Teamworking: a new dynamic in the pursuit of management control

This article examines the introduction of teamworking in the pharmaceutical industry. It was found that the organisation of work contained a mix of benefits and costs. The balance between the two was not random; employees' response was influenced by and connected to prior experiences and expectations, management's business strategies and approach to industrial relations and HRM. The article argues that there was a new dynamic, but one cast within the familiar terrain of management seeking to maintain control and generate consent.     

Managing employee expectations during acquisitions

There is a wide body of evidence that suggests that the management of 'human factors' in post‐acquisition implementation is important and, where it is badly managed, helps to explain why up to half of acquisitions are not deemed to be successful. A central feature in this process is the management of employee expectations. Using research insights drawn from the management and formation of expectations in recruitment and from breaches of the psychological contract, this article reports on research in organisations subject to a takeover within two years of the field work. Detailed findings on two of these cases are used to explore the dimensions of dual expectations in such circumstances. It is suggested that employees in acquired companies have concerns that become expectations concerning both themselves ('me') and their work group ('us'), ranging from immediate job and employment worries on transfer to longer‐term status and behavioural and cultural concerns in the 'new' organisation. These expectations will vary over time and have different facets according to the seniority of the employee, the degree of integration sought by the acquirer and the extent to which expectations formed are proven to be realistic and realisable. The two cases analysed reveal different aspects of unmet expectations in acquisitions. Seven factors were identified as influential in shaping employees' expectations in acquisitions: quality of communication, believability of information, trust in management action, credibility of leadership, fairness of action, consistency of action and communication and logic of management action or behaviour.     

Does money impede convergence?

Inspired by Clower’s conjecture that the necessity of trading through money in monetised economies might hinder convergence to competitive equilibrium, and hence, for example, cause unemployment, we experimentally investigate behaviour in markets where trading has to be done through money. In order to evaluate the properties of these markets, we compare their behaviour to behaviour in markets without money, where money cannot intervene. As the trading mechanism might be a compounding factor, we investigate two kinds of market mechanism: the double auction, where bids, asks and trades take place in continuous time throughout a trading period; and the clearing house, where bids and asks are placed once in a trading period, and which are then cleared by an aggregating device. We thus have four treatments, the pairwise combinations of non-monetised/monetised trading with double auction/clearing house. We find that: convergence is faster under non-monetised trading, implying that the necessity of using money to facilitate trade hinders convergence; that monetised trading is noisier than non-monetised trading; and that the volume of trade and realised surpluses are higher with the double auction than the clearing house. As far as efficiency is concerned, monetised trading lowers both informational and allocational efficiency, and while the double auction outperforms the clearing house in terms of allocational efficiency, the clearing house is marginally better than the double auction in terms of informational efficiency when trade is through money. Crucially we confirm the conjecture that inspired these experiments: that the necessity to use money in trading hinders convergence to competitive equilibrium, lowers realised trades and surpluses, and hence may cause unemployment.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

The welfare costs of monopoly are larger than you think

We show that monopoly is the parent of monopsony when an industry employs specialized resources. This means that the welfare loss from monopoly and monopolization is larger than commonly portrayed. Copyright © 2010 John Wiley & Sons, Ltd.     

Hierarchical Markov normal mixture models with applications to financial asset returns

Motivated by the common problem of constructing predictive distributions for daily asset returns over horizons of one to several trading days, this article introduces a new model for time series. This model is a generalization of the Markov normal mixture model in which the mixture components are themselves normal mixtures, and it is a specific case of an artificial neural network model with two hidden layers. The article uses the model to construct predictive distributions of daily S&P 500 returns 1971–2005 and one‐year maturity bond returns 1987–2007. For these time series the model compares favorably with ARCH and stochastic volatility models. The article concludes by using the model to form predictive distributions of one‐ to ten‐day returns during volatile episodes for the S&P 500 and bond return series. Copyright © 2010 John Wiley & Sons, Ltd.