Public sector managers: the decision to leave or remain in a job

The public sector faces a grave problem as far as managerial retention as the result of the increasing number of retirements and of voluntary resignations. Despite the vital interest in managerial turnover in the public sector, research is scarce. This study, which increases our understanding of why public sector managers leave their positions, takes a qualitative and narrative research approach in examining voluntary turnover. Interviews were conducted with operations managers (in education, social care, and technical activities) at three Swedish municipalities. We identify a multitude of environment push and pull factors with a focus on administrative support, supervisory support and illegitimate tasks. The narratives of managerial turnover reveal the complexity of the decision to leave or remain in a job, containing a mixture of push and pull factors, negative feelings, unmet expectations and extraordinary events. Three possible HRD actions to decrease undesirable managerial turnover are identified: re-work organizational structures; re-model job characteristics; and re-examine managerial turnover decisions as a long and complex process. Our hope is that the findings are used for ultimately create healthy organizations.     

Evaluating qualitative management research: Towards a contingent criteriology

The term qualitative management research embraces an array of non‐statistical research practices. Here it is argued that this diversity is an outcome of competing philosophical assumptions which produce distinctive research perspectives and legitimate the appropriation of different sets of evaluation criteria. Some confusion can arise when evaluation criteria constituted by particular philosophical conventions are universally applied to this heterogeneous management field. In order to avoid such misappropriation, this paper presents a first step towards a contingent criteriology located in a metatheoretical analysis of three modes of qualitative management research which are compared with the positivist mainstream to elaborate different forms of evaluation. It is argued that once armed with criteria that vary accordingly, evaluation can reflexively focus upon the extent to which any management research consistently embraces the particular methodological principles that are sanctioned by its a priori philosophical commitments.     

Discount Rates in Risk Versus Money and Money Versus Money Tradeoffs

We use data from a survey of residents of five Italian cities conducted in late spring 2004 to estimate the discount rates implicit in (1) money versus future risk reductions and (2) money versus money tradeoffs. We find that the mean personal discount rate is 0.3-1.7% in (1) and 8.7% in (2). The latter is lower than the discount rates estimated in comparable situations in many recent studies, greater than market interest rates in Italy at the time, and exhibits modest variation with age and gender. The discount rate implicit in money versus risk tradeoffs is within the range of estimates from studies in the United States and Europe, and does not depend on observable individual characteristics. We use split samples to investigate whether a completely abstract risk reduction - one where the risk reduction delivery has been stripped of all specifics, so that respondents should focus on the risks without being distracted by details - results in WTP and discount figures comparable to those from an identified delivery mechanism (a medical test). We find that while WTP for an immediate risk reduction is 42-73% higher with the abstract risk reduction, the discount rate in the money versus risk tradeoffs and the variance of the error term in the WTP equation are the same across the two variants of the questionnaire.     

On the Complexity of Constructing Evolutionary Trees

In this paper we study a few important tree optimization problems with applications to computational biology. These problems ask for trees that are consistent with an as large part of the given data as possible. We show that the maximum homeomorphic agreement subtree problem cannot be approximated within a factor of , where N is the input size, for any 0 in polynomial time unless P = NP, even if all the given trees are of height 2. On the other hand, we present an O(N log N)-time heuristic for the restriction of this problem to instances with O(1) trees of height O(1) yielding solutions within a constant factor of the optimum. We prove that the maximum inferred consensus tree problem is NP-complete, and provide a simple, fast heuristic for it yielding solutions within one third of the optimum. We also present a more specialized polynomial-time heuristic for the maximum inferred local consensus tree problem.     

Testing symmetry under a skew Laplace model

We develop tests of hypothesis about symmetry based on samples from possibly asymmetric Laplace distributions and present exact and limiting distribution of the test statistics. We postulate that the test statistic derived under the Laplace model is a rational choice as a measure of skewness and can be used in testing symmetry for other, quite general classes of skew distributions. Our results are applied to foreign exchange rates for 15 currencies.     

Model selection using information criteria under a new estimation method: least squares ratio

In this study, we evaluate several forms of both Akaike-type and Information Complexity (ICOMP)-type information criteria, in the context of selecting an optimal subset least squares ratio (LSR) regression model. Our simulation studies are designed to mimic many characteristics present in real data – heavy tails, multicollinearity, redundant variables, and completely unnecessary variables. Our findings are that LSR in conjunction with one of the ICOMP criteria is very good at selecting the true model. Finally, we apply these methods to the familiar body fat data set.     

Masking methods that preserve positivity constraints in microdata

Statistical agencies have conflicting obligations to protect confidential information provided by respondents to surveys or censuses and to make data available for research and planning activities. When the microdata themselves are to be released, in order to achieve these conflicting objectives, statistical agencies apply statistical disclosure limitation (SDL) methods to the data, such as noise addition, swapping or microaggregation. Some of these methods do not preserve important structure and constraints in the data, such as positivity of some attributes or inequality constraints between attributes. Failure to preserve constraints is not only problematic in terms of data utility, but also may increase disclosure risk.In this paper, we describe a method for SDL that preserves both positivity of attributes and the mean vector and covariance matrix of the original data. The basis of the method is to apply multiplicative noise with the proper, data-dependent covariance structure.     

Governance Structures,Coordination Mechanisms and Cognitive Models

This paper criticizes the current prevailing ways ofmodelling governance alternatives, and advocates theopportunity and feasibility of a reconceptualizationof governance forms as mixes or configurations ofsimpler and potentially disentangleablecomponents. These components are constituted by abundle of property rights and by a set of coordinationmechanisms. The paper draws on a previous effort atintegrating economic, organizational and sociologicaltheories of governance in a cognitive perspective(Grandori 1995a) and explicitates how some cognitivefoundations of organization theory can be revised tosustain a more fine-grained view of governance. Theimplications for organization design are illustratedin the final section through the solution of someempirical design problems, as well as through areinterpretation of known hybrid arrangements.     

Engaging stakeholders through social networking: How nonprofit organizations are using Facebook

Since social networking sites, such as MySpace and Facebook, began allowing organizations to create profiles and become active members, organizations have started incorporating these strategies into their public relations programming. For-profit organizations have used these sites to help launch products and strengthen their existing brands; however, little is known about how nonprofit organizations are taking advantage of the social networking popularity. Through a content analysis of 275 nonprofit organization profiles on Facebook, this study examines how these new social networking sites are being used by the organizations to advance their organization's mission and programs. Solely having a profile will not in itself increase awareness or trigger an influx of participation. Instead careful planning and research will greatly benefit nonprofits as they attempt to develop social networking relationships with their stakeholders.     

Variation in part‐time job quality within the nonprofit human service sector

This article extends the growing literature on the quality of part‐time employment to the domain of nonprofit human services, specifically grassroots organizations in which paid work is itself a relatively new reality. It addresses three central questions: How do part‐time and full‐time workers differ in their personal and household characteristics? How do part‐time jobs differ in access to employment benefits from their full‐time counterparts; and finally, How does benefits access vary among part‐time job titles? These lines of inquiry are examined using data from the populations of nonprofit domestic violence programs and their employees in a large midwestern metropolitan area. Analyses of worker‐level data reveal that part‐time workers in these settings disproportionately live with children, are in committed relationships, and report a strong preference for employment that facilitates work‐life balance; they are also less likely to be primary household wage earners. Analyses at the level of jobs suggest that employment benefits extended to part‐time jobs are minimal compared to their full‐time equivalents, but there are also striking variations among different part‐time titles. The results offer insights into the nature of part‐time work in these nonprofit human service settings and potential challenges for effective management.