[PDF] Business Applications Of Decision Sciences eBook
Business Applications Of Decision Sciences Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Business Applications Of Decision Sciences book. This book definitely worth reading, it is an incredibly well-written.
Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.
This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
This book provides an overview of Data and Decision Sciences (DDS) and recent advances and applications in space-based systems and business, medical, and agriculture processes, decision optimization modeling, and cognitive decision-making. Written by experts, this volume is organized into four sections and seven chapters. It is a valuable resource for educators, engineers, scientists, and researchers in the field of DDS.
As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.
NEW ADVANCES IN THE SCIENCE OF DECISION MAKING: Practical and relevant research from DSI, the field’s leading organization 14 OUTSTANDING PAPERS APPLYING RIGOROUS RESEARCH METHODS TO IMPORTANT SOCIETAL AND BUSINESS DECISION ENVIRONMENTS NEW OPPORTUNITIES TO IMPROVE PERFORMANCE IN STRATEGY, TACTICS, AND OPERATIONS FOR ALL DECISION MAKERS, AND ALL DECISION SCIENCE RESEARCHERS AND STUDENTS More than 1,000 papers were submitted to the Decision Science Institute’s 2015 annual conference. This book presents the 14 papers chosen as most insightful and useful. This peer-reviewed research addresses a richly diverse set of business topics, illuminating opportunities to improve decision making at strategic, tactical, and operational levels. Spanning analytics, information systems and technology, supply chain operations management, and other disciplines, these papers identify multiple opportunities for immediate and long-term performance improvement. The authors address challenges ranging from talent management to lean transformation, mobile app marketing to corporate ethics, driving change to predicting stock prices. Their work reflects both the intellectual vibrancy of the discipline of decision science and its immense practical value. Decision sciences research leads to improved decision outcomes. This volume brings together peer-reviewed papers chosen as “best of the best” by the field’s leading organization, the Decision Sciences Institute. Authored by respected researchers worldwide, these papers were presented at DSI’s 46th Annual Meeting in Seattle. They describe new methods and approaches in the decision sciences, with a special focus on translating theoretical impact into practical relevance to improve decision making within business, public policy, non-profit organizations, and beyond. Assess willingness to learn ERP systems based on knowledge update and other factors Exploit application integration to improve ERP’s value after implementation Discover how mobile users decide whether to search for and adopt a new app Quantify links between absenteeism and hostile environment/sexual harassment Assess correlations between employee development and worker outcomes Explore perceptions of change, intentions to leave, and the role of cynicism Promote lean transformation by evolving HR performance management systems Understand how links between corporate ethical values and firm performance are mediated Bring a global sourcing perspective to issues of ethical consumption Improve quality by choosing practices with the best cultural fit Use Multilayer Perceptron (MLP) and Bayesian Networks (BN) to predict diabetes Apply a comprehensive empirical framework for assessing patient care quality Promote sharing of clinical knowledge among a practice group’s physicians Forecast variable impacts in S&P 500 equity prices
Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs
This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insights for making crucial decisions. This book aims to serve as a reference book for researchers in the area of decision science for management. It covers alternative solutions with innovative ideas and issues from different fields of business management.
This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.