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Journal of Data, Information and Management - Springer | 2024 Cite Score: 4.6 | Q2

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Journal of Data, Information and Management - Springer | 2024 Cite Score: 4.6 | Q2

  • About this Journal:
  • Peer-reviewed journal published by Springer focusing on data, information and management systems.Owing to the numerous advances in computer and the Internet technology, and now cloud computing services and big data, we are experiencing major changes in our life. Nowadays, the number of factors that influence management is so huge and complex that neither sophisticated theories nor elegant advanced models can offer complete and effective solutions. The challenges are in many ways fundamental that require closer collaboration to draw upon a collective wisdom across different disciplines. Data can enable, encourage and enhance such collaborative linkages. Data Sciences, Information Sciences and Management Sciences are by their very nature interdisciplinary. In our information-intensive era, to remain competitive, maintain constant vigilance and safeguard integrity and security in modern management, we have to rely on big data. Beyond any doubt data analytics has become an integral part of and is integrating information and management sciences. The Journal of Data, Information and Management (JDIM) is a unique and premiere platform for disseminating most up-to-date research and development in the data-information-management interdisciplinary problems. JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour.
  • Covers technologies and fields in business, information systems, and management information systems.
  • Publishes original research articles, review papers and case studies in data and information management contexts.
  • Indexed in major international databases and uses standard academic publishing practices.

  • Editor-in-Chief:  Michael Segal

  • Scope of the Journal:
  • Data management, information systems and organizational information infrastructures.
  • Interdisciplinary research bridging business/management with information systems and data technologies.
  • Analytics, machine learning, big data, decision support and management of information assets.
  • Case studies in enterprise, academia, public sector—regarding how data & information can be leveraged for management and decision-making.
  • System design, implementation and evaluation of data/information systems within organizational or societal contexts.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  25246356

    Electronic ISSN:  25246364

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Information Systems

  • Publication Frequency:  

  • H Index:  20

  • Best Quartile:

    Q1:  

    Q2:  Information Systems

    Q3:  

    Q4:  

  • Cite Score:  4.6

  • SNIP:  0.782

  • Journal Rank(SJR):  0.419