Contagion risk in the interbank market: a probabilistic approach to cope with incomplete structural information

One lesson of the financial crisis erupting in 2008 has been that domino effects constitute a serious threat to the stability of the financial sector, i.e. the failure of one node in the interbank network might entail the danger of contagion to large parts of the entire system. How important this effect is, depends on the exact topology of the network on which the supervisory authorities have typically very incomplete knowledge. In order to explore the extent of contagion effects and to analyse the effectiveness of macroprudential measures to contain such effects, a reconstruction of the quantitative features of the empirical network would be needed. We propose a probabilistic approach to such a reconstruction: we propose to combine some important known quantities (like the size of the banks) with a realistic stochastic representation of the remaining structural elements. Our approach allows us to evaluate relevant measures for the contagion risk after default of one unit (i.e. the number of expected subsequent defaults, or their probabilities). For some quantities we are able to derive closed form solutions, others can be obtained via computational mean-field approximations.     

Technology Exploitation Paths: Combining Technological and Complementary Resources in New Product Development and Licensing

Technological resources in the form of patents, trade secrets, and know‐how have become key assets for modern enterprises. This paper addresses a critical issue in technology and innovation management, namely, the commercial exploitation of technological resources resulting from research and development (R&D) investments. Extracting economic value from these resources by maximizing the benefits for shareholders is an extremely challenging task because technological resources are intangible, idiosyncratic, uncertain, predominantly tacit, and with poorly defined property rights. In their attempt to extract the maximum value from their technological resources, firms increasingly combine their internal exploitation through new product development (NPD) with external exploitation through licensing. However, most existing studies on NPD and technology licensing have treated the two exploitation paths independently and in isolation, which has resulted in two separate research streams using different theories and addressing different managerial challenges. The purpose of this paper is to contribute to filling this gap by developing and testing a comprehensive conceptual framework that simultaneously considers the antecedents affecting the successful implementation of NPD and licensing strategies as well as their consequences on firm profitability. The paper in particular investigates the effects of the interplay between technological resources and three types of complementary resources, marketing, manufacturing, and relational. We test the model using structural equation modeling on a sample of 733 Spanish manufacturing firms observed from 2003 to 2007. The data provide support for the existence of different paths to market firm technologies: an internal path, whereby the ownership of technological resources fully explains NPD performance, and an external path, whereby high intensity of marketing and relational resources reinforces the positive effect of technological resources on licensing performance. This sustains the relevance of the resource‐based value‐enhancing effects of complementary resources in licensing, as opposed to the motivation‐reducing effects advanced by transaction cost‐based literature. Moreover, the empirical analysis shows a substitution effect between NPD and licensing, whereby their simultaneous pursuit at intense levels is associated with lower profit margins. This provides evidence of the much theorized, but seldom tested, rent dissipation effect. These findings offer several contributions to research on licensing, NPD, open innovation, and the resource‐based view of the firm. On a managerial level, they suggest that achieving maximum value from proprietary technologies may not entail exploiting them both through external and internal paths. Managers are also informed that the resource combinations that enhance licensing performance include marketing and relational resources.     

Buy Local! Familiarity and Preferences for Extra Virgin Olive Oil of Italian Consumers

Over the last few years, the origin of the local product has played a central role in consumer choices. This study explores what Italian consumers want and look for when purchasing olive oil by combining a web-based survey and a perceived analysis technique. In particular, preferences for different olive oil attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to Italian consumers (N = 179). From this questionnaire, respondents who indicated their availability to participate further underwent a preference test under blind conditions (N = 99). Respondents also did an expectation test based on the visual observation of the labels. Results showed that the majority of consumers considered local production, PDO and region as factors of highest importance in determining olive oil quality.     

Exploring the role of human resources in technology out-licensing:an empirical analysis of biotech newtechnology-based firms

Out-licensing is a technology exploitation option to generate revenues without investing in downstream complementary assets. Despite its increasing strategic relevance, the strong complexity of out-licensing activity determines a substantial discrepancy in firms’ ability to extract monetary benefits from this practice. Searching for determinants of out-licensing performance, the paper focuses in particular on the role of licensing managers. Based on a multiple case study analysis involving 26 out-licensing deals executed in seven Italian biotech NTBFs, the study shows that expert scientific skills, extensive licensing practice and prior employment in multinationals, but not an intense social network, characterise successful licensing managers, while high delegation and powerful intrinsic rewards enable individual capacities of licensing managers to translate into actual economic value.     

Reassessing Moral Legitimacy in Times of Instability

The presence of conflicting cues about what is legitimate provided by various stakeholders, begs the question of how the legitimacy of contested institutionalized practices is justified. Recent critique of tax minimization strategies exemplifies this difficulty: on one hand, practitioners need to increase shareholders' profits; on the other, a growing number of stakeholders push for ‘fairer’ corporate tax payments. Conducted during a time of public criticism of Australian corporate tax strategies, our study draws on justifications of corporate tax minimization strategies by senior tax practitioners and corporate submissions to a Senate Inquiry on corporate tax avoidance. The study explores how legitimacy judgements come under pressure by conflicting cues. Through the application of Boltanski and Thévenot's (2006) Economies of Worth (EW) framework, we advance legitimacy scholarship by clarifying what constitutes situated judgements in times of instability. Our work puts forward the concept of perceived forecasted consensus as a guide for individuals in making situated legitimacy judgements in times of instability.     

Risk management within the cannabis industry: Building a framework for the cannabis industry

Thirty states and the District of Columbia have legalized the use of cannabis for medicinal and/or recreational use by either formally or informally de‐criminalizing its use. However, cannabis remains a Schedule 1 drug under the Federal Controlled Substances Act (21 U.S.C. Sections 801 through 812), leaving federal law in conflict with the laws of over half of the states. As a result, market participants in legal cannabis businesses face risks due to the industry's unique legal status within the United States. We examine the risks and challenges deemed by the cannabis industry as the top risks facing the industry's continued future growth and its sustainability. In addition to general risks inherent in a nascent industry, a legal cannabis business faces additional risks, such as risks in its banking and finance activity, placement of insurance, payment of taxes, and managing its supply chain. These legal businesses also face true legal risk from the possibility of being shut down by the federal government and seizure of assets and product under the CSA. This paper also examines whether the cannabis industry would benefit from a futures market to mitigate price risk.     

Organizing for Inbound Open Innovation: How External Consultants and a Dedicated R&D Unit Influence Product Innovation Performance

Firms increasingly acquire technological knowledge from external sources to improve their innovation performance. This strategic approach is known as inbound open innovation. The existing empirical evidence regarding the impact of inbound open innovation on performance, however, is ambiguous. The equivocal results are due to moderating factors that influence a firm's ability to acquire technological knowledge from external sources and to transform it into innovation outputs. This paper focuses on a relevant yet overlooked category of moderating factors: organization of research and development (R&D). It explores two organizational mechanisms: one informal and external‐oriented (involvement of external consultants in R&D activities) and one formalized and internal‐oriented (existence of a dedicated R&D unit), in the acquisition of technological knowledge through R&D outsourcing, a particular contractual form for inbound open innovation. Drawing on a capabilities perspective and using a longitudinal dataset of 841 Spanish manufacturing firms observed over the period 1999–2007, this paper provides a fine‐grained analysis of the moderating effects of the two organizational mechanisms. The involvement of external consultants in R&D activities strengthens the impact of inbound open innovation on innovation performance by increasing marginal benefits of acquiring external technological knowledge through R&D outsourcing. Moreover, it reduces the level of inbound open innovation to which the highest innovation performance corresponds. Instead, the existence of a dedicated R&D unit makes the firm less sensitive to changes in the level of inbound open innovation, by reducing marginal benefits of acquiring external technological knowledge through R&D outsourcing, and increases the level of inbound open innovation to which the highest innovation performance corresponds. The results regarding the role of informal and formalized R&D organizational mechanisms contribute to research on open innovation and absorptive capacity, and also inform managers as to what organizational mechanism is recommended to acquire external technological knowledge, depending on the objectives that the firm pursues.     

The Role of Early Adopters in the Diffusion of New Products: Differences between Platform and Nonplatform Innovations

This paper takes a contingency view to investigate how the role of early adopters (EAs) in the diffusion process changes between platform and nonplatform innovations, what launch decisions firms take to leverage the role of EAs, and how these decisions change between platform and nonplatform innovations. Relying on an exploratory multiple case study of eight industrial product innovations launched in Italy in the 2000s, the paper suggests that the EAs of these innovations play two distinct roles in the diffusion process. The first role, called dissemination, sees EAs triggering and bolstering the propagation of information regarding their opinion about the value for money, properties, advantages, and disadvantages of the new product after they have bought and applied it in their operations. The second role, labeled imitation, consists of EAs inadvertently communicating to later buyers the fact that they have bought the new product, which propels imitative behavior and thus subsequent adoption. A key finding of the paper, which supports a contingency view of innovation diffusion, is that the dissemination role played by EAs has an impact on the adoption of platform innovations, whereas the imitation one is the mechanism through which EAs stimulate subsequent adoption in the case of nonplatform new products. Furthermore, the paper's results point to a constructive view of the process of launching an innovation, whereby firms target at launch different segments of EAs, whose identity is shaped depending on the platform versus nonplatform nature of the innovation and thus on the role they are expected to play in the diffusion process. Concerning managerial implications, this study provides a first tentative understanding of the launch decisions that product and marketing managers may use to target the most appropriate segments of EAs, to leverage their roles and ultimately to favor diffusion. As regards platform innovations, targeting decisions should be driven by the goal to improve the chances that EAs will be willing to disseminate their experience and opinion regarding the new product. As regards instead nonplatform innovations, firms should target EAs whose specific characteristics increase the likelihood of an imitative reaction by later buyers that fear to suffer a competitive disadvantage if they do not conform to EAs' behavior.     

Industrial policy and manufacturing targeting in the US: new methodological tools for strategic policy-making

The economic crisis has pushed several countries to adopt selective industrial policies to promote manufacturing and some selected strategic sectors. Despite this new activism, the process of defining strategic targets risks being carried out with poor rigour on a political level, setting governments up for failure. This paper discusses the notion of strategic sector and proposes a new methodology to increase transparency and effectiveness in the identification of what can be defined as ‘strategic’. Focusing on the analysis of the US manufacturing system, we develop a composite indicator – the Strategic Sector Index (SSI) – to rank manufacturing industries on the basis of their strategic significance. Furthermore, we apply an uncertainty analysis methodology to the SSI to evaluate the robustness of the ranking and to minimise the degree of policy-makers’ discretionality in influencing the results.