Estimating large-scale general linear and seemingly unrelated regressions models after deleting observations

A new numerical method to solve the downdating problem (and variants thereof), namely removing the effect of some observations from the generalized least squares (GLS) estimator of the general linear model (GLM) after it has been estimated, is extensively investigated. It is verified that the solution of the downdated least squares problem can be obtained from the estimation of an equivalent GLM, where the original model is updated with the imaginary deleted observations. This updated GLM has a non positive definite dispersion matrix which comprises complex covariance values and it is proved herein to yield the same normal equations as the downdated model. Additionally, the problem of deleting observations from the seemingly unrelated regressions model is addressed, demonstrating the direct applicability of this method to other multivariate linear models. The algorithms which implement the novel downdating method utilize efficiently the previous computations from the estimation of the original model. As a result, the computational cost is significantly reduced. This shows the great usability potential of the downdating method in computationally intensive problems. The downdating algorithms have been applied to real and synthetic data to illustrate their efficiency.     

Making Professional Decisions in Research: Measurement and Key Predictors

The professional decision-making in research (PDR) measure was administered to 400 National Institutes of Health (NIH)-funded and industry-funded investigators, along with measures of cynicism, moral disengagement, compliance disengagement, impulsivity, work stressors, knowledge of responsible conduct of research (RCR), and socially desirable response tendencies. Negative associations were found for the PDR and measures of cynicism, moral disengagement, and compliance disengagement, while positive associations were found for the PDR and RCR knowledge and positive urgency, an impulsivity subscale. PDR scores were not related to socially desirable responding, or to measures of work stressors and the remaining impulsivity subscales. In a multivariate logistic regression analysis, lower moral disengagement scores, higher RCR knowledge, and identifying the United States as one’s nation of origin emerged as key predictors of stronger performance on the PDR. The implications of these findings for understanding the measurement of decision-making in research and future directions for research and RCR education are discussed.     

Female Perceptions of Organizational Justice

This study examines women's conceptualization of the pervasive construct of organizational justice. A comprehensive four factor model was used to represent organizational justice while outcome variables were the important employee attitudes of job satisfaction, organizational commitment and turnover intentions. Structural equation modelling was used to analyse responses from 301 male and 147 female respondents. Differences were found for procedural, interpersonal and informational justices. It would appear female and male employees have differing responses to perceptions of justice. Justice had a diffuse effect for males, but not for females. For men, interpersonal justice predicted an increase in organizational commitment while procedural justice predicted a decrease in turnover intentions. For female employees, informational justice was found to increase commitment and reduce turnover intentions. The study highlights the need for all justice factors to be considered and for sex differences to be considered in future justice research.     

Enacting reflective and deliberative practices in action research

ABSTRACT

We consider action research as a form of deliberative policy analysis. This analysis explores a “reconstruction clinic” in which stakeholders and public officials engaged memories, hopes and obligations as they sought to resolve controversies over details of policy implementation. We ask how institutional design shaped participants’ reflective and deliberative progress. Reflection in action can prompt not only changes in cognitive frames, but new behavioural capacities for action. Deliberative practices can shape new relationships between parties through the work of apology, recognition, appreciation, and emergent collaboration.     

Countering Overseas Power in Global Value Chains: Information Asymmetries and Subcontracting in the Plastics Industry

Resource Dependency Theory (RDT) and Global Value Chain (GVC) analysis have been deployed in the strategic and international management literatures to address questions of power in dyadic relationships and global production networks, respectively. This paper integrates the two theoretical approaches in order to expand RDT, using insights from Hirschman's exit/voice model to show the options available to some firms but not others. Using the relationship between buyers and contract manufacturers from GVC analysis, we find a correlation between firm size and choice of strategic action in response to contract manufacturers' dependence on buyers. Large firms follow an acquiescence strategy while small manufacturers follow an avoidance strategy, able to use both exit and voice strategies. Enabled by scale or control over information, both of these approaches successfully reduce uncertainty and provide a source of sustained competitive advantage. Using a study of the production chain in consumer plastics manufacturing in China, we show how dependent firms respond to GVC induced pressure. We find that based on the size of the contract manufacturer, the range of strategic responses to power is constrained by the nature of the dependency in global value chains. This opens important insights into the role that structural characteristics of organizations (like size) play in determining strategic freedom.