GPS-Based Evaluation of Activity Profiles in Elite Downhill Mountain Biking and the Influence of Course Type

This study aimed to profile the activity patterns of elite downhill (DH) mountain bikers during off-road descending, and to determine the influence of course types on activity patterns. Six male elite DH mountain bikers (age 20 ± 2 yrs; stature 178.8 ± 3.1 cm; body mass 75.0 ± 3.0 kg) performed single runs on one man-made (MM) and one natural terrain (NT) DH courses under race conditions. A 5 Hz global positioning systems (GPS) unit, including a 100 Hz triaxial accelerometer, was positioned in a neoprene harness between the C7 and T2 vertebrae on each rider. GPS was used to determine the temporal characteristics of each run for velocity, run time, distance, effort, heart rate (HR), rider load (RLd) which reflects instantaneous rate of change in acceleration, and accumulated rider load (RLdAcc), which reflects change in acceleration over the event duration. Significant differences were found between NT and MM courses for mean velocity (p<.001), peak velocity (p=.014), mean RLd (p=.001) and peak RLd (p=.002). Significant differences were also found both within and between courses for all velocity parameters, when analysed by intensity zone (p<.05). No significant differences were found between courses for HR parameters by zone, though significant differences were revealed between HR zones within courses (p<.05). This study indicates that course terrain has a significant impact on the activity profiles of DH and that GPS can provide a practical means of monitoring these differences in activity

Diversity and profitability : evidence and future research directions / 1433

Includes bibliographical references (p. 23-24)

Problem formulation and organizational decision-making : biases and assumptions underlying alternative models of strategic problem formulation

Bibliography: p. 20-25

An analysis of the environment and competitive dynamics of management research

Purpose – The purpose of this paper examines some of the controversies facing business schools in their future evolution and pays particular attention to their competitive positioning as centres of management research. Design/methodology/approach – The paper combines and builds on current literature to provide an analytic overview of the environment and competitive challenges to management research in business schools. Findings – The paper assesses the impacts of a globalized environment and ever-changing competitive dynamics, for example in terms of the supply of high-quality faculty, on the activity of management research in business schools. It points out that research impacts must be judged not only in terms of theoretical development but also managerial and policy impact. However, managerial impact is difficult to measure and the “voice of practice” must be carefully identified. Originality/value – The paper identifies the current challenges for undertaking innovative research in business schools in light of their competitive environment. Three interrelated conjectures focusing particularly on managerial impact are raised which identify problems and limitations of current debates on management research in business schools

Dynamic and risk measurement perspectives on Bowman's risk-return paradox for strategic management : an empirical study

Bibliography: p. 20-21

A Conceptual Framework for Studying the Sources of Variation in Program Effects

Evaluations of public programs in many fields reveal that (1) different types of programs (or different versions of the same program) vary in their effectiveness, (2) a program that is effective for one group of people might not be effective for other groups of people, and (3) a program that is effective in one set of circumstances may not be effective in other circumstances. This paper presents a conceptual framework for research on such variation in program effects and the sources of this variation. The framework is intended to help researchers -- both those who focus mainly on studying program implementation and those who focus mainly on estimating program effects -- see how their respective pieces fit together in a way that helps to identify factors that explain variation in program effects and thereby support more systematic data collection on these factors. The ultimate goal of the framework is to enable researchers to offer better guidance to policymakers and program operators on the conditions and practices that are associated with larger and more positive effects

Personal-bankruptcy cycles

This paper estimates the dynamics of the personal-bankruptcy rate over the business cycle by exploiting large cross-state variation in recessions and bankruptcies. We find that bankruptcy rates are significantly higher than normal during a recession and rise as a recession persists. After a recession ends, there is a hangover whereby bankruptcy rates begin to fall but remain above normal for several more quarters. Recovery periods see a strong bounce-back effect with bankruptcy rates significantly below normal for several quarters. Despite the significant increases in bankruptcies that occur during recessions, the largest contributor to rising bankruptcies during these periods has tended to be the longstanding upward trend.Bankruptcy ; Finance, Personal

Interpreting aggregate wage growth

This paper analyzes the relationship between aggregate wages and individual wages when there is time series variation in employment and in the dispersion of wages. A new and easily implementable framework for the empirical analysis of aggregation biases is developed. Aggregate real wages are shown to contain three important bias terms: one associated with the dispersion of individual wages, a second reflecting the distribution of working hours, and a third deriving from compositional changes in the (selected) sample of workers. Noting the importance of these issues for recent experience in Britain, data on real wages and participation for British male workers over the period 1978-1996 are studied. A close correspondence between the estimated biases and the patterns of differences shown by aggregate wages is established. This is shown to have important implications for the interpretation of real wage growth over this period.Aggregate Real Earnings, Participation, Wage Distribution