Defining roles for logistics during routine and radical technological innovation

Technological innovation has become increasingly important to new product development in American industry because of the potential competitive advantage it offers. In this study extensive observation and interviewing over more than two years in one prominent Frtune 500 industrial manufacturer provides strong evidence that logistics can and does play important—and sometimes surprising—roles in the development and launch of new technological products. This article describes logistics activities during the development and launch of technological innovations, identifies key roles played by logistics, relates lessons learned and proposes directions for future research.     

Concentration of the UK Stock Market

Abstract:  During 1999 and 2000 a large number of articles appeared in the financial press which argued that the concentration of the FTSE 100 had increased. Many of these reports suggested that stock market volatility in the UK had risen, because the concentration of its stock markets had increased. This study undertakes a comprehensive measurement of stock market concentration using the FTSE 100 index. We find that during 1999, 2000 and 2001 stock market concentration was noticeably higher than at any other time since the index was introduced. When we measure the volatility of the FTSE 100 index we do not find an association between concentration and its volatility. When we examine the variances and covariance's of the FTSE 100 constituents we find that security volatility appears to be positively related to concentration changes but concentration and the size of security covariances appear to be negatively related. We simulate the variance of four versions of the FTSE 100 index; in each version of the index the weighting structure reflects either an equally weighted index, or one with levels of low, intermediate or high concentration. We find that moving from low to high concentration has very little impact on the volatility of the index. To complete the study we estimate the minimum variance portfolio for the FTSE 100, we then compare concentration levels of this index to those formed on the basis of market weighting. We find that realised FTSE index weightings are higher than for the minimum variance index.     

Expanding the Tension‐Reduction Model of Work Stress and Alcohol Use: Comparison of Managerial and Non‐Managerial Men and Women*

abstract The tension‐reduction model that links workplace stress to alcohol use and problems has received mixed support in previous investigations. Following recommendations that this model include moderated mediated relationships ( Frone, 1999 ) using more specific forms of workplace stress, we examine the impact of gender ratio, generalized workplace abuse, and stereotype threat in an effort to predict alcohol use and problems particularly for managerial women. A total of 1410 (57 per cent response rate) employees completed a survey containing items on job stress, escapist reasons for drinking, and alcohol consumption and problems, and SEM analyses were conducted separately for managerial and non‐managerial men and women. Results revealed that: (a) these three workplace stressors were differentially related to general workplace stress for the four groups; and (b) the contributions of the three stressors and of general work stress to the alcohol‐related variables varied by group.     

Regulating securities analysts

We examine the effects of regulations designed to address the potential conflict of interest that arises when sell-side analyst research is not independent of investment banking. We focus on two types of regulation: (1) internal barriers between equity research and investment banking that restrict communication; and (2) disclosure requirements relating to analyst compensation. We find that information barriers can increase research effort and improve report quality by limiting an investment bank's ability to distort its analyst's incentives. However, this type of regulation can also reduce information production and lower the quality of reports if an investment bank benefits directly from research activity. Disclosure requirements, on the other hand, unambiguously lead to more informative prices and a higher report quality relative to either information barriers or no regulation.     

Changing the Concepts to Justify the Standards*

In this paper, I discuss the current project to converge the IASB and FASB conceptual frameworks, specifically efforts to purge the converged framework of concepts that hinder the promotion of balance sheet valuation using fair values. I discuss why I believe these efforts to be misguided, based on how investors who analyze financial statements employ accounting information. I focus on stewardship, reliability, and earnings — terms either demoted in importance or at risk of being eliminated in the framework convergence project. I explain their salience to financial statement users and argue against their deletion or demotion.     

House prices, non-fundamental components and interstate spillovers: The Australian experience

Using Australian capital city data from 1984Q3--2008Q2, this paper utilizes a dynamic present value model within a VAR framework to construct time series of house prices depicting what aggregate house prices should be given expectations of future real disposable income - the “fundamental price” - and continues by comparing capital city fundamental prices with actual prices. The extent to which revealed capital city “non-fundamental” components spillover from state to state, as well as their long-term impact is also investigated. Results provide evidence of periods of sustained deviations of house prices from values warranted by income for all state capitals with the greatest deviations arising in the NSW market and starting around 2000. In general NSW is relatively more susceptible to spillovers transmitted from other states while ACT and WA are most isolated from the rest of the country.     

Corporate social responsibility reporting: A comprehensive picture?

This study develops a content analysis framework that provides information on the comprehensiveness of corporate social responsibility (CSR) reporting, an important aspect of social and environmental accountability. Comprehensive reporting, as defined here, requires three types of information for each disclosed CSR item: (i) vision and goals, (ii) management approach, and (iii) performance indicators. The feasibility of the framework to assess the comprehensiveness of CSR reporting is demonstrated using the 2005 annual reports of a sample of publicly traded Belgian companies. The content analysis reveals a low level of comprehensive reporting. This finding complements those of prior studies on the completeness of CSR reporting and, therefore, feeds the debate regarding the extent to which CSR reporting can be considered a mechanism for discharging social and environmental accountability.     

Employee emotions during organizational change—Towards a new research agenda

In this research note, we address the role of employee emotions during organizational change processes. While prior studies have examined emotions during a single change, such research analyzes emotions and change as snapshot events. In addition, we lack sufficient knowledge of the role of employee emotions during repeated changes, despite the evidence that organizations increasingly need to adapt to dynamic environments. We address these shortcomings and offer a research agenda on emotions during change, which incorporates the so far neglected view of emotions as processes that unfold during and across organizational changes. Specifically, we illustrate the role of employee emotions during sequential and simultaneous changes and offer six suggestions for future research on emotions in such contexts.     

Mean Reversion in the Short Horizon Returns of UK Portfolios

This paper will show that short horizon stock returns for UK portfolios are more predictable than suggested by sample autocorrelation co-efficients. Four capitalisation based portfolios are constructed for the period 1976–1991. It is shown that the first order autocorrelation coefficient of monthly returns can explain no more than 10% of the variation in monthly portfolio returns. Monthly autocorrelation coefficients assume that each weekly return of the previous month contains the same amount of information. However, this will not be the case if short horizon returns contain predictable components which dissipate rapidly. In this case, the return of the most recent week would say a lot more about the future monthly portfolio return than other weeks. This suggests that when predicting future monthly portfolio returns more weight should be given to the most recent weeks of the previous month, because, the most recent weekly returns provide the most information about the subsequent months' performance. We construct a model which exploits the mean reverting characteristics of monthly portfolio returns. Using this model we forecast future monthly portfolio returns. When compared to forecasts that utilise the autocorrelation statistic the model which exploits the mean reverting characteristics of monthlyportfolio returns can forecast future returns better than the autocorrelation statistic, both in and out of sample.