ICDSM2021 is supported by The Hang Seng University of Hong Kong(BIG DATA INTELLIGENCE CENTRE),news report:

https://bdic.hsu.edu.hk/the-3rd-international-conference-on-decision-science-management-icdsm2021


Due to outbreak of COVID-19 and for the safety of our participants,we have to announce regretfully that The 3rd International Conference on Decision Science & Management (ICDSM2021) will be held at Guangzhou in China on January 8-10, 2021,the paper publication and retrieval is normal.We hope you can understand such a demanded action.


About ICDSM2021

The emerging field of decision science is an interdisciplinary area, which deals with business processes and systems that are used to extract knowledge from large amount of data available from heterogeneous sources and provide significant insights to make crucial decisions in critical situations. Decision science, as a vast field, utilizes a lot of existing as well as new theories and techniques that belongs to diverse disciplines like business management, information science, mathematics, statistics and computer science. It adds value to various sectors of business management by the addition of statistical as well as computational techniques to generate valuable insights across the workflow in several business management processes, from the hiring process of new candidates on the basis of various evaluation parameters to helping the senior managers in making better decisions in vulnerable situations by keeping them informed about relevant dynamic and uncertain changes occurring in related sectors. Also, data driven logical revelation plays an important role in finding novel directions for advancement and improvement in several key areas such as supply chain management, logistics, business operations, financial markets, marketing strategies, human resource developments, resource management, social sciences, adoption of Internet of things, and distributed computing etc., thus making the integration of decision science techniques in business sector a potential research area.

This conference brings the experts, practitioners, scientists and decision-makers from academia and industry together. Our aim is to foster a strong, lively and well-connected international research community. We welcome innovative ideas, concepts, services, techniques, research outputs and business practices.


Conference History

ICDSM2019 was successfully held on September 20-21 in Changsha, Hunan,and all accepted papers had been published by Springer Book Series--Advances in Intelligent Systems and Computing (AISC, ISSN: 2194-5357) .

More information on publication of ICDSM2019, please click the link:

https://www.springer.com/cn/book/9789811393297

https://www.springer.com/gp/book/9789811535871

For more information on ICDSM2019, please click the link:

http://www.icdsmconference.com/2019/menu/home

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ICDSM2021 was successfully held on January 8-10 in Changsha.

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Paper Publication

Proceeding

ICDSM2021 will be published in Advances in Intelligent Systems and Computing(ISSN: 2194-5357)by Springer-Verlag.

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Advances in Intelligent Systems and Computing(ISSN: 2194-5357)of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.Currently, the retrieval of papers which are submitted by Springer-Verlag is normal.


Journals

Some of the best papers of ICDSM2021 will have the chances to be recommended to SCI / EI journals for publishing, In such case, the papers must be significantly changed after improvement and expanding - usually, at least 30% changes are requested.


Collaborating journals

We will work with a number of high quality and indexed journals (SCI, SSCI, EI, ESCI, ABS, Scopus) including:

1. Enterprise Information Systems (JCR SCI Q3)
2. International Journal of Applied Decision Sciences (EI)
3. International Journal of Enterprise Information Systems (EI)
4. International Journal of Information Systems and Supply Chain Management (EI)
5. International Journal of Information Systems in the Service Sector (EI)
6. International Journal of Engineering Business Management (ESCI)


Technical and Service Provider

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