Mohsen Rajabzadeh; Shaban Elahi; Alireza Hasanzadeh; Mohammad mehrain
Abstract
Studies show that there are shortcomings in the deployment of the Internet ofThings (IoT) in the supply chain of agricultural products, especially in thefield of quality control in the logistics sector, and researchers can model theexisting theoretical gaps through modeling and optimization. Therefore, ...
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Studies show that there are shortcomings in the deployment of the Internet ofThings (IoT) in the supply chain of agricultural products, especially in thefield of quality control in the logistics sector, and researchers can model theexisting theoretical gaps through modeling and optimization. Therefore, thepurpose of this paper is to identify the most important categories affectingthe deployment of the Internet of Things in the wheat supply chain storagesector and explain and mapping the relationship between these categories.For this purpose, the present article uses meta-synthesis method by searchingWeb of Science and Scopus citation databases. Then, the grounded theorycoding procedures were used to determine categories and themes. Finally,the results of meta-synthesis lead to the identification and extraction of 3macro categories; IoT technology, the main category (IoT-based storage),and the results and consequences of IoT deployment.
saeed rayatpisha; reza ahmay; Maisam_Abbasi Abbasi
Abstract
Purpose of this research is to study criteria of sustainable supply chains in petrochemical industry. The research approach was both explorative and explanatory by using mixed methodologies for collection and analysis of data. It started with qualitative meta- synthesis of criteria of sustainable supply ...
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Purpose of this research is to study criteria of sustainable supply chains in petrochemical industry. The research approach was both explorative and explanatory by using mixed methodologies for collection and analysis of data. It started with qualitative meta- synthesis of criteria of sustainable supply chains in former publications by using MAXQDA software. Afterwards, the identified criteria were quantitatively analyzed based on Delphi-fuzzy, DEMATEL and analytic network process (ANP) methodologies. Therefore, in this step the questionnaires was completed by 23 experts of Petrochemical industry, who were selected by purposive sampling. In total, fifteen criteria of sustainable supply chains were identified and classified. In the quantitative analysis, the three criteria of "organization & corporate-centric", "environmental management" and "environmental pressures" were rated as the most critical criteria. This study highlights the importance of criteria as well as the strength of interrelationships among criteria of sustainable supply chains in petrochemical industry. The research results can be beneficial for decision makers to prioritize their resources, actions, and strategies in steering supply chains sustainable development.