[AISWorld] Ph.D. Program in Business Administration - Stevens Institute of Technology, School of Business

Aron Lindberg alindber at stevens.edu
Tue Dec 1 15:07:48 EST 2015


Ph.D. Program in Business Administration
Stevens Institute of Technology, School of Business

Stevens Institute of Technology’s Ph.D. program in Business Administration seeks highly motivated students who are passionate in their desire to seek answers to complex questions surrounding business and technology. The doctoral program at the School of Business is accredited by AACSB and offers a Ph.D. degree in Business Administration with three broad areas of emphasis: (1) Information systems, (2) Entrepreneurship and Innovation (3) Decision Science and Analytics. The program’s primary goal is to prepare its graduates for successful academic or research-oriented careers. Students work closely with faculty who are conducting research in a range of research topics. Currently we are seeking applicants interested in working on the research topics below.

Research Area 1: Information Systems
1. Digital Innovation (Prof. Aron Lindberg, alindber at stevens.edu<mailto:alindber at stevens.edu>)
2. Open Innovation in Remix Communities (Prof. Jeffrey V. Nickerson, jnickerson at stevens.edu<mailto:jnickerson at stevens.edu>)
3. Value implications of non-structural financial information (Prof. Nan Hu, nhu4 at stevens.edu<mailto:nhu4 at stevens.edu>)
4. Social media and its impact on business (Prof. Feng Mai, feng.mai at stevens.edu<mailto:feng.mai at stevens.edu>)

Research Area 2: Innovation & Entrepreneurship
5. Nature and selection of business opportunities (Profs. Tim Koeller, tkoeller at stevens.edu<mailto:tkoeller at stevens.edu> and Thomas Lechler, tlechler at stevens.edu<mailto:tlechler at stevens.edu>)
6. The role of the lean startup framework for large enterprises (Prof. Peter Koen, pkoen at stevens.edu<mailto:pkoen at stevens.edu>)
7. Innovation performance of exceptional new product development teams (Prof. Gary S. Lynn, glynn at stevens.edu<mailto:glynn at stevens.edu>)
8. Innovation and growth of entrepreneurial companies (Prof. Vartuhi Tonoyan, vtonoian at stevens.edu<mailto:vtonoian at stevens.edu>)

Research Area 3: Decision Science and Analytics
9. Quantitative analysis of management decisions (Prof. Tal Ben-Zvi, tbenzvi at stevens.edu<mailto:tbenzvi at stevens.edu>)
10. Forecasting of financial time series with machine learning methods (Prof. Germán G. Creamer, gcreamer at stevens.edu<mailto:gcreamer at stevens.edu>)
11. Incentives for innovation in agriculture and renewable energy (Prof. Hamed Ghoddusi, hghoddus at stevens.edu<mailto:hghoddus at stevens.edu>)
12. Testing the limits of big data analytics (Prof. Theodoros Lappas, tlappas at stevens.edu<mailto:tlappas at stevens.edu>)
13. Technology enabled sensory marketing (Prof. Adriana Madzharov, amadzhar at stevens.edu<mailto:amadzhar at stevens.edu>)
14. Institutional Trading around the world (Prof. Ying Wu, ywu4 at stevens.edu<mailto:ywu4 at stevens.edu>)

Eligible candidates must hold a graduate degree (MSc, MBA), and must apply by Jan. 31<http://airmail.calendar/2016-01-31%2012:00:00%20EST>, 2016, at the following address: http://www.stevens.edu/graduate/apply
<http:/><http://www.stevens.edu/graduate/apply>

For more information about the research topics listed above, please visit: http://www.stevens.edu/business/academics/doctoral-programs/current-research

Alternatively, please directly contact the faculty member indicated next to the topic of interest.

All of our students are fully supported by teaching and research assistantships that include competitive stipends, tuition, and health benefits. Student study plans are tailored to the individual needs of the student that will lead to successful research. More information about our doctoral program is available online at www.stevens.edu/business/academics/doctoral-programs<http://www.stevens.edu/business/academics/doctoral-programs>.

Please contact us at businessphd at stevens.edu<mailto:businessphd at stevens.edu>, or call 201.216.5047<tel://201.216.5047> with specific questions.



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