What patents are used as collateral?—An empirical analysis of patent reassignment data

Only anecdotal evidence exists that ventures use patents as collateral to access debt financing. In this paper, we use a novel dataset on patent reassignments with a security interest to explore quantitatively what patents are used as collateral. We analyze characteristics of patents to disentangle whether it is the technology underlying a patent or the patent's exclusion right per se matters for collateralization. We do find empirical support only for technology-related characteristics, suggesting that lenders use patents to collateralize high-quality technology that can, in case of default, be redeployed to ventures in similar technology fields. On the other hand, patent-related characteristics like scope, which are, in general, related to patent value and are particularly important for non-practicing entities, do not matter.     

Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf

Färe and Grosskopf (this issue) claim that a single abatement factor suffices for modeling weak disposability in nonparametric production models, and that the Kuosmanen (2005) technology that uses multiple abatement factors is larger than necessary. This article demonstrates by a numerical example that a single abatement factor does not suffice to capture all feasible production plans, and that its use leads to the violation of convexity, one of the maintained assumptions of the model. We also prove that the Kuosmanen technology is the correct minimum extrapolation technology under the stated axioms.     

Corporate Strategies for Managing Climate Risks

This paper focuses on organizations and their management of climate risks. Climate risks stem from continued changes in climate means and the increase in frequency and intensity of extreme weather events. We ask whether companies also apply the usual process of corporate risk management to climate risks. In seeking to answer this question, we review several literature streams in order to set out an initial theoretical reflection. Based on this we conducted an exploratory case study with 11 electric utilities. Our results illustrate that these companies perceive climatic changes as a material issue for their business. However, management has restricted knowledge about such climatic changes and thus cannot precisely determine the potential negative impacts on business activities. As a consequence, the companies have implemented a climate risk management that does not differ from the usual process of managing other business risks. Our results further illustrate that there is some variation in how individual firms manage climate risks: While risk identification and risk assessment are equally important for all electric utilities, there are differences in how management determines the direction of the individual response to climate risks. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

Ecology-Driven Real Options: An Investment Framework for Incorporating Uncertainties in the Context of the Natural Environment

The role of uncertainty within an organization’s environment features prominently in the business ethics and management literature, but how corporate investment decisions should proceed in the face of uncertainties relating to the natural environment is less discussed. From the perspective of ecological economics, the salience of ecology-induced issues challenges management to address new types of uncertainties. These pertain to constraints within the natural environment as well as to institutional action aimed at conserving the natural environment. We derive six areas of ecology-induced uncertainties and propose ecology-driven real options as a conceptual approach for systematically incorporating these uncertainties into strategic management. We combine our results in an integrative investment framework and illustrate its application with the case of carbon constraints.     

Metatheory of network management: A contingency perspective

This paper introduces a metatheoretical, contingency-based framework of inter-organizational network management. We define four basic network management functions and suggest that they are universal to all inter-organizational networks. We argue that management tasks, derived from more general management functions and contingent upon network characteristics, differ according to network type. We further argue that the roles that different actors in a network can adopt depend on their resources and capabilities. The framework contributes to the emerging theory of network management by clarifying the connections between its different conceptualizations and layers. A clear implication of the framework is that it is fundamentally useless to argue that networks cannot be managed. Networks are being managed, all of the time. However, we agree that the extent to which networks can be managed differs from one network to another along with the managerial tasks employed.     

Network mobilizers and target firms: The case of saving the Baltic Sea

This paper examines why and how firms participate in issue networks that aim at solving contemporary complex problems. We build mainly on network and stakeholder literatures to understand mobilization from a relational perspective. Drawing on a single embedded case study of four initiatives to save the Baltic Sea, we build a multilevel model for firm participation in issue networks. Besides discovering diverse motivational factors, the model sheds light on the interaction between individual, organization, and network levels factors explaining mobilization. We argue that there is high theoretical, managerial, and societal relevance for studying the dynamics of issue networks—a topic which could be better incorporated in the research agenda of business network scholars.     

One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient,root-<Emphasis Type="Italic">n</Emphasis> consistent StoNEZD method

Understanding the effects of operational conditions and practices on productive efficiency can provide valuable economic and managerial insights. The conventional approach is to use a two-stage method where the efficiency estimates are regressed on contextual variables representing the operational conditions. The main problem of the two-stage approach is that it ignores the correlations between inputs and contextual variables. To address this shortcoming, we build on the recently developed regression interpretation of data envelopment analysis (DEA) to develop a new one-stage semi-nonparametric estimator that combines the nonparametric DEA-style frontier with a regression model of the contextual variables. The new method is referred to as stochastic semi-nonparametric envelopment of z variables data (StoNEZD). The StoNEZD estimator for the contextual variables is shown to be statistically consistent under less restrictive assumptions than those required by the two-stage DEA estimator. Further, the StoNEZD estimator is shown to be unbiased, asymptotically efficient, asymptotically normally distributed, and converge at the standard parametric rate of order n ^−1/2. Therefore, the conventional methods of statistical testing and confidence intervals apply for asymptotic inference. Finite sample performance of the proposed estimators is examined through Monte Carlo simulations.     

Technology product evolution and the diffusion of new product features

The evolution of technology products can be analysed on multiple levels. Product categories go through continuous evolution determined by the cumulative changes in the features of new product models. This is manifested in the diffusion of new product features and in the increasingly vague boundaries between different product generations. This article develops an approach for planning and forecasting technology product evolution and the diffusion of new product features. This is achieved by isolating the phenomena underlying the evolution process, and formulating the process at the product category, product feature, and product model levels. The approach is derived from these formulations combining the primarily demand-driven product category diffusion and product unit replacement behaviour, and the more supply-driven product feature dissemination. The approach enables meaningful sensitivity analysis including the analysis of discontinuities. The developed approach is applied to characterise the evolution of an example product category of mobile handsets and to forecast the diffusion of mobile handset features using extensive longitudinal and cross-sectional data collected from Finland. In consequence, the process of technology product evolution and the phenomenon of product feature dissemination are suggested as extensions to research on product category diffusion and replacement.     

Communication and reputation in procurement auctions — Some empirical evidence

This paper studies communication and reputation in market interactions using data from online procurement auctions. Positive reputation ratings and engaging in communication increase a bidder’s probability of winning. Messages are primarily used to reduce the asymmetric information associated with transactions.     

Changes in the fiscal stance and the composition of public spending

We consider the impact of both cyclical and structural changes in the fiscal stance on public spending composition for a panel of EU countries, including individual components of public investment. We find that both cyclically induced and structural changes in the fiscal stance affect the composition of public spending, with fiscal tightening of both types increasing the relative share of investment and loosening favouring consumption expenditure. Of the components of public investment, infrastructure and redistribution respond to cyclical changes in the fiscal stance, while investment in hospitals and schools responds most clearly to structural changes.