A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Learner-centred approaches follow the prevailing tendency in modern University reforms which are primarily concerned about “how people learn”. The methodologies can be learner-centred in the sense of placing the student as the main actor of the teaching–learning process by increasing his interactivity and participation, but also considering what is relevant for the student by measuring the learner satisfaction. In order to promote both aspects, this paper proposes a synchronous software-based active methodology that makes use of the simulations to show a virtual scenario to the students and challenge them to predict and discuss the evolution of the scenario. The proposed methodology improves the visual interface, promotes discussion both among students and with the teacher in a brainstorming stage and shows real-world examples. This software-based methodology has been implemented into an Electric Machinery course at the University of Seville (Spain), and the evaluation has been carried out considering both the affective and cognitive domains. Principal components analysis proves to be useful to highlight the dimensions with a higher influence on learner satisfaction and the affective and cognitive results confirm the successful implementation of the proposal.     

Exploring the differences in performance measurement between research and development: evidence from a multiple case study

Researchers and practitioners have recently paid great attention to research and development (R&D) performance measurement, although it is acknowledged to be a very challenging task because of R&D intrinsic uncertainty and complexity levels. In this paper, the problem of designing a performance measurement system (PMS) for R&D activities is addressed; specifically, we investigate if and how the design of the PMS is influenced by the type of activity it is applied to, namely Basic and Applied Research or new product development (NPD). We first develop a theoretical framework that comprises the main constitutive elements of a PMS for R&D. Then the framework is used for supporting a multiple case study analysis involving eight Italian technology-intensive firms. The research results show that the criteria for designing the constitutive elements of the PMS are radically different in Basic and Applied Research and NPD. The reasons behind the observed dissimilarities in the design criteria are widely discussed in the paper, as well as their implications for R&D managers.     

Unpacking ostensive and performative aspects of organisational routines in the context of monitoring systems: A critical realist approach

Drawing on the theory of organisational routines as generative systems, we deploy a critical realist approach based on Searle's philosophy of language to analyse the generative mechanisms that specify the pre-conditions for recognisable, repetitive patterns of interdependent activities. Using the example of the organisational routines implemented in Germany to monitor the allocation and disbursement of the European Social Fund, we contend that constitutive rules of the type “X counts as Y in context C” are at the very centre of organisational routines. Such rules consist of generative mechanisms that account for the emergence of the ostensive aspects of organisational routines out of artefacts and/or procedures in a social structure of power relations. We further claim that, far from being proxies for the ostensive aspects of routines, artefacts whether tangible or intangible are instantiations of such ostensive aspects on a par with any other performative aspects of routines. On this basis, a re-conceptualisation and a re-labelling of the ostensive and performative aspects of routines are proposed. The former are the result of the activation of systems of constitutive rules, i.e. actual routines in critical realist terminology, the latter are patterns of interdependent activities instantiating the ostensive aspects of routines, i.e. empirical routines in critical realist terminology. Implications for theory and practice are discussed by developing a model of organisational routines that interweaves extant research streams.     

Firm-level comparative advantage

We study the consequences of heterogeneity in factor intensity on firm performance. We present a standard Heckscher–Ohlin model augmented with factor intensity differences across firms within a country–industry pair. We show that for any two firms, each of whose capital intensity is, for instance, one percent above (below) its respective country–industry average, the relative marginal cost of the firm in the capital-intensive industry of the capital-abundant country is lower (higher) than that of the other firm. Our empirical analysis, conducted using data for a large panel of European firms, supports this prediction. These results provide a novel approach to the verification of the Heckscher–Ohlin theory and new evidence on its validity.     

Book reviews

Ohne Zusammenfassung     

Exploring the contribution of innovation intermediaries to the new product development (NPD) process: a typology and an empirical study

In the ‘knowledge economy’ upheld by the European Lisbon strategy, knowledge‐intensive services are considered a key driver for innovation and competitiveness. A category of knowledge‐intensive services that has become of utmost importance in the last few decades is new product development (NPD) services, which interconnect distant knowledge domains with the client firms. In addition to NPD service providers, web‐based innovation intermediaries have started to help innovative firms access dispersed bodies of knowledge. Despite the heterogeneity of their characteristics, however, a clear typology of the strategies used by traditional NPD service providers and web‐based intermediaries to interact with their knowledge sources and with their clients is missing. This typology would be very useful for those firms that are willing to collaborate with innovation intermediaries because it could highlight the typologies of NPD problems different intermediaries are apt to address and the managerial challenges that working with them entails. Developing such a classification framework is the main goal of this paper. The typology proposed in this paper suggests that innovation intermediaries should be distinguished based on the following: (1) the way they access their distributed knowledge sources and (2) the way they deliver value to their clients. By combining these two dimensions, four categories of innovation intermediaries are identified, which are named brokers, mediators, collectors and connectors. A multiple case study analysis involving four innovation intermediaries and 12 of their clients is presented in the paper. The analysis provides exploratory insights into (1) the typologies of NPD problems that each class of intermediaries addresses and (2) the managerial challenges that working with each of them entails. These preliminary findings call for further theoretical and empirical research into the complex interaction among innovation intermediaries, their dispersed sources of knowledge and their clients.     

Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data

Recent literature on panel data emphasizes the importance of accounting for time-varying unobservable individual effects, which may stem from either omitted individual characteristics or macro-level shocks that affect each individual unit differently. In this paper, we propose a simple specification test of the null hypothesis that the individual effects are time-invariant against the alternative that they are time-varying. Our test is an application of Hausman (1978) testing procedure and can be used for any generalized linear model for panel data that admits a sufficient statistic for the individual effect. This is a wide class of models which includes the Gaussian linear model and a variety of nonlinear models typically employed for discrete or categorical outcomes. The basic idea of the test is to compare two alternative estimators of the model parameters based on two different formulations of the conditional maximum likelihood method. Our approach does not require assumptions on the distribution of unobserved heterogeneity, nor it requires the latter to be independent of the regressors in the model. We investigate the finite sample properties of the test through a set of Monte Carlo experiments. Our results show that the test performs well, with small size distortions and good power properties. We use a health economics example based on data from the Health and Retirement Study to illustrate the proposed test.     

Robust tests for time-invariant individual heterogeneity versus dynamic state dependence

We derive tests for persistent effects in a general linear dynamic panel data context. Two sources of persistent behavior are considered: time-invariant unobserved factors (captured by an individual random effect) and dynamic persistence or “state dependence” (captured by autoregressive behavior). We will use a maximum likelihood framework to derive a family of tests that help researchers learn whether persistence is due to individual heterogeneity, dynamic effect, or both. The proposed tests have power only in the direction they are designed to perform, that is, they are locally robust to the presence of alternative sources of persistence, and consequently, are able to identify which source of persistence is active. A Monte Carlo experiment is implemented to explore the finite sample performance of the proposed procedures. The tests are applied to a panel data series of real GDP growth for the period 1960–2005.     

Is there a slowdown in agricultural productivity growth in South America?

This article estimates agricultural productivity growth in 10 South American countries in 1969–2009 with the objective of investigating if the slowdown being measured in other countries is present in the region. Results show that productivity growth accounts for half of the three‐fold increase in agricultural output during this period and that performance is sensitive to R&D investments in the sector. The slowdown found for the 1990s to 2000s in the U.S. and some European economies does not seem to be present yet in South America. The region's total factor productivity (TFP) growth rate increased steadily from 1.07% during the 1970s to 2.29% during the 2000s. Given lags in adoption and the adaptive nature of innovations in these economies, we have yet to see the potential effects in South American agriculture of decreases in R&D in advanced economies.     

Does multimarket contact facilitate tacit collusion? Inference on conduct parameters in the airline industry

We provide empirical evidence that multimarket contact facilitates tacit collusion among airlines using a flexible model of oligopolistic behavior, where conduct parameters are modelled as functions of multimarket contact. We find (i) carriers with little multimarket contact do not cooperate in setting fares, whereas carriers serving many markets simultaneously sustain almost perfect coordination; (ii) cross‐price elasticities play a crucial role in determining the impact of multimarket contact on equilibrium fares; (iii) marginal changes in multimarket contact matter only at low or moderate levels of contact; (iv) assuming firms behave as Bertrand‐Nash competitors leads to biased estimates of marginal costs.