By Alan L. Porter, Scott W. Cunningham
ISBN-10: 047147567X
ISBN-13: 9780471475675
A business's competitiveness is determined by the powerful use of the sizeable quantities of data on hand. Tech Mining: Exploiting New applied sciences for aggressive virtue indicates know-how managers and different execs not just tips on how to sift in the course of the chaff and get to the major kernels that bring about innovation - in brief, details administration - yet the best way to make higher use of data leads in an effort to make greater judgements.
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Additional info for Tech Mining: Technology Management through Information Mining
Example text
However, 15, or so, key databases filter and compile major segments of the key publication and patent information. , pharmaceuticals, chemicals, aerospace, consumer goods), a company’s competitive technological intelligence and tech foresight professionals might only access one to five databases to get excellent coverage of what they need to know. The world’s leading center of “scientometrics”—the Center for Science and Technology Studies at the University of Leiden—accomplishes most of its work of profiling national and organizational R&D publication by using just four databases: SCI, INSPEC, EI Compendex, and MEDLINE.
Cross-disciplinary and cross-sector knowledge awareness and integration is mandatory (Rasmussen, 1997). Tech mining can play a major role in forming these integrative links. New scientific knowledge is generated primarily in specialist communities. In some ways the quality of this new knowledge can only be assessed by others in the same community. But the knowledge itself must be utilized and integrated by others who often have vastly different skills. Recognizing expert specialists can prove challenging.
Innovations are increasingly dependent on new science, and new sciences such as nanotechnology are increasingly multidisciplinary and therefore distributed across multiple fields. Observers have called for a device called the “memex”—a machine that could link and correlate ideas, finding connections and recommending relevant resources. Today, we have the Internet, but the vision of a seamless network of knowledge seems as distant as it was in the 1930s when the memex notion was conceived (discussed further in Chapter 2).
Tech Mining: Technology Management through Information Mining by Alan L. Porter, Scott W. Cunningham
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