Expertise and organizational boundaries: the varying roles of Australian management consultants

The diversity of management consulting has long been recognized by mainstream commentators, but the more critical literature often overlooks this feature. This article explores different consulting roles by developing a typology based on two dimensions of consulting work: the nature of the knowledge base that consultants purport to use in their work, and the extent to which the boundaries between consultant and client are permeable. Based on interviews with a cross-section of Australian consultants and clients, features of four main consulting roles are outlined. Key developments that are highlighted include the increasingly structured nature of much consulting work and the growth of client-consultant relationships based on social rather than purely market exchange criteria. It is shown that the diversity of consulting roles has developed over time in response to both client demands and consultant initiatives. The analysis raises questions about the nature of expertise and the structure of organizations.     

What explains recent changes in international monetary policy attitudes toward inflation? Evidence from developed countries

This paper identifies source(s) contributing to the recent international shift in monetary policy attitudes toward inflation. Data from 18 developed countries suggests that this shift is connected to the universal increase in policy responses to economic openness in the 1990s.     

The development of contract research organisations in Sweden: health care,privatisation and neo‐liberalism

This paper examines changes in local working conditions instigated by the development of contract research organisations in pharmaceutical development. These developments are seen as occurring in the context of Sweden's ‘circumscribed neoliberalization’. It is shown how staff remain ambivalent about the shifts of location and identity that these developments imply.     

Managing strategic change through TQM: learning from failure

This article argues that the study of total quality management (TQM) failure is a valuable vehicle to extend our knowledge of strategic change management. The article reviews the literature on TQM and, after reporting the findings from an in-depth case study concludes by discussing the meaning of 'failure' and the lessons for managing strategic change that can be learnt from the study of TQM decline.     

Rational Expectations, Market Fundamentals and Housing Price Volatility

This paper derives a forward-looking rational expectations house price model and empirically tests its ability to explain short-run fluctuations in real house prices. A novel approach to proxying the imputed rents of owner-occupied housing, as a function of observable housing market fundamentals, is combined with a housing market arbitrage relation to derive a present value model for real house prices. Tests of the rational expectations, nonlinear cross-equation restrictions reject the joint null hypothesis of rational expectations and the asset-based housing price model for quarterly, single-detached house prices in the city of Vancouver, British Columbia from 1979–1991. The model fails to fully capture observed house price dynamics in two real estate booms but tracks real house prices well in less volatile times, suggesting that prices may temporarily deviate from fundamental values in real estate price cycles.     

A Dynamic-Programming Approach to Multiperiod Asset Allocation

Academicians and practitioners recently have focused a great deal of attention on the issue of retirement asset allocation. However, research on the academic side typically has assumed a static allocation of a fixed amount over the investor's lifetime, while the advice on the practitioner side has been largely ad hoc in nature. Moreover, both academics and practitioners often fail to link allocations to the individual's attitude toward risk. This paper uses several performance measures that incorporate the individual's aversion to risk and finds the allocations in the year before retirement that maximize the expected value of those performance measures. It then uses a dynamic programming procedure to roll back one year at a time to determine optimal allocations for previous years as well. We find that the traditional advice that young investors should invest more heavily in equity (with a gradual shift to more debt as they near retirement) indeed is correct, and in fact the optimal equity allocation is even higher than commonly suggested. Deviations of the growth in an individual's income from a long-term national average did not seem to significantly affect the optimal allocations. The optimal allocations, however, vary widely as a function of (1) investor attitudes toward risk and (2) accumulated savings to date. These results suggest greater care should be taken to assess and incorporate these factors into the asset-allocation decision.     

Take command of your growth

Ask senior managers to pare costs by 10%, and they know just what to do. Ask them to boost growth by 10%, and they're stymied, assuming that growth is not really something they can influence. But managers can control their company's growth if they have better information about where their revenues are coming from. Rather than sort sales by geographic market, business unit, or product line, they should break them out in a way that reveals which part of their strategy is responsible for what part of their revenue. This article presents a tool--the sources of revenue statement (SRS)--that does just that. Through straightforward calculations using data taken from a company's balance sheet, along with estimations of customer-churn and industry growth rates, the SRS enables managers to classify their revenue according to five sources of growth: continuing sales to established customers (base retention); sales won from the competition (share gain); sales that fell into their laps because the market was expanding (market position); sales from moves into adjacent markets; and sales from entirely new lines of business. Once sorted in this way, revenue can be viewed as the outgrowth of manageable circumstances. At one company, seemingly healthy 10% total revenue growth masked substantial customer defections counter-balanced only by sales in a fast-expanding market--a market that actually grew faster than the company did. Rather than doing well, the company was ceding customers and market share to competitors. Comparing the sources of revenue across divisions can uncover similarly profound insights, which can suggest smart ways to change strategy or set stretch goals. Hundreds of companies are perched atop enormous potential that they can't see and so don't exploit. The SRS can endow them with sight and, more important, with understanding.     

A taxonomy of ecopreneurship in small manufacturing firms: A multidimensional cluster analysis

This study presents a multidimensional taxonomy of “ecopreneurship” for small manufacturing firms. Based on a cluster analysis of 312 Swedish firms, four distinct clusters are identified: pioneers, green dumpers, overlookers, and recyclers. These clusters are compared regarding their level of entrepreneurial orientation and firm performance. Based on the results, and because of the resource constraints associated with small firms, managers of such companies are advised to examine the economic consequences of specific environmental business practices and to adopt a less aggregated approach to ecopreneurship. This study illustrates the usefulness of a multidimensional scale when researching environmental behaviors and is a response to the lack of an empirically based classification of ecopreneurship configurations.     

Bayesian stochastic frontier analysis using WinBUGS

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented and various ways of summarizing posterior inference are discussed. Several examples illustrate that analyses with models of genuine practical interest can be performed straightforwardly and model changes are easily implemented. Although WinBUGS may not be that efficient for more complicated models, it does make Bayesian inference with stochastic frontier models easily accessible for applied researchers and its generic structure allows for a lot of flexibility in model specification.