Application of Decision Science in Business and Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Decision Science in Business and Management write by Fausto Pedro García Márquez. This book was released on 2020-03-04. Application of Decision Science in Business and Management available in PDF, EPUB and Kindle. 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.
Applications of Decision Science in Management
Applications of Decision Science in Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Decision Science in Management write by Taosheng Wang. This book was released on 2022-09-07. Applications of Decision Science in Management available in PDF, EPUB and Kindle. 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.
Strategic Management, Decision Theory, and Decision Science
Strategic Management, Decision Theory, and Decision Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Strategic Management, Decision Theory, and Decision Science write by Bikas Kumar Sinha. This book was released on 2021-08-31. Strategic Management, Decision Theory, and Decision Science available in PDF, EPUB and Kindle. 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.
Decision Sciences for COVID-19
Decision Sciences for COVID-19 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Sciences for COVID-19 write by Said Ali Hassan. This book was released on 2022-02-28. Decision Sciences for COVID-19 available in PDF, EPUB and Kindle. 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.
Data Science in Engineering and Management
Data Science in Engineering and Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science in Engineering and Management write by Zdzislaw Polkowski. This book was released on 2021-12-31. Data Science in Engineering and Management available in PDF, EPUB and Kindle. This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
