Inhoudsopgave:
|
\u003cp\u003e\u003cb\u003eQualitative and quantitative techniques to apply decision analysis to real-world decision problems, supported by sound mathematics, best practices, soft skills, and more\u003c/b\u003e \u003cp\u003eWith substantive illustrations based on the authors\u0026#8217; personal experiences throughout, \u003ci\u003eHandbook of Decision Analysis\u003c/i\u003e describes the philosophy, knowledge, science, and art of decision analysis. Key insights from decision analysis applications and behavioral decision analysis research are presented, and numerous decision analysis textbooks, technical books, and research papers are referenced for comprehensive coverage. \u003cp\u003eThis book does not introduce new decision analysis mathematical theory, but rather ensures the reader can understand and use the most common mathematics and best practices, allowing them to apply rigorous decision analysis with confidence. The material is supported by examples and solution steps using Microsoft Excel and includes many challenging real-world problems. Given the increase in the availability of data due to the development of products that deliver huge amounts of data, and the development of data science techniques and academic programs, a new theme of this Second Edition is the use of decision analysis techniques with big data and data analytics. \u003cp\u003eWritten by a team of highly qualified professionals and academics, \u003ci\u003eHandbook of Decision Analysis\u003c/i\u003e includes information on: \u003cul\u003e\u003cli\u003eBehavioral decision-making insights, decision framing opportunities, collaboration with stakeholders, information assessment, and decision analysis modeling techniques\u003c/li\u003e \u003cli\u003ePrinciples of value creation through designing alternatives, clear value/risk tradeoffs, and decision implementation\u003c/li\u003e \u003cli\u003eQualitative and quantitative techniques for each key decision analysis task, as opposed to presenting one technique for all decisions.\u003c/li\u003e \u003cli\u003eStakeholder analysis, decision hierarchies, and influence diagrams to frame descriptive, predictive, and prescriptive analytics decision problems to ensure implementation success\u003c/li\u003e\u003c/ul\u003e \u003cp\u003e\u003ci\u003eHandbook of Decision Analysis\u003c/i\u003e is a highly valuable textbook, reference, and/or refresher for students and decision professionals in business, management science, engineering, engineering management, operations management, mathematics, and statistics who want to increase the breadth and depth of their technical and soft skills for success when faced with a professional or personal decision. |
nl
en