Industrial Management and Data Systems

Aims & Scope

The scope of IMDS cover all aspects of areas that integrates both operations management and information systems research, and topics include but not limited to, are listed below: Big Data research; Data analytics; E-business; Production planning and scheduling; Logistics and supply chain management; New technology acceptance and diffusion; Marketing of new industrial products and processes; Sustainable supply chain management; Green information systems; IS strategies; Knowledge management; Innovation management; Performance measurement; Social media in businesses

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.7

SJR (SCImago Journal Rank)

Year	Value
2024	1.279

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	132

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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, Computer Science and Engineering, 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.

• Using PLS path modeling in new technology research: updated guidelines

  Citation: 4584

  Authors: Jörg, Geoffrey, Pauline Ash

• An updated and expanded assessment of PLS-SEM in information systems research

  Citation: 2548

  Authors: Joe, Carole L., Adriane B., Alain Yee Loong

• Mediation analysis in partial least squares path modeling

  Citation: 1656

  Authors: Christian, Jose L., Gabriel

• Gain more insight from your PLS-SEM results

  Citation: 1038

  Authors: Christian M., Marko

• Understanding the determinants of cloud computing adoption

  Citation: 758

  Authors: Chinyao, Yahsueh, Mingchang

• Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers

  Citation: 533

  Authors: Daniel, Luis V., Carlos

• An empirical study of wearable technology acceptance in healthcare

  Citation: 506

  Authors: Yiwen, He, Yan

• Consumer trust, perceived security and privacy policy

  Citation: 502

  Authors: Carlos, Miguel

• Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research

  Citation: 490

  Authors: Wynne, Jun-Hwa, Yide, Hiram, Xin-Jean, Tat Huei

• Initial trust and online buyer behaviour

  Citation: 480

  Authors: Yu-Hui, Stuart

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