کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883360 1444172 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Risk assessment for global supplier selection using text mining
ترجمه فارسی عنوان
ارزیابی ریسک برای انتخاب تامین کننده جهانی با استفاده از معدن متن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Adequate global sourcing makes a strategic difference to an organization's ability to reduce cost and improve the quality of its product. However, the global sourcing makes the process of supplier selection riskier and more complex. The data required for confronting the criteria needs to be specific and up-to-date. Now that we have entered the Big Data era with the prominence of social media and social networks such as Twitter, Facebook, LinkedIn; we now have access to global insights and knowledge regarding international suppliers. In this research, we propose a Twitter Enabled Supplier Status Assessment (TESSA) tool that can assist companies in their global supplier selection process. TESSA firstly retrieves a target supplier's related information from the most popular microblog Twitter and then obtains potential risk and uncertainty regarding the supplier through text mining. The discovered risks and uncertainties for companies making better decision on their global supplier selection process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 68, May 2018, Pages 140-155
نویسندگان
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