- 1School of Economics, Yunnan University, Kunming, China
- 2Division of Management and Administrative Sciences, UE Business School, University of Education, Lahore, Pakistan
Introduction/Purpose: Drawing on dynamic capabilities theory, this study offers a comprehensive framework for examining the relationships between organic food supply chain traceability, consumer wellbeing, and food safety trust based in organic food sector. The study also explores how consumer awareness of organic food influences the relationship between consumer wellbeing and food safety. We also look at a mediated moderation mechanism in the relationships stated earlier.
Methods: Using a survey as the primary data collecting method, a total of 221 usable responses were collected. To test the hypothesized relationships between all variables, SPSS PROCESS Macro 3.3 is utilized.
Results: The findings show that the organic food traceability OFSC affect food safety trust and food safety and consumer wellbeing are positively associated, while consumer awareness of organic food acts as a moderator on the relationship between food safety trust and consumer wellbeing. Also consumer awareness conditionally influences the strength of the indirect relationship between OFST and consumer wellbeing via food safety, thereby indicates a mediated moderation mechanism among the study variables.
Discussion/Implications: This study clarifies how consumer food safety trust and organic food traceability can enhance their wellbeing. It contributes to the theory of dynamic capabilities as well as organic traceable product marketing strategies.
Introduction
China a sizable agricultural nation with ideal climate conditions and a wealth of species resources has significant production advantages for organic products. Based on data from China’s National Bureau of Statistics (Sun et al., 2019), 995.03 million tons of organic and agricultural goods were produced in 2019, making up 54.48% of all agricultural output (1826.55 million tons). Green, healthful, and nutrient-dense are the features of organic products (Francois et al., 2020), which people like very much. However, due to the limited storage period and low storage temperature requirements for a number of organic products, food safety accidents are quite likely to happen (Hu et al., 2013).
Organic and veggie agricultural products have experienced a rise in domestic and international safety incidents recently. Such as the China “poisonous ginger” incident (Li et al., 2020), Listeria contamination of “Hami melon” in the United States (Desai et al., 2019), and the Escherichia coli outbreak in Germany (Luber, 2014), which have seriously damaged the majority of people’s health. As a result, the state places a high value on the ability to track the food supply chain, and nations have strengthened traceability management by passing pertinent laws and regulations. The 2002 General Food Law that the European Union adopted Coppens et al. (2006) specifies that in order to recall products promptly and accurately and to provide information to customers, a thorough traceability system must be implemented in the food business. China’s Food Safety Law, which was put into effect in 2009 (Jintao, 2012), which states that in order to assure food traceability, food producers and operators should set up a food safety traceability system. All food and food-related businesses now face the problem of being “traceable,” and the traceability system has developed into a useful tool for quality control in the supply chain for organic products (Aung and Chang, 2014; Yang et al., 2014; Zhang et al., 2019). When purchasing organic food, consumers have high standards for its quality and depend on certification agencies to both confirm this quality and offer details about the items’ sourcing. However, there are a number of drawbacks with organic food traceability, including issues with organic labeling, certification fraud, and worries about the transparency of food information. There is currently demand on the global food supply chain to give information on environmental effect, food fraud, quality, and safety (Underwood et al., 2013). Consumer demand for high-quality food with safety concerns has risen as a result of several food crises that have occurred in recent years (Schleenbecker and Hamm, 2013). Furthermore, the globalization of the food ecosystem has resulted in an increase in the distances that food travels from producer to consumer (“Farm to Fork”; Lehtinen, 2017). Consumers are paying particular attention to the transparency of the food supply chain for a variety of reasons, including dietary concerns over food ingredients as well as social and environmental issues involved in the production of products (Mangla et al., 2021; Rasool et al., 2021). Previous research has suggested that a lack of government regulation, knowledge asymmetry among stakeholders, and manufacturing management incompetence are all variables that contribute to food safety mishaps (Kendall et al., 2019). Therefore, it is crucial to give consumers more useful information about food in order to regain their trust and faith (Zhang et al., 2020). In the organic food supply chain, knowing a food origin is extremely crucial because it might reveal the usage of pesticides, genetically modified organisms, safety risks, and environmental or carbon impact.
By default, consumers are an essential link in any supply chain (SC). Various supply chain definitions state (Chopra and Meindl, 2007) that most importantly, the entire supply chain should serve the consumer, who is the end-user of the good or service produced and delivered via the supply chain. This is in accordance with the supply chain management idea. Consumers today place a high priority on food safety, wanting high-quality food with clear information and assurances of its safety (Aung and Chang, 2014). From the standpoint of the consumer, food traceability systems can lessen information asymmetry, establish safety governance across regional boundaries, and assist in fostering greater confidence in food safety to provide greater consumer wellbeing and satisfaction (Wang et al., 2021). Consumer confidence in the food chain is boosted through traceability and safety, which also contribute to trust-building, assurance, and peace of mind. A traceability system’s implementation and benefits depend on how concerned customers are about food safety; therefore there is a growing need for systems that give clear details about the quality and security of food supply chains. When food traceability is applied across the whole supply chain and involves all relevant parties, it has the potential to yield the highest benefits (Zhu, 2017). As a result, there is a conceptual connection between the traceability of organic food, food safety, and consumer wellbeing. We consider general traceability procedures to be crucial aspects of an organization’s resource management (Garcia-Torres et al., 2021), and their favorable effect on consumers is probably a result of the improvement of food safety regulations. Thus, the association between traceability methods and consumer wellbeing may be mediated by improvements in organic food safety standards.
It is insufficient to simply link traceability practices to favorable results. Examining potential moderators in the link between these constructs has been recommended by researchers (Chang et al., 2016; Irfan et al., 2019). Organic food safety and awareness toward organic food are strongly related. The term “awareness” toward organic foods refers to the understanding and exploration of the traits and qualities that set them apart from their conventional equivalents (freshness, safety, certification, labeling, nutritious, etc.; Ghali, 2019; Le-Anh and Nguyen-To, 2020). The impact of food safety role on consumer wellbeing may also be affected by level of awareness toward organic food (Nguyen et al., 2019). In other words, if the company wants to expand the positive effects of its traceability processes, it could need consumer awareness that can strengthen these relationships. Therefore, when discussing the relationship among traceability practices, food safety concerns, and consumer wellbeing, this paper intends to further analyze the moderating effect of awareness toward organic food on the aforementioned constructs, which is important for understanding the boundaries of the traceability practices. Prior work primarily focused on how to build traceability systems or consumers’ preferences for traceability with specific product supply chains, but rarely addressed the results of applying traceability techniques (Hastig and Sodhi, 2020; Tan et al., 2021; Qian et al., 2022). Furthermore, marketers should give consumers a good reason to choose or buy their products (Berger, 2019), for instance, by increasing perceived value (Iqbal et al., 2021). To better understand consumer expectations regarding organic food supply chain traceability practices, it is therefore essential to understand the safety trust of organic food traceability. Therefore such understanding helps producers and marketers of traceable organic foods develop more informed marketing strategies (Cavite et al., 2021). Going beyond economic impacts to address customer happiness and social value of traceability, this research seeks to investigate how supply chain firms employ traceability technologies to increase consumer consumption values, often results consumer wellbeing.
We address a number of research gaps in this study. In the first place, we add to the scant literature on the direct role of traceability in enhancing customer wellbeing. Second, the role of trust in food safety as a mediator in this relationship is still largely unknown; this study is the first empirical one to look at the potential indirect impact of trust in food safety on the relationship between traceability procedures and consumer wellbeing. Finally, this study looks more closely at the contextual factors that contribute to the link between traceability practices and consumer wellbeing and confirms that high consumer awareness of organic food with food safety trust, has a stronger impact on consumer wellbeing.
Literature review and hypothesis development
The present study’s theoretical framework draws on theory of dynamic capabilities. The theory of dynamic capabilities states that companies with high dynamic capabilities are better able to recognize emerging market possibilities and combine knowledge resources across many technical domains, ultimately triggering organizational performance improvement activities (O’Reilly III and Tushman, 2008; Beske et al., 2014). It has been suggested that employing sustainability practices enables businesses to keep a handle on and track the food supply chain, as well as implement capabilities to gain a competitive edge and satisfy customer demands. Thus, we consider traceability procedures to be crucial forms of resource management for enterprises (Engelseth et al., 2014), and firm’s potential performance, i.e., customer satisfaction and wellbeing, are most likely due to the enhancement of the organization’s capabilities, i.e., in the form of enhanced organic food safety standards.
Relationship between organic food supply chain traceability, food safety, and consumer wellbeing
Traceability is the ability to trace and track the history, application, or location of that which is being considered through all stages, including production, processing, and distribution. Traceability was first proposed as a goal of quality management and quality assurance in the ISO 8402 1994 standard (Olsen and Borit, 2013; Centobelli et al., 2018). Traceability is now crucial in order to strengthen the gaps in firm procedures (Dandage et al., 2017), a distinctive asset that gives a company a competitive edge (Epelbaum and Martinez, 2014), and knowledge sources with a focus on value (Engelseth et al., 2014) for a firm. Additionally, several studies show that processes like vertical integration and process reengineering benefit from traceability (Thompson et al., 2005). As a result, we characterize the FSC’s traceability practice as a component of input (supplier), process (FC), and output (consumer) traceability. The process of gathering and tracking data between the FC and its major suppliers is known as input traceability. Process traceability refers to the centralized administration and coordination functions of the Traceability System as well as the traceability procedures associated with FC processes. The activity of gathering and tracking data, including customer needs and market trends frequently related to the quality and origins of food products, is known as output traceability.
Implementing such OFSC procedures enables businesses to adapt to changing consumer preferences, lifestyles, and brand loyalty for organic food products (Matzembacher et al., 2018) and additionally reduces supply chain costs and risk, assuring safe and healthy consumption (Angulo and Gil, 2007). A customer-driven approach is a claim made by every business. However, the multiple value-chain actors, both internal and external, such as suppliers, merchants, and R&D managers, perceive their customers’ needs differently, which causes loss of focus. Therefore, there is a need for frameworks and more research that may assist organic food businesses in creating customer happiness and wellbeing-focused marketing plans (Simons, 2014). Another type of customer-driven supply chain method is product modularity and consumer-driven customization. Earlier research indicated that businesses may effectively tell consumers about safe food by influencing their awareness of the system’s traceability and attitudes, which in turn affects their willingness to pay (Dionysis et al., 2022). According to research on the linkages between sustainability, operations, and marketing, increased customer satisfaction may result from food traceability and configurations that increase demand. They also examine a link between modularity and environmentally friendly products, which could improve sustainable consumption (Ülkü and Hsuan, 2017). Based on these arguments, we developed the following hypothesis:
H1: Organic food supply chain (OFSC) is positively related to consumer wellbeing.
Food safety is the level of assurance that a food product will not result in illness or harm while being made, served, or consumed (Matzembacher et al., 2018). Information asymmetry is one of the issues that affect food safety from an economic perspective. Of course, in the absence of good traceability, suppliers frequently engage in opportunistic behavior to take advantage of information asymmetries with customers (Srivastava and Dashora, 2022). FSC traceability, investors, and local administration entities must work closely together to reduce safety hazards. In a broader sense, achieving food safety requires commitment from management and decision-makers on matters of food safety, collaboration and partnership between local governments, shareholders, and nations, allocation of enough capital, and accountability from all interested parties (Uddin et al., 2020). According to Liu et al. (2019) and Garaus and Treiblmaier (2021) consumer perceptions of food safety uncertainty are lowered by product diagnosticity (i.e., the extent to which traceability systems enable consumers to precisely evaluate product attributes, including safety), as well as consumer trust in food supply chain traceability. In this study, we infer that in organic food supply chain traceability system, product factors primarily include traceable food safety, emotional factors primarily include consumers’ perceptions of traceable food reliability, and cognitive factors primarily include consumers’ perceptions of information quality and product diagnosticity. OFSC traceability has emerged as a key tool for producers to show consumers the quality of their organic products (Yin et al., 2016). Based on these arguments we developed the following hypothesis:
H2: Organic food supply chain (OFSC) traceability is positively related to organic food safety.
The problem of food safety, quality, and environmental protection, as well as the market’s globalization, have all contributed to a dramatic increase in consumer demand for food traceability during the past 10 years (Yu and Qiao, 2017). Food safety problems seriously endanger customer confidence, human health, food firm earnings, the growth of food industry, and even the reputation of the country abroad (Yu and Qiao, 2017). It should not be surprised that several earlier studies revealed that customers saw buying organic food as a risky concern given consumer concerns about the reliability of organic food (Ashraf et al., 2018; Hsu et al., 2018). As a result, consumer perceptions about the trustworthiness of organic food should be expected to influence their purchasing decisions. Transparency in the food industry promotes consumer confidence, ensures food safety, and encourages them to purchase reliable goods (Zhao et al., 2015; Galvez et al., 2018). Because of investment in their brand identities, food chains and marketers naturally want to safeguard them. They should therefore design and enforce the controls that guarantee their products do, in fact, live up to consumer expectations for quality and safety. Also, organic food consumption has a lower environmental impact, thus prominently contributing to consumer psychological wellbeing (Manning et al., 2019). Consumers want openness and effective accountability in the procedures for ensuring the safety of their food in order to understand the sources and methods used from the farm to fork and ultimately boost their faith in wellbeing. Therefore we propose that:
H3: Food safety is positively related to consumer wellbeing.
Mediating role of food safety
Organizational knowledge resources and the process of organizational learning and sharing are the foundations for changes and advancements of food safety procedures. The major components of traceability procedures include enhancing traceability resources and encouraging the sharing of product information. Epelbaum and Martinez (2014) and Feil et al. (2020) showed that once traceability techniques are transformed into advantages in resources and capabilities, i.e., enhanced safety standards, such capabilities can fuel performance increase. Liu et al. (2013) point out that “customers are not consuming items, but value,” demonstrating that consumers’ judgment of their value prior to purchasing products is a key prerequisite for the occurrence of this consumer behavior. Because of this, organic food chains must develop their distinctive capabilities that go above and beyond their safety criteria in order to achieve an overall performance outcome, for example in terms of consumer wellbeing (Esteki et al., 2019). The more social capital businesses possess and the more resources they can access, the more long-lasting advantages they can create and the more successfully they will operate (Wilden and Gudergan, 2015; Cappa et al., 2021). Therefore, this study suggests that the impact of traceability practices on consumer wellbeing is likely to be mediated through the food safety capabilities. Therefore, we propose the following hypotheses:
H4: Food safety mediates the relationship between food supply chain traceability and consumer wellbeing.
Moderating role of awareness toward organic food
The term “awareness” toward organic foods refers to the understanding and exploration of the traits and qualities that set them apart from their conventional counterparts (freshness, safety, certification, labeling, nutritious, etc.; Ghali, 2019; Song and Morgan, 2019; Le-Anh and Nguyen-To, 2020). In the context of supply chain traceability, consumer awareness of organic food products can strengthen the positive impact of food safety on consumer wellbeing. Based on dynamic capabilities theory, Firms with strict organic food safety standards are better able to adapt to changes in customer product demands and the direction of technological progress in an environment that is highly volatile (Charan and Panghal, 2018; Matzembacher et al., 2018; Zhou et al., 2022). Contrarily, in a technologically stable environment, customer demands and technological advancements are more consistent, consumers have fewer demands regarding product safety, and organizations do not require highly dynamic capabilities to raise consumer awareness of organic food (Makkonen et al., 2014). The degree of consumer awareness of organic foods may also have an impact on how food safety affects consumer wellbeing. In other words, the deeper the consumer’s awareness of the benefits of organic food products, the greater level of consumer wellbeing anticipated due to enhanced food safety standards. Therefore we proposed that:
H5: Awareness toward organic food moderates the relationship between the food safety and consumer wellbeing such that the relationship is stronger when consumers have high level of awareness toward organic food products.
Since we hypothesize that consumer awareness moderates the relationship between food safety and consumer wellbeing, the consumer awareness might conditionally influence the strength of the indirect relationship between OFST and consumer wellbeing via food safety, thereby indicating a mediated-moderation configuration between the study’s variables. As depicted in Figure 1, organic food supply chain traceability as an independent variable has been proposed to have a positive effect on consumer wellbeing through food safety trust, while awareness of organic food moderates the positive relationship of food safety trust and consumer wellbeing.
H6: Consumer awareness moderates the association among OFST and consumer wellbeing via food safety in such a way that the association will be higher in the case of high consumer awareness.
Materials and methods
A standardized questionnaire that was distributed as a survey was used for the investigation. Data were gathered in many locations and at different stages in order to prevent favoring any particular set of respondents. The research team asked professionals and academics with relevant backgrounds to change the questionnaire’s wording. The study team conducted the investigation in collaboration with the local Chinese Bureaus of Commerce. Using purposive sampling The Bureaus of Commerce had a database of Xian, Shenzhen, Chengdu, and Shandong organic food firms. To increase the sample’s representativeness, we chose businesses from various areas. Regarding ownership, sample companies include state-owned enterprises, private enterprises, and enterprises with foreign investment. There were 95 companies chosen in all, and these four regions were chosen because of their extensive expertise with FSC traceability techniques and applications.
Two phases of the surveys were completed. In the initial study, 450 questionnaires were given out to assess traceability procedures and pertinent organizational demographics. Middle and senior managers responded to the traceability practices questionnaire that was given to the management in these companies. Four hundred and thirty-nine survey responses were received. Consumers who often buy organic food from these chosen firms were emailed surveys evaluating food safety trust, consumer awareness of organic food, and consumer wellbeing. In this phase, 259 responses were received, and after removing incomplete responses, 221 usable surveys were found, yielding a response rate of 49%.
Measures
OFST was measured using 15-item scale developed by (Abd Rahman et al., 2017; Song and Morgan, 2019), which included statements such as “We share the inventory level and production plan of food raw material. Food safety trust was measured using a ten-item scale developed by Medeiros et al. (2004) which included statements such as “I am worried that I may get sick if I eat hot dogs right out of the package.” Consumer awareness of organic food was assessed using a two-item scale derived from Asif et al. (2018) which included statements like “Do you know what an organic food is?” We used 5 items to measure the consumer wellbeing from Rudd et al. (2012), which included statements like “In most ways, my life is close to my ideal.”
We employed statistical remedies in order to mitigate the potential effects of common method bias (CMB). The findings of the Harman’s one-factor test showed that all of the items could be separated into four constructs based on the criterion of eigenvalues larger than 1. The first component accounted for 44.80% of the variation, and all of them together explained 69.41% of it. The data was therefore suitable for further investigation.
Results
To assess the concept reliability, we use confirmatory factor analysis (CFA). According to Table 1, every Cronbach’s alpha and composite reliability score is more than 0.7. The validity of the content, convergent, and discriminant measures was also examined. Content validity is supported by the fact that all the items were taken from earlier studies and only minor revisions were made for the research situation. Using factor loadings, composite validity, and average variance extracted (AVE). Convergent validity was evaluated AVEs vary from 0.63 to 0.83 (Table 1), and all of the factor loadings and composite reliability values are close to or higher than the benchmarks, showing robust convergent validity. We then evaluated the discriminant validity of each scale’s primary construct and measurement items. Table 2 demonstrates that for each construct, the square root of the AVE is greater than the correlation coefficient between any two variables, ensuring the discriminant validity (Fornell and Larcker, 1981).
Hypotheses testing
Table 3 lists each variable’s mean, standard deviation, and correlation coefficient. There is a substantial positive relationship between organic food supply chain traceability (OFSC) and food safety (r = 0.62, p < 0.01), organic food supply chain traceability (OFSC) and consumer wellbeing (r = 0.59, p < 0.01), and food safety trust and consumer wellbeing (r = 0.47, p < 0.01). Additionally, there is a strong positive association (r = 0.35, p = 0.01) between consumer wellbeing and consumer awareness of organic food. The study hypothesis is supported by the correlation of key constructs, which offers substantial support for the hypotheses’ validity.
After examining the validity of our research model, all proposed hypotheses were evaluated. The results proposed that OFSC has a significant positive relationship with consumer wellbeing (B = 0.44, t = 7.17, p < 0.001) with food safety (B = 0.62, t = 11.65, p < 0.001). The results also stated food safety relationship with consumer wellbeing (B = 0.15, t = 2.44, p < 0.001). These findings support our H1, H2, and H3. We followed a two-step method as proposed by Preacher et al. (2007), to test H4 of a mediation role of food safety between OFSC and consumer wellbeing. The results confirmed (Table 4) that the OFSC and consumer wellbeing (B = 0.09; p < 0.05) are significant via the mediation of food safety. Therefore, H4 was also supported.
According to Hayes and Scharkow, the mediated-moderation effects were tested using the SPSS PROCESS Macro 3.3. The Bootstrapping method was used to analyze the mediated moderating effects (Figure 2). In order to create a generally stable sample combination distribution and accurately assess the sample’s general characteristics, Bootstrap employs the repeated sampling method with the return. There are 5000 Bootstrap samples total, and the confidence interval is set to 95%. The results indicated (Table 5) that the interaction between food safety and consumer awareness had a 0.12 impact on consumer wellbeing, with a confidence range of (0.06, 0.16), which excluded 0. Hence H5 was further verified.
Table 5 shows that when consumer awareness was stronger, the indirect impact was weaker and insignificant (conditional indirect effect = 0.03, 95 percent CI = [−0.09, 0.16]), but when consumer awareness was lower, the indirect effect was stronger (conditional indirect effect = 0.23, 95%CI = [0.10, 0.39]). Consequently, these findings supported H6.
Discussion
Our findings provide empirical support in line with Kamble et al. (2020) that incorporating traceability in the FSC can result in consumer satisfaction and that traceability has a good impact on food safety and social sustainability to support the conclusions of Yuan et al. (2020). Additionally, we emphasize those traceability procedures for organic food will enhance consumer wellbeing, which supports the conclusions of Yuan et al. (2020) that traceability can be a useful approach for positively influencing consumers’ perceptions of value. The supply chain stakeholders in our Chinese setting think that adopting a traceability system will raise their customers’ trust and help them improve their customers’ perceptions of the nutritional value, safety, and quality of their organic food items. In recent years, traceability has grown in significance as a research area. This growing research focus has been greatly influenced by the demand for trust and safety, particularly in the organic food traceability, as well as recent assessments of new technologies that are expected to have a considerable impact on traceability practices. As stated in the research question, the purpose of this study was to provide a comprehensive overview of the impact of traceability systems as they pertain to identify the literature and elaborate on the connection between traceability and outcomes. The analytical methodology was adopted from Zhou et al. (2022) and concentrated on organic food products because Zhou et al. (2022) discovered a substantial effect in the food supply chain category in their study. Our findings validate the framework’s effectiveness in a Chinese consumption setting and demonstrate that this analytical methodology is applicable to the category of organic food products. Thus, this study provides a crucial cross-cultural examination of the analytical framework proposed by De Jonge et al. (2008).
This study supports the finding that there is a mediatory mechanism between food supply chain traceability practices and customer wellbeing, which support the findings of Zhou et al. (2022). We choose food safety as a mediator and integrate the theory of dynamic capabilities into the theoretical framework to examine the relationship between organic FSC traceability and consumer wellbeing. This study has shown that organic FSC traceability procedures can increase food safety, which somewhat corroborates the findings of Charan and Panghal (2018) and Aung and Chang (2014), that the traceable assurance can amplify long-term safety concerns, increasing consumer desire due to confidence in food safety. Our findings also suggest that the impact of organic FSC traceability methods on consumer wellbeing is influenced indirectly by improved food safety regulations. Food safety, as a powerful technique of transferring business resources into positive outcomes, explains the mechanisms that link organic FSC traceability practices to consumer wellbeing. Traceability implementation issues can be classified as intra-firm, inter-firm, technical, or external. This study also highlighted that the benefits of implementing traceability may be preceded by a large rise in short-term operating costs as well as inter-firm relationship friction. Financial constraints are a significant barrier to the implementation of traceability systems, and they can manifest themselves in various ways at various stages of traceability implementation, such as the cost of technology (hardware and software); the cost of staff training; and the legal costs associated with information accessibility. This study’s sample companies are from the early benchmarking companies in China that applied organic FSC traceability standards. As a result, their traceable practices can directly influence consumer wellbeing while indirectly promoting a long-term customer base through food safety trust.
The study’s analysis of the function and influence of consumer awareness of organic food on food safety is another important contribution. This empirical finding also addresses the ongoing discussion regarding whether consumer knowledge of traceability and awareness of organic food could lead to such relationships (Hong et al., 2020; Cavite et al., 2021). The empirical research in this paper supports this position by demonstrating that the relationship between food safety trust and consumer wellbeing can be moderated by consumers’ awareness of organic food. Our results reveal that, when individuals are more aware of organic food, food safety has a greater impact on consumer wellbeing. In other words, increased awareness of organic food may result in greater food safety regulations. Firms may take an active role in traceability because they are aware of how customer needs change (Wowak et al., 2016). This study discovered that traceability techniques promote the firm’s food safety concerns, consequently improving consumer wellbeing. Firms should actively promote their safety standards to reap long-term benefits as an intermediary mechanism that partially turns traceable practices into consumer happiness and wellbeing. The present study examines the contingency effect of organic food awareness and improves the interpretation of the process and boundaries of food safety regulations in the setting of China. Furthermore, we contend that there is a connection between food safety and consumer awareness of organic food in the overall effect of organic FSC traceability methods and consumer wellbeing, which may expand the benefits of organic FSC traceability practices.
Theoretical and managerial implications
As consumer-centric research perspectives with positive outcomes based on traceability procedures are still limited (Cousins et al., 2019; Testa et al., 2019). This research investigates the impact of organic FSC traceability procedures on customer wellbeing and its unique mechanism in the context of Chinese enterprises, with theoretical implications for expanding and deepening research in the field of traceability practices. Based on dynamic capacities theory, this study introduces the mediating influence of food safety and the moderating effect of awareness of organic food between organic FSC traceability practices and consumer wellbeing. This article also offers a fresh theoretical perspective for the study of the organic FSC traceability’s impact mechanism. As a final step, this study also explains the internal mechanism by which consumer awareness may conditionally affect the strength of the indirect relationship between OFST and consumer wellbeing through food safety, indicating a mediated-moderation configuration between the study’s variables. This will help academia gain a deeper and more comprehensive understanding of the process of putting traceability practices into practice with such positive results. Managers can focus more on upstream traceability by emphasizing the source security of raw materials and goods, which is a link that downstream companies and consumers value the most. Consumers still do not trust traceable organic foods at this time, mostly due to the frequent occurrence of food safety issues that substantially affect the reputation of businesses and the absence of an efficient communication channel between markets and traceable organic foods (Bei and Jiabao, 2015). In line with Pattnaik et al. (2021) and Centobelli et al. (2022), given the growing emphasis on Agenda 2030 for Sustainable Development, policymakers and governments could persuade firms to use sustainable supply chain management methods in order to reduce environmental pollution and advance societal welfare.
As a result, food production and sales enterprises can actively expand their visibility, such as inviting citizens to visit food origins or food processing firms, to improve citizens’ opinions of the trustworthiness of these firms and traceability systems. Artificial intelligence, for example, might be utilized to develop a food supply chain traceability system for real-time food tracing, providing a secure and transparent information platform for all supply chain stakeholders. As an intermediary mechanism that turns organic FSC traceable practices into customer wellbeing, businesses should proactively improve food safety standards for the promotion of a healthy food sector development.
Limitations and future research directions
Even though this study had a sufficient number of respondents in multiple Chinese cities and with various sorts of businesses, its external validity might still be enhanced. Although the present study is usually representative of China, it is not a comprehensive gauge of national organic FSC consumer issues, and China’s food supply chain and consumer habits are distinctive in a number of ways. Future research can utilize cross-regional and cross-cultural samples to confirm and broaden these findings. It would be advantageous to collect data from other nations in order to determine the effect of traceability methods on the sustainable performance of businesses in varied institutional and cultural contexts. Second, this study’s respondents included senior management and technical personnel from the organization. Future research could benefit from responses from other managerial positions of the company, such as selecting the financial directors to investigate the company’s economic performance and the operations or supply chain manager for more precise measurements of social and environmental performance. Future research in this area should test the hypothesis that the higher the level of alignment of an enterprise’s capabilities with traceability practices, the higher the enterprise’s performance (Centobelli et al., 2018). In addition, longitudinal research including follow-up studies would further show the dynamic characteristics if applied to the suggested model.
Conclusion
As mentioned, earlier studies paid little attention to the assessment of consumer wellbeing in organic food supply chain traceability systems. Based on dynamic capacities theory, this study uses a SEM technique to investigate the impact of OFSC traceability practices on customer wellbeing and examines this link through the mediation of food safety trust and the moderating of consumer awareness of organic food. The findings suggest that OFSC traceability methods have a considerable positive impact on consumer wellbeing, which is also mediated by consumer trust in food safety. Furthermore, consumer awareness of organic food acts as a moderator in the relationship between consumer wellbeing and food safety trust. The greater consumer awareness of organic food, the greater the favorable effects of food safety trust on consumer wellbeing. This study also addresses the research gap by providing an initial empirical examination of the role of consumer awareness conditionally influencing the strength of the indirect relationship between OFST and consumer wellbeing via food safety, thereby indicating a mediated-moderation configuration between the study’s variables. Thus, the present study clarifies how organic food traceability and customer trust in food safety can improve wellbeing. It supports organic traceable product marketing tactics as well as the principle of dynamic capabilities. Producers and marketers of organic traceable foods are given guidelines on how to put sensible plans into place to draw customers in and support the long-term growth of the organic food business.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by Yunnan University, Ethics Approval Committee. The patients/participants provided their written informed consent to participate in this study.
Author contributions
ZG: conceptualization, methodology, software, validation, formal analysis, writing—original draft preparation, visualization, and supervision. MH: project administration, funding and acquisition, investigation, resources, data curation, and writing—review and editing. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by “National Natural Science Foundation of China: Collaborative Governance on Food Safety in China Under the Perspective of Industry Regulation”, Grant No.: 71964038.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Abd Rahman, A., Singhry, H. B., Hanafiah, M. H., and Abdul, M. (2017). Influence of perceived benefits and traceability system on the readiness for halal assurance system implementation among food manufacturers. Food Control 73, 1318–1326. doi: 10.1016/j.foodcont.2016.10.058
Angulo, A. M., and Gil, J. M. (2007). Risk perception and consumer willingness to pay for certified beef in Spain. Food Qual. Prefer. 18, 1106–1117. doi: 10.1016/j.foodqual.2007.05.008
Ashraf, M. A., Joarder, M. H. R., and Ratan, S. R. A. (2018). Consumers’ anti-consumption behavior toward organic food purchase: an analysis using SEM. Br. Food J. 121, 104–122. doi: 10.1108/BFJ-02-2018-0072
Asif, M., Xuhui, W., Nasiri, A., and Ayyub, S. (2018). Determinant factors influencing organic food purchase intention and the moderating role of awareness: a comparative analysis. Food Qual. Prefer. 63, 144–150. doi: 10.1016/j.foodqual.2017.08.006
Aung, M. M., and Chang, Y. S. (2014). Traceability in a food supply chain: safety and quality perspectives. Food Control 39, 172–184. doi: 10.1016/j.foodcont.2013.11.007
Bei, Z., and Jiabao, L. (2015). The paradigm of consuming behavior to traceable sub-tropic fruits under the background of quality safety: the moderating effects of purchase experience. Manag. Rev. 27:176.
Berger, J. (2019). Signaling can increase consumers' willingness to pay for green products. Theoretical model and experimental evidence. J. Consum. Behav. 18, 233–246. doi: 10.1002/cb.1760
Beske, P., Land, A., and Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: a critical analysis of the literature. Int. J. Prod. Econ. 152, 131–143. doi: 10.1016/j.ijpe.2013.12.026
Cappa, F., Oriani, R., Peruffo, E., and Mccarthy, I. (2021). Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance. J. Prod. Innov. Manag. 38, 49–67. doi: 10.1111/jpim.12545
Cavite, H. J., Mankeb, P., and Suwanmaneepong, S. (2021). Community enterprise consumers’ intention to purchase organic rice in Thailand: the moderating role of product traceability knowledge. Br. Food J. 124, 1124–1148. doi: 10.1108/BFJ-02-2021-0148
Centobelli, P., Abbate, S., Nadeem, S. P., and Garza-Reyes, J. A. (2022). Slowing the fast fashion industry: an all-round perspective. Curr. Opin. Green Sustain. Chem. 38:100684. doi: 10.1016/j.cogsc.2022.100684
Centobelli, P., Cerchione, R., and Esposito, E. (2018). How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology. J. Knowl. Manag. 22, 538–566. doi: 10.1108/JKM-10-2016-0456
Chang, W., Ellinger, A. E., Kim, K. K., and Franke, G. R. (2016). Supply chain integration and firm financial performance: a meta-analysis of positional advantage mediation and moderating factors. Eur. Manag. J. 34, 282–295. doi: 10.1016/j.emj.2015.11.008
Charan, S., and Panghal, A. (2018). “Supply chain management. Strategy, planning & operation,” in Das summa summarum des management. Gabler, 265–275.
Chopra, S., and Meindl, P. (2007). “Supply chain management. Strategy, planning & operation,” in Das summa summarum des management. Gabler, 265–275.
Coppens, P., Da Silva, M. F., and Pettman, S. (2006). European regulations on nutraceuticals, dietary supplements and functional foods: a framework based on safety. Toxicology 221, 59–74. doi: 10.1016/j.tox.2005.12.022
Cousins, P. D., Lawson, B., Petersen, K. J., and Fugat, E. B. (2019). Investigating green supply chain management practices and performance: the moderating roles of supply chain ecocentricity and traceability. Int. J. Oper. Prod. Manag. 39, 767–786. doi: 10.1108/IJOPM-11-2018-0676
Dandage, K., Badia-Melis, R., and Ruiz-García, L. (2017). Indian perspective in food traceability: a review. Food Control 71, 217–227. doi: 10.1016/j.foodcont.2016.07.005
De Jonge, J., Van Trijp, H., Goddard, E., and Frewer, L. (2008). Consumer confidence in the safety of food in Canada and the Netherlands: the validation of a generic framework. Food Qual. Prefer. 19, 439–451. doi: 10.1016/j.foodqual.2008.01.002
Desai, A. N., Anyoha, A., Madoff, L. C., and Lassmann, B. (2019). Changing epidemiology of listeria monocytogenes outbreaks, sporadic cases, and recalls globally: a review of ProMED reports from 1996 to 2018. Int. J. Infect. Dis. 84, 48–53. doi: 10.1016/j.ijid.2019.04.021
Dionysis, S., Chesney, T., and Mcauley, D. (2022). Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour. Br. Food J. 124, 4304–4322. doi: 10.1108/BFJ-05-2021-0541
Engelseth, P., Wongthatsanekorn, W., and Charoensiriwath, C. (2014). Food product traceability and customer value. Glob. Bus. Rev. 15, 87S–105S. doi: 10.1177/0972150914550549
Epelbaum, F. M. B., and Martinez, M. G. (2014). The technological evolution of food traceability systems and their impact on firm sustainable performance: a RBV approach. Int. J. Prod. Econ. 150, 215–224. doi: 10.1016/j.ijpe.2014.01.007
Esteki, M., Regueiro, J., and Simal-Gándara, J. (2019). Tackling fraudsters with global strategies to expose fraud in the food chain. Compr. Rev. Food Sci. Food Saf. 18, 425–440. doi: 10.1111/1541-4337.12419
Feil, A. A., Da Silva Cyrne, C. C., Sindelar, F. C. W., Barden, J. E., and Dalmoro, M. (2020). Profiles of sustainable food consumption: consumer behavior toward organic food in southern region of Brazil. J. Clean. Prod. 258:120690. doi: 10.1016/j.jclepro.2020.120690
Fornell, C., and Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Sage Publications Sage CA: Los Angeles, CA.
Francois, G., Fabrice, V., and Didier, M. (2020). Traceability of fruits and vegetables. Phytochemistry 173:112291. doi: 10.1016/j.phytochem.2020.112291
Galvez, J. F., Mejuto, J. C., and Simal-Gandara, J. (2018). Future challenges on the use of blockchain for food traceability analysis. TrAC Trends Anal. Chem. 107, 222–232. doi: 10.1016/j.trac.2018.08.011
Garaus, M., and Treiblmaier, H. (2021). The influence of blockchain-based food traceability on retailer choice: the mediating role of trust. Food Control 129:108082. doi: 10.1016/j.foodcont.2021.108082
Garcia-Torres, S., Rey-Garcia, M., Sáenz, J., and Seuring, S. (2021). Traceability and transparency for sustainable fashion-apparel supply chains. J. Fashion Mark. Manage. 26, 344–364. doi: 10.1108/JFMM-07-2020-0125
Ghali, Z. (2019). Motives of willingness to buy organic food under the moderating role of consumer awareness. Environment 9:10. doi: 10.9734/JSRR/2019/v25i630200
Hastig, G. M., and Sodhi, M. S. (2020). Blockchain for supply chain traceability: business requirements and critical success factors. Prod. Oper. Manag. 29, 935–954. doi: 10.1111/poms.13147
Hong, J., Zhou, Z., Li, X., and Lau, K. H. (2020). Supply chain quality management and firm performance in China's food industry—the moderating role of social co-regulation. Int. J. Logist. Manag. 31, 99–122. doi: 10.1108/IJLM-05-2018-0124
Hsu, S. Y., Chang, C.-C., and Lin, T. T. (2018). Triple bottom line model and food safety in organic food and conventional food in affecting perceived value and purchase intentions. Br. Food J. 121, 333–346. doi: 10.1108/BFJ-07-2017-0403
Hu, J., Zhang, X., Moga, L. M., and Neculita, M. (2013). Modeling and implementation of the vegetable supply chain traceability system. Food Control 30, 341–353. doi: 10.1016/j.foodcont.2012.06.037
Iqbal, J., Yu, D., Zubair, M., Rasheed, M. I., Khizar, H. M. U., and Imran, M. (2021). Health consciousness, food safety concern, and consumer purchase intentions toward organic food: the role of consumer involvement and ecological motives. SAGE Open 11:215824402110157. doi: 10.1177/21582440211015727
Irfan, M., Wang, M., and Akhtar, N. (2019). Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view. Oper. Manag. Res. 12, 113–128. doi: 10.1007/s12063-019-00142-y
Jintao, H. (2012). Food safety law of the People's Republic of China. Chin. Law Gov. 45:10. doi: 10.2753/CLG0009-4609450101
Kamble, S. S., Gunasekaran, A., and Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manag. 52:101967. doi: 10.1016/j.ijinfomgt.2019.05.023
Kendall, H., Clark, B., Rhymer, C., Kuznesof, S., Hajslova, J., Tomaniova, M., et al. (2019). A systematic review of consumer perceptions of food fraud and authenticity: a European perspective. Trends Food Sci. Technol. 94, 79–90. doi: 10.1016/j.tifs.2019.10.005
Le-Anh, T., and Nguyen-To, T. (2020). Consumer purchasing behaviour of organic food in an emerging market. Int. J. Consum. Stud. 44, 563–573. doi: 10.1111/ijcs.12588
Lehtinen, U. (2017). Sustainable supply chain management in Agri-food chains: a competitive factor for food exporters. Sustain. Chall. Agrofood Sec., 150–174. doi: 10.1002/9781119072737.ch7
Li, W., Pires, S. M., Liu, Z., Ma, X., Liang, J., Jiang, Y., et al. (2020). Surveillance of foodborne disease outbreaks in China, 2003–2017. Food Control 118:107359. doi: 10.1016/j.foodcont.2020.107359
Liu, R., Gao, Z., Nayga, R. M., Snell, H. A., and Ma, H. (2019). Consumers’ valuation for food traceability in China: does trust matter? Food Policy 88:101768. doi: 10.1016/j.foodpol.2019.101768
Liu, R., Pieniak, Z., and Verbeke, W. (2013). Consumers' attitudes and behaviour towards safe food in China: a review. Food Control 33, 93–104. doi: 10.1016/j.foodcont.2013.01.051
Luber, P. (2014). “The case of the European escherichia coli outbreak from sprouts,” in Global Safety of Fresh Produce. Woodhead Publishing, 356–366.
Makkonen, H., Pohjola, M., Olkkonen, R., and Koponen, A. (2014). Dynamic capabilities and firm performance in a financial crisis. J. Bus. Res. 67, 2707–2719. doi: 10.1016/j.jbusres.2013.03.020
Mangla, S. K., Börühan, G., Ersoy, P., Kazancoglu, Y., and Song, M. (2021). Impact of information hiding on circular food supply chains in business-to-business context. J. Bus. Res. 135, 1–18. doi: 10.1016/j.jbusres.2021.06.013
Manning, L., Luning, P. A., and Wallace, C. A. (2019). The evolution and cultural framing of food safety management systems—where from and where next? Compr. Rev. Food Sci. Food Saf. 18, 1770–1792. doi: 10.1111/1541-4337.12484
Matzembacher, D. E., Do Carmo Stangherlin, I., Slongo, L. A., and Cataldi, R. (2018). An integration of traceability elements and their impact in consumer's trust. Food Control 92, 420–429. doi: 10.1016/j.foodcont.2018.05.014
Medeiros, L. C., Hillers, V. N., Chen, G., Bergmann, V., Kendall, P., and Schroeder, M. (2004). Design and development of food safety knowledge and attitude scales for consumer food safety education. J. Am. Diet. Assoc. 104, 1671–1677. doi: 10.1016/j.jada.2004.08.030
Nguyen, H. V., Nguyen, N., Nguyen, B. K., Lobo, A., and Vu, P. A. (2019). Organic food purchases in an emerging market: the influence of consumers’ personal factors and green marketing practices of food stores. Int. J. Environ. Res. Public Health 16:1037. doi: 10.3390/ijerph16061037
O’Reilly III, C. A., and Tushman, M. L. (2008). Ambidexterity as a dynamic capability: resolving the innovator's dilemma. Res. Organ. Behav. 28, 185–206. doi: 10.1016/j.riob.2008.06.002
Olsen, P., and Borit, M. (2013). Trends in Food Science & Technology. Trends Food Sci Tech 29, 142–150. doi: 10.1016/j.tifs.2012.10.003
Pattnaik, S., Nayak, M. M., Abbate, S., and Centobelli, P. (2021). Recent trends in sustainable inventory models: a literature review. Sustainability 13:11756. doi: 10.3390/su132111756
Preacher, K. J., Rucker, D. D., Li, X., and Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivar Behav. Res. 42, 185–227.
Qian, J., Dai, B., Wang, B., Zha, Y., and Song, Q. (2022). Traceability in food processing: problems, methods, and performance evaluations—a review. Crit. Rev. Food Sci. Nutr. 62, 679–692. doi: 10.1080/10408398.2020.1825925
Rasool, S., Cerchione, R., Salo, J., Ferraris, A., and Abbate, S. (2021). Measurement of consumer awareness of food waste: construct development with a confirmatory factor analysis. Br. Food J. 123, 337–361. doi: 10.1108/BFJ-02-2021-0160
Rudd, M., Vohs, K. D., and Aaker, J. (2012). Awe expands people’s perception of time, alters decision making, and enhances well-being. Psychol. Sci. 23, 1130–1136. doi: 10.1177/0956797612438731
Schleenbecker, R., and Hamm, U. (2013). Consumers’ perception of organic product characteristics. A review. Appetite 71, 420–429. doi: 10.1016/j.appet.2013.08.020
Song, M.-X., and Morgan, X. Y. (2019). Leveraging core capabilities and environmental dynamism for food traceability and firm performance in a food supply chain: a moderated mediation model. J. Integr. Agric. 18, 1820–1837. doi: 10.1016/S2095-3119(19)62590-6
Srivastava, A., and Dashora, K. (2022). A fuzzy ISM approach for modeling electronic traceability in Agri-food supply chain in India. Ann. Oper. Res. 315, 2115–2133. doi: 10.1007/s10479-021-04072-6
Sun, Y., Hu, R., and Zhang, C. (2019). Does the adoption of complex fertilizers contribute to fertilizer overuse? Evidence from rice production in China. J. Clean. Prod. 219, 677–685. doi: 10.1016/j.jclepro.2019.02.118
Tan, Y., Huang, X., and Li, W. (2021). Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach. Available at SSRN: https://ssrn.com/abstract=4221752 or http://dx.doi.org/10.2139/ssrn.4221752.
Testa, F., Sarti, S., and Frey, M. (2019). Are green consumers really green? Exploring the factors behind the actual consumption of organic food products. Bus. Strateg. Environ. 28, 327–338. doi: 10.1002/bse.2234
Thompson, M., Sylvia, G., and Morrissey, M. T. (2005). Seafood traceability in the United States: current trends, system design, and potential applications. Compr. Rev. Food Sci. Food Saf. 4, 1–7. doi: 10.1111/j.1541-4337.2005.tb00067.x
Uddin, M. N., Alam, B., Islam, S. S., Arif, M., Alam, M. M., and Kabir, S. L. (2020). Impact of COVID-19 on food safety and security in low and middle income countries. Asian J. Med. Biol. Res. 6, 130–137. doi: 10.3329/ajmbr.v6i2.48043
Ülkü, M. A., and Hsuan, J. (2017). Towards sustainable consumption and production: competitive pricing of modular products for green consumers. J. Clean. Prod. 142, 4230–4242. doi: 10.1016/j.jclepro.2016.11.050
Underwood, E., Poláková, J., Kretschmer, B., McConville, A. J., Tucker, G. M. E., Dooley, A., et al. (2013). Interactions between climate change & agriculture and biodiversity & agriculture (Part of the project’ technology options for feeding 10 billion people’).
Wang, H., Zhang, M., Ying, H., and Zhao, X. (2021). The impact of blockchain technology on consumer behavior: a multimethod study. J. Manag. Anal. 8, 371–390. doi: 10.1080/23270012.2021.1958264
Wilden, R., and Gudergan, S. P. (2015). The impact of dynamic capabilities on operational marketing and technological capabilities: investigating the role of environmental turbulence. J. Acad. Mark. Sci. 43, 181–199. doi: 10.1007/s11747-014-0380-y
Wowak, K. D., Craighead, C. W., and Ketchen, D. J. (2016). Tracing bad products in supply chains: the roles of temporality, supply chain permeation, and product information ambiguity. J. Bus. Logist. 37, 132–151. doi: 10.1111/jbl.12125
Yang, X., Qian, J., Sun, C., and Ji, Z. (2014). Key technologies for establishment agricultural products and food quality safety traceability systems. Trans. Chin. Soc. Agric. Machinery 45, 212–222.
Yin, S., Chen, M., Chen, Y., Xu, Y., Zou, Z., and Wang, Y. (2016). Consumer trust in organic milk of different brands: the role of Chinese organic label. Br. Food J. 118, 1769–1782. doi: 10.1108/BFJ-11-2015-0449
Yu, J., and Qiao, J. (2017). Consumer concern about food safety and its impact on their familiarity with food traceability systems in China. J. Int. Food Agribus. Mark. 29, 16–28. doi: 10.1080/08974438.2016.1241733
Yuan, C., Wang, S., and Yu, X. (2020). The impact of food traceability system on consumer perceived value and purchase intention in China. Ind. Manag. Data Syst. 120, 810–824. doi: 10.1108/IMDS-09-2019-0469
Zhang, A., Mankad, A., and Ariyawardana, A. (2020). Establishing confidence in food safety: is traceability a solution in consumers’ eyes? J. Consum. Prot. Food Saf. 15, 99–107. doi: 10.1007/s00003-020-01277-y
Zhang, Y., Wang, W., Yan, L., Glamuzina, B., and Zhang, X. (2019). Development and evaluation of an intelligent traceability system for waterless live fish transportation. Food Control 95, 283–297. doi: 10.1016/j.foodcont.2018.08.018
Zhao, X., Fan, H., Zhu, H., Fu, Z., and Fu, H. (2015). “The design of the internet of things solution for food supply chain,” in 2015 International Conference on Education, Management, Information and Medicine (Atlantis Press), 314–318.
Zhou, X., Pullman, M., and Xu, Z. (2022). The impact of food supply chain traceability on sustainability performance. Oper. Manag. Res. 15, 93–115. doi: 10.1007/s12063-021-00189-w
Keywords: organic food supply chain traceability, food safety trust, consumer wellbeing, consumer awareness of organic food, organic food, dynamic capabilities theory
Citation: Guanqi Z and Husnain M (2022) Assessing the role of organic food supply chain traceability on food safety and consumer wellbeing: A mediated-moderation investigation. Front. Psychol. 13:1073376. doi: 10.3389/fpsyg.2022.1073376
Edited by:
Sajad Rezaei, University of Worcester, United KingdomReviewed by:
Faisal Talib, Aligarh Muslim University, IndiaStefano Abbate, University of Naples Federico II, Italy
Copyright © 2022 Guanqi and Husnain. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mudassir Husnain, mudassir.husnain@ue.edu.pk
†These authors have contributed equally to this work