It’s in the Mix: How Firms Configure Resource Mobilization for New Product Success

This paper aims to deepen the understanding about when and how the mobilization of resources through strong and weak ties in a focal firm’s network can affect new product success. It addresses two significant gaps in the literature. While prior research has advanced the understanding of how factors around tie strength, resource mobilization, and environmental characteristics relate to new product development, it has yet to offer a more holistic understanding of the interconnected structures and the interplay among these factors. Furthermore, limited insights exist about how firms could utilize resource mobilization approaches in different environmental contexts to enhance new product success. Building on resource dependence theory, this paper contributes to prior work by adopting configuration theoretical considerations and performing an empirical investigation to identify necessary and sufficient conditions for new product success. Based on data from a survey of 354 managers from manufacturing and services firms in the United Kingdom, the study conducts a configurational comparative study based on fuzzy‐set Qualitative Comparative Analysis to examine configurations of strong‐tie and weak‐tie resource mobilization approaches within particular environmental contexts for new product success. The findings reveal alternative, equifinal configurations for new product success, and add to the existing body of work by connecting the notions of network ties, resource mobilization, and context dependence, as well as by developing an integrative framework to explain the interplay of remote and proximate conditions for new product success. For management practice, this study offers guidance in describing and diagnosing business contexts that enhance new product success, and in identifying resource mobilization action repertoires to capitalize on these contexts.     

How does public spending affect technical efficiency? Some evidence from 15 European countries

The relationship between government size and economic growth has been widely debated. Revisiting the subject from a distinct angle with respect to the mainstream approach, we provide an empirical analysis of the impact of government size on technical efficiency. The aim of this paper is to estimate the impact of public sector's size and of public expenditure components on 15 European countries’ technical efficiency from 1996 to 2014 by using a True Random Effect model. Using the total public expenditure as a proxy for the government size we estimate simultaneously national optimal production function and technical efficiency by controlling for income distribution and institutional quality. Our main findings show that the effect of public sector's size on efficiency is positive while the type of public expenditures may have both positive and negative impact. In more details, results suggest that education and health expenditures have a positive effect on technical efficiency, while others have a negative impact.     

ESTIMATES OF THE PRICE ELASTICITY OF SWITCHING BETWEEN BRANDED AND GENERIC DRUGS

We estimate price elasticities of switching from branded to generic drugs for two widely used drugs: Prozac and Zocor. We find the price elasticity of switching varies by drug and is between 0.01 and 0.10. While elasticity estimates for Zocor are robust to the inclusion of controls for supply‐side factors, those for Prozac are not. Our results indicate consumers in managed care plans are most responsive to differences in out‐of‐pocket (OOP) cost, and we estimate that a 10% increase in the OOP cost difference between Zocor and generic Simvastatin increases an individual's probability of switching to the generic by approximately 0.3%. This would result in a modest total savings of $36,700 among our sample of 114,218 privately insured Zocor users. Our finding that individuals are relatively unresponsive to the lower prices caused by generic introduction implies that policies targeting supply‐side behavior are likely to have a larger effect on generic uptake than price‐based inducements. If generic‐uptake did occur immediately within the first 18 months after generic introduction, the total savings among individuals and insurance companies within our sample would be approximately $7 million for Zocor and $255,000 for Prozac. (JEL I11, I18)     

Modeling hedge fund exposure to risk factors

This paper examines the adjustment dynamics of hedge fund returns and studies their exposure to risk factors in a nonlinear framework for several types of strategies over the last two decades. Nonlinearity is justified by distortions due to the use of short selling, leverage, derivatives and illiquid assets for hedge fund strategies. Among nonlinear models, switching regime (STR) models are applied to reproduce the dynamics of hedge fund returns. This nonlinear multivariate modeling has the advantage of capturing the time-varying exposure of hedge fund strategies to risk factors, and of specifying the asymmetric relationship between hedge fund returns and risk. The findings are interesting and provide several contributions to the hedge fund literature. First, we show that the dynamics of hedge fund returns exhibit significant asymmetry and nonlinearity, indicating that they evolve and vary asymmetrically in accordance with stages in financial cycles. Second, hedge fund exposure to risk factors also varies over time, depending on the strategy and the regime. Finally, our modeling captures the most important changes in hedge fund exposure to risk factors induced by the recent global financial crisis (2008–2009).     

Selective Entry in Highway Procurement Auctions

When participating in an auction is costly, a potential bidder has to decide whether to enter the auction or not. The extent to which the potential bidders know their private cost before making their entry decisions determines how selective the entry process is. Endogenous selective entry is common in many auctions and it has important implications for designing auctions, in particular, choosing the bid discount policy that is frequently used in public procurements to achieve distributional goals of the government. Prior empirical studies of the bid preferences were based on frameworks that either did not explicitly model endogenous participation or assumed endogenous, but non-selective participation. This study empirically investigated whether the entry process is selective in the highway procurement auctions run by the California Department of Transportation. To this end, the asymmetric affiliated-signal model was adapted to permit endogenous selective entry. Model parameters, including entry costs and distributions of construction costs for regular and fringe companies, were estimated nonparametrically. The results show evidence favoring selective entry of the fringe firms and imply that the level of bid discount required to achieve the procurement buyer’s policy objective may be lower than what is previously found in the literature under the assumption of non-selective entry.