Leveraging Big Data to Predict Firms’ Performance

OTTO K.M., CHENG and RAYMOND, LAU (2016) Leveraging Big Data to Predict Firms’ Performance. In: Fifth International Conference On Advances in Economics, Management and Social Study - EMS 2016, 12-13 March,2016, Kuala Lumpur, Malaysia.

[img]
Preview
Text
20160321_070912.pdf - Published Version

Download (457kB) | Preview
Official URL: https://www.seekdl.org/conferences/paper/details/7...

Abstract

Though some research studies about big data have been reported in literature recently, few studies about applying big data analytics to analyze firms’ performance are performed and reported in existing business literature. Empowered by a novel framework of big data analytics, this paper illustrates our preliminary work of apply the proposed big data analytics framework to predict firms’ performance in stock market. In particular, the proposed framework leverages big data and probabilistic language modeling to analyze the stock performance of firms in near real-time. Our empirical test demonstrates the merits of the proposed framework. The practical implication of our research work is that firms can apply our big data analytics framework to analyze their internal and external performance, and hence develop more effective business strategies in advance.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Big Data, Big Data Analytics, Knowledge Management, Firm Performance
Depositing User: Mr. John Steve
Date Deposited: 27 Mar 2019 12:09
Last Modified: 27 Mar 2019 12:09
URI: http://publications.theired.org/id/eprint/983

Actions (login required)

View Item View Item