作者: Te-Min Chang , Ming-Fu Hsu , Sin-Jin Lin
DOI: 10.1016/J.INS.2017.10.004
关键词: Risk management 、 Profit margin 、 Profitability index 、 Competitive advantage 、 Artificial intelligence 、 Scarcity 、 Analytic network process 、 Computer science 、 Social network 、 Industrial organization 、 Corporation
摘要: Abstract The deterioration in a corporation's profitability not only threatens its interests and sustainable development but also causes tremendous losses to other investors. Hence, constructing an effective pre-warning model for performance forecasting is urgent requirement. Most previous studies analyzed monetary-based ratios, merely considering such ratios does depict the full perspective of business conditions. This study thus extends non-monetary-based aggregates them through analytic network process (ANP) with risk-adjusted strategy establish ranks corporations. Analyzing relationships can help it react changes market improve profit margins, as draws upon relationship networks transfer scarce resources knowledge. We believe that no current adopts method construct model. To fill this gap literature, implements social (SN) technique examine competitive edge from seemingly noisy big media data, which are subsequently fed into artificial intelligence (AI)-based introduced model, examined real-life cases under numerous conditions, offers promising alternative forecasting.