Conflict of interest and certification in the U.S. IPO market

We examine the long-term return performance of U.S. IPOs underwritten by relationship banks. We show that, over one- to three-year horizons, IPOs managed by relationship banks experience buy-and-hold benchmark-adjusted returns that are similar to those observed for a matching sample of stocks managed by non-relationship underwriters. This result holds even when the returns' skewness and cross-sectional correlation is accounted for. Further, we examine the calendar-time returns on a portfolio that is long the stocks underwritten by relationship banks and short ex-ante similar stocks taken public by non-relationship institutions. Again, we conclude that the two groups of IPOs yield similar long-run returns. These findings support the certification role of relationship banks and suggest that, in this respect, the effect of the 1999 repeal of Sections 20 and 32 of the Glass–Steagall Act has not been negative.     

Innovation and Design in the Age of Artificial Intelligence

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been taken by humans. What happens when they can be substituted by machines? Artificial Intelligence (AI) brings data and algorithms to the core of the innovation processes. What are the implications of this diffusion of AI for our understanding of design and innovation? Is AI just another digital technology that, akin to many others, will not significantly question what we know about design? Or will it create transformations in design that current theoretical frameworks cannot capture? This paper proposes a framework for understanding the design and innovation in the age of AI. We discuss the implications for design and innovation theory. Specifically, we observe that, as creative problem-solving is significantly conducted by algorithms, human design increasingly becomes an activity of sensemaking, that is, understanding which problems should or could be addressed. This shift in focus calls for the new theories and brings design closer to leadership, which is, inherently, an activity of sensemaking. Our insights are derived from and illustrated with two cases at the frontier of AI—Netflix and Airbnb (complemented with analyses of Microsoft and Tesla)—which point to two directions for the evolution of design and innovation in firms. First, AI enables an organization to overcome many past limitations of human-intensive design processes, by improving the scalability of the process, broadening its scope across traditional boundaries, and enhancing its ability to learn and adapt on the fly. Second, and maybe more surprising, while removing these limitations, AI also appears to deeply enact several popular design principles. AI thus reinforces the principles of Design Thinking, namely: being people-centered, abductive, and iterative. In fact, AI enables the creation of solutions that are more highly user centered than human-based approaches (i.e., to an extreme level of granularity, designed for every single person); that are potentially more creative; and that are continuously updated through learning iterations across the entire product life cycle. In sum, while AI does not undermine the basic principles of design, it profoundly changes the practice of design. Problem-solving tasks, traditionally carried out by designers, are now automated into learning loops that operate without limitations of volume and speed. The algorithms embedded in these loops think in a radically different way than a designer who handles the complex problems holistically with a systemic perspective. Algorithms instead handle complexity through very simple tasks, which are iterated continuously. This paper discusses the implications of these insights for design and innovation management scholars and practitioners.     

European Soil Data Centre: Response to European policy support and public data requirements

In the context of the European Union's Soil Thematic Strategy, policy makers require easy access to soil data and information of various types and scales to assess the state of soils at European level. To satisfy this need, the European Commission and the European Environment Agency (EEA) decided to establish the European Soil Data Centre (ESDAC), located at the European Commission's Joint Research Centre.The ESDAC is one of ten environmental data centres that have been established during the last 4 years in support of policy development, implementation and monitoring by the European Commission's Directorate General for Environment. The ESDAC, located at http://esdac.jrc.ec.europa.eu, has become the focal point for soil data and information at European Union level by hosting a series of soil products and web-based tools that allow access to the data. The ESDAC acts as the primary data contact point for the Commission and EEA to fulfill their information needs. The establishment and the evaluation of harmonised databases should facilitate improved soil protection measures.     

Ethnographic Case Study (ECS): Abductive modeling of ethnography and improving the relevance in business marketing research

By extending interpretative methods to business settings, this paper formalizes a model of Ethnographic Case Study (ECS) built upon extensive literature review and abductive elaboration of two-year fieldwork on 12 Italian companies. Objectives and related contributions are twofold. First, key compulsory and complementary stages of ECS marketing research are presented for business contexts. Second, the paper envisions the quality of the knowledge generated through the ECS inquiry, and argues that the methodological peculiarities of this approach may help reduce the relevance gap affecting business research. The systematic cooperation between researchers and practitioners along the ECS phases may benefit relevance through (i) the fine tuning of reciprocal expectations, (ii) the sharing of the research experience, (iii) the multiplication of the beneficiaries of the findings granted by ECS, and (iv) the participation in the process of knowledge dissemination. In this light, the ECS model supports the convincement that methods are not only a way to theory validation but also to theory discovery.     

The World Trade Network

This study uses the tools of network analysis to graphically and analytically represent the characteristics of world trade. The structure of the World Trade Network is compared over time, detecting and interpreting patterns of trade ties among countries. The results show that the trading system has become more intensely interconnected, and trade integration at the world level has been increasing, but it is still far from being complete, with the exception of a few areas. At the same time, we observed a strong and increasing heterogeneity in countries’ choice of trade partners, with countries holding very different positions within the network, so that it is very difficult to talk of a representative country in the international trade system. Network indices were also used in a gravity model regression, adding to the explanatory power of the model. Furthermore, the analysis shows that trade policies do play a role in shaping the trade network, and that WTO members are more closely connected than the rest of the world. The structural difference between the extensive and the intensive margin of trade is also highlighted. An important feature of these results is that they pertain to the trading system as a whole, giving a unified view of the system characteristics and complexity.     

The Optimal Level of Debt in an OLG Model with Endogenous Fertility

Abstract. In the present work we extend Diamond's OLG model by allowing for endogenous fertility and look at the consequences of such an extension on the rules for optimal public debt issuing. In particular, we show that the condition according to which the rate of growth of population should be higher than the interest rate is no longer sufficient for obtaining welfare improvements via debt increases and that the level of optimal debt is, ceteris paribus, lower than the one arising with exogenous fertility. Finally, a sensitivity analysis shows that the optimal level of debt is higher the lower the capital share, the higher individuals' degree of patience, the bigger the child‐rearing cost and the lower the preference for children. On policy grounds we argue that debt‐tightening policies may be optimal in the long run provided that the cost of rearing children does not increase (or, if anything, does decrease).     

Happiness and relational goods: well-being and interpersonal relations in the economic sphere

The present paper provides an introduction to this special issue devoted to Happiness and Relational Goods. We start by presenting a few concepts that have recently appeared in the economic literature with the aim of capturing some of the peculiarities of personalised interactions. We claim that these concepts can be subsumed fairly well under the concept of ‘relational goods’. We then review the recent empirical literature on happiness and relational goods. Finally, we briefly introduce the papers contained in this special issue by outlining their respective contributions.     

Self-scanning technologies in retail: Determinants of adoption

Self-scanning represents a form of customer participation in service creation, a form of self-service and a technology-based service delivery device. This study, conducted within the large-scale retail sector, pursues a dual aim: firstly, to assess the link between satisfaction with self-scanning and some of its possible antecedents; secondly we intend to determine whether satisfaction with this service has any impact on consumers' overall opinion of the supermarket and their intention to patronise the store with greater frequency. The data show that both the sense of control and hedonic component have a positive impact on satisfaction with self-scanning and further bring to light that service satisfaction is an antecedent both of customers' opinion of the supermarket and their intention to patronise the store more frequently.     

The Financial Resource Curse*

In this paper, we present a model of the financial resource curse (i.e., episodes of abundant access to foreign capital coupled with weak productivity growth). We study a two‐sector (i.e., tradable and non‐tradable) small open economy. The tradable sector is the engine of growth, and productivity growth is increasing with the amount of labor employed by firms in the tradable sector. A period of large capital inflows, triggered by a fall in the interest rate, is associated with a consumption boom. While the increase in tradable consumption is financed through foreign borrowing, the increase in non‐tradable consumption requires a shift of productive resources toward the non‐tradable sector at the expenses of the tradable sector. The result is stagnant productivity growth. We show that capital controls can be welfare‐enhancing and can be used as a second‐best policy tool to mitigate the misallocation of resources during an episode of financial resource curse.     

An econometric analysis of emission allowance prices

Knowledge of the statistical distribution of the prices of emission allowances, and their forecastability, are crucial in constructing, among other things, purchasing and risk management strategies in the emissions-constrained markets. This paper analyzes the two emission permits markets, CO₂ in Europe, and SO₂ in the US, and investigates a model for dealing with the unique stylized facts of this type of data. Its effectiveness in terms of model fit and out-of-sample value-at-risk-forecasting, as compared to models commonly used in risk-forecasting contexts, is demonstrated.