Marketing and r&d strategies for biotechnology firms in the usa

This pape reports on a survey of 64 biotechnology firms in the USA about their R&D strategy, marketing focud and sources of technology. The survey explored the interrelationships among the strategic issues and how they were related with the means of appropriating R&D results. Three stralegic clusters for technology acquisitin emerged from the data: (i) internal developer, (ii) joint developer, and (iii) cooperative financed. Three marketing clusters were: (i) market penetartor, (ii) innovative marketer, and (iii) market developer. The R&D clusters were: (i) defensive strategy, (ii) aggressive strategy, and (iii) research-intensive strategy. External sources of technology appeared to be predominant among thje various firms and apparently marketing strategy and source of technology had no significant relationship. Most of the firms were involved with commercial innovation in their R&D strategy and few were research specialists. Innovative firms were inclined to depend on external sources sources of technology. Issues related to appropriability of R&D results for the different groups have been examined for their implications for public policy.     

Industry characteristics influencing the technical output: A case of small and medium size firms in the US

Using the small and medium size firms in the US as a sample, this paper reports on interrelationship among patents, publications and new products. Correlates of R&D expenditure, patents and papers and new products are presented. Relationships between firm size and R&D output and productivity are also investigated.
Since the study is based on correlational analysis, causal inferences are not drawn. The data indicates that the three indicators are related, but their strength of relationship varies with industries. Growth of sales is related with new products, but not with patents or papers.
Although the data point to the fact that small firms are more productive than their larger counterparts, there are many reasons to come to such a sweeping generalisation. Reporting of R&D data is not reliable for small firms as the very definition of R&D differs from firm to firm. Nature of R&D also changes as the firm grows in size; opportunities for patents or new products also change accordingly. These make it difficult to accurately measure and compare the R&D efficiency across firms of different sizes.     

An expectations-driven interpretation of the “Great Recession”

The boom-years preceding the “great recession” were a time of rapid innovation in the financial industry. We explore the idea that both the boom and eventual bust emerged from overoptimistic expectations of efficiency-gains in the financial sector. We treat the bankruptcy costs facing intermediaries in a costly state verification problem as a stochastic process, and model the boom-bust in terms of an unfulfilled news-shock where the expected fall in costs are eventually not realized. In response to a change in expectations only, the model generates a boom-bust cycle in aggregate activity, asset prices and leverage, and a countercyclical credit spread.     

Executive compensation, share repurchases and investment expenditures: econometric evidence from US firms

This paper modeled the dynamic inter-relationships between average salary, bonus, and stock options granted to top executives of 700 US firms using a merged ExecuComp and Compustat database. The effects of stock options granted and exercised on firms’ share repurchases and research and development and investment expenditures were investigated, taking into account simultaneity and distributional misspecification aspects. First, firms’ total assets, intangible assets, market-to-book value, and share repurchases were positively associated with the values of stock options granted. Second, stock options exercised in the previous year were significant predictors of share repurchases indicating that firms avoided dilution of earnings per share. Third, share repurchases and stock options granted were negatively associated with expenditures on research and development and long-term investments. Overall, the results suggest that high levels of stock options granted to executives and share repurchases are unlikely to have beneficial effects for raising future productivity.     

Speeding Up the Pace of New Product Development

This study empirically investigates a wide array of factors that have been argued to differentiate fast from slow innovation processes from the perspective of the research and development organization. We test the effects of strategic orientation (criteria- and scope-related variables) and organizational capability (staffing- and structuring-related variables) on the speed of 75 new product development projects from ten large firms in several industries. Backward-elimination regression analysis revealed that (a) clear time-goals, longer tenure among team members, and parallel development increased speed, whereas (b) design for manufacturability, frequent product testing, and computer-aided design systems decreased speed. However, when projects were sorted by magnitude of change, different factors were found to influence the speed of radical and incremental projects. Moreover, some factors that sped up radical innovation (e.g., concept clarity, champion presence, co-location) were found to slow down incremental innovation. Together, the radical and incremental models explain differences in speed better than the general model. This suggests a contingency approach to speeding up innovation. Implications for researchers and managers are discussed.     

Persistent real exchange rates

Three well known facts that characterize exchange rate data are: (a) the high correlation between bilateral nominal and real exchange rates; (b) the high degree of persistence in real exchange rate movements; and (c) the high volatility of real exchange rates. This paper attempts a joint, albeit partial, rationalization of these facts in an environment with no staggered contracts and where prices are preset for only one quarter. There are two key innovations in the paper. First, we augment a standard two-country open economy model with learning-by-doing in production at the firm level. This induces monopolistically competitive firms to endogeneize the productivity effect of their price setting behavior. Specifically, firms endogenously choose not to adjust prices by the full proportion of a positive monetary shock in order to take advantage of the productivity benefits of higher production. Second, we introduce habits in leisure. This makes the labor supply decision dynamic and adds an additional source of propagation. We show that the calibrated model can quantitatively reproduce significant fractions of the aforementioned facts. Moreover, as in the data, the model also produces a positive correlation between the terms of trade and the nominal exchange rate.     

On the efficiency comparison of certain randomized response strategies

Comparisons between different randomized response strategies have already been performed by several workers but all have concentrated solely on comparing the variances of the appropriate estimators. A very little attention has been paid by these workers to the degree of privacy protection offered to the interviewees. In the present paper, an attempt has been made in this direction and some important randomized response strategies have been compared with the Warner's model, taking into account the aspect of privacy protection. Received February 2000     

Marketing and r&d strategies for biotechnology firms in the usa

This pape reports on a survey of 64 biotechnology firms in the USA about their R&D strategy, marketing focud and sources of technology. The survey explored the interrelationships among the strategic issues and how they were related with the means of appropriating R&D results. Three stralegic clusters for technology acquisitin emerged from the data: (i) internal developer, (ii) joint developer, and (iii) cooperative financed. Three marketing clusters were: (i) market penetartor, (ii) innovative marketer, and (iii) market developer. The R&D clusters were: (i) defensive strategy, (ii) aggressive strategy, and (iii) research-intensive strategy. External sources of technology appeared to be predominant among thje various firms and apparently marketing strategy and source of technology had no significant relationship. Most of the firms were involved with commercial innovation in their R&D strategy and few were research specialists. Innovative firms were inclined to depend on external sources sources of technology. Issues related to appropriability of R&D results for the different groups have been examined for their implications for public policy.     

Behavioral biases of mutual fund investors

We examine the effect of behavioral biases on the mutual fund choices of a large sample of US discount brokerage investors using new measures of attention to news, tax awareness, and fund-level familiarity bias, in addition to behavioral and demographic characteristics of earlier studies. Behaviorally biased investors typically make poor decisions about fund style and expenses, trading frequency, and timing, resulting in poor performance. Furthermore, trend chasing appears related to behavioral biases, rather than to rationally inferring managerial skill from past performance. Factor analysis suggests that biased investors often conform to stereotypes that can be characterized as Gambler, Smart, Overconfident, Narrow Framer, and Mature.     

Estimating potential for aftermarket requirements

This article will focus mainly on utility electric plant maintenance with particular emphasis on steam (nonnuclear) turbine-generator maintenance. Our objective has been to identify and examine relationships between the target market and other recorded key operating parameters that would be useful for future forecasting of trends in the target market.