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Introduction: Compliance with the latest patterns in online consumption of fresh agricultural products should prioritize the shifts in consumer behavior. This study aimed to clarify the influencing factors of consumers' channel migration behavior of fresh agricultural products. While the migration of consumers' consumption of fresh agricultural products to online channels is an undeniable fact, and this trend continues, literature on this topic remains limited. Methods: Based on SOR theory, and from the dual perspectives of information transmission and information reception, this study exploratively introduced the network affinity of consumers, and constructed the concept model of the influencing factors of consumers' channel migration behavior of fresh agricultural products including information acquisition and risk perception. 416 valid questionnaires were used to conduct structural equation model analysis. Results: The results confirm that product information and platform information significantly affect consumers' channel migration behavior of fresh agricultural products. Product information including feature information and price information has a positive influence on consumers' channel migration behavior of fresh agricultural products. The same is true for such behavior and the platform information including service information and logistics information. Risk perception plays a partial mediating role in the influence of product information variables and platform information variables on consumers' online purchasing and migration behavior of fresh agricultural products. Network affinity negatively moderates the causal relationship between product information and risk perception as well as that between platform information and risk perception. The effect is more pronounced for consumers with high network affinity than those with low network affinity. Discussion: The study presented in this paper offers a replicable theoretical framework for future discussions on consumer channel migration behavior, and enriches the literature on consumer online consumption behavior. It is highly meaningful for further improving the online consumption stickiness, tapping the potential of online consumption and improving the circulation efficiency of fresh agricultural products in the post-pandemic era. [ABSTRACT FROM AUTHOR]

Agent-based modeling and simulation is a method well suited for studying individual behavior and interactions amongmembers of a population connected by social networks. Although the development of such simulation models can be relatively complex, it is even more challenging to develop models that are empirically valid. In the case of reverse logistics, the sophisticated and difficult-to-predict behavior of consumers must be modeled. In this paper, an agent-based simulation model of consumer behavior and interactions was configured to conduct a case study of the voluntary deposit collection program for wine bottles in the Val-Saint-François region of Quebec. As this collection program was officially launched in 2019, two empirical samples were obtained to test the validity of the model and study how social interactions such as word of mouth contributes to the success of the collection program. The first sample represents the amount of glass collected during the last 26 weeks of 2019, while the second sample covers the first 13 weeks of 2020. Having observed an increase in collection rates between 2019 and 2020, word of mouth was introduced into the model to explain this phenomenon. Statistical tests show that the model is indeed valid with the inclusion of diffusion of awareness, as the simulation results are significantly consistent with the empirical data. The validation of the model demonstrates the viability of using multiple heterogeneous data-sources to configure a simulation model based on the Theory of Planned Behavior without using Structural Equation Modeling. [ABSTRACT FROM AUTHOR]

Introduction: There exists a noticeable gap between consumers' willingness to purchase green food and their actual purchase behavior. However, the awareness of green development is a crucial factor influencing this purchase behavior and acts as an internal driving force promoting green consumption. Consumers' green development awareness is shaped by various psychological motivations, including environmental concern, health consciousness, knowledge, norms, and price considerations. The existing literature often focuses on specific regions or groups, lacking comprehensive cross-regional and multivariate evaluations, and frequently overlooks the potential impact of moderating variables such as economic development level, product type, and behavior type. Methods: To clarify the overall effect of each motivational factor on green food purchase behavior, this study conducted a meta-analysis. We selected eight causal variables and three moderating variables that significantly influence consumers' green food purchase behavior. The analysis included 132 independent effect values from 45 research papers. Results: The meta-analysis revealed that: (1) Consumers' green food purchase behavior is significantly positively correlated with eight motivational factors: environmental awareness, health awareness, green attitude, green knowledge, subjective norms, price awareness, perceived behavior control, and perceived usefulness. (2) Economic development level, product type, and behavior type significantly affect consumers' green food purchase behavior. (3) The impact of motivational factors on actual purchase behavior is weaker than on purchase intention, suggesting that interventions should focus on converting purchase intentions into actual purchase behavior. (4) The findings indicate that environmental responsibility, government policies, and marketing strategies can influence consumers' psychological motives, guiding them toward more responsible consumption choices. Discussion: Enhancing consumers' environmental and health awareness is essential, and policy support and marketing strategies can effectively promote green food consumption. These insights underscore the importance of targeted interventions to bridge the gap between green purchase intention and behavior. [ABSTRACT FROM AUTHOR]

With the development of big data, our lives have gradually entered the information age, which has changed and reshaped the behavior of enterprises and consumers. In this paper, a user portrait clustering model based on big data is proposed to implement business model design for specific groups after clustering, target potential user groups for active marketing, and promote actual purchase behavior. In this paper, cost, risk, and contribution factors are introduced to improve the basic cooperative game allocation method. The improved model considers the operating cost of the main body, the level of risk, and the contribution proportion of the actual energy supply. In order to verify the effectiveness and applicability of the benefit distribution strategy based on the cooperative game proposed by the project, the research results provide a certain reference for precision marketing in relevant industries and enterprises. [ABSTRACT FROM AUTHOR]

Studies have shown that product scarcity appeals affect consumers' perceived scarcity, willingness to pay, and other responses, and that scarcity appeal has the potential to cause consumers to pay higher attention to the product. However, there is a lack of research on the psychological responses of consumers to scarcity appeal from the perspective of perceived green washing. In this paper, three experiments are conducted to demonstrate the impact of product scarcity appeals on consumers' purchase intentions. The research shows that when green products use product scarcity appeals as a strategy, consumers' purchase intentions are affected, but consumers' information processing about the product is the most important determinant. Perceived green washing mediates the negative effect of product scarcity appeals on green product purchase intentions. And impression management motives moderate the negative effect of product scarcity appeals on green product purchase intentions. The findings of the study not only help companies to effectively adopt the right advertising strategies to improve their marketing effectiveness, but also help them to explore the market for green products. [ABSTRACT FROM AUTHOR]

Introduction: With the rise of social media and web technologies, users are increasingly spending time on browsing and purchasing on social commerce, particularly during idle moments of casual scrolling. Social commerce applications with sophisticated social features and security measures may tend to attract a significant number of highly engaged users. The purpose of this study is to find out whether customers will be interested in the content posted on the applications and generate impulse consumption when they are bored. Methods: Drawing on stimulus-organism-response framework, this paper explores how technical cues and situational cues affect impulse buying behavior in social commerce applications and the mediating impact of consumer- perceived values. Data were gathered from 395 respondents who frequently utilize and have shopping experience on social commerce applications. The PLS-SEM and fsQCA were applied to formulate and test the proposed hypotheses. Results: The results of PLS-SEM reveal technical cues (ease of use, visual appeal and security) and situational cues (passing time and serendipity) positively influenced impulse buying. The results of fsQCA offer six solutions of different combinations of constructs which can lead to high impulse buying. Discussion: These findings may extend existing research on impulse buying behavior and consumer psychology, offering valuable insights for marketers. They also point towards strategies for more effectively encouraging impulse purchase in digital retail environments, particularly among consumers who are browsing out of boredom. [ABSTRACT FROM AUTHOR]

The application of augmented reality (AR) is receiving great interest in e-commerce, m-commerce, and brick-and-mortar-retailing. A growing body of literature has explored several different facets of how consumers react to the upcoming augmented shopping reality. This systematic literature review summarizes the findings of 56 empirical papers that analyzed consumers’ experience with AR, acceptance of AR, and behavioral reactions to AR in various online and offline environments. The review synthesizes current knowledge and critically discusses the empirical studies conceptually and methodologically. Finally, the review outlines the theoretical basis as well as the independent, mediating, moderating, and dependent variables analyzed in previous AR research. Based on this synthesis, the paper develops an integrative framework model, which helps derive directives for future research on augmented shopping reality. [ABSTRACT FROM AUTHOR]

With the development of mobile Internet technology, firms need to complete the entire process of consumer targeting, ad content generation, and ad display in a very short time window. Therefore, computational advertising, such as native ads on social media platforms, has become the mainstream of online advertising with its automation and personalization features. However, computational advertising faces some problems when using artificial intelligence technology to generate content. First, the images should have a significant enough impact on consumers and be easy to adjust to save computational power at the same time; second, the iteration of the computational advertising system relies on consumer behaviors or advertising effectiveness, and firms need to learn the relationship between ad design and consumer behaviors. Under the above two problems, this paper selects visual distance as the main variable, and images can be adjusted by cropping to save computational power. This paper incorporates image design and ad effectiveness metrics into the construal level theory framework, under which the effectiveness metrics can be quickly determined. Following previous studies, we use click-through rate (CTR) to represent the early stage of the sales funnel and a higher construal level and CVR (conversion rate) to represent the later stage of the sales funnel and a lower construal level. Therefore, visually distant images bring distant psychological distance or higher construal level, which can get higher CTR; visually proximate images bring near psychological distance or lower construal level, which can bring higher CVR. These findings suggest that firms can improve the efficiency of their advertising systems and gain more revenue by understanding consumer psychological states. [ABSTRACT FROM AUTHOR]

The paper deals with consumer behavior in the context of sustainable development of society. A questionnaire survey of 732 respondents was used to understand the determinants of food purchasing behavior toward sustainable consumption. The paper identifies the factors that the consumer determines in food purchasing as critical in terms of sustainable consumption and requiring behavioral change toward sustainability in terms of healthy lifestyle, reduction of food wastage, and conscious consumption. Respondents commented on 22 factors and the quantification of their impact on food waste and expressed the strength of opinion on sustainability issues. To evaluate the collected data, PCA factor analysis was used, which defines the importance of each factor by identifying artificial hypothetical variables, which are “Sustainability” and targeted education as appropriate tools for it, “Food usability,” which is a recommendation to producers by food quality, offering new types of food with longer shelf life, as well as “Pricing,” “Quality” and “Convenience.” The authors also sought to understand what measures they take in relation to waste and how they behave toward sustainable consumption and environmental protection. They created 14 content questions on this topic and by using factor analysis, 3 hypothetical variables were created, namely “Sustainable behavior” which expresses a healthy lifestyle, “Thoughtful purchase” which expresses a relationship with environmental protection before purchasing and “Zero waste” which means that the household tries to make additional use of food. Thus, it seeks a use for the food it cannot consume at a given time and creates a supply for other consumers. This behavior is a good prerequisite for achieving a change in consumption behavior. The influence of selected sociodemographic indicators on the frequency of wastage was also investigated using the χ-squared test. The influence of generation and number of children in the household on the frequency of wastage was demonstrated. The results of the analyses on the importance of individual factors and consumer behavior, especially of the young generation, argue for education on sustainable consumption. [ABSTRACT FROM AUTHOR]

In this paper, a comprehensive review of the impacts and imminent design challenges concerning such EV charging stations that are based on solar photovoltaic infrastructures is presented, which is based on state-of-the-art frameworks for PV-powered charging stations and the latest case studies. The main factors that are targeted in this review are the management of an EV charging system that is a composite of PV and public grid, as well as a charging system business model that can affect consumer behavior by charging at different rates and the best design infrastructure for a PV electric vehicle charging services. The economic, environmental, and social impacts caused by the installation of PV-driven charging infrastructures are also compared. Moreover, the framework for recently emerging vehicle-to-grid and vehicle-to-home services, as well as the integration of these frameworks, is discussed. Finally, survey results for future EV demand and its public acceptance are presented. Appertaining to these issues, the case studies highlight that EV transportation between parking lots and charging stations is necessary to make the best use of the available charging stations. Statistically, in this study, it was inferred that there are no limitations on the amount of EV battery capacity that can be stored, and users of EVs can charge in both slow and fast modes. Furthermore, V2G systems are not suitable for widespread industrial use. Moreover, finding solutions and overcoming numerous obstacles remain unaddressed issues, and the size of the EV industry must reach a certain level to make profitable sales of V2B, V2H, V2G, and other V2X systems. The collected statistics indicate that although respondents generally have a favorable opinion of the mobility applications powered by photovoltaic cells, it seems unlikely that they will use them anytime soon. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic caused mainstream food supply chain disruptions, increased food security concerns, and impacted agrifood production and distribution systems. Short food supply chains provided consumers with an alternative method to acquire food outside conventional food supply chains. In this paper, innovation was seen as a solution to external challenges or problems in global food supply chains during a pandemic crisis. The solution was analyzed in the context of the United States and changes in the consumers' behavior and purchasing patterns in the direction of more accepting short supply chains, which led to the successful overcoming of crisis or adaptation of consumers to crisis circumstances. Methods: The Diffusion of Innovations was selected as the theoretical framework. Data were collected from 1,002 American adults from July 13 to August 18, 2021, through an online survey. Results and discussion: Results showed that consumers with higher educational attainment and financial status, from non-rural areas, and with more conservative viewpoints had higher innovation adoption levels, and they were more likely to embrace short food supply chains as an alternative during disruptions to conventional supply chains. Recommendations provide strategies to increase the use of short supply chains during the crisis to better meet the needs of consumers in the food system and improve marketing and communication efforts. Marketing and communication initiatives should engage these food innovators as opinion leaders to increase the adoption of short food supply chains to stabilize food supply in preparation for future crises. [ABSTRACT FROM AUTHOR]

Introduction: In the realm of emerging e-commerce platforms, the influence of online shopping events, specifically online carnival promotions (OSC), on consumer behavior is a significant area of interest. This paper delves into the effects of such promotions on consumer perceptions, a topic that has not been extensively explored in academic research. Methods: To investigate this phenomenon, two distinct studies were conducted. The first study employed a questionnaire-based experiment involving 220 participants, divided into two groups. The first study examined the mediating role of cognitive legitimacy in the relationship between OSC events organized by new e-commerce platforms and the perceptions of consumers. The second study utilized an eventrelated potentials (ERPs) experiment with 33 participants to explore the differences in consumer perceptions between OSC promotions and general promotions by new e-commerce platforms. This study measured the brain's response to promotional stimuli to gain insights into the cognitive processes involved. Results: The first study yielded results that suggest OSC activities can facilitate the establishment of cognitive legitimacy for new e-commerce platforms. This, in turn, was found to be associated with an increase in positive purchase intentions among consumers. In the second study, the ERPs data indicated that exposure to OSC promotional materials elicited larger P2 and N2 ERP components when participants were presented with the logo of a new e-commerce platform. This was in contrast to the response to general promotional materials, suggesting a heightened cognitive and perceptual engagement with OSC promotions. Discussion: The findings from both studies collectively imply that OSC promotions have a distinct impact on consumer perceptions and cognitive processes. The implicit memory triggered by these promotions appears to influence the identification of new platforms and the mechanisms of cognitive control during online shopping. This, in turn, may have implications for explicit consumer behavior, suggesting that OSC promotions could be a powerful tool for shaping consumer attitudes and behaviors in the e-commerce space. The results underscore the importance of understanding the nuances of consumer engagement with new e-commerce platforms and the role of promotional strategies in fostering a positive brand image and consumer loyalty. [ABSTRACT FROM AUTHOR]

Introduction: In the era of the Internet, online digital traces have become a new way to study the online attention of scenic spots and tourists’ purchase behavior. The public’s information search on major search platforms is a series of manifestations of potential tourists’ attention and interest in scenic spots, but there are few studies on how attention, interest and information search affect potential tourists to generate real purchase behavior. Method: This paper selects four dimensions of short video platform, travel website, search engine and social media to comprehensively measure the online attention of high-quality scenic spots in Yunnan Province, and then establishes a gray association analytic hierarchy process based on the relevant variables of the AISAS model to empirically analyze the primary and secondary factors affecting tourists’ purchase behavior. Results: (1) From the perspective of the online attention of scenic spots on different platforms, the intensity of the public’s scenic spots online attention on the four types of media platforms is in the order of travel websites, search engines, short videos and social media (2) From the perspective of spatial distribution characteristics, the online attention of high-quality scenic spots in Yunnan Province is unevenly distributed, that is, there is a big difference between the attention of higher star scenic spots and their star rating and popularity, while the attention of low-star scenic spots is not much different from their star rating and popularity (3) From the perspective of spatial agglomeration characteristics, the comprehensive online attention of high-quality scenic spots in Yunnan Province presents the spatial agglomeration characteristics of “the multi-core linkage of high-density in the east and north, and sub-high-density in the south” (4) The factors influencing the purchase behavior of potential tourists are sharing experience, attracting attention, generating interest and searching information. Discussion: By exploring the formation mechanism of high-quality scenic spots online attention in Yunnan Province and the mechanism of its spatial differentiation, this study not only enriches the logical chain of “tourism information source → potential tourists → demand driven → tourism information search → travel preference → destination selection → purchase decision → travel experience → real tourists → feelings after traveling → focus on feedback → tourism information source,” but also broadens the application scenarios and application boundaries of travel preference theory and AISAS behavior model to a certain extent. [ABSTRACT FROM AUTHOR]

Economic uncertainty will result in consumers' unstable environment expectations, thus affecting household consumption decisions. The paper established a consumption model though using the cointegration theory and ECM model, and used the annual data from 2002 to 2021 to examine the influence of uncertain expectations on the consumption behavior of rural residents in China. The research results show that consumers' income, consumption, consumption habits liquidity constraints and precautionary savings jointly produce the feelings of uncertainty, which will lead to rural consumers' uncertain expectations. Uncertain expectations will not only lead to rural residents the prudent consumption behavior of residents, but also lead to the lack of confidence of residents, forming phased consumption characteristics. Combining the results of the empirical analysis, this paper gives suggestions to promote rural consumption from the perspective of increasing rural residents' income, reforming the income distribution system, improving the rural financial system, and reinforcing the construction of rural consumption infrastructure. [ABSTRACT FROM AUTHOR]

Aquatic foods ensure food and nutrition security for billions of consumers around the world. As part of food systems, aquatic foods provide nutritious, affordable, convenient options for healthy diets, and can also foster sustainable food production. Within the food system framework, the food environment is the space that connects food procurement to consumption. The food environment influences consumer decisions on which foods to acquire. To date there has been relatively little focus on creating an enabling food environment that supports consumers in decisions to obtain aquatic foods. To fill this gap, we conducted a narrative review of literature from 2000-2020 to document the availability, affordability, convenience, promotion, quality and sustainability of aquatic foods within diverse food environments. Our review highlighted several opportunities that can support development and promotion of convenient, high quality aquatic foods. We also noted several research gaps. For example, some consumers, especially those in high income countries, respond well to labels related to sustainability and also to messaging to consume diverse types of fish, especially lower tropic species like anchovy. However, less is documented on how promotion influences consumers from LMIC. The paper also notes a gap in assessment of the price and affordability of aquatic foods. Most price and affordability assessments do not provide details on which aquatic foods were considered in the costing assessment. In addition, wild or home-harvested aquatic foods are often not accounted for in price and affordability assessments. Using case studies, we demonstrate how considering the food environment in research and implementation strategies can add value to program design. For example, processing tuna frames and underutilized small fish species into powder is one innovation that reduces food waste and also creates a convenient, quality product. These results provide the foundation for deepening our understanding of how key elements of the food environment influence consumers' decision-making and how these elements can be considered in future research, programming and policy efforts. [ABSTRACT FROM AUTHOR]

Various aspects of sustainable food consumption have been studied within the Social Sciences in the last years. Specifically, the analysis of motivations and determinants behind alternative economic practices has gained prominence in disciplines such as Sociology, Psychology, Economics and Marketing, seeking to understand, measure and calculate consumers' decision-making processes and actions through the application of cognitive theories and qualitative predictive models. Anthropology--more specifically through the practice of ethnography--, has also made significant contributions, mostly toward the analysis and description of contemporary cooperative experiences, both in rural and urban settings. However, within this field, few studies have focused on the underlying values, as well as the symbolic, emotional/affective, and identity-based incentives that exist behind the participation in sustainable, proenvironmental, organic, and fair-trade food initiatives. This kind of perspective might help in comprehending how different people or social groups conceptualize their habits and link them to certain representations or beliefs. At the same time, it can provide information about the way in which actionrelated values appear in discourse and become embodied, whether they are uniform, conflicting, precede practice or emerge as a post-personal reflection of those involved. Through a review, synthesis, and analysis of qualitative literature--meta-ethnography--this paper seeks to present an overview of available academic work on the social, political, personal, material, and ethical reasons associated with partaking in alternative food networks. The findings will be analyzed and discussed in relation to a constructivist perspective, as well as debates around identity, social distinction, and gender. [ABSTRACT FROM AUTHOR]

Electricity theft damages power grid infrastructure and is also responsible for huge revenue losses for electric utilities. Integrating smart meters in traditional power grids enables real-time monitoring and collection of consumers' electricity consumption (EC) data. Based on the collected data, it is possible to identify the normal and malicious behavior of consumers by analyzing the data using machine learning (ML) and deep learning methods. This paper proposes a deep learning-based meta-learner model to distinguish between normal and malicious patterns in EC data. The proposed model consists of two stages. In Fold-0, the ML classifiers extract diverse knowledge and learns based on EC data. In Fold-1, a multilayer perceptron is used as a meta-learner, which takes the prediction results of Fold-0 classifiers as input, automatically learns non-linear relationships among them, and extracts hidden complicated features to classify normal and malicious behaviors. Therefore, the proposed model controls the overfitting problem and achieves high accuracy. Moreover, extensive experiments are conducted to compare its performance with boosting, bagging, standalone conventional ML classifiers, and baseline models published in toptier outlets. The proposed model is evaluated using a real EC dataset, which is provided by the Energy Informatics Group in Pakistan. The model achieves 0.910 ROC-AUC and 0.988 PR-AUC values on the test dataset, which are higher than those of the compared models. [ABSTRACT FROM AUTHOR]

is essential for achieving low-carbon development. The editorial emphasizes the need for collaboration between enterprises and governments, as well as the importance of dynamic capabilities in overcoming environmental uncertainty and driving eco-innovation. Additionally, the article highlights the potential of the gig economy in reducing greenhouse gas emissions and transitioning to a low-carbon society. Overall, the document provides valuable insights into the challenges and opportunities of integrating low-carbon behavior management with digitalization in China. [Extracted from the article]

Brand design is an important part for enterprises to improve brand awareness and attract consumers. If a company wants to develop for a long time, it must have a good brand image. Good brand design can make a deep impression on consumers, thereby promoting purchase intention. With the advancement of technology and the development of the times, traditional brand design can no longer meet the needs of consumers, and the design of brand experience has gradually become a trend. Incorporating emotional experience into brand design can influence consumers’ brand decisions, and can also make consumers resonate with the brand, which in turn generates purchase behavior. New media is a media state produced within the framework of new technologies and technological development systems. In the context of the 5g new media era, this paper studies and analyzes brand design and its impact on consumers’ emotional experience, aiming to change the traditional brand design method and provide new ideas for brand design. In addition, combined with new media technology and mathematical relational model, the brand design method based on consumer emotion is discussed. The results show that the brand design method proposed in this paper can increase the emotional experience of consumers and improve the brand praise by 7.3%. [ABSTRACT FROM AUTHOR]

Despite the increasing sustainable practices from the luxury industry, research show little evidence on consumers' reactions toward sustainable luxury. This paper aims at understanding changes in consumers' consumption behavior toward sustainable luxury fashion products in the Post-Pandemic Era. We use exploratory qualitative research conducted by semi-structured in-depth interviews involving luxury consumers in China based on grounded theory. With the help of Nvivo12, the interview data is coded and analyzed to identify the influencing attitude and intention of sustainable luxury fashion in China in the Post-Pandemic Era. The findings show that hedonic value, uniqueness value, social value, functional value (practicality, quality, and value for money), health value and sustainable value affect purchase intention toward sustainable luxury in the Post-Pandemic Era. A theoretical model is built to systematically analyze the determinants of purchase behavior. This study will contribute to the literature on sustainable luxury fashion behaviors by performing in-depth interviews in the Post-Pandemic Era. Besides, the findings provide guidance for industries to make customer-based sustainable strategies when practicing sustainable development in luxury fashion in China. [ABSTRACT FROM AUTHOR]

In an era of swift societal changes and escalating consumerism, this paper presents an exploration of an innovative approach that integrates product marketing strategies, mixed reality (MR) technology, and affective neuroscience theories to actualize consumers' existential dreams. MR, with its unique capacity to blend the virtual and real worlds, can enhance the consumer experience by creating immersive, personalized environments that resonate with consumers' existential aspirations. Insights from affective neuroscience, specifically the brain's processing of emotions, guide the development of emotionally engaging marketing strategies, which strengthen the connection between consumers, products, and brands. These integrated strategies not only present a novel blueprint for companies to deepen consumer engagement but also promise more fulfilling and meaningful consumer experiences. Moreover, this approach contributes to societal well-being and prosperity, marking a significant stride in the field of marketing. [ABSTRACT FROM AUTHOR]

Neuromarketing has become a new and important topic in the field of marketing in recent years. Consumer behavior research has received increasing attention. In the past decade, the importance of marketing has also been recognized in many fields such as consumer behavior, advertising, information systems, and e-commerce. Neuromarketing uses neurological methods to determine the driving forces behind consumers’ choices. Various neuroscience tools, such as eye movements, have been adopted to help reveal how consumers react to particular advertisements or objects. This information can be used as the basis for new advertising campaigns and brand promotions. To effectively explore the research trends in this field, we must understand the current situation of neuromarketing. A systematic bibliometric analysis can solve this problem by providing publishing trends and information on various topics. In this study, journals that focused on neuromarketing in the field of marketing between 2010 and 2021 were analyzed. These journals were core journals rated by the Association of Business Schools with three or more stars. According to the data analysis results, neuromarketing has 15 main journals with relevant papers. Based on the data collected by the Web of Science (WOS), this study mainly collected 119 references and analyzed the most productive countries, universities, authors, journals, and prolific publications in the field of neuromarketing via Citespace. Through the analysis of knowledge maps, this study explored the mapping of co-citation, bibliographic coupling (BC), and cooccurrence (CC). Moreover, the strongest citation bursts were used to study popular research at different time stages and analyze the research trends of neuromarketing research methods and tools. This study provides an overview of the trends and paths in neuromarketing, which can help researchers understand global trends and future research directions. [ABSTRACT FROM AUTHOR]

The study of consumer responses to advertising has recently expanded to include the use of eye-tracking to track the gaze of consumers. The calibration and validation of eye-gaze have typically been measured on large screens in static, controlled settings. However, little is known about how precise gaze localizations and eye fixations are on smaller screens, such as smartphones, and in moving feed-based conditions, such as those found on social media websites. We tested the precision of eye-tracking fixation detection algorithms relative to raw gaze mapping in natural scrolling conditions. Our results demonstrate that default fixation detection algorithms normally employed by hardware providers exhibit suboptimal performance on mobile phones. In this paper, we provide a detailed account of how different parameters in eye-tracking software can affect the validity and reliability of critical metrics, such as Percent Seen and Total Fixation Duration. We provide recommendations for producing improved eye-tracking metrics for content on small screens, such as smartphones, and vertically moving environments, such as a social media feed. The adjustments to the fixation detection algorithm we propose improves the accuracy of Percent Seen by 19% compared to a leading eye-tracking provider's default fixation filter settings. The methodological approach provided in this paper could additionally serve as a framework for assessing the validity of applied neuroscience methods and metrics beyond mobile eye-tracking. [ABSTRACT FROM AUTHOR]

Mandatory energy efficiency label is an effective way to change consumers' consumption habits and guide them to buy energy-saving appliances. However, few studies concerned about the impact of energy efficiency label on consumers' purchasing behavior. Based on the theory of planned behavior (TPB), social cognitive theory and signaling theory, this paper constructs a theoretical model of the effect of the energy label on consumers' purchasing behavior of energy-saving household appliances. The survey data of 396 household appliance consumers in Mianyang City, China, are collected by the interception method, and the theoretical model is tested by structural equation modeling (SEM). Empirical results of this study indicate that consumers' cognition and perceived value of energy efficiency label significantly affect label trust. Perceived value has a significant impact on consumers' purchasing behavior of energy-saving appliances, while label cognition and label trust indirectly influence consumers' purchasing behavior through the intermediary variable of purchase intention. External environmental factors such as publicity and education as well as subjective norms affect consumers' actual purchasing behavior through the intermediary effect of purchase intention. This study provides important insights into the policy intervention measures to promote consumers' purchasing behavior of energy-saving appliances. [ABSTRACT FROM AUTHOR]

Introduction: Museums use digital resources to provide online services to the public, and a “digital museuming” boom has started. The mechanism of online museum visiting and its impact on willingness to visit on site has become an important issue of widespread concern. Therefore, based on the theory of presence and cognitive-emotional-behavioral theory, this paper introduces perceived value and cultural identity as mediating variables to explore the influence of the digital museuming experience on the willingness to visit on site from the audience’s perspective. Method: Questionnaires were distributed, using the snowball sampling method, and 429 valid questionnaires were returned. Results: The empirical test presents the following results: (1) virtual reality technology multi-dimensionally expands the digital museuming experience; (2) immersion, interaction and available experience promote willingness to visit on-site; (3) hedonic experience in the process of digital museuming cannot be ignored; and (4) perceived value and cultural identity play a mediating role. Discussion: User experience of visiting virtual museums, perceived value and cultural identity influence user willingness to visit museums in the field, but perceived value does not enhance the user’s cultural identity, maybe due to the inability of the online experience to increase the depth of the experience. [ABSTRACT FROM AUTHOR]

This paper explores the evolutionary rules of work-safety-service purchasing strategies of enterprises under hierarchical mixed supervision. Considering the influence of the central government’s inspection on local governments, an evolutionary game model is built which depicts the mutual interactions of work-safety-service purchasing strategies from enterprises and supervision strategies from local governments. The existence and stability of system equilibrium points are analyzed, and the influence of different parameters’ variation on the evolutionary results is demonstrated through numerical simulation. It is found that different ranges of parameters affect the number and stability of equilibrium points and the evolutionary trend. The system converges to two different patterns. In the first pattern, local governments choose to supervise enterprises strictly and enterprises choose to purchase work-safety service, which is a desired pattern. In the second pattern, local governments choose to supervise enterprises loosely and enterprises choose not to purchase work-safety service, which is an undesired pattern. When it has five equilibrium points, it is feasible to make the system converge to the desired pattern through modifying relative parameters, avoiding the undesired pattern. The system is more likely to converge to the desired pattern with the higher initial ratio of local governments opting for strict enterprise supervision; the system is more likely to converge to the desired pattern when the central government exerts a stricter inspection on local governments; the system is more likely to converge to the desired pattern when local governments exert stricter ex ante and ex post safety supervision on enterprises. The system is more likely to converge to the undesired pattern when the ex ante supervision costs of local governments get higher. Subsidies from local governments for the purchase of work-safety service barely affect the evolutionary trend of the system. [ABSTRACT FROM AUTHOR]

The aim of this paper is to conduct a revenue management study, generating a theoretical model that establishes the relationship between the factors of a Short-Term Rental apartment offered on the Airbnb marketplace or similar and its optimal rental price set when the property is first put on the market, considering not only the characteristics defined in the platform listing but also the sociodemographic characteristics of the area in which the apartment is located. The research process was structured in six phases as case study for the technology transfer model. First, research planning was conducted to estimate the time, cost, and suitability of the research topic. Second, the study design was determined to establish a technology transfer model focusing on the theory of mixed revenue management. Third, data collection about the city of Madrid was extracted from two technological databases, namely SeeTransparent based mainly on Airbnb (28 internal characteristics of the apartment) and Deskmind Research (9 sociodemographic variables of the area in which the apartment is located). Fourth, the data were prepared to create a new descriptive variable of the apartments based on geolocation. Fifth, the analysis of this study was applied to explore the correlation between the price charged per night, the 28 internal characteristics of the apartments, and the 9 sociodemographic variables of their surrounding areas. Sixth, with this integrated database, the information was transformed into multivariate inferential statistics through Exploratory Factor Analysis and Multiple Linear Regression, creating a technology transfer model (big data algorithm) that allows revenue managers to set the price of an apartment based on known information, prior to having a history of market reactions. This research process and model consider some of the factors affecting the psychological behavior of tourism consumers. Practical implications of the findings indicate that the size/capacity of the apartments used for Short-Term rentals largely determines the initial rental price set (72%). The equipment offered by the apartments has a moderate impact (18%), and the sociodemographic characteristics of the surrounding area have a minor influence (11%). [ABSTRACT FROM AUTHOR]

Consumers’ inclinations towards materialism and compulsive buying are influenced by a variety of factors. Materialistic consumers face maladies that cause stress and lower subjective well-being and are unable to control their buying behaviour that in turn leads to social and financial issues. This paper aims to investigate the effect of emotional intelligence training on consumers’ materialism and compulsive buying. The experimental design involves 36 respondents across both groups. Findings confirm the hypothesis that ability-based training programmes can help consumers improve their emotional intelligence whilst also lowering their levels of materialism and compulsive buying. In sum, the results extend the existing literature on consumer materialism by providing an explanation on how specific emotional ability-based training can diminish materialistic and excessive buying inclinations. The development of emotional intelligence skills-based training programmes contributes to more sustainable consumer behaviour, mitigating the vulnerability to materialism and related addictive behavioural consequences. [ABSTRACT FROM AUTHOR]

Nowadays, the traditional production is unable to meet the new diverse needs of target customers. In the current customization era, more and more companies are required by customers to provide more desirable customized products. However, research on customization and standardization based on quantitative analysis has drawn little attention in the literature of dual channel supply chain. In this paper, we study the effect of adopting a dual channel supply chain on the performance of a two-level system (manufacturer-retailer) by using a novelty quantitative approach. We try to analyze the system to get optimal prices and maximize profits, where manufactures offer both standardized and customized products via their traditional and customized channels, respectively. We build a Stackelberg game mode to construct a centralized and a decentralized dual channel scenarios. Furthermore, we study the effects of the different channel structures on price, degree of customization, degree of standardization, and supply chain profitability. We also analyze the effects of both standardized and customized demand sensitivities on their prices and profits. Eventually, we introduce a cost-sharing coordinating contract to optimize the channel’s performance. We find that the potential market demand for customization affects the price of customized products and the profits of customized channels. Compared with the decentralized dual channel case, the cost-sharing contract can achieve higher total channel profits. In the costcoordination case, there is an optimal range for the proportion of standardized costs borne by manufacturers. [ABSTRACT FROM AUTHOR]

In this paper, we investigated the quarantine hotel (QH) booking intention (BI) of potential consumers from a corporate social responsibility (CSR) perspective. Mixed methods were adopted to explore the formation mechanisms of QH BI of potential consumers when the COVID-19 pandemic recedes. In Study 1, we constructed a theoretical model of QH BI of potential consumers based on grounded theory and put forward research propositions. In Study 2, we tested the robustness of the model and identified the mediating effect through two situational experiments. The research results showed that: (1) Potential customers are more willing to book QHs than normal hotels (NHs). (2) Multiple mediating mechanisms are involved in the effect of the operation as a quarantine facility on BI of potential consumers, including “QH-corporate social responsibility (CSR)-customer trust (CT)-BI” and “QH-CSR-customer gratitude (CG)-BI.” This research not only has theoretical significance for deepening and expanding social exchange theory and hotel CSR theories but also provides guidance for the participation of the hotel industry in the prevention and control of the COVID-19 pandemic and hotel marketing after the pandemic ends. [ABSTRACT FROM AUTHOR]

Cultural psychology has great potential to expand its research frameworks to more applied research fields in business such as marketing and organizational studies while going beyond basic psychological processes to more complex social practices. In fact, the number of cross-cultural business studies has grown constantly over the past 20 years. Nonetheless, the theoretical and methodological closeness between cultural psychology and these business-oriented studies has not been fully recognized by scholars in cultural psychology. In this paper, we briefly introduce six representative cultural constructs commonly applied in business research, which include (1) individualism vs. collectivism, (2) independence vs. interdependence, (3) analytic vs. holistic cognition, (4) vertical vs. horizontal orientation, (5) tightness vs. looseness , and (6) strong vs. weak uncertainty avoidance. We plot the constructs on a chart to conceptually represent a common ground between cultural psychology and business research. We then review some representative empirical studies from the research fields of marketing and organizational studies which utilize at least one of these six constructs in their research frameworks. At the end of the paper, we recommend some future directions for further advancing collaboration with scholars in the field of marketing and organizational studies, while referring to theoretical and methodological issues. [ABSTRACT FROM AUTHOR]

Changes in consumer behavior are forcing companies to rapidly shift their distribution channels toward an omnichannel model. In the case of the ophthalmology sector, however, the purchase of contact lenses and prescription glasses requires professional examination by a trained eye specialist. This peculiarity of the sector affects the shift toward omnichannel. This paper is novel in that it addresses a research gap by studying the distribution channels for regulated products and services such as health products that required a closer professional service. This paper addresses the transformation of companies toward an omnichannel model using a common scientific forecasting method (i.e., the Delphi method) to identify trends and problems. In this scenario of high complexity and uncertainty where there is insufficient relevant quantitative information for decision making, the Delphi method is applied to ensure a consensual decision-making process. Consensus was reached by a panel of 11 experts on the Spanish ophthalmology sector after three rounds of questioning. The final set of indicators involve 19 different criteria grouped into four categories (1) current situation of the distribution channel, (2) changes in distribution channels, (3) trends and near future of the distribution channel, and (4) consequences and adaptations for supply chain agents. The results from each round of consultation were then analyzed by means of statistical analysis with SPSS and discussed for each category. The results confirm that traditional intermediaries face difficulties to avoid being squeezed out of the sector because of shortening distribution channels and the entry of new online intermediaries with service integration models. We identify future scenarios and define actions that different agents can take to enhance their competitiveness in the short and long term. The arrival of omnichannel distribution is inevitable in the ophthalmology sector, entailing a major transformation from a rigid traditional distribution model to a more complex and flexible model following the entry of new online intermediaries. [ABSTRACT FROM AUTHOR]

Remanufacturing is one of the important means to achieve circular economy and improve the reuse of resources. But, compared with the reuse of old parts, most ordinary Chinese consumers are not familiar with remanufacturing. Because of this, the development of China's remanufacturing industry is hindered. This paper introduces two kinds of consumer goods with different attributes, namely MP4 (the hedonic product) and cartridge (the functional product). The empirical study on the consumption behavior of Chinese consumers when they are faced with a variety of recycling options was performed. Empirical studies are divided into two stages: participants need to give hypothetical purchase decisions when facing situations of two products (new products and remanufactured products) and three products including refurbishment products, respectively. This paper analyzes the purchase intention and decision-making process of Chinese consumers for remanufactured products, new products, and refurbished products in these two situations. The consumers' willingness to pay for remanufactured products and refurbished products is also part of the study. The experimental results verify that consumers have a different selection mechanism for new products, remanufactured products, and refurbished products, and there is also a certain relationship between this selection mechanism and the attributes of the product itself. The research shows that due to the different product attributes, consumers pay different attention to the environmental protection, quality, brand, price, and new and old preferences of products. The result of the model shows that the choice behavior of different products and their willingness to pay are also affected by different levels of these attentions. Through the research results, this paper finds conclusions like refurbished products have an impact on the development of remanufactured products, and consumers pay more attention to price but do not pay attention to environmental protection. The conclusion of the study provides references and practical implications for Chinese remanufacturing enterprises to formulate market strategy, for the government to formulate relevant policies, and for OEM production. [ABSTRACT FROM AUTHOR]

The market for sex robots is on the rise with the development of human-computer interaction. However, most sex robots on the market are presented as male-friendly products. This issue may limit and hinder females' adoption and utilization of sex robots. This paper was to take females as the research subjects exploring and verifying several concerns based on previous theories and to conduct primary research and quantitative method to investigate: (i) how females differently perceive same-gender and heterogender sex robots; (ii) their attitudes and the knowledge or definition of sex robots; and (iii) their intention of adopting heterogender robots. This study confirmed several previous theories and provided new findings and insights. Females are more likely to feel threatened by the presence of same-gender sex robots. Their negative attitudes are related to the way that sex robots exist. They are jealous of same-gender sex robots; nevertheless, this should not be attributed to their negative perception of sex robots since they also have positive perceptions and intentions to adopt a sex robot. They define sex robotsmore as sexual products than as engaging in the prostitution industry. [ABSTRACT FROM AUTHOR]

Consumer well-being is a micromarketing concept that emphasizes on contributions of marketing activities in social welfare. The major objective of the current study is to analyze the impact of self-incongruence on brand dissatisfaction, brand hate, and consumer well-being. This study has utilized the Self-incongruity Theory and the Stimulus-Organism-Response model to test the impact of self-incongruity on anti-consumption and consumer voice behaviors, and subsequent effects on consumer well-being. Data were collected from young consumers of technology products from major cities of Pakistan. A total of 592 consumers answered a paper-andpencil questionnaire using purposive sampling technique. The data were analyzed by partial least square structural equation modeling. The findings of this study reveal that functional and symbolic incongruity predict brand hate and dissatisfaction, which is positively related with brand retaliation. Brand retaliation is negatively related with consumer well-being. This study offers implications for product designers, marketers, advertisers and other stakeholders to improve congruence between what young consumers of technology products expect and what brands are offering to mitigate negative attitudes and behaviors and increase consumer well-being. [ABSTRACT FROM AUTHOR]

In recent years, there is the popular phenomenon of “grass planting” marketing. The value co-creation behavior of ordinary consumers KOC (key opinion consumer) in the online community is sometimes out of utilitarian intentions, which is deemed as plain people’s “grass planting” advertising in a certain degree. We collected the tourists’ data in Chinese Grand Canal National Cultural Park, analyzed the impact of value co-creation behaviors such as tourists’ experience sharing, topic discussions, and suggestions in online communities on the value of tourism experience and the quality of brand relationships under the “planting grass” marketing environment and verified the moderating mechanism of tourist altruism in it. According to the results, tourists’ online value co-creation behavior has a significant positive impact on the consumer-brand relationship quality, and experience value plays a mediating role. Tourists’ online value co-creation behavior has a significant positive impact on experience value, in which altruism plays a moderating role. The greater the tendency of altruism, the higher the impact of tourists’ value co-creation behaviors on their experience value, and vice versa. This conclusion is not only of great significance in deepening and improving theories of value co-creation, altruism, experience value and consumer-brand relationship quality, but also has important certain management enlightenment on how to combine the design of merchant value co-creation incentive mechanism with altruism in “grass planting” marketing. [ABSTRACT FROM AUTHOR]

In the past two decades, a growing number of Chinese young adults utilize online consumer credit to satisfy their increasing consumption demand. Although it is indeed boosting consumer markets, it has also caused many serious social problems. A number of previous studies discussed the authentication mechanism and legal supervision of online lending from a legal or economic perspective, and a small number of scholars explored factors affecting individuals' online consumer credit from the perspective of behavioral psychology. Based on the Triandis model and existing studies on online lending, this paper constructs a theoretical model for the formation of individuals' online consumer credit. It then adopts SmartPLS 3.00 to analyze the data set that involves 302 respondents in total. This research found that affect, facilitating conditions, perceived consequences and social factors have a significant impact on individuals' online consumer credit. The findings of this study have political and practical implications. First, they can contribute to the rational consumption by China's young generation and promote the sound development of online consumer credit. In the meantime, this study also helps online consumer credit platforms to provide better services and improve public relations. [ABSTRACT FROM AUTHOR]

Purpose: The global COVID-19 pandemic impacted the healthcare systems of every nation. The scarcity of medical protective equipment led to impulse buying at the early stages of the COVID-19 outbreak in China which resulted in stockpiling and the increase of prices by retailers and insufficiencies among frontline workers. This situation impacted epidemic control work and market order and is the context from which this paper identifies how the scarcity of medical protective equipment affected Chinese consumers' impulse buying based on the theories of S-O-R model and bandwagon effect. The research provides insight into the mechanism of mediation (fear of missing out) and moderation (bandwagon) in the relationship between scarcity and impulse buying. Design/Methodology/Approach: This study uses convenience sampling, surveying 488 Chinese consumers through an online questionnaire. Smart-PLS was used to test the hypotheses. Findings: The empirical findings demonstrate that scarcity makes consumers fear missing the chance of getting protective medical equipment, leading ultimately to impulse buying. Besides, the scarcity effect on consumers' impulse buying was found to depend on other consumers' follow up behaviour in such emergency situations. Research Limitations/Implications: The findings provide managerial and theoretical insight and a point of reference for businesses in the implementation of a scarcity strategy. The findings will also prove useful to the Chinese Risk Response Department as it continuously improves its responses to the risk of consumers' impulse buying during a pandemic. Originality/Value: This study consolidates and takes research forward in the areas of impulse buying and consumer behaviour, confirming the mediating effect of fear of missing out and the moderating effect of the bandwagon in the relationship between scarcity and impulse buying. [ABSTRACT FROM AUTHOR]

Grounded on the cognitive consistency theory, this paper adopts the prime-probe paradigm and Electroencephalography (EEG) experiment to examine the impact of country-of-origin (COO) stereotypes-brand positioning congruence on consumer behavior, the boundary effect of brand positioning strategy, as well as the underlying cognitive mechanism. Behaviorally, consumers show a higher purchase intention in the congruence condition. Moreover, this congruence effect of purchase intention can be found for competence brand positioning strategies rather than warmth brand positioning strategies. At the brain level, we found that compared with the congruence condition, the incongruence condition enhances consumers' cognitive conflict, reflected in enhanced frontal theta-band oscillation. Furthermore, the cognitive conflict effect is accentuated in the competence positioning strategy condition rather than the warmth strategy positioning condition, confirming the boundary effect of brand positioning strategy from the brain level. These findings provide neural evidence that the congruence between COO stereotypes and brand positioning influences consumer purchase behavior, reveals a boundary effect in the COO stereotype-brand positioning congruence, and highlights the importance of the competence dimension. Finally, the theoretical and practical implications are discussed. [ABSTRACT FROM AUTHOR]

In terms of scenic marketing, big data research also plays an important role in the precise marketing of scenic spots. This paper has focused on the big data related to scenic spots as the research object, explores the relationship between various subdivision big data and the number of tourists in scenic spots, and investigates the difference and influence of the consumption behavior of the secondary consumption items in the scenic area, to find the potential of the scenic area's business growth and to promote the continuous and stable growth of the scenic area's sales and tourism economy. Using the relevant theories and analysis methods, such as consumer behavior, big data, and tourism consumer behavior, the content mainly focuses on the establishment of the analysis model of the number of tourists in the scenic spot, the data collection, the estimation of the model parameters, the various types of big data, the calculation of the contribution rate of the data to the number of tourists in the scenic spot, and the difference analysis of the secondary consumption items of different types of tourists in the scenic spot. Results show that a multi-objective analysis model is established based on the relevant econometric theories, and an optimization plan is proposed after the multicollinearity diagnosis of the model; to establish a data envelopment analysis (DEA) model of the difference and influence of different types of tourists' consumption behavior in scenic spots and study the consumption behavior characteristics of different types of tourists when they purchase secondary consumption items in scenic spots; the econometric model is used to analyze the big data, adjust the linear relationship of some variables, then adopt the method of gradually adding variables combined with the consumer theory, and finally determine the number of daily tourists as the explained variable, the number of internet protocol (IP), Baidu index, and the virtual value of the weekend, dummy variables for variables, bounce rate, and air pollution as explanatory variables. [ABSTRACT FROM AUTHOR]

The life we considered normal was disrupted due to measures taken to limit the spread of the novel coronavirus. Quarantine, isolation, social distancing, and community containment have influenced consumer behavior and contributed to the rapid development of e-commerce. In pandemic times, even those unfamiliar with the online environment have had to adapt and make acquisitions in this new manner. Hence, we focused our research on measuring the perception of consumers on how the restrictive measures imposed to limit the spread of the COVID-19 virus had influenced their decision to buy a product or service from the online environment, given that purchases are highly subjective and influenced by cumulative effects of economic, social, psychological and behavioral factors. Our paper comes with additional insights from the literature. It adds empirical evidence that reveals that the number of transactions and the value per transaction increased during the COVID-19 pandemic and highlights that online purchases will continue as such even after the pandemic. [ABSTRACT FROM AUTHOR]

The reality-virtuality continuum encompasses a multitude of objects, events and environments ranging from real-world multisensory inputs to interactive multisensory virtual simulators, in which sensory integration can involve very different combinations of both physical and digital inputs. These different ways of stimulating the senses can affect the consumer's consciousness, potentially altering their judgements and behaviours. In this perspective paper, we explore how technologies such as Augmented Reality (AR) and Virtual Reality (VR) can, by generating and modifying the human sensorium, act on consumer consciousness. We discuss the potential impact of this altered consciousness for consumer behaviour while, at the same time, considering how it may pave the way for further research. [ABSTRACT FROM AUTHOR]

Purpose: Drawing upon the stimulus-organism-response (S-O-R) model, this paper aims to investigate the effects of stores' environmental components (i.e., lighting, cleanliness, scent, design, layout, music, and employee interaction) on Chinese consumers' emotions and intentions to purchase luxury brands. Design/Methodology/Approach: Data were collected from Chinese consumers who have purchased luxury brands from retail stores. Partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were employed for data analysis. Findings: The results of PLS-SEM indicated that three dimensions of the store environment (i.e., music, scent, and employee interaction) directly and significantly influenced Chinese consumers' emotions. However, fsQCA revealed greater heterogeneity among respondents by highlighting stores' environmental components and Chinese consumers' emotions. Originality/Value: This study makes significant contributions to the marketing literature by examining the S-O-R model alongside fsQCA approach to conditionally predict outcomes in a luxury brand context. The present study may be one of the first to examine the effects of stores' environmental components on Chinese consumers' emotions and purchase intentions, applying both symmetrical test (PLS-SEM) and asymmetrical test (fsQCA) approaches to determine significant components of the store environment as well as component combinations that predict Chinese consumers' emotions and purchase intentions. [ABSTRACT FROM AUTHOR]

As the SARS-CoV-2 virus swept the world in late 2019, it has brought widespread fear, some suspicion, and degrees of stigma. In the shadow of the COVID-19 pandemics, a series of collective irrationalities such as panic buying, protest marches against vaccines, and pandemic stigma occurred. This phenomenon is inseparable from the spread of rumors about the epidemic. The advent of social media has radically changed the way we consume information and form opinions and made a flood of digital misinformation becoming ubiquitous. The diffusion of false rumors affects the public's perception of reality and disrupts the prevention of the epidemic. This paper analyzes the COVID-19 collective irrationalities from epidemic psychology to provide a new reference view for overcoming psychological problems related to COVID-19. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a profound psychological and behavioral impact on people around the world. Consumer purchase behaviors have thus changed greatly, and consumer services companies need to adjust their business models to adapt to this change. From the perspective of consumer psychology, this paper explores the impact of consumer purchase behavior changes over the course of the pandemic on the business model design of consumer services companies using a representative survey of 1,742 individuals. Our results show that changes in consumer purchase behavior have a significant impact on the design of consumer services firms' business models. Specifically, changes in consumers' purchase object, motive, and timeframe are more likely to spark a novelty-centered business model design, whereas changes in purchase method tend to inspire an efficiency-centered one. Our findings provide a theoretical reference for consumer services companies in designing business models when faced with unexpected crises. [ABSTRACT FROM AUTHOR]

The widening gap between production and domestic consumption has led Spain to become the country with the largest volume of wine exports, of which it has a global market share of 20.5%. Wineries in Spain have, in recent years, undergone important transformation and modernization processes, while their customers have simultaneously acquired more power than ever before owing to both the availability of information and the technological means required to access that information. The objectives of this paper are the following. We first wish to analyze current wine consumer behavior in an attempt to discover indicators associated with exploratory behavior, i.e., the willingness to try new and innovative products for the first time. We also attempt to understand the extent of wine consumers' demands in this new digital and technological world. The second goal is to analyze the changes that have taken place in the wine industry, which have come about as a result of the evolution of consumers' expectations and demands. The customer accordingly now plays a new role in this new quick change scenario, which involves aspects such as the intensive use of technology, advances in communication, digital transformation, etc. We consider that this could affect some aspects of business and have, therefore, chosen to analyze one of the most advanced Spanish wineries in order to examine its entrepreneurial orientation, strategy and level of technological and digital transformation when linked to adaptation to this new consumer behavior. The results and conclusions obtained will allow us to apply our findings in future research, during which we intend to expand our studies to wineries from other regions and countries. [ABSTRACT FROM AUTHOR]

Consumers often feel embarrassed when buying products like condoms, hemorrhoid cream, and beriberi cream in crowded pharmacies. There is an interesting phenomenon in life: Some beriberi creams use the images of a "real foot", while others use the images of a "cartoon foot." Imagine if a young woman needed to go to a retail store for beriberi cream that would embarrass her, she would choose a "real foot image" or a "cartoon foot image" beriberi cream? It has been shown that the embarrassment of these products has a strong negative impact on consumer buying behavior. Previous researches have explored how changing packaging elements of embarrassing products (e.g., color/design/image placement) can effectively reduce consumer embarrassment. However, few have examined the impact of different image types of embarrassing product packaging (artificial vs. natural) with embarrassment. Therefore, this research explores the effect of image types (artificial vs. natural) on consumers' willingness to purchase embarrassing products and reveals the mechanisms of the underlying effects. The results show that natural images can lead to lower purchase intention of embarrassing products when the advertisement uses first-person pronouns due to the mediating role played by negative body imagery. However, there is no significant difference in purchase intention between different image types in the third-person pronouns. Finally, this paper discusses its contributions and limitations. [ABSTRACT FROM AUTHOR]

It is becoming increasingly important for marketers to use online broadcast media and interactive media simultaneously. In this paper, three studies were conducted to explain the mechanism inherent in a synergistic effect. We ran Study 1 to test the synergistic effect of online broadcast media and interactive media on purchase behavior. We conducted Study 2 (synergistic vs. non-synergistic groups) to test the differences between the groups. Study 2 was a 2 (interference vs. no interference terms) × 2 (synergistic vs. non-synergistic groups) experiment to test whether the interaction between online broadcast media and interactive media is a necessary condition for the synergistic effect. Finally, Study 3 was conducted to test the difference in the level of information processing between online broadcast media and interactive media as a necessary condition for the synergistic effect. We designed a 2 (questioning vs. not questioning) × 2 (synergistic vs. non-synergistic groups) experiment to examine the difference between the groups. The results show that online broadcast media and interactive media have a synergistic effect on consumer purchase intention and memory. Study 1 shows that participants in the synergistic group had a higher purchase intention than participants in the non-synergistic group. Study 2 revealed a significant cognition interaction effect on product memory between online broadcast media and interactive media. Finally, in Study 3, the difference in the information processing level between broadcast media and interactive media had a significant synergistic effect on product memory. [ABSTRACT FROM AUTHOR]

An in-depth and refined empirical study on the emotional expression of information and the information processing mechanism of audiences is carried out to provide enterprises and other organizations with insights and references as regard to the effective utilization of WeChat Tweets for information dissemination and marketing purposes. Based on 1,465 actual tweets from two different types of WeChat public accounts (knowledge communication and information releasing), this paper applies the limited attention capacity model and the signaling theory to analyze the influence of emotional presence, emotional complexity, emotional intensity, and emotional polarity of tweet titles on the click-and-read behavior of the audience. The results show that for WeChat public accounts serving the purpose of knowledge communication, emotional presence and emotional complexity of tweet titles, as well as the emotional intensity of positive tweet titles, has no significant effect on the click-and-read behaviors of the audience. Besides, the emotional intensity of negative tweet titles has a significant negative impact on the audience's click-and-read behaviors. While for WeChat public accounts serving the purpose of information releasing, tweet titles with emotional presence and lower level of emotional complexity are more likely to trigger click-and-read behaviors of audiences; emotional intensity of negative tweet titles has no significant effect on the click-and-read behaviors of audiences, and emotional intensity of positive tweet titles has a significant negative impact on the audience's click-and-read behaviors. Thus, this study further analyzes the influence of emotional factors, such as emotional existence, emotional complexity, emotional intensity, and emotional polarity of tweet titles on the click-and-read behavior of consumers and further explores the emotional information processing mechanism of WeChat tweet readers. [ABSTRACT FROM AUTHOR]