Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Making Units (DMUs). In DEA, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. In traditional DEA models, this measure is also equivalent with relative eciency score which evaluates DMUs in compar...

We develop a theory of organization design in which the firm’s structure is chosen to mitigate moral hazard problems in the selection and the implementation of projects. For a given set of projects, the “divisional structure” which gives each agent the full responsibility over a subset of projects is in general more efficient than the functional structure under which projects are implemented by...

We analyze capital allocation in a conglomerate where divisional managers with uncertain abilities compete for promotion to CEO. A manager can sometimes gain by unobservably adding variance to divisional performance. Capital rationing can limit this distortion, increase productive efficiency, and allow the owner to make more accurate promotion decisions. Firms for which CEO talent is more impor...

Decentralized Capacity Management and Internal Pricing This paper studies the acquisition and subsequent utilization of production capacity in a multi-divisional firm. In a setting where an upstream division provides capacity for itself and a downstream division, our analysis explores whether the divisions should be structured as investmentor profit centers The choice of responsibility centers ...

Users of data envelopment analysis (DEA) often presume efficiency estimates to be robust. While traditional DEA has been exposed to various sensitivity studies, network DEA (NDEA) has so far escaped similar scrutiny. Thus, there is a need to investigate the sensitivity of NDEA, further compounded by the recent attention it has been receiving in literature. NDEA captures the underlying performan...

The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-DEA) in commercial banking with emphasis on testing robustness. To this end, sixteen foreign banks in China are benchmarked against thirty-two domestic banks for the post-2007 period that follows major reforms. When network and dynamic dimensions are brought together, a more comprehensive analysis...

In this paper we test the hypothesis that organizational structure, and the history of that structure, influences mutual workload awareness. More specifically, we explored the congruence of workload awareness among a number of decision makers acting in two organizational structures (functional vs. divisional) with different histories (divisional followed by functional vs. functional followed by...

In this study, we aimed to explore the radio-sensitization of the SHG44 glioma cell line by Aidi injection and the possible mechanisms involved. The growth curve, cloning efficiency and divisional index of the SHG44 cell line were observed. The inhibition ratio was determined by MTT assay, the change in the cell cycle was analyzed by flow cytometry and the expression of cyclin B1 and Wee1 was d...

How can tissues generate large numbers of cells, yet keep the divisional load (the number of divisions along cell lineages) low in order to curtail the accumulation of somatic mutations and reduce the risk of cancer? To answer the question we consider a general model of hierarchically organized self-renewing tissues and show that the lifetime divisional load of such a tissue is independent of t...

For over three decades, the benefits of focus have been touted under the guiding principle that dedicated attention to a small set of linked tasks improves operating performance. Numerous studies have suggested that the performance of a division, plant, or business unit is improved to the extent that it remains focused on a narrow range of activities. Others have found similar benefits associat...