مقاله انگلیسی رایگان در مورد فناوری پردازش و تعادل برون سپاری پایدار – الزویر ۲۰۲۰

مقاله انگلیسی رایگان در مورد فناوری پردازش و تعادل برون سپاری پایدار – الزویر ۲۰۲۰

 

مشخصات مقاله
ترجمه عنوان مقاله نقش روش طراحی و فناوری پردازش در تعادل برون سپاری پایدار
عنوان انگلیسی مقاله The role of design method and process technology in stable outsourcing equilibria
انتشار مقاله سال ۲۰۲۰
تعداد صفحات مقاله انگلیسی ۱۳ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۱٫۰۳۲ در سال ۲۰۱۹
شاخص H_index ۷۴ در سال ۲۰۲۰
شاخص SJR ۱٫۲۳۹ در سال ۲۰۱۹
شناسه ISSN ۰۱۶۷-۷۱۸۷
شاخص Quartile (چارک) Q1 در سال ۲۰۱۹
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط اقتصاد
گرایش های مرتبط اقتصاد نظری، اقتصادسنجی
نوع ارائه مقاله
ژورنال
مجله  مجله بین المللی سازمان صنعتی – International Journal of Industrial Organization
دانشگاه  Department of Economics, University of Colorado at Boulder, 256 UCB, Boulder, CO 80309, USA
کلمات کلیدی  برون سپاری، ادغام عمودی، صنعت نیمه هادی
کلمات کلیدی انگلیسی Outsourcing، Vertical integration، Semiconductor industry
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ijindorg.2019.102565
کد محصول E14512
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
JEL classification
۱٫ Introduction
۲٫ Theoretical analysis
۳٫ Empirical evidence
۴٫ Conclusion
Author Contribution
Appendix
References

بخشی از متن مقاله:
Abstract

We analyze a model of vertical (dis)integration between manufacturing and design in a monopolistically competitive market. Specialized input manufacturers can serve multiple design firms and the manufacturer-designer pairs negotiate a non-binding contract to share input customization cost and production surplus. Hand-collected data on 387 product lines from 118 semiconductor firms are used to predict the firm’s decision to outsource manufacturing. We find that, for instance, the use of design tools that facilitate collaboration and process technologies that facilitate learning are both positively associated with outsourcing, consistent with the model’s prediction.

Introduction

With the technological advancement in the 20th century and the establishment of such pioneering firms as Fairchild Semiconductor, practicable semiconductor devices, especially in the form of integrated circuits (ICs, or ‘chips’), have shaped the evolution of electronics industries. Originally, semiconductor devices were produced by the so-called integrated device manufacturers (IDMs) having both the capacity to design and manufacture semiconductor devices. A well-known example is Intel, which developed the first microprocessor in 1971 and still dominates the microprocessor product market today. By the late 1980s, however, the so-called foundry model came into being. The foundry model refers to the separation of chip design and fabrication process into different business entities.1 Design firms are often called ‘fabless’ and specialized manufacturers are called ‘foundries.’ Concurrently, most of the foundries were established in Asia, such as Taiwan Semiconductor Manufacturing Company (TSMC, founded in 1987), and there are numerous fabless companies today in many parts of the world specializing in chip designs for a broad range of applications from mobile phones to internet-of-things to self-driving cars. Although a number of industry reports (such as McKinsey & Co’s) and newspaper articles have talked about what might have given rise to the popularity of the foundry model, there have been relatively few studies that rigorously investigate such arguments theoretically and/or empirically, especially using data from the 21st century (see below). This paper fills this gap by presenting an industry equilibrium that explains the conditions under which a stable outsourcing equilibrium may arise and empirically showing that the factors that are highlighted in the model as the drivers can indeed explain a significant variation in the data.

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