Dual Process Research Articles

Developing Luxury Jewellery Consumption Scale: Integrating Dual Process Theory and Theory of Consumption

Abstract Objectives Driven by the Dual Process Theory and the Theory of Consumption, the purpose of this paper is to provide a refined scale for luxury consumption motives in addition to categorising the motives into emotional and rational concepts. Methods/Approach A non-probability convenience sampling technique was used to collect the data from 350 participants. Exploratory and confirmatory factor analyses were used to refine a luxury consumption motive scale. Results The findings showed price, quality, and investment as rational motivators, and conspicuousness, hedonism, self-identify, and uniqueness, as emotional motivators are extracted as dimensions of the luxury consumption scale, specially fitted for jewellery. Conclusions The present study makes a significant contribution with regards to creating a unanimous refined scale for luxury consumption motives of jewellery and categorising them into emotional and rational.

“Servants not Soldiers”: The Origins of Slavery in the United States Army, 1797–1816

Abstract: This article illuminates a lesser-explored aspect of the United States as a “slaveholding republic.” Between 1816–1861, the U.S. Army relied on thousands of enslaved persons who served as officers' servants. In 1816, Congress authorized allowances, rations, and bonuses for officers' private servants while putting an end to the practice of soldiers serving as servants. This legislative move effectively subsidized and incentivized military slaveholding. The paper delves into the political circumstances and legislative maneuvers that led Congress to institutionalize military slavery, establishing mechanisms to sustain, fund, and expand the number of enslaved servants. Military slavery developed gradually with the foundation, bureaucratization, and professionalization of an American military peace establishment. It evolved from 1797 to 1816 through competing policy objectives, resulting in a long-lasting bureaucratic workaround euphemistically termed "servants not soldiers." Facing public criticism over officers’ abuse of soldiers’ labor, the army “outsourced” officers’ servants through a dual process of privatization and racialization, differentiating between “public” and “private” service, between free, white soldiers and enslaved, black servants. Though serving slaveholders’ interests, the adopted solution was a product of bureaucratic contingencies and ad-hoc decision-making and not a policy orchestrated by a cabal of enslavers. Interestingly, a basic question of reimbursement led somewhere unanticipated, ending in government-sponsored enslaved servitude. Acknowledging this contingency does not excuse the actions but underscores how slavery was often "solved" through institutional accommodation rather than political or moral opposition. Thus, slavery directly impacted the U.S. Army, a central national institution, altering the military system at its pivotal, formative moments.

Multiple staging of pressure retarded osmosis: Impact on the energy generation

As pressure retarded osmosis (PRO) is getting more attention for sustainable energy generation, further investigation to enhance its efficiency is required. Applying a multiple-stage PRO scenario is one suggestion to boost the generated energy in the PRO process. This research evaluates the benefit of multiple stages of pressure retarded osmosis on specific energy generation. Single, dual, ternary, and quaternary pressure retarded osmosis stages were investigated for power generation using four membrane modules in the PRO process. Eight designs were proposed to cover the arrangement of the membrane modules in a single, dual, ternary and quaternary PRO process and estimate the net-specific energy generation of pressure retarded osmosis. For each design, the variation in the total energy input and the total energy output of single and multistage pressure retarded osmosis processes were calculated. The water flux and the power density enhanced with the number of stages for the investigated multistage PRO scenarios. The maximum water flux and power density resulted in four PRO stages of values equal to 6 L/m2.h and 15 W/m2, respectively. For the Dead Sea-reverse osmosis brine salinity gradient, a 33.96 % rise in the net specific energy generation is observed in the quaternary-stages pressure retarded osmosis scenario. The Dead Sea and wastewater salinity gradients produced the highest net specific energy generation of 0.82 kW.h/m3 over the other investigated types of salinity gradients.

Remote Monitoring of Patients after Allogeneic Stem Cell Transplantation: A Mobile Phone Application to Report Symptoms, Vital Signs and Activity in Real Time

Introduction: One of the major obstacles for early inpatient discharge after allogeneic stem cell transplantation (aSCT) is, aside from frailty and bloodwork required, the high risk for infections and the need for monitoring of graft versus host disease (GvHD). This requires frequent hospital visits which are often a challenge especially when travelling to hospitals imposes significant costs for the patient. Furthermore, structured data acquisition in the home care setting is missing. Methods: We have developed a fully patient centered, easy to operate mobile phone application for aHSCT patients that allows for treatment specific symptom reporting. In combination with a wearable device (smart watch), a blood pressure monitor and a thermometer, this application incorporates online monitoring of all major vital signs in almost real time. The application currently captures more than 50 static and dynamic metrics relevant for aSCT and provides a photo function to capture skin images in a patient specific image library. Daily symptom reporting can be performed as often as necessary and data from wearable devices are obtained in very high frequency. Symptom reporting includes information on general wellbeing, nausea, oral mucositis, bowel movement frequency and consistency, information on oral calorie and fluid uptake, and it captures and calculates body surface areas affected by rash. All data are streamed in almost real time and displayed on a browser-based dashboard to the healthcare team. The user interface for the physician dashboard was developed using the React JavaScript library whereas the mobile application utilized React Native to enable Android and iOS applications. The collection, storage, and presentation of patient data via the physician dashboard is facilitated using various AWS technologies such as Lambda, S3 and Timestream. Data can be stored according to federal laws and regulations the software is operating in. Access to the dashboard is center-specific and secured by a dual verification process. Summary: Daily symptom reporting by the patient is easy, comprehensive and can be completed within minutes. Data from wearable devices are obtained 24/7 at high frequency. All data are displayed on a dashboard to the corresponding physician with only a few minutes delay. The system captures vital signs (blood pressure, temperature, pulse, breathing rate, oxygen saturation, etc.) and GvHD related symptoms such as skin rash including body surface area affected, and frequency/volume of bowel movements. It provides information based on the patient's physical activity, food intake, fluid intake, sleeping patterns in a structured fashion. The physician's dashboard displays all transplant relevant static information like HLA match, conditioning regimen, type of immunosuppression, ABO incompatibility, serologies of patient and donor. It displays all data reported longitudinally and allows physicians to observe trends and developments providing interactive graphs on each metrics. It provides a medication plan that captures daily dosage, duration of treatment and calculates cumulative doses. Changes in medication and dosing will alert the patient on the mobile phone application. All data can be obtained in a structured fashion for research purposes by the participating institution. Conclusion: This mobile phone application in combination with a wearable device allows for remote monitoring of patients after aHSCT. Its function is comprehensive and not only provides structured data, but allows for monitoring success of medical treatment. It is developed in a modular fashion that can be easily adapted to specific requirements in other cell therapies such CAR CD19, AML induction therapies or autologous SCT.

Single mother parenting of children with autism spectrum disorder: A qualitative photo‐narrative study

AbstractOver the past few decades, there has been a shift from the traditional family structure, with more acceptance of different structures, including those led by single parents. This qualitative photo‐narrative study aimed at making the voices of single mothers raising children with autism spectrum disorder (ASD) heard. According to the literature, parenting a child with a disability can be very stressful on several different levels. Seven single mothers living in southern Israel and parenting children with ASD told their life stories and took photographs depicting their motherhood experience. The data underwent thematic content analysis. The main themes that emerged were the shattering of the family dream, the mothers and the educational setting, the present in the shadow of the future, single parents' support resources and the mothers' search for meaning. The data demonstrated that the mothers' daily life was rife with challenges. Providing assistance and support during different stages, including diagnosis, educational transitions and daily struggles, as outlined in the Dual Process Model of Coping with Bereavement, was crucial. The mothers also stressed that they drew strength from their love for their child and their existing support systems.

Approximate filtering via discrete dual processes

We consider the task of filtering a dynamic parameter evolving as a diffusion process, given data collected at discrete times from a likelihood which is conjugate to the reversible law of the diffusion, when a generic dual process on a discrete state space is available. Recently, it was shown that duality with respect to a death-like process implies that the filtering distributions are finite mixtures, making exact filtering and smoothing feasible through recursive algorithms with polynomial complexity in the number of observations. Here we provide general results for the case where the dual is a regular jump continuous-time Markov chain on a discrete state space, which typically leads to filtering distribution given by countable mixtures indexed by the dual process state space. We investigate the performance of several approximation strategies on two hidden Markov models driven by Cox–Ingersoll–Ross and Wright–Fisher diffusions, which admit duals of birth-and-death type, and compare them with the available exact strategies based on death-type duals and with bootstrap particle filtering on the diffusion state space as a general benchmark.

The triple refinement of self-paced learning style for unsupervised cross-domain person re-identification

Unsupervised cross-domain person re-identification based on clustering typically involves generating pseudo-labels for all training data. However, some data are prone to generating incorrect pseudo-labels in the early stages of training, which leads to a decrease in the accuracy of the model. Based on the idea of self-paced learning, from easy to difficult and from a few to many samples, we propose the Triple Refinement of Self-paced Learning style (TRSL) method to solve this problem. Firstly, we use the density-based clustering algorithm DBSCAN to perform the first data refinement on the unlabeled data. Then, in the second refinement step, we calculate the challenge value by exploring the distance distribution between the clustering data and the centroids to refine the data. In the third refinement step, we calculate the credibility value of the data by comparing the k-nearest neighbor ranking lists of the local and global features of the images, use the credibility value to recall the discarded data from the dual refinement process, and perform a third filtering on the retained data. Finally, the processed data is input into a pair of mutually beneficial learning models for training. On top of a strong baseline, our method performs better than the recent state-of-the-art methods in some evaluation metrics.

Mercy does not hold the army: a study on the dark side effect of benevolent leadership

PurposeThe purpose of this study is to examine the mechanism of benevolent leadership on employee cheating behavior through two paths – employee uncertainty and perceived acceptability of norm violation – and also reveal the possible dark side of benevolent leadership. Meanwhile, the moderating effects of leader behavioral integrity in the cognition dual path process are also discussed.Design/methodology/approachThis study invites 383 employees and their superiors in seven Chinese enterprises as the research objects and conducts a paired survey at three time points, and then Mplus 7.4 software is used to analyze the empirical data.FindingsThe results are shown as follows. Benevolent leadership plays a positive role on uncertainty and perceived acceptability of norm violation. Uncertainty and perceived acceptability of norm violation mediate the relationship between benevolent leadership and cheating behavior, respectively. Leader behavioral integrity moderates the positive role of benevolent leadership on uncertainty and perceived acceptability of norm violation. Leader behavioral integrity moderates the indirect effect of benevolent leadership on employees' cheating behavior through uncertainty and perceived acceptability of norm violation.Originality/valueThis study reveals the mechanism behind the negative role of benevolent leadership through the cognition reaction of employees to benevolent leadership and broadens the research scope of benevolent leadership. Meanwhile, it provides some practical inspiration for leaders to effectively use the benevolent leadership style and restrain employees' cheating behavior.

A meta-analysis of teachers’ provision of structure in the classroom and students’ academic competence beliefs, engagement, and achievement

Structure reflects a variety of practices teachers use with the intent to guide students’ behavior and increase academic success. A research synthesis was conducted on the role of classroom structure in the academic engagement, disengagement, competence beliefs, and achievement of preschool through high school students. A meta-analysis of 191 samples from 165 correlational studies revealed statistically significant correlations with achievement (.11), engagement (.28), and competence beliefs (.22), and a statistically non-significant relationship with disengagement (–.08). A meta-analysis of 71 samples from 46 structure intervention studies revealed a positive statistically significant average effect (g) on achievement (0.33), engagement (0.46), and disengagement (–0.34), but a statistically non-significant effect for competence beliefs (0.26). Consistent with a dual process model of engagement, associations were stronger for engagement than disengagement. Results related to variation suggested some universality, particularly across grade levels, and underscored the importance of emphasizing anticipatory strategies, minimizing the controlling aspects of structure, and considering the broader context, including the country context, income background of students, or whether structure is paired with other psychological supports. Methodological features also explained variation, highlighting the importance of using methods that center teachers’ and students’ experiences and align with the nature of the focal outcome.

Material extrusion additive manufacturing of dual material composite thermoset silicone components

AbstractAdditive manufacturing (AM) is a disruptive manufacturing process that gives designers freedom to create highly complex shapes through free‐form fabrication. The majority of polymers used in extrusion AM are thermoplastics because they are easy to process in affordable machines. While there are a number of moderate modulus thermoplastics in regular use in AM, thermoplastics are known to weaken with increases in temperature or exposure to solvents and many commodity thermoplastics used in AM are brittle. On the other hand, there are few elastomers, and even fewer elastomer reinforcement schemes, that are accessible using standard AM technologies. In this work, we report a novel dual extrusion process that integrates elastomeric silicone with reinforcing thermoplastic. By developing and demonstrating a dual extrusion 3D printer that can process common thermoplastics with commercially available thermosetting silicones, new types of composite elastomers are reported with good mechanical performance. The 0°/20°/−20° grid pattern thermoplastic reinforced samples achieved 2.5 MPa tensile strength in low extension region (0.5 strain), which improves the initial stiffness of the composite component. Desired mechanical responses of composite structures can be realized by tuning the reinforcement volume ratio and infill percentages, and applying various types of reinforcement mesh patterns and thermoplastics.Highlights A dual extrusion process integrates fus filament fabrication and direct ink writing technologies. Thermoplastic reinforced silicone composite with stiff/soft properties. Tunable volume ratio, infill percentage, mesh pattern, and material option.

Predicting Exercise Behavior Among Caregivers of Persons With Dementia-A Longitudinal Investigation Using an Extended Health Belief Model.

Family caregivers of persons with dementia face an elevated risk of several chronic illnesses compared to their noncaregiver counterparts. Although exercise is a strong preventive measure for several debilitating health conditions, longitudinal research guided by theoretical frameworks has not identified how behavioral determinants predict exercise among caregivers. This study aimed to investigate how intrapersonal exercise determinants contribute to caregivers' exercise participation while accounting for social-contextual factors, including perceived caregiving burden and pandemic-related distress, by employing an extended Health Belief Model. The study was a longitudinal observational design. Community-dwelling older adult family caregivers of individuals with dementia (n = 127) were recruited with the support of a nonprofit organization. Participants completed measures of the Health Belief Model that also included dual process constructs (intention and habit), along with caregiving burden, pandemic-related distress, and exercise behavior across three consecutive months. Data were analyzed using a multilevel structural equation model with participants (Level 2) nested within time (Level 1). The model revealed direct effects of caregiving burden that debilitate perceived behavioral control, attitudes, threats, and worsen burden, in addition to hampering intention and habit when accounting for total effects. Pandemic-related distress exacerbated caregiving burden and weakened Health Belief Model constructs via total effects. These findings inform constructs to develop a community-based education program for family caregivers to successfully adopt and maintain exercise behavior. Incorporating supportive resources and coping strategies for caregivers of persons with dementia is needed to address the effects of behavioral deterrents.

Changes in food consumption behavior during the COVID-19 pandemic: a dual process approach on female college students in China

PurposeThis study aimed to investigate changes in food consumption during the COVID-19 lockdown period in a sample of female college students in China. The study employed a dual processing approach that simultaneously investigates the effects of students' beliefs about the importance of healthy eating and the effect of emotional eating due to anxiety induced by the pandemic.Design/methodology/approachData were collected from 645 female college students in China using a self-administered questionnaire. Structural equation modeling was used for the data analysis.FindingsBeliefs about the importance of healthy eating have a greater impact on changes in food consumption than anxiety. Emotional eating was positively associated with changes in vegetable consumption. The findings reveal that a shift from “food as health” to “food as well-being” in the role of food in the food-related life of Chinese consumers is underway. “Food as health” remains important in food-related decision-making in China during the pandemic. Concurrently, a well-being centered or a more holistic perspective, including the psychological and emotional aspects of food, should be included in food-related research and health promotion in China.Originality/valueThis study contributes to the literature on reactions to the COVID-19 pandemic by simultaneously investigating both the cognitive impact of beliefs regarding the importance of healthy eating and the affective impact of anxiety on changes in food consumption due to COVID-19.

How Do Two Types of Exercise Habits Predict Physical Activity with Intention?

This manuscript investigates how conscious intention and unconscious exercise habits influence physical activity behavior. While prior research has predominantly focused on conscious decision-making, this study applied a dual-process model to explore the impact of intention and habit on physical activity engagement. Out of the 300 questionnaires distributed to students from one university, 282 questionnaires were utilized for data analysis after excluding insincere responses. Intention was measured using a 7-point scale, while exercise habits were assessed using the Self-Report Behavioral Automaticity Index. In addition, physical activity was measured using the Weekly Leisure-Time Exercise Questionnaire. The validity and reliability of measurement tools were confirmed. Data were analyzed using SPSS and AMOS, including correlation analysis, multiple regression, and moderation analysis. Intention, exercise preparation habit, and exercise performance habit were all found to influence physical activity levels significantly. Intention demonstrated the strongest impact, followed by exercise preparation habit and exercise performance habit. This suggests that the research efforts regarding intention conducted before the emergence of the dual process model, which proposes the importance of unconscious thinking patterns, were not in vain. The analysis revealed a statistically significant moderating effect of exercise preparation habit, but not exercise performance habit, in the relationship between intention and physical activity. Exercise preparation habit was identified as a significant moderator, enhancing the relationship between intention and physical activity. This study underscores the importance of considering both conscious intention and unconscious exercise habits in promoting physical activity. The findings challenge the prevailing emphasis on conscious decision-making and highlight the need for a more comprehensive understanding of unconscious behavior in health behavior interventions. This study is expected to arouse academic interest in the often-neglected area of unconscious behavior.

The role of working memory as a moderator of implicit associations in young adults’ alcohol use

ABSTRACT Background Alcohol use is significantly accentuated in young adults, making it important to explore the mechanisms underlying consumption. According to the dual process model, implicit associations have a significant influence on alcohol consumption. Literature has been shown that working memory can moderate the effect of implicit associations on alcohol use and its consequences on hazardous drinkers but conclusions about subjects with other drinking patterns are contradictory. Objective This study aimed to assess the moderating role of working memory on the relationship between implicit associations and alcohol use and its consequences in a sample with a low-risk drinking pattern. Methods Sixty-five young adults aged between 18 and 25 years were included. Participants answered questions about measures of consumption pattern, alcohol-related consequences, implicit alcohol-identity associations and working memory. Results Evidence was found about the moderating role of working memory; in individuals with lower working memory there is a stronger link between alcohol-related implicit associations and alcohol use and its consequences. Conclusions Our findings highlight the crucial role of working memory across different levels of consumption, allowing us to outline efforts that may prevent the evolution to more severe consumption patterns.

Teacher educator learning to implement equitable mathematics teaching using technology through lesson study

PurposeThis paper examines how mathematics teacher educators (MTEs) learn to enact equitable mathematics instruction using technology through lesson study (LS).Design/methodology/approachA LS team with three MTEs conducted three iterations of LS on teaching the Pythagorean Theorem in an in-person, technology-mediated environment. Many forms of data were collected: Desmos activities, videos of research lessons (RLs), videos of MTE RL debriefings, artifacts of student learning in the Desmos Dashboard, and MTEs' written self-reflection. The authors investigate the teacher educators' learning through LS by analyzing the MTE debriefings of the RLs using Bannister’s (2015) framework for teacher learning in communities of practice.FindingsThe MTEs learned to enact equitable mathematics instruction using technology through addressing emerging issues related to intellectual authority and use of student thinking. Throughout the LS, the MTEs sought ways of promoting students' mathematical authority and using student thinking through features of the Desmos platform.Research limitations/implicationsThis study focuses on MTEs' learning without examining participating preservice teachers' learning. It demonstrates the benefits of LS for MTEs' professional learning.Practical implicationsThis study showcases how a research-based Desmos activity is used and refined to promote MTE learning how to implement equitable mathematics instruction.Originality/valueThe study contributes to better understanding of how LS could be used to develop MTEs' professional learning. Moreover, the dual process of participation and reification was concretized through diagnostic and prognostic frames in the LS context, which enriches the concept of community of practice.

Exploring accelerating hairy black holes in 2+1 dimensions: the asymptotically locally anti-de Sitter class and its holography

In the realm of lower-dimensional accelerating spacetimes, it is well-established that the presence of domain walls, which are co-dimension one topological defects, is a necessary condition for their construction. We expand upon the geometric framework employed in the generation of such spacetime solutions by incorporating a conformally coupled scalar field within the matter sector. This endeavor leads to the identification of several new families of three-dimensional accelerating spacetimes with asymptotically locally anti-de Sitter (AdS) behavior. Notably, one of these solutions showcases a hairy generalization of the accelerating BTZ black hole. This solution is constructed at both slow and rapid phases of acceleration, and its connection with established vacuum spacetime models is explicitly elucidated. The inclusion of the scalar field imparts a non-constant Ricci curvature to the domain wall, thereby rendering these configurations particularly suitable for the construction of two-dimensional quantum black holes. To establish a well-posed variational principle in the presence of the domain wall, two essential steps are undertaken. First, we extend the conventional renormalized AdS3 action to accommodate the presence of the scalar field. Second, we explicitly incorporate the Gibbons-Hawking-York term associated with the internal boundaries of our geometries and account for the tension of the domain wall in the action. This dual step process enables us to derive the domain wall field equations via the variational principle. Consequently, the action furnishes the appropriate quantum statistical relation. We engage in holographic computations, thereby determining the explicit form of the holographic stress tensor. In this context, the stress tensor can be expressed as that of a perfect fluid situated on a curved background. Additionally, it paves the road to ascertain the spacetime mass. Finally, we close by demonstrating the existence of three-dimensional accelerating spacetimes with asymptotically locally flat and asymptotically locally de Sitter geometries, particularly those embodying black holes.

The Dynamics of Land Rents in Housing Submarkets: A Marxian Perspective

AbstractThis theoretical study delves into the dynamics of housing submarkets with the framework of Marxian land rents. It examines the relationship between residential spaces and the reproduction of labour power in terms of commuting and the differentiated quality of reproduction by submarket. This study shows that the differentiation process of venturing to create distinct spaces for surplus profit and the emulation process of copycatting spaces of higher rents consequently form multiple housing submarkets, each characterised by different land rents of monopoly, intra‐differential rent (intra‐DR) and inter‐differential rent (inter‐DR). The coexistence of these multiple layers of land rents, in turn, becomes a driving force propelling dynamic capital movements that seek to exploit rent gaps between the layers. To illustrate these concepts, the study reviews the case of high‐rise mixed‐use residential developments in Seoul, highlighting the dual dynamic processes through which land rents are pursued.

Enhanced dopant incorporation into SnO2 thin films based on dual source spray pyrolysis deposition process

Recently, SnO2 has attracted much attention for optoelectronic applications in infrared (IR) spectral ranges due to its high transparency in the ultraviolet to IR wavelength spectral range and high electrical conductivity. The transition metal-doped SnO2 based on the ultrasonic-assisted spray pyrolysis deposition (SPD) method has been widely used for various optoelectronic applications. However, the SPD process has suffered from inefficient doping of foreign elements due to difficulties in controlling the single precursor source solutions and complicated solution dynamics. To overcome these problems, the co-SPD process supplying the host and dopant solutions separately was suggested for the deposition of the Zn-doped SnO2 thin films. The Zn-doped SnO2 thin films deposited by co-SPD showed insulating electrical properties due to the efficient incorporation of the Zn element as an oxygen vacancy scavenger and acceptor to annihilate the free charge carriers. Also, the Zn-doped SnO2 films showed an IR transmittance of over 80 %, maintained at a temperature of up to 500 ℃. Thus, the co-SPD process can be a promising approach to achieve highly doped oxide films with high IR transmittance even at elevated temperatures.

Influence of loss- and restoration-oriented stressors on grief in times of COVID-19

This study aimed to examine the influence of COVID-specific stressors on cross-sectional and longitudinal bereavement outcomes. According to the Dual Process Model of grief these stress-inducing factors can relate to the loss (loss-oriented stressors) or to manage everyday life (restoration-oriented stressors) and require coping in the grief process. A total of 491 participants (94.1% female; 43.92 years on average; 44.4% loss of a parent) were included at the first measurement time point (T0), of whom 99 individuals also participated in a follow-up assessment 6 months later (T1). Participants frequently reported loss-oriented (on average 7.30 out of 21 queried) and restoration-oriented stressors (on average 6.99 out of 19 queried). Cross-sectionally, higher acute grief intensity was associated with a higher number of loss-oriented stressors, poorer mental well-being, and sociodemographic variables. This effect disappeared longitudinally, with only acute grief intensity and poorer mental well-being at T0 predicting higher prolonged grief at T1. Common resilience factors did not buffer the effects of the pandemic on grief. Loss-oriented stressors seem to be especially relevant for understanding grief and might be a mediator of higher long-term grief. The findings suggest that COVID-specific strains need to be specifically taken into account in the support of bereaved individuals.

Exploring determinants of formation of cognitive anchors from altruistic messages: A fuzzy DEMATEL approach.

Altruistic communication by non-profit organizations plays a crucial role in shaping individuals' perceptions and beliefs about altruism. One of the indicators of effective communication is the anchoring of the messages. Therefore, understanding the underlying determinants of anchoring in altruistic communication is essential. Despite the importance of anchoring in the communication of altruism, extant research has not done much to examine the determinants of anchoring in altruistic communication. This paper investigates the determinants of anchoring in non-profit organizations' altruistic communication through the lens of the dual process theory. It applies the Fuzzy Decision Making Trial and Evaluation Laboratory (F-DEMATEL) method to analyze the causal and effect factors. Data were gathered from 12 social communication experts based in Taiwan. Out of the 12 proposed determinants, three factors, namely consistency, cultural consideration, and emotional anchoring, were established as significant causal factors. Consistency had causal effects on five other factors, namely, the use of metaphors, the use of antinomies, thematic anchoring, understanding the cognitive ability of the audience, and crafting engaging information. Cultural consideration had causal effects on feedback, naming, use of antinomies, thematic anchoring, emotional anchoring, and repetition. Emotional anchoring had causal effects on thematic anchoring, use of antinomies, use of metaphors, consistency, naming, feedback, understanding the cognitive ability of the audience, and repetition. On the other hand, feedback, naming, and use of antinomies were established as significant effect factors. The study's findings offer crucial contributions to the social communication literature and provide important insights for social communication practitioners.