تحلیل تطبیقی ـ فازی قابلیت نوآوری ملّی مبتنی بر نتایج مدل تحلیل پوششی داده‌های شبکه‌ای پویا

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشگاه شهید بهشتی.

2 استاد، دانشگاه شهید بهشتی.

3 دانشیار، دانشگاه شهید بهشتی.

4 استادیار، دانشگاه شهید بهشتی.

چکیده

در این پژوهش با ارائه چارچوب قابلیت نوآوری ملّی در قالب نظام چندبخشی، یک مدل شبکه‌­ای و پویا معرفی می‌­شود. در این نظام به‌منظور شناسایی مسئله عملکردی کشور، ابتدا با استفاده از تحلیل کتاب‌شناختی و برگزاری جلسه‌های گروه کانونی با خبرگان، مراحل و شاخص­‌های مدل فرایندی، شناسایی و طراحی شدند؛ سپس مدل تحلیل پوششی داده‌­های شبکه‌­ای پویا برای محاسبه عملکرد کشور، در مقایسه با سایر کشورهای منطقه به‌­کار گرفته شد. نتایج مدل نشان داد که قابلیت نوآوری ملّی کشور در مرحله سوم، یعنی در تبدیل پتنت‌­ها به صادرات محصولات با فناوری بالا و کالاهای خلاقانه، ضعیف است. در ادامه به‌منظور ارائه سیاست پیشنهادی در ارتقای عملکرد کشور در مرحله سوم، با استفاده از تحلیل تطبیقی کیفی مجموعه فازی (fsQCA) ترکیبات ابعاد نهادها، سرمایه انسانی و پژوهش، زیرساخت، پیچیدگی بازار و پیچیدگی کسب‌وکار موردبررسی قرار گرفت و برای کالیبره‌‌کردن داده­ها از روش خوشه‌بندی K-MEANS استفاده شد. خروجی تحلیل یادشده نشان داد که ترکیب دو بُعد نهادها و سرمایه انسانی/ پژوهش در ارتقای عملکرد کشور شرط کافی است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model

نویسندگان [English]

  • Mohammad Ali Torabandeh 1
  • Behrouz Dorri Nokorani 2
  • Alireza Motameni 3
  • Masood Rabieh 4
1 Ph.D Student, Shahid Beheshti University.
2 Professor, Shahid Beheshti University.
3 Associate Professor, Shahid Beheshti University.
4 Assistant Professor, Shahid Beheshti University.
چکیده [English]

In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient.

کلیدواژه‌ها [English]

  • National Innovation Capability
  • Bibliometric Analysis
  • Dynamic Network DEA
  • Fuzzy Set Qualitative Comparative Analysis
  • K-MEANS Clustering Method

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