The effect of place attachment of geographical indication agricultural products on repurchase intention

[Objective] This study aims to investigate how place attachment and the quality of experience affect consumers' intention to repurchase Geographical Indication (GI) agricultural products. [Methodology] Based on the special functional value and symbolic meaning of GI agricultural products, we constructed a five-dimensional model of place attachment for GI agricultural products consumers. Expanding on the original two-dimensional place attachment model, we introduced three connection concepts: nature, society, and emotion. We also combined this model with the quality of experience model and consumer purchase intention model to form a research model of repurchase intention for GI agricultural products. A questionnaire survey was used to collect data (n = 340), and a partial least squares structural equation model was used to test the empirical evidence. [Research results] (1) Place attachment to Geographical Indication agricultural products significantly affects the quality of experience. (2) Quality of experience significantly affects consumer trust and repurchase intention. (3) Consumer trust significantly affects repurchase intention. (4) There is a mediating effect of experience quality between place attachment and repurchase intention; there is a mediating effect of trust in the relationship between quality of experience and repurchase intention. (5) There is a chain mediating effect of “place attachment→quality of experience→consumer trust→repurchase intention” in the model.     

Fashion and the metaverse: Clarifying the domain and establishing a research agenda

In recent years, the metaverse has garnered significant attention as a term referring to a network of 3D virtual worlds that integrate elements of both physical and digital worlds. Fashion brands have begun exploring the metaverse as a new marketing platform, which is expected to bring about substantial changes in the fashion and retail industry. However, a lack of consensus on the nature of the metaverse and its impact on the fashion industry currently exists, and limited academic research is available on the metaverse's influence on fashion brands' marketing strategies and brand experiences. To address this gap, this study employs a thematic analysis approach on trade journals and industry articles that cover fashion brands' metaverse strategies. Through this analysis, the study provides a typology of current marketing strategies of fashion brands in the metaverse. Based on these empirical findings, this research proposes a theoretical framework that explains how different metaverse strategies affect different dimensions of brand equity. Finally, this study offers research directions for fashion brands' metaverse strategies by presenting an integrated framework that synthesizes the key insights from our research findings.     

Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable

Social media emerged as a primary source of information among young users, but its severe effect on mental state due to information overload, still an area of concern for the researchers. Generation Z users' addiction to the mobile phone/gadgets is increasing with a rise in social media and consequently their behavioral outcomes have transformed completely. Nowadays behavioral issues including stress, fatigue, ‘fear of missing out’ and ‘phubbing’, anxiety etc. rising each day but the relationship among these issues and information overload is less examined. The social media users are unable to filter the trustworthy information due to its enormous size and thus role of information support from government becomes essential. The current study extends the S-O-R theory exploring relationship between the stimulus of enormous information on the responses generated among the Generation Z such as social media fatigue, ‘fear of missing out’, ‘phubbing’ and anxiety. The findings from a sample of 319 users belonging to Generation Z suggest that social media platforms need to understand user's compulsive usage that is resulting into fatigue and consequently anxiety. The role of government information support on reducing fatigue and anxiety is found to be positive. The relationship between ‘fear of missing out’, ‘phubbing’ and anxiety is found significant and shows presence of partial mediation. The study offers significant theoretical and practical implications. It is significant for the service providers and social media platforms to advance interfaces with minimum fatigue for the users and offers information support to the users to reduce stress caused by information load.     

On linking the perceived values of mobile shopping apps,customer well-being,and customer citizenship behavior: Moderating role of customer intimacy

Marketing studies that seek to determine the drivers of Customer Citizenship Behavior (CCB) are still relatively rare, especially for its multi-faceted relationship with perceived values in the context of online transactions. This study seeks to bridge this research gap by exploring the relationship between the perceived values of mobile shopping applications (MSApps) and CCB through perceived well-being based upon the social exchange theory. This study also makes another original contribution by investigating the moderating role of customer intimacy. A quantitative approach was adopted by collecting data through a web survey and then applying structural equation modelling, as well as cluster and multigroup analyses to test the proposed hypotheses. Perceived values were found to influence consumer well-being, thus predicting CCB, with consumer intimacy playing a significant moderating role in this relationship. This study is one of a few seeking to verify the drivers of CCB for MSApps, and it is the first of its kind to investigate consumer intimacy as a moderating factor. The findings will prove useful to providers of MSApps and retailers.     

A “load-carrier” perspective approach for assessing tourism resource carrying capacity

To address the challenge of global tourism resources being overloaded or underutilization, there requires an adequate method for assessing the tourism resource carrying capacity (TRCC). However, the majority of previous evaluation perspectives on TRCC are limited by thresholds. This paper develops an innovative approach for assessing TRCC from the “load-carrier” perspective. TRCC is assessed by exploring the interaction between the carriers and loads of tourism resources. Chongqing city in China is employed as the case city to demonstrate the application of the established TRCC method. The conclusions are as follows: 1) This study elaborates the new connotation of TRCC from the perspective of “load-carrier”, and establishes the TRCC evaluation system based on the dynamic relationship between the carrier and load of tourism resources. 2) The proposed TRCC evaluation method is proved effective through an empirical study of Chongqing. 3) Chongqing's case unveils that the overload performance of TRCC can be dynamically monitored and predicted. By applying the TRCC evaluation methodology developed in this study, tourism managers and policymakers can identify whether it is the load or the carrier of tourism resources that affect the performance of TRCC, thereby taking targeted policy measures to eliminate potential risks of overload or underutilization.     

Too cute to be bad? Cute brand logo reduces consumer punishment following brand transgressions

Research on brand transgressions has suggested that when a brand is involved in a transgression and perceived as harmful, consumers will punish the brand. The present research seeks to extend this literature by investigating how having a cute brand logo may reduce consumer punishment of a transgressing brand. Across five experimental studies, this research shows that a brand logo with high (vs. low) levels of cuteness associated with a transgressing brand can motivate consumers to protect the brand from harm, thus reducing consumer punishment of that brand. Notably, such motivations to protect the brand are driven by an incremental belief about the brand’s development. Moreover, the cuteness effect is attenuated in the case of repeated transgressions. Theoretical contributions to the literature on cuteness, brand logo, and brand transgression are discussed, as well as practical implications.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Antecedents of mobile payment loyalty: An extended perspective of perceived value and information system success model

Drawing on the information system success model and perceived value theory, we develop a research model to examine factors that may affect user satisfaction and loyalty of mobile payment platforms. Empirical data was collected from users using Alipay and WeChat Pay in China, and a total of 410 valid responses were gathered for data analysis. The results show that the multi-dimensional formative perceived value including benefits and sacrifice is important determinant of mobile payment user satisfaction and loyalty. The three benefit dimensions of functional value, experiential value and social value are more important value components than the two sacrifice dimensions of risk and cost, and experiential value is the dominant component of mobile payment users' value perception. As for the antecedents of perceived value, system quality and service quality mainly affect perceived benefits, while information quality has a greater impact on risk. The research results provide the contribution of specific value dimensions to users' perceived value and the impact of quality characteristics on specific perceived value for mobile payment platform providers, thus helping them to adopt effective strategies to strengthen market competitiveness and retain existing users.     

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

Website quality and users' intention to use digital libraries: Examining users’ attitudes,online co-creation experiences,and eWOM

This research aims to examine how the website quality affects the intention of digital library users to use the website by considering factors of user's attitudes, online co-creation experiences, and electronic word-of-mouth. The statistical population of the research is composed of the users of Astan Qods Razavi digital library, which is one of the oldest digital libraries in Iran. Data was collected from 402 participants who use the library and analyzed in SPSS and PLS softwares. Construct validity was assessed and confirmed using convergent validity and divergent validity. Data reliability was assessed and confirmed using Cronbach's alpha and composite reliability. The research confirms that website quality affects the attitudes of users towards the website and their intention to participate in online co-creation and eWOM. The effects of user's attitudes to the online co-creation experience, eWOM, and intention to use the library, as well as the effects of the online co-creation experience and eWOM on the intention to use the digital library were also confirmed. Considering the results of the research, it is recommended to digital libraries to provide an efficient user-friendly website designed to increase user participation and establish close contact with them and in this way increase their intention to use digital library services.