The Influence of Managerial Relations on Waves of Employee Involvement

One of the most enduring issues in the debate about employee involvement (EI) and workers' participation is how it survives over time, and to what extent the dynamics of EI is linked with labour-management relations. In this article, which draws upon data collected in a two-year study of 25 organizations, it is suggested that managerial relations is a significant factor in explaining waves of EI, and one that is frequently overlooked. Waves of EI can be assessed in terms of the twin concepts of centrality and prominence, terms that are amplified below. The introduction of EI techniques is motivated by a number of forces, but one of the most important is a desire by managers to be noticed, to engage in ‘impression management’, via the creation of new schemes. Despite having high-profile introductions, these schemes soon tend to fade in importance, to a large extent because of problems within management such as internal political rivalries, low supervisory commitment to schemes, inadequate training provision or the downgrading of EI by management arising from conflicting priorities.     

New Economic Indicators for Australia, 1949-84

This article attempts to identify and describe the main characteristics of Australia'a business cycles during the period 1949 to 7984 with the aid of leading, coincident, and lagging indicators, using the methodology of the International Economic lndicator project at the Center for lnternational Business Cycle Research, Columbia University, New York. The methodology to identify Australia's classical cycle and growth cycle chronologies is discussed. Reviews are made of the lead-lag patterns of, first, both chronologies in relation to the specific cycles of the individual coincident indicators, and second, the growth chronology in relation to the leading and lagging indicators. Australia's growth cycle chronology is compared with the chronology of other countries, notably of United States, United Kingdom, and Japan. The general uses of an indicator analysis are reviewed. An appendix compares the reference cycle chronologies previously available for Australia and the indicators used to obtain them.     

An empirical comparison of bankruptcy models

Four types of bankruptcy prediction models based on financial statement ratios, cash flows, stock returns, and return standard deviations are compared. Based on a sample of bankruptcies from 1980 to 1991, results indicate that no existing model of bankruptcy adequately captures the data. During the last fiscal year preceding bankruptcy, none of the individual models may be excluded without a loss in explanatory power. If considered in isolation, the cash flow model discriminates most consistently two to three years before bankruptcy. By comparison, the ratio model is the best single model during the year immediately preceding bankruptcy. Quasi-jack-knifing procedures suggest that none of the models can reliably predict bankruptcy more than two years in advance.     

Correlates of Drug Testing Attitudes in a Sample of Blue Collar Workers

Using responses from 1429 workers employed in the wood products industry, we examine the relationship between drug testing (DT) attitudes and several demographic, organizational, job attitude, and job outcome variables. After controlling for age and marital status, analyses revealed moderate correlations between DT attitudes and alcohol and drug variables, DT program characteristics, organizational, and work attitude variables. DT attitudes were weakly but significantly related to absences, late work arrivals, accidents, and injuries. Implications of the findings and future research suggestions are discussed.     

A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid

In this article we evaluate a US Forest Service plan to mitigate damages from an invasive insect on public, forested land. We develop a dynamic model of infestation and control to explicitly account for biological interactions, baseline conditions, and uncertainty, thus creating a more complete picture of policy impacts than a static cost benefit analysis could provide. We combine the results of the dynamic model with an empirical study of nonmarket forest benefits to create a bioeconomic model of ecosystem management. Estimating the empirical model in a Bayesian framework allows us to treat the economic coefficients of the dynamic model as random variables. We specify distributions for the biological parameters and examine the effects of both biological and economic uncertainty on the predictive distribution of net benefits. We find that the net benefits of the program are positive, and that uncertainty in the biological model contributes substantially more to the variance of our estimate than does uncertainty over the valuation of the resource.     

Problems of world food and agriculture: Projections,models and possible approaches

This article is concerned with the global implications of recent work in food and nutrition planning. It is based on the realisation that the world food situation is critical. Two distinct explanatory/ action paradigms that have been adopted by food/nutrition planners and other professional writers are identified and discussed. These approaches are then assessed in the light of forecasting techniques used to explore the future world food situation and more appropriate techniques are proposed.