The state of technological and social change: Impressions

As the long-wave theory has predicted, we are seeing a period of consolidation in which the pace of radical technological innovation seems exceeded by the pace of social change. Peter Drucker's dictum, that technology changes faster than society, appears now to have been reversed. The article offers research and anecdotal support for these assertions, linking them to specific trends and trend interactions, including patents and intellectual property litigation, new product development, and politics and revolution.     

Are there ENSO signals in the macroeconomy?

Whether ENSO has affected U.S. macroeconomic performance has been a matter of dispute. To address the issue we explore whether there has been any co-cyclicality of ENSO fluctuations and the rates of inflation and economic growth over the 1894-1999 timespan and, failing this, whether aperiodic ENSO shocks have had any impact on these variables. Neither co-cyclicality nor aperiodic shocks are discernible. While ENSO may briefly influence the performance of particular sectors of the economy in particular regions, as documented by the previous literature, such locally-important effects vanish into the noise surrounding macroeconomic trends in an economy as large and complex as that of the U.S.     

Environmental uncertainty, supply chain relationship quality and performance

Environmental uncertainty is a fact of life in today's supply chains. In this paper we develop a model of environmental uncertainty, supply chain (SC) relationship quality and SC performance. We use data from the electronics sector in Ireland to test our model. Our results provide mixed support for the model, with the moderating role of both demand and supply uncertainty being supported, but technological uncertainty not supported. We reflect on these findings and suggest a research agenda based on our results.     

An alternative to the weighted score card approach to measuring performance: An analysis of English and Welsh probation boards

The UK government published a weighted score card approach in 2003 to analyse the performance of Probation Boards in England and Wales. However, there has not been a thorough analysis of whether non-parametric methods could provide more advanced options for analysing performance than the standard Weighted Score Card approach – a variant of the Balanced Score Card. Our results show there is considerable divergence in the ranks of Probation Boards from that of the WSC when we include the input variable ‘resource expenditure’ within a DEA model, calling into question recent policy initiatives to increase efficiency in the national probation service.     

Competition and public high school performance

Increasing the level of school competition has been suggested as a way to improve school performance. This study examines one of the most extreme examples of such reform using data from New Zealand public high schools. In the 1990s school zoning was abolished in New Zealand and public schools competed for students, not just with private schools, but also with each other. A categorical Data Envelopment Analysis model using data on school resources and student academic performance, stratified using student socio-economic characteristics, is used to calculate efficiency scores for schools. A regression model is then used to analyse differences in these efficiency scores and their relationship to different levels of competition.     

Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009

In this work we consider the forecasting of macroeconomic variables during an economic crisis. The focus is on a specific class of models, the so-called single hidden-layer feed-forward autoregressive neural network models. What makes these models interesting in the present context is the fact that they form a class of universal approximators and may be expected to work well during exceptional periods such as major economic crises. Neural network models are often difficult to estimate, and we follow the idea of White (2006) of transforming the specification and nonlinear estimation problem into a linear model selection and estimation problem. To this end, we employ three automatic modelling devices. One of them is White’s QuickNet, but we also consider Autometrics, which is well known to time series econometricians, and the Marginal Bridge Estimator, which is better known to statisticians. The performances of these three model selectors are compared by looking at the accuracy of the forecasts of the estimated neural network models. We apply the neural network model and the three modelling techniques to monthly industrial production and unemployment series from the G7 countries and the four Scandinavian ones, and focus on forecasting during the economic crisis 2007–2009. The forecast accuracy is measured using the root mean square forecast error. Hypothesis testing is also used to compare the performances of the different techniques.     

Social Pressure at the Plate: Inequality Aversion,Status, and Mere Exposure

This paper uses professional baseball data to evaluate the impact of social pressures on subjective decisions made by officials. Umpires show tendencies consistent with both centrality bias and favoritism toward players with higher status in the league. Results also indicate that the odds of a strike are lower for batters in close proximity to the official throughout the game. Implications extend beyond sport to issues regarding closeness of contact in employee–manager relationships and pay and promotions decisions in the workplace. Given the persistent monitoring of officials in professional baseball, this phenomenon could be more prevalent in less scrutinized positions in other industries. Copyright © 2013 John Wiley & Sons, Ltd.     

Signalling Theory and Equilibrium in Strategic Management Research: An Assessment and a Research Agenda

Actors within organizations commonly must make choices armed with incomplete and asymmetrically distributed information. Signalling theory seeks to explain how individuals are able to do so. This theory's primary predictive mechanism is ‘separating equilibrium’, which occurs when a signal's expectations are confirmed through experience. A content analysis finds that most strategic management signalling theory studies have not fully leveraged separating equilibrium. This presents two possible paths for future research. First, some researchers may wish to incorporate separating equilibrium. We illustrate how doing so can uncover new relationships, generate novel insights, and fortify the theory's application. Others who want to theorize about signals, but not examine separating equilibrium, could integrate ideas from signalling theory with other information perspectives. Here a signal becomes one stimulus among many that corporate actors interpret and act upon. We provide research agendas so strategy scholars can apply signalling theory most effectively to meet their research objectives.     

New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis

A bootstrapped DEA procedure is used to estimate technical efficiency of 18 Italian airports during the period 2000-2004. Departing from previous studies, we separate the efficiency related to ability to manage airside activities (operational) from that related to the management of all business activities (financial). In general, Italian airports operate at poor levels of efficiency, with slightly better performance in terms of their financial activities. In the current study, selected intrinsic and environmental characteristics are considered as possible drivers of Italian airport performance. In particular, we found that: (i) the airport dimension does not allows for operational efficiency advantages, (ii) on the other hand, the airport dimension allows for financial efficiency advantages for the case of hubs and disadvantages for the case of the smallest airports (iii) the type(s) of concession agreement(s) might be considered as important source of technical efficiency differentials for those airports running marginal commercial activities; (iv) the introduction of a dual-till price cap regulation might create incentives which lead to the increase of financial efficiency at the detriment of the operational performance. Lastly, the development of a second hub (Milano Malpensa), has negatively affected the performance of the country’s national hub (Roma Fiumicino).