Template-type: ReDIF-Paper 1.0
Author-Name: Piyanuch Chaipornkaew
Author-Workplace-Name: College of Innovative Technology and Engineering Dhurakij Pundit University, Thailand
Author-Name: Takorn Prexawanprasut
Author-Workplace-Name: College of Innovative Technology and Engineering Dhurakij Pundit University, Thailand
Author-Name: Michael McAleer
Author-Workplace-Name: Department of Quantitative Finance National Tsing Hua University, Taiwan And Discipline of Business Analytics University 
	of Sydney Business School, Australia And Econometric Institute Erasmus School of Economics Erasmus University Rotterdam, Netherlands 
	and Department of Quantitative Economics Complutense University of Madrid, Spain and Institute of Advanced Sciences Yokohama National 
	University, Japan.
Title: You’ve Got Email: A Workflow Management Extraction System
Abstract: Email is one of the most powerful tools for communication. Many businesses use email as the main channel for communication, so it is 
	possible that substantial data are included in email content. In order to help businesses grow faster, a workflow management system may 
	be required. The data gathered from email content might be a robust source for a workflow management system. This research proposes an 
	email extraction system to extract data from any incoming emails into suitable database fields. The database, which is created by the 
	program, has been planned for the implementation of a workflow management system. The research is presented in three phases: (1) define 
	suitable criteria to extract data; (2) implement a program to extract data, and store them in a database; and (3) implement a program 
	for validating data in a database. Four criteria are applied for an email extraction system. The first criterion is to select contact 
	information at the end of the email content; the second criterion is to select specified keywords, such as tel, email, and mobile; the 
	third criterion is to select unique names, which start with a capital letter, such as the names of people, places, and corporates; the 
	fourth criterion is to select special texts, such as Co. Ltd. com, and www. The empirical results suggest that when all four criteria 
	are considered, the accuracy of a program and percentage of blank fields are at an acceptable level compared with the results from 
	other criteria. When four criteria are applied to extract 7,340 emails in English, the accuracy of this experiment is approximately 
	68.66%, while the percentage of blank fields in a database is approximately 68.05. The database created by the experiment can be 
	applied in a workflow management system.
Classification-JEL: J24, O31, O32, O33.
Keywords: Business operations, startup business, import/export industry, email, business data, workflow management system, business 
	transactions, migrating, email extraction system.
Length: 22 pages 
Creation-Date: 2017-05
Number: 2017-14
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae1714.txt
File-URL: https://eprints.ucm.es/id/eprint/42949/1/1714.pdf
File-Format: Application/pdf
Handle: RePEc:ucm:doicae:1714