Psychological Drivers Research Articles

Drivers of agricultural producers' tolerance towards less-charismatic avian species

Increasing wildlife tolerance (i.e., “the willingness of an individual to absorb the extra potential or actual costs of living with wildlife”) can reduce human-wildlife conflict (HWC). Previous research shows how socio-cultural and psychological factors shape HWC, focusing on carnivores and charismatic species. Less-charismatic species, particularly non-mammals, have received less attention from both the scholarly and policy-making communities even though they may be socially, culturally, and ecologically important. This paper applies the Wildlife Tolerance Model (WTM) to examine livestock producers' interactions with a less-charismatic avian species, black vultures (Coragyps atratus), in the Midwestern USA, as an example of an emerging HWC in an agricultural landscape. We collected usable survey data from 168 livestock producers in Indiana and Kentucky and used a partial-least squares structural equation model to assess potential drivers of their tolerance of black vultures. Intangible costs (i.e., negative emotions associated with black vultures), utilitarian wildlife value orientations (WVOs), and tendency towards using more severe management actions were significantly associated with reduced tolerance. Intangible benefits (i.e., “non-monetary factors such as stress and fear”) and mutualistic WVOs were significantly associated with increased tolerance. Importantly, tangible costs (i.e., “estimated economic costs associated with livestock losses due to wildlife predation”) were not a significant predictor of black vulture tolerance. This paper highlights the importance of socio-cultural and psychological factors, rather than economic factors, in shaping people's tolerance of a less-charismatic avian species. It demonstrates the utility of WTM as a framework for assessing the economic, socio-cultural, and psychological drivers of less-charismatic avian species.

Skeptical reactions to breast cancer screening benefits and harms: Antecedents, consequences, and implications for screening communication.

When people receive information about the benefits and harms of mammography screening, they do not always accept it at face value and instead express skepticism. The purpose of this research was to identify the psychological drivers of this skepticism. Two theory-driven hypotheses were considered: One hypothesis proposes that skeptical reactions reflect a psychological defense against information that is emotionally aversive. Another proposes that skeptical reactions reflect a normative probabilistic inference that information that conflicts with prior beliefs is unlikely to be true. This work also identified the potential consequences of skepticism for people's screening preferences. A nationally representative sample of female participants ages 39-49 received information about the benefits and harms of mammography screening. Skepticism toward information about screening benefits and harms was measured, as well as hypothesis-relevant predictors of that skepticism. Participants' preferred age to have regular mammograms was also assessed. The results did not support the hypothesis that skepticism reflects an emotional defense. Instead, skepticism was associated with experiencing the information as conflicting with beliefs and past screening messages. Expressing more skepticism toward screening harms was associated with preferring to start screening at a younger age. These data suggest that people express skepticism toward mammography evidence not because it is aversive information, but instead because it conflicts with other things they believe and have been told. Consistent, coordinated messages from health experts about mammography evidence may therefore help to reduce skepticism, and help promote an informed patient population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

EmTract: Extracting emotions from social media

We developed EmTract, an open-source tool designed to extract investor emotions from financial social media data. We contribute a novel dataset of 10,000 financial social media messages annotated with emotion labels and improve the DistilBERT model by incorporating 4861 tokens, including emojis and emoticons. This augmentation improved the model’s accuracy by over 3 percentage points compared to the standard BERT model, while providing faster inference and reduced computational requirements. Our models and datasets are publicly available to promote broader adoption and further research in financial sentiment analysis. We validated EmTract during the 2021 “meme stock” rally, where it accurately captured spikes in emotions such as anger and disgust following trading restrictions, demonstrating the model’s practical applicability in real-world events. Additionally, heterogeneity tests show that emotions have a stronger impact on smaller, more volatile, and heavily shorted stocks, aligning with established behavioral finance theories. These findings underscore the importance of integrating emotional dynamics into market analysis, particularly for speculative assets. Our contributions represent a significant step forward in understanding the psychological drivers of financial markets and offer practical tools for future research and industry applications.

Framework for adoption of generative AI for information search of retail products and services

PurposeGenerative artificial intelligence (GAI) can disrupt how consumers search for information on retail products/services online by reducing information overload. However, the risk associated with GAI is high, and its widespread adoption for product/service information search purposes is uncertain. This study examined psychological drivers that impact consumer adoption of GAI platforms for retail information search.Design/methodology/approachWe conducted 31 in-depth, semi-structured interviews with the lead GAI users regarding product/service information search. The data were analysed using a grounded theory paradigm and thematic analysis.FindingsResults show that consumers experience uncertainty about GAI’s functioning. Their trust in GAI impacts the adoption and usage of this technology for information search. GAI provides unique settings to investigate potential additional factors, leveraging UTAUT as a theoretical basis. This study identified three overarching themes – technology characteristics, technology readiness and information characteristics – as possible drivers of adoption.Originality/valueConsumers seek exhaustive and reliable information for purchase decisions. Due to the abundance of online information, they experience information overload. GAI platforms reduce information overload by providing synthesized and customized product/service search results. However, its reliability, trustworthiness and accuracy have been questioned. The functioning of GAI is opaque; the popular technology adoption model such as UTAUT is general and is unlikely to explain in totality the adoption and usage of GAI. Hence, this research provides the adoption drivers for this unique technology context. It identifies the determinants/antecedents of relevant UTAUT variables and develops an integrated conceptual model explaining GAI adoption for retail information search.

A Critical Study of Psychology of Retail Investors

This research critically examines the psychology of retail investors, focusing on the behavioural finance approach to investment decision-making. Behavioral finance challenges the traditional assumption that investors are always rational, proposing instead that psychological, social, and cultural factors influence financial behaviours. The study aims to explore how demographic factors such as gender, age, and investment experience, along with macroeconomic conditions like interest rates and inflation, shape retail investors' decision-making processes. By analysing both quantitative and qualitative data from surveys and questionnaires, the study seeks to uncover patterns in how emotions, cognitive biases, and social networks affect investment choices across different groups. The scope of this research extends to identifying significant variations in investment behaviour based on demographics and cultural influences. Moreover, the study will test hypotheses related to gender differences in the influence of peers and interest rate changes on investment decisions. Through a mixed-methods approach, this research aspires to provide valuable insights for financial institutions and individual investors, enhancing their understanding of the psychological drivers behind market behaviour and investment strategies.

Psychological Determinants of Investment Decisions: Analyzing Financial Behavior in Personal Investments

Understanding the psychological factors that influence investor behavior is critical in the dynamic world of financial markets. Financial conduct encompasses the decisions and behaviors individuals exhibit in managing their finances, including investments in various asset classes. Factors such as risk tolerance, cognitive biases, emotional influences, and financial knowledge significantly shape investment outcomes. Gaining long-term financial success requires mastery over these behavioral aspects. This study investigates the influence of three psychological factors—information asymmetry, problem framing, and risk propensity—on the investment decisions of 220 active investors trading on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). A quantitative research approach was employed, utilizing a structured questionnaire to collect data. Statistical analyses, including regression and correlation analysis, were used to assess the relationships between these psychological variables and investment behaviors. The results reveal significant correlations between psychological factors and investment decisions. Information asymmetry, problem framing, and risk propensity were found to strongly influence individual investor choices. These findings shed light on the intricate role that cognitive biases and psychological processes play in shaping financial decision-making. The study's findings offer valuable insights into the psychological drivers behind investment behavior. By highlighting the impact of these factors, the research contributes to both academic understanding and practical applications for financial professionals. The results underscore the importance of enhancing financial literacy and investor education, enabling more informed decision-making and promoting improved financial outcomes.

Factors Impacting Consumers’ Purchase Intention of Electric Vehicles in China: Based on the Integration of Theory of Planned Behaviour and Norm Activation Model

Understanding the factors that drive consumers to purchase electric vehicles (EVs) is critical to achieving decarbonization of China’s transportation sector, as well as mitigating global warming. This study aims to construct a research model based on altruistic and self-interested perspectives by integrating the Theory of Planned Behaviour (TPB) and Norm Activation Model (NAM) to predict the psychological factors that influence Chinese consumers’ intention to purchase EVs. Data were collected from 867 participants in China and empirically tested using Structural Equation Modeling (SEM). Self-interested factors, namely subjective norms, attitudes and perceived behavioural control, all had a significant positive effect on EV purchase intention. Additionally, the results showed that personal norms had the greatest effect on EV purchase intention. It was also found that awareness of consequence, ascription of responsibility and subjective norms were positive predictors of personal norms. Awareness of consequence had a positive effect on both the ascription of responsibility and attitudes. The findings contribute to understanding the psychological drivers of Chinese consumers’ intention to purchase EVs and can provide decision-making references for policy makers and manufacturers.

Associations Between Body Image, Eating Behaviors, and Diet Quality Among Young Women in New Zealand: The Role of Social Media.

Background/Objectives: This study investigates the relationship between diet quality and body image disturbance among young women aged 18-24, a crucial period for establishing lifelong health behaviors. Given the increasing exposure to social media, which often promotes unrealistic beauty standards, this research aims to explore associations between eating behaviors, diet quality, and body image disturbance. Methods: A mixed-methods approach was employed, combining qualitative focus group discussions with quantitative analysis. Focus groups (n = 19) explored themes of body image dissatisfaction. The Body Image Disturbance Questionnaire (BIDQ) was administered to 50 participants (young women aged 18-24) to quantitatively assess body image disturbance, while diet quality was evaluated using the Australian Recommended Food Scores (ARFS). The Three-Factor Eating Questionnaire (TFEQ-R18) was also used to assess eating behaviors, including cognitive restraint, uncontrolled eating, and emotional eating. A social influence questionnaire (SIQ) was administered to measure the effect of social influence. Pearson's correlation coefficient was used to determine the relationship between ARFS, BIDQ, and TFEQ-R18 scores. Results: Qualitative findings revealed persistent dissatisfaction with body shape, largely influenced by social media. Quantitatively, 65% of participants scored above the clinical threshold for body image disturbance (mean BIDQ score = 4.2, SD = 0.8). The correlation between ARFS and BIDQ scores was weak and not statistically significant (r = 0.057, p = 0.711). However, a significant positive correlation was observed between time spent on social media and body image disturbance (r = 0.58, p < 0.01). Additionally, TFEQ-R18 results indicated that 45% of participants displayed moderate levels of uncontrolled eating, and 36.5% demonstrated moderate levels of emotional eating. Conclusions: While social media is associated with body image concerns, its effect on eating behaviors and diet quality shows weak correlations, suggesting that other factors may mediate these outcomes. These results suggest the complexity of the associations between body image, eating behaviors, and diet quality, indicating that interventions should consider psychological drivers behind these concerns alongside social media usage.

Quantifying drivers of virtual reality acceptance in tourism planning using a grey system theory-based approach

PurposeThis study examines the role of Virtual Reality (VR) in tourism marketing, analyzing its psychological effects, demographic differences and factors influencing adoption. It seeks to identify and measure the main drivers and obstacles to VR acceptance, improving predictions of adoption trends in tourism planning and experiences across various demographics.Design/methodology/approachThis study employs a quantitative method, blending statistical analysis with Grey System Theory. It analyzes data from VR-experienced participants using ANOVA, regression models and dynamic grey relational analysis to produce actionable insights. Data were collected from July to September 2023 from participants experienced with VR in tourism.FindingsUser engagement, positive word-of-mouth and a desire for immersive experiences drive VR acceptance, especially among frequent travelers and tech enthusiasts. While VR can enhance trip enjoyment, its long-term impact varies. To increase VR adoption in tourism, strategies include targeting frequent travelers and online users, creating accessible and engaging content, leveraging positive feedback and partnering with influencers to develop interactive VR experiences that mitigate travel planning uncertainties and attract specific user groups.Practical implicationsThe study demonstrates how VR can expand access to tourism for those unable to travel, enhance engagement and streamline planning. By leveraging VR in marketing, providers can create immersive, targeted content, reduce uncertainties, attract tech-savvy travelers and boost appeal through influencer partnerships.Originality/valueThis study pioneers the integration of Grey System Theory with traditional statistical methods to elucidate the dynamics of VR adoption in tourism. By uniquely combining ANOVA, regression models and dynamic grey relational analysis, it offers a precise model to interpret complex data, highlighting the nuanced effects of demographic factors on technology acceptance. This approach not only advances the analytical frameworks in tourism marketing but also provides critical insights into the demographic and psychological drivers of VR adoption.

Mind Over Misinformation: Investigating the Factors of Cognitive Influences in Information Acceptance

ABSTRACTMany scholars have tried to investigate the identification, characterization, dissemination, and prevention of misinformation in recent years. But a fundamental question that lies behind these investigations is ‘Why do people believe in a piece of information, whether true or false?’. The primary objective of this study is to understand the psychological drivers of belief systems that makes individuals believe any information prior assessing its veracity. The study specifically tries to understand cognitive biases that influence an individual's decision making about information in digital settings. Based on a quantitative survey with 41 participants, we try to induce cognitivity among the participants and try to measure the effect in their decision making. We find a major portion of our participants being cognitively induced which in turn had a significant effect on their decision making while engaging with information. Furthermore, we try to assess whether an individual's political affiliation has any effects in perceived truthfulness while engaging with political information. This study shows us how easily cognitive bias can be induced and how it affects an individual's belief structure in digital platforms.

Exploring Podcast And Videocast Consumption: A Construct Development And Validation Study Using TPB

Digital content consumption, particularly through podcasts and videocasts, is rapidly reshaping media engagement patterns globally. While existing research has explored general online behavior, there remains a gap in understanding the psychological drivers specific to digital audio and video content consumption, especially in emerging markets. This study aims developed and validated a Digital Content Consumption (DCC) scale within the Brazilian context, integrating it with the Theory of Planned Behavior (TPB) to enhance our understanding of consumption behavior. A cross-sectional survey was conducted among Brazilian consumers during thew month May of 2023. Participants were recruited through a convenience sample of adult internet users who had consumed podcasts or videocasts within the past month. The primary exposure was the consumption of digital audio and video content. The study employed Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling (SEM) to analyze the data and validate the DCC scale. The final sample comprised 223 participants, with a mean age of 32 years and an even gender distribution. The SEM analysis demonstrated a strong model fit for the DCB scale within the TPB framework. Attitudes emerged as a significant predictor of both intention and behavior in digital content consumption. Utilitarianism was found to mediate the relationship between attitudes and consumption. The DCCB scale showed high internal consistency and construct validity across different demographic subgroups. The development and validation of the DCC scale provide a robust tool for measuring digital content consumption behavior. This study extends the application of the Theory of Planned Behavior to the specific domain of podcast and videocast consumption, offering valuable insights for content creators and marketers. Future research should explore the scale's applicability in diverse cultural contexts and its potential for predicting long-term engagement patterns with longitudinal studies

Tackling Cravings in Medical Weight Management: An Update on Pathophysiology and an Integrated Approach to Treatment

Background/Objectives: Food cravings involve a strong drive to consume palatable foods irrespective of nutritional status. Importantly, cravings contribute substantially to the obesity epidemic. Managing hunger alone is insufficient for weight management as this relates only to homeostatic eating and does not address the complex aetiology of hedonic eating and its crucial role in food cravings. Medical weight management clinics and anti-obesity medication trials do not routinely identify and address food cravings. Methods: We conducted a narrative review of the literature consisting of 115 peer-reviewed articles (original articles and reviews). We included articles focused on food craving pathophysiology, assessment, and management strategies providing contrasts against the current medical model of weight management seen in obesity pharmacotherapy trials as well as the current standard of practise. Results: We outline the neurohormonal and psychological drivers of cravings, which lead to a spectrum of eating behaviours, from comfort food eating to binge eating disorders. We provide an overview of ways of identification and measurement options, including their strengths and weaknesses, and an overview of management strategies and their cravings control efficacy, spanning lifestyle modifications like nutrition and sleep, psychological therapies (i.e., cognitive behavioural therapy [CBT], acceptance-based therapies such as mindfulness) and, last but not least, medications that not only are approved for weight reduction but reduce cravings. Finally, based on these findings, we provide a proposed integrated and iterative model that is able to evolve and adapt to the individual over time in tackling cravings for long-term weight loss maintenance. Conclusions: The findings emphasise the importance of cravings management and provide a synthesis on how cravings can be identified in a medical weight management setting, which can be practically implemented in an integrated iterative model spanning anti-obesity medications that have craving control data to evidence-based lifestyle and psychological interventions.

Messaging effects and psychological drivers for conservation behaviors at Mt. Fuji, Japan

This study demonstrated the differences in behavioral changes caused by two conservation messages through field experiments in Mount Fuji, Japan. The target behavior was to use a cleaning mat set up on a mountain trail to remove non-native plant seeds from the soles of visitors' shoes. To further understand the drivers of behavioral change, a questionnaire survey was used to examine the influence of different conservation messages and psychological and personal factors, including awe, attitudes, and norms. Knowledge linked to behavior and a sense of perceived behavioral control promoted behavior, whereas positive attitudes toward behavior and higher awe negatively impact behavior. Conservation messages interact with norms, and effective message-promoting behaviors differ depending on the norm level. Conservation messages should be selected based on the characteristics of the target segment. Even short conservation messages such as signboards can enhance the effectiveness of behavioral change, and it is valuable to think strategically about message content.

Organizational change during economic downturns: Psychological drivers of employee resistance and management strategies

Organizational change during economic downturns: Psychological drivers of employee resistance and management strategies

Understanding users of online energy efficiency counseling: comparison to representative samples in Norway.

To achieve substantial energy efficiency improvements in the privately owned building stock, it is important to communicate with potential renovators at the right point in time and provide them with targeted information to strengthen their renovation ambitions. The European Union recommends using one-stop-shops (OSSs), which provide information and support throughout the whole process, from planning to acquisition of funding, implementation, and evaluation as a measure to remove unnecessary barriers. For this paper, we invited visitors of two Norwegian websites with OSS characteristics to answer an online survey about their renovation plans and energy efficiency ambitions. The participants visited the websites out of their own interest; no recruitment for the websites was conducted as part of the study (N = 437). They also rated a range of psychological drivers, facilitators, and barriers to including energy upgrades in a renovation project. Their answers were then compared to existing data from representative samples of Norwegian households regarding home renovation in 2014, 2018, and 2023, as well as data from a sample of people who were engaged in renovation projects in 2014, which was collected by the research team with a similar online survey. Furthermore, 78 visitors completed a brief follow-up online survey one year later to report the implemented measures. We found that visitors of the websites are involved in more comprehensive renovation projects and have substantially higher ambitions for the upgrade of energy efficiency compared to the representative samples. They also perceive stronger personal and social norms, as well as have a different profile of facilitators and barriers. The findings suggest to policymakers that OSSs should be marketed especially to people motivated to upgrade energy efficiency but lack information and are unable to implement their plans alone. Also, the construction industry might refer interested people to such low-threshold online solutions to assist informed and more ambitious decisions.

When digital spaces matter: The influence of uniqueness and place attachment on self‐identity expression with brands using generative AI on the metaverse

AbstractGenerative artificial intelligence technologies are transforming brand‐customer interactions by offering highly personalized and dynamic virtual experiences. This underscores the importance of studying their significant impact on customer experiences in the Metaverse. Accordingly, the study aims to explore how users' attachment to the Metaverse relates to the underlying psychological drivers of customer engagement with brands using generative AI in the digital realm. A mixed‐method approach was adopted, beginning with an exploratory study that involved in‐depth interviews with 24 participants to gain an initial understanding of consumers' psychological and behavioral reactions to brands in the Metaverse. An empirical study was then conducted, surveying 407 UK‐based users of virtual worlds who interacted with brands using generative AI on these platforms. The goal was to understand how the need for uniqueness influences self‐identity expression and to examine how these factors are affected by attachment to virtual places. The research highlights the nuanced relationship between the pursuit of uniqueness and the integration of brand narratives into one's identity particularly when supported by highly personalized, adaptive AI technologies.

Psychological Driver Sensitivity in Lattice Hydrodynamic Traffic Model under Passing Behaviour

Objectives: In order to control and manage the traffic flow in contexts of congestion, real-time highway traffic flow models play a significant role in intelligent transportation system. The objective of our investigation is to examine the effect of psychological driver sensitivity (PDS) when coupled with passing behaviour. Methods: In this study, we developed the lattice hydrodynamic (LH) model which is a good and simple representation for solving traffic problems. Its variants have been valuable tools in traffic research and also contributed to our understanding of traffic phenomena and the development of traffic management strategies. The effect of the proposed LH model with the factor PDS and passing is examined through linear stability analysis. Employing nonlinear stability analysis, we are able to establish the permissible range of PDS values in conjunction with a passing constant, ensuring the existence of kink soliton solution for the mKdV equation. Findings: To validate our theoretical findings, we conducted numerical simulation, conclusively demonstrating that the integration of PDS with passing in the proposed model, can efficiently mitigate traffic congestion. When we fix the passing coefficient and vary the PDS coefficient, we identify the enlargement of stable region with small PDS values. Similarly, by fixing the PDS coefficient varying passing coefficient reveals the enlargement of stable region with small passing values. Novelty: Results displayed that the stability performance of the proposed model is higher than the existing LH model with passing and found that our proposed model performs better than existing models to alleviate traffic congestion and improve traffic flow. Keywords: Traffic flow, Lattice hydrodynamic model (LHM), Psychological driver sensitivity (PDS), Passing effect, Stability

Strengthening sustainable consumption behavior in high school students: Evaluation of an experiential training intervention targeting psychological determinants

Designing effective educational measures constitutes a key area of action for achieving global sustainability goals. Therefore, the present study examined a training addressing sustainable consumption practices in plastic reduction, fashion and food. An interactive training was held in a German comprehensive high school with grade 11 students, addressing psychological drivers of sustainable consumption behavior, namely, awareness and knowledge, emotional, rational and value-based factors. The training was evaluated in a pretest(t1)/posttest(t2)/follow-up(t3) design. Final self-report data was obtained from 77 pupils in t1 and t2 and 56 pupils for all three points of measurement. Results of a repeated measures MANOVA indicate significantly higher levels of all outcome variables directly after the training. Significant long-term effects emerge on the knowledge of sustainable consumption alternatives, anticipated feelings of guilt, perceived norms in the individual’s social environment, perceived control over one’s own behavior, as well as sustainable consumption behavior in everyday life. Taken together, results suggest the training to be an effective instrument for furthering actual sustainable consumption practices of young pupils. Its implementation during school hours with regular-sized classes offers a low expenditure educational approach for sustainable consumption.

Online consumer demand during and after natural disasters: Evidence from the COVID-19 pandemic

Natural disasters arouse threats of health and economic damage, altering consumer behavior in both the short term and the long term. By adapting coping theory to health and economic threats, this study examines the heterogeneous impacts of epidemic disasters, in the COVID-19 pandemic context, on online consumer demand by product type and their dynamics after stabilization. Our results show that the local epidemic outbreak initially increased (decreased) the online demand for essential (discretionary) goods, but the increased purchasing of essential goods diminished as the associated risks were alleviated, whereas the decreased demand for discretionary goods persisted. Additional analyses reveal that engaging more with online consumers during disastrous periods helps retain a specific type of consumer even after stabilization. Our findings highlight the role of threats as psychological drivers in changing online demand, providing managerial implications for online retailers on how to convert threat-driven consumers into regular customers afterward.

How Subjective Socioeconomic Status Influences Pro-Environmental Behavior: The Mediating Role of Sense of Control and Life History Strategy.

Understanding the psychological drivers of pro-environmental behavior across different socioeconomic statuses (SESs) is crucial for effectively addressing environmental challenges. To assist businesses and management departments in adequately identifying the psychological characteristics of target consumer groups from different SES backgrounds, our research manipulated subjective SES through three experimental studies to investigate the influence of subjective SES on pro-environmental behavior. Studies 1 and 2 adopted online experiments to examine the influence of subjective SES on pro-environmental behavior within the private sphere and the public sphere. Subsequently, Study 3 further investigated the psychological mechanisms through which subjective SES influences pro-environmental behavior. These results indicated that individuals from high SES backgrounds exhibit a greater propensity for green consumption behavior and contribute more financially to environmental organizations than those from low SES backgrounds. In addition, these studies further elucidated that the sense of control and life history strategy sequentially mediate the relationship. These findings provide empirical evidence for understanding whether and how subjective SES influences pro-environmental behavior, and enriching the theoretical framework of the relationship between subjective SES on pro-environmental behavior.