Food traceability systems, consumers’ risk perception, and purchase intention: Evidence from the “4-label-1-Q” approach in Taiwan

2021 ◽  
Author(s):  
Shu-Chen Hsu ◽  
Yu-Fu Huang ◽  
Trias Mahmudiono ◽  
Hsiu-Ling Chen
Keyword(s):  
Food Safety ◽  
Risk Perception ◽  
Educational Level ◽  
Risk Perceptions ◽  
Purchase Intention ◽  
Age Groups ◽  
Food Labels ◽  
Food Traceability ◽  
Traceability System ◽  
The Future

Many food safety issues have occurred in Taiwan during the past decade. Therefore, in 2016, the Taiwan government proposed the “Five rings of food safety” policy to comprehensively protect consumer food supply. Among these policies, the “4-labels-1-Q” approach was adopted to ensure the selection of “retrospective foods” with traceable labels. Hence, this study investigated the association between the degree of recognizing the “4-label-1-Q” food traceability system and risk perceptions, in addition to whether a consumer’s purchase intention of fresh foods with food labels changed after enlightenment using an educational film on food labels. In this study, the subjects were defined as the family's main food purchasers. Subsequently, 290 valid questionnaire interviews and film educational materials were administered in Tainan markets and stores. Results showed that risk perception for labeling was significantly affected by label knowledge. Alternatively, age, educational level, and the degree of risk perception influenced purchase intention. Results also showed that after administering the video intervention, the label knowledge and purchase intention increased significantly. However, film education after adjustment for age, educational level, income, and purchase places insignificantly affected risk perception, especially for those who had lower educational levels, including those over the age of 65. First, the public’s trust can be boosted through label education among age groups using different channels and methods. Therefore, in the future, encouraging the sale of labeled foods in traditional markets would be a useful strategy. Second, the age, educational level, income, and risk perception of the participants significantly affected the purchase intention. Thus, in the future, this study can be a reference for designing risk communication strategies and promoting traceable agricultural products.

scholarly journals Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

2021 ◽  
Vol 18 (3) ◽  
pp. 912
Author(s):  
Xin Lin ◽  
Shu-Chen Chang ◽  
Tung-Hsiang Chou ◽  
Shih-Chih Chen ◽  
Athapol Ruangkanjanases
Keyword(s):  
Food Safety ◽  
Behavioral Control ◽  
Organic Food ◽  
Food Products ◽  
Partial Least Square ◽  
Least Square ◽  
Perceived Behavioral Control ◽  
Chinese Consumers ◽  
Food Traceability ◽  
Traceability System

Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers’ intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions’ influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS’ usage intention.

scholarly journals An IOT and Blockchain Approach for Food Traceability System in Agriculture

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Jianli Guo ◽  
Korhan Cengiz ◽  
Ravi Tomar
Keyword(s):  
Food Safety ◽  
Food Production ◽  
Raw Material ◽  
Safety Issues ◽  
Food Traceability ◽  
Agriculture Sector ◽  
Existing Problems ◽  
Traceability System ◽  
Basic Network ◽  
The Internet Of Things

The food holds a major role and at the worldwide level in human lives and societies, the agriculture sector is known to be a major employer. In all the developing countries, food supply chain is the major domains of research which need a growth. Nowadays, the world wide serious topic is a food safety and the food safety issues are tackled by the trusted food traceability system. It can track and monitor the food production whole lifespan in which the processes of food raw material cultivation/breeding, processing, transporting, and selling etc. are included. In this paper, food quality problems are discussed and the food traceability system is proposed which is based on the Internet of Things (IoT) and blockchain technique for agricultural products. The presented system architecture is detailed and other existing problems are also discussed. The consortium blockchain is utilized as the basic network and the traceability system can achieve more reliable and trustable devices.

Risk perceptions, on-farm handling, and food safety practices among egg producing farmers in Thailand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kwanhatai Thongpalad ◽  
Sushil Koirala ◽  
Anil Kumar Anal
Keyword(s):  
Food Safety ◽  
Risk Perception ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
Preventive Measures ◽  
Smallholder Farmers ◽  
Safety Practices ◽  
Content Type ◽  
On Farm ◽  
The Impact

PurposeSafe food from animal origins rely on preventive measures adopted at the farm level. However, farmers' awareness on the food safety risk is limited, affecting their on-farm activities. Thus, this study was conducted to assess and compare the farmers' perceptions on food safety issues and risks caused by the management and practices at layer farms.Design/methodology/approachFarmers from 143 farms certified by National Good Agricultural Practices (GAP) standard and 59 non-GAP farms were interviewed using a structured questionnaire for risk perception evaluation. Their level of perceived risk was compared using a scoring system.FindingsThe food safety hazards in eggs seem to be fairly recognized by both groups of farmers. GAP farmers demonstrated a higher risk of food safety incidences caused by inappropriate management and practices in farms than non-GAP farmers (p < 0.001). Although the results did not confirm the strong connection between risk perception and risk reduction behavior, these findings are beneficial to the food safety policy implementers to evaluate the critical issues for risk communication and for knowledge dissemination activities. The influence of other internal and external factors on farmers' food safety-related behavior should be further investigated.Research limitations/implicationsThe impact limitation was identified due to the restriction of scope on a specific population and region. The target respondents did not cover all scales, especially the backyard and smallholder farmers nor other rearing systems, such as free-range productions.Originality/valueThe knowledge regarding the food safety practices by egg producing farmers in Thailand is limited. Notably, this study contributes to the literature in elucidating the preventive behavior of food handlers and all stakeholders in the Thai food supply chain. The implementations of food safety preventive measures by two groups of farmers, GAP-certified and non-GAP-certified farmers, will guide policymakers to intervene more successfully regarding the appropriate changes needed.

The impact of food traceability system on consumer perceived value and purchase intention in China

2020 ◽  
Vol 120 (4) ◽  
pp. 810-824
Author(s):  
Chunlin Yuan ◽  
Shuman Wang ◽  
Xiaolei Yu
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Perceived Value ◽  
Primary Data ◽  
Content Type ◽  
Food Traceability ◽  
Traceability System ◽  
Consumer Expertise ◽  
The Impact ◽  
The Relationship

PurposeBased on the involvement and customer-delivered value theories, this paper proposes a comprehensive framework with which to examine the relationships between food traceability system, consumer perceived value and purchase intention. The study also investigates the moderating role of consumer expertise in the relationship between food traceability system and perceived value.Design/methodology/approachSurvey approach is the primary data collection tool, through which a total of 238 useable responses were obtained. Structural equation modelling is employed to examine the hypothesized relationships among all variables.FindingsThe findings show that the information quality, perceived reliability and product diagnosticity of food traceability system affect consumer perceived value, and the perceived value and purchase intention are positively associated, while consumer expertise acts as a moderator on the relationship between food traceability system and consumer perceived value.Originality/valueThis study sheds light on how consumer perceived value of food traceability system can enhance their intention to purchase traceable food. It contributes to the theory of customer-delivered value and involvement as well as traceable product marketing strategies. From a managerial perspective, guidelines are provided for traceable food producers and marketers to implement reasonable strategies to attract consumers to purchase and promote the sustainable development of food industry.

scholarly journals SARS-CoV-2 Pandemic and Food Safety Oversight: Implications in Canada and Coping Strategies

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2241
Author(s):  
Sylvain Charlebois ◽  
Janet Music
Keyword(s):  
Food Safety ◽  
Coping Strategies ◽  
Risk Perceptions ◽  
Safety System ◽  
Western World ◽  
Systemic Risks ◽  
The Future ◽  
Safety Systems ◽  
And Coping

The SARS-CoV-2 pandemic has created enormous societal disruptions in the Western world, including Canada, with serious implications for food safety. Since the start of the pandemic, many scholars have investigated the issue of food safety through different lenses. In this review, two research thrusts were identified, the epidemiology of the virus and food safety oversight. Both were challenged by the pandemic in Canada and elsewhere. In this paper, we first present how Canada experienced the pandemic. We then present how epidemiology and food safety oversight were affected by the virus and how the spread exposed gaps in Canada’s food safety system. We explain how Canada was not adequately prepared to face the food safety challenges posed by SARS-CoV-2. The review ends with an explanation on how risk perceptions will be altered by the pandemic in Canada and how food safety systems will adjust to better anticipate systemic risks in the future.

scholarly journals Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study

10.2196/19788 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e19788
Author(s):  
Atina Husnayain ◽  
Eunha Shim ◽  
Anis Fuad ◽  
Emily Chia-Yu Su
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
South Korea ◽  
Community Health ◽  
Risk Perceptions ◽  
Age Groups ◽  
Face Mask ◽  
Search Data ◽  
Internet Searches ◽  
Online Queries

Background South Korea is among the best-performing countries in tackling the coronavirus pandemic by using mass drive-through testing, face mask use, and extensive social distancing. However, understanding the patterns of risk perception could also facilitate effective risk communication to minimize the impacts of disease spread during this crisis. Objective We attempt to explore patterns of community health risk perceptions of COVID-19 in South Korea using internet search data. Methods Google Trends (GT) and NAVER relative search volumes (RSVs) data were collected using COVID-19–related terms in the Korean language and were retrieved according to time, gender, age groups, types of device, and location. Online queries were compared to the number of daily new COVID-19 cases and tests reported in the Kaggle open-access data set for the time period of December 5, 2019, to May 31, 2020. Time-lag correlations calculated by Spearman rank correlation coefficients were employed to assess whether correlations between new COVID-19 cases and internet searches were affected by time. We also constructed a prediction model of new COVID-19 cases using the number of COVID-19 cases, tests, and GT and NAVER RSVs in lag periods (of 1-3 days). Single and multiple regressions were employed using backward elimination and a variance inflation factor of <5. Results The numbers of COVID-19–related queries in South Korea increased during local events including local transmission, approval of coronavirus test kits, implementation of coronavirus drive-through tests, a face mask shortage, and a widespread campaign for social distancing as well as during international events such as the announcement of a Public Health Emergency of International Concern by the World Health Organization. Online queries were also stronger in women (r=0.763-0.823; P<.001) and age groups ≤29 years (r=0.726-0.821; P<.001), 30-44 years (r=0.701-0.826; P<.001), and ≥50 years (r=0.706-0.725; P<.001). In terms of spatial distribution, internet search data were higher in affected areas. Moreover, greater correlations were found in mobile searches (r=0.704-0.804; P<.001) compared to those of desktop searches (r=0.705-0.717; P<.001), indicating changing behaviors in searching for online health information during the outbreak. These varied internet searches related to COVID-19 represented community health risk perceptions. In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test–related information as being more important than disease-related knowledge. Meanwhile, younger, and older age groups had different perceptions. Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions. Adding COVID-19–related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case–based model and potentially be used to predict epidemic curves. Conclusions The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location.

scholarly journals A Credible Food Traceability System Based on Domain Name System Security Extensions

2018 ◽  
Vol 14 (04) ◽  
pp. 111 ◽  
Author(s):  
Yi Liu ◽  
Sha Liu ◽  
Junyu Wang ◽  
Kan Qian ◽  
Yiwei Shi ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Internet Of Things ◽  
Information Service ◽  
System Security ◽  
Data Integrity ◽  
Domain Name System ◽  
Domain Name ◽  
Food Traceability ◽  
Traceability System

Food safety has drawn worldwide attention because of its enormous impact on human health and social stability. Although traceability systems based on Internet of Things (IoT) can improve the visibility of the food supply chain, the trust service is necessary to ensure the data origin and data integrity. This paper proposes a food traceability system supported by a trust service based on Domain Name System Security Extensions(DNSSEC). A DNSSEC-enabled traceability system is implemented for food safety in China. In the traceability system, the master data and event data of the products is stored in distributed databases owned and managed by the enterprises respectively in the supply chain. Enterprise oriented Internet of Things Information Service (iotIS) is an important component of the distributed traceability system. A trust service for the Internet of Things, iotTS, is proposed to guarantee the data integrity. With this service, it can be ensured that the information stored in the enterprise database is original and has never been manipulated. Lightweight public keys are distributed based on the DNSSEC in this solution. Compared with the existing solutions, the proposed solution has better scalability and credibility.

Unveiling the food safety climate’s paths to adequate food handling in the hospitality industry in Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcel Levy de Andrade ◽  
Elke Stedefeldt ◽  
Lais Mariano Zanin ◽  
Luis D’Avoglio Zanetta ◽  
Diogo Thimoteo da Cunha
Keyword(s):  
Food Safety ◽  
Risk Perception ◽  
Organizational Climate ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Physical Structure ◽  
Equation Modeling ◽  
Content Type ◽  
Adequate Food

Purpose This study aims to explore whether the application of a positive food safety (FS) climate reduces the number of FS violations in the hospitality industry. Design/methodology/approach The sample comprised 271 food handlers in six hotels and 12 restaurants in Brazil. FS climate and risk perceptions were evaluated by self-applicable questionnaires. FS violations were evaluated through observations during the workday. Structural equation modeling with partial least squares was used to test four hypotheses. Findings The findings of this study suggest that a positive FS climate reduces the number of FS violations. It was also observed that risk perception moderated the relationship between FS climate and violations. Physical structure was also identified as a predictor of adequate FS practices. Practical implications The results indicate that restaurant owners and managers should invest in actions toward a positive FS climate. Originality/value It is evident that FS climate elements should be evaluated together, providing a better understanding of the organizational climate and FS culture. Additionally, the bi-directional effect of risk perception was discussed, affecting and being affected by adequate FS practices. To the best of authors’ knowledge, this is the first study to model the FS climate in the hospitality sector and discuss the implications.

scholarly journals Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study (Preprint)

2020 ◽  
Author(s):  
Atina Husnayain ◽  
Eunha Shim ◽  
Anis Fuad ◽  
Emily Chia-Yu Su
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
South Korea ◽  
Community Health ◽  
Risk Perceptions ◽  
Age Groups ◽  
Face Mask ◽  
Search Data ◽  
Internet Searches ◽  
Online Queries

BACKGROUND South Korea is among the best-performing countries in tackling the coronavirus pandemic by using mass drive-through testing, face mask use, and extensive social distancing. However, understanding the patterns of risk perception could also facilitate effective risk communication to minimize the impacts of disease spread during this crisis. OBJECTIVE We attempt to explore patterns of community health risk perceptions of COVID-19 in South Korea using internet search data. METHODS Google Trends (GT) and NAVER relative search volumes (RSVs) data were collected using COVID-19–related terms in the Korean language and were retrieved according to time, gender, age groups, types of device, and location. Online queries were compared to the number of daily new COVID-19 cases and tests reported in the Kaggle open-access data set for the time period of December 5, 2019, to May 31, 2020. Time-lag correlations calculated by Spearman rank correlation coefficients were employed to assess whether correlations between new COVID-19 cases and internet searches were affected by time. We also constructed a prediction model of new COVID-19 cases using the number of COVID-19 cases, tests, and GT and NAVER RSVs in lag periods (of 1-3 days). Single and multiple regressions were employed using backward elimination and a variance inflation factor of &lt;5. RESULTS The numbers of COVID-19–related queries in South Korea increased during local events including local transmission, approval of coronavirus test kits, implementation of coronavirus drive-through tests, a face mask shortage, and a widespread campaign for social distancing as well as during international events such as the announcement of a Public Health Emergency of International Concern by the World Health Organization. Online queries were also stronger in women (<i>r</i>=0.763-0.823; <i>P</i>&lt;.001) and age groups ≤29 years (<i>r</i>=0.726-0.821; <i>P</i>&lt;.001), 30-44 years (<i>r</i>=0.701-0.826; <i>P</i>&lt;.001), and ≥50 years (<i>r</i>=0.706-0.725; <i>P</i>&lt;.001). In terms of spatial distribution, internet search data were higher in affected areas. Moreover, greater correlations were found in mobile searches (<i>r</i>=0.704-0.804; <i>P</i>&lt;.001) compared to those of desktop searches (<i>r</i>=0.705-0.717; <i>P</i>&lt;.001), indicating changing behaviors in searching for online health information during the outbreak. These varied internet searches related to COVID-19 represented community health risk perceptions. In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test–related information as being more important than disease-related knowledge. Meanwhile, younger, and older age groups had different perceptions. Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions. Adding COVID-19–related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case–based model and potentially be used to predict epidemic curves. CONCLUSIONS The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location.

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