Using templates and linguistic patterns to define process performance indicators

Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision-making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally – usually in ad hoc, natural language, with its well-known problems – or they are defined from an implementation perspective, hardly understandable to non-technical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.     

Regime shifts in stock–flow I(2)–I(1) systems: the case of US fiscal sustainability

In the last two decades, fiscal sustainability has been tested through the use of non‐stationary time series analysis. Two different approximations can be found in the literature: first, a univariate approach that has focused on the stochastic properties of the stock of debt and, second, a multivariate one that has focused on the long‐run properties of the flows of expenditures and revenues, i.e., in the stochastic properties of the deficit. In this paper we unify these approaches considering the stock–flow system that fiscal variables configure. Our approach involves working in an I(2) stochastic processes framework. Given the possibility of the existence of regime shifts in the sustainability of US deficit that the literature has pointed out, we develop a new statistic that can be applied to test several types of I(2) cointegration and multicointegration relationships allowing for regime shifts. To test for these kinds of changing long‐run relationships we propose the use of a residual‐based Dickey–Fuller class of statistic that accounts for one structural break. We show that consistent estimates of the break fraction can be obtained through the minimization of the sum of squared residuals when there is I(2) cointegration. The finite sample performance of the proposed statistic is investigated by Monte Carlo simulations. The econometric methodology is applied to assess whether the US fiscal deficit and debt are sustainable. Copyright © 2010 John Wiley & Sons, Ltd.     

Networks of Value‐added Trade

Global value chains (GVCs) require new methods for evaluating interconnections among countries, which can no longer be accurately appraised by standard bilateral gross trade flows. This paper uses tools of network analysis to examine the evolution of value‐added trade from 1995 to 2011. GVCs are very centralised and asymmetric networks, with a few large economies acting as hubs, which exposes them to the propagation of idiosyncratic shocks. As GVCs expanded, the networks of foreign value added in exports became denser, more complex and intensively connected. The regional dimension of GVCs is still dominant but is progressively giving place to a more global network. Networks of foreign value added in goods exports outpace those of services exports. However, foreign inputs of services are important for exports of both goods and services. There is a striking rise of China as a supplier of value added, while Germany and the United States maintain a central role in GVCs over the whole period.     

The relationship between high performance work systems and employee proactive behaviour: role breadth self‐efficacy and flexible role orientation as mediating mechanisms

Drawing on the contextual perspective, this study provides novel empirical evidence on how the organisational context (specifically, the firm's human resource strategy) has an effect on employee proactivity. We use matched data from managers and employees in 102 Spanish professional service firms to examine how high performance work systems contribute to enhance employee proactive behaviours through two motivational variables: role breadth self‐efficacy and flexible role orientation. Results of a multilevel study demonstrate that role breadth self‐efficacy mediates between HPWS and employee proactivity, but flexible role orientation does not mediate this relationship.     

In and out of everyday life through film experiences: an analysis of two social spaces as leisure frames

The new information and communication technologies have made it possible to view films in different spaces. Using the symbolic interactionist framework as a frame of analysis, we interpret the meaning of the two experiences of viewing technology-mediated films in the home and in the cinema. We conducted field research during the first half of 2009, digitally recording 16 interviews with research participants living in Barcelona (Spain). The interviews were transcribed verbatim with the help of voice-recognition software. Reports from our research participants indicate that individuals considered only the cinema experience to be a true leisure activity, while the home experience was interpreted as a routine recreational activity. Therefore, the meanings of the film-viewing activity were associated with the symbolic properties of the frames of interpretation. Finally, we discuss the implications of these findings for the home as a unified centre where shared meanings are co-produced by family members.     

The effects of perceived value on loyalty: the moderating effect of market orientation adoption

This paper aims to identify the moderating effect of service firms’ adoption of market orientation on key variables of consumer behavior, namely perceived value and loyalty. The study took a business-to-customer perspective. First, the adoption of market orientation was measured, from the firm’s point of view. Second, customer perceptions were analyzed, using the two variables perceived value and loyalty. The sample comprised 100 service firms and 572 of their customers. The present work provides original insights, identifying that the effect of perceived value on loyalty depends on other variables external to the consumer, such as the market orientation approach.