2017
DOI: 10.1007/s12351-017-0298-5
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Evaluation of agri-product supply chain competitiveness based on extension theory

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Cited by 9 publications
(5 citation statements)
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“…The results show a strong correlation between promotion, customer service and forward and backward linkage. The results confirm the previous work (Yan, Chen, & Li, 2017; Yu & Xiao, 2017).…”
Section: Discussionsupporting
confidence: 93%
“…The results show a strong correlation between promotion, customer service and forward and backward linkage. The results confirm the previous work (Yan, Chen, & Li, 2017; Yu & Xiao, 2017).…”
Section: Discussionsupporting
confidence: 93%
“…Supply chain competitiveness is influenced by internal resource retention, learning and updating capabilities, competitive strategy formulation options, human resources, and academic support. Yan et al (2019) used expansion theory to evaluate the competitiveness of agricultural supply chains [14]. Verma et al(2018) used AHP as an analytical tool to analyze the competitiveness of Indian manufacturing supply chains using multi-criteria decision-making [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Lima and Carpinettil (2016) proposed a new method of supply chain performance evaluation based on the SCOR model and fuzzy TOPSIS combination. (3) The establishment of supply chain performance evaluation indicators (Yan et al , 2019; Xie et al , 2020; Narimissa et al , 2020; Ayyildiz and Gumus, 2020). Among them, Yan et al (2019) established the competitiveness evaluation indicator system of agricultural product supply chains based on the extension theory after fully understanding the characteristics of agricultural products and agricultural product supply chains.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(3) The establishment of supply chain performance evaluation indicators (Yan et al , 2019; Xie et al , 2020; Narimissa et al , 2020; Ayyildiz and Gumus, 2020). Among them, Yan et al (2019) established the competitiveness evaluation indicator system of agricultural product supply chains based on the extension theory after fully understanding the characteristics of agricultural products and agricultural product supply chains. Xie et al (2020) put forward the performance evaluation indicator system of smart supply chains against the backdrop of Industry 4.0, which includes 7 first-level indicators and 20 second-level indicators.…”
Section: Literature Reviewmentioning
confidence: 99%