Technical risk and new product success: An empirical test in high technology business markets

Following a methodology similar to the one used in Cooper's NewProd studies, this study examines the impact of technical risk on the ability to predict new product success in high technology business markets. Cooper's original 48 new product characteristics along with 10 new items measuring technical risk are used in examining 406 actual industrial new product success and failures. The findings show the importance of the addition of technical risk assessment in predicting the potential success or failure of new high technology industrial products.     

Globalizing the emerging high-technology company

Two traditional models of global expansion were evaluated in an exploratory effort to explain the globalization patterns of emerging high-technology companies. In-depth field interviews were conducted with 19 Massachusetts-based companies that supply software or peripheral products for desktop computing to explore: their timing and aggressiveness in entering markets outside of North America; their structures and patterns for expansion; and their success. Sampled companies report nondomestic revenues ranging from 6% to 58% of their totals. Statistical analyses of “globalization success,”, defined here as how quickly a company achieves substantial percentage of revenues from nondomestic markets, support an integrated model of globalization that combines a cluster of other influences with elements of Vernon's specific product cycle model and aspects of the more generic internationalization process models. In accordance with Vernon, high-tech products are developed primarily for the home market but are soon transferred overseas, more slowly to “lagging markets.” In contrast with Vernon, many different selling arrangements are employed, and overseas production does not follow for most high-tech firms. In accordance with the general internationalization theory, when high-tech companies perceive foreign markets as risky they proceed cautiously, often using outside specialists to facilitate market entry and increase their involvement over time as their familiarity increases. But in contrast with this, many high-tech firms, especially the most successful, do not even perceive such riskiness and do not exhibit such caution. Unrelated to either of those two models, and building upon the work of Ragman et al.[1], globalization success is most strongly linked to how aggressively senior management allocates internal resources to developing an overseas business model that approximates the company's u.S. model of selling/distributing. External environmental forces, too, such as the varied adoption rates of the underlying desktop computing platforms themselves as well as regulatory factors, also affect globalization of high-tech products and companies.     

Panel data estimates of the production function and product and labor market imperfections

Consistent with two models of imperfect competition in the labor market—the efficient bargaining model and the monopsony model—we provide two extensions of a microeconomic version of Hall's framework for estimating price‐cost margins. We show that both product and labor market imperfections generate a wedge between factor elasticities in the production function and their corresponding shares in revenue, which can be characterized by a ‘joint market imperfections parameter’. Using an unbalanced panel of 10,646 French firms in 38 manufacturing industries over the period 1978–2001, we can classify these industries into six different regimes depending on the type of competition in the product and the labor market. By far the most predominant regime is one of imperfect competition in the product market and efficient bargaining in the labor market (IC‐EB), followed by a regime of imperfect competition in the product market and perfect competition or right‐to‐manage bargaining in the labor market (IC‐PR), and by a regime of perfect competition in the product market and monopsony in the labor market (PC‐MO). For each of these three predominant regimes, we assess within‐regime firm differences in the estimated average price‐cost mark‐up and rent sharing or labor supply elasticity parameters, following the Swamy methodology to determine the degree of true firm dispersion. To assess the plausibility of our findings in the case of the dominant regime (IC‐EB), we also relate our industry and firm‐level estimates of price‐cost mark‐up and extent of rent sharing to industry characteristics and firm‐specific variables respectively. Copyright © 2011 John Wiley & Sons, Ltd.     

Do High-technology Exports Cause More Technology Spillover in China？

The volume of China’s high-technology exports has grown sharply since the implementation of its export promotion strategy "Revitalizing Trade through Science and Technology" in 1999.This paper investigates whether technology spillover effects are greater for hightechnology exports than for primary manufactured goods exports.We present a generalized multi-sector spillover model to identify both between spillover effects from exports towards non-exporters and within-spillover effects among export sectors.Using panel data for 31 provinces in China over the period from 1998 to 2005,we find that although high-technology export sectors have higher productivity compared with other sectors,this productivity advantage does not lead to technology spillover to both domestic sectors and other export sectors,and export technology spillover mainly derives from traditional export sectors rather than high-technology export sectors.As such findings can be largely attributed to the fact that China’s high-technology exports depend significantly on processing trade by foreign- invested firms,policy implications are discussed in relation to how to best promote the role of China’s high-technology exports during economic expansion.     

A comparative analysis of security pricing using factor, macrovariable and arbitrage pricing models

This study compares and contrasts the single factor, three factor, macrovariable and APT models, using industry portfolios of all available firms on CRSP from 1980 to 1992. Comparatively, the APT is best, macrovariable second best and single factor model worse in pricing securities. Consistently, the market variable is cross sectionally priced in all models, and two of four APT factors capture the majority of variance in industry returns. In the latter case, factor three is ***DIRECT SUPPORT *** A00DH002 00002 consistently related to market returns, and factors two and three are also associated with risk premiums and exchange rates after 1987. Factor four is not related to any macrovariable, and term structure and production are never related to any risk factor.     

The relationship between machistic tendencies and budgeting: A cross-cultural study

Increasing globalization in business heightens the importance of understanding cultural differences and their effects on business practice. In this light, an empirical cross-cultural study comparing U.S. and Latin American respondents was made to determine the relationship between machistic tendencies and budgeting. Though difficulty was experienced in defining the machism variable, three stereotypes, Chauvinist, Classic, and Aggressive, were identified. These stereotypes are associated with one's cultural orientation (Latin American or U.S.) and predicted budgetary behavior in terms of budget procedural attitude, culpability, and risk attitude.     

On the determinants of national saving: An extreme-bounds analysis

On the Determinants of Saving: An Extreme-Bounds Analysis. — We use extreme-bounds analysis to examine the reliability of estimates of various determinants of national saving. Results from the cross-sectional data are discouraging, for few of the standard determinants identified in the theoretical and empirical saving literature can pass robustness tests. However, our panel analysis is much more encouraging. We found agricultural share in total output, public saving, budget balance, and the current account balance are indeed robust. Furthermore, when we applied a modified form of sensitivity analysis, we found that seven variables are very robust. Generally, the most commonly specified determinants of saving provide limited guidance in understanding and predicting saving behavior.