A theory of global strategic alliances: The case of the global auto industry

The theory articulated in this paper suggests that the desire to reduce demand and competitive uncertainty are two separate, important motives for alliance formation. Taking this as a starting point, we predict the configuration of horizontal alliances that we might expect to observe within an industry when firms experience these uncertainties to different degrees. An empirical test of this theory using data from the global auto industry yields results consistent with the view (1) that alliances are a device for reducing both the uncertainties that arise from unpredictable demand conditions and those that arise from competitive interdependence, and (2) that variation of demand uncertainty and competitive uncertainty across firms explains differentials in both the intensity and structure of their horizontal alliance activity.     

DETERMINANTS OF GOODWILL AMORTIZATION PERIOD

This study investigates whether economic consequences have an effect on the length of the period over which goodwill is amortized. It finds that there is a significant relationship between the size of the firm and the length of the amortization period. It also finds, when the only firms included in the sample are those reporting debt covenant restrictions dependent in part on goodwill accounting, evidence that the length of the amortization period for goodwill is related to the firm's leverage.     

Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.     

Competition and structural change in Eastern Europe

Widely publicized reform programs for East Europe which emphasize rapid privatization are questioned on the grounds that structural changes to assure workable competition take precedence and will take years. A mix of deconcentrated state, cooperative, worker-owned, private, and foreignowned business can be workable. Import competition and antitrust legislation have auxiliary roles.     

FIRST-MOVER ADVANTAGE: THE OPPORTUNITY CURVE

A model depicting first-mover dynamics is proposed wherein certain types of strategic barriers activated by the first-mover strategy figure prominently in preserving benefits in the time dimension. Strategic barriers conferring singularity (i.e. one-time benefit) are considered to be the most effective preservers of first-mover advantage. the theoretical model is tested empirically in a study of six major industries. Benefits operationalized as industry share and profit share were found to decline consistently with industry age according to an exponential function designated the opportunity curve.     

Game theoretic derivations of competitive strategies in conjoint analysis

While conjoint analysis has been applied in a wide variety of different contexts in Marketing, most applications fail to explicitly consider retaliatory reactions from competitors. In this paper, a methodological extension is developed for conjoint analysis by explicitly modeling competition in a game theoretic context. The Nash equilibrium concept is employed to model competitive reactions to produce design, and its implications for reactive product strategies are discussed. The optimal product design problem for each firm is formulated as a nonlinear integer programming problem, which is solved via a specialized branch and bound method combined with a heuristic. In order to compute a Nash equilibrium, a sequential iterative procedure is proposed. The proposed procedure is illustrated under several scenarios of competition using previously published conjoint data.This research has been supported by the Henry Rutgers Research Fellowship, Rutgers University.     

Development and the mystification of ‘cultural factors’: One destiny: Our common future in Africa,by A S van Niekerk

In One destiny: Our common future in Africa the author relates, in popular fashion, a series of incidents which convinced him that the basic difference between black and white in South Africa is cultural deep‐seated and the cause of underdevelopment and conflict He develops a circular argument in which world‐view is taken as the root of perceptions, values and activities. The effects of experience and economic and political factors are given secondary importance. This argument cannot accommodate social change and differentiation, and the author tends to concentrate on perceptions and events which he finds morally unacceptable. He gives an unbalanced assessment and an ethnocentric interpretation of African life. Possible reasons for this type of argument are explored and an alternative which takes its departure from the interaction between experience and perception is offered     

Price-volume relation in stocks: A multiple time series analysis on the Singapore market

We examine the price-volume relation in stocks using the multiple time series approach due to Tiao and Box (1981). This approach has the advantage of treating price and volume jointly and symmetrically (without enforcing the roles of input and output). It is free of the simultaneity bias in regression analysis and the unidirectional dynamics imposed by transfer function models. Empirical results show that there is implicit positive correlation between price and volume through their residuals. However, the results for the explicit lead and lag relations are mixed. The technical analysts' adage that volume often leads the trend of price is not supported. Nonetheless, the implicit relationship between price and volume confirms the usefulness of incorporating volume data to forecast future return. Our analysis shows that the multiple time series models outperform the univariate models in post-sample forecasts.