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International Journal of Information and Decision Sciences is a peer-reviewed journal published by Inderscience, covering Multi-Criteria Decision Making, Efficiency Analysis Using DEA, Big Data and Business Intelligence.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Information and Decision Sciences, 12(3), pp. 45–58.
Formats any DOI in International Journal of Information and Decision Sciences style. No sign-up. |
| Publishes research in | Multi-Criteria Decision Making Efficiency Analysis Using DEA Big Data and Business Intelligence Supply Chain and Inventory Management Technology Adoption and User Behaviour |
| ISSN | 1756-7017 |
| Citation impact (2-yr) | 0.42 |
| h-index | 20 |
| i10-index | 63 |
| Total citations | 2,539 |
| Top institutions publishing here | University of Science and Technology of China |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Decision tree classifier (DTC) is one of the well-known methods for data classification. The most significant feature of DTC is its ability to change the complicated decision making problems into simple processes, thus finding a solution which is understandable and easier to interpret. This paper provides a brief review on various algorithms developed in literature…
The goal of this paper is to research empirically the role of social media in consumers' decision-making process for complex purchases - those characterised by significant brand differences, high consumer involvement and risk, and which are expensive and infrequent. The model uses the information search, alternative evaluation, and purchase decision stages from the classical EBM…
Data normalisation is essential for decision-making methods because data has to be numerical and comparable to be aggregated into a single score per alternative. In multi-criteria decision-making (MCDM), normalisation must convert criteria values into a common scale, thus, enabling rating and ranking of alternatives. Therefore, it is a challenge to select a suitable normalisation technique…
The goal of this paper is to research empirically the role of social media in consumers' decision-making process for complex purchases - those characterised by significant brand differences, high consumer involvement and risk, and which are expensive and infrequent. The model uses the information search, alternative evaluation, and purchase decision stages from the classical EBM…
The existing models utilise a mean value approach with deterministic failure cost to determine the optimal number of suppliers in the presence of supplier failure risks. The mean value approach assumes, the firm has a linear utility function with respect to the supply disruptions. For major disruptions that could threaten the survival of the firm,…
