Social Media Big Data Analytics for Demand Forecasting: Development and Case Implementation of an Innovative Framework

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Social Media Big Data Analytics for Demand Forecasting: Development and Case Implementation of an Innovative Framework

机译：用于需求预测的社交媒体大数据分析：创新框架的开发和案例实施

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Social media big data offers insights that can be used to make predictions of products' future demand and add value to the supply chain performance. The paper presents a framework for improvement of demand forecasting in a supply chain using social media data from Twitter and Facebook. The proposed framework uses sentiment, trend, and word analysis results from social media big data in an extended Bass emotion model along with predictive modelling on historical sales data to predict product demand. The forecasting framework is validated through a case study in a retail supply chain. It is concluded that the proposed framework for forecasting has a positive effect on improving accuracy of demand forecasting in a supply chain.

机译：社交媒体大数据提供了洞察力，可用于预测产品的未来需求并为供应链绩效增加价值。本文提出了一个框架，该框架使用来自Twitter和Facebook的社交媒体数据来改善供应链中的需求预测。提出的框架在扩展的Bass情感模型中使用社交媒体大数据的情感，趋势和单词分析结果，以及对历史销售数据的预测模型来预测产品需求。预测框架通过零售供应链中的案例研究得到验证。结论是，所提出的预测框架对提高供应链中需求预测的准确性具有积极作用。

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《Journal of global information management》 |2020年第1期|103-120|共18页
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Maynooth Univ Sch Business Maynooth Kildare Ireland;

Victoria Univ Wellington Area Strateg Innovat & Entrepreneurship Wellington New Zealand;

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原文格式 PDF
正文语种 eng
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关键词
Apparel Supply Chain; Bass Emotion Model; Big Data; Demand Forecasting; Emotion Enhanced Model; Sentiment Analysis; Social Media; Supply Chain Management;

机译：服装供应链;低音情感模型;大数据;需求预测;情感增强模型;情绪分析;社交媒体;供应链管理;

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机译：通过本体工程分析云上的社交媒体大数据，以开发社会责任软件框架
2. Detecting customers knowledge from social media big data: toward an integrated methodological framework based on netnography and business analytics [J] . Journal of knowledge management . 2020,第4期

机译：从社交媒体大数据检测客户知识：朝着基于NetNography和业务分析的综合方法论框架
3. Twitter data analytical methodology development for prediction of start-up firms' social media marketing level [J] . Jung Sang Hoon, Jeong Yong Jin Technology in society . 2020,第Nova期

机译：推特数据分析方法开发，以预测启动公司的社交媒体营销水平
4. Towards the development of a framework for socially responsible software by analyzing social media big data on cloud through ontological engineering [C] . Alok Chauhan, V. Vijayakumar, Rajiv Vincent, International Symposium on Big Data, Cloud and Computing Challenges . 2015

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5. Using Social Media Data in Demand Forecasting: The Case of Walmart [D] . Akıcı, Aybike 2018

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8. National Intercity Travel. Development and Implementation of a Demand Forecasting Framework [R] . Ellis, R. H., Rassam, P. R. 1970

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Social Media Big Data Analytics for Demand Forecasting: Development and Case Implementation of an Innovative Framework

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