Journal of Data, Information and Management

Aims & Scope

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.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	13356

Journal Citation Indicator

Year	Value
2024	212

SJR (SCImago Journal Rank)

Year	Value
2024	0.419

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	20

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting and Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Big data in the food supply chain: a literature review

  Citation: 68

  Authors: Abderahman, John G., Karim

• Internet of things based distributed healthcare systems: a review

  Citation: 65

  Authors: Mahantesh N., Savita S.

• Blockchain research in healthcare: a bibliometric review and current research trends

  Citation: 59

  Authors: Abderahman, Horst, Karim, Suhaiza

• The role of big data analytics in enabling green supply chain management: a literature review

  Citation: 50

  Authors: Jia, Meng, Hefu

• Big data for sustainable agri‐food supply chains: a review and future research perspectives

  Citation: 49

  Authors: Abderahman, Karim, Suhaiza

• AI in operations management: applications, challenges and opportunities

  Citation: 49

  Authors: Ali K., Burcu B.

• Smarter supply chain: a literature review and practices

  Citation: 47

  Authors: Jixin, Meng, Bo

• Supplier selection and order allocation: a literature review

  Citation: 45

  Authors: Mohammad Abbas, Saman Hassanzadeh

• A Comprehensive Study on Critical Security Issues and Challenges of the IoT World

  Citation: 43

  Authors: Shivani, Manan

• Panacea of challenges in real-world application of big data analytics in healthcare sector

  Citation: 40

  Authors: Grishma, Abhishek, Manan

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