Special Issue of the Journal of Emerging Technologies in Accounting "Data Analytics and Business Decisions using Financial and Non-Financial Information in Big Data Environment".
The Journal of Emerging Technologies in Accounting is the journal of the Strategic and Emerging Technologies Section of the American Accounting Association (http://www2.aaahq.org/set/publications/jeta_site_pull2.cfm). JETA will publish a special issue entitled “Data Analytics and Business Decisions using Financial and Non-Financial Information in Big Data Environments”. Developing data analytics from non-traditional data types for business decisions is becoming popular, especially in big data environments. Text, images, video, audio, and other non-financial data types derived from sensors should reveal much more about a company’s performance than just the financial information alone. For example, risk assessment (whether it is the assessment of litigation risk, financial risk, business risk, or fraud risk) should be more informative when combining non-financial with financial data. New analytics stemming from big data should provide better tools to researchers and practitioners for assessing various kinds of risk.
The Special Issue will include academic research papers and contributions from leaders in the professional community. Examples of topics for the Special Issue include but are not limited to:
- Studies that use Big Data
- Text analytics for assessing risk
- Text Analytics to determine whether a change from one GAAP to IFRS GAAP yields more disclosure and hence more useful information
- Text analytics methods for accounting research (using techniques from the fields of computer science, statistical natural language processing, etc…)
- Video, image, and audio analytics to predict company performance
- Combining sensor data with traditional financial information
The search engine, Seek iNF, developed at the University of Kansas, is available free of cost until August 15, 2015 (as a courtesy of SeekEdgar LLC which has taken the license from the University of Kansas to develop and market it) to interested researchers who plan to submit a paper to the special issue of JETA. Please contact Dr. Raj Srivastava at seekedgar@gmail.com if you are interested in having free access to Seek iNF for a paper to be submitted to the journal.
Submit completed papers using the guidelines for regular JETA journal submissions. The editor of the special section is Kevin Moffitt (kevin.moffitt@business.rutgers.edu). Send submissions for the special issue by August 15, 2015 to the above editor and to Miklos A. Vasarhelyi. Email: miklosv@yahoo.com. Earlier submission is encouraged.
Seek iNF allows users to search for financial and non-financial information based on user specified search strings from the various SEC filings. Seek iNF provides tremendous opportunities for gathering information related to accounting, finance, marketing, tax, law, etc. to conduct research and develop various risk assessment models including financial risk and fraud risk using financial and non-financial information. It is incredibly fast, gets the results in seconds. Seek iNF has a built-in counter for the key words along with several Boolean logic such as "Exact Phrase", "All of the words", "At least one of the words", and "without the words". www.seekedgar.com