支持技术预测的知识管理技术评价

Marc Henselewski, Stefan Smolnik, G. Riempp
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引用次数: 17

摘要

当今商业环境的特点是高度透明的市场和全球竞争。由于新技术的快速发展,技术生命周期正在缩短。为了在这种环境中竞争,有必要尽早识别即将到来的创新和趋势,以减少不确定性,实现技术领先,并创造竞争优势。与此同时,可获得的信息量已经很大,而且每天都在增加。随着技术创新的特征越来越多,每一个特征都对分析产生了新的需求,技术预测变得越来越具有挑战性。本文的目的是探讨知识管理技术在多大程度上支持和改进技术预测过程,以成功地面对上述问题。因此,我们将开发一个表征方案,作为后续评估知识管理技术的框架,并将其应用于现实世界的案例。
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Evaluation of Knowledge Management Technologies for the Support of Technology Forecasting
Today’s business environment is characterized by highly transparent markets and global competition. Technology life cycles are decreasing due to the fast pace at which development of new technologies is progressing. To compete in this environment, it is necessary to identify upcoming innovations and trends as early as possible to decrease uncertainty, implement technology leadership, and create competitive advantage. In a parallel development, the amount of information available is already vast and increasing daily. With a growing number of features for innovation in technology, each contributing a new need for analysis, technology forecasting has become increasingly challenging. The goal of our paper is to investigate to what extent knowledge management technologies support and improve the technology forecasting process to face the aforementioned problems successfully. Consequently, we will develop a characterization scheme which works as a framework for the subsequent evaluation of knowledge management technologies and apply this to a real world case.
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