Performance implications of knowledge and competitive arousal in times of employee mobility: “The immutable law of the ex”

This article elaborates on extant literature on employee mobility by focusing on how the movement of personnel between competitors affects their competitive positions. Our mixed‐methods study of 402 head‐to‐head encounters from the English Premier League (2000–2005) reveals that transferred players improve the performance of the recipient team in head‐to‐head encounters against the donor. We also provide evidence that competitive arousal, as triggered by anger and pressures for proving loyalty to the recipient organization, as well as knowledge of the donor team's routines, explain the superior performance of transferred players. These results question the traditional view that organizational routines are not transferable through employee mobility. They also move beyond a prior emphasis on the negative effects of emotional states such as anger and competitive arousal, highlighting how these can occasionally be beneficial. © 2012 Wiley Periodicals, Inc.     

Child maturation, time-invariant, and time-varying inputs: their interaction in the production of child human capital

We model the relationship over time between multiple good and bad inputs to the child development production process and the multiple good and bad outcomes which are generated. Doing this avoids several well-known empirical problems associated with construction and use of aggregated inputs and outputs, the assumption of separability among inputs and outputs, and the estimation of reduced forms. Using time-demeaned data for a balanced panel of families from the National Longitudinal Survey of Youth?CChild Sample for 1994?C2000, we estimate an output-oriented directional distance function that simultaneously relates good and bad inputs from home, school, and environment, to good and bad outcomes, measured as children??s math and reading test scores as well as parent-reported behavior problems. We are able for the first time to compute partial effects among endogenous outputs. Recovering consistent estimates of time-invariant coefficients using a second-stage estimator, we find that some time-invariant variables are significant. We also measure productivity growth, technical change, efficiency change, and technical efficiency. Children??s productivity growth is highest at age 5?years and diminishes thereafter. Finally, we investigate the effect on these estimates of the choice of alternative direction vectors for the good and bad outputs.     

The Moderating Impact of Family Role Configurations

This study examines the impact of across domain social support, work-family conflict (WFC) and job satisfaction, and explores the influence of family role allocations among these relationships. Family roles include breadwinner and caregiver. Direct effects were found for two types of support and both WFC and job satisfaction. Additionally, results provided some evidence that family roles moderated the support-outcome relationship, particularly for caregivers. The research and practical implications, as well as limitations of this study are discussed.     

Performance evaluation of National Football League teams

Most recent empirical analyses of production in the sports economic literature have focused on Major League Baseball. This paper extends that literature by analysing football production in the National Football League (NFL). Using the Poisson regression model, we measure the performance of NFL teams and head coaches. The measure is based on a production process where player skills are converted into games won. The evidence reveals that quality coaching is an important component in the production process. It appears that efficient coaching can account for an additional three to four victories in a given season. Copyright © 2000 John Wiley & Sons, Ltd.     

Buyer perceptions of supply disruption risk: A behavioral view and empirical assessment

As supply chains become more complex, firms face increasing risks of supply disruptions. The process through which buyers make decisions in the face of these risks, however, has not been explored. Despite research highlighting the importance of behavioral approaches to risk, there is limited research that applies these views of risk in the supply chain literature. This paper addresses this gap by drawing on behavioral risk theory to investigate the causal relationships amongst situation, representations of risk, and decision-making within the purchasing domain. We operationalize and explore the relationship between three representations of supply disruption risk: magnitude of supply disruption, probability of supply disruption, and overall supply disruption risk. Additionally, we draw on exchange theories to identify product and market factors that impact buyers’ perceptions of the probability and magnitude of supply disruption. Finally, we look at how representations of risk affect the decision to seek alternative sources of supply. We test our model using data collected from 223 purchasing managers and buyers of direct materials. Our results show that both the probability and the magnitude of supply disruption are important to buyers’ overall perceptions of supply disruption risk. We also find that product and market situational factors impact perceptions of risk, but they are best understood through their impact on perceptions of probability and magnitude. Finally, we find that decisions are based on assessments of overall risk. These findings provide insight into the decision-making process and show that all three representations of risk are necessary for fully understanding risky decision-making with respect to supply disruptions.     

The effects of technological turbulence and breadth on supply chain technology acceptance and adoption

The current empirical study examines the intention to use and subsequent implementation of a supply chain technology. Specifically, the authors extend the technology acceptance model (TAM) to incorporate the state of the technology environment (technological turbulence) and the extent to which other supply chain technologies have already been adopted by the firm (technological breadth). A series of seemingly unrelated regressions (SUR) were used to analyze survey data from 195 respondents. The results show that in technologically turbulent environments, the relationships between the firm's perceived usefulness and ease of use and the firm's intention to use a supply chain technology are stronger. The study also finds that the relationship between the firm's intention to use a supply chain technology and the implementation of the technology is weaker in firms with greater technological breadth.     

Combining forecasts: An application to elections

We summarize the literature on the effectiveness of combining forecasts by assessing the conditions under which combining is most valuable. Using data on the six US presidential elections from 1992 to 2012, we report the reductions in error obtained by averaging forecasts within and across four election forecasting methods: poll projections, expert judgment, quantitative models, and the Iowa Electronic Markets. Across the six elections, the resulting combined forecasts were more accurate than any individual component method, on average. The gains in accuracy from combining increased with the numbers of forecasts used, especially when these forecasts were based on different methods and different data, and in situations involving high levels of uncertainty. Such combining yielded error reductions of between 16% and 59%, compared to the average errors of the individual forecasts. This improvement is substantially greater than the 12% reduction in error that had been reported previously for combining forecasts.     

Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task

We conducted laboratory experiments for analyzing the accuracy of three structured approaches (nominal groups, Delphi, and prediction markets) relative to traditional face-to-face meetings (FTF). We recruited 227 participants (11 groups per method) who were required to solve a quantitative judgment task that did not involve distributed knowledge. This task consisted of ten factual questions, which required percentage estimates. While we did not find statistically significant differences in accuracy between the four methods overall, the results differed somewhat at the individual question level. Delphi was as accurate as FTF for eight questions and outperformed FTF for two questions. By comparison, prediction markets did not outperform FTF for any of the questions and were inferior for three questions. The relative performances of nominal groups and FTF were mixed and the differences were small. We also compared the results from the three structured approaches to prior individual estimates and staticized groups. The three structured approaches were more accurate than participants’ prior individual estimates. Delphi was also more accurate than staticized groups. Nominal groups and prediction markets provided little additional value relative to a simple average of the forecasts. In addition, we examined participants’ perceptions of the group and the group process. The participants rated personal communications more favorably than computer-mediated interactions. The group interactions in FTF and nominal groups were perceived as being highly cooperative and effective. Prediction markets were rated least favourably: prediction market participants were least satisfied with the group process and perceived their method as the most difficult.     

The Regressive Recovery: Distribution,Inequality and State Power in Britain's Post-Crisis Political Economy

This article interrogates the underlying mechanisms at the heart of Britain's post-crisis political economy. We argue that the contemporary economic recovery has been characterised by a dynamic of ‘regressive redistribution’: a socially regressive dynamic of state-led economic restructuring that has worked through two axes at the centre of the recovery. The first axis, a monetary policy framework centred upon Quantitative Easing, has driven asset-price inflation to the benefit of the wealthiest asset holders. The second axis centres upon the politics of regressive labour market restructuring which has provoked widespread wage deflation. In combination, these two axes have been central to defining the contours of the Britain's post-crisis political economy paradigm: characterised by rising asset wealth for the few, and falling living standards alongside increasing economic insecurity for wage earners. The opportunity to change path from the trends of deepening inequality that defined the pre-crisis era has not been taken. Instead, the prevailing policy paradigm of the post-crisis period – discursively unified and sustained by David Cameron's government – has intensified the regressively redistributive dynamics at the core of the neo-liberal project. Ultimately, this is likely to further entrench structural weaknesses in Britain's economy in the years ahead.