Extending lead-user theory to online brand communities: The case of the community Ducati

While research on user innovations within communities exists mainly in offline contexts, few studies have attempted to define the profile of lead users in online (or virtual) communities, and even fewer have been conducted in the specific context of online brand communities, formed by people with a “common interest in a brand,” in its evolution and in the discourse about it. This study focuses on innovative activities within the Ducati Motor online community. The research reveals the following characteristics as crucial factors for the identification of lead users in online brand communities: willingness to collaborate, product knowledge and strategic alignment with the brand identity. Our sample consists of 2071 messages posted by 572 Ducati Motor virtual community members in a specific blog developed by Ducati Motor with the purpose of involving members in a collaborative innovation process that took nearly 14 months. Several implications for scholars and new product development managers are discussed.     

Conditionally dependent strategies for multiple-step-ahead prediction in local learning

Computational intelligence approaches to multiple-step-ahead forecasting rely on either iterated one-step-ahead predictors or direct predictors. In both cases the predictions are obtained by means of multi-input single-output modeling techniques. This paper discusses the limitations of single-output approaches when the predictor is expected to return a long series of future values, and presents a multi-output approach to long term prediction. The motivation for this work is that, when predicting multiple steps ahead, the forecasted sequence should preserve the stochastic properties of the training series. However, this may not be the case, for instance in direct approaches where predictions for different horizons are produced independently. We discuss here a multi-output extension of conventional local modeling approaches, and present and compare three distinct criteria for performing conditionally dependent model selection. In order to assess the effectiveness of the different selection strategies, we carry out an extensive experimental session based on the 111 series in the NN5 competition.     

Designing targeting rules for international monetary policy cooperation

This study analyzes a two-country dynamic general equilibrium model with nominal rigidities, monopolistic competition and producer currency pricing. A quadratic approximation to the utility of the consumers is derived and assumed as the policy objective function of the policymakers.It is shown that only under special conditions there are no gains from cooperation and moreover that the paths of the exchange rate and prices in the constrained-efficient solution depend on the kind of disturbance that affects the economy. Despite this result, simple targeting rules that involve only targets for the growth of output and for both domestic GDP and CPI inflation rates can replicate the cooperative allocation.     

Patient and Public Participation in the English NHS: An assessment of experimental implementation processes

This article analyses the impact of the implementation of a set of policies introduced after 1997 in the English National Health Service aimed at increasing patient and public involvement in organizational decision-making processes. Adopting the ambiguity/conflict policy implementation model and based on a year-long research project, it shows that patient and public engagement can be more effectively achieved when there is room for interpretation and discretion in selecting the means for involvement. Local initiatives, based on effective leadership governance mechanisms and organizational learning processes, are more likely to generate inclusiveness, shared ownership, and user-centredness than a top-down framework for involvement.     

Organizing professionals and their impact on performance: the case of public health doctors in the Italian SSN

ABSTRACT

Hybrid professional managers have been associated with improvements in the performance of public sector organizations. However, less attention has been given to differences within this category. Drawing on board human capital theory, we focus on an emerging group of ‘organizing professionals’ with earlier and deeper exposure to management training and education: generalist clinical hybrids drawn from public health in the Italian healthcare system. Specifically, we investigate the impact that these hybrid hospital CEOs have on organizational performance in comparison with other backgrounds. The results indicate that this form of generalist hybrid professionalism has distinct, if not dramatic, consequences for performance.     

Portfolio allocation and international risk sharing

Abstract We show that recent explanations of the consumption‐real exchange rate anomaly that rely on goods and financial market frictions are not robust to introducing just one additional international asset. When portfolios are selected optimally, international trade in two nominal bonds implies a consumption‐real exchange rate correlation that is too high compared with the data even when there are many shocks. Monetary policy specification plays a potentially important role for the degree of risk sharing provided by nominal bonds, both in the benchmark model with only tradable and non‐tradable sector supply shocks and also in the model that allows for news.     

On the pro-trade effects of immigrants

This paper investigates the causal effect of immigration on trade flows using Italian panel data at the province level. We exploit the exceptional characteristics of the Italian data (the fine geographical disaggregation, the very high number of countries of origin of immigrants, the high heterogeneity of social and economic characteristics of Italian provinces, and the absence of cultural or historical ties with the countries where immigrants come from) coupled with the use of a wide set of fixed effects and an ‘instrument’ based on immigrants’ enclaves. We find that immigrants have a significant positive effect on both exports and imports, but much larger for the latter. The pro-trade effects of immigrants tend to decline in space, and even turn negative when large ethnic communities are located too far away from a specific province (via a trade-diversion effect). Moreover, while our data show inter-ethnic spillovers for exports, we find no evidence that networks between different ethnicities affect provinces’ imports. Finally, we provide evidence of a substantial heterogeneity in the effects of immigrants: the impact on trade tends to be larger for immigrants coming from low-income countries, for earlier waves of immigrants, and for least advanced provinces (Southern Italy).     

Changes over time in the spatial structure of fertility rates as a dynamic indicator of urban transformations

Quality & Quantity - Since fertility varies largely over space responding to socioeconomic transformations, a spatially explicit analysis of birth rates may contribute to a refined...     

Debt developments and fiscal adjustment in the EU

Since the financial crisis in 2008–09, concern over the sustainability of some EU countries’ sovereign debt has continued to mount higher and higher. This paper explores the ways in which the financial crisis caused the deterioration of European debt-to-GDP ratios, examines which countries are on sustainable debt paths and quantifies the fiscal adjustment required per country for debt sustainability.     

International migration and trade agreements: The new role of PTAs

This paper provides an empirical analysis of the relationship between preferential trade agreements (PTAs) and bilateral migration flows. Building on the empirical literature on the determinants of migration flows, I estimate a modified gravity model to assess the role of PTAs and their content on bilateral migration flows. Using a sample of 29 OECD destination countries over the period 1998–2008, I show a strong positive effect of PTAs on bilateral migration flows. I find that the content of PTAs also matters: when visa‐and‐asylum and labour market related provisions are included in PTAs, this further stimulates bilateral migration flows. Different estimation strategies, including instrumental variables, are employed to address the potential endogeneity bias problems related to PTAs and their content.