Analysing clusters of skills in R&D — core competencies, metaphors, visualization, and the role of IT

Though it is now universally accepted that companies should try to align their R&D activities with their business objectives, achieving this alignment is notoriously difficult in practice. The rise of the core competence framework has been very helpful in creating, and legitimizing, a language in which issues of technical competence and R&D strengths can be followed through to their consequences for competitive advantage. Companies are starting to express their R&D priorities explicitly in terms of core competencies.
Without effective IT support, core competence concepts are often applied arbitrarily. This has led to accusations that core competence theory can become yet another battlefield upon which companies play out their internal political battles. Computer-based techniques can help counteract this danger by enabling large volumes of relatively objective data to be collected, then making it possible to analyse and draw out patterns from this data, and finally enabling the data to be represented effectively.
It is in this last area of data representation that information technology is now of particular benefit. In order to make the core competence approach sufficiently robust as a basis for decision making, it is necessary to collect and process large volumes of data. However, this data is normally difficult to represent in such a way that managers can assimilate it. In our recent experience, we have come to realize the particular importance of effective representations and metaphors, and have started to shift our own emphasis towards these areas in addition to analysis per se .
The paper shows how core competence approaches can support R&D management decision making by exploring the roles of data collection, analysis and representation. Information technology is an integral part of these approaches, and we draw out some generalized lessons for the successful use of IT in decision support.     

Manumission in nineteenth-century Virginia

Using previously unexploited data, this paper explores the ages at which slaves were manumitted. OLS estimates reveal that mixed-race slaves, slaves in the tobacco-producing Piedmont, and female slaves of female slave owners were manumitted at younger ages. Weibull proportional hazards estimates imply that the same groups were more likely to be manumitted. The results also reveal a markedly diminishing likelihood of manumission after Nat Turner’s 1831 insurrection in south-central Virginia. The results are consistent with a principal–agent model in which slave owners contracted with slaves over consumption and future manumission to elicit effort and control shirking or other unproductive activities.     

The algebra of health concerns: implications of consumer perception of health loss,illness and the breakdown of the health system on anxiety

The current and expected future state of the American health care system creates much concern and anxiety at the national and individual level among Americans. This study is in response to the call of the Institute of Medicine to further study the lack of confidence among Americans about their future ability to receive high‐quality health care. This study compares perceived anxiety and its amelioration as a result of three possible health situations: illness with infectious disease, losing one's health and a breakdown of the health care system. This empirical study was conducted within the framework of conjoint analysis. We conducted an experimental design of ideas, identified attributes that increased or reduced anxiety in each of the three health‐related situations and then segmented consumers on the basis of their patterns of reactions to the attributes. We found that the highest anxiety was attributed to the breakdown of the health care system. The segmentation further suggested that the anxiety emerging from the breakdown of society's health care system generated a different extent of anxiety than that which emerged from one's illness or one's loss of own health. The attributes that drove anxiety across the health situations were, surprisingly, charities, one's company, the local hospital and supplemental insurance. Attributes that reduced anxiety differed among segments. The attributes were found to be: close friends, family, distribution of information by authorities and the belief in God. At a practical level, these data and patterns of response allow health care policy makers to enhance the coping ability of patients by understanding the nature of what reduces the anxiety of individual types of patients. The approach in this study provides a person‐centred system for communication and anxiety reduction that can be implemented as part of a public health policy.     

Estimating the Off-farm Labor Supply in Canada

Off-farm labor supply in Canada is modeled using separate off-farm labor participation and off-farm labor supply equations, which allows variables to affect participation and labor supply differently. The data used in this study are from Statistics Canada's Agriculture-Population Linkage Database, which links the Population Census for 1986 to a 20% sample from the Census of Agriculture. Results indicate that age, education and wages have large, significant and opposite effects on participation and supply, and that government efforts to stabilize and supplement farm incomes through rural employment programs may have less effect on labor allocation decisions than do the underlying demographic factors and regional and farm characteristics.
Nous modélisons id les disponibilités d'emploi extérieur (hors-ferme) pour les agriculteurs, utilisant des équations distinctes pour la participation aux emplois extérieurs et pour l'offre des emplois extérieurs, ce qui permet de laisser les variables influer différemment sur les deux éléments. Les donées utilisées proviennent de la base de données de Statistique Canada sur le couplage agriculture-population, laquelle relie le recensement de la population de 1986 à un échantillon de 20 % prélevé sur le recensement de l'agriculture. Les résultats font voir que l'âge, le niveau de scolarisation et les salaires ont de grands effets, significatifs mais opposés, sur l'utilisation et sur les disponibilites d'emplois extérieurs et que les initiatives de'État pour stabiliser et compléter le revenu agricole au moyen de programmes d'emploi rural auraient mains d'effets sur les décisions d'attribution des emplois que les facteurs sous-jacents relevant de la démographie et des caractéristiques particulières de chaque région et exploitation.     

Bayesian and Frequentist Inference for Ecological Inference: The R×C Case

In this paper we propose Bayesian and frequentist approaches to ecological inference, based on R × C contingency tables, including a covariate. The proposed Bayesian model extends the binomial-beta hierarchical model developed by K ing , R osen and T anner (1999) from the 2×2 case to the R × C case. As in the 2×2 case, the inferential procedure employs Markov chain Monte Carlo (MCMC) methods. As such, the resulting MCMC analysis is rich but computationally intensive. The frequentist approach, based on first moments rather than on the entire likelihood, provides quick inference via nonlinear least-squares, while retaining good frequentist properties. The two approaches are illustrated with simulated data, as well as with real data on voting patterns in Weimar Germany. In the final section of the paper we provide an overview of a range of alternative inferential approaches which trade-off computational intensity for statistical efficiency.     

Die Bedeutung der Produktionsperiode für die Krisentheorie

Ohne ZusammenfassungVortrag, gehalten in der nationalökonomischen Gesellschaft in Wien am 1. Februar 1935.Aus dem Englischen übersetzt von Gertrud Lovasy     

Asset Revaluations in the Accounts of UK National Health Service Trusts

This paper reports the results of an investigation into the impact of the revaluation of fixed assets on the reported results of NHS ambulance services. It recalculates the accounting rate of return of individual trusts after removing revaluation adjustments and examines the published responses of trusts. The numerical analysis demonstrates that, in general, revaluation has depressed the stated rate of return in an inconsistent manner. Failure to meet the required rate of return may cause a trust to be subjected to additional monitoring and management reorganisation while the trusts respond by explaining deviations in the accounting return measure by referring to revaluations and other technical adjustments. Management decisions made in response to these accounting measures may be sub-optimal in delivering health care but appropriate in achieving the desired accounting outcome.