Scientific indicators of productivity: time for action

Malmquist Productivity Index for Multi Time Periods

   The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this pape...

Research output indicators are not productivity indicators

Action indicators for injury prevention.

There is considerable confusion about the nature of indicators, their use in the injury field and surprisingly little discussion about these important tools. To date discussions of injury indicators have focused on the content and presentation of health outcome measures and on the dearth of data on exposure measures. Whereas these are valuable measures and assessing the optimal use of available...

The evaluation of scientific productivity.

The paper examines the evaluation of scientific productivity. It analyzes the metrification of the evaluation of scientific production, as well as the historical construction, and current uses of scientific evaluation. It argues that this process contains a paradox: the more that metrics become impersonal, the less they are recognized by scientists. The study is divided into five sections: cont...

The skewness of scientific productivity

This paper exploits a unique 2003-2011 large dataset, indexed by Thomson & Reuters, consisting of 17.2 million disambiguated authors classified into 30 broad scientific fields, as well as the 48.2 million articles resulting from a multiplying strategy in which any article co-authored by two or more persons is wholly assigned as many times as necessary to each of them. We measure individual prod...