@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 {1976601,
	title = {Accounting, Diversity, and the AAA Diversity Section},
	year = {2009},
	month = {2009},
	address = {San Antonio, TX},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Baldwin,Amelia A}
}
@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 {1976621,
	title = {An Analysis of the Accounting Doctoral Industry: Observations and Unanswered Questions},
	year = {2008},
	month = {2008},
	address = {New Orleans, LA USA},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Baldwin,Amelia A}
}
@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}
}
@article {1969316,
	title = {Artificial Neural Networks in Accounting and Finance: Modeling Issues},
	journal = {International Journal of Intelligent Systems in Accounting Finance and Management},
	volume = {9},
	year = {2000},
	month = {2000},
	pages = {119-144},
	abstract = {This article reviews the literature on artificial neural networks (ANNs) applied to accounting and finance problems and summarizes the {\textquoteright}suggestions{\textquoteright} from this literature. The first section reviews the basic foundation of ANNs to provide a common basis for further elaboration and suggests criteria that should be used to determine whether the use of an ANN is appropriate. The second section of the paper discusses development of ANN models including: selection of the learning algorithm, choice of the error and transfer functions, specification of the architecture, preparation of the data to match the architecture, and training of the network The final section presents some general guidelines and a brief summary of research progress and open research questions. Copyright {\textcopyright} 2000 John Wiley \& Sons, Ltd.},
	keywords = {Accounting, BIS, Dean{\textquoteright}s Office},
	author = {Coakley,James and Brown,Carol}
}
@article {1969356,
	title = {AI on the WWW: Supply and Demand Agents},
	journal = {IEEE Expert},
	volume = {10},
	year = {1995},
	month = {1995},
	pages = {50-55},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Gasser,Les and O{\textquoteright}Leary,Daniel E. and Sangster,Alan}
}
@article {1969371,
	title = {Applying Case-Based Reasoning to the Accounting Domain},
	journal = {, International Journal of Intelligent Systems in Accounting Finance and Management},
	volume = {3},
	year = {1994},
	month = {1994},
	pages = {205-221},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Gupta,Uma}
}
@article {1969391,
	title = {Artificial Neural Networks Applied to Ratio Analysis in the Analytical Review Process},
	journal = {International Journal of Intelligent Systems in Accounting, Finance and Management},
	volume = {2},
	year = {1993},
	month = {1993},
	pages = {19-39},
	keywords = {Accounting, BIS, Dean{\textquoteright}s Office},
	author = {Coakley,James and Brown,Carol}
}
@article {1969401,
	title = {Analysis of Accounting Expert Systems Citations: An Alternative Accounting Classification Scheme},
	journal = {International Journal of Intelligent Systems in Accounting, Finance and Management},
	volume = {1},
	year = {1992},
	month = {1992},
	pages = {221-231},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol}
}
@article {1969491,
	title = {Accounting Expert Systems: A Comprehensive, Annotated Bibliography},
	journal = {Expert Systems Review for Business and Accounting},
	volume = {1},
	year = {1989},
	month = {1989},
	pages = {23-129},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol}
}
@article {1969496,
	title = {AI Journals, Magazines, and Newsletters},
	journal = {PC AI},
	volume = {3},
	year = {1989},
	month = {1989},
	pages = {16-18},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol}
}
@article {1969486,
	title = {Applications of Expert Systems in Insurance Regulation},
	journal = {The Journal of Insurance Regulation},
	volume = {8},
	year = {1989},
	month = {1989},
	pages = {22-35},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Nielson,Norma L. and Brown,Carol}
}
@article {1969501,
	title = {Artificial Intelligence: Application in Taxation},
	journal = {Expert Systems Review for Business and Accounting},
	volume = {1},
	year = {1988},
	month = {1988},
	pages = {3-10},
	keywords = {Accounting, Dean{\textquoteright}s Office},
	author = {Brown,Carol and Black,Robert and Buehler,Steve and Rogers,Ted}
}
