The Non-Trivial Choice between Innovation Indicators

We discuss the strengths and weaknesses of five alternative innovation indicators: R&D, patent applications, total innovation expenditure and shares in sales taken by imitative and by innovative products as they were measured in the 1992 Community Innovation Survey (CIS) in the Netherlands. We conclude that the two most commonly used indicators (R&D and patent applications) have more (and more severe) weaknesses than is often assumed. Moreover, our factor analysis suggests that there is little correlation between the various indicators. This underlines the empirical relevance of various sources of bias of innovation indicators as discussed in this paper.     

Life Cycle Characteristics of Small Professional Service Firms*

Our study of professional services firms clearly revealed that firms change over the course of their life cycles. During the first three stages, diversification in sales, the differentiation in labor force, and the level of labor productivity increase. In the last stage, diversification in sales, the differentiation in labor force, and the level of labor productivity decrease. Development effects can be treated as interdependent. Our findings show that the effects of growth can be predicted to a certain extent. In efforts towards development, these predictions are important to business strategy, as well as to consultation with and education of SME entrepreneurs.     

Regression with errors in variables: estimators based on third order moments

In this paper consistent and, in a well–defined sense, optimal moment–estimators of the regression coefficient in a simple regression model with errors in variables are derived. The asymptotic variance and other asymptotic properties of these estimators are given. As is known for a long time, serious estimation problems exist in this model. There are two ways out of this problem: using either additional assumptions or additional information in the data. A lot of attention has been paid to the use of additional assumptions. However, quite often this leads to rather unrealistic models. In this paper we use additional information in the data. That means here that, besides first and second order moments, third order moments are formulated as functions of the model parameters. Besides theoretical derivations a small study with generated data is discussed. This study shows that for samples larger than 50 the estimates we consider behave nicely.     

Estimating structural equation models with non-normal variables by using transformations

We discuss structural equation models for non-normal variables. In this situation the maximum likelihood and the generalized least-squares estimates of the model parameters can give incorrect estimates of the standard errors and the associated goodness-of-fit chi-squared statistics. If the sample size is not large, for instance smaller than about 1000, asymptotic distribution-free estimation methods are also not applicable. This paper assumes that the observed variables are transformed to normally distributed variables. The non-normally distributed variables are transformed with a Box–Cox function. Estimation of the model parameters and the transformation parameters is done by the maximum likelihood method. Furthermore, the test statistics (i.e. standard deviations) of these parameters are derived. This makes it possible to show the importance of the transformations. Finally, an empirical example is presented.     

The Innovation Threshold

Summary This paper discusses a model for analysing the sales of new products. This model accounts for the fact that, even among those companies with permanent R&D activities, a fraction of the firms did not have sales of innovative products over a two-year observation period. We propose a model in which the fixed costs of introduction are a major concern in the decision-making process. We apply a censored regression model, extended by a firm-specific threshold. We use a structural model to estimate the fixed costs of introducing new products to the market, and explain subsequent sales of innovative products. We examine an indicator of innovative output, i.e. the sales of products ‘new to the firm’. We estimate fixed cost thresholds by using data from the Dutch section of the Community Innovation Survey (CIS) of 1998. R&D intensity, competition, and market structure all have a positive impact on the sales of new products. The most important factors that reduce the fixed cost threshold of introduction are product-related R&D investments, R&D subsidies, and knowledge spillovers. We would like to thank Geert Ridder, Alfred Kleinknecht and two anonymous reviewers for their valuable comments and discussion.     

Lineaire regressie-analyse, ook bij gegevens in strijd met het model

Samenvatting Robuuste lineaire regressie-analyse volgens A ndrews (1973) wordt behandeld. Deze methode is bestand tegen enige fouten in zowel de verklarende variabele(n) als in de te verklaren variabele. Zij levert
i. een opsplitsing van de waarnemingen in begrijpelijke en onbegrijpelijke bij het gekozen model, en ii. parameterschattingen met nauwelijks verlies aan doeltreffendheid bij Gauss-residuen ** en met grote winst aan doeltreffendheid bij residuen met langere staart. zulks vergeleken met de bekende kleinste kwadraten procedure, die optimaal is bij Gauss-residuen.
Aan de hand van getallen-voorbeelden wordt een en ander toegelicht.     

Inleiding over de verdeling van extremen

Summary This paper is an introduction to the exact and asymptotic distribution of univariate statistical extremes and gives the methods of estimation of the parameters of the double exponential distribution.     

On the backward-forward procedure

It is shown that backward-forward procedure which selects solutions in dynamic models with rational expectations may fail to give a solution when the lags are of order two.     

‘Change or hold: reexamining HRM to meet new challenges and demands’: the future of people at work: a reflection on diverging human resource management policies and practices in Dutch organizations

As a consequence of continual change pressures on everyday organizations, a gradual but noticeable shift is taking place in the way managers and employees view the employment relationship. Expectation patterns between both parties are starting to diverge into what seems to be new forms of managing people, based on different assumptions regarding their importance in the (knowledge based) economy. Traditional differences in employment expectations between superiors and their subordinates, between higher and lesser educated and between intrinsically and extrinsically motivated employees, are currently making place for differences between younger and older knowledge workers and for diversity and professionalism. In this article, HRM is contrasted against two emerging approaches towards the management of people, which are currently subsets of HRM, but gaining momentum as potential replacements for HRM. First, we identify ‘Transaction-based Management of People (TM)’ in which the employment relationship mirrors that of a financially driven exchange relationship, similar to transaction economics. We refer to the second approach as ‘Professional-based Management of People (PM)’ in which the nature of the employment relationship reflects the recognition of people in organizations as ‘true’ professionals who know best what constitutes superior business performance. These approaches have been empirically examined by means of a representative survey among Dutch directors and managers.