Co-operative explanatory capabilities in organizational design and personnel management

Based on an online image archive documenting the construction and history of an early computing company, the fictional story of "Co-Operative Explanatory Capabilities in Organizational Design and Personnel Management” follows the development of an experimental approach to worker productivity into a religious cult. The project investigates the place of creativity in efficiency management and the operation of bureaucratic systems in a post-industrial work environment. The project has spawned a series of collages, featured on the Economic Thought Projects 7" collaboration with Gelbart, The Eleventh Voyage, as well as the film of Co-Operative Explanatory Capabilities in Organizational Design and Personnel Management, which has also been published as a short story in Vertigo of the Modern and on Sacrifice Press.

Bayesian ranking and slection of fishing boat efficiencies

The steadily accumulating literature on technical efficiency in fisheries attests to the importance of efficiency as an indicator of fleet condition and as an object of management concern. In this paper, we extend previous work by presenting a Bayesian hierarchical approach that yields both efficiency estimates and, as a byproduct of the estimation algorithm, probabilistic rankings of the relative technical efficiencies of fishing boats. The estimation algorithm is based on recent advances in Markov Chain Monte Carlo (MCMC) methods— Gibbs sampling, in particular—which have not been widely used in fisheries economics. We apply the method to a sample of 10,865 boat trips in the US Pacific hake (or whiting) fishery during 1987–2003. We uncover systematic differences between efficiency rankings based on sample mean efficiency estimates and those that exploit the full posterior distributions of boat efficiencies to estimate the probability that a given boat has the highest true mean efficiency.