کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5103934 | 1377409 | 2016 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks
ترجمه فارسی عنوان
قدرت پیوندهای طولانی و ضعف روابط قوی: انتشار دانش از طریق شبکه های زنجیره تامین
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کلمات کلیدی
انتشار دانش، زنجیره تامین، شبکه های، بهره وری، نوآوری،
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
چکیده انگلیسی
Using a large firm-level panel dataset for Japan, this paper examines the effects of the structure of supply chain networks on productivity and innovation capability through knowledge diffusion. We find that ties with distant suppliers improve productivity (as measured by sales per worker) more than ties with neighboring suppliers, which is likely because distant firms' intermediates embody more diversified knowledge than those from neighboring firms. Ties with neighboring clients improve productivity more than ties with distant clients, which is likely because neighboring clients more effectively diffuse disembodied knowledge than distant clients. By contrast, ties with distant suppliers and clients improve innovative capability (as measured by the number of registered patents), whereas ties with neighboring suppliers or clients do not affect innovative capability. In addition, the density of a firm's ego network (as measured by how densely its supply chain partners transact with one another) has a negative effect on productivity and innovative capability, implying knowledge redundancy in dense networks. These results suggest that access to diversified ties is important for improving productivity and innovation capability through knowledge diffusion.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Research Policy - Volume 45, Issue 9, November 2016, Pages 1890-1906
Journal: Research Policy - Volume 45, Issue 9, November 2016, Pages 1890-1906
نویسندگان
Yasuyuki Todo, Petr Matous, Hiroyasu Inoue,