Community-Connect: COVID-19 Small Business Marketplace with Automated Regulation Matching and Company Lead Retrieval
Community-Connect: COVID-19 Small Business Marketplace with Automated Regulation Matching and Company Lead Retrieval
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DOI：
10.1109/iri51335.2021.00014
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
Erik Coltey;S. Vassigh;Shu‐Ching Chen
中科院分区：
文献类型：
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作者：
Erik Coltey;S. Vassigh;Shu‐Ching Chen
在COVID-19大流行等独特经济困境时期，小型企业可能相当困难。获取遵守此类事件后制定的安全法规所需的供应品的挑战可能会给这些企业带来压力。当供应链放缓时，这种情况进一步加剧，导致大多数大型供应商的全球短缺。本文提出了一个平台，以帮助这些企业相互采购COVID-19相关用品，如个人防护装备（PPE），利用先进的数据采集，集成和自然语言处理（NLP）方法。随着大流行结束在望，本文所述的平台可重新用于飓风、洪水等其他紧急情况。拟议的平台支持买家俱乐部（BC）内的业务交易，基于关键字的新企业加入平台的采购，以及使用比单词长度更长的编码将产品与相关法规相匹配，帮助企业遵守不断变化的法规环境。
Periods of unique economic distress such as the COVID-19 pandemic can be quite difficult for small businesses. Challenges acquiring the supplies necessary to adhere to safety regulations created in the wake of such events can introduce stress on these businesses. This is further exacerbated when supply chains have slowed down, leading to global shortages from most large suppliers. This paper proposes a platform to aid such businesses in procuring COVID-19 related supplies such as Personal Protective Equipment (PPE) from one another, leveraging advanced data acquisition, integration, and Natural Language Processing (NLP) methods. With the pandemic end in sight, the platform described in this paper can be reused for other emergencies such as hurricanes, floods, among others. The proposed platform supports business transactions within a Buyer's Club (BC), keyword-based sourcing of new businesses to join the platform, and matching products to relevant regulations using greater-than-word length encoding, helping businesses comply with the ever-changing regulatry landscape.