In 2016, Massachusetts Institute of Technology (MIT) and the Ningbo municipal government jointly established Ningbo China Institute for Supply Chain Innovation (NISCI). NISCI is a non-profit educational and research institute that operates independently under the guidance of the MIT Center for Trans...See more
Industry & specialities
industrial alliancesexecutive educationlogisticsoperation managementsupply chain managementmaster degree+1 more
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Frequently Asked Questions (FAQ)
How long has NINGBO CHINA INSTITUTE FOR SUPPLY CHAIN INNOVATION (NISCI) been operating for?
What is the funding status of NINGBO CHINA INSTITUTE FOR SUPPLY CHAIN INNOVATION (NISCI)?
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Where is NINGBO CHINA INSTITUTE FOR SUPPLY CHAIN INNOVATION (NISCI)'s headquarter?
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What NINGBO CHINA INSTITUTE FOR SUPPLY CHAIN INNOVATION (NISCI)'s spending power?
Does NINGBO CHINA INSTITUTE FOR SUPPLY CHAIN INNOVATION (NISCI) have a presence in the domain it operates in?
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
