Aufgaben des Controllings im Rahmen des Risikomanagementprozesses

Ohne Zusammenfassung Dr. Pascal Nevries ist Gesch?ftsführer des Center for Controlling & Management (CCM). Daneben ist er Habilitand am Lehrstuhl von Prof. Dr. Dr. h.c. Weber sowie Mitglied des Instituts für Management & Controlling (IMC). Dipl.-Kfm. Erik Strau? ist wissenschaftlicher Mitarbeiter am Center for Controlling & Management (CCM). Daneben ist er Doktorand am Lehrstuhl von Prof. Dr. Dr. h.c. Weber sowie Mitglied des Instituts für Management & Controlling (IMC).     

Theorizing the Politicizing City

This introductory symposium article develops a framework for an urban political reading and a theorization of urban uprisings. We argue that there is a need to foreground the notion of the urban political as central to the theoretical and practical demands of urban research today. First, we revisit critical urban theory in light of recent urban insurrections and point out a lack of sustained theoretical engagement with the political. Second, based on this critique, we argue for what we call a ‘re‐centring of the urban political' to rethink urban theory in ways that consider the city as a site of political encounter, interruption and experimentation, even when, or perhaps especially when, these ways fall outside institutional forms or lack the organizational form or legitimacy of social movements. Thus, we attempt to place politics at the heart of radical urban political theory and practice today in order to make sense of urban subjects, events and claims that elude established government practices and institutionalized structures.     

A market model of analysts’ opinions to explain changes in the dispersion of opinions

The demand for and supply of analysts’ opinions in this model yield an equilibrium that demonstrates how the information content of the opinions reacts to changes in exogenous parameters. The model also shows how changes in the parameters make analysts’ opinions more or less dispersed; for example, a decline in investor risk aversion, a decrease in market volatility, and an increase in information costs can lead to analysts’ opinions becoming more similar. Recognizing how exogenous factors can affect the supply and demand of analysts’ opinions gives additional insights into questions concerning what may appear to be herd behavior by analysts and also the relationship between forecast dispersion and information content. (JEL: G29, C71)     

Economic Integration: Systemic Measures in an Input–Output Framework

Countries are linked through trade and for their mutual benefits they often group together. Consequently, trade blocs are formed in some form or another, examples of which are the EU, EFTA, ASEAN, NAFTA, and SAARC. Depending upon the form and the nature of the grouping, trade relations among countries obviously vary across the trade blocs. The pattern and the volume of trade of the participating countries are different and thus cause different impacts on the growth and development of the countries concerned. Also, the nature of integration changes over time. To examine the strength of integration within trade blocs, systemic measures of integration hitherto not available are formulated in an input–output framework. The measures are used, as a case study, to assess the inter-temporal variations in the degree of integration of SAARC.     

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.     

Information Technology As A Factor Of Production: The Role Of Differences Among Firms

Despite evidence that information technology (IT) has recently become a productive investment for a large cross-section of firms, a number of questions remain. Some of these issues can be addressed by extending the basic production function approach that was applied in earlier work. Specifically, in this short paper we: 1) control for individual firm differences in productivity by employing a ‘firm effects’ specification, 2) consider the more flexible translog specification instead of only the Cobb-Douglas specification, and 3) allow all parameters to vary between various subsectors of the economy.

We find that while ‘firm effects’ may account for as much as half of the productivity benefits imputed to IT in earlier studies, the elasticity of IT remains positive and statistically significant. We also find that the estimates of IT elasticity and marginal product are little-changed when the less restrictive translog production function is employed. Finally, we find only limited evidence of differences in IT's marginal product between manufacturing and services and between the ‘measurable’ and ‘unmeasurable’ sectors of the economy. Surprisingly, we find that the marginal product of IT is at least as high in firms that did not grow during 1988–1992 sample period as it is in firms that grew.