19. ABSTRACT (Continue on reverse if necessary and identify by block number) This study develops a model for measuring productivity in a large scale systems acquisition and development agency within the Department of Defense using the Analytic Hierarchy Process (AHP). Fourteen objective factors were identified and weighted to develop the relative importance of the primary determinants of produc...

The data envelopment analysis (DEA) technique is well known for computing the Malmquist-Luenberger productivity index (MLPI) in measuring change decision-making units (DMUs) over two consecutive periods. In this research, we detect infeasibility of directional distance function (DDF) based DEA model MLPI under variable returns to scale technology when takes on negative values. We address proble...

When considering the linkage between innovation and productivity, the relationship is often termed as the knowledge production function in the endogenous growth literature. In this article, we approach the issues involved through the aspects of the standard neoclassical production theory. The advantage is that the basic properties required of ordinary production function can be employed to infe...

When considering the linkage between innovation and productivity, the relationship is often termed as the knowledge production function in the endogenous growth literature. In this article, we approach the issues involved through the aspects of the standard neoclassical production theory. The advantage is that the basic properties required of ordinary production function can be employed to infe...

Abstract We present an optimal control model to simultaneously determine the planting density, thinning schedules, harvest age, and revenues of even-aged longleaf pine ( Pinus palustris Mill) stand, iconic species in Southeastern United States. assume that forest stand is managed for timber production carbon sequestration under different site indexes—a measurement potential productivity. Our si...

Enhancing the economic and environmental efficiency of municipal solid waste (MSW) management is crucial for transitioning to a circular economy achieving cost-efficient sustainable practices. In this study, we introduce an innovative approach examine influence MSW recycling on performance over multiple years. We employ non-parametric method assess compare Malmquist Productivity Index (MPI) Mal...

Parametric methods for science and technology evaluation are frequently rejected because evaluators prefer a subjective approach, usually achieved through peer review analysis. This paper takes a complementary approach to classify research activities by means of machine learning systems. We propose the use of a non-supervised neural network in the building of a ranking of Brazilian research gro...