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Systematic behavior research for understanding consumer decision making.

Chin-Feng Lin1

  • 1National Pingtung Institute of Commerce, Taiwan. cfl@npic.edu.tw

Behavior Research Methods
|April 14, 2009
PubMed
Summary
This summary is machine-generated.

This study uses means-end chain (MEC) theory and dynamic programming to analyze consumer decision-making. The developed information system aids marketers in understanding consumer behavior and formulating effective strategies.

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Area of Science:

  • Consumer Behavior Analysis
  • Information Systems Design
  • Marketing Strategy Formulation

Background:

  • Traditional means-end chain (MEC) methodology has limitations in analyzing complex consumption information.
  • Understanding consumer cognitive hierarchies is crucial for effective marketing.

Purpose of the Study:

  • To develop an integrated information system for analyzing consumer decision-making processes.
  • To enhance the functionality of traditional MEC methodology.
  • To provide marketers with actionable insights into consumer behavior.

Main Methods:

  • Integration of means-end chain (MEC) theory with dynamic programming.
  • Development of a conceptual framework for an information system.
  • Application of the system for analyzing consumption behaviors.

Main Results:

  • Researchers can obtain data on consumer cognitive hierarchies through the information system.
  • The study provides an enhanced, integrated method for consumption information analysis.
  • The developed system facilitates a deeper understanding of consumer decision-making.

Conclusions:

  • The proposed information system effectively analyzes consumer decision-making processes.
  • The integrated approach enhances traditional MEC methodology for marketing applications.
  • This framework supports the design of information systems for strategic marketing insights.