Complex problem solving is the core skill for 21st Century Teams Complex problem solving is at the very top of the list of essential skills for career progression in the modern world. But how problem solving is taught in our schools, universities, businesses and organizations comes up short. In Bulletproof Problem Solving: The One Skill That Changes Everything you'll learn the seven-step systematic approach to creative problem solving developed in top consulting firms that will work in any field or industry, turning you into a highly sought-after bulletproof problem solver who can tackle challenges that others balk at. The problem-solving technique outlined in this book is based on a highly visual, logic-tree method that can be applied to everything from everyday decisions to strategic issues in business to global social challenges. The authors, with decades of experience at McKinsey and Company, provide 30 detailed, real-world examples, so you can see exactly how the technique works in action. With this bulletproof approach to defining, unpacking, understanding, and ultimately solving problems, you'll have a personal superpower for developing compelling solutions in your workplace. Discover the time-tested 7-step technique to problem solving that top consulting professionals employ Learn how a simple visual system can help you break down and understand the component parts of even the most complex problems Build team brainstorming techniques that fight cognitive bias, streamline workplanning, and speed solutions Know when and how to employ modern analytic tools and techniques from machine learning to game theory Learn how to structure and communicate your findings to convince audiences and compel action The secrets revealed in Bulletproof Problem Solving will transform the way you approach problems and take you to the next level of business and personal success.

Commons are self-organized, self-governed, autonomous networks and organizations that function outside the state and the private sector. They are emerging around the world as people recognize that the state and private sector have increasingly closed off access to basic resources and services. People want increased power to determine their political, economic, and social lives. Reimagining Leadership on the Commons includes leadership approaches derived from a complex, adaptive, open, whole systems perspective and a more relational, distributed, and collaborative paradigm that recognizes that rather than being individualist self-maximizers: people prefer to work together to share benefits and found a society based on ethical behavior, equality, and justice. This is essential reading for researchers of commons, leadership practitioners, and non-profits working towards a more ethical, equitable, and just world.

Leaders and Managers want quick answers, quick ways to reach solutions, ways and means to access knowledge that won't eat into their precious time and quick ideas that deliver a big result. The Little Book of Big Decision Models cuts through all the noise and gives managers access to the very best decision-making models that they need to to keep things moving forward. Every model is quick and easy to read and delivers the essential information and know-how quickly, efficiently and memorably.

The broad field of managerial and organizational cognition (MOC) has diversified over the years. Where early studies of MOC focused on theories of rational conscious thought, illustrated for example by schema theory, over the years we have seen explorations of unconscious processing, heuristics and cognitive biases, along with emotions, identity, and the 'darker' sides of cognition. Thinking About Cognition takes stock by reflecting on the frontiers of the field and addressing the future beyond our current state-of-the-art. The result is a collection of papers reflects emerging research in the field of cognition and considers developments in mindfulness, networked societies, neuropsychology, identity theory, team cognition, decision making, distant futures, cultural and ethnic backgrounds, change, and agency. This fifth anniversary volume of New Horizons in Managerial and Organizational Cognition comprises of a collection of contributions that discuss frontiers of MOC research, address the challenges we face, inspire other scholars, and provide guidance on how to proceed.

For courses on decision modeling through the use of spreadsheets. The perfect balance between decision modeling and spreadsheet use. It's important that textbooks support decision modeling courses by combining student's ability to logically model and analyze diverse decision-making scenarios with software-based solution procedures. Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models. The third edition has been updated to reflect the latest version of Excel.

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.

Retaining top talent is a universal concern that is increasingly global. However, the context, meaning, and mechanisms for changing jobs varies around the world. Global Talent Retention: Understanding Employee Turnover Around the World provides the first context-specific global perspective on retaining talent. Although extensive research informs understanding of why employees decide to leave or remain with organizations, the bulk of theory and research adopts a U.S.-centric perspective, problematic because most employees do not work for firms that are U.S.-owned or based. Global Talent Retention addresses the need for turnover theory and research to give more careful consideration to global and cross-cultural perspectives on employee retention, and includes contributions from a global range of scholars in differing cultural contexts in Africa, Asia, Europe, Latin America, and the Middle East. The chapters represent many of the largest and most dynamic economies in the world, including Bulgaria, China, Denmark, Germany, India, Mexico, South Africa, South Korea, Spain, Turkey, and the UK. Each chapter provides a description of the institutional, legal, and cultural context as it relates to employee mobility, a review of context-specific research leading to a description of how the mechanisms of prominent turnover theories may operate differently in particular contexts, and the implications for research and practice related to employee turnover and retention.

The book presents the proceedings of the 4th EAI International Conference on Management of Manufacturing Systems (MMS 2019), which took place in Krynica Zdroj, Poland, on October 8-10, 2019. The conference covered Management of Manufacturing Systems with support for Industry 4.0, Logistics and Intelligent Manufacturing Systems and Applications, Cooperation management and its effective applications. Topics include RFID Applications, Economic Impacts in Logistics, ICT Support for Industry 4.0, Industrial and Smart Logistics, Intelligent Manufacturing Systems and Applications, and much more.

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

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.

ICT-Driven Economic and Financial Development: Analyses of European Countries demonstrates the effects of ICT diffusion on economic, social and financial development by examining their impact on the structure and dynamics of national economies. It provides the insight into shifts observed in labour markets, international trade activities productivity factors, education and use of innovative financial products. It combines empirical analyses and data sources stretching back to 1990 make it an important contribution to understanding the effects of ICT diffusion on economic and financial development. The book answers questions such as how will national and regional economies react to upcoming ICT developments and growing usage, and what is the magnitude of impact of new information and communication technologies on various aspects of social and economic life.

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The book is divided into three relatively coherent sections that focus on understanding the emergence of (un)ethical decisions and behaviors in our work and social lives by adopting a psychological framework. The first section focuses on reviewing our knowledge with respect to the specific notions of ethical behavior and corruption. These chapters aim to provide definitions, boundary conditions and suggestions for future research on these notions. The second section focuses on the intra-individual processes (affect, cognition and motivation) that determine why and how people display unethical behavior and are able to justify this kind of behavior to a certain extent. In these chapters the common theme is that given specific circumstances psychological processes are activated that bias perceptions of ethical behavior and decision making. The third section explores how organizational features frame the organizational setting and climate. These chapters focus on how employment of sanctions, procedurally fair leadership and a general code of conduct shapes perceptions of the organizational climate in ways that it becomes clear to organizational members how just, moral and retributive the organization will be in case of unethical behavior.

Nils Brunsson is one of the leading European organization theorists who has written and researched decision-making in organizations. He has often questioned the rationality of decision-making, and argued that it is as important to understand other consequences of decision-making apart from choice - such things as mobilizing action, allocating responsibility, and legitimizing organizations. These consequences of decisions can influence decision-making and the assumptions about feasible norms that provide their context. Decisions often run counter to actions and are part of what Brunsson calls organizational hypocrisy. Decisions can substitute for action, or decrease the probability of the action they call for. The norm of rationality is far from obvious: sometimes decision-makers can recommend systematic irrationality. This book collects together a wide-range of Nils Brunsson's most important writing on decision-making, brought together in one volume for the first time, with an introduction from the author.

Performing Governance sets out a new framework to assess the performance of partnerships and examines what these actually deliver. This is applied to three areas of New Labour's welfare policy; child safeguarding, urban regeneration and the modernisation of health and social care. This book contributes to understanding governance under New Labour.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

In recent years there has been considerable interest in emotional intelligence. Drawing upon a rich theoretical and philosophical tradition, the author explains the concept and process of emotional production and how this works in gratifying, aversive and hierarchical situations as well as irreversible situations and situations of failure and success. This will provide a powerful framework for understanding the importance of emotional logic in relation to decision making and self-management and includes a number of compelling case studies.

The global medical and scientific communities need to standardize methodologies and agree on minimum criteria to permit inter-study comparisons. This book develops such standards, presenting a series of recommendations that represent the first codification of the manner in which studies should be executed.

This book presents state-of-the-art research on responsible operations practices. The book identifies the challenges and opportunities arising from the shift towards responsible business operations and examines these issues through the lenses of operations management, emphasizing the supply chain transformations associated with these changes. Developing a responsible business model presents a great opportunity for firms to differentiate in the marketplace through innovative models and insights around responsible operations and supply chain management. To do so, companies in many industries are changing their practices around sourcing materials, supplier compliance around processes and labor, scientific and sustainable approaches to farming in emerging countries, managing counterfeiting risks, and public health management. Responsible Business Operations: Challenges and Opportunities is divided into three sections. Section 1 focuses on environmental responsibility for companies. It also explores alternative energy solutions for both the developed and developing world, as well as worldwide carbon footprint reduction efforts. Section 2 is dedicated to social responsibility, with chapters covering topics including improving agricultural food chains and humanitarian challenges for businesses. Finally Section 3 promotes ethical responsibility, analyzing ways to improve supplier compliance to product, process and ethical standards.

This book presents a diverse range of recent operational research techniques that have been applied to agriculture and tourism management. It covers both the primary sector of agriculture and agricultural economics, and the tertiary sector of the tourism industry. Findings and lessons learned from these innovations can be readily applied to various other contexts. The book chiefly focuses on cooperative management issues, and on developing solutions to provide decision support in multi-criteria scenarios.

This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing. Audience: Researchers and professionals from operations research, management science and economics.

This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics - yet also need to learn the topic quickly and without overly academic explanations.

Remove built-in supply chain weak points to more effectively balance supply and demand Demand-Driven Inventory Optimization and Replenishment shows how companies can support supply chain metrics and business initiatives by removing the weak points built into their inventory systems. Beginning with a thorough examination of Just in Time, Efficient Consumer Response, and Collaborative Forecasting, Planning, and Replenishment, this book walks you through the mathematical shortcuts set up in your management system that prevent you from attaining supply chain excellence. This expanded second edition includes new coverage of inventory performance, business verticals, business initiatives, and metrics, alongside case studies that illustrate how optimized inventory and replenishment delivers results across retail, high-tech, men's clothing, and food sectors. Inventory optimization allows you to avoid out-of-stock situations without impacting the bottom line with excessive inventory maintenance. By keeping just the right amount of inventory on hand, your company is better able to meet demand without sacrificing the cost-effectiveness of other supply chain strategies. The trick, however, is determining "just the right amount" and this book provides the background and practical guidance you need to do just that. * Examine the major supply chain strategies of the last 30 years * Remove the shortcuts that prohibit supply chain excellence * Optimize your supply/demand balance in any vertical * Overcome systemic weaknesses to strengthen the bottom line Inventory optimization is benefitting companies around the world, as exemplified here by case studies involving Matas, PWT, Wistron, and Amway. When inefficiencies are built into the system, it's only smart business to identify and remove them and implement a new streamlined process that runs like a well-oiled machine. Demand-Driven Inventory Optimization and Replenishment is an essential resource for exceptional supply chain management.