Consumer Intention Research Articles

Delineating molecular regulatory network of meat quality of longissimus dorsi indicated by transcriptomic, proteomic, and metabolomics analysis in rabbit

This study aims to investigate the potential regulatory network responsible for the meat quality using multi-omics to help developing better varieties. Slaughter performance and meat quality of Shuxing No.1 rabbit outperformed IRA rabbit according to the tested rabbit parameters. Differentially expressed genes (DEGs) and differentially abundance proteins (DAPs) were involved in meat quality-related pathways, such as PI3K − Akt and MAPK signaling pathways. Only SMTNL1 and PM20D2 shared between DEGs and DAPs. Olfactory-sensitive undecanal, a differentially abundant metabolite (DAM) in volatilomics (vDAMs), correlated with all of the remaining 11 vDAMs, and most of 12 vDAMs were associated with amino acid metabolism. Integration revealed that 829 DEGs/DAPs were associated with 15 DAMs in four KEGG pathways, such as melatonin (a DAM in widely targeted metabolomics) was significantly positively correlated with ALDH and negatively correlated with RAB3D and CAT in the tryptophan metabolism pathway. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor. SignificanceShuxing No.1 rabbit is a new breed of meat rabbit in the Chinese market. In meat marketing, meat quality usually determines the purchase intention of consumers. Determining the biological and molecular mechanisms of meat quality in meat rabbit is essential for developing strategies to improve meat quality. According to the tested rabbit parameters, this study ascertained that the slaughter performance and meat quality of Shuxing No.1 rabbit surpasses that of IRA rabbit. The present study profiled the transcriptome, proteome, widely targeted metabolome, and volatilome of longissimus dorsi from Shuxing No.1 rabbit and IRA rabbit. The study found that meat quality and flavor-related tryptophan metabolism pathway is enriched with many DEGs/DAPs (including ALDH, RAB3D, and CAT), as well as a DAM, melatonin. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor.

An Exploratory Study on Factors Influencing the Purchase Intention of Packaged Milk in Erode District, India

Consumption of unbranded milk leads to several problems in children and adults. Therefore, innovative packaging technologies is needed for the development of extended shelf life and value added foods and food products. The objective of the present study is to identify the factors influencing the purchase intention towards packaged milk. The study area is confined to Erode district because of its high population and high purchase of packaged milk. Primary data were collected by using a well-structured and pre tested questionnaire. An exploratory factor analysis was performed to identify the underlying factors of consumer intention towards packaged milk. From the analysis, it is found that, product quality, value addition and promotional activities like advertisement were the factors that influenced the buying intention of packaged milk.

Effect of Colorful Food Photography and Consumer Intentions to Purchase Food and Beverages

This study intends to look into how consumers are affected differently by food advertising utilizing monochrome and colorful images in terms of pleasure, arousal, and buy intention. A design study was carried out randomly with 101 participants from various residences in Jabodetabek Area (Jakarta, Bogor, Tangerang, Bekasi), Indonesia. Participants voluntarily exposed themselves to food advertisements. According to this study, employing either monochrome or colourful food photography can positively influence customer’s intentions to purchase foods and beverages. The results demonstrate that colourful food photography increases customer buy intentions by making food products more enticing and beautiful. One of the few research projects comparing the effect of colorful food photography as an advertising and consumer intentions to purchase food and beverages. The previous understanding of the significance of visuals in social media advertising is also expanded by this research.

Evaluating The Impact of Online Product Review Credibility and Online Product Review Quality on Purchase Intention of Online Consumers

Evaluating The Impact of Online Product Review Credibility and Online Product Review Quality on Purchase Intention of Online Consumers

Grounded Theory Analysis of Online Shopping Reviews Based on Text Clustering

Grounded Theory Analysis of online shopping reviews can improve the quality and accuracy of review data analysis, providing valuable information and suggestions for relevant businesses and consumers. This article focuses on analyzing mobile phone reviews on JD.com as coding objects, effectively employing machine learning algorithms such as Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), and text clustering in natural language processing to extract thematic keywords from online shopping review texts and perform axial coding. Subsequently, DBSCAN clustering algorithm is applied to categorize the main categories of design, service, and production under the perspective of businesses and consumers as consumption attraction, while categorizing price and brand under consumption intention, forming selective coding. By applying Grounded Theory to the analysis of online shopping reviews, this study accurately identifies consumer needs and feedback, with the aim of helping businesses improve product and service quality, enhance customer satisfaction and loyalty, and engage in personalized marketing and customized services.

The meta-commerce paradox: exploring consumer non-adoption intentions

PurposeThe primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.Design/methodology/approachA total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.FindingsThe findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.Originality/valueThis study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.

Measuring the benefit of increased transparency and control in news recommendation

AbstractPersonalized news experiences powered by recommender systems permeate our lives and have the potential to influence not only our opinions, but also our decisions. At the same time, the content and viewpoints contained within news recommendations are driven by multiple factors, including both personalization and editorial selection. Explanations could help users gain a better understanding of the factors contributing to the news items selected for them to read. Indeed, recent works show that explanations are essential for users of news recommenders to understand their consumption preferences and set intentions in line with their goals, such as goals for knowledge development and increased diversity of content or viewpoints. We give examples of such works on explanation and interactive interface interventions which have been effective in influencing readers' consumption intentions and behaviors in news recommendations. However, the state‐of‐the‐art in news recommender systems currently fall short in terms of evaluating such interventions in live systems, limiting our ability to measure their true impact on user behavior and opinions. To help understand the true benefit of these interfaces, we therefore call for improving the realism of studies for news.

Measuring the Digital Assets, Brand Services and Service Quality Quantitative Analysis: Evidence from China

This study mainly analyses over the data of 300 questionnaire surveys for China mobile, China, Unicom, and China Telcom. It uses the hypothesis testing methodology, ANOVA analysis, and multiple-linear regression testing methodology for data analysis and verification to prove the feasibility of the sample data. This study emphasizes the importance of using the established SERVQUAL model to measure the digital asserts, brand service, and quality-of-service of the mobile communications segment in China, albeit with fair variance based on expert judgments to capture specific industry aspects, as well as China's unique digital and brand culture. Moreover, it is challenging to find evidence-backed studies focusing on quality-of-service, consumer satisfaction and consumer value, along with their impacts on the behaviour intentions of consumers in the telecommunications sector. This study emphasizes the importance of using the established SERVQUAL model to measure the quality-of-service of the mobile communications segment in China, albeit with fair variance based on expert judgments to capture specific industry aspects, as well as China's unique culture. Meanwhile, This article uses a combination of qualitative and quantitative methods for analysis. This article mainly uses quantitative analysis methodology for sample research, it also uses SPSS and Excel software as analysis tool. The major factors of quality-of-service, consumer value, brand value, digital asserts value, and consumer happiness are initially determined using a disaggregated method to stress the consumer perceived sacrifice. Following that, the paper focuses on establishing dynamic relationships between those elements, particularly the regulating role of consumer value in the customerr relationship between higher-quality of service and some related consumer satisfaction, which is preceded by a finally examination of their effects on consumers' behaviour and behaviour data. The paper research results are based on our structural equation models that were created using the TAM theory method - Partial Least Square approach.

Consumers’ perceptions of the environmental and public health benefits of last mile drone delivery

ABSTRACT Using Technology Acceptance Model, Theory of Planned Behavior, and Privacy Calculus as theoretical frameworks, this study examined environmental and public health/safety dispositions and environmental and public health/safety benefits, perceived usefulness, privacy risk, and trust as they relate to U.S consumers intention to adopt drone delivery services. This study employed Partial Least Squares – Structural Equation Modeling methods and data were collected online using Amazon Mechanical Turk, resulting in 687 respondents. The results show that the intention to use drones for delivery increases if consumers perceive drone delivery to be useful. Additionally, perceived usefulness was influenced by a person’s environmental and public health/safety dispositions along with related benefits. Additionally, as a person’s perceived usefulness increases their perceived privacy risk decreases. Further, this study found that organisational trust moderates the negative effect of privacy risk on drone adoption.

Medical Question Summarization with Entity-driven Contrastive Learning

By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve suitable answers. However, medical question summarization is very challenging due to obvious distinctions in health trouble descriptions from patients and doctors. Although deep learning has been applied to successfully address the medical question summarization (MQS) task, two challenges remain: how to correctly capture question focus to model its semantic intention, and how to obtain reliable datasets to fairly evaluate performance. To address these challenges, this article proposes a novel medical question summarization framework based on e ntity-driven c ontrastive l earning (ECL). ECL employs medical entities present in frequently asked questions (FAQs) as focuses and devises an effective mechanism to generate hard negative samples. This approach compels models to focus on essential information and consequently generate more accurate question summaries. Furthermore, we have discovered that some MQS datasets, such as the iCliniq dataset with a 33% duplicate rate, have significant data leakage issues. To ensure an impartial evaluation of the related methods, this article carefully examines leaked samples to reorganize more reasonable datasets. Extensive experiments demonstrate that our ECL method outperforms the existing methods and achieves new state-of-the-art performance, i.e., 52.85, 43.16, 41.31, 43.52 in terms of ROUGE-1 metric on MeQSum, CHQ-Summ, iCliniq, HealthCareMagic dataset, respectively. The code and datasets are available at https://github.com/yrbobo/MQS-ECL

Exploring the Consumer Acceptance of Circular Housing from the Perspective of SOR Theory

The reconstruction of residences has led to an increase in the use of single-use materials in the construction industry. In the context of the circular economy, with the implementation of circular housing from a cradle-to-cradle perspective, the field of housing construction is changing rapidly. Innovation and sharing improve the consumer experience and increase consumers’ purchase intention. This research integrates design attributes, sharing attributes, perceived value, and affective value to study the impact of circular housing on acceptance and identification. The framework of SOR theory framework is used to analyze the predictive factors of consumer intention. The results emphasize that emotional responses in terms of affective value, perceived value, and social equity are the most prominent. This research also utilizes the KJ method. The research methods include a literature review, field observations, expert interviews, questionnaire surveys, and triangulation validation. Moreover, this research uses PLS-SEM to analyze the data of 568 participants. The structural analysis shows that consumers’ acceptance and identification of circular housing are strongly influenced by social equity. A total of 16 out of 17 hypotheses are established, with eight partial mediating effects, including the mediating role of social equity. Perceived value is found to affect consumers’ cognition and attitudes Perceived value and design attributes, as well as these factors combined, influence consumer acceptance and identification. This research provides strategies to enhance the design of circular housing and promote its development. This research explores the relationship between consumers’ acceptance and identification of circular design and the development of circular housing. It first establishes a structural model based on the SOR theory. Adding the mental map of interview results to the model, the results of this research analyzes the design attribute value, and the SEM-PLS analysis influences highlights the identification and acceptance of circular housing.

Investigating the sustainability of the tourism industry through consumer intention to purchase electric three-wheelers: the case of Sri Lanka

Purpose In the realm of tourism and sustainability, transportation and mobility hold a crucial position. Among the green product categories, three-wheeled electric vehicles have gained significant attention due to their environmental benefits. However, research on consumers’ intentions to purchase these vehicles is limited, particularly in Asian destinations like Sri Lanka. This study aims to bridge this gap by examining the direct and indirect impacts of green brand awareness, green brand associations and green perceived quality of local Sri Lankans’ intention to choose branded electric three-wheelers in future purchase decisions. Design/methodology/approach A questionnaire survey garnered 400 usable responses, and structural equation modeling was used to test hypotheses. Findings The results indicate that green brand awareness, green brand associations and green perceived quality have a direct positive and significant effect on consumers’ intention to choose branded electric three-wheelers in future purchase decisions and green trust. Also, green trust has a positive and significant direct effect on consumers’ intention to choose branded electric three-wheelers in future purchase decisions. Furthermore, the results indicate that only green brand associations and green perceived quality have an indirect positive and significant effect on consumers’ intention to choose branded electric three-wheelers in future purchase decisions through green trust. Originality/value This research contributes to the tourism industry and other sectors involved in sustainability efforts in several ways. First, it emphasizes the importance of fostering positive associations with eco-friendly attributes and perceived product quality to build consumer trust and influence their purchase intentions for green products. Second, the study underscores the relevance of highlighting eco-friendly product attributes to stimulate consumer interest and adoption of green products. Finally, it theoretically underscores the significance of building trust through transparent and credible sustainability initiatives.

Factors affecting consumer intentions and actual behavior: A case of food delivery applications

Customers and food vendors communicate directly through mobile devices. Consumers easily purchase pre-prepared meals via food delivery applications, no matter where they are, even at the convenience of their residences. Therefore, this paper aims to analyze the determinants that affect customers’ propensity to purchase and their actual behavior in the setting of food delivery applications. The impact that subjective norms have on consumers’ attitudes toward food ordering via food delivery applications is also examined. The theory of reasoned action and prospect theory are the two basic theories that this study draws on. A convenience sample approach was used to gather data from 288 consumers in Vietnam who placed meal orders using food delivery applications. The data collection was conducted using Google Forms. The results indicated that consumers’ attitude toward purchasing food via food delivery applications positively influenced their buying propensity (β = 0.191, p = 0.001). Similarly, the findings also highlighted that consumers’ subjective norm positively affected both their attitude (β = 0.417, p = 0.000) and their inclination to purchase (β = 0.258, p = 0.000). Likewise, discount framing emerged as the most influential factor affecting purchase intentions (β = 0.262, p = 0.000). Furthermore, customers’ intentions significantly contributed to their actual behavior in acquiring pre-prepared meals through food delivery applications (β = 0.556, p = 0.000). Ultimately, the study offered suggestions for executives, identified limits, and proposed avenues for future research. AcknowledgmentThe author acknowledges Industrial University of Ho Chi Minh City that supported this study.

Medical Students’ Views on Cannabis Use in Recreational Contexts Are Related to Their Own Consumption Intention

Health professionals are regarded as important sources of information and guidance for healthy living. Knowing health determinants and risks, and invested with credibility in society, many struggle with their own human limits to apply these principles. A cross-sectional study was conducted among advanced medical students to assess their attitude towards recreational cannabis consumption, intention to use it, and their opinion of its legal status. Secondary objectives were to explore the relation of these primary outcomes to: (a) potentially addictive habits (such as smoking and drinking); (b) individuals’ disturbances in self-organization (DSOs), defined in the ICD-11 as pervasive chronic effects of traumatic experiences or stressful events. An anonymous online questionnaire active in November 2022 collected data from 171 medical students, of which almost 56% were in favor of recreational cannabis legalization. In a logistic regression analysis, each additional point of own consumption intention (on a scale from 1 to 5) was found to increase the odds of a positive opinion of legalization by three times, when controlling for gender, age, smoking, drinking, onset age of smoking, and DSO: OR = 2.918, 95%CI (1.893–4.497). In conclusion, health professionals’ personal beliefs and practices regarding substance use have a significant subjective component.

User Involvement in a Desire to Buy Particular Goods on the Internet

Social media can be very effective at promoting niche products because customers often enjoy leaving reviews and striking up discussions about these things. This could increase consumer interest in the goods. In this study, we investigate how user designs interacting during a discourse on a niche cultural product can affect engagement levels, which may in turn improve consumption intentions. We demonstrate how increased interaction might boost consumption motivation. We discover that increased homophily and connectedness within the social media network will lead to a simultaneous rise in polarization and the prevalence of content tailored to niche markets. Next, we examine an expansion in which two lobbyists have the ability and desire to affect the frequency of every kind of content. The primary ways in which businesses can use social media as tools for strategic marketing. The article outlines the primary categories of social media applications and suggests two key applications for social media use by marketers: As sources of market intelligence, or "passive marketing tools," as well as "active marketing tools," which are platforms for interacting, communicating, and promoting with customers.

Why do people use a mobile wallet? The case of fintech companies in Jordan

Understanding consumer intentions regarding mobile wallet (m-wallet) adoption is paramount in the mobile commerce landscape, particularly in cash-centric economies like Jordan. Despite efforts to shift toward digital payments, cash transactions remain prevalent, highlighting the need to explore m-wallet service adoption dynamics in Jordan.This study aims to identify the factors influencing Jordanian consumers’ adoption of m-wallet services, focusing on the motivations and barriers. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT2) as a theoretical foundation, the research integrates various models to assess technology acceptance. A questionnaire distributed among m-wallet users from fintech companies in Jordan garnered 421 responses, analyzed using the Smart PLS 3 software.The findings indicate a positive impact of all variables on the propensity for m-wallet adoption in Jordan. Notably, perceived usefulness, ease of use, and facilitating conditions significantly influenced user decisions, evidenced by R-square values of 0.78%, 0.758% and 0.684%, respectively. Meanwhile, perceived value, security, privacy, and social influence had a moderate effect. The attractiveness of alternatives and attitudes towards m-wallet usage showed lesser impact, with R-square values at 26.7% and 22.8%, respectively, illustrating varied influences on adoption rates in determining consumer adoption of m-wallet services in Jordan.This paper enhances research on mobile commerce in developing economies, focusing on Jordan. It explores the adoption of m-wallet services by fintech users, presenting a detailed model. The study provides valuable insights for advancing digital payment systems in this region.

Analyzing The Influence of Social Media and Offline Factors on Consumer Behaviour: A Study of the Low-Cost Airlines

This study delves into the ramifications of social media and real-life interactions on the purchasing behaviors and recommendation tendencies of consumers utilizing budget airline services. Employing the Theory of Reasoned Action, the research explores how offline social dynamics (like interpersonal relationships and external influences) influence customer attitudes towards online purchases. It suggests that these factors amplify intentions for repeat online purchases and positive word-of-mouth communication, both conventional and electronic, within the realm of budget services. Through structural equation modeling, the study evaluates a conceptual model using a cohort of Internet users who have engaged with budget airline services. Results indicate that interpersonal offline influences, such as those from friends, relatives, and family, significantly influence intentions for repeat online purchases and traditional word-of-mouth but not electronic word-of-mouth. Conversely, external offline influences, like media or expert opinions, only impact consumer intentions to recommend future purchases through social networking travel sites, without affecting intentions for repeat online purchases or traditional word-of-mouth communication. Additionally, the study underscores the impact of Consumer-to-Consumer (C2C) information exchanges on attitude, subsequently shaping intentions for repeating purchases and both forms of word-of-mouth communication.

The shift from fast fashion to socially and sustainable fast fashion: The pivotal role of ethical consideration of consumer intentions to purchase Zara

AbstractFast fashion, a prominent sector in global business, has come under scrutiny for its substantial clothing production and the resulting social and environmental impacts. A social and sustainable orientation in fast fashion is gaining traction with increased consumer awareness, prompting a shift in manufacturing practices. This paper, using a combination of qualitative (content analysis) and quantitative (survey) approaches, focuses on Zara and applies Stakeholder theory to confirm the positive impact of adopting social and sustainable initiatives on clients' purchase intentions. Our findings also underscore the significance of keeping stakeholders informed about the sustainable and corporate social responsibility initiatives undertaken by a brand.

Going cashless in Japan: Using exchange benefit and cost approach to study continuance intention of mobile wallet

Japan has been a leading country introducing mobile wallet technologies. The Japanese government and related industries have tried to widely diffuse the mobile wallet among Japanese consumers. This paper addresses the issue of “Cashless Japan” by asking what factors will enable Japanese consumers to use the mobile wallet to a greater extent in society. We used the Dual Factor Model framework to explore the causal relationships between exchange benefits (including perceived value and perceived enjoyment) and exchange costs (including security concerns and privacy) with related factors (consumer attitudes and perceived risks) on the continuance intention to use mobile wallet apps. Based on our empirical study in Japan, we found that perceived value and enjoyment affect a consumer's continuance intention through consumer attitudes. Perceived enjoyment has a direct effect on consumer's continuance intention. Privacy and security concerns affect consumer's continuance intention through perceived risk, while privacy concerns also affects consumer attitudes. We found that perceived risk mediates the path from security concerns to continuance intention while consumer attitudes mediates the path from perceived enjoyment to continuance intention.

Fleshing Out the Ways Masculinity Threat and Traditional Masculinity Ideology Relate to Meat-Eating and Environmental Attitudes in Australian Men

Meat consumption needs to be reduced to limit climate change but achieving this requires understanding the drivers of meat consumption. In this study, we investigated two potential drivers—a contextual threat to masculinity and the stable individual difference of masculine ideology—and how they predict meat-eating intentions, attitudes, and environmentalism. Employing a sample of 375 Australian men, a population known for its high meat consumption, we did not find support that a contextual threat to men’s masculinity increased pro-meat attitudes or intentions. Instead, we found that prevailing views about masculine ideology significantly predicted meat-related attitudes and intentions, with avoidance of femininity associated with lower avoidance of meat and lower intentions to eat clean meat, and the endorsement of male dominance tied to lower pro-environmental responding. Our findings suggest that situational threats to masculinity may not robustly affect meat consumption intentions and highlight the importance of more stable individual differences in the conception of the male gender identity in maintaining men’s high meat consumption.