ارزیابی عملکرد نوآورانۀ شرکت‌های دانش‌بنیان با استفاده از تحلیل پوششی داده‌های شبکه‌ای-رویکرد تئوری بازی

نوع مقاله: مقاله علمی پژوهشی

نویسندگان

1 دانشیار گروه مدیریت صنعتی دانشکدۀ مدیریت دانشگاه تهران، تهران، ایران

2 استادیار مدیریت کسب و کار، دانشگاه خوارزمی، تهران، ایران

3 دانشیار، دانشکدۀ کارآفرینی، دانشگاه تهران، تهران، ایران

چکیده

 ارزیابی عملکرد و اندازه‌گیری کارایی شرکت‌های تولیدکنندۀ نرم‌افزار به‌عنوان مجموعه‌ای از شرکت‌های دانش‌بنیان و مقایسۀ آن‌ها با توجه به نامشخص بودن فرایندهای درونی و مراحل مشترک بین آن‌ها و نادیده انگاشتن این فرایندها به‌وسیلۀ مدل‌های مرسوم تحلیل پوششی داده‌ها و نیز چگونگی در نظر گرفتن این فرایندها در محاسبۀ کارایی از مسائلی هستند که این مقاله در پی بررسی آن‌هاست. هدف تعیین مراحل و فرایندهای درونی مشترک اجرای فعالیت‌های نوآورانه در این شرکت‌ها و سنجش کارایی مراحل و کارایی کل هر شرکت در یک دورۀ چهارساله است. از بررسی ادبیات و مصاحبه با خبرگان مشخص شد که همۀ شرکت‌ها دارای دو مرحلۀ متوالی تولید دانش و بهره‌برداری از آن هستند. برای تعیین کارایی ‌کل و مراحل، از تحلیل پوششی داده‌های شبکه‌ای-رویکرد نظریۀ بازی استفاده شده است. مدل‌سازی با روش رهبر- پیرو (بازی استاکل‌برگ) انجام گرفت. پس از حل نتایج نشان می‌دهد کارایی‌کل همۀ شرکت‌ها کمتر از یک است و در مرحلۀ اول فقط دو شرکت از سی‌وهشت شرکت بررسی‌شده و در مرحلۀ دوم فقط سه شرکت کاملاً کارا هستند.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of Innovative Performance of Knowledge based Company by Network Data Envelopment Analysis-Game Theory Approach

نویسندگان [English]

  • Sayed Mostafa Razavi 1
  • Soltanali Shahriari 2
  • Mahmod Ahmadpor Dariani 3
1 Associate Prof., Faculty of Management University of Tehran, Iran
2 Ph.D., Industrial Management, University of Tehran, Iran
3 Associate Prof., Faculty of Entrepreneurship University of Tehran, Iran
چکیده [English]

The performance evaluation and efficiency measurement of software companies and compare them together as a set of knowledge-based activities due to the unknown of internal processes and stages common to these companies and ignoring these processes in performance evaluation by data envelopment analysis models and how to consider these processes and procedures for calculating efficiency of each stage and overall efficiency of each company are the issues that this article effort to study them. The main objects of this study are determination the common stages and processes of innovation activities in software companies and measurement of the innovation efficiency of each stages and the overall efficiency of each company over a period of four years. The literature review and experts interviews revealed that each company has two series stages of knowledge production and exploitation processes. To determine the efficiency of each stage and the overall efficiency we used network data envelopment analysis- game theory approach. The modeling is done by the leader-follower method or Stackelberg game for two stages and their solved using GAMS software. The results show that the overall efficiency of all companies is less than one and in the first stage, only two of the 38 companies and in the second stage, only three of them are full efficient. It is suggested that inefficient firms at every stage follow its determined benchmarks to improve their operations.

کلیدواژه‌ها [English]

  • Network Data Envelopment Analysis
  • Game theory
  • Stackelberg game
  • Stage efficiency
  • Overall efficiency
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