This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.

Neuroeconomics has emerged as a field of study with the goal of understanding the human decision-making process and the mental consideration of multiple outcomes based on a selected action. In particular, neuroeconomics emphasizes how economic conditions can impact and influence the decision-making process and alternately, how human actions have the power to impact economic conditions. Neuroeconomics and the Decision-Making Process presents the latest research on the relationship between neuroscience, economics, and human decision-making, including theoretical foundations, real-world applications, and models for implementation. Taking a cross-disciplinary approach to neuroeconomic theory and study, this publication is an essential reference source for economists, psychologists, business professionals, and graduate-level students across disciplines.

This book addresses new concepts, methods, algorithms, modeling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, linear problems and new information related to optimization for the topic from the theoretical and applied viewpoints of neutrosophic sets and logic. The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical Tests and Dependent State Samplings, Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and Spherical and Cubic Neutrosophic Numbers used in machine learning. It highlights the process of neutrosofication {which means to split the universe into three parts, two opposite ones (Truth and Falsehood), and an Indeterminate or neutral one (I) in between them}. It explains Three-Ways Decision, how the universe set is split into three different distinct areas, in regard to the decision process, representing: Acceptance, Noncommitment, and Rejection, respectively. The Three-Way Decision is used in the Neutrosophic Linguistic Rough Set, which has never been done before.

Artificial Intelligence is a seemingly neutral technology, but it is increasingly used to manage workforces and make decisions to hire and fire employees. Its proliferation in the workplace gives the impression of a fairer, more efficient system of management. A machine can't discriminate, after all. Augmented Exploitation explores the reality of the impact of AI on workers' lives. While the consensus is that AI is a completely new way of managing a workplace, the authors show that, on the contrary, AI is used as most technologies are used under capitalism: as a smokescreen that hides the deep exploitation of workers. Going beyond platform work and the gig economy, the authors explore emerging forms of algorithmic governance and AI-augmented apps that have been developed to utilise innovative ways to collect data about workers and consumers, as well as to keep wages and worker representation under control. They also show that workers are not taking this lying down, providing case studies of new and exciting form of resistance that are springing up across the globe.

What causes one system to break down and another to rebound? Are we merely subject to the whim of forces beyond our control? Or, in the face of constant disruption, can we build better shock absorbers--for ourselves, our communities, our economies, and for the planet as a whole?
Reporting firsthand from the coral reefs of Palau to the back streets of Palestine, Andrew Zolli and Ann Marie Healy relate breakthrough scientific discoveries, pioneering social and ecological innovations, and important new approaches to constructing a more resilient world. Zolli and Healy show how this new concept of resilience is a powerful lens through which we can assess major issues afresh: from business planning to social develop-ment, from urban planning to national energy security--circumstances that affect us all.
Provocative, optimistic, and eye-opening, Resilience sheds light on why some systems, people, and communities fall apart in the face of disruption and, ultimately, how they can learn to bounce back.

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

This volume is the imaginative outcome of several international strategy scholars who have cultivated original research on the broad relationship between strategic capabilities and knowledge transfer at both intra- and inter-organizational levels. This innovative book explores, in depth, the role that strategic capabilities play in facilitating or preventing knowledge transfer in both firm and interfirm environments. As regards the relationships between strategic capabilities and the transfer of knowledge, the research encompasses different levels of analysis (e.g., the firm, the interorganizational network, the industry), different theoretical lenses (e.g., the resource-based view, the knowledge-based view, the evolutionary perspective, transaction cost economics, the cognitive theory) and different methodological stances (conceptual, empirical, case based). Strategic Capabilities and Knowledge Transfer Within and Between Organizations is an illuminating and cohesive book which will appeal to scholars and researchers of management and business strategy as well as practitioners such as managers and consultants.

This book presents a rich collection of studies on the analysis of sustainable development from a multiple criteria decision-making (MCDM) perspective, written by some of the most prominent authors in the field of MCDM/A. The book constitutes a unique international reference guide to the analysis, measurement, and management of sustainability in a multidimensional decision analysis context. Chiefly intended for academics and policymakers, it reflects some of the latest methodological advances in decision-making, which are illustrated in real-life applications to sustainability-related topics in both the private and public sector.

In his book Leaving a Legacy: Navigating Family Businesses Succession author David C. Bentall shares family business insights gleaned from 20 years of working with The Bentall Group and Dominion Construction especially as they relate to the challenges of family business succession. Skillfully marrying his own experience with best practices in the field, he offers solutions to the distinct challenges faced by all families in business. Practical examples are also included from prominent entrepreneurial business families from across North America. Each of the following families share successful strategies for succeeding in family business: Practical examples are also included from the following prominent entrepreneurial business families from across North America: Peter Armstrong of Rocky Mountaineer, Victor Bachechi of Carlo Inc., Keith & Ryan Beedie of Beedie Development Group, Murray Berstein of Nixon Uniform Service and Medical Wear, Jay Bornstein of Bornstein Seafoods, DJ Devries of Newton Omniplex, Ashleigh Everett of Royal Canadian Properties, Karen & Charles Flavelle of Purdy's Chocolates, Ken Finch & Robert Foord of Kal Tire, Paul & Michael Higgins of Mother Parkers Tea and Coffee, Richard Ivey of Ivey Foundation, Greg Kuykendall of Kuykendall Hearing Aid Center, Peter Legge of Canada Wide Media, Stuart McLaughlin of Grouse Mountain Resorts, David McLean of The McLean Group, Jack McMillan of Nordstrom, Paul Melnuk of FTL Capital Partners, Dave Miller of Fix Auto, Larry Rosen of Harry Rosen, Greg Simpson of Simpson Seeds Inc., Jane Tidball of Thunderbird Show Park, Bill Yeargin (Meloon Family) of Correct Craft.

Entrepreneurs and innovators are trained to run fast, but...Are you running in the right direction?

Choosing the right market for your innovation is the biggest, and trickiest, question for innovators. Research has shown that all too often entrepreneurs don’t spend enough time researching their opportunities – instead they jump at the first opportunity that looks good, and fail to properly evaluate and leverage other opportunities. These common mistakes mean that you often choose the wrong market or attempt to pursue too many opportunities at once.

Where to Play helps you to set a promising strategy, by giving a clear, structured and practical framework- the Market Opportunity Navigator- to better identify, evaluate and focus on the right market opportunities. With three dedicated and reusable worksheets covering:

1.Market Opportunity Set – assess your core strengths and identify which market opportunities exist for your business

2.Attractiveness Map – evaluate your market opportunities to reveal the most attractive option for focus

3.Agile Focus Strategy – create a strategic plan for your chosen market opportunity that keeps you open-minded and agile

Get the most value for your innovations with Where to Play.