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.
ICDSM2022 has been successfully held during January 8th through a digital platform(ZOOM). All papers accepted will be published on Springer Book Series--Smart Innovation, Systems and Technologies (ISSN: 2190-3018).
ICDSM2021 has been successfully held during January 9th through a digital platform(ZOOM). All papers accepted will be published on Springer Book Series--Advances in Intelligent Systems and Computing (AISC, ISSN: 2194-5357).
More information on publication of ICDSM2018,ICDSM2019,ICDSM2021, please click the link:
ICDSM2018：https://www.springer.com/cn/book/9789811393297
ICDSM2019：https://www.springer.com/cn/book/9789811535871
ICDSM2022：https://link.springer.com/book/10.1007/978-981-19-2768-3
Proceeding
All papers, both invited and contributed, will be reviewed by at least 2 experts from the committees. After a careful reviewing process before the final decision and detailed presentation at the conference.
All accepted papers of ICDSM2023 will be published by Conference Publishing Services (CPS). Conference publication of CPS is submitted to EI Compendex, Scopus, INSPEC and Current Contents on Diskette for indexing.
Journals
Some of the best papers of ICDSM2023 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 (SCIE, SSCI, EI, ESCI, ABS, Scopus) including:
https://www.mdpi.com/journal/sustainability
Organizers
Technical and Service Provider
