Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.

Scholarly literature on talent management usually takes a mainstream approach to understanding how and why organizations pursue talent initiatives and to rationalizing their presumed benefits. Indeed, the basic logic of identifying and supporting an organization's most talented employees is, on the surface, quite seductive. Recent conceptual and empirical research, however, shows that talent management brings with it a range of issues that should trouble both academics and practitioners. In response to these concerns, Managing Talent: A Critical Appreciation takes a more critical view of the organizational talent project, to understanding the motives for talent management and to the identification, development and placement of high potential employees. This edited text brings together and explores a range of concerns arising from theory and practice and offers both practical recommendations and implications for further research. The issues and questions examined include: the rhetoric, politics and reality of talent management leadership derailment the social construction of talent gender bias in talent recognition the relevance of research in talent management inclusive talent management the role of line managers and leadership in implementing talent management While stressing academic rigour, each chapter is accessible to both scholars and practitioners who are looking for alternative ways of thinking about talent and alternative perspectives on the often problematic issues arising from managing talent in practice.

Author Heather A. Wandell, after observing thousands of hours of human workplace behavior and hundreds of hours of monkey behavior, discovered there is a connection In "Monkey Business," she compares the monkeys behavior to the human behavior and offers unique business and personal life practices to help to move your life forward.

A compilation of previously published columns, these lessons revolve around the themes of creating an environment where possibility thrives, acknowledging our shared humanity, getting along, communicating with awareness, evolving our business paradigm, and opening to optimism. "Monkey Business" can help you to put a new practice into your life that may bring relief to your own mental suffering;
shift energy in your workplace or personal life;
break down barriers;
realize you are the agent for change in your life;
consider a new possibility;
gain a new understanding of relationships;
increase your flow of creativity;
notice teachers are everywhere;
give a second chance at life.

The lessons taught in "Monkey Business" guide you to take responsibility for being the creator of your stories, your life, and your experience an ongoing process that takes steadfast, mindful practice.

Education and research in the field of strategic information technology can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements. Selected Readings on Strategic Information Systems supplements course instruction and student research with quality chapters focused on key issues concerning information technology in support of the strategic management of organizations. Containing over 30 chapters from authors across the globe, these selected readings in areas such as decision science, enterprise resource planning, and knowledge management depict the most relevant and important areas of classroom discussion within the categories of Fundamental Concepts and Theories; Development and Design Methodologies; Tools and Technologies; Application and Utilization; Critical Issues; and Emerging Trends.

There is an immense amount of information to be considered when attempting to solve complex strategic problems. To recognize the complexity of this process, the creation of tools and techniques are essential to aid decision makers in developing a rational model for strategy evaluation. Management Theories and Strategic Practices for Decision Making brings together a collection of research aiming to provide communication for the management of new methodologies to solve strategic problems and applying decision making approaches. This reference is useful for government agencies, practicing managers, academic and research institutions interested in bringing together strategic decision-making and decision sciences.

Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to. Enabling Strategic Decision-Making in Organizations through Dataplex breaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies - the intellectual fabric of data provides a path to centrally monitor, manage and rule the data. The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.

The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

Causal Mapping for Research in Information Technology provides an introduction to causal mapping for IS researchers and practitioners and goes further to provide IS researchers and practitioners everything they need to use causal mapping for both research and application.

Behavioral strategy continues to attract increasing research interest within the broader field of strategic management. Research in behavioral strategy has clear scope for development in tandem with such traditional streams of strategy research that involve economics, markets, resources, and technology. The key roles of psychology, organizational behavior, and behavioral decision making in the theory and practice of strategy have yet to be comprehensively grasped. Given that strategic thinking and strategic decision making are importantly concerned with human cognition, human decisions, and human behavior, it makes eminent sense to bring some balance in the strategy field by complementing the extant emphasis on the "objective' economics-based view with substantive attention to the "subjective" individual-oriented perspective. This calls for more focused inquiries into the role and nature of the individual strategy actors, and their cognitions and behaviors, in the strategy research enterprise. For the purposes of this book series, behavioral strategy would be broadly construed as covering all aspects of the role of the strategy maker in the entire strategy field. The scholarship relating to behavioral strategy is widely believed to be dispersed in diverse literatures. These existing contributions that relate to behavioral strategy within the overall field of strategy has been known and perhaps valued by most scholars all along, but were not adequately appreciated or brought together as a coherent sub-field or as a distinct perspective of strategy. This book series on Research in Behavioral Strategyi will cover the essential progress made thus far in this admittedly fragmented literature and elaborate upon fruitful streams of scholarship. More importantly, the book series will focus on providing a robust and comprehensive forum for the growing scholarship in behavioral strategy. In particular, the volumes in the series will cover new views of interdisciplinary theoretical frameworks and models (dealing with all behavioral aspects), significant practical problems of strategy formulation, implementation, and evaluation, and emerging areas of inquiry. The series will also include comprehensive empirical studies of selected segments of business, economic, industrial, government, and non-profit activities with potential for wider application of behavioral strategy. Through the ongoing release of focused topical titles, this book series will seek to disseminate theoretical insights and practical management information that will enable interested professionals to gain a rigorous and comprehensive understanding of the subject of behavioral strategy. Decision Making in Behavioral Strategy contains contributions by leading scholars in the field of behavioral strategy research. The 10 chapters in this volume cover a number of significant issues relating to the decision making processes, practices, and perspectives in the field of behavioral strategy, covering diverse topics such as failures in acquisitions, entrepreneurs under ambiguity, metacognition, neural correlates of emotion, knowledge flows, behavioral responses, business modeling, and alliance capability. The chapters include empirical as well as conceptual treatments of the selected topics, and collectively present a wide-ranging review of the noteworthy research perspectives on decision making in behavioral strategy.

We hear a lot about the necessity of meeting needs of changing markets by developing people, but we hear less about ways implement change. How can we design effective ways to implement change and maintain and build job satisfaction? James and Lori Spina illustrate how a strategic system aligns workplace transitions with the organizational vision, mission, and top level strategies to meet the needs of all stakeholders, ensure a steady flow of talent from within, and anticipate abilities and skills for jobs not yet created. They provide a road map for how to carry this out and propose a cutting-edge leadership style to complement this strategic approach and beat the competition. They demonstrate in detail on how to meet the emerging learning needs of high potential people who are striving to obtain new levels of responsibility. This book is crucial reading for executives who make strategic business decisions to ensure the sustainability and growth of their organizations.

The objective of this book is to present this analytical framework and to illustrate how it can be used in the investigation of economic decisions under risk. In a sense, the economics of risk is a difficult subject: it involves understanding human decisions in the absence of perfect information. How do we make decisions when we do not know some of events affecting us? The complexities of our uncertain world and of how humans obtain and process information make this difficult. In spite of these difficulties, much progress has been made. First, probability theory is the corner stone of risk assessment. This allows us to measure risk in a fashion that can be communicated among decision makers or researchers. Second, risk preferences are now better understood. This provides useful insights into the economic rationality of decision making under uncertainty. Third, over the last decades, good insights have been developed about the value of information. This helps better understand the role of information in human decision making and this book provides a systematic treatment of these issues in the context of both private and public decisions under uncertainty.
* Balanced treatment of conceptual models and applied analysis
* Considers both private and public decisions under uncertainty
* Website presents application exercises in EXCEL

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks in Business Forecasting provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

This is a practical guide to evaluating and addressing the challenges of a distressed business - whether due to being overleveraged, poorly managed, or is underperforming. The authors provide practical advice, based on their involvement collectively in more than 150 financially stressed businesses, on how to maximize the value of a troubled business.