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This book deals with behavioral responses of management of firms that make several decisions with respect to production, marketing, finance, organization of activities within divisions, and interrelations between divisions (including synergies between them and constraints placed on each other in the attainment of overall goals of the firm). The market conditions, that constitute the basis of such decisions, may be stable, random but predictable, or uncertain. It can be expected that objectives attained by the firm, as a result of decisions of management, may be different from the maximum which can be achieved. A generic conceptualization of such managerial discretion and operationally useful methods of measurement have been presented. It is possible to develop machine learning algorithms on this basis to minimize managerial discretion and assist managers in arriving at strategic decisions thereby leaving more resources to deal with uncertain events as they arise. The volume is a great resource not only for researchers, but also decision makers in corporates.

This book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem. The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioner¿s point of view. This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities.

This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study.The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice.The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Have you avoided arguments because you were afraid they would explode into a shouting match and threaten your most important relationships?What if you could speak your mind in an argument and not only win, but get people to like you more than they did before? How To Win Argument.Imagine going through life never fearing if a disagreement or conflict will come up. Because you know you can handle it. Imagine welcoming arguments as an opportunity. Not just to win, but to actually deepen and improve your relationships.Download this book today and discover:How to spot circular logic and nip it in the budHow to form credible arguments with sound reasoningHow to win every family argumentHow to spot appeals to emotion and counter themHow fallacies are used and abused in politicsFallacies used in gun legislationFallacies used in healthcareAnd much, much more!You can learn how and when to stand your ground without becoming "the bad guy" or losing face by relinquishing the ethical high ground.What you say is only a small portion of winning the argument. Learn how emotion and body language can make or break your well spoken position.

My invitation to all people I work with is to...Stop. Think. Reflect. Discuss.The act of stopping to think is (in my experience) the most underused and undervalued activity in modern professional life. Especially for those in leadership positions.But if we do get the chance to stop, it can be difficult to organise and make sense of our thinking. If a leader's job is to simplify the complex for their people, then how to simplify the complex for oneself?A calendarized journal with dates and space to write task lists is useful but limited. I tried to find one I could strategise with. A journal with specific guided questions to house all the relevant data for my team. I could not find one, so I created this journal with the brilliant designer Jansen Lye.Based on the principles of The Rhythm Effect my hope is this journal helps to propel you forward with clarity and power on your Leaders Journey.

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems. The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.

"Which way should I go?" That question, or some variation of it, is one all of us ask, almost every day. We live in uncertain times, and it seems like a new turn is always right around the corner. But which road to take? Which turn to make? Those are questions that have bedeviled poets and philosophers from time immemorial. Life is a twisting, turning road, and whether you're trying to decide which way to go for yourself, your family, your business, or your community, there is always some element of ambiguity regarding the best direction in which to head. When Robert Frost saw that two roads diverged in a yellow wood, he was sorry he couldn't travel both. None of us can.TURNS: Where Business Is Won and Lost takes a deep dive into the physical, historical, and metaphorical nature of turns through the lenses of science, history, politics, sports, and more. While no book can point the way regarding specific crossroads to which you may come, this one can help you make better decisions based on eight insightful principles that all turns have in common. Nothing can move in a straight line forever, so turns, by nature, are about limits. But they're also about overcoming limits. Finding new roads. Discovering new directions. One way to think about life itself is that it's fundamentally about knowing when, where and how to turn-turning questions into answers, problems into solutions, and people, circumstances, and situations around-without careening into a ditch. TURNS will help you better know which way to go when you come to those forks in the road.

Are "dangers and obstacles" becoming the "great wall of china"? Would you like a "breakthrough," "get unstuck" and discover how to "consistently thrive" in those elements in 4 weeks? Would you like to double your business this year and become the only one at what you do with a proven step-by-step system?In this book, you will discover: ¿ How to utilize your obstacles as a blessing in disguise¿ How to proactively identify dangers and have an army of fire extinguishers ready.¿ How to make you and your team optimally productive.¿ Six proven "leap" strategies. ¿ Access to a proprietary system.You will also: ¿ Build your customized takeaways.¿ Get insights that cater to your bottom line. ¿ Illustrations to connect all the concepts.¿ True success stories. ¿ FREE Video Training.¿ FREE tools and resources.Building sustainable pioneers.

A straightforward and personal guide to managingand organizing small and large research groupsMANAGING SCIENCE: A Practical Guide aims to contribute specific advice and lived experience to all leaders of research projects. The book touches on the most important steps in the research process, and it covers, among other things, how to develop the best ideas, generate hypotheses, apply for funding, hire the most competent employees, and publish successful articles. In addition, the book presents different approaches to leadership and organising both small and large research groups.In this book, writer and researcher Torben F. Ørntoft has interviewed 18 successful professorsand research leaders from Denmark, England, Finland, and Sweden who have contributed their input on the structure and management of the ideal research group. Additionally, Ørntoft has drawn on his own experience as a leader of a large Danish research group.Torben F. Ørntoft, M.D.-Ph.D. (born 1953) is specialised in clinical biochemistry. From 1996-2017, he was chief physician and head of department at Aarhus University Hospital, first for The Department of Clinical Biochemistry, and then for The Department of Molecular Medicine. He became a Professor of Molecular Medicine at Aarhus University in 1999.

HÅNDBOG I FORSKNINGSLEDELSE sigter efter at bidrage med konkrete råd og levet erfaring til alle ledere af forskningsprojekter. Bogen berører de vigtigste trin i forskningsprocessen og kommer blandt andet ind på idéudvikling, generering af hypoteser, fondsansøgningsprocessen, ansættelse af medarbejdere, organisering af små og store forskergrupper, ledelsesstil og publicering af artikler.Forfatter og forsker Torben F. Ørntoft har i denne bog interviewet 18 succesfulde professorer og forskningsledere både fra Danmark, England, Sverige og Finland, som er kommet med deres indspark til opbygningen og ledelsen af den ideelle forskergruppe. Ørntoft har ligeledes trukket på sin egen erfaring som leder af en stor forskergruppe.Torben F. Ørntoft (f. 1953) er læge og dr.med. Han er speciallæge i klinisk biokemi og var i årene 1996-2017 ledende overlæge på Aarhus Universitetshospital, først for Klinisk Biokemisk Afdeling og senere for Molekylær Medicinsk Afdeling. I 1999 blev han professor ved Aarhus Universitet i molekylær medicin.

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.