European Community Merger Control in the Service Industries

This article examines the application of the EC Merger Regulation to service industries in the light of the 50 final decisions relating to services taken in its first two years of operation. These cases generally raised few competition concerns and only one (Accor/Wagons-Lits) has led to full proceedings. However they have raised important questions about the calculation of turnover, definition of control and treatment of joint ventures as well as uncertainties about jurisdiction. An understanding of the Commission's evolving policy will be of increasing importance as service industries internationalise, especially if thresholds for investigation are eventually lowered as the Commission has proposed.     

A Taxonomic Evaluation of Advertising Budgeting Models

The advertising budget allocation decision has been recognized as a critical decision that should receive logical, scientific determination. However, actual decision-making practice indicates that marketers typically use qualitative, non-scientific methods when setting advertising budgets. This article discusses the reasons for this practice by focusing on the properties of qualitative models which make them attractive to practitioners and the properties of quantitative models which make them unattractive. To assist in this analysis, a taxonomy for the classification of various qualitative and quantitative budget models is constructed, the emphasis of which is on the perceived usefulness of a budget model to practitioners.     

Design considerations for neyman-pearson and wald hypothesis testing

Summary The Neyman-Pearson Lemma describes a test for two simple hypotheses that, for a given sample size, is most powerful for its level. It is usually implemented by choosing the smallest sample size that achieves a prespecified power for a fixed level. The Lemma does not describe how to select either the level or the power of the test. In the usual Wald decision-theoretic structure there exists a sampling cost function, an initial prior over the hypothesis space and various payoffs to right/wrong hypothesis selections. The optimal Wald test is a Bayes decision rule that maximizes the expected payoff net of sampling costs. This paper shows that the Wald-optimal test and the Neyman-Pearson test can be the same and how the Neyman-Pearson test, with fixed level and power, can be viewed as a Wald test subject to restrictions on the payoff vector, cost function and prior distribution.     

ANALYST BEHAVIOR SURROUNDING TENDER OFFER ANNOUNCEMENTS

We examine the usefulness and credibility of analyst recommendations by focusing on their behavior surrounding tender offer announcements. For our 1998–2001 sample, we find analysts did not identify takeover targets through their recommendations nor did they distinguish between wealth‐increasing and wealth‐decreasing tender offers. We find some evidence of conflicts of interest in analyst recommendations, but it is confined to the 1999–2000 dot‐com period. However, the long‐run performance following recommendations suggests that these conflicts have little ultimate cost to investors.     

Market Orientation,Generative Learning,Innovation Strategy and Business Performance Inter‐Relationships in Bioscience Firms

We propose conceptual arguments to establish relationships between market orientation and generative learning and their respective impact on exploitative innovation strategy and explorative innovation strategy. We then consider the ambidextrous association between both forms of innovation strategy and business performance. This model is subject to an empirical test using data generated from 160 bioscience firms. Using structural equation modelling, two mutually exclusive paths are specified where market orientation leads to exploitative innovation strategy, while generative learning leads to explorative innovation strategy. We then find that the ambidexterity exhibited by firms in the form of exploitative innovation strategy and explorative innovation strategy significantly explains improvements in firms’ business performance. Discussion is given to these findings and managerial implications are presented along with avenues for further research.     

Mutual funds as monitors: Evidence from mutual fund voting

We address how mutual funds vote on shareholder proposals and identify factors that help determine support of wealth-increasing shareholder proposals. We examine 213,579 voting decisions made by 1799 mutual funds from 94 fund families for 1047 shareholder proposals voted on between July 2003 and June 2005. In an analysis of voting across funds within the same fund family, we find significant divergence in voting within families, emphasizing the importance of focusing on voting by individual funds. We also find that, in general, mutual funds vote more affirmatively for potentially wealth-increasing proposals and funds' voting approval rates for these beneficial resolutions are significantly higher than those of other investors. Our results suggest that funds tend to support proposals targeting firms with weaker governance. We also find that funds with lower turnover ratios and social funds are more likely to support shareholder proposals. Finally, fund voting approval rates significantly impact whether a proposal passes and whether one is implemented.