بررسی و اولویت‌‌بندی مخاطره‌های تأثیرگذار در استفاده ‌داده‌های بزرگ در سازمان

نویسندگان

1 پژوهشکده فضای مجازی، دانشگاه شهیدبهشتی، تهران، ایران

2 پژوهشکده مدیریت و حسابداری، گروه مدیریت صنعتی و فناوری اطلاعات، دانشگاه شهیدبهشتی، تهران؛ ایران.

چکیده

سازمان‌ها روزانه حجم زیادی از داد‌ه‏های متفاوت و ارزشمند تولید می‌کنند. شناسایی مخاطره‏های استفاده و پردازش کلان داده‏های سازمانی و یافتن راهکارهایی جهت مدیریت و کاهش این مخاطرات، راه را برای موفقیت سازمان‏ها و دست یافتن به مزیت رقابتی باز می‏کند. از سوی دیگر، به‌دلیل پویایی محیط کسب‏وکار، عوامل اثرگذار بر کاهش مخاطرات بر روی یکدیگر در سازمان‌ها تأثیرگذار هستند و تغییر در وضعیت یک عامل به‌صورت مستقیم یا غیرمستقیم بر عوامل دیگر تأثیرگذار خواهد بود. هدف از تحقیق پیشِ ‌رو، افزون‌بر شناسایی عوامل مؤثر بر کاهش مخاطره‏های ناشی از استفاده کلان داده‏های سازمانی، تحلیل ارتباط بین عوامل و در نهایت، اولویت‏بندی عوامل با در نظرگرفتن رابطه بین آنهاست. به‌همین منظور، با بررسی مرور ادبیات موضوعی و نظرات خبرگان، چارچوبی متشکل از 4 حوزه تأثیرگذار و 44 عامل مؤثر تشکیل گردید. با توجه به ماهیت کیفی عوامل تأثیرگذار از مفاهیم فازی جهت مدل‌سازی و تحلیل استفاده شده و به‌منظور مدل‌سازی روابط میان عوامل و تعیین تأثیرگذارترین و تأثیرپذیرین عامل در سازمان‏ها از تکنیک «دیمتل فازی» استفاده شده است. مدل‌سازی‌های انجام‌شده در این مقاله بر اساس نظر خبرگان است و به‌دنبال آن، نتایج مدل‌سازی و محاسبات با نظرات خبرگان ارزیابی گردیده است. سازمان‌ها با استفاده از دستاوردهای این پژوهش و روش مدل‌سازی اشاره‌شده در این تحقیق می‌توانند مدل‌سازی متناسب با شرایط خود را انجام داده و نسبت به برنامه‌ریزی جهت کاهش هرچه بیشتر مخاطرات استفاده از کلان‌داده‌های سازمانی خود اقدام نمایند.

کلیدواژه‌ها


عنوان مقاله [English]

Review and prioritization the Risks affecting the use of organizational big data

نویسندگان [English]

  • Sadra Ahmadi 1
  • Sanaz Ghorbanloo 2
1
2
چکیده [English]

Organizations produce massive volumes of variant and valuable data on a daily basis. Identifying the risks of using and processing organizational big data and finding solutions to manage and reduce these risks, paves the way for organizations to succeed and gain a competitive advantage. On the other hand, in organizations, due to the dynamics of the business environment, the factors affecting the reduction of risks affect each other, and a change in the status of one factor will directly or indirectly affect other factors. For this purpose, by reviewing the thematic literature and the opinions of experts, a framework consisting of 4 influential areas and 44 effective factors was formed. According to the qualitative nature of the influencing factors, fuzzy concepts have been used for modeling and analysis. Furthermore, to model the relationships between factors and determine the most effective and influential factor in organizations, the FUZZY DEMATEL technique has been used. In this article, the modelling is based on the opinion of experts and subsequently, the results of modeling and calculations have been evaluated with the opinion of experts. By using the achievements and modelling methods mentioned in this research and according to the needs of the organization, they can model and plan to minimize the risks of using their organizational big data as much as possible.

کلیدواژه‌ها [English]

  • Big Data
  • Big Data Lifecycle
  • Demetel Fuzzy Technique
  • Big Data Risk
  • capability
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