2021Unpublished venueRequires access

DECISION‐MAKING MODELS, DECISION SUPPORT, AND PROBLEM SOLVING

Mark R. Lehto, Gaurav Nanda, Gaurav Nanda

Open publisher page 10 citations

Abstract

This chapter provides an overall perspective on human decision making to human factors practitioners, developers of decision tools, product designers, and others who are interested in how people make decisions and how decision making might be improved. It presents a broad set of prescriptive and descriptive approaches. The chapter introduces principles of rational choice suggested by classical decision theory, followed by a discussion of research on human decision making which has led to the new perspectives of behavioral decision theory and behavioral economics, and naturalistic decision models. It addresses the topic of decision support and problem solving. The main idea of adaptive decision behavior, or contingent decision behavior, is that an individual decision maker uses different strategies in different situations. The chapter also addresses methods of supporting or improving group decision making. Expert systems are developed to capture knowledge for a very specific and limited domain of human expertise.

About this research paper

What this paper is about

This chapter provides an overall perspective on human decision making to human factors practitioners, developers of decision tools, product designers, and others who are interested in how people make decisions and how decision making might be improved. It presents a broad set of prescriptive and descriptive approaches. The chapter introduces principles of rational choice suggested by classical decision theory, followed by a discussion of research on human decision making which has led to the new perspectives of behavioral decision theory and behavioral economics, and naturalistic decision models. It addresses the topic of decision support and problem solving. The main idea of adaptive decision behavior, or contingent decision behavior, is that an individual decision maker uses different strategies in different situations. The chapter also addresses methods of supporting or improving group decision making. Expert systems are developed to capture knowledge for a very specific and limited domain of human expertise.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This chapter provides an overall perspective on human decision making to human factors practitioners, developers of decision tools, product designers, and others who are interested in how people make decisions and how decision making might be improved. It presents a broad set of prescriptive and descriptive approaches. The chapter introduces principles of rational choice suggested by classical decision theory, followed by a discussion of research on human decision making which has led to the new perspectives of behavioral decision theory and behavioral economics, and naturalistic decision models. It addresses the topic of decision support and problem solving. The main idea of adaptive decision behavior, or contingent decision behavior, is that an individual decision maker uses different strategies in different situations. The chapter also addresses methods of supporting or improving group decision making. Expert systems are developed to capture knowledge for a very specific and limited domain of human expertise.

Key concepts: Decision engineering, R-CAST, Decision field theory, Business decision mapping, Decision analysis, Management science, Decision support system, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
DECISION‐MAKING MODELS, DECISION SUPPORT, AND PROBLEM SOLVING — Research Paper | ScholarLens