Journal of Management Analytics

Aims & Scope

The Journal of Management Analytics (JMA) is a journal focused on the theory of data analytics and its applications in traditional business disciplines.

These disciplines include accounting, finance, management, marketing, production/operations management, and supply chain management.

The interface between data analytics and various business disciplines are of particular interest for this journal.

Research methods integral to this journal include, but are not limited to, empirical research, data analytics, big data analytics, data science, operations research, management science, decision science, and simulation modelling.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.5
2024	3.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.897

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	38

Journal Rank

Year	Value
2024	5721

Journal Citation Indicator

Year	Value
2024	521

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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
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Decision Sciences and Mathematics, 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.

• Artificial intelligence: a survey on evolution, models, applications and future trends

  Citation: 404

  Authors: Yang

• Natural language processing (NLP) in management research: A literature review

  Citation: 300

  Authors: Yue, Zhao, Chee-Wee, Qian, Hefu

• An in-depth review of theory of the TOPSIS method: An experimental analysis

  Citation: 171

  Authors: Yakup, Fatih

• Explore success factors that impact artificial intelligence adoption on telecom industry in China

  Citation: 169

  Authors: Hong, Ling, Yong

• Blockchain technology in the future of business cyber security and accounting

  Citation: 160

  Authors: Sebahattin, Irem, Andrew

• Banking with blockchain-ed big data

  Citation: 152

  Authors: Hossein, Xu, Emmanuel

• Blockchain and the related issues: a review of current research topics

  Citation: 137

  Authors: Yang

• Big data analytics with applications

  Citation: 109

  Authors: Zhuming, David

• Blockchain: a literature review

  Citation: 103

  Authors: Anjee, Ling, Asim

• Big data analytics and business analytics

  Citation: 101

  Authors: Lian, Ye

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