طراحی مدل نقشه شناخت فازی عوامل مؤثر بر سیاست‌گذاری علم، فناوری و نوآوری در منطقه ویژه علم و فناوری استان یزد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران.

2 دکتری مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران.

3 دانشیار گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران.

4 استادیارگروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران.

5 دانشجوی دکتری مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران.

چکیده

شاخص‌های سیاست‌گذاری علم، فناوری و نوآوری برای فراهم‌آوردن اطلاعات لازم جهت پشتیبانی از سیاست‌گذاری مبتنی بر شواهد و همچنین فراهم‌ساختن امکانات نظارت و ارزیابی موثر بر سیاست‌ها حائز اهمیت هستند. همچنین بـه دلیل پیچیدگی زیادی که نظام علم، فناوری و نوآوری دارد، طراحـی مدلی جـامع بـرای سیاست‌گذاری این حوزه، یکی از دغدغه‌های مهم سیاست‌گذاران و تصمیم‌گیـران اسـت. هدف اصلی این پژوهش طراحی مدل ارتباط‌دهنده میان عوامل اثرگذار بر سیاست‌گذاری مناسب پدیده علم، فناوری و نوآوری و همچنین نحوه اثرگذاری عوامل است. با بررسی جامع پیشینه تحقیق، چارچوبی مفهومی از عوامل مؤثر و شکل‌دهنده سیاست‌گذاری علم، فناوری و نوآوری استخراج گردید. وضعیت موجود و اهمیت این عوامل با استفاده از پرسشنامه‌ 56 سؤالی مورد سوال قرارگرفت. با استفاده از داده‌های به دست آمده از پرسشنامه و نرم‌افزار SPSS، ماتریس همبستگی ساده پیرسون استخراج و به عنوان ورودی نرم‌افزار FCMapper مورد استفاده قرار گرفت. سپس با واردکردن خروجی نرم‌افزار FCMapper در نرم‌افزار Pajek به رسم نقشه شناختی فازی پرداخته شده است. با توجه به نتایج به دست آمده عامل اشتغال در حوزه سیاست‌گذاری به عنوان مهم‌ترین عامل در بین سایر عوامل شناسایی گردید. در انتها مهم‌ترین سناریوهای روبه‌جلو و روبه عقب برای سیاست‌گذاری علم، فناوری و نوآوری در منطقه ویژه علم و فناوری استان یزد مورد بررسی قرار گرفته است.

کلیدواژه‌ها


عنوان مقاله [English]

Designing a Fuzzy Cognition Map Model of Factors Affecting Science, Technology and Innovation Policy-Making in Yazd Science and Technology Corridor

نویسندگان [English]

  • Habib Zare Ahmadabadi 1
  • Ali Saffari Darberazi 2
  • Davood Andalib Ardakani 3
  • Seyed Reza Salami 4
  • Pooria Malekinejad 5
1 Assistant Professor, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
2 PhD in Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
3 Assistant Professor, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
4 Assistant Professor, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.
5 PhD candidate of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
چکیده [English]

Policy, science, and innovation policy indicators are important to provide the information needed to support evidence-based policy, as well as to provide effective monitoring and evaluation capabilities for policies. Also, due to the great complexity of the system of science, technology and innovation, designing a comprehensive model for policy-making in this area is one of the major concerns of policy makers and decision makers. The main purpose of this study is to design a linking model between the factors affecting the appropriate policy-making of the phenomenon of science, technology and innovation, as well as how the factors affect. By comprehensively reviewing the research background, a conceptual framework was extracted from the effective and shaping factors of science, technology and innovation policy. The current status and importance of these factors were questioned using a 56-item questionnaire. Using the data obtained from the questionnaire and SPSS software, Pearson simple correlation matrix was extracted and used as input of FCMapper software. Then, by entering the output of FCMapper software in Pajek software, a fuzzy cognitive map is drawn. According to the obtained results, the employment factor in the field of policy-making was identified as the most important factor among other factors. Finally, the most important forward and backward scenarios for science, technology and innovation policy-making in the science and technology corridor of Yazd province are examined.

کلیدواژه‌ها [English]

  • Science
  • Technology and innovation policy
  • Yazd Science and Technology corridor
  • Fuzzy cognitive map
  • Scenario
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