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学者姓名：王益文
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Abstract ：
Reducing the "intention-behavior gap" in pro-environmental purchasing decisions is crucial for environmental protection. This study aimed to explore how natural sounds influence the "intention-behavior gap" in proenvironmental purchasing decisions by employing a laboratory experiment focused on physiological responses. Specifically, it investigated the effects of natural sounds (e.g., birdsong) and unnatural sounds (e.g., factory noise) on individuals with high levels of environmental movement activism, focusing on their proenvironmental purchasing decisions and physiological attention mechanisms. The results showed that compared to unnatural sounds, individuals with high environmental movement activism significantly increased their green product purchase rates when exposed to natural sounds. Compared to unnatural sounds, they exhibited lower heart rates and higher beta band activity in the right prefrontal cortex when viewing green product information under natural sounds. Additionally, the difference in heart rate between natural and unnatural sounds, significantly predicted the difference in green products purchase rate. Within the environmental psychology framework, the findings suggest a novel connection between Attention Restoration Theory and the evolutionary-constructivist perspective, demonstrating that natural sounds enhance top-down attention toward green products in individuals with high levels of environmental movement activism. This effect may relate to a reduction in the "intention-behavior gap." This study provides valuable insights into biophilic design principles for designing and testing environmental settings that promote pro-environmental purchasing decisions through natural sounds.
Keyword ：
beta band beta band Environmental movement activism Environmental movement activism Heart rate Heart rate Natural sounds Natural sounds Pro-environmental purchasing decisions Pro-environmental purchasing decisions
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| GB/T 7714 | Wang, Yiwen , Liang, Geying , Lu, Runping . Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms [J]. | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY , 2025 , 103 . |
| MLA | Wang, Yiwen 等. "Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms" . | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY 103 (2025) . |
| APA | Wang, Yiwen , Liang, Geying , Lu, Runping . Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms . | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY , 2025 , 103 . |
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Sound is one of the important environmental factors that influence individuals’ decision-making. However, it is still unclear whether and how natural sounds nudge green product purchases. This study proposes an extension of the Stimulus-Organism-Response (S-O-R) framework, suggesting that natural sounds increase early attentional congruency associated with green products, thereby promoting individuals’ green product purchases. To test our theory, we conducted an experiment employing a hierarchical drift-diffusion model (HDDM) and utilized an event-related potentials (ERP) method. Results showed that natural sounds not only increased the purchase rate for green products but also enhanced drift rate in favor of purchasing green products. Additionally, consumers also exhibited a reduced frontal early P2 wave (150–230 ms) in response to green products under natural sounds, indicating that natural sounds increased the early attentional congruency associated with green products. More importantly, neural correlates of early attentional congruency meditated the nudge effect of natural sounds on purchase rate and drift rate for green products. This study contributes to the neural understanding of how natural sounds influence green product purchases and provides actionable implications for market managers to design the green products sales environments. © 2024
Keyword ：
Early attentional congruency Early attentional congruency Electroencephalogram Electroencephalogram Event-related potentials Event-related potentials Green product purchases Green product purchases Hierarchical drift-diffusion model Hierarchical drift-diffusion model Natural sounds Natural sounds
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| GB/T 7714 | Liang, G. , Huang, L. , Wang, Y. . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases [J]. | Physiology and Behavior , 2024 , 287 . |
| MLA | Liang, G. 等. "Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases" . | Physiology and Behavior 287 (2024) . |
| APA | Liang, G. , Huang, L. , Wang, Y. . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases . | Physiology and Behavior , 2024 , 287 . |
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Compensatory consumption theory posits that individuals tend to engage in status consumption as a response to experiencing upward social comparison. However, it is unclear whether upward social comparison can influence status consumption in four lifestyle domains: clothing, eating, living, and travelling. Therefore, we conducted two separate studies with a sample of Chinese consumers. In Study 1, we investigated the effects of upward social comparison on status consumption in four domains by comparing participants with a specific individual. In Study 2, we examined the effects of upward social comparison on status consumption in four domains by comparing participants with a group. Additionally, Study 2 examined the mediating role of perceived self-improvement and perceived superiority. The results revealed that participants exhibited higher purchase intentions and preferences for status products and services in four consumption domains when exposed to upward social comparison. Furthermore, the results also indicated that perceived self-improvement and perceived superiority mediated the positive effects of status consumption in four domains under upward social comparison. These findings contribute to the broader applicability of compensatory consumption theory.
Keyword ：
perceived self-improvement perceived self-improvement perceived superiority perceived superiority status consumption status consumption upward social comparison upward social comparison
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| GB/T 7714 | Liang, Geying , Li, Yan , Song, Wu et al. The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority [J]. | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY , 2024 , 27 (4) : 870-887 . |
| MLA | Liang, Geying et al. "The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority" . | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY 27 . 4 (2024) : 870-887 . |
| APA | Liang, Geying , Li, Yan , Song, Wu , Wang, Yiwen . The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority . | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY , 2024 , 27 (4) , 870-887 . |
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基于消费者的购买意图,可将消费类型分为体验型和实物型消费,研究表明这两类消费对消费者心理和行为的影响存在差异.当前研究基于双重态度模型,利用外显报告和内隐联想测验考察实物型和体验型消费幸福感的外显和内隐特征,以及对支付意愿的可能影响.结果发现:(1)外显报告的实物型消费幸福感要高于体验型消费幸福感;(2)内隐联想测验发现体验型消费与积极情绪词联结更为紧密;(3)外显报告消费幸福感可以显著预测消费产品支付意愿.
Keyword ：
体验型消费 体验型消费 内隐联想测验 内隐联想测验 双重态度模型 双重态度模型 实物型消费 实物型消费 幸福感 幸福感
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| GB/T 7714 | 姚小强 , 张志文 , 王益文 . 消费类型与幸福感的关系:基于双重态度模型 [J]. | 心理学探新 , 2024 , 44 (4) : 366-373 . |
| MLA | 姚小强 et al. "消费类型与幸福感的关系:基于双重态度模型" . | 心理学探新 44 . 4 (2024) : 366-373 . |
| APA | 姚小强 , 张志文 , 王益文 . 消费类型与幸福感的关系:基于双重态度模型 . | 心理学探新 , 2024 , 44 (4) , 366-373 . |
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依据“基于人工智能技术的工商管理发展”学术研讨会，本文结合相关研究前沿问题和国家重大需求，系统总结了当前工商管理关于人工智能研究的现状、机遇与挑战。总体来看，当前研究主要将人工智能技术作为研究工具、方法或情景，将人工智能作为研究对象构建新创理论的实证研究相对不足，面临理论发展滞后、研究方法不足、研究路径单一、跨学科整合不足以及对相关伦理问题重视度不够等五大挑战。在此基础上，利用Web of Science全面检索并梳理了2022年1月至2024年3月间与人工智能主题直接相关的工商管理期刊论文225篇，归纳了当前工商管理学科各个细分方向研究的主要进展，凝练了面向人工智能的组织结构与设计、组织能力演化、组织行为与人力资源管理变革、人机协同、数字营销、金融财会风险监管、信息系统、管理哲学与文化等八大方面的关键科学问题，指出了我国工商管理学科在人工智能时代的发展目标与研究方向。
Keyword ：
人工智能 人工智能 工商管理 工商管理 机遇与挑战 机遇与挑战 现状与进展 现状与进展 科学问题 科学问题
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| GB/T 7714 | 仲为国 , 贾宁 , 梁屹天 et al. 人工智能时代的工商管理研究现状与未来 [J]. | 中国科学基金 , 2024 , 38 (05) : 794-805 . |
| MLA | 仲为国 et al. "人工智能时代的工商管理研究现状与未来" . | 中国科学基金 38 . 05 (2024) : 794-805 . |
| APA | 仲为国 , 贾宁 , 梁屹天 , 田轩 , 倪晨凯 , 卢向华 et al. 人工智能时代的工商管理研究现状与未来 . | 中国科学基金 , 2024 , 38 (05) , 794-805 . |
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Sound is one of the important environmental factors that influence individuals' decision-making. However, it is still unclear whether and how natural sounds nudge green product purchases. This study proposes an extension of the Stimulus-Organism-Response (S-O-R) framework, suggesting that natural sounds increase early attentional congruency associated with green products, thereby promoting individuals' green product purchases. To test our theory, we conducted an experiment employing a hierarchical drift-diffusion model (HDDM) and utilized an event-related potentials (ERP) method. Results showed that natural sounds not only increased the purchase rate for green products but also enhanced drift rate in favor of purchasing green products. Additionally, consumers also exhibited a reduced frontal early P2 wave (150-230 ms) in response to green products under natural sounds, indicating that natural sounds increased the early attentional congruency associated with green products. More importantly, neural correlates of early attentional congruency meditated the nudge effect of natural sounds on purchase rate and drift rate for green products. This study contributes to the neural understanding of how natural sounds influence green product purchases and provides actionable implications for market managers to design the green products sales environments.
Keyword ：
Early attentional congruency Early attentional congruency Electroencephalogram Electroencephalogram Event-related potentials Event-related potentials Green product purchases Green product purchases Hierarchical drift-diffusion model Hierarchical drift-diffusion model Natural sounds Natural sounds
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| GB/T 7714 | Liang, Geying , Huang, Liang , Wang, Yiwen . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases [J]. | PHYSIOLOGY & BEHAVIOR , 2024 , 287 . |
| MLA | Liang, Geying et al. "Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases" . | PHYSIOLOGY & BEHAVIOR 287 (2024) . |
| APA | Liang, Geying , Huang, Liang , Wang, Yiwen . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases . | PHYSIOLOGY & BEHAVIOR , 2024 , 287 . |
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The ability to comprehend the intention conveyed through human body movements is crucial for effective interpersonal interactions. If people can't understand the intention behind other individuals' isolated or interactive actions, their actions will become meaningless. Psychologists have investigated the cognitive processes and neural representations involved in understanding action intention, yet a cohesive theoretical explanation remains elusive. Hence, we mainly review existing literature related to neural correlates of action intention, and primarily propose a putative Three-stage Dynamic Brain-cognitive Model of understanding action intention, which involves body perception, action identification and intention understanding. Specifically, at the first stage, body parts/shapes are processed by those brain regions such as extrastriate and fusiform body areas; During the second stage, differentiating observed actions relies on configuring relationships between body parts, facilitated by the activation of the Mirror Neuron System; The last stage involves identifying various intention categories, utilizing the Mentalizing System for recruitment, and different activation patterns concerning the nature of the intentions participants dealing with. Finally, we delves into the clinical practice, like intervention training based on a theoretical model for individuals with autism spectrum disorders who encounter difficulties in interpersonal communication.
Keyword ：
Bodily intention understanding Bodily intention understanding Mentalizing system Mentalizing system Mirror neuron system Mirror neuron system Social cognition Social cognition Three-stage dynamic brain-cognitive model Three-stage dynamic brain-cognitive model
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| GB/T 7714 | Huang, Liang , Du, Fangyuan , Huang, Wenxin et al. Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements [J]. | BRAIN TOPOGRAPHY , 2024 , 37 (6) : 1055-1067 . |
| MLA | Huang, Liang et al. "Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements" . | BRAIN TOPOGRAPHY 37 . 6 (2024) : 1055-1067 . |
| APA | Huang, Liang , Du, Fangyuan , Huang, Wenxin , Ren, Hanlin , Qiu, Wenzhen , Zhang, Jiayi et al. Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements . | BRAIN TOPOGRAPHY , 2024 , 37 (6) , 1055-1067 . |
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Willingness to pay (WTP) pervades every marketplace transaction, therefore, understanding how the brain makes bidding decisions is essential in consumer neuroscience. Although some neuroimaging studies have investigated the neural networks of WTP, systematic understanding remains limited. This study identified reliable neural networks activated by the WTP across different reward types and assessed common and distinct neural networks for different reward types (food and other) bids. We conducted an activation likelihood estimation (ALE) metaanalysis on WTP across different reward types (25 studies; 254 foci; 705 participants), and to compared neural representations of WTP for food reward (22 studies; 232 foci; 628 participants) and other rewards (7 studies, 61 foci; 177 participants). The ALE results revealed that the brain centers of WTP for different rewards mainly consist of the bilateral inferior frontal gyrus (IFG), bilateral insula, bilateral anterior cingulate cortex (ACC), along with the left caudate. This suggests that neural networks encoding WTP for different rewards consist of brain regions associated with reward processing, cost-benefit calculations, and goal-directed action activities. In addition, consistent activation of the bilateral IFG and bilateral insula for food but no other rewards bids suggest their involvement in the neural network of appetite. WTP for food and other rewards commonly activated ACC, suggesting a common region encoding bids for different rewards. Our findings provide novel insights into neural networks associated with WTP for food and other rewards bids and the mechanisms underlying WTP across different reward types.
Keyword ：
Activation likelihood estimation Activation likelihood estimation Consumer neuroscience Consumer neuroscience Food Food Functional magnetic resonance imaging Functional magnetic resonance imaging Meta -analysis Meta -analysis Willingness to pay Willingness to pay
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| GB/T 7714 | Wang, Yiwen , Yao, Xiaoqiang . Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies [J]. | PHYSIOLOGY & BEHAVIOR , 2024 , 278 . |
| MLA | Wang, Yiwen et al. "Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies" . | PHYSIOLOGY & BEHAVIOR 278 (2024) . |
| APA | Wang, Yiwen , Yao, Xiaoqiang . Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies . | PHYSIOLOGY & BEHAVIOR , 2024 , 278 . |
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The field of using neural data to forecast aggregate consumer choice has garnered attention in the past decade, holding substantial promise for both researchers and practitioners. However, a comprehensive understanding of this emerging field is lacking. This paper aims to bridge that gap by summarizing existing research, encompassing relevant theories, metrics, progress, and future directions. We begin by introducing the concept of neuroforecasting within the field of neuromarketing. We then delve into theories that leverage neural data for forecasting aggregate choice, including affect-integration-motivation framework, frontal asymmetry, and inter-subject correlation. Subsequently, we review various metrics, including self-reported, behavioral, and neural metrics employed to forecast market-level behavior, presenting key findings from relevant studies. Furthermore, we examine the strengths and weaknesses of this field. Advantages of this approach include its ability to offer effective predictions of consumer behavior and provide enhanced insights into consumer preferences and choices, while its weaknesses encompass relatively high cost, sample size constraints, issues of ecological validity, and challenges related to reverse inference. In conclusion, future research should prioritize integrating diverse data types with machine learning techniques to forecast the outcomes of marketing campaigns in advance. Additionally, a deeper exploration of the psychological and cognitive processes underlying successful predictions can augment predictive accuracy and effectiveness. This review provides a systematic overview for researchers and practitioners in this field, offering valuable insights and guidance for future research endeavors and industry applications.
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| GB/T 7714 | Yao, Xiaoqiang , Wang, Yiwen . Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook [J]. | JOURNAL OF CONSUMER BEHAVIOUR , 2024 , 23 (4) : 2142-2159 . |
| MLA | Yao, Xiaoqiang et al. "Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook" . | JOURNAL OF CONSUMER BEHAVIOUR 23 . 4 (2024) : 2142-2159 . |
| APA | Yao, Xiaoqiang , Wang, Yiwen . Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook . | JOURNAL OF CONSUMER BEHAVIOUR , 2024 , 23 (4) , 2142-2159 . |
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Decision-making is a very important cognitive process in our daily life. There has been increasing interest in the discriminability of single-trial electroencephalogram (EEG) during decision-making. In this study, we designed a machine learning based framework to explore the discriminability of single-trial EEG corresponding to different decisions. For each subject, the framework split the decision-making trials into two parts, trained a feature model and a classifier on the first part, and evaluated the discriminability on the second part using the feature model and classifier. A proposed algorithm and five existing algorithms were applied to fulfill the feature models, and the algorithm Linear Discriminative Analysis (LDA) was used to implement the classifiers. We recruited 21 subjects to participate in Chicken Game (CG) experiments. The results show that there exists the discriminability of single-trial EEG between the cooperation and aggression decisions during the CG experiments, with the classification accuray of 75% (+/- 6%), and the discriminability is mainly from the EEG information below 40 Hz. The further analysis indicates that the contributions of different brain regions to the discriminability are consistent with the existing knowledge on the cognitive mechanism of decision-making, confirming the reliability of the conclusions. This study exhibits that it is feasible to apply machine learning methods to EEG analysis of decision-making cognitive process.
Keyword ：
Adaptive frequency common spatial pattern Adaptive frequency common spatial pattern Chicken game Chicken game Decision-making Decision-making Discriminability of single-trial EEG Discriminability of single-trial EEG
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| GB/T 7714 | Huang, Zhihua , Jiang, Kun , Li, Jing et al. Discriminability of single-trial EEG during decision-making of cooperation or aggression: a study based on machine learning [J]. | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING , 2022 , 60 (8) : 2217-2227 . |
| MLA | Huang, Zhihua et al. "Discriminability of single-trial EEG during decision-making of cooperation or aggression: a study based on machine learning" . | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 60 . 8 (2022) : 2217-2227 . |
| APA | Huang, Zhihua , Jiang, Kun , Li, Jing , Zhu, Wenxing , Zheng, Huiru , Wang, Yiwen . Discriminability of single-trial EEG during decision-making of cooperation or aggression: a study based on machine learning . | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING , 2022 , 60 (8) , 2217-2227 . |
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