دانلود رایگان مقاله انگلیسی ارزیابی ریسک برای انتخاب تامین کننده جهانی با استفاده از متن کاوی - الزویر 2018

عنوان فارسی
ارزیابی ریسک برای انتخاب تامین کننده جهانی با استفاده از متن کاوی
عنوان انگلیسی
Risk assessment for global supplier selection using text mining
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
16
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E8465
رشته های مرتبط با این مقاله
مهندسی صنایع و مدیریت
گرایش های مرتبط با این مقاله
مدیریت استراتژیک، لجستیک و زنجیره تامین
مجله
کامپیوترها و مهندسی برق - Computers and Electrical Engineering
دانشگاه
Department of Industrial Engineering & Management - Yuan Ze University - Taiwan
کلمات کلیدی
انتخاب تامین کننده جهانی، متن کاوی، رسانه های اجتماعی، ابزار ارزیابی وضعیت تامین کننده فعال توییتر
چکیده

ABSTRACT


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.

نتیجه گیری

5. Conclusion


The development of Twitter Enabled Supplier Status Assessment can be critical for any company in need of an international supplier, the results obtained show high levels of accuracy and performance. This tool allows companies to have a better insight when selecting an international supplier. It can assist the decision team by narrowing down their list of potentials suppliers by exposing their risks and uncertainties; It can give the supplier selection team more knowledge to make the appropriate decision regarding their needs.


In the supplier selection process a big issue is the lack of sufficient information, companies use complex methodologies to overcome the lack of data by using different statistical methods; however, the tool of Twitter Enabled Supplier Status Assessment holds a better solution, to take advantage of an immense pool of information which is Social Media. This tool can be used with other social media sites not just Twitter and allow companies to have access to the data they long for. This data is accurate, up to date and non-biased.


Another contribution from this research is the Risk and Uncertainty Ontology developed, it portraits a general view of the risks in the industry, with different aspects and attributes to help the classification be more fine-grained. One of Twitter Enabled Supplier Status Assessment tool main perks is that is created with open source tools, making it accessible for everyone.


Twitter Enabled Supplier Status Assessment can help companies get more involved in this Big Data era and take advantage of the knowledge. This tool can help companies integrate Social Media as a source of information not just for their future suppliers, but for their current ones as well. They can be up to date regarding any risks their current suppliers might be exposed to, providing them more control over their supply chain.


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