شناسایی و رتبه‌بندی محرک‌های چابکی سازمان با استفاده از تکنیک FTOPSIS و برنامه‌ریزی کسری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، دانشگاه آزاد اسلامی.

2 استادیار، دانشگاه اصفهان.

چکیده

اولین گام در راستای دستیابی به چابکی سازمانی، شناسایی تغییرات و فشارهای وارده از محیط کسب‌وکار سازمان می‌باشد که به‌عنوان نیروهای محرکی عمل کرده و سازمان را به‌سمت اتخاذ استراتژی چابکی پیش می‌رانند. روش‌های معرفی شده برای دستیابی به چابکی، عموماً دارای یک نقص بوده و آن، عدم ارائه‌ی روشی علمی و منسجم برای شناسایی محرک‌های چابکی می‌باشد. لذا در این مقاله سعی می‌شود با بهره‌گیری از توانمندی‌های تکنیک تصمیم‌گیری چندمعیاره، روشی برای شناسایی و رتبه‌بندی عوامل محرک چابکی، ارائه گردد. بدین‌منظور در ابتدا با مطالعه‌ی ادبیات موضوع، مجموعه‌ای از محرک‌های چابکی و معیارهای ارزیابی آن‌ها، انتخاب شده و سپس با انجام مصاحبه با خبرگان یکی از مجتمع‌های صنعتی دولتی، عوامل محرک بر اساس محیط سازمان بهبود یافته‌اند. با تلفیق نتایج حاصل از آنتروپی فازی و نظر خبرگان، وزن شاخص‌ها محاسبه شده و با استفاده از تکنیک تاپسیس فازی و رویکرد برنامه‌ریزی کسری در تاپسیس فازی، دو روش برای رتبه‌بندی و تعیین اولویت پاسخ‌گویی به این عوامل، ارائه شده است. با‌توجهبه‌نتایجبه‌دست‌آمده از پژوهش، نیازها و انتظارات متغیر دولت از این صنعت، به‌عنوان مهم‌ترین محرک چابکی آن شناخته شده است.

کلیدواژه‌ها

عنوان مقاله [English]

Identifying and Prioritizing Agility Drivers Using FTOPSISAnd Fractional Programming Approach

نویسندگان [English]

  • Behnam Molavi 1
  • Majid Esmaelian 2
  • Reza Ansari 2
1 M.S,Islamic Azad University.
2 Assistant Professor, Isfahan University.
چکیده [English]

The firststepin order to achieveorganizationalagility is identification of changes and pressures from business environment, whichactasdrivingforces and lead to adoption of agility strategy in organization. Proposed models in the literature have disadvantage of the lack of scientific and coherent method to identify driving forces of agility. This paper, therefore, seeks to present a method for identifying and ranking the driving forces of agility by multi-criteria decision making techniques. The paper draws on a broad literature review to identify driving forces of agility and their evaluation criteria. Then, the literature findings developed with respondents’ contextualized practical experience. In the next stage, by combination of expert experience and fuzzy ENTROPY Weight of criteria are determined. Finally by use of FTOPSIS and fractional programming the Agility Drivers has been Prioritizing.
 
The results of this study indicate, changing expectations of state is the most important agility driver.

کلیدواژه‌ها [English]

  • Agility Driver
  • Agile Enterprise
  • MCDM
  • Fuzzy TOPSIS
  • Fuzzy ENTROPY

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