Decision Sciences

Aims & Scope

The Journal focuses on theoretical, empirical and methodological investigations of managerial decisions that drive business productivity and success.

Such research can be methodologically focused on quantitative approaches, on qualitative methods, or can take the form of insightful reviews and commentaries on best practices in business research.

In the tradition of the Institutes interdisciplinary heritage, Decision Sciences Journal dedicates itself to the interdisciplinary investigation of managerial decision making in the recognition that important managerial decision making takes place in a range of critical business areas.

Of particular focus, however, are the areas of Information Systems, Operations and the Supply Chain Management.

We are particularly interested in Analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide managerial decision making in an increasingly complex business environment.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.5
2024	2.80

SJR (SCImago Journal Rank)

Year	Value
2024	1.620

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	129

Journal Rank

Year	Value
2024	2087

Journal Citation Indicator

Year	Value
2024	648

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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 and Decision Sciences, 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.

• Technology Acceptance Model 3 and a Research Agenda on Interventions

  Citation: 5033

  Authors: Viswanath, Hillol

• A Model of the Antecedents of Perceived Ease of Use: Development and Test

  Citation: 1864

  Authors: Viswanath, Fred D.

• An Instrument for Measuring the Critical Factors of Quality Management

  Citation: 1241

  Authors: Jayant V., P. George, Roger G.

• The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities

  Citation: 1215

  Authors: Christopher W., Jennifer, M. Johnny, Robert B.

• Are Individual Differences Germane to the Acceptance of New Information Technologies?

  Citation: 1187

  Authors: Ritu, Jayesh

• Development and Validation of TQM Implementation Constructs

  Citation: 1095

  Authors: Sanjay L., Damodar Y., Matthew A.

• THE LEARNING CURVE: HISTORICAL REVIEW AND COMPREHENSIVE SURVEY

  Citation: 1073

  Authors: Louis E.

• HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS

  Citation: 1026

  Authors: Fred

• The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies

  Citation: 907

  Authors: Ritu, Jayesh

• The Impact of Quality Management Practices on Performance and Competitive Advantage

  Citation: 839

  Authors: Barbara B., Roger G., Sadao

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