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The Journal of Operations Management is a peer-reviewed academic journal covering research on all aspects of operations management. It was established in 1980 and is published by Wiley on behalf of the Association for Supply Chain Management .
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.
The SJR indicator is a free journal metric inspired by, and using an algorithm similar to, PageRank. The SJR indicator computation is carried out using an iterative algorithm that distributes prestige values among the journals until a steady-state solution is reached. The SJR algorithm begins by setting an identical amount of prestige to each ...
The values for Nature journals lie well above the expected ca. 1:1 linear dependence because those journals contain a significant fraction of editorials. CiteScore was designed to compete with the two-year JCR impact factor, which is currently the most widely used journal metric. [7] [8] Their main differences are as follows: [9]
The simplest journal-level metric is the journal impact factor, the average number of citations that articles published by a journal in the previous two years have received in the current year, as calculated by Clarivate. Other companies report similar metrics, such as the CiteScore, based on Scopus.
Production and Operations Management is a monthly peer-reviewed academic journal covering research on all aspects of operations management, production management, management science, supply chain management, and manufacturing engineering. It is published by Wiley-Blackwell on behalf of the Production and Operations Management Society.
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound.