مباحث برجسته همگرایی فناوری
ترجمه نشده

مباحث برجسته همگرایی فناوری

عنوان فارسی مقاله: رویکردی برای شناسایی مباحث برجسته همگرایی فناوری: مطالعه موردی برای چاپ سه بعدی
عنوان انگلیسی مقاله: An approach to identify emergent topics of technological convergence: A case study for 3D printing
مجله/کنفرانس: پیش بینی فناورانه و تغییرات اجتماعی – Technological Forecasting and Social Change
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: نوآوری تکنولوژی، مدیریت نوآوری و فناوری
کلمات کلیدی فارسی: همگرایی فناوری، مباحث برجسته، شرایط مهم، طبقه بندی ثبت اختراع بین المللی، چاپ سه بعدی
کلمات کلیدی انگلیسی: Technological Convergence (TC)، Emergent Topics (ETopics)، Emergent Terms (ETs)، International Patent Classification (IPC)، ۳D printing
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.techfore.2018.12.015
دانشگاه: School of Management & Economics, Beijing Institute of Technology, Beijing 100081, China
صفحات مقاله انگلیسی: 10
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.852 در سال 2018
شاخص H_index: 93 در سال 2019
شاخص SJR: 1.422 در سال 2018
شناسه ISSN: 0040-1625
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E13397
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

1. Introduction

2. Theoretical background

3. Proposed methodology

4. Empirical study

5. Conclusions and discussions

Acknowledgements

Appendix A. Screenshot of the emergence script control panel

References

بخشی از مقاله (انگلیسی)

Abstract

Technological Convergence (TC) reflects developmental processes that overlap different technological fields. It holds promise to yield outcomes that exceed the sum of its subparts. Measuring emergence for a TC environment can inform innovation management. This paper suggests a novel approach to identify Emergent Topics (ETopics) of the TC environment within a target technology domain using patent information. A non-TC environment is constructed as a comparison group. First, TC is operationalized as a co-classification of a given patent into multiple 4-digit IPC codes (≥۲-IPC). We take a set of patents and parse those into three sub-datasets based on the number of IPC codes assigned 1-IPC (Non-TC), 2-IPC and ≥۳-IPC. Second, a method is applied to identify emergent terms (ETs) and calculate emergence score for each term in each sub-dataset. Finally, we cluster those ETs using Principal Components Analysis (PCA) to generate a factor map with ETopics. A convergent domain – ۳D printing – is selected to present the illustrative results. Results affirm that for 3D printing, emergent topics in TC patents are distinctly different from those in non-TC patents. The number of ETs in the TC environment is increasing annually.

Introduction

Actions such as sharing similar technological characteristics accelerate the erosion of distinct barriers among industries. Technologies commercialized in one industry could significantly influence, or even shape, the nature of a product and process evolution in other industries. This growing trend is broadly known as Technological Convergence (Lei, 2000). Regarding the converging environment, sourcing the essential technological knowledge from beyond their own industry is often necessary and key to successful innovation management. New and emerging technologies appear frequently in the converging environment, at the boundaries of different technology fields. Martin (1995) has emphasized the foresight of the most promising research areas and emerging technologies that can yield longer-term economic and social benefits. He also introduced the notion of “convergence of technological fields” as one characteristic of general emerging technologies. Emerging technologies have the potential to be highly generative and may open up whole new areas of technology and science (Breitzman and Thomas, 2015). In academia, the existing literature is oriented toward patent-based approaches for the identification of emerging technologies (Lee et al., 2017). Yet, there is a lack of exploration for emerging technologies in the convergence environment. We have asked the research question: Is there an analytical approach to help identify and distinguish emergent topics in the convergence environment?