Infrastructures and Societal Change. A View from the Large Technical Systems Field

Infrastructural and societal changes intertwine in multiple ways. This makes the societal implications of infrastructural projects difficult to assess and anticipate. Yet in present day network societies this task is particularly urgent. This paper first identifies two positions that tend to monopolize and deadlock debates. Next it examines two decades of research in the Large Technical System (LTS) research field for alternative approaches to this issue, before finally suggesting distinguishing between the four increasingly indirect moments of (co-) construction of infrastructures and societies. These may be related causally, but also add their own moments of contingency, agency, and choice.     

Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input–Output Model

Recent approaches to sustainable development leave much room for policies at a local level. In fact, it is becoming evident that targets such as increasing resource productivity, preserving natural cycles, or extending the present level of welfare, are best pursued within the confines of a local area. In particular, environmental changes are best brought about by considering local systems of firms as cornerstones of cooperative strategies and using data on materials and energy use in physical terms. In this paper, an enterprise input–output model is developed for an industrial district, i.e. a local group of firms specialized in the production of a single final output. The model allows for a detailed quantitative analysis of materials and energy flows and the consequent generation of waste and pollution. As a planning tool, the model may be used to evaluate alternative scenarios, such as the possibility of re- using waste taking account of sustainability requirements. An empirical case study applies the model to an industrial district in Southern Italy producing leather sofas.     

Technology Transfer and Learning

Despite the fact that international technology transfer has been widely studied its management still encounters many difficulties. To fully understand the issues that are relevant to the process of transferring production technology, it is necessary to determine the important factors that influence this process. Learning curves are often used as a means of determining the time required to become familiar with a transferred technology. The cases discussed in this paper have all employed learning curves, which were established at the outset of the transfer process and which turned out to be incorrect. As a consequence the envisaged efficiencies were not obtained. This phenomenon is partly due to the fact that when technology is transferred to a relatively inexperienced 'destination company', the curve is established based on the circumstances of the 'source company'. The case study findings lead to the conclusion that to establish a realistic curve a more comprehensive method is required than simply basing anticipated performance on that achieved at the source company.     

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.     

Freedom of Choice in Technology Strategy? An Analysis of Technology Strategy in the Large Commercial Aircraft Industry

Many companies experience difficult situations as a result of their selected strategy. Strategic management theories implicitly assume that companies have a free choice in setting their strategy. Hence, when companies experience difficult situations this is because of management inadequacy. It is questionable whether companies always have a free choice. This research examines this issue by examining the new product strategies of the two main competitors in the commercial aircraft industry. The development of the A380 aircraft was selected to determine to what extent the companies had a choice in setting their product development strategies. The conclusion is that neither has the alleged freedom for setting its strategy. Implications of this finding are that the strategy theory needs to be adjusted for this choice issue, and that management should not always be held fully responsible for the developing events.     

Editorial

This paper presents an overview of issues for future research. as identified by the papers appearing in the Special Issue on Innovation in Telecommunications. To this end. we elaborate upon the emergence of a new innovation regime in telecommunications, discuss the performance and sustainability of this new innovation regime, and reflect upon institutional choices for the regime and accompanying policy options. Further research on innovation in telecommunications is advocated, taking up a broad range of issues, including long-term industrial evolution and sustainability concerns in a wide sense.