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In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.  相似文献   
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In this article we propose scenario planning as a tool for fostering organizational ambidexterity. The concept of organizational ambidexterity continues to gain attention, however, clear methods for developing this organizational ability are generally not offered. We therefore describe organizational ambidexterity and situate it in the general strategy literature. Key characteristics of organizational ambidexterity are provided, and the logical link to scenario planning is made. As the concept of organizational ambidexterity is relatively novel, our proposal highlights the use of scenario planning as a potential tool for developing this organizational “skill”, and clear next steps are described to examine our proposal as well as leverage the concept of organizational ambidexterity beyond that of a simple metaphor.  相似文献   
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The evolution of civilization appears to have primarily resulted from continuous improvement made possible by technological advances. A group of social evolutionists and economists have identified, among others, energy, transport, as well as information and communication to be the three most influential technologies. On the other hand, a number of eminent scholars have cited several forces, natural, physiological, technological, as well as environmental which can place a limit on on-going improvement.The purpose of this paper is to empirically explore the continuous improvement process as well as the limit placed on these three technologies. Using the framework of both connected and disconnected multiple technology S-curves and X-factor, historical improvement data on these three elements have been analyzed. The results of our analysis indicate that improvement in general has continued without limit mainly due to a series of emerging new technologies. These emerging technologies can be either connected or disconnected from the existing mature technologies. Our preliminary analysis shows that much of the past improvement comes from new technologies that on first serious application appear to be substantially superior from earlier technologies. In addition, enormous continuous improvement, which has accompanied both connected and disconnected new technologies appear to have played the critical role in sustaining the evolution of civilization. The paper discusses a number of policy implications and suggests topics for future research.  相似文献   
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