Traceability Information Model for Sustainability of Black Soybean Supply Chain: A Systematic Literature Review

Syaiful Anwar, Tomy Perdana, Meddy Rachmadi and Trisna Insan Noor
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Syaiful Anwar: Doctorate Program of Agricultural Science, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia
Tomy Perdana: Department of Agro Socio-Economics, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia
Meddy Rachmadi: Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia
Trisna Insan Noor: Department of Agro Socio-Economics, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia

Sustainability, 2022, vol. 14, issue 15, 1-19

Abstract: Traceability information as a solution option becomes an important task for the industry in providing products, preparing sustainable raw materials, and ensuring adequate safety quality. The emergence of these demands makes the industry perform tracking in order to prepare product inventories ranging from raw materials to products that have been produced. Based on these reasons, the scope of this paper is to provide a systematic review of the literature on various aspects of implementing information traceability models and sustainability of supply chain on economic, social, environmental, technological, institutional, and infrastructural dimensions. For this purpose, we use the Scopus, Science Direct, EBSCO Host, and ProQuest databases. We used the PRISMA model to identify, filter, and test for the eligibility of articles to be included. We selected 52 articles contributed by this search engine. We found was that between 2018 to 2021 there was increasing interest in this research. The dominant traceability information model in the article uses blockchain, the rest use operations research (OR), Google Earth Engine (GEE), website-based, Unified Modeling Language (UML), Extensible Markup Language (XML), physical markup language (PML), logit, enterprise resource planning (ERP), soft independent modelling of class analogies (SIMCA), and Spatially Explicit Information on Production to Consumption Systems (SEI-PCS).

Keywords: traceability; information modelling; sustainability; supply chain; black soybean; PRISMA model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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