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Jy0806 p

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Data Analysis

To achieve research objectives, this study adopts a systematic literature review. The block

chain and supply chain governance are discussed by several articles, but none concentrate directly

on the food supply chain with an emphasis on operations. Such papers form the basis for this

analysis. The literature analysis is a comprehensive, explicit, and replicable technique to assess,

evaluate, and interpret the set of documents already published (Bouzembrak et al., 2019). This

paper uses a literature review approach focused on qualitative research to analyze the publications

on the use of the Internet of Things in the food supply chain governance. The systematic review

aims to identify "scientific main contribution," minimize partialities and "gather insight" to an

area. Due to the standardized and transparent method, the content analysis may be used to obtain

accurate results. In the sector of operations management, some researchers conducted a content

classification framework for the literature review.

This article not only discusses the Internet of Things extensively but explores practical

implications in the management of the alimentary stock sequence. It purposes towards getting a

more accurate and incorporated comprehension concerning the Internet of Things and its influence

on the management of the food supply chain. The study covers a six-phase method of refinement:

identifying research issues, developing criteria for inclusion and exclusion, evaluating databases

to look up, applying criteria, synthesizing the relevant literature, and documenting results. In the

presentation, research questions were submitted. The study keywords are the internet of things, the

food supply chain to be widely known (Negka et al., 2019). Therefore, academic journals and

government publications can be sought and examined concerning IoT applications in the food

supply chain. Three information systems that would be used for searching for related academic

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literature are web science, Scopus, and Ensco, as the three repositories have a wide array of tools

and are widely used in the supply chain management study.

The journal articles evaluated by peers are seen as a way to interact with researchers of

excellent quality. Throughout this study, the early phase of the IoT process and the limited journal

reports are also regarded to provide further references, like conference papers, Grey Papers and

consultations, and third-party reviews, which can provide more information. The first search was

conducted in the three databases with 57 results. Quantity of significant documents remained

lowered up to 26 in the ultimate stage of the process by trying to remove overlapped papers and

implementing selection criteria. The final 26 records are classified and analyzed by means of a

content analysis method, a methodology that is used to calculate systemic and logical events, data

or communications networks.

The first experience in all documents to provide necessary details for the chosen documents

is concise analysis. The first paper was written in 2016, with nine publications written in 2017,

and 16 publications released as they were young in technology in 2018. The time trend

demonstrates the growing presence of the Internet of Things in the distribution chain. This

illustrates why 13 out of 26 articles are conference papers associated with technological

innovation. Since both papers concentrate on the food supply chain, food styles are very different.

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The key purpose of the papers was the common supply chain for agri-food. There have been

several papers in the paper that have been used for specialist food systems, such as Halal, shrimp,

and rice.

Documentation particularly emphasized the Internet of Things and displayed their value

through a conceptual context, and subsequently by pilots, three theory papers, one survey, and two

systems analysis of literature. Both articles have been thoroughly read, and the benefits and

obstacles have been illustrated in different categories (Kumar and Shoghli, 2018). The benefits are

segregated in transparency, effectiveness and efficiency; the obstacles are lack of awareness,

obsolete technologies, stakeholder co-operation, market secrets and the use of raw materials.

Through listing and grouping, one could more easily display the short description and descriptions

of each document.

Findings and Discussion

Many studies have shown the issues in the existing food supply chain, such as inadequate

traceability, asymmetry, data fraud, weak supply chains. The block chain will in this circumstance

be a viable solution to the above-mentioned problems. The five benefits mentioned in these 26

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1 Data Analysis To achieve research objectives, this study adopts a systematic literature review. The block chain and supply chain governance are discussed by several articles, but none concentrate directly on the food supply chain with an emphasis on operations. Such papers form the basis for this analysis. The literature analysis is a comprehensive, explicit, and replicable technique to assess, evaluate, and interpret the set of documents already published (Bouzembrak et al., 2019). This paper uses a literature review approach focused on qualitative research to analyze the publications on the use of the Internet of Things in the food supply chain governance. The systematic review aims to identify "scientific main contribution," minimize partialities and "gather insight" to an area. Due to the standardized and transparent method, the content analysis may be used to obtain accurate results. In the sector of operations management, some researchers conducted a content classification framework for the literature review. This article not only discusses the Internet of Things extensively but explores practical implications in the management of the alimentary stock sequence. It purposes towards getting a more accurate and incorporated comprehension concerning the Internet of Things and its influence on the management of the food supply chain. The study covers a six-phase method of refinement: identifying research issues, developing criteria for inclusion and exclusion, evaluating d ...
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