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.     

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.     

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...     

Roundtable

Abstract

This paper introduces a selection of papers on contemporary developments in public sector management which come from a research conference held in 2004. This paper starts by introducing the New Public Management (NPM) and governance paradigms as alternative high level approaches. Such approaches are well known in the UK and are also of international interest. It then considers whether there are further possible reform paradigms not captured by these rather State centric models. The paper then briefly introduces each of the papers selected from the Conference proceedings. These papers contribute to the literature on the NPM, on the NPM versus governance debate and also generate and apply novel theoretical perspectives.     

Past,present and future trends of purchasing and supply management: An extensive literature review

This research aims to evaluate the state of the art of Purchasing and Supply Management (PSM). This is carried out through a wide, in-depth, and structured examination of published works. More than one thousand papers (i.e., 1055) published in 20 peer-reviewed journals were collected and analyzed to provide a snapshot of PSM research, including the extent of the overall production, the background theory used, the unit of analysis, the research method, and the main topics investigated. Other literature reviews related to PSM have been conducted in the past but have focused primarily on specific topics and/or considering a narrower set of publications. Furthermore, the authors define a framework useful for analyzing the PSM literature and outline the state of the art of PSM research from a content-specific perspective, including an evaluation of the maturity of PSM research as a discipline.     

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.     

Testing for Parameter Stability in Dynamic Models across Frequencies*

This paper contributes to the econometric literature on structural breaks by proposing a test for parameter stability in vector autoregressive (VAR) models at a particular frequency ω, where ω ∈ [0, π]. When a dynamic model is affected by a structural break, the new tests allow for detecting which frequencies of the data are responsible for parameter instability. If the model is locally stable at the frequencies of interest, the whole sample size can then be exploited despite the presence of a break. The methodology is applied to analyse the productivity slowdown in the US, and the outcome is that local stability concerns only the higher frequencies of data on consumption, investment and output.