account of the rich life of an independent man of letters, a life that spans eight decades and two continents. It will be of interest to scholars and professionals in the business world, historians, sociologists, and admirers of Peter Drucker.

Successful engineering projects require a clear vision and long term strategy. Therefore, effective business initiatives have been applied to the engineering environment in order to enhance its management perspectives. Business Strategies and Approaches for Effective Engineering Management brings together the latest methodologies, principles, practices and tools for engineering management. By providing theoretical analysis and practical applications, this book is a useful reference for industry experts, researchers, and academicians regarding progressive strategies for successful management.

This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.

This book offers a case-study approach to stakeholder theory that moves beyond theoretical analysis to the applied. As stakeholder theory has moved into the mainstream of management thinking in business ethics and a number of the management disciplines, there is an increasing need to explore the subtleties of stakeholder engagement via examples from practice. The case studies in this volume explore a number of aspects of the idea of stakeholder engagement, via the method of clinical case studies. Edited by leading scholars in the field of business ethics and stakeholder theory, this text affords a solid grounding in theory, brought to new levels of applied understanding of stakeholder engagement.

The proceedings of the 2017 Symposium on Chaos, Complexity and Leadership illuminate current research results and academic work from the fields of physics, mathematics, education, economics, as well as management and social sciences. The text explores chaotic and complex systems, as well as chaos and complexity theory in view of their applicability to management and leadership. This proceedings explores non-linearity as well as data-modelling and simulation in order to uncover new approaches and perspectives. Effort will not be spared in bringing theory into practice while exploring leadership and management-laden concepts. This book will cover the analysis of different chaotic developments from different fields within the concepts of chaos and complexity theory. Researchers and students in the field will find answers to questions surrounding these intertwined and compelling fields.

This book provides an understanding of Business Continuity Management (BCM) implementation for local/international construction operations, with a primary focus on Indonesian construction firms as an illustrative example. It reviews the whole spectrum of work relating to organizational culture (OC) and the institutional framework (IF) as one of the key ways for companies to evaluate and implement BCM in construction operations. Once readers have acquired a sound understanding of BCM, OC and IF linkages in construction firms, the lessons learned can be extended to other companies. This is facilitated through a systematic assessment framework presented in the book using a Knowledge Based Decision Support System (BCM-KBDSS), which allows these companies to evaluate their current status quo with respect to BCM, OC and IF, and then make informed decisions on how and to what extent BCM should be implemented in their operations. As such, the book offers a unique blend of theory and practice, ensuring readers gain a far better understanding of BCM implementation in the construction industry.

The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for intractable problems of combinatorial optimization. A PSC-algorithm is an algorithm which includes: sufficient conditions of a feasible solution optimality for which their checking can be implemented only at the stage of a feasible solution construction, and this construction is carried out by a polynomial algorithm (the first polynomial component of the PSC-algorithm); an approximation algorithm with polynomial complexity (the second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient conditions were found, fulfilment of which during the algorithm execution turns it into a polynomial complexity algorithm. Practitioners and software developers will find the book useful for implementing advanced methods of production organization in the fields of planning (including operative planning) and decision making. Scientists, graduate and master students, or system engineers who are interested in problems of combinatorial optimization, decision making with poorly formalized overall goals, or a multiple regression construction will benefit from this book.

This book examines current and emerging challenges in manufacturing related to the ideal of developing production processes with variability and agility on one level of the system, combined with structures ensuring stability and robustness on another level; close to what by other scholars has been discussed in terms of continuous innovation. However, this ideal has proven to be difficult to achieve in practice, and there is a need for enhanced and more sophisticated theoretical models dealing with the complexity surrounding organizational conditions to foster incremental as well as radical change in production systems, and, at the same time to ensure stability over time. As a theoretical frame of reference, a perspective on change where conflicting demands and conflicting activities, e.g., exploration and exploitation, are seen as intertwined and interdependent, is used throughout the book. The ideal from this perspective is to make use of such conflicting forces and to develop the change dynamics by keeping them in the same social system, not to structurally separate them in different departments or different initiatives. The main purpose of the book is to address an increased need for quality improvement through innovation and disruptive change in production. Traditional theories and managerial models of production systems are developed with a focus on stability and improvement. There is a need for enhanced models to reach an ability to develop new future production systems. The goal of the book is to provide nuances and new perspectives giving more realistic models of the production system to be able to increase the change potentiality of the organization and thus the long-term competiveness. Learning and organizational perspectives are in focus as enablers to increase the understanding of a production system as such. Long-term competitiveness through adaptability and the potential for radical improvement is of importance throughout the book. The use of dualities and the concept of ambidextrous organizations as a frame of understanding is the innovative strength for this area.

This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and in the contexts of banking, environmental protection, system biology and medicine. The book provides necessary background information on multi-model regulatory networks, optimization and regression. It presents the theory of and approaches to robust (conic) multivariate adaptive regression splines - R(C)MARS - and robust (conic) generalized partial linear models - R(C)GPLM - under polyhedral uncertainty. Further, it introduces spline regression models for multi-model regulatory networks and interprets (C)MARS results based on different datasets for the implementation. It explains robust optimization in these models in terms of both the theory and methodology. In this context it studies R(C)MARS results with different uncertainty scenarios for a numerical example. Lastly, the book demonstrates the implementation of the method in a number of applications from the financial, energy, and environmental sectors, and provides an outlook on future research.

This book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. This includes the concept of nondominance, Simon's bounded rationality, Tversky and Kahneman's prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius. The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms. In essence, the book is a "one-stop" source on everything you need to know about managerial decision-making in the multiple-criteria setting.

Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book. The book focuses on the model formulation and modeling building skills, as well as the technology to support decision analysis. The authors cover many of the main techniques that have been incorporated into their three-course sequence in mathematical modeling for decision making in the Department of Defense Analysis at the Naval Postgraduate School. The primary objective of this book is illustrative in nature. It begins with an introduction to mathematical modeling and a process for formally thinking about difficult problems, illustrating many scenarios and illustrative examples. The book incorporates the necessary mathematical foundations for solving these problems with military applications and related military processes to reinforce the applied nature of the mathematical modeling process.

The field of real options is concerned with the management and financial valuation of operational flexibility in business endeavors. From the very outset, energy and commodity markets - which play fundamental roles in the worldwide economy - have provided a relevant context for real option analysis, both in theory and practice.This volume is a collection of six chapters covering recent research on real options in energy and commodity markets, reflecting the significance of these markets for real option analysis. The volume is divided into two parts - the first on theory and the second on methods and applications.The two chapters in the first part of the book respectively address commodity storage and the concept of convenience yield, and how the management of real options can be impacted by the trader's own market decisions in the context of commodity shipping.The four chapters in the second part of the book propose and apply real option models in various domains - modeling the evolution of futures prices of emission certificates; managing copper extraction illustrated with an application to a project at Codelco, Chile, the largest copper producer in the world; the core ideas behind real option analysis in the context of the merchant management of hydrocarbon cracking operations; and optimizing the portfolio of contracts that oil refineries use to market their gasoline production.

This book uses sound theoretical frameworks and econometric techniques to rigorously analyze and explain the conditions of sustainable growth in agriculture. It further investigates how management of natural resources and technological advances can enhance productivity and ensure sustainable growth in agriculture. Optimal control theory, dynamic optimization problems and theory of risk and uncertainty are extensively used to create theoretical models for analyzing agricultural growth. The results demonstrate that crop diversification, rainwater harvesting and the use of organic fertilizers can ensure growth in agriculture from a dynamic perspective. Further, they show how excessive depletion of ground water, intensive farming and overuse of chemicals in connection with the adoption of modern technology in agriculture have placed tremendous strains on natural resources like land and water, and have called into question the sustainability of growth in the farming sector.