منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
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دانلود رایگان مقاله تلفیق فناوری: شناسایی و تجزیه و تحلیل محرکان همگرایی تکنولوژی با استفاده از داده های ثبت اختراع

عنوان فارسی
تلفیق فناوری: شناسایی و تجزیه و تحلیل محرکان همگرایی تکنولوژی با استفاده از داده های ثبت اختراع
عنوان انگلیسی
Technology fusion: Identification and analysis of the drivers of technology convergence using patent data
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
11
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4701
رشته های مرتبط با این مقاله
مهندسی صنایع
گرایش های مرتبط با این مقاله
تکنولوژی صنعتی
مجله
تکنولوژی - Technovation
دانشگاه
گروه مدیریت و مهندسی تولید، تورینو، ایتالیا
کلمات کلیدی
تلفیق فناوری، همگرایی فناوری، پیش بینی فناوری، داده های ثبت اختراع
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

abstract


The concepts of technology convergence or technology fusion describe the phenomenon of technology overlap. Despite evidence of the higher value associated to interdisciplinary research and cross-industry innovation, few studies have investigated the characteristics of technology fusion based on patent data. This study identifies new cases of convergence relying on the International Patent Classification (IPC) of patents filed at the European Patent Office between 1991 and 2007: the first occurrence of a patent incorporating a combination of IPC subclasses signals a new instance of fusion. Duration models are employed to investigate the impact of field level characteristics derived from patent bibliometrics on the likelihood of identifying a new fusion. The results show that merges are more frequent if the focal technology fields are closely related (based on a higher number of cross citations), are characterized by wide technological scope, and are the result of an inter-firm collaboration. In contrast to previous findings, the results show that the more complex the technologies involved, the less the likelihood of their convergence or fusion. The correlation between fusion likelihood and the characteristics of the merging fields could help managers and policymakers to predict the emergence of new technology areas.

نتیجه گیری

5. Discussion


The analysis in this paper exploits the availability and characteristics of patent data which commonly are employed to proxy for certain technological dimensions and the associated hierarchical classification of the inventions, the IPC code which provides a structure useful to identify technological fields and their overlap across time. The analyzed sample includes all EPO patents filed between 1991 and 2007.


بدون دیدگاه