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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.

While existing research has predominantly focused on the positive relationships between service quality and outcome variables, there has been limited investigation into the influence of food service quality on these variables or the moderating role of stadium atmosphere in the realm of sports marketing. This study aims to fill these gaps by examining the structural relationships between baseball stadium food quality, timeliness, satisfaction, and behavioral intention with an emphasis on the moderating effect of stadium atmosphere.

The data were collected from spectators attending baseball games. This study established the validity of the measurement scale through confirmatory factor analysis, factor loadings, average variance extracted, and construct reliability using Cronbach’s alpha. In addition, this study employed structural equation modeling with maximum likelihood estimation to examine positive relationships and mediating effects and used Jamovi statistical software to conduct moderation analysis.

The findings demonstrate the significant impacts of food quality on satisfaction and behavioral intention, the positive effects of timeliness on satisfaction and behavioral intention, and the notable influence of satisfaction on behavioral intention. Additionally, this study found that satisfaction partially mediates the aforementioned relationships and that stadium atmosphere moderates these pathways.

This study contributes to the literature by addressing the impact of food service quality on outcome variables within sports marketing, an area that has received limited attention. Specifically, it examines how food quality and timeliness influence consumer satisfaction and behavioral intention. Furthermore, the study highlights the moderating role of stadium atmosphere, demonstrating its potential to enhance the relationship between food quality and consumer outcomes. These findings expand our understanding of consumer behavior in sports settings, offering practical strategies for team officials to enhance fan experiences. By diversifying menu options, optimizing concession operations, and collaborating with local vendors, team officials can significantly improve food service quality and create a more engaging stadium atmosphere.

The purpose of this study is to investigate how the different generations of consumers behave in the field of healthy and quality food consumption, considering their perceptions about healthy attributes and healthy eating style, what are the main trusted sources influencing consumption or the attention towards healthy and quality food, how do they behave towards healthy and quality foods and which benefits and barriers affect their consumption.

Data for this study were obtained from a questionnaire survey carried out over a six-month period in 2021. The questionnaire was administered online. The sampling procedure was based on a convenient non-random sampling method applied to the Italian population aged between 18 and 75 years old. The data collection process resulted in 1,646 completed questionnaires.

The results show that, in line with the theory of generational cohorts, each generation has its own specificities regarding food behaviour. The study reveals a highly sensitive approach towards healthy and quality food consumption from both Z-ers and the Baby Boomers, whilst X-ers are quite aligned with the other generations. Millennials show specific, sometimes contradictory, attitudes and habits.

The present results offer new insights into the analysis of healthy and quality food consumption, highlighting significant differences amongst generations, which can inspire public and private intervention aimed at encouraging the overall attention and consumption of healthy and quality food with related implications in terms of society's well-being and longevity improvements.

This article investigates the impact of the COVID-19 pandemic on the consumer preference for the attributes of online food delivery (OFD) services in India. It also shows how the order size influences the consumer's willingness to pay (WTP) for the attributes of OFD services.

This work incorporates a conjoint analysis-based approach to determine the consumer preference for the attributes of OFDs such as price, delivery time, restaurant rating and packing quality during the COVID-19 pandemic. The fractional factorial design is applied for the data collection. The relative importance of the attributes and the part-worth utility of the attributes' levels have been determined. Further, the utility associated with the attributes' levels is used to find the consumer's WTP for different attributes.

The COVID-19 pandemic has changed consumer preference from price to food and packing quality in India. When the order is small, consumers exhibit a higher preference to the delivery time than packing quality. In contrast, consumers show a higher preference to packing quality than delivery time with the increase in order size. The consumer's WTP attains the highest level in case of food quality, followed by convenience and packing quality. The WTP for the attributes rises with the increase in order size.

The insights highlight the need for the online food delivery industry to redesign the business framework in the post-pandemic era. The hygiene and safety measures maintained by the consumers during the pandemic have significantly changed their purchasing behaviour, raising their preference for service quality (food and packing quality) of the OFD services apart from price.

This work determines the consumers' utility for each attribute level of OFDs, along with their relative importance. Moreover, this study contributes to the existing literature by exhibiting the impact of the COVID-19 pandemic on the consumer preference and order size on consumer's WTP for the attributes.

The purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.

This study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.

The findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.

Process mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.

This study aims to explore the interrelationships among quality and safety metrics within the Global Food Security Index (GFSI). Its primary objective is to identify key indicators and their respective influences on food security outcomes, thereby enriching comprehension of the intricate dynamics within global food security.

The analysis encompasses data from 113 countries for the year 2022, utilizing Bayesian Belief Network (BBN) models to identify significant drivers of both the GFSI and quality and safety dimensions. This methodological approach enables the examination of probabilistic connections among different indicators, providing a structured framework for investigating the complex dynamics of food security.

The study highlights the critical role of regulatory frameworks, access to clean drinking water, and food safety mechanisms in fostering food security. Key findings reveal that “nutrition monitoring and surveillance” has the highest probability (75%) of achieving a high-performance state, whereas “national dietary guidelines” have the highest probability (41%) of achieving a low-performance state. High GFSI performance is associated with excelling in indicators such as “access to drinking water” and “food safety mechanisms”, while low performance is linked to underperformance in “national dietary guidelines” and “nutrition labeling”. “Protein quality” and “dietary diversity” are identified as the most critical indicators affecting both the GFSI and quality and safety dimensions.

This research operationalizes a probabilistic technique to analyze the interdependencies among quality and safety indicators within the GFSI. By uncovering the probabilistic connections between these indicators, the study enhances understanding of the underlying dynamics that influence food security outcomes. The findings highlight the critical roles of regulatory frameworks, access to clean drinking water, and food safety mechanisms, offering actionable insights that empower policymakers to make evidence-based decisions and allocate resources effectively. Ultimately, this research significantly contributes to the advancement of food security interventions and the achievement of sustainable development goals related to food quality and safety.

The purpose of this study is to apprise mobile loyalty to halal food purchasing, including food quality, mobile quality, perceived value and satisfaction as its causes, and analyze the halal trust and health risk moderating role on the connections between mobile loyalty and its determinants.

A total of 307 responses from millennial Muslims were collected from the Bandung region of Indonesia via an online survey. Partial least squares modeling was applied to review the proposed mobile loyalty model.

This research found that the mobile loyalty model integrating halal food quality, mobile service quality, perceived value and satisfaction has satisfactory goodness of fit. The research confirms the function of mobile service quality but not halal food quality as drivers of mobile loyalty. Next, this study suggests that halal trust and health risks do not moderate the association between mobile loyalty and its determinants.

This study recommends that managers devote resources to upgrading the quality of their mobile apps to build loyalty. Offering high-quality halal food is also an important driver of millennial Muslim satisfaction.

To the best of the authors’ knowledge, this research is the first to investigate mobile loyalty in halal food.

This research delineates the interdependencies between e-service quality (e-SQ), product quality (PQ) and food biosafety measures (FBM) in shaping consumer satisfaction and loyalty within the online food delivery services (OFDS) landscape. Anchored by the technology acceptance model (TAM) and the theory of planned behavior (TPB), the study integrates these frameworks to examine how perceived service efficiency, reliability, product appeal and biosafety protocols contribute to overall consumer trust and repurchase intentions.

Surveys were conducted on several 100 online food delivery app users, ages 20 to 64, in major cities in Colombia, which provided data for structural equation modeling analysis.

The analysis revealed that reliable, responsive service and appealing food presentation significantly influence consumer perceptions of behind-the-scenes safety protocols during delivery. Strict standards around mitigating contamination risks and verifiable handling at each point further engender trust in the platform and intentions to repurchase among users. The data cement proper food security as pivotal for customer retention.

Quantitatively confirming biosafety’s rising centrality provides an impetus for platforms to integrate and promote integrity, safety and traceability protection as a competitive differentiator.

The study’s originality lies in its comprehensive exploration of the OFDS quality attributes and their direct impact on consumer loyalty. Besides, it offers valuable insights for both academic and practical implications in enhancing service delivery and marketing strategies.

Although there is a rising demand for organic food restaurants (OFRs), limited studies have attempted at understanding the drivers of customers' intention to visit OFRs. There is also a need to examine customers' choice behaviour in the context of OFRs.

This study has assessed the effect of consumption values (functional, emotional, epistemic, conditional, quality and social) on the intention to visit OFRs by utilizing 1863 online customer reviews about different Indian OFRs (Study 1) and 205 survey-based responses of Indian customers (Study 2).

Findings show an overall positive sentiment towards OFRs. Results of Study 1 and Study 2 reveal that functional, quality, social and emotional values have a significant impact on customers' OFR visit intention. Interestingly, Study 2 found that epistemic values have an insignificant impact on customers' visit intention.

Study findings suggest that the OFR management need to provide a better ambience, and good quality organic food in OFRs. Additionally, managers of OFRs can train their staff to be well mannered, cooperative and sincere.

The study on OFRs is still in its nascent stage. The findings of this study will thus provide academicians and policy makers an idea of the consumption values that affect customers' intention to visit OFRs.

This paper aims to address the imperative of establishing adaptive sustainable supply chain management (SSCM) within the context of export food supply chains (EFSC) in Jordan, with potential global applicability. The research introduces a new conceptual framework validated through the analytic hierarchy process (AHP), prioritizing critical factors based on five expert opinions. The practical and managerial outcomes emphasize achieving sustainable supply chain performance through quality-driven sustainability (QDS), encapsulated in a practical framework (SSCQM). Employing the concept of QDS, this study aims to develop a novel decision framework for Sustainable Supply Chain Quality Management (SSCQM).

Conducted as an empirical qualitative study in Jordan, the research employs a systematic literature review to identify research gaps and establish the initial conceptual framework. A pilot case is subsequently conducted to refine the framework, followed by Case Studies of four Triads, elucidating network relationships between suppliers, manufacturers and customers. A total of 32 semi-structured interviews, complemented by observations, tours and document analysis, individually explored each case during the exploratory stage. Cross-analysis of the four cases at the explanatory stage provides empirical insights, and data triangulation, literature review and validation using NVivo enhance the robustness of the findings.

The amalgamation of the three perspectives, when treated individually, results in the integrated category of QDS influencing sustainability (SUST) performance, evident in economic, environmental and social dimensions. Various sustainable initiatives have emerged through the relationships within the Triad, comprising a company, supplier and customer in the supply chain and its broader environment, including society, aiming for enhanced sustainable development and SUST performance. Recognizing the urgency of Supply Chain Management (SCM) in the Middle East, where global supply chains are susceptible to disruptions leading to food shortages and insecurity, this research investigates the state of EFSC in the export food industry in Jordan. The novel decision (SSCQM) framework equips managers and policymakers with knowledge and practices applicable to focal actors in Triads within their EFSCs, particularly in developing countries, thereby contributing to enhancing the export food industry’s sustainability.

This research provides empirical and contextual justifications for the supply chain-quality model (SSCQM) that advocates for business organizations how a desirable, sizeable and significant outcome/shock can be triggered via embedding quality elements in an international supply chain specifically in Jordan. The research also offers significant implications for practising supply chain experts in terms of how they can effectively utilize the supply chain quality to align other players in the supply chain, revenue potential, customer retainability and employee retention to achieve superior organizational performance. The research selectively encompasses three key perspectives of supply chain networks (SCN), total quality management (TQM) and SUST to elucidate the essence of SCM.

This research contributes towards filling the gap as a lack of empirical research.