Organizational improvisation and the reduced usefulness of performance measurement BI functionalities

© 2018 Elsevier Inc. Firms are increasingly turning to business intelligence (BI) systems to support their management control activities, while management accounting researchers are increasingly focused on studying beneficial roles of such systems. The extant research focusses on how performance-enhancing effects of BI systems occur via enhanced managerial learning and knowledge creation. The research has however failed to consider how managerial learning and knowledge creation processes can be shaped by fundamental organizational contingencies. This paper ventures into this unexplored space to consider how organizational improvisation may moderate beneficial roles played by BI. We derive the concept of “semi-structuring heuristics” and apply it to theorize that the impact of BI functionalities on performance measurement capabilities is negatively moderated by organizational improvisation. Our hypotheses include two BI constructs (BI-planning functionality and BI-reporting functionality) and two organizational improvisation competences (strategic momentum and organizational flexibility). We test our hypotheses with partial least squares procedures using survey data from 324 top-level managers. We find that BI-planning functionality has a positive effect on performance measurement capabilities that is negatively moderated by both organizational improvisation competences. The only significant effect of BI-reporting functionality is as a positive moderator of the effect of BI-planning functionality. Organizational improvisation competences are quite common and entail managers using only “minimal forms” of performance measurement information. By implication, if the term BI “functionality” connotes usefulness and fitness-for-purpose, then this term appears a misnomer in contexts reliant on organizational improvisation

OncoLog Volume 47, Number 05, May 2002

Tobacco Research and Treatment Progra Studies Include Ways to Prevent and Treat Nicotine Dependence in Special Populations Emergency Center Provides Specialized Care for M. D. Anderson Patients Experiencing Oncologic Emergencies DiaLog: M. D. Anderson\u27s Emergency Center, by Carmelita Escalante, MD, Associate Professor and Ad Interim Chair, Department of General Internal Medicine, Ambulatory Treatment, and Emergency Care House Call: Depression and Cancer Smoking Cessation Studies Blend Computer Technology with Behavioral Therapyhttps://openworks.mdanderson.org/oncolog/1106/thumbnail.jp

OncoLog Volume 49, Number 09, September 2004

New Approaches to Managing Tumors of the Pituitary Gland Offer Patients Hope Needleless Chemotherapy: Safety and Efficacy of Aerosolized Chemotherapy Being Studied in Young Patients with Cancer M. D. Anderson Physician Honored for Inventing an Antimicrobial Catheter That Prevents 25,000 Infection-Related Deaths a Year House Call: How Cancer Happens and Ways to Lower Your Risk DiaLog: Cancer-Related Neuroendocrine Dysfunction, by Rena V. Sellin, MD, Professor, Department of Endocrine Neoplasia and Hormonal Disordershttps://openworks.mdanderson.org/oncolog/1132/thumbnail.jp

Morphological phylogenetics evaluated using novel evolutionary simulations

Evolutionary inferences require reliable phylogenies. Morphological data has traditionally been analysed using maximum parsimony, but recent simulation studies have suggested that Bayesian analyses yield more accurate trees. This debate is ongoing, in part, because of ambiguity over modes of morphological evolution and a lack of appropriate models. Here we investigate phylogenetic methods using two novel simulation models - one in which morphological characters evolve stochastically along lineages and another in which individuals undergo selection. Both models generate character data and lineage splitting simultaneously: the resulting trees are an emergent property, rather than a fixed parameter. Standard consensus methods for Bayesian searches (Mki) yield fewer incorrect nodes and quartets than the standard consensus trees recovered using equal weighting and implied weighting parsimony searches. Distances between the pool of derived trees (most parsimonious or posterior distribution) and the true trees - measured using Robinson-Foulds (RF), subtree prune and regraft (SPR), and tree bisection reconnection (TBR) metrics - demonstrate that this is related to the search strategy and consensus method of each technique. The amount and structure of homoplasy in character data differs between models. Morphological coherence, which has previously not been considered in this context, proves to be a more important factor for phylogenetic accuracy than homoplasy. Selection-based models exhibit relatively lower homoplasy, lower morphological coherence, and higher inaccuracy in inferred trees. Selection is a dominant driver of morphological evolution, but we demonstrate that it has a confounding effect on numerous character properties which are fundamental to phylogenetic inference. We suggest that the current debate should move beyond considerations of parsimony versus Bayesian, towards identifying modes of morphological evolution and using these to build models for probabilistic search methods

The ‘dance’ of life: visualizing metamorphosis during pupation in the blow fly Calliphora vicina by X-ray video imaging and micro-computed tomography

© 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. The attached file is the published version of the article

Productivity, niche availability, species richness, and extinction risk: Untangling relationships using individual-based simulations

It has often been suggested that the productivity of an ecosystem affects the number of species that it can support. Despite decades of study, the nature, extent, and underlying mechanisms of this relationship are unclear. One suggested mechanism is the “more individuals” hypothesis (MIH). This proposes that productivity controls the number of individuals in the ecosystem, and that more individuals can be divided into a greater number of species before their population size is sufficiently small for each to be at substantial risk of extinction. Here, we test this hypothesis using REvoSim: an individual-based eco-evolutionary system that simulates the evolution and speciation of populations over geological time, allowing phenomena occurring over timescales that cannot be easily observed in the real world to be evaluated. The individual-based nature of this system allows us to remove assumptions about the nature of speciation and extinction that previous models have had to make. Many of the predictions of the MIH are supported in our simulations: Rare species are more likely to undergo extinction than common species, and species richness scales with productivity. However, we also find support for relationships that contradict the predictions of the strict MIH: species population size scales with productivity, and species extinction risk is better predicted by relative than absolute species population size, apparently due to increased competition when total community abundance is higher. Furthermore, we show that the scaling of species richness with productivity depends upon the ability of species to partition niche space. Consequently, we suggest that the MIH is applicable only to ecosystems in which niche partitioning has not been halted by species saturation. Some hypotheses regarding patterns of biodiversity implicitly or explicitly overlook niche theory in favor of neutral explanations, as has historically been the case with the MIH. Our simulations demonstrate that niche theory exerts a control on the applicability of the MIH and thus needs to be accounted for in macroecology

Health-state utilities in a prisoner population : a cross-sectional survey

Background: Health-state utilities for prisoners have not been described. Methods: We used data from a 1996 cross-sectional survey of Australian prisoners (n = 734). Respondent-level SF-36 data was transformed into utility scores by both the SF-6D and Nichol's method. Socio-demographic and clinical predictors of SF-6D utility were assessed in univariate analyses and a multivariate general linear model. Results: The overall mean SF-6D utility was 0.725 (SD 0.119). When subdivided by various medical conditions, prisoner SF-6D utilities ranged from 0.620 for angina to 0.764 for those with none/mild depressive symptoms. Utilities derived by the Nichol's method were higher than SF-6D scores, often by more than 0.1. In multivariate analysis, significant independent predictors of worse utility included female gender, increasing age, increasing number of comorbidities and more severe depressive symptoms. Conclusion: The utilities presented may prove useful for future economic and decision models evaluating prison-based health programs