Aspects of the integration of technical functions for efficient product development

It is probably safe to say that today it is universally accepted and often common knowledge that cooperation between product development and the market functions is crucial for the ability of companies to develop market oriented products. Likewise, there are some strong indications that well functioning cooperation between production and product development is crucial for the development of products that are efficient to manufacture. However, no satisfactory solutions have yet been found to the issues of integration and cooperation. Although there is a consensus of opinion among companies that the need for cooperation is very great, a number of issues still remain to be solved. It is, for example, not clear on which issues cooperation should take place, nor which functions should be involved, nor yet how this should be done. This paper tries to answer some of these questions.     

Institutions,Entrepreneurship, and Growth: Biomedicine and Polymers in Sweden and Ohio

This paper examines the role of institutions in explaining the differences in performance with respect to entrepreneurship and growth in two industry clusters in two countries: the biomedical/biotechnology and polymer-based industry clusters in Sweden and Ohio. Both clusters are about twice as large in Ohio as in Sweden, even though the industrial history and the composition of industrial output in general are quite similar in the two regions, and even though the Ohio economy is only about 25% larger than that of Sweden.Four types of institutional factors are examined: The science base and mechanisms of technology transfer; the density of networks and the role of business support services and companies in related industries; the entrepreneurial climate, especially the availability of finance; and the policy environment and other infrastructure.Major findings are that the science base plays a different role in the two clusters and that the regions differ in the absorption of new technology, partly due to the differences in the size and structure of firms, that bridging institutions have contributed significantly to connectivity of networks in Ohio, and that the greater availability of venture capital and entrepreneurial management skills makes the Ohio environment for entrepreneurship more supportive than that in Sweden.     

Flexible technology and industrial structure in the U.S.

This paper analyzes the development over the postwar period of output, employment, and the number of plants in manufacturing in the United States. It is shown that the distribution of flexible technology in the form of machine tools (NCMTs) shifted markedly toward small plants during the 1980s. It is found that the probability of adoption and the penetration rate of NCMTs are higher in large than in small plants, even though the number of NCMTs per worker is much higher in small plants. This apparent paradox is explained. It is also suggested that the shift of output towards smaller plants is correlated with the increased use of flexible technology, and that this reflects changes in the division of labor among plants of various sizes, as well as changes in the composition and organization of production in large plants.The authors would like to thank Bennett Harrison, an unknown referee, and the editors of this Journal for valuable comments. Any remaining errors are the responsibility of the authors.     

Small-scale industry at a crossroads: U.S. Machine tools in Global perspective

In 1975, the United States was the world's largest producer of machine tools, the second largest exporter, and had the lowest degree of dependence on imports of all major machine tool producing countries. By 1987, the U.S. had slipped into fourth place as producer of machine tools (behind Japan, West Germany, and the U.S.S.R.), into sixth place in exports (behind Switzerland, East Germany, and Italy), and relied on imports for more than half of its supply of machine tools. It is the object of this paper (1) to explain what happened globally in the machine tool industry since the mid-1970s, (2) to examine the arguments concerning the strategic role of the industry in industrial development, and (3) to analyze the implications for the future and to recommend courses of action.     

Willingness to pay for improved air quality in Sweden

The aim of the paper is to quantify individual willingness-to-pay measures of improved air quality in Sweden by using the Contingent Valuation Method (CVM). Such measures are important for policy makers when deciding about public investments and policy instruments in order to regulate environmental impacts, e.g. from road transportation and industry. The mean willingness to pay (WTP) for a 50% reduction of harmful substances where the respondents live and work was about 2000 SEK/year, which is of the same order of magnitude as earlier stated preference studies in Nordic countries. Most parameters in the econometric analysis had the expected sign. WTP was increasing in income, wealth and education; it was larger for men, members of environmental organizations, people living in big cities (which are on average more polluted), and people who own their house or apartment. It was lower for retired people. However, the additional WTP for people in big cities, although significantly higher than for other people, was lower than expected, indicating a possible insensitivity-to-scope effect.     

From small to large: A systematic comparison of gradually more complex econometric models

This paper treats the problem of validating macroeconometric models. A set of nine models are estimated on the same data base and subjected to the same simulation tests. They range from the simple IS model to a relatively realistic model of the Swedish economy in the postwar period. The main conclusion is that minor specification changes may drastically alter the dynamic characteristics of models, despite the fact that the models are theoretically plausible. A second purpose of the paper is to try to bridge the gap between the simple IS or IS-LM models used in the classroom and the much larger and more complex models that are actually used.     

Planning and control from the perspective of labour: A short presentation of the demos project

The objective of the DEMOS project (Democratic Planning and Control in Working Life) is the development of knowledge about planning, control and computer use. It is based upon the interests of workers and their trade unions and consists of two parts. The first is the study and analysis of corporate planning, control and computer use in cooperation with investigative groups in selected local unions, simultaneously testing trade union procedures in investigations. The second part relates to the development of alternative theories and research methods which differ from the current, dominating perspective. The project is expected to be of significance to continued interdisciplinary research on working life with a trade union connection. The results can be of use in trade union negotiations and judgements, both centrally and locally, and constitute a basis for educational materials both for unions and for state schools.     

Decision analytics mobilized with digital coaching

The context to be addressed is the digitalization of industry and industrial processes. Digitalization brings enhanced customer relationships and value‐chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings more pronounced requirements for effective planning, problem solving and decision making in an increasingly complex and fast‐changing environment. Decision analytics will meet the challenges from the growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by‐product. A mantra is appearing in business magazines – that powerful, intelligent systems will be effective tools for the digitalization of industrial processes – but much less attention appears to be paid to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. First, an effective transfer of knowledge from developers, experts and researchers to users (including management) will be needed; second, the daily use and operations of the systems need to be supported, as automated, intelligent industrial systems are complex to operate. We look at this transfer as knowledge mobilization and will work out how the mobilization can be supported with coaching; this coaching needs to be digital, as human coaches are both scarce and too expensive to employ in large numbers.