文化大學機構典藏 CCUR:Item 987654321/45687
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/45687


    题名: NEWS-BASED SOFT INFORMATION AS A CORPORATE COMPETITIVE ADVANTAGE
    作者: Hsu, MF (Hsu, Ming-Fu)
    Chang, TM (Chang, Te-Min)
    Lin, SJ (Lin, Sin-Jin)
    贡献者: 全商系
    关键词: supply chain network
    sentimental indicator
    decision making
    data envelopment analysis
    日期: 2020
    上传时间: 2020-02-07 14:05:48 (UTC+8)
    摘要: This study establishes a decision-making conceptual architecture that evaluates decision making units (DMUs) from numerous aspects. The architecture combines financial indicators together with a variety of data envelopment analysis (DEA) specifications to encapsulate more information to give a complete picture of a corporate's operation. To make outcomes more accessible to non-specialists, multidimensional scaling (MDS) was performed to visualize the data. Most previous studies on forecasting model construction have relied heavily on hard information, with quite a few works taking into consideration soft information, which contains much denser and more diverse messages than hard information. To overcome this challenge, we consider two different types of soft information: supply chain influential indicator (SCI) and sentimental indicator (STI). SCI is computed by joint utilization of text mining (TM) and social network analysis (SNA), with TM identifying the corporate's SC relationships from news articles and SNA to determining their impact on the network. STI is extracted from an accounting narrative so as to comprehensively illustrate the relationships between pervious and future performances. The analyzed outcomes are then fed into an artificial intelligence (AI)-based technique to construct the forecasting model. The introduced model, examined by real cases, is a promising alternative for performance forecasting.
    關聯: TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY 卷冊: 26 期: 1 頁數: 48-70
    显示于类别:[全球商務學位學程] 期刊論文

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