PPT-Analysis and Decision-Making of Regional Economic Vitality

Economic vitality plays an important role in regional comprehensive competitiveness The core goal of this paper is to find how to grasp the key factors to improve the regional economic vitality According to the frequency of occurrence we determine eight factors to be studied In this paper we take Shenzhen city as an example to analysis influencing factors of economic vitality and study the program of action to improve the regional economic vitality We take quantifiable indicators to represent eight factors and normalize them The quantized data are tested by KMO test and Bartlett test to determine their correlation Then the model of economic vitality is established based on principal component analysis PCA After that the eight factors are classified into two main components talent related factors and enterprise related factors and their influence scores are calculated respectively as 0856 and 0773. “It doesn’t matter which side of the fence you get off . on . sometimes. . What . matters most is getting off. You cannot make progress without making decisions. .”. Jim . Rohn. . “Nothing is more difficult, and therefore more precious, than to be able to decide.”. ECON 6313. Managerial Economics. Fall semester, . 2009. Professor . Chris Brown. Outline. What is managerial economics and why should you study it?. Examples of managerial decisions. Six steps to decision making. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to. People must make . People must . techniques, such as modeling and forecasting, to make good decisions. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. How does the Government make . d. ecisions?. Tom . Worsley. Visiting Fellow. 15. th. April. The Question. Are the decisions made by Government;. Transparent?. Logical?. Consistent?. Accountable?. Management science uses a scientific approach for solving management problems. It is used in a variety of organizations to solve many different types of problems . It encompasses a logical mathematical approach to problem solving. Economic Vitality Index . Photo credit: . Walker Photography. Intent of the Thurston . EVI. . Provide a snapshot of economic conditions . and a multi-year trend analysis . of Thurston County’s economy. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. Prof. Dr. . Y. İlker TOPCU. www.ilkertopcu.. net. . www.. ilkertopcu. .org. . www.. ilkertopcu. .. info. facebook.com/. yitopcu. . twitter.com/. yitopcu. instagram.com/. yitopcu. web.itu.edu.tr/. Statin Choice Decision Aid Share-Decision Making SCIP Shared Decision Making Shared Decision Making Glasziou and Haynes ACP JC 2005 Promote a process where patients and clinicians make a choice together. ABSTRACT. OBJECTIVES AND DEVELOPMENT. RESULTS. The images below shows the Fuzzy Result in IFMG Higher Courses Evaluation:. http://develop.coipe.com.br/smartfuzzy/. The table at the right shows the. Chapter 9. THIRD EDITION. ECONOMICS. and. MICROECONOMICS. Paul Krugman | Robin Wells. Why good decision making begins with accurately defining costs and benefits. The importance of . implicit. as well as . It is used in a variety of organizations to solve many different types of problems . It encompasses a logical mathematical approach to problem solving. Mathematical tools have been used for thousands of years. 1. ERiMA. : . Envisioning Risk Models for Assessment of AI-based applications.. 2. Dr Huma Samin. 1. Post Doctoral Research Associate Computer Science. Durham University, UK. huma.samin@durham.ac.uk.