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Ifeyinwa Juliet Orji
Researcher at Soochow University (Suzhou)
Publications - 24
Citations - 826
Ifeyinwa Juliet Orji is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Supply chain & Sustainability. The author has an hindex of 10, co-authored 19 publications receiving 402 citations. Previous affiliations of Ifeyinwa Juliet Orji include Massachusetts Institute of Technology & Dalian University of Technology.
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Evaluating the factors that influence blockchain adoption in the freight logistics industry
TL;DR: In this paper, the authors proposed a technology-organization-environment (TOE) theoretical framework of critical factors that influence the successful adoption of blockchain technologies in the freight logistics industry and prioritize them using the analytic network process.
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An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection
Ifeyinwa Juliet Orji,Sun Wei +1 more
TL;DR: This work presents a novel modeling approach of integrating information on supplier behavior in fuzzy environment with system dynamics simulation modeling technique which results in a more reliable and responsible decision support system.
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The critical success factors of using social media for supply chain social sustainability in the freight logistics industry
TL;DR: The research findings indicate that customer satisfaction, sufficient security and privacy, affordability and competitive pressure are the highest ranked CSFs to achieve supply chain social sustainability using of social media.
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Examining barriers to organizational change for sustainability and drivers of sustainable performance in the metal manufacturing industry
TL;DR: Wang et al. as discussed by the authors employed interpretive structural modeling (ISM) technique and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to examine the barriers to organizational change for sustainability and drivers which support sustainable performance.
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A dynamic perspective on the key drivers of innovation-led lean approaches to achieve sustainability in manufacturing supply chain
TL;DR: Wang et al. as mentioned in this paper employed fuzzy logic and Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS) to prioritize the key drivers of innovation-led lean approaches to achieve sustainability in the manufacturing supply chain based on the evaluations of experts in the Chinese electronics sector.