26 research outputs found

    Gender Disparity in Professional City Management: Making the Case for Enhancing Leadership Curriculum

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    Professionally trained administrators are critical to the operation and management of governmental agencies. That is particularly true with respect to local government, where city managers are situated at the top of the organizational hierarchy. However, these senior management positions remain largely the domain of males; female represent just 12% of the positions. This disparity, for reasons still unclear, comes to the fore at a time when the field of public administration faces a new set of global challenges, and many in the field have expressed concern about a looming leadership gap. As the world of public administration changes, so must the teaching of the subject, driven by specific areas of inquiry, including why more women do not attain senior executive positions. Using national postsecondary enrollment data, this article demonstrates that the underrepresentation of females among city managers cannot be explained by a shortage of women with professional training. The central conclusion of this research is that professional training programs can better prepare women for the new world of public administration by making gender more visible within the leadership curriculum

    Playing the external market : efficiency wage as a means for strategic compensation in the public sector

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    Includes bibliographical references (pages [131]-139).This research focused on the development of a model that predicts improved organizational outcomes associated with higher wage rates or, more narrowly, efficiency wages. The model is premised on efficiency wage theory, namely, that higher wages will translate into improved service quality, lower turnover or quit rates, fewer employee accountability control mechanisms, and, ultimately, lower wage costs. Through an empirical analysis involving municipalities located throughout the Chicago suburban metropolitan area (SMA), the major theoretical underpinnings associated with efficiency wage theory were tested. Two separate written survey instruments were distributed to municipalities in the Chicago SMA: a salary and fringe benefits survey and a reputational service quality questionnaire. Generally speaking, the surveys provided a broad array of quantifiable data pertaining to a municipality’s pay strategy, current wage levels, and perceived level of performance. In addition, a case study analysis demonstrating how an actual efficiency wage system functions in a publicsector organization was conducted. The findings of this research indicate that efficiency wage rates are a significant predictor of increased reputational service quality. Municipal size (population) and affluence (per capita income) were also found to be associated with service quality. In addition, higher wages were found to be a significant predictor of wage costs per employee; however, this relationship was not in the expected direction. No definitive evidence was found in support of the hypotheses regarding accountability control mechanisms. One implication of this research is that highly regarded municipalities may be able to leverage their reputation as a tool for increasing economic development or attracting more affluent residents to the community. Municipalities may also be able to use their reputation as a vehicle for attracting and retaining employees to the organization. This research concludes with a discussion of the future of public-sector compensation and the potential for a model based on efficiency wage rates to be utilized in pursuit of improved organizational outcomes. A research agenda for following up on what has already been completed is also provided.Ph.D. (Doctor of Philosophy

    Demand Versus Supply: Assessing the Capacity of MPA Programs to Satisfy the Growing Need for Professional Management in Local Government

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    This article addresses concerns expressed by members of the International City/ County Management Association (ICMA) regarding whether the supply of qualified local government managers will keep pace with the future demand for this occupation. The authors developed several important observations, which are based on decades of experience with a Master of Public Administration (MPA) program focused on local government management, plus strategic planning experience in over 100 local governments. First, it is likely that the impending retirement of the Baby Boom generation of city managers will cause some supply shortages of professional managers in specific geographical regions of the country. Second, increases in the number of professionally managed cities creates the probability that some municipalities, due to their lack of associational attractiveness, may experience difficulty in generating sufficient pools of quality applicants. We suggest that MPA programs continue to nurture communication and relationships with local governments that will lead to specific mutual benefits. For instance, MPA programs benefit from the availability of practitioner speakers and student internships and, in turn, local governments benefit from the creation of a pipeline that provides a continual stream of quality applications

    Anchors aweigh: the sources, variety, and challenges of mission drift

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    The growing number of studies which reference the concept of mission drift imply that such drift is an undesirable strategic outcome related to inconsistent organizational action, yet beyond such references little is known about how mission drift occurs, how it impacts organizations, and how organizations should respond. Existing management theory more broadly offers initial albeit equivocal insight for understanding mission drift. On the one hand, prior studies have argued that inconsistent or divergent action can lead to weakened stakeholder commitment and reputational damage. On the other hand, scholars have suggested that because environments are complex and dynamic, such action is necessary for ensuring organizational adaptation and thus survival. In this study, we offer a theory of mission drift that unpacks its origin, clarifies its variety, and specifies how organizations might respond to external perceptions of mission drift. The resulting conceptual model addresses the aforementioned theoretical tension and offers novel insight into the relationship between organizational actions and identity

    Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

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    While germline copy-number variants (CNVs) contribute to schizophrenia (SCZ) risk, the contribution of somatic CNVs (sCNVs)—present in some but not all cells—remains unknown. We identified sCNVs using blood-derived genotype arrays from 12,834 SCZ cases and 11,648 controls, filtering sCNVs at loci recurrently mutated in clonal blood disorders. Likely early-developmental sCNVs were more common in cases (0.91%) than controls (0.51%, p = 2.68e−4), with recurrent somatic deletions of exons 1–5 of the NRXN1 gene in five SCZ cases. Hi-C maps revealed ectopic, allele-specific loops forming between a potential cryptic promoter and non-coding cis-regulatory elements upon 5′ deletions in NRXN1. We also observed recurrent intragenic deletions of ABCB11, encoding a transporter implicated in anti-psychotic response, in five treatment-resistant SCZ cases and showed that ABCB11 is specifically enriched in neurons forming mesocortical and mesolimbic dopaminergic projections. Our results indicate potential roles of sCNVs in SCZ risk

    Motivating Public Service Employees in the Era of the New Normal

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    Public Human Resource Management: Problems and Prospects brings together exemplary contributors who provide concise essays on major contemporary public human resources management issues. Organized into four parts – setting, techniques, issues and prospects – and covering the major process, function and policy issues in the field, the text offers valuable wisdom to students and practitioners alike. With sixteen new and eleven updated chapters authored by the leading figures in the field as well as by up-and-coming new scholars, the new edition works as a primary or supplementary text for courses in human resource management or issues in public administration

    Of Politics, Self-Preservation, and Symbolism: An Investigation of Jurisdiction-Stripping and Legislative Redistricting

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    Jurisdiction-stripping has long been a questionable component of Congress\u27s power to supervise the judiciary\u27s policymaking role. It has gained notoriety in recent debates surrounding judicial involvement in areas including religious establishment and privacy issues such as abortion and same-sex marriage. Most scholarship equates the advocacy of jurisdiction-stripping measures with symbolic position-taking that is unmotivated by the goal of traditional policy success. This work, a quantitative case study of the first such measure to pass the House of Representative since Reconstruction, seeks to isolate legislative motivations for exerting jurisdictional controls against the Supreme Court. Legislators’ votes on this measure were multifaceted. While those decisions were guided in part by the symbolic and representational considerations that traditionally underlie the advocacy of such legislation, there is also evidence more substantive motivations played a part. The study highlights the evolving objectives of jurisdiction-stripping\u27s advocates and, more broadly, Congress\u27s objectives vis-à-vis the courts

    A Metabolomic Approach for Predicting Diurnal Changes in Cortisol

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    Introduction: The dysregulation of cortisol secretion has been associated with a number of mental health and mood disorders. However, diagnostics for mental health and mood disorders are behavioral and lack biological contexts. Objectives: The goal of this work is to identify volatile metabolites capable of predicting changes in total urinary cortisol across the diurnal cycle for long-term stress monitoring in psychological disorders. Methods: We applied comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry to sample the urinary volatile metabolome using an untargeted approach across three time points in a single day for 60 subjects. Results: The finalized multiple regression model includes 14 volatile metabolites and 7 interaction terms. A review of the selected metabolites suggests pyrrole, 6-methyl-5-hepten-2-one and 1-iodo-2-methylundecane may originate from endogenous metabolic mechanisms influenced by glucocorticoid signaling mechanisms. Conclusion: This analysis demonstrated the feasibility of using specific volatile metabolites for the prediction of secreted cortisol across time

    Addressing Missing Data in GC×GC Metabolomics: Identifying Missingness Type and Evaluating the Impact of Imputation Methods on Experimental Replication

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    Missing data is a significant issue in metabolomics that is often neglected when conducting data pre-processing, particularly when it comes to imputation. This can have serious implications for downstream statistical analyses and lead to misleading or uninterpretable inferences. In this study, we aim to identify the primary types of missingness that affect untargeted metabolomics data and compare strategies for imputation using two real-world comprehensive two-dimensional gas chromatog-raphy (GC×GC) data sets. We also present these goals in the context of experimental replication whereby imputation is conducted in a within-replicate-based fashion—the first description and evaluation of this strategy—and introduce an R package MetabImpute to carry out these analyses. Our results conclude that, in these two data sets, missingness was most likely of the missing at-random (MAR) and missing not-at-random (MNAR) types as opposed to missing completely at-random (MCAR). Gibbs sampler imputation and Random Forest gave the best results when imputing MAR and MNAR compared against single-value imputation (zero, minimum, mean, median, and half-minimum) and other more sophisticated approach-es (Bayesian principal components analysis and quantile regression imputation for left-censored data). When samples are replicated, within-replicate imputation approaches led to an increase in the reproducibility of peak quantification compared to imputation that ignores replication, suggesting that imputing with respect to replication may preserve potentially important features in downstream analyses for biomarker discovery

    Longitudinal Associations of the Cystic Fibrosis Airway Microbiome and Volatile Metabolites: A Case Study.

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    The identification of 16S rDNA biomarkers from respiratory samples to describe the continuum of clinical disease states within persons having cystic fibrosis (CF) has remained elusive. We sought to combine 16S, metagenomics, and metabolomics data to describe multiple transitions between clinical disease states in 14 samples collected over a 12-month period in a single person with CF. We hypothesized that each clinical disease state would have a unique combination of bacterial genera and volatile metabolites as a potential signature that could be utilized as a biomarker of clinical disease state. Taxonomy identified by 16S sequencing corroborated clinical culture results, with the majority of the 109 PCR amplicons belonging to the bacteria grown in clinical cultures (Escherichia coli and Staphylococcus aureus). While alpha diversity measures fluctuated across disease states, no significant trends were present. Principle coordinates analysis showed that treatment samples trended toward a different community composition than baseline and exacerbation samples. This was driven by the phylum Bacteroidetes (less abundant in treatment, log2 fold difference −3.29, p = 0.015) and the genus Stenotrophomonas (more abundant in treatment, log2 fold difference 6.26, p = 0.003). Across all sputum samples, 466 distinct volatile metabolites were identified with total intensity varying across clinical disease state. Baseline and exacerbation samples were rather uniform in chemical composition and similar to one another, while treatment samples were highly variable and differed from the other two disease states. When utilizing a combination of the microbiome and metabolome data, we observed associations between samples dominated Staphylococcus and Escherichia and higher relative abundances of alcohols, while samples dominated by Achromobacter correlated with a metabolomics shift toward more oxidized volatiles. However, the microbiome and metabolome data were not tightly correlated; examining both the metagenomics and metabolomics allows for more context to examine changes across clinical disease states. In our study, combining the sputum microbiome and metabolome data revealed stability in the sputum composition through the first exacerbation and treatment episode, and into the second exacerbation. However, the second treatment ushered in a prolonged period of instability, which after three additional exacerbations and treatments culminated in a new lung microbiome and metabolome
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