@article {1969291,
	title = {Accounting Doctoral Program Demographics},
	journal = {Advances in Accounting Education: Teaching and Curriculum Innovations},
	volume = {11},
	year = {2010},
	month = {2010},
	pages = {101-128},
	abstract = {Accounting doctoral programs are often evaluated and ranked based on various measures of publishing productivity, both of graduates and of faculty.  While publishing is very important in academia, the choice to attend a PhD program is complex. In addition, the variables that can give insight into a PhD program and its graduates are far more diverse than simply the research productivity of a program{\textquoteright}s faculty and graduates.	The purpose of this investigation is to describe and analyze U.S. doctoral accounting programs using a variety of demographic data about the programs and their most recent graduates. This includes addressing these broad research questions: What are the demographic characteristics of the graduates of each program, including gender, and minority status?  What are the demographics descriptors of these graduates{\textquoteright} current employment situations? 
},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Baldwin,Amelia A and Brown,Carol and Trinkle,Brad S}
}
@article {1984336,
	title = {Accounting Doctoral Program Demographics},
	journal = {Advances in Accounting Education: Teaching and Curriculum Innovations},
	volume = {11},
	year = {2010},
	month = {2010},
	pages = {101-128},
	abstract = {Accounting doctoral programs are often evaluated and ranked based on various measures of publishing productivity, both of graduates and of faculty.  While publishing is very important in academia, the choice to attend a PhD program is complex. In addition, the variables that can give insight into a PhD program and its graduates are far more diverse than simply the research productivity of a program{\textquoteright}s faculty and graduates.	The purpose of this investigation is to describe and analyze U.S. doctoral accounting programs using a variety of demographic data about the programs and their most recent graduates. This includes addressing these broad research questions: What are the demographic characteristics of the graduates of each program, including gender, and minority status?  What are the demographics descriptors of these graduates{\textquoteright} current employment situations? 
},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Baldwin,Amelia A and Brown,Carol and Trinkle,Brad S}
}
@article {1976611,
	title = {Accounting Doctoral Program Demographics},
	year = {2009},
	month = {2009},
	address = {New York, NY},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Baldwin,Amelia A and Trinkle,Brad S}
}
@article {1976616,
	title = {Accounting Doctoral Program Demographics},
	year = {2008},
	month = {2008},
	address = {New Orleans, LA USA},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Baldwin,Amelia A and Brown,Carol and Trinkle,Brad S}
}
@article {1976626,
	title = {Minority PhDs in Accounting: Distribution and Trends},
	year = {2008},
	month = {2008},
	address = {Anaheim, CA USA},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Baldwin,Amelia A and Trinkle,Brad S}
}
@article {1976631,
	title = {PhDs in Accounting: Gender Distribution and Trends},
	year = {2008},
	month = {2008},
	address = {Anaheim, CA USA},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Trinkle,Brad S and Baldwin,Amelia A}
}
@article {1969306,
	title = {Opportunities for AI Development in the Accounting Domain: The Case for Auditing},
	journal = {Intelligent Systems in Accounting, Finance and Management},
	volume = {14},
	year = {2006},
	month = {2006},
	pages = {77-86},
	address = {Chichester, West Sussex/John Wiley \& Sons Ltd.},
	abstract = {This paper reviews the nature of accounting and auditing problems and the need for application of Artificial Intelligence (AI) technologies to the discipline.  The discussion includes current accounting issues for which new AI development should be fruitful particularly auditing and assurance.},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	url = {http://www3.interscience.wiley.com/cgi-bin/jhome/5697?CRETRY=1\&SRETRY=0},
	author = {Baldwin,Amelia A and Brown,Carol and Trinkle,Brad S}
}
@article {1976661,
	title = {Artificial Intelligence in Accounting: The Case for Auditing},
	year = {2005},
	month = {2005},
	address = {Cambridge, UK},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Baldwin,Amelia A and Trinkle,Brad S}
}