Drivers Of Acceptance Research Articles

Digital Natives and Signalling in Employment Interviews: An Inquiry into the Acceptance and Perceived Fairness of Different Interview Modes

The paper investigates the signalling behaviour of digital native applicants in employment interviews and analyses how their reactions differ in face-to-face versus video-mediated contexts. The social presence within the interview setting and the possibility of employing impression management tactics are of particular interest to understanding the subjective acceptance and perceived fairness of the two types of selection procedures. The analyses of novel primary data from a German survey with 513 valid responses reveal that digital natives, similar to older applicants, appreciate signalling to lower information asymmetries. Regardless of interview mode, social presence and impression management are strong positive drivers of acceptance and perceived fairness. While members of the generational cohort still accept face-to-face interviews more than those mediated by videoconferencing technology, they perceive the former as less fair. This result, which may be explained by the specific characteristics of digital natives, contradicts the findings of studies that have investigated preceding generations. Hence, the paper complements the literature on applicant reactions by focusing on two younger generational cohorts, namely Generation Y and Z. Furthermore, the adoption of the signalling framework in this context suggests that the beneficial effects of signalling may stand vis-à-vis feelings of unfairness, which can be interpreted as additional psychological costs that are driven by moral considerations.

Factors influencing geographic gender disparity in neurosurgery: a nationwide geospatial clustering analysis.

Women neurosurgeons (WNs) continue to remain a minority in the specialty despite significant initiatives to increase their representation. One domain less explored is the regional distribution of WNs, facilitated by the hiring practices of neurosurgical departments across the US. In this analysis, the authors coupled the stated practice location of WNs with regional geospatial data to identify hot spots and cold spots of prevalence and examined regional predictors of increases and decreases in WNs over time. The authors examined the National Provider Identifier (NPI) numbers of all neurosurgeons obtained via the National Plan and Provider Enumeration System (NPPES), identifying the percentage of WNs in each county for which data were appended with data from the US Census Bureau. Change in WN rates was identified by calculating a regression slope for all years included (2015-2022). Hot spots and cold spots of WNs were identified through Moran's clustering analysis. Population and surgeon features were compared for hot spots and cold spots. WNs constituted 10.73% of all currently active neurosurgical NPIs, which has increased from 2015 (8.81%). Three hot spots were found-including the Middle Atlantic and Pacific divisions-that contrasted with scattered cold spots throughout the East Central regions that included Memphis as a major city. Although relatively rapidly growing, hot spots had significant gender inequality, with a median WN percentage of 11.38% and a median of 0.61 WNs added to each respective county per year. The authors analyzed the prevalence of WNs by using aggregated data from the NPPES and US Census Bureau. The authors also show regional hot spots of WNs and that the establishment of WNs in a region is a predictor of additional WNs entering the region. These data suggest that female neurosurgical mentorship and representation may be a major driver of acceptance and further gender diversity in a given region.

Drivers of electric vehicle adoption: the moderating role of technological innovativeness

PurposeThis research examines the drivers of electric vehicle (EV) acceptance in the Kingdom of Saudi Arabia (KSA) by applying the unified theory of acceptance and use of technology (UTAUT) model, contextualized for the EV setting. The study aims to provide insights supporting the transition to sustainable transportation and identifying consumer perceptions and behavioral intentions toward EV adoption.Design/methodology/approachBased on survey data from a convenience sample collected from undergraduate and MBA students in a major university of KSA, the authors use seemingly unrelated regressions to provide novel insights on electric vehicle acceptance.FindingsThe study shows UTAUT constructs influence purchase intentions and attitudinal outcomes. Results indicate that perceived EV sustainability plays an important role in the relationship between UTAUT constructs and purchase intention alongside attitudes toward EV technology. Technological innovativeness enhances the impact of EV attitude and weakens the effect of perceived EV sustainability on purchase intention.Research limitations/implicationsThe study benefits researchers on sustainable technology acceptance and stakeholders facilitating sustainable transportation shifts. The insights guide the promotion of eco-friendly transportation solutions.Originality/valueThe research contextualizes and extends the UTAUT model constructs to understand drivers of EV acceptance. The study contributes to understanding sustainable innovation acceptance, considering the mediating role of perceptions of EV sustainability and the moderating role of technological innovativeness in driving purchase intentions.

A REVIEW OF THE ACCEPTANCE ON LEARNING MANAGEMENT SYSTEM (LMS) USING UNIFIED THEORY ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

Technology advancement in the world nowadays has dramatically evolved, especially in education trends. LMS has become increasingly popular in higher education institutions because it provides a centralised platform for course materials, assignments, and communication. However, despite the benefits that LMS can offer, its adoption by students is only sometimes guaranteed. Conversely, The Unified Theory of Acceptance and Use of Technology (UTAUT) is a popular model for understanding and forecasting whether people will adopt a technology. This review looked at how UTAUT has been applied to examine the acceptance of Learning Management Systems (LMS). It was found that the four main factors in the UTAUT model, “Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions”, can all be important predictors of whether users will accept and use an LMS. The UTAUT model provides a relevant framework for discerning key drivers of user acceptance of learning technologies like LMS. The review found that the relative importance of these constructs can vary depending on the context of use. For example, social influence may be more critical in the context of mandatory LMS adoption. At the same time, facilitating conditions may be essential in voluntary LMS adoption. This review shows things that affect whether people use a new LMS. LMS setup should address user concerns and expectations. Thinking about these user factors can lead to better LMS success. Developers and implementers of LMSs should consider the four key constructs of UTAUT when designing and implementing their systems. Hence, it can increase users’ likelihood of accepting and using the LMS. The findings of this review provide a valuable overview of the factors that influence the acceptance of LMS.

Use of sensory and physico-chemical parameters to understand consumer perception of attiéké, a fermented cassava product.

Cassava breeding research programs focused initially on agronomic performance but in recent years they have considered the processability and the organoleptic properties of the final product, to increase the adoption of new varieties. One important cassava foodstuff is attiéké, a fermented and granular product, so it is necessary to determine criteria used by attiéké processors to select raw cassava and the characteristics leading consumers to like this product. This study assessed the attiéké production process, the criteria associated with the quality of attiéké, the sensory drivers of consumer acceptance, and their thresholds. The total processing yield of attiéké varied according to the cassava variety and depended primarily on the fermentation-pressing yield. However, it was not correlated either with the peeling yield or with morphological characteristics of cassava roots. The production of a ton of attiéké required about 150 h. Dry matter, organic acids, soluble sugars, total pectin, and the pH of raw material and attiéké varied depending on the cassava variety. Ten discriminating sensory attributes of attiéké were identified. Consumer testing showed that overall liking for attiéké was associated with sourness, texture, and brightness. Acceptable sensory score thresholds were 1.67-2.18 for sour odor, 4.75 to 6.3 for cohesiveness, and 5.4 to 6.3 for 'mouthfeel sensation'. Attiéké dry matter correlated positively with cohesiveness and moldability. Several potential solutions are discussed to improve the adoption of cassava varieties for attiéké production. However, further studies need to be carried out to translate the sensory thresholds of texture attributes into robust instrumental methods because texture is an important attribute of attiéké in addition to sourness. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Public acceptance of default nudges to promote healthy and sustainable food choices

BackgroundDefault nudges are an increasingly prominent tool for promoting healthy and sustainable food choices; however, questions of acceptance remain. While default nudges are more acceptable to the public than traditionally paternalistic tools that aim to restrict choice, they are also the least acceptable amongst nudging strategies. Little research has investigated the aspects of default nudge design that can be leveraged to better uphold freedom of choice, increase public acceptance, and therefore heighten legitimacy of default nudges. Consequently, this study examines public acceptance of five food choice default nudges with demonstrated precedent of effectiveness, as drawn from research studies and/or real-world policies, along with a design variation of each anticipated to increase acceptance. Three drivers of acceptance – perceived intrusiveness, perceived effectiveness, and own behavior – are examined.MethodsAn online survey was administered in Germany (N = 451) to a sample representative of the adult population on quotas of age, gender and income. Acceptance and drivers were measured using seven-point Likert scales. Significant differences in median acceptance of the nudge were determined and displayed graphically. Ten proportional odds ordered logit models were applied and estimated using a maximum likelihood approach to investigate the mechanisms of nudge acceptance.ResultsExamined changes in nudge design, particularly decreasing costliness of opting out and increasing transparency, increased the acceptance of three of the five nudges (N2.2: p = 0.000; N3.2: p = 0.000; N4.2: p = 0.008). Perceived intrusiveness emerged as the most prominent driver of acceptance (negative relationship), followed by perceived effectiveness (positive relationship). Own engagement in the target behavior of the nudge and socio-demographic variables demonstrated negligible impact on acceptance.ConclusionsMitigating the costliness of opting out and improving nudge transparency emerge as key opportunities for choice architects to improve public acceptance, and thereby potentially identify ‘sweet spots’ in designing default nudges that are both effective and acceptable. The protection of individual freedom of choice and effectiveness are key aspects for choice architects to communicate to increase acceptance.

Modeling Students’ Perceptions of Chatbots in Learning: Integrating Technology Acceptance with the Value-Based Adoption Model

As technology continues to advance, chatbots are likely to become an increasingly vital tool in education. This study digs further into how students perceive and accept chatbots for use in learning activities. The study examines the integrated relationships between the constructs of the technology acceptance model (TAM) and the constructs of the value-based model (VAM), including perceived enjoyment, perceived risk, and perceived value, to predict students’ attitudes and, consequently, their acceptance of chatbots for learning in higher education. A total of 432 respondents participated in an online survey, and the proposed hypotheses were evaluated through structural equation modeling (SEM-PLS). The study offers useful insights on chatbot adoption in Saudi higher education, as the results highlight important drivers of chatbot acceptance among students, including perceived usefulness, perceived ease of use, attitude, perceived enjoyment, and perceived value. Perceived risk was not a significant predictor of students’ attitudes or their acceptance of chatbot use in learning. The results are expected to foster the adoption of chatbot technology in supporting distance learning in Saudi Arabia’s higher education.

Parental views and the key role of nurses for high vaccine acceptance in Sweden – a focus group study

BackgroundIn Sweden, vaccine uptake is exceptionally high due to an efficient child immunization program. More than 97% of Swedish children were vaccinated at child health care centers (CHCs) according to the schedule at 2 years of age in 2021. From the age of 6 years, vaccinations are given within the school health care. Maintaining high vaccination coverage over time is one of the central motives to explore and understand drivers for vaccine acceptance. The current study aimed to assess parental vaccine acceptance concerning the national immunization program and explore factors contributing to the high vaccine acceptance in Sweden.MethodsParents of children aged 1–2 years and 8–12 years were recruited through purposive sampling and asked to participate in focus groups held in three cities in Sweden, in February and March 2019. In total, 47 parents participated in two focus groups per city, one session for parents of younger (1–2 years) and older (8–12 years) children respectively. The focus group discussions were analyzed using qualitative content analysis.ResultsParents of children aged 1–2 years expressed the themes; strong compliance to and protection of the value of vaccinations; parents feel safe with an attentive relationship with their nurse; the spectrum of communication needs is essential to meet.For parents to children aged 8–12 years, the themes expressed were; vaccinate to do good for the individual and society; a foundation of trust is built at CHCs for decisions later on; decisions for vaccination become more complex as children get older; communication changes as children get older and need to be explicit and tailored to the situation.ConclusionBoth individual and societal perspectives were shown to influence the vaccination decision for childhood immunizations, as manifested in parental reflections and experiences. As nurses have a key role, it is important to provide them with continued support and tools to facilitate their support for parents in making informed decisions. Continuous work for supporting driving factors for vaccination over time is needed to maintain high vaccine acceptance in Sweden.

Exploring genetic variability, heritability, and trait correlations in gari and eba quality from diverse cassava varieties in Nigeria.

Gari (especially in Nigeria) is an important West African food product made from cassava. It is an affordable, precooked, dry, easy to prepare and store food product. Eba is a stiff dough produced by reconstituting gari in hot water. Gari and eba quality is an important driver of varietal acceptance by farmers, processors, and consumers. This study characterized the genetic variability, heritability, and correlations among quality-related traits of fresh roots, gari, and eba. Thirty-three diverse genotypes, including landraces and released and advanced breeding genotypes, were used in this study. In total, 40 traits categorized into fresh root quality, colour, functional, and texture properties trait groups were assessed. We observed broad phenotypic variability among the genotypes used in this study. Dry matter content had a positive (P < 0.05) correlation with gari%, bulk density and a negative correlation with eba hardness and gumminess. Broad-sense heritability across all environments varied considerably among the different trait groups: 62% to 79% for fresh root quality, 0% to 96% for colour, 0% to 79% for functional and 0% to 57% for texture properties. The stable broad-sense heritability found for gari%, gari and eba colour, bulk density, swelling index, and hardness measured using instrumental texture profile analysis coupled with sufficient variability in the population indicate good potential for genetic improvement of these traits through recurrent selection. Also, it is possible to genetically improve gari%, bulk density, and swelling power by simultaneously improving the dry matter content of fresh roots. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Drivers of consumer acceptability of cassava gari-eba food products across cultural and environmental settings using the triadic comparison of technologies approach (tricot).

Nigeria and Cameroon are multi-ethnic countries with diverse preferences for food characteristics. The present study aimed to inform cassava breeders on consumer-prioritized eba quality traits. Consumer testing was carried out using the triadic comparison of technologies (tricot). Diverse consumers in villages, towns and cities evaluated the overall acceptability of eba made from different cassava genotypes. Data from both countries were combined and linked to laboratory analyses of eba and the gari used to make it. There is a strong preference for eba with higher cohesiveness and eba from gari with higher brightness and especially in Cameroon, with lower redness and yellowness. Relatively higher eba hardness and springiness values are preferred in the Nigerian locations, whereas lower values are preferred in Cameroon. Trends for solubility and swelling power of the gari differ between the two countries. The study also reveals that the older improved cassava genotype TMS30572 is a benchmark genotype with superior eba characteristics across different regions in Nigeria, whereas the recently released variety Game changer performs very well in Cameroon. In both locations, the recently released genotypes Obansanjo-2 and improved variety TM14F1278P0003 have good stability and overall acceptability for eba characteristics. The wide acceptance of a single genotype across diverse geographical and cultural conditions in Nigeria, as well as three acceptable new improved varieties in both locations, indicates that consumers' preferences are surprisingly homogeneous for eba. This would enhance breeding efforts to develop varieties with wider acceptability and expand potential target areas for released varieties. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.

Yam (Dioscorea alata L.) is the staple food of many populations in the intertropical zone, where it is grown. The lack of phenotyping methods for tuber quality has hindered the adoption of new genotypes from breeding programs. Recently, near-infrared spectroscopy (NIRS) has been used as a reliable tool to characterize the chemical composition of the yam tuber. However, it failed to predict the amylose content, although this trait is strongly involved in the quality of the product. This study used NIRS to predict the amylose content from 186 yam flour samples. Two calibration methods were developed and validated on an independent dataset: partial least squares (PLS) and convolutional neural networks (CNN). To evaluate final model performances, the coefficient of determination (R2), the root mean square error (RMSE), and the ratio of performance to deviation (RPD) were calculated using predictions on an independent validation dataset. The tested models showed contrasting performances (i.e., R2 of 0.72 and 0.89, RMSE of 1.33 and 0.81, RPD of 2.13 and 3.49 respectively, for the PLS and the CNN model). According to the quality standard for NIRS model prediction used in food science, the PLS method proved unsuccessful (RPD < 3 and R2 < 0.8) for predicting amylose content from yam flour but the CNN model proved to be reliable and efficient method. With the application of deep learning methods, this study established the proof of concept that amylose content, a key driver of yam textural quality and acceptance, can be predicted accurately using NIRS as a high throughput phenotyping method. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Drivers of social acceptance of natural-resource management: A comparison of the public and professionals in California

The social impacts of natural resource management are challenging to evaluate because their perceived benefits and costs vary across stakeholder groups. Nevertheless, ensuring social acceptance is essential to building public support for adaptive measures required for the sustainable management of ecosystems in a warming climate. Based on surveys with both members of the public and natural-resource professionals in California, we applied structural-equation modeling to examine how psychological factors impact individuals' attitudes toward management's capacity to reduce the impacts of disturbance events, including wildfires, smoke from wildfires, drought, water shortages, tree mortality, and utility failure. We found the members of the public more optimistic than natural-resource professionals, perceiving management capacity to be on average 3.04 points higher (of 10) and displaying higher levels of trust of the government on both the state (Δ = 11%) and federal levels (Δ = 19%). Personal experience with natural-resource events had a positive effect on perceived management in both the public (1.26) and the professional samples (5.05), whereas perceived future risk had a negative effect within both samples (professional = −0.91, public = −0.45). In addition, higher trust and perceived management effectiveness were also linked with higher perceptions of management capacity in the public sample (1.81 versus 1.24), which could affect the acceptance of management actions. Continued social acceptance in a period of increasing risk may depend on managers sharing personal experiences and risk perception when communicating with the public. The contemporary shift toward multibenefit aims is an important part of that message.

Identifying temporal drivers of product acceptance and rejection across sips during whole product consumption

AbstractMeasuring emotional response gives insights into consumer product experiences beyond liking. However, existing research rarely considers that emotional and hedonic responses can change during consumption of a whole portion. This research considered how well a combined multiple‐sip temporal check‐all‐that‐apply approach captured temporal drivers of product acceptance and rejection. Consumers (n = 104) profiled temporal sensory, liking and emotional responses to three milkshakes. Associations in temporal sensory, liking and emotional response citation pattern across multiple sips were investigated using generalized linear models, analysis of deviance and Pearson's chi‐square test. Differences in the temporal dynamics of sensory, liking and emotional responses and associations between temporal sensory and affective responses were identified highlighting liking and emotional experience were related to the evolution of sensory attributes over time. Notably, sensory associations with emotional responses, including “bored,” “relaxed,” and “satisfied,” were better at identifying temporal drivers of acceptance/rejection more than associations to level of liking.Practical ApplicationsThe research demonstrated that a combined multiple‐sip temporal check‐all‐that‐apply (TCATA) approach, representing whole product consumption, is an effective approach to gain deeper insights into the sensory drivers of consumer affective response. However, the applicability of analyzing within‐sip variations in perception, and potential to use check all that apply by sip as opposed to TCATA needs to be considered on a product category basis.

When perceived fairness and acceptance go hand in hand–Drivers of regulatory and economic policies for low-carbon mobility

Restrictive measures are indispensable to achieving sustainable and low-carbon mobility. At the same time, these are often not implemented due to concerns that public support will not materialize; therefore, they are relegated to the background in the debate on policy measures that can be applied to change mobility behavior. In this national study (N = 1,083), we used structural equation modeling (SEM) to examine the drivers of and differences between regulatory and economic transport policies. We find that policy-specific beliefs and, in particular, perceived fairness are key drivers of public acceptance. Our results indicate that policies must be perceived as fair, effective, and minimally intrusive for them to be accepted by the public and thus implementable. No major differences were found between the two types of policies examined, namely, regulatory and economic policies. Overall, public acceptance of the proposed measures is low. We discuss these results in terms of the study content and methodology and conclude by describing their implications for transport policy design.

Effect of justification of wife-beating on experiences of intimate partner violence among men and women in Uganda: A propensity-score matched analysis of the 2016 Demographic Health Survey data.

In some communities, rationalization of men's controlling attitudes is associated with the justification of gender norms such as wife-beating as a method of correcting spouse behaviour. In this quasi-experimental study, we investigate the causal effects of the acceptability of gender norms justifying wife-beating on experiences of sexual, emotional, and physical intimate partner violence (IPV) among Ugandan men and women. We analysed the 2016 Uganda Demographic and Health Survey data using propensity-score matching. The exposure variable is the acceptability of gender norms justifying wife-beating measured on a binary scale and the outcomes are the respondent's lifetime experiences of sexual, physical, and emotional IPV. We matched respondents who accepted gender norms justifying wife-beating with those that never through a 1:1 nearest-neighbour matching with a caliper to achieve comparability on selected covariates. We then estimated the causal effects of acceptability of gender norms justifying wife-beating on the study outcomes using a logistic regression model. Results showed that a total of 4,821 (46.5%) out of 10,394 respondents reported that a husband is justified in beating his wife for specific reasons. Among these, the majority (3,774; 78.3%) were women compared to men (1,047; 21.7%). Overall, we found that men and women who accept gender norms justifying wife-beating are more likely to experience all three forms of IPV. In the sub-group analysis, men who justify wife-beating were more likely to experience emotional and physical IPV but not sexual IPV. However, women who justify wife-beating were more likely to experience all three forms of IPV. In conclusion, the acceptability of gender norms justifying wife-beating has a positive effect on experiences of different forms of IPV by men and women in Uganda. There is, therefore, a need for more research to study drivers for acceptance of gender norms justifying wife-beating to enable appropriate government agencies to put in place mechanisms to address the acceptability of gender norms justifying wife-beating at the societal level.

Determinants of COVID-19 vaccine acceptance in Mozambique: The role of institutional trust.

Vaccination plays an imperative role in protecting public health and preventing avoidable mortality. Yet, the reasons for vaccine hesitancy in African countries are not well understood. This study investigates the factors associated with the acceptance of COVID-19 vaccine in Mozambique, with a focus on the role of institutional trust. The data came from the three waves of the COVID-19 Knowledge, Attitudes and Practices (KAP) survey which followed a cohort of 1,371 adults in Mozambique over six months (N=3809). We examined vaccine acceptance based on three measurements: willingness to take vaccine, perceived vaccine efficacy, and perceived vaccine safety. We conducted multilevel regression analysis to investigate the trajectories of, and the association between institutional trust and vaccine acceptance. One third of the survey participants (37%) would definitely take the vaccine. Meanwhile, 31% believed the vaccine would prevent the COVID-19 infection, and 27% believed the vaccine would be safe. There was a significant decrease in COVID-19 vaccine acceptance between waves 1 and 3 of the survey. Institutional trust was consistently and strongly correlated with different measures of vaccine acceptance. There was a greater decline in vaccine acceptance in people with lower institutional trust. The positive correlation between institutional trust and vaccine acceptance was stronger in younger than older adults. Vaccine acceptance also varied by gender and marital status. Vaccine acceptance can be volatile even over short periods of time. Institutional trust is a central driver of vaccine acceptance and contributes to the resilience of the health system. Our study highlights the importance of health communication and building a trustful relationship between the general public and the institutions in the context of a global pandemic.

Technology Acceptance of Neo-Broker Applications: An Empirical Investigation

Disruptive neo-broker applications (NBAs) enable users to access financial markets easily and have attracted millions of investors worldwide. As a gamified implementation for financial services, NBAs provide a unique research setting in which to examine the determinants of NBA acceptance among investors, some of whom are wholly inexperienced in financial products. We propose a research model specifically designed to explain the usage intention of NBAs by drawing on established factors from technology acceptance and financial behavior research. We validated the research model empirically with structural equation modeling (N = 653) and found significant drivers of NBA acceptance. Distinct from previous finance technologies, we confirmed consumption-oriented factors, including performance expectancy, hedonic motivation, price value, and habit as antecedents of NBA usage intention. From the financial perspective, initial trust and overconfidence were identified as further drivers, while overconfidence in turn is shaped by risk aversion and subjective financial knowledge, indicating a mediated effect on NBA acceptance. Thereby, we present the first NBA-tailored acceptance model that links technology characteristics and financial behavior. Correspondingly, we provide implications for theory and practice.

COVID-19 precautionary behaviors and vaccine acceptance among older individuals: The role of close kin

The family plays a central role in shaping health behaviors of its members through social control and support mechanisms. We investigate whether and to what extent close kin (i.e., partner and children) matter for older people in taking on precautionary behaviors (e.g., wearing a mask) and vaccination during the COVID-19 pandemic in Europe. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we combine its Corona Surveys (June to September 2020 and June to August 2021) with pre-COVID information (October 2019 to March 2020). We find that having close kin (especially a partner) is associated with a higher probability of both adopting precautionary behaviors and accepting a COVID-19 vaccine. Results are robust to controlling for other potential drivers of precautionary behaviors and vaccine acceptance and to accounting for coresidence with kin. Our findings suggest that policymakers and practitioners may differently address kinless individuals when promoting public policy measures.

Consumer perception of plant-based yoghurt: Sensory drivers of liking and emotional, holistic and conceptual associations

Plant-based (PB) yoghurts is a rapidly expanding food category with the potential to reduce many of the negative environmental impacts associated with the farming of dairy cattle and related greenhouse gas emissions. Within the context of growing consumer demand for PB products, this research aimed to identify the main drivers of consumer acceptance of PB yoghurts through data drawn from a consumer study of 113 adult New Zealand participants who tasted a representative range of commercially available vanilla-flavoured PB yoghurts, and provided sample evaluations using a multi-variable measurement approach comprised of liking ratings, emotional responses, sensory characterisations, and holistic / conceptual perceptions. The primary finding of this study was that the overall acceptability of currently available PB yoghurts is low, leading to poor attitudes and low willingness to consume PB yoghurts. The examined products were characterised by the presence of several sensory attributes that negatively impacted consumer liking, either because they were unexpected or because their intensity level was too high. Among the main sensory issues identified were perceived sourness (acidity), lumpy appearance and non-white colour. In contrast, vanilla flavour and a creamy/smooth texture were identified as the main drivers of liking. The multi-response approach used in this study enabled a comprehensive characterisation of the products. One of the key insights gained was that negative emotional activation, caused by the presence of unexpected sensory attributes in the samples, was the main driver of product rejection. This was likely due to the disparity between consumers’ sensory expectations, formed primarily based on their experience with dairy yoghurts, and the actual experience upon tasting the PB yoghurts. Overall, the findings indicate that the sensory properties of currently available PB yoghurts are a significant barrier to their adoption by most consumers and that addressing these sensory deficiencies is essential to achieving mainstream market acceptance of these products.

Overcoming Consumer Resistance to AI in General Health Care

Artificial intelligence (AI) in medicine offers a unique opportunity to improve the global health system. However, consumers remain skeptical about AI's ability to accurately assess their medical condition. The five studies here provide insights into consumers’ reluctance to use AI-produced health care recommendations. Consumers are less willing to follow a medical recommendation from AI (vs. from a human) when the medical diagnosis provides health results that are good (i.e., symptoms do not require medical care) versus bad (i.e., symptoms are worrisome and may require urgent care) (Study 1a). The effect is mediated by consumers’ perception of diagnosis trustworthiness (Study 1b) and enhanced by consumers’ health anxiety score (Study 2). Providing social proof (e.g., number of satisfied customers recommending the service) reduces the negative effect of health anxiety on consumers’ trust in the medical diagnosis and increases their willingness to follow the AI's recommendations (Study 3a). The findings provide insights into the psychological drivers of acceptance of automated health care and suggest possible actions to overcome consumers’ reluctance to follow AI medical recommendations.