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Food quality and safety issues have always been imperative topics discussed by people. The anti-tampering of blockchain technology and the transparency of information make it possible to improve food traceability and safety quality. How to effectively apply blockchain traceability technology to food safety has great research significance for improving food safety and consumer quality trust.

The paper aims to analyze the differences in product quality levels and market participants’ profits before and after the use of blockchain-driven traceability technology in the food agricultural product supply chain (SC) in the dynamic game frameworks of supplier-led and retailer-led modes, respectively, and explores the willingness, social welfare and consumer surplus of each member of the agricultural product SC to participate in the blockchain. Besides, We investigate the SC performance improvement with the mechanism of central centralized decision-making and revenue-sharing contract, compared to the SC performance in dynamic games.

The results are obtained as follow: The adoption of blockchain traceability technology can help improve the quality of food agricultural products, consumer surplus and social welfare, but the application and popularization of technology is hindered by traceability technology installment costs. Compared with the supplier leadership model, retailer-led food quality level, customer surplus and social welfare are higher.

How to effectively apply blockchain traceability technology to food safety has great research significance for improving food safety and consumer quality trust.

Food quality and safety issues have always been hot topics discussed by people. The anti-tampering of blockchain technology and the transparency of information make it possible to improve food traceability and safety quality.

The research results enrich the theories related to food safety and quality, and provide a valuable reference for food enterprises involved in the decision-making exploration of blockchain technology.

Based on the characteristics of blockchain technology, the demand function is adjusted and the product loss risk of channel members is transferred through a Stackelberg game SC composed of agricultural products suppliers and retailers.

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  We introduce two features of blockchain: quality trust and product information tracking.

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  The willingness of each member of the supply chain to use blockchain for product traceability was explored.

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  The overall traceability effect of the retailer-led blockchain is better than that of the manufacturer-led blockchain.

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  The cost of blockchain technology is a barrier to its adoption.

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  Blockchain brings higher consumer surplus and social welfare.

We introduce two features of blockchain: quality trust and product information tracking.

The willingness of each member of the supply chain to use blockchain for product traceability was explored.

The overall traceability effect of the retailer-led blockchain is better than that of the manufacturer-led blockchain.

The cost of blockchain technology is a barrier to its adoption.

Blockchain brings higher consumer surplus and social welfare.

The purpose of this paper is to identify the dimensions and formation mechanisms of brand value on social media platforms within the prosumption logic based on the theory of value co-creation. By adopting a process-oriented mindset, this study deconstructs and applies the prosumption theory and the theory of value co-creation in the field of social media, thereby addressing the insufficiencies of previous research that focused primarily on the subject mindset. It offers reference ideas for social media brand managers to attract prosumers to engage in value co-creation.

The crawler technology and grounded theoretical method were adopted in this research paper.

Based on the logic of prosumption and the theory of value co-creation, the research finds that the brand value of social media platforms is composed of seven dimensions. The dimensions include brand recognition, brand perception quality, brand experience, brand value-in-use, brand relationship quality, brand loyalty and brand co-creation behavior. From the perspective of prosumption logic, the formation of brand value on social media platforms is a gradual accumulation process. This process involves prosumers participating in prosumption activities, progressing through several stages. Initially, it starts with “prosumption conditions”, which include brand recognition, brand perception quality and brand experience. It then moves to “prosumption processes,” characterized by brand value-in-use and brand relationship quality. Finally, it culminates in “prosumption outcomes,” represented by brand loyalty and brand co-creation behavior. From the perspective of value creation, the formation of brand value on social media platforms is a closed-loop process that includes “brand value identification and empowerment—brand value acquisition and transformation—brand value co-creation and relationship upgradation—brand value co-creation and stability—brand value feedback and iteration.”

The findings contribute to expanding prosumption and co-creation theory and enriching the prosumption logic frame. Meanwhile, it is conducive to encouraging prosumers to participate in the platform’s prosumption activities and jointly creating the brand value of the social media platform. This paper interprets prosumption through the lens of the value co-creation process.

This study explores how excellence models can leverage digital transformation on the path to sustainable development in organisations.

A survey was used to study the different facets of digital capabilities and their impact on sustainable development success of organisations holding an external recognition from the European Foundation for Quality Management (EFQM). Partial Least Squares structural equation modelling (PLS-SEM) combined with Necessary Condition Analysis (NCA) were used to analyse data.

Internalising excellence practices is decisive in mediating effective digital capabilities to achieve sustainable development. To achieve high levels of sustainable development success, organisations must achieve high levels of excellence practices internalisation, which are much more important than the excellence model external recognition.

This study addresses essential issues with theoretical and practical value but is limited to a sample of organisations with EFQM recognition in two countries. Future studies should address different organisations and cultural environments.

The findings are relevant for organisations facing digital transformation and sustainable development challenges. They are essential for managers leveraging digital capabilities to capitalise on practices and processes and achieve Sustainable Development Goals. Organisations can benefit from a multidimensional approach to digital capabilities when struggling against external challenges.

This study closes a research gap regarding the impact of digital capabilities on sustainable development success. It is the first empirical study to combine sufficiency and necessity conditions analyses to explore the mediating role of excellence practices internalisation and one of the first to address digital capabilities from a multidimensional perspective.

The aim of this research is to propose a quantitative approach to evaluating the quality of services provided, helping organizations to make strategic decisions by better understanding the characteristics that satisfy consumers.

The approach was based on the integration of the Kano model with SERVQUAL, adapted by the satisfaction equations of Albuquerque et al. (2022) and fuzzy systems theory. Through this, it was possible to infer which attributes influence customer satisfaction, identifying the ranges of satisfaction and, with the help of fuzzy, reducing the imprecision of customer perceptions.

A total of 42% of the attributes were classified as unidimensional, with attribute 11 (Reliability) and attribute 9 (Courtesy) having the highest satisfaction values. Attractive attributes accounted for 38% of the sample, with attribute 29 (Variety of products) and attribute 7 (Location) having the greatest impact on satisfaction. On the other hand, attribute 30 (Order Delay) and attribute 31 (Waiting for payment) caused more dissatisfaction among consumers (ranges −0.6, −0.71, respectively). In addition, Variety of products was the most satisfactory, while Order Delay generated the most dissatisfaction among users.

The originality of this research lies in its contribution to organizations in relation to the services offered by investigating a gap in the studies that use the Kano model, integrated with SERVQUAL, which do not include reverse attributes in their equations and analyses. With the help of fuzzy sets, the subjectivity of the individual can be translated into data for greater clarity of information.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.

This study aims to examine an emerging product–place co-branding marketing practice in China’s rural areas. The role of this practice in inclusive development is analyzed from the perspectives of value proposition innovation, market legitimacy, media coverage and brand value. Both research and practice indicate value proposition innovation to exert an important influence on brand value enhancement, but little is known about the mediating and moderating mechanisms underlying this relation.

A moderated mediation model is constructed to examine whether market legitimacy mediates the relationship between value proposition innovation and brand value. vWhether this mediating process is moderated by media coverage is also examined. The primary data are collected from semi-structured interviews and observations conducted with two common cases to develop proper scales for value proposition innovation and market legitimacy. The research includes 100 product–place co-brandings published by the Ministry of Agriculture and Rural Affairs in 2019. Hypotheses are tested using hierarchical regression and a Bootstrap model.

Value proposition innovation has a positive effect on brand value, and market legitimacy partially mediates this relationship. Media coverage positively moderates the relationship between value proposition innovation and market legitimacy, and positively moderates the mediating effect of market legitimacy; the higher the media coverage, the stronger the mediating effect of market legitimacy.

Based on data availability and accessibility, the study sample focused on indicators from 100 brands in 2019. If the Ministry of Agriculture and Rural Affairs discloses consecutive annual information for other years, future studies could explore panel data to further test the study’s conclusions from a longitudinal perspective.

First, this paper adds to the emerging literature on product–place co-branding business models by examining the relationship between value proposition innovation and brand value. Second, this paper enriches institutional theory by including market legitimacy as a mediator between value proposition innovation and brand value. Third, this paper identifies the moderating role of media coverage, thus broadening the theoretical implications of institutional theory with respect to improving market legitimacy.

In a society that encourages consumption, attributes such as exclusivity and social recognition are important in what is intended to be restricted to a certain exclusive segment. Luxury is something that is more desirable than necessary. This study develops and tests a model that analyses the brand loyalty–risk relationship in the luxury watch market.

To test the proposed research model, a sample of 306 international consumers and enthusiasts of luxury brand watches was collected. The data were analysed using structural equation modelling.

The results show that perceived quality has a negative indirect influence on brand risk and brand trust has a strong direct negative effect on brand risk. However, the findings also show that in the luxury market, the greater the affection for the brand, the greater the risk perceived by consumers.

The study was conducted in a single market, luxury watches and the sample includes both enthusiasts and consumers of the luxury brands.

Managers should be aware of the double-edged role of brand affect on brand risk. The quality of a brand and the trust in its promise decrease the risk to the consumer.

This pioneering study is one of the first to approach an underexplored topic as is the case of the risk associated with a brand in the context of the luxury goods market. Moreover, it relies on an international sample composed of consumers from several countries.

This study aims to establish a model for rapid and accurate emotion recognition in restaurant online reviews, thus advancing the literature and providing practical insights into electronic word-of-mouth management for the industry.

This study elaborates a hybrid model that integrates deep learning (DL) and a sentiment lexicon (SL) and compares it to five other models, including SL, random forest (RF), naïve Bayes, support vector machine (SVM) and a DL model, for the task of emotion recognition in restaurant online reviews. These models are trained and tested using 652,348 online reviews from 548 restaurants.

The hybrid approach performs well for valence-based emotion and discrete emotion recognition and is highly applicable for mining online reviews in a restaurant setting. The performances of SL and RF are inferior when it comes to recognizing discrete emotions. The DL method and SVM can perform satisfactorily in the valence-based emotion recognition.

These findings provide methodological and theoretical implications; thus, they advance the current state of knowledge on emotion recognition in restaurant online reviews. The results also provide practical insights into intelligent service quality monitoring and electronic word-of-mouth management for the industry.

This study proposes a superior model for emotion recognition in restaurant online reviews. The methodological framework and steps are elucidated in detail for future research and practical application. This study also details the performances of other commonly used models to support the selection of methods in research and practical applications.

Quality 4.0 is essential to the Industry 4.0 framework, notably in the electronics sector. It evaluates product quality in real-time using automatic process controls, quality tools and procedures. The implementation of Quality 4.0 criteria in the electronics industry is the subject of this study’s investigation and analysis. In this study, nine Customer Requirements (CRs) and 18 Design Requirements (DRs) have been defined to adopt Quality 4.0, aiming to increase yield while reducing defects. This study has developed a Quality 4.0 framework for effective implementation, incorporating the People, Process and Technology categories.

Many CRs and DRs of Quality 4.0 exhibit interdependencies. The Analytic Network Process (ANP) considers interdependencies among the criteria at various levels. Quality Function Deployment (QFD) can capture the customer’s voice, which is particularly important in Quality 4.0. Therefore, in this research, we use an integrated ANP-QFD methodology for prioritizing DRs based on the customers' needs and preferences, ultimately leading to better product and service development.

According to the research findings, the most critical consumer criteria for Quality 4.0 in the electronics sector are automatic systems, connectivity, compliance and leadership. The Intelligent Internet of Things (IIOTs) has emerged as the most significant design requirement that enables effective control in production. It is observed that robotics process automation and a workforce aligned with Quality 4.0 also play crucial roles.

Existing literature does not include studies on identifying CRs and DRs for implementing Quality 4.0 in the electronics industry. To address this gap, we propose a framework to integrate real-time quality measures into the Industry 4.0 context, thereby facilitating the implementation of Quality 4.0 in the electronics industry. This study can provide valuable insights for industry practitioners to implement Quality 4.0 effectively in their organizations.

To examine the impact of manufacturer reputation, retailer reputation, and product price on consumers’ perceived quality and purchasing behavior regarding organic milk.

Employing a 2 × 2 experiment, data were collected from 1,259 consumers in 32 provinces in China.

When a low-reputation manufacturer sells products through a high-reputation retailer, it improves consumers’ perception of quality and positively influences their purchasing behavior. Interestingly, setting higher prices for products manufactured by low-reputation companies and selling them through high-reputation retailers did not significantly enhance consumers’ perceived quality and deter their purchasing behavior.

The analysis expands the framework for cue diagnosis. While the existing framework primarily focuses on the influence of cue-type combinations on perceived quality, it does not integrate purchasing behavior into the conceptual framework. This limitation hinders people understanding of the theoretical mechanisms underlying the use of cues in purchasing decisions. This paper address this by gradually introducing variables, such as retailer reputation and product price, into the baseline model, thereby extending this theory. In addition, this paper advances the marketing research literature within the business-to-business-to-consumer context by examining the additive effects of manufacturer reputation, retailer reputation, and product price on consumers’ perception of quality and purchasing behavior.