STRATEGIC ORIENTATION,CAPABILITIES, AND PERFORMANCE IN MANUFACTURER — 3PL RELATIONSHIPS

This study examines how two dimensions of strategic orientation (customer and competitor orientation) influence logistics and market performance. Two capabilities, operational flexibility and collaboration, are studied. Data were collected from manufacturers working with third party logistics providers. The findings suggest that customer and competitor orientations have different influences upon performance when leveraged through the capabilities. Competitor orientation, while having a detrimental direct effect on logistics performance, appears to be the better strategic approach, when supported with operational flexibility since it results in enhanced logistics (efficiency) and market (effectiveness) performance. Customer orientation, on the other hand, greatly improves logistics performance, i.e., internal efficiency.     

Building Brands through Brand Alliances: Does a Second Ally Help?

Several papers have been published demonstrating the positive effects a single, reputable ally has on evaluations of a focal brand. Interestingly, little research has been published examining the effects of multiple brand allies. We examine the effect of an alliance with two, one, or zero well-known brand allies on evaluations of a previously unknown focal brand. The presence of a single brand ally significantly increased perceived quality and hedonic and utilitarian attitudes. While multiple alliances improved focal brand evaluations relative to the no ally condition, the second ally did not increase evaluations relative to the single ally condition.     

Simultaneous visualisation of biofouling, organic and inorganic particle fouling on separation membranes.

Fouling is a major problem in membrane processes of water treatment. It can be caused by the deposition of inorganic and organic particulate material, and of microbial cells which may subsequently form biofilms. In practice, usually more than one foulant participates in the formation of membrane deposits. Knowledge of the composition of fouling layers is important for the development of appropriate countermeasures. For this purpose, an experimental system was established for the generation and microscopic visualisation of mixed deposits, using fluorescently labelled model foulants: (i) drinking-water bacteria stained with nucleic acid-specific dyes (biofouling), (ii) synthetic clay mineral laponite stained with rhodamine 6G (inorganic particle fouling), and (iii) fluorescently labelled polystyrene microspheres (organic particle fouling). Polycarbonate and polyethersulfone membranes were challenged with these foulants by dead-end filtration. On the basis of different fluorescent labels, the single foulants in these mixed deposits could be visualised separately by confocal laser scanning microscopy which, in combination with image analysis, allowed the generation of three-dimensional views of the complete deposits. This method offers the possibility for the estimation of quantitative surface coverage by foulants and for the determination of the efficacy of cleaning measures with respect to the removal of different foulants.     

EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.     

A new coincident index of business cycles based on monthly and quarterly series

Popular monthly coincident indices of business cycles, e.g. the composite index and the Stock–Watson coincident index, have two shortcomings. First, they ignore information contained in quarterly indicators such as real GDP. Second, they lack economic interpretation; hence the heights of peaks and the depths of troughs depend on the choice of an index. This paper extends the Stock–Watson coincident index by applying maximum likelihood factor analysis to a mixed‐frequency series of quarterly real GDP and monthly coincident business cycle indicators. The resulting index is related to latent monthly real GDP. Copyright © 2002 John Wiley & Sons, Ltd.