Business model mining: Analyzing a firm’s business model with text mining of annual report
Year: 2013
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Lee, Jihwan; Hong, Yoo S.
Series: ICED
Institution: Seoul National University, Korea, Republic of (South Korea)
Page(s): 091-100
ISBN: 978-1-904670-46-9
ISSN: 2220-4334
Abstract
As the business model is receiving considerable attention these days, the ability to collect business model related information has become essential requirement for a company. The annual report is one of the most important external documents which contain crucial information about the company’s business model. Investigation of business description and their future strategies within the annual report, we can easily analyze a company’s business model. However given sheer volume of the data, which is usually over a hundred pages, it is not practical to depend only on human’s effort. The purpose of this study is to complement manual extraction process by using text mining techniques. In this study, the text mining technique is applied in (1) business model concept extraction and (2) business model evolution analysis. By concept, we mean overview of a company’s business model within a specific year, and, by evolution, we mean temporal change of the business model concept over time. The efficiency and effectiveness of our methodology is illustrated by a case example of three companies in U.S. video rental industry.
Keywords: Business model, annual report, text mining, concept, evolution