Entrepreneurial orientation and network board diversity in network organizations

This study extends the concept of entrepreneurial orientation (EO) to the network level to investigate how diversity among officers serving on network organization boards affects network-level entrepreneurial orientation (NEO). Using data from 53 strategic network organizations across five years, we found that insider/outsider and functional diversity among network board members promotes NEO. The results also demonstrate that board group tenure moderates the influence of diversity in opposite ways. The impact of board insider/outsider diversity is stronger in networks in which board members lack long tenure. On the contrary, the effect of functional diversity on network entrepreneurial orientation is stronger in network organizations with tenured boards.     

Technological arbitrage opportunities and interindustry differences in entry rates

In this study we investigate the relationship between technological arbitrage opportunities and entry rates in twenty-six industries over the course of five years. Arbitrage opportunities are shown to be a positive and significant predictor of business entry rates. Such positive effect is weakened in industries with strong appropriability regime including effective patents, secrecy, and lead time. Adding arbitrage opportunities to the typical determinants of entrepreneurship such as innovative opportunities significantly increases predictive power of the regression models.     

A conceptual framework for misfit technology commercialization

The emerging literature on outbound open innovation has highlighted innovation processes, which presuppose active outward technology transfer to increase firm profits. To contribute to this discourse, our paper goes beyond the emphasis on core-related technologies and knowledge that currently dominates the technology management literature and develops the novel concept of misfit technology. This concept captures technologies that are not aligned with a focal firm's current knowledge base and/or business model, but which may still be of great value to the firm if alternative commercialization options are considered. By developing a framework that acknowledges (1) Sources of misfit technology, (2) Environmental uncertainty, (3) Organizational slack, (4) Industry appropriability regime and (5) Technological complexity, we theorize on how different modes of commercialization relate to misfit technology commercialization success. The paper is conceptual and is presented with the purpose to spawn further research on this important topic, but simultaneously touches upon the issues of utmost relevance to R&D management practice.     

Market Imperfections, Investment Flexibility, and Default Spreads

This paper develops a structural model that determines default spreads in a setting where the debt's collateral is endogenously determined by the borrower's investment choice, and a demand variable with permanent and temporary components. We also consider the possibility that the borrower cannot commit to taking the value‐maximizing investment choice, and may, in addition, be constrained in its ability to raise external capital. Based on a model calibrated to data on office buildings and commercial mortgages, we present numerical simulations that quantify the extent to which investment flexibility, incentive problems, and credit constraints affect default spreads.     

A Dynamic Model of Optimal Capital Structure

This paper presents a continuous time model of a firm that candynamically adjust both its capital structure and its investmentchoices. In the model we endogenize the investment choice aswell as firm value, which are both determined by an exogenousprice process that describes the firm's product market. Withinthe context of this model we explore cross-sectional as wellas time-series variation in debt ratios. We pay particular attentionto interactions between financial distress costs and debtholder/equityholderagency problems and examine how the ability to dynamically adjustthe debt ratio affects the deviation of actual debt ratios fromtheir targets. Regressions estimated on simulated data generatedby our model are roughly consistent with actual regressionsestimated in the empirical literature.     

Investment frictions and leverage dynamics

The paper examines the effect of investment frictions on leverage dynamics, using a model of a firm whose investment projects are (1) indivisible and lumpy, and (2) subject to time-to-build. Regressions on the model-simulated data demonstrate that investment frictions can provide alternative interpretations of the observed leverages shown in the empirical literature. Cross-sectional analysis of firms in the oil and gas extraction industries, as well as analysis across all industries, reveals the evidence that small firms have more volatile investments and longer time-to-build, which may explain the observed differences in leverage dynamics across small and large firms.     

Network board continuity and effectiveness of open innovation in Swedish strategic small-firm networks

Increasing adoption of open innovation as an alternative route to research and development necessitates the development of new ways to organize innovation, as well as reassessment of existing ways. Much like traditional corporations that subscribe to the closed innovation paradigm, novel organizational arrangements targeting open innovation, such as small-firm networks, employ boards to effectively manage joint research-and-development activities. These boards are similar yet different from traditional corporate boards; as such, they may have different requirements for proper functioning. We use 5-year longitudinal data on 53 Swedish strategic small-firm networks to investigate how the boards should be organized to help improve the innovative status of network participants. We expand the set of tools available for effective organization of the boards' operations and emphasize the effects of network board continuity (rates of renewal) on network members' innovative performance. We argue that the relationship is curvilinear (U-shaped) and demonstrate that it is more pronounced in larger networks.     

Competition in the traditional sector does not matter for the ‘Core–Periphery’ model

We modify Paul Krugman’s (1991) ‘Core–Periphery’ model by replacing the traditional competitive sector with a monopolistically competitive one. We show that the structure of spatial equilibria remains the same as in the original model. This result continues to hold true under Cournot or Bertrand oligopolistic competition with free entry in the traditional sector. The key factor that explains why the nature of competition in the traditional sector does not matter for the spatial equilibria is constant expenditure shares–due to nested Cobb–Douglas and CES preferences–which imply that trade in the traditional sector is independent from its sectoral characteristics.     

Nonparametric estimation for a current status right‐censored data model

We consider the Case 1 interval censoring approach for right‐censored survival data. An important feature of the model is that right‐censored event times are not observed exactly, but at some inspection times. The model covers as particular cases right‐censored data, current status data, and life table survival data with a single inspection time. We discuss the nonparametric estimation approach and consider three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudolikelihood, and the naïve estimator. We establish strong consistency of the estimators with the L₁ rate of convergence. Simulation results confirm consistency of the estimators.     

Forward-looking versus recursive-dynamic modeling in climate policy analysis: A comparison

This paper develops a multi-regional general equilibrium model for climate policy analysis based on the latest version of the MIT Emissions Prediction and Policy Analysis (EPPA) model. We develop two versions so that we can solve the model either as a fully inter-temporal optimization problem (forward-looking, perfect foresight) or recursively. The standard EPPA model on which these models are based is solved recursively, and it is necessary to simplify some aspects of it to make inter-temporal solution possible. The forward-looking capability allows one to better address economic and policy issues such as borrowing and banking of GHG allowances, efficiency implications of environmental tax recycling, endogenous depletion of fossil resources, international capital flows, and optimal emissions abatement paths among others. To evaluate the solution approaches, we benchmark each version to the same macroeconomic path, and then compare the behavior of the two versions under a climate policy that restricts greenhouse gas emissions. We find that the energy sector and CO₂ price behavior are similar in both versions (in the recursive version of the model we force the inter-temporal theoretical efficiency result that abatement through time should be allocated such that the CO₂ price rises at the interest rate.) The main difference that arises is that the macroeconomic costs are substantially lower in the forward-looking version of the model, since it allows consumption shifting as an additional avenue of adjustment to the policy. On the other hand, the simplifications required for solving the model as an optimization problem, such as dropping the full vintaging of the capital stock and fewer explicit technological options, likely have effects on the results. Moreover, inter-temporal optimization with perfect foresight poorly represents the real economy where agents face high levels of uncertainty that likely lead to higher costs than if they knew the future with certainty. We conclude that while the forward-looking model has value for some problems, the recursive model produces similar behavior in the energy sector and provides greater flexibility in the details of the system that can be represented.