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Schrobback P, Zhang A, Loechel B, Ricketts K, Ingham A. Food Credence Attributes: A Conceptual Framework of Supply Chain Stakeholders, Their Motives, and Mechanisms to Address Information Asymmetry. Foods 2023; 12:foods12030538. [PMID: 36766068 PMCID: PMC9914793 DOI: 10.3390/foods12030538] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 01/13/2023] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
Food credence attributes (e.g., food safety, organic, and carbon neutral production methods) are quality characteristics of products that cannot be assessed by buyers at the point of sale without additional information (e.g., certification labels). Hence, the ability to access credence attributes of a particular product can result in a situation termed as asymmetric distributed information among supply chain stakeholders (e.g., producers, processors, wholesalers, retailers, consumer) where one party of a market transaction is in possession of more information about a product than the other party. This situation can lead to potential inefficiencies, e.g., misinformation, risk of food borne illness, or opportunistic behavior such as fraud. The present study sought to develop a conceptual framework that describes a) the motivation for key stakeholders to participate in the market for food credence attributes, b) the type of food credence attributes that key stakeholders provide, and c) current mechanisms to address the issue of information asymmetry among the stakeholders in the food system. The study was conducted using an integrative literature review. The developed framework consists of two components: a) the food supply chain and b) the attribute assurance system among which multiple links exist. The findings suggest that retailers, processors, NGOs, and government authorities are influential stakeholders within the supply chain of food credence attributes by imposing food quality standards which can address information asymmetry among food actors. While the credence attribute assurance system (e.g., food standards, third party food attribute assurance providers) can potentially address the issue of asymmetric information among market stakeholders, a range of issues remain. These include food standards as a potential market entry barrier for food producers and distributors, limited food standard harmonization, and communication challenges of food attribute assurance (e.g., consumers' signal processing, signal use and trust). The syntheses presented in this study contributes to stakeholders' (e.g., supply chain actors, scientists, policy makers) improved understanding about the components of the credence food system and their integration as well as the drivers for change in this system.
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Affiliation(s)
- Peggy Schrobback
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4067, Australia
- Correspondence:
| | - Airong Zhang
- Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4102, Australia
| | - Barton Loechel
- Environment, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4102, Australia
| | - Katie Ricketts
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT 2601, Australia
| | - Aaron Ingham
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4067, Australia
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Song S, Huang T, Ma J, Mao X, Gao H, Zhao Y, Jiang W, Lian L, Chen B, Liu L, Wang Z. Assessing Safety of Market-Sold Fresh Fish: Tracking Fish Origins and Toxic Chemical Origins. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:9505-9514. [PMID: 35731583 DOI: 10.1021/acs.est.2c00495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Increasing global and domestic food trade and required logistics create uncertainties in food safety inspection due to uncertainties in food origins and extensive trade activities. Modern blockchain techniques have been developed to inform consumers of food origins but do not provide food safety information in many cases. A novel food safety tracking and modeling framework for quantifying toxic chemical levels in the food and the food origins was developed. By integrating chemicals' multimedia environment exchange, food web, and source tracking systems, the framework was implemented to identify short-chain chlorinated paraffin (SCCP) contamination of fresh hairtail fish sold by a Walmart supermarket in Xi'an, northwestern China, and sourced in Eastern China Sea coastal waters. The framework was shown to successfully predict SCCP level with a mean of 17.8 ng g-1 in Walmart-sold hairtails, which was comparable to lab-analyzed 21.9 ng g-1 in Walmart-sold hairtails. The framework provides an alternative and cost-effective approach for safe food inspection compared to traditional food safety inspection techniques. These encouraging results suggest that the approach and rationale reported here could add additional information to the food origin tracking system to enhance transparency and consumers' confidence in the traded food they consumed.
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Affiliation(s)
- Shijie Song
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Tao Huang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Jianmin Ma
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, P. R. China
| | - Xiaoxuan Mao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Hong Gao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Yuan Zhao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 610000, P. R. China
| | - Lulu Lian
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Boqi Chen
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Luqian Liu
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
| | - Zhanxiang Wang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China
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Sharma M, Alkatheeri H, Jabeen F, Sehrawat R. Impact of COVID-19 pandemic on perishable food supply chain management: a contingent Resource-Based View (RBV) perspective. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT 2022. [DOI: 10.1108/ijlm-02-2021-0131] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis study investigates the impact of supplier visibility on the adoption of sustainable practices and supply chain performance. The paper applies contingent Resource-Based View to explain how information sharing with customers and suppliers and supply chain traceability has influenced visibility; visibility has impacted supply chain velocity sustainable practices, and finally, supply chain performance.Design/methodology/approachThis research analyses 263 survey responses from UK retail (grocery) stores' executives and managers for perishable food during the COVID-19 pandemic.FindingsThe research results indicate that both supply chain traceability and information sharing (customers) positively influence visibility. Further, visibility positively influences the adoption of sustainable practices and velocity, positively impacting supply chain performance. However, information sharing with the customer has no significant influence on performance, and information sharing with the supplier has no significant relationship with visibility.Originality/valueThis research is the first attempt that explores the contingent Resource-Based View for the perishable food supply chain. Further, the empirical evidence provides meaningful insights for academics and industry by filling a crucial lacuna in the literature.
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The influence of blockchain-based food traceability on retailer choice: The mediating role of trust. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108082] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Stranieri S, Riccardi F, Meuwissen MP, Soregaroli C. Exploring the impact of blockchain on the performance of agri-food supply chains. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107495] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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The awareness assessment of the Italian agri-food industry regarding food traceability systems. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2020.04.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Liu R, Gao Z, Snell HA, Ma H. Food safety concerns and consumer preferences for food safety attributes: Evidence from China. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107157] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Gunawan I, Vanany I, Widodo E. Cost-benefit model in improving traceability system: case study in Indonesian bulk-liquid industry. SUPPLY CHAIN FORUM 2019. [DOI: 10.1080/16258312.2019.1570671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Ivan Gunawan
- Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
- Department of Industrial Engineering, Universitas Katolik Widya Mandala Surabaya, Surabaya, Indonesia
| | - Iwan Vanany
- Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
| | - Erwin Widodo
- Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
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Stranieri S, Cavaliere A, Banterle A. Do motivations affect different voluntary traceability schemes? An empirical analysis among food manufacturers. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.04.047] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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12
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Localization in Low Power Wide Area Networks Using Wi-Fi Fingerprints. APPLIED SCIENCES-BASEL 2017. [DOI: 10.3390/app7090936] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Qian J, Fan B, Wu X, Han S, Liu S, Yang X. Comprehensive and quantifiable granularity: A novel model to measure agro-food traceability. Food Control 2017. [DOI: 10.1016/j.foodcont.2016.11.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Abd Rahman A, Singhry HB, Hanafiah MH, Abdul M. Influence of perceived benefits and traceability system on the readiness for Halal Assurance System implementation among food manufacturers. Food Control 2017. [DOI: 10.1016/j.foodcont.2016.10.058] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ugochukwu AI, Hobbs JE, Phillips PW, Gray R. An economic analysis of private incentives to adopt DNA barcoding technology for fish species authentication in Canada. Genome 2015; 58:559-67. [DOI: 10.1139/gen-2015-0033] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The increasing spate of species substitution and mislabelling in fish markets has become a concern to the public and a challenge to both the food industry and regulators. Species substitution and mislabelling within fish supply chains occurs because of price incentives to misrepresent products for economic gain. Emerging authenticity technologies, such as the DNA barcoding technology that has been used to identify plants and animal (particularly fish) species through DNA sequencing, offer a potential technological solution to this information problem. However, the adoption of these authenticity technologies depends also on economic factors. The present study uses economic welfare analysis to examine the effects of species substitution and mislabelling in fish markets, and examines the feasibility of the technology for a typical retail store in Canada. It is assumed that increased accuracy of the technology in detecting fraud and enforcement of legal penalties and other associated costs would be likely to discourage cheating. Empirical results suggest that DNA barcoding technology would be feasible presently for a typical retail store only if authentication is done in a third party laboratory, as it may not be feasible on an individual retail store level once fixed and other associated costs of the technology are considered.
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Affiliation(s)
- Albert I. Ugochukwu
- Department of Bioresource Policy, Business and Economics, University of Saskatchewan, 51 Campus Drive Saskatoon, SK S7N 5A8, Canada
| | - Jill E. Hobbs
- Department of Bioresource Policy, Business and Economics, University of Saskatchewan, 51 Campus Drive Saskatoon, SK S7N 5A8, Canada
| | - Peter W.B. Phillips
- Johnson—Shoyama Graduate School of Public Policy, University of Saskatchewan, 101 Diefenbaker Place, Saskatoon, SK S7N 5B8, Canada
| | - Richard Gray
- Department of Bioresource Policy, Business and Economics, University of Saskatchewan, 51 Campus Drive Saskatoon, SK S7N 5A8, Canada
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