How do companies use location intelligence to achieve competitive advantage and business success? We live in a digital, global economy, and businesses need to know where to source, operate, and market to grow their customer base. Through location analytics and location intelligence, a business can make better-informed decisions and ultimately add value to their organization, their customers, and society. But how do businesses integrate location analytics into their business development, marketing, and operations? Spatial Business: Competing and Leading with Location Analytics examines how location is a key factor in intelligent business decisions and achieving success. Through varied, in-depth, real-world examples, readers learn how location analytics solutions can be designed, deployed, and managed from strategic and operational perspectives. Each chapter of Spatial Business examines how real companies have integrated location into their business intelligence and decision-making. Some key concepts include: The fundamentals of spatial business and the technologies and methods by which businesses can understand the location value chain The creation of spatial business architecture to facilitate location analytics in meeting business goals and needs The themes of spatial business and implications for practice Written by experts in spatial business and designed for managers, professionals, and students at all levels, Spatial Business provides a road map for realizing the potential of geospatial data across the entire business value chain.

This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of 'productivity analysis/data envelopment analysis' and 'data science/big data'. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naive Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.

Resilient people are happier, healthier, and more productive. Psychologist and business writer Adrian Furnham takes a sideways and entertaining look at the challenges of being a leader, demonstrating how resilience can be honed, developed, and used as a personal life raft to keep afloat in the face of adversity.

1. Introduction to Bayesian Methods in Reliability.- 1. Why Bayesian Methods?.- 1.1 Sparse data.- 1.2 Decision problems.- 2. Bayes' Theorem.- 3. Examples from a Safety Study on Gas transmission Pipelines.- 3.1 Estimating the probability of the development of a big hole.- 3.2 Estimating the leak rate of a gas transmission pipeline.- 4. Conclusions.- References.- 2. An Overview of the Bayesian Approach.- 1. Background.- 2. Probability Concepts.- 3. Notation.- 4. Reliability Concepts and Models.- 5. Forms of Data.- 6. Statistical Problems.- 7. Review of Non-Bayesian Statistical Methods.- 8. Desiderata for Decision-Oriented Statistical Methodology.- 9. Decision-Making.- 10. Degrees of Belief as Probabilities.- 11. Bayesian Statistical Philosophy.- 12. A Simple Illustration of Bayesian Learning.- 13. Bayesian Approaches to Typical Statistical Questions.- 14. Assessment of Prior Densities.- 15. Bayesian Inference for some Univariate Probability Models.- 16. Approximate Analysis under Great Prior Uncertainty.- 17. Problems Involving many Parameters: Empirical Bayes.- 18. Numerical Methods for Practical Bayesian Statistics.- References.- 3. Reliability Modelling and Estimation.- 1. Non-Repairable Systems.- 1.1 Introduction.- 1.2 Describing reliability.- 1.3 Failure time distributions.- 2. Estimation.- 2.1 Introduction.- 2.2 Classical methods.- 2.3 Bayesian methods.- 3. Reliability estimation.- 3.1 Introduction.- 3.2 Binomial sampling.- 3.3 Pascal sampling.- 3.4 Poisson sampling.- 3.5 Hazard rate estimation.- References.- 4. Repairable Systems and Growth Models.- 1. Introduction.- 2. Good as New: the Renewal Process.- 3. Estimation.- 4. The Poisson Process.- 5. Bad as old: the Non-Homogeneous Poisson Process.- 6. Classical Estimation.- 7. Exploratory Analysis.- 8. The Duane Model.- 9. Bayesian Analysis.- References.- 5. The Use of Expert Judgement in Risk Assessment.- 1. Introduction.- 2. Independence Preservation.- 3. The Quality of Experts' Judgement.- 4. Calibration Sets and Seed Variables.- 5. A Classical Model.- 6. Bayesian Models.- 7. Some Experimental Results.- References.- 6. Forecasting Software Reliability.- 1. Introduction.- 2. The Software Reliability Growth Problem.- 3. Some Software Reliability Growth Models.- 3.1 Jelinski and Moranda (JM).- 3.2 Bayesian Jelinski-Moranda (BJM).- 3.3 Littlewood (L).- 3.4 Littlewood and Verrall (LV).- 3.5 Keiller and Littlewood (KL).- 3.6 Weibull order statistics (W).- 3.7 Duane (D).- 3.8 Goel-Okumoto (GO).- 3.9 Littlewood NHPP (LNHPP).- 4. Examples of Use.- 5. Analysis of Predictive Quality.- 5.1 The u-plot.- 5.2 The y-plot, and scatter plot of u's.- 5.3 Measures of 'noise'.- 5.3.1 Braun statistic.- 5.3.2 Median variability.- 5.3.3 Rate variability.- 5.4 Prequential likelihood.- 6. Examples of Predictive Analysis.- 7. Adapting and Combining Predictions; Future Directions.- 8 Summary and Conclusions.- Acknowledgements.- References.- References.- Author index.

The encounter, in the late seventies, between the theory of triangular norms, issuing frorn stochastic geornetry, especially the works of Menger, Schweizer and Sklar, on the one band, and the theory of fuzzy sets due to Zadeh, 10n the other band has been very fruitful. Triangular norms have proved to be ready-rnade mathematical rnodels of fuzzy set intersections and have shed light on the algebraic foundations of fuzzy sets. One basic idea behind the study of triangular norms is to solve functional equations that stern frorn prescribed axioms describing algebraic properties such as associativity. Alternative operations such as rneans have been characterized in a similar way by Kolmogorov, for instance, and the rnethods for solving functional equations are now weil established thanks to the efforts of Aczel, among others. One can say without overstaternent that the introduction of triangular norms in fuzzy sets has strongly influenced further developrnents in fuzzy set theory, and has significantly contributed to its better acceptance in pure and applied rnathematics circles. The book by Fodor and Roubens systematically exploits the benefits of this encounter in the- analysis of fuzzy relations. The authors apply functional equation rnethods to notions such as equivalence relations, and various kinds of orderings, for the purpose of preference rnodelling. Centtal to this book is the rnultivalued extension of the well-known result claiming that any relation expressing weak preference can be separated into three cornponents respectively describing strict preference, indifference and incomparability.

This business book is great for leaders, middle managers and entrepreneurs interested in the following categories; STRATEGY, LEADERSHIP AND MANAGEMENT, ENTREPRENEURSHIP

Choose from the seven value plays to set the broad direction the firm should head in, and gain your competitive advantage. Each play has an associated set of capabilities which deliver customer value efficiently:

SPECIALIZATION - choose to focus on a single product or product group and compete through superior product performance.

ADAPTIVE - increase the system’s ability to respond to changing circumstances, particularly to changing customer needs.

LOW COST - Deliver equivalent product quality compared to competitors but with a continual and relentless focus on cost reduction

INNOVATION - Competing through product innovations.

EXCELLENCE - Continuous incremental improvement of product or service quality

NO-FRILLS - Serve price sensitive customers with a stripped down alternative product or service.

TARGETING - Focus on a specific market segment and serve the needs of these customers more effectively than less targeted rivals.

Built on insights from research into economics, strategy, organization theory and complexity science, you’ll discover a practical approach to creating value for your business in turbulent times, with advice on how to enable these plays with the structures, systems and culture of your business.

This book has resulted from the activities of IFAC TC 5.2 "Manufacturing Modelling for Management and Control". The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques' applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.

YOUR COMPLETE GUIDE TO STRATEGY. PLAIN AND SIMPLE. The Financial Times Guide to Strategy is your unbeatable reference on strategy. It offers an incisive overview of both corporate level and business unit level strategy, an A to Z of the world's leading strategic thinkers and introduces the key strategic tools and techniques you need to develop your own strategy. Based on long experience and on conversations with leading strategists around the world, Richard Koch helps you discover each critical step in creating, delivering and understanding successful strategy. The fifth edition of this bestselling book is your easy-to-read, jargon-free guide to the strategic models and thinkers you really need to know about. Updated with new tools and examples, The Financial Times Guide to Strategy shows you which questions to ask, how to go about answering them, and then what action to take. This is the smartest and most readable strategy guide available anywhere.

High-value talent management must be relevant to today's workplace Misplaced Talent takes a hard look at the cluttered field of Talent Management, and offers a clear guide to making better people decisions in any organization. Deliberately challenging practitioners to do more, this insightful discussion sorts through the tools and techniques developed over the last century to examine their true relevance to the modern workplace. You'll learn which activities show the greatest potential to improve the lives of employees and the organizations they work for, and identify which of your existing practices don't really add enough value to be worth the expenditure of time, money, and potentially lost talent. The author asks you to make up your own mind about which approaches work best for your own specific talent decisions, but provides the best theory and practice available today as a foundation upon which to formulate a more relevant strategy. In a world of big data, the potential to understand employees and react appropriately has never been greater. So why is Talent Management as an industry relying on outdated theory and practices? This book is a guide to bringing HR up to date, giving you the tools, techniques, and perspective you need to demonstrate more value to your organization. * Adopt the tools and techniques most effective in today's workplace * Identify and discard methods that don't add value to the organization * Implement critical changes that can transform the HR function * Make better people decisions based on psychology and research Fundamentally, not much has changed in what constitutes good people practice. Practitioners must demonstrate the value of Talent Management, but the solutions implemented often fall short of the rigor and discipline they deserve. Misplaced Talent provides the insight you need to refocus attention and engage your organization about the value of better people decisions.

This book examines Foreign Direct Investment of major Korean automotive companies in Europe, with particular reference to how economic integration has affected the motivations and patterns of FDI and industrial location. The book is a valuable source of information on FDI, the automobile industry in Europe and South Korea and business decision-making process in general.

This book provides research results and shares experiences in the area of supply chain management. It addresses topics such as risk reduction of lesser marginal profits, disrupted supply chain management, and potential points of business failure. This book explores the "new normal" of the business supply chain. The didactic approach informs global enterprises on how to deal with the most significant issues in the current supply chain management. The book shows an in-depth analysis of post-COVID opportunities and challenges and acts as an initiative for readers to understand the risks, opportunities, and concerns resulting from the pandemic situation and is a key driver for business management among industry professionals and enterprises. Readers will learn new insights and procedures to better manage multitier supply chains, predictability, and estimation of binding capacity. The book details modeling and technology-based customer demand and response management solutions. New techniques, methods, and perspectives dealing with the estimation, acceleration or deceleration, and flexibility of logistics capacity are particularly emphasized throughout the manuscript. Real-world cases dealing with various aspects of the new normal for supply chains are analyzed. The book is useful for industry professionals and enterprise firms in business management to effectively understand risks, opportunities, and concerning the pandemic situation.

Working through 7 practical steps, you will be able to identify and reduce your biggest risks so you can get evidence-based confidence to move forward:

• Do you have a new product or business idea but don’t know where to start?
• Do you want to know if your idea works before you’ve wasted too much time or money?
• Do you want to harness the power of lean thinking to move quicker and faster?

Inquiring Organizations: Moving from Knowledge Management to Wisdom' assembles into one volume a comprehensive collection of the key current thinking regarding the use of C. West Churchman's Design of Inquiring Systems as a basis for computer-based inquiring systems design and implementation. Inquiring systems are systems that go beyond knowledge management to actively inquire about their environment. While self-adaptive is an appropriate adjective for inquiring systems, they are critically different from self-adapting systems as they have evolved in the fields of computer science or artificial intelligence. Inquiring systems draw on epistemology to guide knowledge creation and organizational learning. As such, we can for the first time ever, begin to entertain the notion of support for wise"" decision-making. Readers of ""Inquiring Organizations: Moving from Knowledge Management to Wisdom"" will gain an appreciation for the role that epistemology can play in the design of the next generation of knowledge management systems, systems that focus on supporting wise decision-making processes.

What do you do when the algorithm doesn't have the answer? Countless tools and frameworks claim to make decisions objective and bias-free. But in reality, the defining decisions that leaders face are complex ones with subjective information sources and conflicting courses of action. That's why the toughest choices are left to the leaders, and that's why formulas won't answer them. In Difficult Decisions: How Leaders Make the Right Call with Insight, Integrity, and Empathy, leadership expert and CEO of YSC Consulting, Eric Pliner, delivers a set of practical tools for readers to make sense of these complex, subjective decisions quickly and with integrity. It presents a path to understanding your own subjectivity, and how your morals, ethics, and responsibilities affect how leaders make the most important decisions. Difficult Decisions is ideal for executives, managers, and business leaders to examine their own intuition and navigate the most conflicted choices they make. It's a challenging read and an indispensable resource to help readers develop self-reflection, clarify their values, and ultimately make the choice that is most "right" to them.

Highly Commended Award - People, Culture & Management Book at the 2022 Business Book Awards The Performance Management Playbook takes the stress out of managing people. This practical book coversthe must-have conversations from daily feedback to annual pay reviews; from dealingwith poor performance to setting challenging expectations. With 15 conversation guides to improve yourconfidence in managing performance, numerous activities to make you and yourteam less stressed, happier and more productive, as well as toolkits to helpyou improve performance now, no matter what appraisal process your organisationhas in place, this book makes it easy to dip in and develop great performanceconversations specific to the challenges you face. Learn from 25 real world examples: from global and local organisations; from 100employees to over a million; from sectors as varied as financial services,transport, technology, central and local government, TV production, mining,healthcare and construction. The Performance Management Playbook will help you move from anxiety-ridden one-off appraisals to morerewarding regular and meaningful conversations about performance.

Aiding Decisions With Multiple Criteria: Essays in Honor of Bernard Roy is organized around two broad themes: * Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling, * Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. GBP/LISTGBP Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and concepts in Graph Theory in order to cope with complex real-world problems. Part two of the book is devoted to Philosophy and Epistemology of Decision-Aiding with contributions from Valerie Belton & Jacques Pictet and Jean-Luis Genard & Marc Pirlot. Part three includes contributions based on Theory and Methodology of Multi-Criteria Decision-Aiding based on a general framework for conjoint measurement that allows intrasitive preferences. Denis Bouyssou & Marc Pirlot; Alexis Tsoukias, Patrice Perny & Philippe Vincke; Luis Dias & Joao Climaco; Daniel Vanderpooten; Michael Doumpos & Constantin Zopounidis; and Marc Roubens offer a considerable range of examinations of this aspect of MCDA. Part four is devoted to Perference Modeling with contributions from Peter Fishburn; Salvatore Greco, Benedetto Matarazzo & Roman Slowinski; Salem Benferhat, Didier Dubois & Henri Prade; Oscar Franzese & Mark McCord; Bertrand Munier; and Raymond Bisdorff. Part five groups Applications of Multi-Criteria Decision-Aiding, and Carlos Henggeler Antunes, Carla Oliveira & Joao Climaco; Carlos Bana e Costa, Manuel da Costa-Lobo, Isabel Ramos & Jean-Claude Vansnick; Yannis Siskos & Evangelos Grigoroudis; Jean-Pierre Brans, Pierre Kunsch & Bertrand Mareschal offer a wide variety of application problems. Finally, Part six includes contributions on Multi-Objective Mathematical Programming from Jacques Teghem, Walter Habenicht and Pekka Korhonen.

This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field. By covering the established streams in MCDA research and simultaneously exploring new and emerging areas of application, it offers a unique reference resource for the future development of MCDA. The book approaches MCDA as one of the most active areas in operations research and management science (OR/MS). It presents not only the significant advances achieved to date, but also the new opportunities and challenges arising for both the theory and practice of MCDA. Among many others, the book addresses behavioral and conceptual aspects of decision aiding and decision making, problem structuring issues in the framework of new technological and socio-economic advances, methodological and algorithmic advances for analytical modeling and decision aiding, as well as a number of new application areas in engineering, business, and the social sciences.

What can managers in today's uncertain, unimaginably complex world learn from President Obama and top Chinese executives? Charles-Edouard Bouee proposes "light footprint" management - comparable to a new American military doctrine and similar to a recently emerged Chinese management style that subordinates strategy to vision and tactics. Bouee explains how conventional management methodologies, techniques and tools can be adapted to the conditions of an increasingly ambiguous and apparently unmanageable world. "Light Footprint Management" explains the dynamics of the new business environment and describes the kinds of organization most likely to succeed in it.

This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.

Imagine a world with great leadership. What would that world be like? Would it be a better world or a worse one? Now ratchet great leadership up to exceptional leadership and suddenly we have cause for optimism. But how do we design exceptional leadership, and would we even know it if we saw it? Traditional paradigms of leadership have celebrated decisive top-down control and analytical decision-making. But times are changing. The world is more connected, complex, fluid and interdependent. This book debunks the myth that leaders need to be creative like designers to apply Design Thinking. Applying design approaches and practices to organizational leadership is not just about its leaders becoming more creative. It is definitely not about the person at the top coming up with the grand answer. Design thinking starts with the 'pain point' related to the problem you are trying to solve. You get to the heart of the issue. It is a collaborative effort that neatly leads stakeholders and representatives affected by the problem to design novel leadership solutions that actually work. This collection of stories, examples and narratives about exceptional leadership by design provides readers of all levels of experience with tangible, real, and heartfelt examples of how the design process can be applied to leadership. It will show how we: Inform great leadership with design Strengthen our own leadership by design Redesign hero leadership for more inclusivity Redesign organizations for Fe+Male leadership synergy Design leadership for a VUCA world Design flow-based leadership Design organizations that build resilient leadership Design leadership for innovation Design culturally intelligent leadership Build leadership into our spaces and places

Reinforce your understanding of CCEA A2 Unit 1: Strategic decision making and improve your exam technique for the CCEA A2 Unit A assessment. Packed full of clear topic summaries, knowledge check questions and sample exam-style questions and answers with commentaries, this guide will help you aim for and achieve the highest grades. This Student Guide will help you to: - Identify key content for the exams with our concise coverage of topics - Avoid common pitfalls with clear definitions and exam tips throughout - Reinforce your learning with bullet-list summaries at the end of each section - Test your knowledge with rapid-fire knowledge check questions and answers - Find out what examiners are looking for with our Questions & Answers section