Publication Type

PhD Dissertation

Version

publishedVersion

Publication Date

4-2025

Abstract

As a key means to promote health behavior change, information intervention has gradually attracted widespread attention from all walks of life. The same information presented in different ways may lead to different decision-making judgments, especially in the process of transmitting and receiving health information, which affects individual behavioral intentions and health consumption decisions. This information framing effect is considered by most scholars to be an important factor in health behavior intervention, but its specific mechanism of action in health behavior change has not been fully discussed. This paper constructs a theoretical model of information framing effect to explore the specific effects of positive and negative information frames on health behavior change and health consumption intention. At the same time, this study further introduces decision balance as a mediation variable and the consideration of future consequences (CFC) as a moderation variable, aiming to deeply analyze the mechanism of action of information framing effect in affecting health behavior change and health consumption intention. Through a multi-stage experimental design, this paper systematically analyzes how positive and negative information frames promote health behavior change and health consumption intention by affecting individuals' cognitive, emotional and behavioral responses in different stages of health behavior.

This paper designs cross-sectional and longitudinal intervention experiments based on the behavior of staying up late, constructs the influence model of positive and negative information frames at different stages of health behavior, and analyzes the stage characteristics of the behavior change process and the impact of information frames on health consumption intention. This paper obtains the following three main findings: Firstly, positive information drives health behavior intention by enhancing health benefit expectations, while negative information accelerates the implementation of behavior by strengthening health threat awareness. In terms of stages, more attention should be paid to the motivation of positive information in the early stage of behavior change, while the intervention of negative information should be strengthened in the intention formation and preparation stage. Finally, in the behavior consolidation period, the integration of two-way information can ensure the long-term sustainability of behavior. In addition, information frames significantly affect consumers' consumption decisions by triggering their perceived needs for gains or losses. Positive information frames enhance consumers' positive emotions through pleasant expectations, making them actively pursue health improvements, while negative information frames cater to consumers' need to avoid potential health risks, and force consumers to evaluate health threats through risk prompts, thereby increasing their health consumption intention. Secondly, decision balance plays a significant mediation role in the effect of information frames on health behavior change. Positive and negative information frames play a role in improving health consumption intention through different psychological pathways. Third, CFC also has a multi-level moderation effect through information frames in the path of health behavior change and health consumption intention. Individuals with higher CFC will gradually form internalized health behavior motivation under the long-term health expectations of positive information frames, and pay more attention to the long-term value of products in health consumption; while individuals with lower CFC will have immediate demand for health behavior and consumption under the short-term threat stimulation of negative information frames.

This paper proposes four countermeasures and suggestions: First, optimize the design of the health information frame and formulate an information frame that meets the personalized needs of customers to enhance the motivation for health behavior change and improve the intervention effect. Second, strengthen the combination of health education and personalized intervention, and improve the long-term effect of behavior change through personalized health education content design, customized health behavior suggestions, and development of personalized health management plans. Third, health management companies should enhance cross-field cooperation, build a comprehensive health promotion system, and create a full-chain health management service. Fourth, actively use modern information technology to build a personalized health management platform to improve the personalization and accuracy of health behavior intervention. Through the above countermeasures and measures, it is hoped that health intervention personnel and health management institutions can more effectively optimize the information frame design and improve the health intervention effect, thereby truly improving the public health level.

Keywords

information framing effect, health behavior change, decision balance, CFC

Degree Awarded

Doctor of Business Administration (Accounting and Finance)

Discipline

Accounting

Supervisor(s)

WANG, Rencheng

First Page

1

Last Page

282

Publisher

Singapore Management University

City or Country

Singapore

Copyright Owner and License

Author

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