The effects of funding source and management ownership on the productivity of R&D

This study investigates the influence of the source of R&D funds and management ownership on R&D productivity. The lagged effect of the source of R&D funds on R&D output is investigated for a sample of US manufacturing firms in five industries over the 1996–99 period. Estimates based on 779 firm-years show that R&D productivity increases with the proportion of stock held by managers and directors of firms primarily in the Other Electronics industry. The estimates also show that recipients of government-sponsored R&D funds in the Chemicals industry have lower levels of output (sales) for each dollar committed to R&D. In addition, output for firms in the Chemicals industry worsens as management stockholding increases, implying an agency cost rationale for the observed difference in output. The implication is that firms with high manager-owner content are less productive with government-sponsored R&D than with company-financed R&D. The reported results suggest that potential agency costs should be incorporated in government-sponsored R&D contracts. It also suggests that the source of R&D funds should be disclosed and incorporated into the valuation of intangible assets attributable to research and development.     

Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types,capabilities, environmental uncertainty,and firm performance

The Miles and Snow strategic type framework is re‐examined with respect to interrelationships with several theoretically relevant batteries of variables, including SBU strategic capabilities, environmental uncertainty, and performance. A newly developed constrained, multi‐objective, classification methodology is modified to empirically derive an alternative quantitative typology using survey data obtained from 709 firms in three countries (China, Japan, United States). We compare the Miles and Snow typology to the classification empirically derived utilizing this combinatorial optimization clustering procedure. With respect to both variable battery associations and objective statistical criteria, we show that the empirically derived solution clearly dominates the traditional P‐A‐D‐R typology of Miles and Snow. Implications and directions for future research are provided. Copyright © 2004 John Wiley & Sons, Ltd.     

Simultaneous Estimation of Legal and Illegal Supply and Demand: The Case of Motion Pictures

Prior research into illegal goods has typically looked at one-way effects, such as illegal demand on legal demand. This research investigates a previously unexamined component of the market, illegal supply. The authors examine the supply and demand of legal goods and their illegal counterparts as a market system of four interdependent components. This research makes theoretical and empirical contributions by evaluating illegal supply in this system. Simultaneous equations estimate each market component on the others using data from the motion picture industry. The results find illegal supply has no effect on legal supply (movie screens), positive effects on illegal demand (piracy downloads), and some effect on legal demand (box office revenues). Timing effects highlight this: illegal supply has a positive effect on legal demand during a film’s opening week, but no effect post-launch. The other market components have positive effects on illegal supply (except legal supply, which is negative in the opening week). Additionally, illegal demand has a negative effect on legal demand during the opening week of release, but not in the subsequent weeks. This finding alleviates prior research tension as to whether piracy helps or hurts legal sales, as omitting illegal supply could result in biased estimates.     

B2B relationship calculus: quantifying resource effects in service-dominant logic

Increasingly, knowledgeable business-to-business (B2B) customers and evolving customer needs are leading to seismic shifts in vendor–client interactions. Across industries, sellers are changing their business models from a simple goods orientation to a hybrid goods–services model, placing greater emphasis on delivering complete customer solutions. In such an environment, companies must find ways to prioritize investments in resource development. The service-dominant (S-D) logic framework offers significant insights into this challenge; however, these effects have not been tested quantitatively. This study addresses that gap, examining the influence of various seller resources on buyer satisfaction. An empirical analysis of buying organizations that purchased and implemented business intelligence systems finds that “augmented” operant resources that the buyers ascribe to the software’s sellers—resources that go above and beyond expectations—are the most significant predictors of both successful technology assimilation and overall customer relationship quality. In particular, an augmented operant resource reflecting a seller’s ability to see value creation opportunities from the buyer’s perspective (value mindset) has up to three times the effect on relationship satisfaction as “core” operant resources such as product-specific expertise or basic interpersonal service skills. These results can help sellers prioritize resource investments.     

Portrayals of Minorities and Women in Super Bowl Advertising

Portrayals of women and minorities advertising have long been of interest to advertising scholars. While research has found that the overall representation of these groups has increased, some stereotypes persist, and so do questions about the quality and prominence of portrayals. This study examines portrayals of minorities and women in Super Bowl advertising, the main “pop culture” showcase for US advertising. A content analysis of 10 years of Super Bowl ads is conducted and a multinomial logit regression model is employed to delve deeper into the content analysis results. Findings show that while the overall representation of women and various minority groups is strong, a deeper analysis shows that these groups are seldom depicted as primary characters by themselves and that some subtle stereotypes persist. We also find that ads featuring female principal characters are more likely to feature home settings, sexual appeals, emotional messages, and music as a major element and that it is less likely for female (vs. male) celebrities to be used. Minority principal characters are more likely to be celebrities and be included in ads with music or for technical products but are less likely to be included in ads featuring corporate social responsibility messages.