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Logistics Outsourcing Relationships : Measurement, Antecedents, and Effects of Logistics Outsourcing Performance
In recent years, logistics outsourcing has gained increasing importance and today is used by a large number of firms across virtually all industries worldwide. Logistics service providers have developed a wide array of services that are utilized to improve logistics processes - and mainly to cut costs.This book uses state-of-the-art scientific methods to reveal that most firms currently do not realize the full potential of logistics outsourcing. It shows the complexity of outsourcing performance and that its true drivers lie in the relationship between service providers and their customers. Through the results of a large-scale empirical survey, the book also emphasizes the importance of a firm's approach towards outsourcing: solely striving for cost reductions may be a dead end, while the often overlooked increased logistics service levels are equally important for boosting logistics performance. In the light of current outsourcing practices, this indicates substantial room for improvement for most firms.
Linear Programming and its Applications
This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered along with a variety of approaches that incorporate multiple objectives in the model.
Leading Pharmaceutical Innovation : Trends and Drivers for Growth in the Pharmaceutical Industry
Pharmaceutical giants have doubled their investments in drug development in the past decade only to see new drug approvals remain constant. This book investigates and highlights a set of proactive strategies aimed at generating sustainable competitive advantage based on value-generating business practices. We focus on three sources of pharmaceutical innovation: new management methods in the drug development pipeline, new technologies as enablers for cutting-edge R&D, and new forms of cooperation and internationalization, such as open innovation in the early phases of R&D. Our findings are illustrated by cases from Europe, the US, and Asia.
Knowledge Solutions : Tools, Methods, and Approaches to Drive Organizational Performance
Covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness.
Knowledge Networks for Business Growth
Companies are constantly searching for new ways of creating higher profit and a larger market share. Growth seems to be the most appropriate tactic for surviving economically in difficult times. New instruments and methods as a support to a company’s growth strategy can be essential in gaining a competitive advantage. Knowledge management is one of the answers to this challenge. It can support strategic goals such as the improvement of efficiency, the minimization of risk and an increase in innovation, but also has inherent potentials which have not been leveraged yet.
Kanban-Controlled Manufacturing Systems
Kanban control systems bear a great potential to significantly improve operations. A company may reap the full benefits of kanban control only after determining an optimal or near-optimal system configuration. To do that, methods are needed to evaluate the performance and operating costs of individual system configurations. We propose an innovative construction-kit approach that enables us to build stochastic analytical models of a large class of single- and multi-product kanban systems. The presented construction-kit approach may be extended and augmented in various directions
Complexity and Artificial Markets
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision making, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences.
Complex Scheduling
This book deals with such complex scheduling problems and methods to solve them. It consists of three parts: The ?rst part (Chapters 1 and 2) contains a description of basic scheduling models with applications and an introduction into discrete optimization (covering complexity, shortest path algorithms, linear programming, network ?ow algorithms and general optimization methods). In the second part (Chapter 3) resource-constrained project scheduling problems are considered. Especially, methods like constraint propagation, branch-a- bound algorithms and heuristic procedures are described. Furthermore, lower bounds and general objective functions are discussed.
Competition in Marketing : Two Essays on the Impact of Information on Managerial Decisions and on Spatial Product Differentiation
In her first essay Vera Magin uses primary experimental data to explore the effects of information on marketing decisions, performance, and competition. In her second essay the author discusses several approaches to measure product differentiation in spatial contexts. In doing so, she refers to the measurement of diversity and also applies methods from disciplines like spatial statistics, forestry, and geography.
Company Tax Reform in the European Union : Guidance from the United States and Canada on Implementing Formulary Apportionment in the EU
This book is important reading for both tax policymakers and business leaders. It breaks the mold of conventional thinking by demonstrating that formulary apportionment is a practical way to solve the income-allocation problems confronting the European Union. Equally important, the book gives the advocates of arm’s-length allocation methods some challenging food for thought.
Business statistics : Communicating with numbers
Takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. this title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. the authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. this title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapt.
Business Ethics : Methods and Application
Business Ethics: Methods and Application provides a new systematic approach to normative business ethics that covers the complex and various ethical challenges of modern business.
Business Education and Emerging Market Economies : Perspectives and Best Practices
Business Education in Emerging Market Economies discusses the impact of business education on emerging markets and explores curricular innovation, pedagogical approaches, and strategic alliances in the context of industrializing economies. Emerging markets consist of eighty percent of the world's population and some 75% of its trade growth in the foreseeable future according to the U.S. Department of Commerce. The potential economic growth of emerging markets has prompted a need to understand the dynamics of these markets, their business institutions, and their educational systems. The pressures of globalization and the recent economic reforms that swept across emerging, developing, and transitioning, economies have had a positive impact on the demand for business education and business knowledge from the developed and industrialized countries. As a result, many methods were developed to transfer know-how from the developed markets including learning through imitation, using western style pedagogical approaches, attending universities in industrialized countries, learning through experience and practice, and using information technology. The conclusion we reach is that business and management education in emerging markets is fast changing the way in which these markets operate and are perceived – business educators are catalysts for greater economic integration.
Blockchain and crypto currency : Building a high quality marketplace for crypto data
This book contributes to the creation of a cyber ecosystem supported by blockchain technology in which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of permanent data can be stored on the Internet in a decentralized manner.
Big Data Science in Finance
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides
Artificial markets modeling : Methods and applications
Agent-based computational modeling with its intrinsic multidisciplinary approach is gaining increasing recognition in the social sciences, particularly in economics, business and finance. This volume is devoted to recent contributions to the field from both the social sciences and computer sciences.
Artificial economics : Agent-based methods in finance, game theory and their applications
The purpose of this book is to give an up-to date view of the scientific production in the fields of Agent-based Computational Economics (mainly in Market Finance and Game Theory). Based on communications given at AE'2005 (Lille, USTL, France), this book offers a wide panorama of recent advances in ACE (both theoretical and methodological) that will interest academics as well as practitioners.
ARIS design platform : Getting started with BPM
Containing tips, techniques and short cuts gained from practical experience, this book show how to use ARIS in an easy way, supporting smart methods and smart models, and displays how ARIS can be used as a powerful tool for BPM.
Applied Research in Uncertainty Modeling and Analysis
For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.
Applications of simulation methods in environmental and resource economics
Simulation methods are revolutionizing the practice of applied economic analysis. This volume collects eighteen chapters written by leading researchers from prestigious research institutions the world over. The common denominator of the papers is their relevance for applied research in environmental and resource economics. The topics range from discrete choice modeling with heterogeneity of preferences, to Bayesian estimation, to Monte Carlo experiments, to structural estimation of Kuhn-Tucker demand systems, to evaluation of simulation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods.
