The identification of opportunities for growth can be made easier if comprehensive information relevant to the business environment is available to managers. Such recognition of business opportunities can also help sustain competitive advantage. Information relevant to business environment is usually written and posted in many languages and can be accessed from many sources. The collection of this information is time consuming and labor intensive and techniques such as environmental scanning that are proposed in previous research can facilitate this information search. In this study, we propose a technique to automatically perform tasks using text mining tools that search, translate, and extract information from online documents. Updated information produced by these tools will be current and accessible by all levels of management and facilitate managerial decision making.
Strong, Jody; Ghosh, Kaushik; and Conlon, Sumali
"Identifying Opportunities in Multilingual Business Environments Using Environmental Scanning and Text Mining Techniques,"
Journal of International Technology and Information Management: Vol. 17
, Article 2.
Available at: http://scholarworks.lib.csusb.edu/jitim/vol17/iss3/2