International Journal of Information and Decision Sciences

Aims & Scope

In today's fast-paced business environment, even with an abundance of information, decision-making can be complex and slow.

As floods of data emerge, effective information processing is sought as a panacea.

With the ever-present spectre of uncertainty, sound decisions are key.

As a consequence of the various conflicts/dilemmas, employment of efficient data management leading to better decision-making is the goal.

Organisations must employ effective information management/decision-making processes at each critical stage of their functions.

IJIDS addresses the issues involved in this.

Topics covered include: -AHP or DEA -Behavioural sciences, psychology, sociology -Business intelligence, economics -Computing and decision sciences, data-driven decision making -Decision making in social setting, under uncertainty, with multimedia -Decision support systems/software -Decision theory, decision trees, MCDM -Ethical decision making, group decision making, software -Fuzzy information processing, game theory, grid analysis, informatics, IT -Intelligent agent technologies, neural networks, OLAP -Knowledge discovery in databases, web search, scenario/system analysis -Mathematics of decision sciences, decision making methods/styles -Perspectives of decision making, robust decisions, morphological analysis -Political/public decision making -Risk management, statistics

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	23639

Journal Citation Indicator

Year	Value
2024	35

SJR (SCImago Journal Rank)

Year	Value
2024	0.162

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	18

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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, Computer Science 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.

• Impact of social media on consumer behaviour

  Citation: 126

  Authors: Duangruthai, Leslie

• Decision tree classifier: a detailed survey

  Citation: 123

  Authors: N.A., Dharmender

• Data normalisation techniques in decision making: case study with TOPSIS method

  Citation: 78

  Authors: Nazanin, Rita A., Luis M. Camarinha

• Supply Chain Risk Management

  Citation: 27

  Authors: Thomas Yew Sing

• Coordination of a supply chain with a loss-averse retailer under two types of contracts

  Citation: 26

  Authors: Kuiran, Tiaojun

• One-shot decision approach and its application to duopoly market

  Citation: 21

  Authors: Peijun

• The application of intelligent and soft-computing techniques to software engineering problems: a review

  Citation: 17

  Authors: Ramakanta, Vadlamani, Manas Ranjan

• An Analytical Hierarchical Process-based decision-making approach for selecting car-sharing stations in medium size agglomerations

  Citation: 17

  Authors: Anjali, Satyaveer S., Xavier, Dominique

• A hybrid MCDM approach for evaluating an automobile purchase model

  Citation: 16

  Authors: G., M., G., A., P.M., J.

• Loss-averse newsvendor problem with general profit target

  Citation: 15

  Authors: Lijun

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