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Comparing technological hype cycles: Towards a theory

机译:比较技术炒作周期:走向理论

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The notion of'hype' is widely used and represents a tempting way to characterize developments in technological fields. The term appears in business as well as in academic domains. Consultancy firms offer technological hype cycle models to determine the state of development of technological fields in order to facilitate strategic investment decisions. In Science, Technology and Innovation Studies the concept of hype is considered in studies on the dynamics of expectations in innovation processes, which focuses on the performative force of expectations. What is still lacking is a theory of hype patterns that is able to explain the different shapes of hype cycles in different contexts. In this paper we take a first step towards closing this gap by studying and comparing the results of case studies on three hypes in three different empirical domains: voice over internet protocol (VoIP), gene therapy and high-temperature superconductivity. The cases differ in terms of the type of technology and the characteristics of the application environment. We conclude that hype patterns indeed vary a lot, and that the interplay of expectations at different levels affects the ability of a field to cope with hype and disappointment.
机译:“炒作”的概念已被广泛使用,它代表了表征技术领域发展的诱人方式。该术语出现在商业以及学术领域。咨询公司提供技术炒作周期模型,以确定技术领域的发展状况,以便于战略投资决策。在科学,技术和创新研究中,关于创新过程中期望的动态的研究中考虑了炒作的概念,该研究关注期望的执行力。仍然缺乏一种炒作模式的理论,该理论能够解释不同情况下的炒作周期的不同形状。在本文中,我们通过研究和比较三个不同经验领域的三种炒作的案例研究结果,迈出了弥合这一差距的第一步:互联网协议语音(VoIP),基因治疗和高温超导。情况因技术类型和应用程序环境的特性而异。我们得出的结论是,炒作模式的确存在很大差异,并且不同级别的期望之间的相互作用会影响一个领域应对炒作和失望的能力。

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