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This paper addresses the question of how projects are organized and how these management structures impact project success. Despite its widely accepted managerial importance, empirical studies could not provide significant evidence of a relationship between implemented management structures and project success. A major problem in finding meaningful empirical evidence is the conceptualization of the structure measure, which is derived from a typologist's perspective. In this study, we follow the taxonomists' perspective and empirically develop an alternative taxonomy of project management structures. We empirically compare both approaches, by using two different samples, collected in the United States and Germany, including together over 600 projects. Our empirical findings show that the validity of the widely accepted project organization typology is in question. The use of cluster analyses reveals an alternative taxonomy that encompasses five structural types, differentiated by the entities managing them: project coordinator, supervised project coordinator, autonomous project manager, supervised project manager, and autonomous functional project manager. The results strongly support the widely accepted proposition of a relationship between project organization and project success. The emerging taxonomy of project organization configurations enriches the theoretical and conceptual discussions of organizing projects and unravels the multiple aspects involved in organizing the execution of projects. [ABSTRACT FROM AUTHOR]

Improving the efficacy of emergency responses with digital means is receiving increasing attention. Currently, several innovative information technologies and systems are being developed to raise the situation awareness of first responders like firefighters. Among them, emergency response information systems (ERIS) appear to provide a particularly promising platform, which helps to gather, analyze, and share relevant information during emergencies. However, the conditions under which firefighters accept or reject such systems remain unclear. Existing theories explain the acceptance of information technologies only on a general level that does not consider the specific usage constraints existing in the firefighter domain. To fill this literature gap, we propose a detailed, domain-specific acceptance model with factors that explain the acceptance of ERIS by firefighters. It combines findings of the user satisfaction and the technology acceptance literature and was developed based on the input of 82 domain experts. An evaluation of the acceptance model in a survey with 212 firefighters from Germany indicates that it is effective in predicting a firefighter's intention to use an ERIS. The identified acceptance factors provide guidance for the design and evaluation of ERIS, enabling the so far mostly theoretical benefits of ERIS to be transferred into practical applications more effectively. [ABSTRACT FROM AUTHOR]

Finding new industry partners poses a challenge to many public research organizations. This article explores how statistical classification can support partner selection at the example of the Fraunhofer Society in Germany, Europe's largest public organization for applied research. We use internal cooperation data and feature sets based on unstructured data, i.e., text and industry codes, both of which describe business activities of firms. An important advantage of this data is that it is available for most companies in Germany, even small and medium enterprises, which allows for an almost complete screening of the market, in contrast to using other data sources, e.g., patents. In addition, we also include economic variables linked to firms, as turnover, number of employees/managers and firm age. We report the performance of various classification techniques such as logistic regression, support vector machines, and random forests in our dataset for diverse combinations of feature sets. Results show that simple methods with fewer parameters remain competitive in comparison to complex ones. Overall, the performance of most classifiers is high enough to support the decision process of finding new industry partners for public research. [ABSTRACT FROM AUTHOR]

Presents results from an empirical study that analyzes the distribution of the patenting output of inventors working in the chemical, electrical and mechanical engineering industry in 43 German companies. Findings which suggest that a small group of key inventors is responsible for the major part of the company's technological performance and competitiveness; Implications for human resource management in industrial research and development departments.

Researchers have debated the relative importance of technology push and demand pull policies in the adoption of environmental technologies. Here, we examine how internationally distributed technology push and demand pull policies interact to support the diffusion of a renewable energy technology. We analyze 40 years (1974–2013) of solar photovoltaic policies in three countries: USA, Germany, and China. We identify four phases of international policy interactions: in Phase 1 (1974–1990), the USA launched technology push policies; in Phase 2 (1991–2003), Germany pioneered demand pull policies; in Phase 3 (2004–2008), China responded to international market incentive programs with a scaling up of manufacturing; and in Phase 4 (2008–2013), Germany reduced whereas China increased demand policies. Our contributions are threefold: First, we demonstrate the importance of “manufacturing push” alongside the standard technology push and demand pull factors; second, we show how global adoption was spurred by the complementarity of policy efforts across national boundaries, while considering the tradeoffs in climate change policy between increasing global environmental welfare and improving national economic development; third, we demonstrate three generic patterns of cross-national policy complementarity. [ABSTRACT FROM AUTHOR]

Opportunities often emerge in the form of technological inventions that offer ways to create or deliver new value to prospective customers across a broad range of industries. This study investigates how the radicalness of technological inventions is tied to performance (sales growth) in young technology-based ventures. Using a combination of survey and patent data from 85 spin-offs from public research institutions in Germany, we identify the degree of technological competition and product diversification as important moderators in the relationship between technological radicalness and venture performance. Radicalness is found to have a positive impact on sales growth when competition in the particular technology field is high and when the venture's product portfolio is not diversified. Overall, these findings contribute to a better understanding of when and how ventures can successfully exploit radical technological inventions. [ABSTRACT FROM PUBLISHER]

Today's automakers are under an enormous price and cost pressure arising from both increasing competition and complexity of operations. One way to deal with this challenge is to outsource value creation to the supply network (SN), which then assumes the responsibility for producing variant-specific modules and delivering them just-in-sequence (JIS). This results in tightly coupled buyer–supplier relationships that operate with short reaction times and are characterized by high time dependency and minimal buffers. It increases the risk exposure of buyers to disturbances in their SNs and failures propagate quickly, causing production disruptions. Based on data collected at 14 car-manufacturing plants located in Germany, this research provides an overview and exploratory evidence of current JIS market practice and proposes ways of actively managing the risks inherent in JIS SNs. [ABSTRACT FROM PUBLISHER]

Shows the applicability of discriminant function between United States (US) and British and German R&D (research and development) projects. Description of R&D project termination; Purpose of study; Collection of data from these countries; Analysis of recurring set of variables in R&D project evaluation; Implications of the study for engineering management; Author's views on study; Discussion on discriminant analysis in appendix.