طراحی مدل ارزیابی عملکرد دو‌سطحی پارک‌های علم‌و‌فناوری با استفاده از تحلیل پوششی داده‌ها

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی و مالی، دانشکده مدیریت و حسابداری، پردیس فارابی دانشگاه تهران، قم، ایران

2 استاد، گروه مدیرت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرس، تهران، ایران

3 استادیار، گروه مدیریت دولتی و امور عمومی، دانشکده مدیریت و حسابداری، پردیس فارابی دانشگاه تهران، قم، ایران

چکیده

در عصر اقتصاد دانش‌بنیان، یکی‌ از مهم‌ترین نهادهای تأثیرگذار بر رشد این اقتصاد ارزیابی عملکرد است. هدف این پژوهش ارائه مدلی جهت ارزیابی کارایی پارک‌های علم‌وفناوری و شرکت‌های مستقر در آن‌ها با توجه به مختصات جغرافیایی-اقتصادی ایران است. در این پژوهش، ابتدا پژوهشگران با استفاده از مبانی نظری و نظر خبرگان متغیرهای مورداستفاده برای ارزیابی عملکرد پارک‌های علم‌وفناوری را شناسایی نمودند. به‌علاوه برای بالا بردن روایی مدل از توپولوژی‌های متفاوت متغیرها استفاده شد تا بهترین ارتباط میان این متغیرها و همچنین بالاترین سطح کارایی واحدهای تصمیم‌گیری شناسایی شود.
از طرف دیگر، مدل تحلیل پوششی داده‌های دوسطحی استوار برای ارزیابی عملکرد پارک انتخاب شد. مدل ریاضی با توجه به ماهیت مسئله و همچنین بسط موری و بنکر توسعه داده شد. این تغییرات موجب توسعه مدل دوسطحی استوار تحلیل پوششی داده‌ها با متغیر غیراختیاری شد. درنهایت، کارایی پارک‌های علم‌وفناوری و واحدهای مستقر در دو مدل، بدون استفاده از متغیر غیراختیاری و با استفاده از متغیر اختیاری تشکیل و نتایج آن‌ها موردمقایسه قرار گرفت. بر اساس نتایج متغیر‌های غیراختیاری درصد تولید ناخالص هر استان و طول عمر پارک به‌عنوان متغیر میانجی شناسایی شدند.

کلیدواژه‌ها


عنوان مقاله [English]

Designing Multilevel Assessment model to evaluate science and technology parks using DEA

نویسندگان [English]

  • mahdi nikneshan 1
  • Adel Azar 2
  • said hossion akhavan alavi 3
1 industrial management, university of Tehran
2 Professor, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
3 Assistant Professor, Faculty of Public Administration & Management, Farabi collage, Tehran University, Qom, Iran
چکیده [English]

In knowledge base economy, performance evaluation of STPs as one of the most important entities in this economy is vital. In this research, we used literature review and industries expert interviews to determine what criteria are necessary to assess STPs. different topologies was used to assess the validity of the model and best model was chosen through highest reliability criteria. By comparison we made sure that selected criteria are reliably aligned with sience and technology parks objectives. On mathematical side we used robust multi-level DEA to assess STPs performances. We developed a Multi-level DEA with Non-Discretionary using banker's extension. Applying the developed model and the original model we assessed the efficiency of Iranian STPs.Then we compared the results for these two model on efficiency of DMUs, and their respecting weights using regression analysis. Based on the results two moderator variables (Park maturity and percentage of gross production in state) variable was identified and their impact on model and efficiency of DMUs was evaluated as high.

کلیدواژه‌ها [English]

  • Science and technology parks
  • Multi-level Assessment
  • Robust DEA
  • Non-Discretionary Factors
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