Evidence map›Paper›PMID 42792295›Full record

ReviewBehavioral sciences (Basel, Switzerland)2026

Subjective Values in Decision-Making Under Uncertainty: A Systematic Review.

Meihui Zheng, Zhenzhong Ma, Yiru Li, Dapeng Liang

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Meihui ZhengSchool of Business, Harbin Institute of Technology, Harbin 150001, China.
Zhenzhong MaSchool of Economics and Management, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China.ORCID 0000-0003-3012-2810
Yiru LiSchool of Management, Harbin Institute of Technology, Harbin 150001, China.
Dapeng LiangSchool of Management, Harbin Institute of Technology, Harbin 150001, China.

Funding

National Natural Science Foundation of China #72174043National Social Science Fund of China #24BGL029
6 · The paper itself

Abstract

Decision-making under uncertainty, risk, and ambiguity is a central topic in behavioral sciences, yet the cognitive and neural mechanisms through which individuals construct subjective value remain fragmented across disciplines. Neuroeconomics has emerged as an interdisciplinary field integrating psychology, economics, and neuroscience to explain how subjective value guides judgment and choice under uncertain conditions. However, the conceptual foundations of subjective value and its role across different forms of uncertainty remain insufficiently integrated. This study provides the first comprehensive review of subjective value research by combining a systematic literature review with bibliometric analysis. We first trace the theoretical evolution of judgment and decision-making under uncertainty, emphasizing the development of subjective value as a core construct linking cognitive evaluation, affective processing, and behavioral choice. We then review major approaches to measuring subjective value and examine their contributions to understanding individual differences in decision-making. Using VOSviewer, we identify the intellectual structure, major research themes, and emerging trends in the field. The findings reveal two complementary knowledge foundations: theories of judgment and decision-making under uncertainty and the neural mechanisms underlying subjective value representation. Three dominant research themes emerge: (1) cognitive and affective processes underlying subjective value construction during uncertainty-related judgment; (2) neural representations of subjective value across risky and ambiguous decision contexts; and (3) the development of integrative cross-domain models that connect psychological, economic, and neuroscientific perspectives on decision-making. Based on these findings, we propose future research directions that emphasize distinguishing risk, ambiguity, and uncertainty at both behavioral and neural levels, integrating contextual and individual-difference factors into subjective value models, and extending neuroeconomic research beyond laboratory paradigms to real-world decision environments. By synthesizing theoretical and empirical advances across disciplines, this review offers an integrative framework for understanding how subjective value shapes human judgment and decision-making under uncertainty.

Indexed as

concept evolutionmeasurementneuroeconomicssubjective valuetheoretical foundationsuncertainty decision-makingVOSviewer

Identifiers

PMID42792295
PMCPMC13603760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.