Outstanding Dissertation Award
The SET Section periodically (usually annually) awards the SET Outstanding Dissertation Award. The award is to recognize outstanding dissertations in the fields of strategic and emerging technologies in the accounting discipline.
For the purposes of this award, Strategic and Emerging technologies include (among others):artificial intelligence (including cognitive computing, knowledge-based systems, neural networks, heuristic problem solving, expert systems, case-based reasoning, machine learning, natural language processing, intelligent databases, intelligent agents, and intelligent devices), information system security, image processing, communications technologies, wireless connectivity, the Internet of things, ERP systems, workflow technology, private networks, XBRL, XML, data mining, group technologies, continuous assurance services, big data, data analytics, text analytics, voice recognition, and interactive multimedia.
The winner of SET Outstanding Dissertation Award will be presented with a plaque at the Annual SET Section Business meeting, held at the American Accounting Association’s annual meeting.
An abstract of the winning dissertation will be published in the SET Newsletter and on the SET Section website.
An entry may be nominated either by the student who wrote the dissertation or by one or more members of their dissertation committee.
The entry cannot be simultaneously submitted for similar awards by other Sections of the AAA.
- Dissertation topic dealing with strategic or emerging technologies in accounting.
- Dissertation completed between January 1 and December 31 of the year preceding the award
- Letter signed by the dissertation chairperson stating that the dissertation was completed and accepted by the degree granting institution during the above period
- A nominating letter stating why the dissertation deserves special recognition
- An extended abstract of the dissertation (in PDF format). The extended abstract should focus on the aim, motivation, and significance of the research; and include a summary of the methodology, statistical analysis (as appropriate), results, limitations, and future research questions.
- The dissertation (in PDF format)
Call for Nominations for the 2017 Award
Please send your nomination (as an attachment to an email) by 31 MARCH 2017 to the Chair of the committee for this award:
University of Melbourne
Members of the Dissertation Award Committee:
- Georgia Smedley, University of Missouri - Kansas City
- Bachman Fulmer, Cal State Fullerton
- Vasundhara Chakraborty, Monmouth University