Decision, Operations & Information Technologies

Short Descriptions of Current DO&IT Research Projects

Faculty Significant Projects (high impact and current relevance)
Hank Lucas

Taught a MOOC on Surviving Disruptive Technologies on Coursera 3 times

Helped launch the Smith School Online MBA Program

Chair of Blended and Online Learning Advisory Council

Zhi-Long Chen Working on several decision support tools for Shanghai, China based Baosteel, the third largest steel company in the world, to improve their production and logistics operations. This project involves a number of researchers in China, UK, and US. Several research papers are being revised or completed currently
Bruce Golden

Presented the Keynote Lecture at the Serbian Operations Research Society

In a forthcoming book by Corberán and Laporte entitled Arc Routing: Problems, Methods, and Applications, a handful of recent legends of arc routing (the routing of vehicles over a
street network) are mentioned and their photos are included. Larry Bodin and Bruce Golden (both from the Smith School) are two of them

Joseph Bailey Edison Scholar at the USPTO (http://www.uspto.gov/blog/index.jsp#expanded_2014_edison_scholars_program)
Zeinab Karake Working on a new book on Cyber Security Policies ans Strategies in Developing and Emerging Economies
Gordon Gao Examining the role of empowered patients in managing their chronic disease and improving quality transparency
Marget Bjarnadottir

Data driven examination of new health care payment models

Core faculty in the new Online MBA Program

Katherine Stewart MSIS: degree approval and STEM classification, growth to 90+ students, implementation of new curriculum, integration of SalesForce
Sunil Mithas New Book on the theme of innovation and transformation: Mithas, S. Dancing Elephants and Leaping Jaguars: How to Excel, Innovate, and Transform Your Organization the Tata Way Finerplanet, North Potomac, 2014

Research Impact

Faculty Reasearch Recognition (e.g., awards, media mentions, fellowships, etc)
Raghu Raghavan Top 15% instructor Smith School of Business
Joseph Bailey Top 15% instructor
Tunca Tunay

Management Science Best Information Systems Paper Award Finalist, 2014 (selected for best IS paper
published in Management Science in the past three years), "Who should be Responsible for Software
Security? A Comparative Analysis of Liability Policies in Network Environments",
2011, Management Science, 57 (5), 934-959. (with Terrence August)

“Digital Piracy: Fighting Fire with Fire”, Robert H. Smith School Alumni Magazine,
Fall 2014

Having it all: A Buyer's Guide to low cost, high quality. Forthcoming in Research @Smith, based on: Tunay I. Tunca, D.J. Wu and Fang Vivian Zhong, An
Empirical Analysis of Price, Quality, and Incumbency in Procurement Auctions, 2014, Manufacturing & Service Operations Management, 16 (3), 346-364.

Krowe Excellence in Teaching Award (2014)

Top 15% Teaching Award

Zeinab Karake Interviewd by MBC TV on the topic of Cyber Security
Gordon Gao

Management Science Meritorious Service Award

Media coverage: US News and World Report, Philadelphia Inquirer, WebMD, National Public Radio, Yahoo Health, the Wasington Post

Sean Barnes Honorable Mention (2nd Place): Decision Sciences Institute Elwood S. Buffa Dissertation Competition
Peng Huang Management Science Meritorious Service Award
Ilya Ryzhov Finalist, INFORMS Junior Faculty Forum best paper competition
Margret Bjarnadottir

Smith School of Business top 15% teaching award

Second place, 2013 POMS College of healthcare Operations Management Best Paper Award.

Shawn Mankad

Reuters, Chicago Tribune; Academic devise formula to gauge how well U.S. regulators listen, Jan 15, 2014

The Wall Street Journal; Do Regulators Listen to Public? Study Says Yes, Mar 7, 2014

Sunil Mithas

CIONET European Research Paper of the Year 2013 Award: Mithas, S., Tafti, A.R., Bardhan, I.R., and Goh, J.M. "Information Technology and Firm Profitability: Mechanisms and Empirical Evidence," MIS Quarterly (36:1) 2012, pp. 205-224 [Winner of the CIONET European Research Paper of the Year 2013 Award given by CIONET, an organization of about 4000 CIOs in Europe]

Baldrige Performance Excellence Program (National Institute of Standards and Technology) "'Making an Elephant Dance': How the Baldrige Criteria Helped Transform a Global Conglomerate (5 Sept 2014), available at http://www.nist.gov/baldrige/tata.cfm," 2014

Brown, M.G. "How to Detect Organizational Cancer and Promote Business Excellence, http://www.industryweek.com/detect-organizational-cancer," in: Industry Week (18 Sept 2014), 2014

PhD Course Descriptions (OM/MS)

Operations Management / Management Science (OM/MS)

PhD students in OM/MS are required to take at least 14 courses, as outlined in the requirements. Below is a list of courses offered by the DO&IT department in the OM/MS area: 

BMGT 830: Operations Research: Linear Programming
BMGT 831: Operations Research: Extension of Linear Programming and Network Analysis
BMGT 832: Operations Research: Optimization and Nonlinear Programming
BMGT 833: Operations Research: Integer Programming
BMGT 834: Operations Research: Probabilistic Models
BMGT 835: Simulation of Discrete-Event Systems
BMGT 882: Applied Multivariate Analysis I
BMGT 883: Applied Multivariate Analysis II
BMGT 898: Seminar in Operations Management


Courses

BMGT808I Information Systems Research
Offered every Fall semester
This is an introductory seminar in information systems research for doctoral students. Its objective is to introduce participants to some major streams of research in information systems and to help seminar participants understand the role of research in an academic community and the methods of social science research. Sample Syllabus [PDF]

BMGT808I Research Methods in Information Technology
Offered every Spring semester
The purpose of this seminar is to introduce students to the broad range of research methods used by Information Technology researchers. The course makes frequent use of guest lecturers to lead discussions on areas of their research expertise. An emphasis is placed on applying research methods in the development of each student's own individual research interests. For doctoral students with an Information Systems major the culminating project in this course serves as the basis for their first year summer project. Sample syllabus [DOC]

BMGT808L Technology Artifact in Information Systems Research
Offered in the Fall of odd-numbered years (e.g., 2003, 2005, 2007)
Sample Syllabus [PDF]

BMGT808 Current Topics in IS research
Survey of literature in selected research areas in information research. Topics change every semester.

BMGT 808 Research in Decision, Operations, & Information Technologies
One credit. The course includes attendance at a series of seminars on topics related to  research in Decision, Operations, & Information Technologies.

BMGT808D Strategic Management of Information Technology
Offered in the Spring of even-numbered years (e.g., 2004, 2006, 2008)
The goal of this seminar is to provide an understanding of the issues related to the adoption and use of information technologies in organizations, the leverage of value from information technologies, and the management of information technologies in organizations. Students will read and discuss various theories, conceptual issues, and empirical papers pertaining to research on these topics of inquiry.
Sample Syllabus [PDF]

BMGT808D Information Systems Economics
Offered in the Fall of even-numbered years (e.g., 2004, 2006, 2008)
This is a research-oriented doctoral seminar on IS Economics. Its primary objective is to familiarize seminar participants with the applications of microeconomic theories and modeling techniques to IS research problems. The seminar is also intended to motivate participants to explore the use of mathematical models to analyze a research question in their domain of interest. Seminar participants are expected to have adequate familiarity with calculus and simple optimization techniques.
Sample Syllabus [PDF]

BMGT808A E-Commerce and Supply Chain Management
Offered in the Spring of odd-numbered years (e.g., 2003, 2005, 2007)
Sample Syllabus [PDF]

BMGT808X Applied Regression
Offered every Fall semester
The main course objectives are 1. To learn about a wide variety of regression techniques; to understand when to use what technique; to understand the limitations of a particular technique; 2. To generate a basic understanding of the methodological principles underlying these regression techniques in order to become a critical user; 3. To learn the powerful statistical software R; and to implement these regression techniques using this software. Sample Syllabus [PDF]

BMGT882 Applied Multivariate Analysis I
Offered every Fall semester
Multivariate statistical methods and their use in empirical research. Topics include summarization and visualization of multivariate data, multivariate paired comparisons and repeated-measures designs, multivariate analysis of variance, discriminant analysis, and canonical correlation. An important component of the course is analysis of data using contemporary software. Each student will complete a project that applies at least two of the methods covered in the course to a data set of his/her choice.
Sample Syllabus [PDF]

BMGT883 Applied Multivariate Analysis II
Offered every Spring semester
A continuation of BMGT 882. Topics include generalized least squares, seemingly unrelated regressions, simultaneous-equations models, principal components, factor analysis, structural-equations models with latent variables (covariance structure analysis), and specification testing. Sample Syllabus [PDF]

BMGT 830 Operations Research: Linear Programming (3)
Prerequisites: MATH 240 or equivalent; or permission of department.
Concepts and applications of linear programming models, theoretical development of the simplex algorithm, and primal-dual problems and theory.

BMGT 831 Operations Research: Extension of Linear Programming and Network Analysis (3)
Prerequisite: BMGT 830 or equivalent; or permission of department.
Concepts and applications of network and graph theory in linear and combinatorial models with emphasis on computational algorithms.

BMGT 832 Operations Research: Optimization and Nonlinear Programming (3)
Prerequisites: {BMGT 830; and MATH 241; or equivalent}; or permission of department.
Theory and applications of algorithmic approaches to solving unconstrained and constrained non-linear optimization problems. The Kuhn Tucker conditions, Lagrangian and Duality Theory, types of convexity, and convergence criteria. Feasible direction procedures, penalty and barrier techniques, and cutting plane procedures.

BMGT 833 Operations Research: Integer Programming (3)
Prerequisites: {BMGT 830; and MATH 241 or equivalent}; or permission of department.
Theory, applications, and computational methods of integer optimization. Zero-one implicit enumeration, branch and bound methods, and cutting plane methods.

BMGT 834 Operations Research: Probabilistic Models (3)
Prerequisites: {MATH 241; and STAT 400 or equivalent} or permission of department. Theoretical foundations for the construction, optimization, and applications of probabilistic models. Queuing theory, inventory theory, Markov processes, renewal theory, and stochastic linear programming.

BMGT 835 Simulation of Discrete-Event Systems (3)
Prerequisites: Knowledge of Fortran, Basic, C, or Pascal; and BMGT 630 or equivalent. Simulation modeling and analysis of stochastic discrete-event systems such as manufacturing systems, inventory control systems, and computer/ communications networks.

BMGT 898 Seminar in Operations Management (3)
This seminar reviews recent research in operations management. Examples of topics include supply chain management, revenue management, operations strategy, production planning, new product development.

Operations Management/Management Science Major

OM/MS PhD Program Coordinator: Wedad Elmaghraby

Overview

The requirements for the PhD program in OM/MS can be divided into the following categories (details about each below):

  • Coursework: four courses in research methodology, 6 courses in the major, and 4 courses in a minor to be chosen by the student. 
  • Additional requirements:  Four one-credit seminars in research in DO&IT.. Further, students entering the program without an MBA or BS in business administration have an additional business breadth course requirement.
  • Qualifying exam: This exam is taken at the end of the first year in the program.
  • Comprehensive exam: This exam is taken at the end of the second year in the program.
  • Teaching: A funded student is required to TA for BMGT 332 (or similar course) once during the program, typically in his/her second year, and to teach one section of BMGT 332, typically in the third year.
  • Dissertation proposal defense: An oral defense of the dissertation proposal, with a significant portion of the dissertation (at least 40%) already completed.
  • Dissertation completion and defense.

Research Methodology Courses (4 courses)

Specific course numbers can change between semesters.  The most recent designation for each course is shown below:

  • BMGT 830
    Operations Research: Linear Programming (Fall 1st year)
  • BMGT 834
    Operations Research: Probabilistic Models (Fall 1st year)
  • BMGT 808G
    Doctoral Seminar: Applied Microeconomics, or equivalent (e.g., ECON 603) (Fall 1st year)
  • BMGT 808X
  • Doctoral Seminar: Applied Regression Analysis or equivalent (Spring 1st year)
    If a student chooses to take a course different than BMGT 808G, BMGT 808X or ECON 603, then the student needs approval from the PhD coordinator.  For more information about these and other courses, see department website.

Major Specification (6 courses)

There are two major concentrations: Operations Management (OM) and Management Science (MS). Courses are as follows:   

  • BMGT 808F: Seminar in Operations Management (Required; Spring 1st year)

Plus five additional courses.  The choice of courses is open; however, the student needs approval from the PhD coordinator when choosing a course sequence.     

Minor Specification (4 courses)

Four courses in an area. The choice of area is open; examples are shown below:

  • Logistics/Supply Chain Management
  • Management and Organization
  • Marketing
  • Finance
  • Information Systems
  • Statistics (courses outside of major area)
  • Management Science (courses outside of major area)
  • Applied Mathematics
  • Computer Science

Additional Requirements

  1. All students need to be enrolled, during their first and second years, in BMGT 8xx:  Research in Decision, Operations, & Information Technologies (1 credit).  
    This is a one-credit course, which basically requires attendance to the DO&IT research seminar series. The student will take this seminar every semester during his/her first two years in the program (total = 4 credits) 
  2. Business breadth courses: Students who enter the PhD program without an undergraduate (BSBA) or graduate degree (MBA, MS) in business administration are required to take two business breadth courses (2 or 3 credits each) at the MBA or doctoral level. Each one of these two courses should be in a different functional area than OM/MS: finance, accounting, management & organization, marketing, or information systems.  Example: Consider a student with a masters and undergraduate degrees in IE, and with a minor in marketing. Given the marketing minor, the student only needs to take one additional business breadth course (examples: MBA core Finance class, a doctoral seminar in organizational behavior, etc).  These courses can be taken anytime during the doctoral program. Additional questions about this requirement should be directed to the OM/MS PhD coordinator.

Qualifying Exam

This exam is taken during the summer of the first year (typically, last week of July), and comprises four 2-hour parts.  Parts 1, 2, and 3 will cover BMGT 830 (Linear Programming), BMGT 834 (Stochastic Processes), and BMGT 808F (Seminar in Operations Management), respectively.  The Part 4 subject area can be chosen by the student to cover the content of one other course taken by the student.  The course could be chosen from among the remaining required courses (Economics or Statistics) or could be a course taken by the student as part of his/her major concentration courses.  The precise format of each exam part will be determined by the faculty member designated to prepare that part, e.g., each part could be open or closed book.  However, questions are not expected to be a mere “repeat” of the final exam in the respective course, but rather can be more unstructured and attempt to test research potential.  If the student does not pass the first trial, the student shall be given an opportunity to repeat the exam in the winter (six months later).  Only two trials are allowed.  A student who fails the qualifying exam twice will not be allowed to proceed further in the Ph.D.  Program.

Comprehensive Exam

Prior to taking the exam, each student must designate a three-person examination committee comprised of DO&IT faculty.  The committee must be approved by the DO&IT PhD Coordinator by email. This exam is taken during the summer of the second year, at the time requested by the student and agreed upon by the committee.  The student has two choices:

The student can submit a research paper co-authored by the student and other faculty members (but not with another student).  The research paper is expected to be of such scope that it can be submitted to a refereed journal, i.e., it has to present an original contribution and it has to be complete, with introduction, literature review, analysis (model and/or data analysis) and conclusions.  Any faculty member(s) who are co-author(s) of the student are required to supply a statement to the PhD Coordinator indicating that the student did a significant portion of the intellectual work and writing of the paper.  The student needs to prepare and deliver a one-hour presentation of the paper to that student’s examination committee and the presentation will be open to the University Community.  During and after the presentation, the examination committee may question the student on the research paper and on topics in his/her major concentration area as they relate to the research paper.

The student is given three papers.  The set of three papers assigned to a student will be taken from that student’s major concentration area.  The student will be given two weeks to read the papers, and submit two deliverables:  a written document of at least 10 pages (12 pt. font, single spaced), explaining how the papers relate to each other, and offering suggestions for future research.  The student must also prepare and deliver a one-hour presentation on his/her conclusions to that student’s examination committee.  During and after the presentation, the examination committee may question the student on the assigned papers and on topics in his/her major concentration area as they relate to the papers.  The presentation will be open to all members of the University community.

Each student’s examination committee will provide informal feedback to the student immediately following the oral presentation part of the comprehensive exam.  However, a final grade will be given later after a meeting of the OM/MS PhD Comprehensive Examination Committee.  The OM/MS PhD Comprehensive Examination Committee will consist of the combination of the individual student examination committees together with the PhD Coordinator.  That committee will assign grades to the comprehensive exam.  It is anticipated that the merits of each student can be openly debated and that the meeting will also serve the purpose of providing guidance to those admitted students on how they should proceed in the program, e.g., they might be given guidance on research areas, possible thesis supervisors, etc.  Students will be allowed to take Part II only once and the decision on admission to candidacy will be final.  However, students will be allowed to petition to retake the comprehensive exam if they fail the exam.  Flexible MS degree options will be given to students who are not advanced after the qualifying or comprehensive exam.

Admission to Candidacy

  1. Completion of, and satisfactory grades in, all required courses in the Department:
    • BMGT 808F: Seminar in Operations Management
    • BMGT 830: Operations Research: Linear Programming
    • BMGT 834: Operations Research: Probabilistic Models
    • BMGT 808G: Doctoral Seminar: Applied Microeconomics, or equivalent
    • BMGT 808X: Doctoral Seminar: Applied Regression Analysis or equivalent
    • Plus seven electives in the major and/or minor, for a total of 12 courses. The remaining 2 courses (total = 14 courses required for BMGT PhD degree) can be taken in the student’s third year in the program, after advancing to candidacy.   
  2. A passing grade on the Department's Comprehensive Exam (summer of 2nd year)
  3. A passing grade on Qualifying Exam (summer of 1st year)

Information Systems Major

PhD students in IS are required to complete at least 46 credits of coursework, as outlined below. Students generally complete their major coursework within their first two years in the program. During the summer after the first year, students work on a summer research project. A paper based on that project is submitted and presented to the faculty during the Fall of the 2nd year. After completing all relevant coursework, students take a comprehensive exam at the beginning of the third year. Following successful completion of the comprehensive exam, students commence work on their dissertation research. The dissertation is an independent research project conducted by the student under supervision of a dissertation committee, assembled by the student. Research interests of the current faculty include technical, behavioral, organizational, and social issues related to information systems. Students may, in their dissertations, choose to pursue any of these avenues.

Required Courses in the Major (18 credits):

Specific course numbers may change between semesters. The most recent designation for each course is shown below.

BMGT 808I

Social and Behavioral Research in Information Systems

BMGT 808I

Research Methods in Information Technology

BMGT 808D

Strategic Management of Information Technology

BMGT 808D

Information Systems Economics

BMGT 808A

Current Topics in IS research (taken twice, in the Fall of 1st and 2nd years)

Research Methodology (12 credits):

BMGT 808G

Applied Microeconomics

BMGT 808X

Applied Regression

BMGT 882

Applied Multivariate Analysis I

BMGT 883

Applied Multivariate Analysis II

Students should consult with their advisor to determine other methods training needed for their research. Students may substitute courses on a case-by-case basis when approved by the IS PhD program director, in consultation with the student’s advisor.

DO&IT Seminar (4 credits):

BMGT 808X

Research in Decision, Operations, & Information Technologies (1 credit, taken 4 times)

Minor (12 credits):

4 courses in the minor, determined in consultation with the student’s advisor and the IS PhD program director.

Other Requirements:

Incoming students will attend MathCamp before the start of their first year. This requirement can be waived if the student demonstrates sufficient math skills.

Any student admitted without a sufficient technology background will be required to take at least two technology-related classes, generally BUDT 620 and one other MBA-level course. These courses will be determined in consultation with the IS PhD program director.

Admission to Candidacy:

To be admitted to candidacy students must successfully complete all coursework in the major (including methods courses and 4 credits of the DO&IT Seminar), the first year summer paper, and the comprehensive exam.

Recommended Schedule and Milestones for the Information Systems PhD

Year and Semester

Milestones

Year 1, Semester 1

Complete BMGT808I Information Systems Research
Complete BMGT808G Microeconomics
Complete either BMGT808L Technology Artifact in Information Systems Research (o) or BMGT808A E-Commerce and Supply Chain Management (e),
Work on research assistantship with faculty
Plan to extend research on seminar papers

Year 1, Semester 2

Complete BMGT808I Research Methods in Information Technology
Complete BMGT808X Applied Regression
Complete either BMGT808D Strategic Management of Information Technology (e) or BMGT808D Information Systems Economics (o)
Work on at least one publication for submission to a conference

Year 1, summer

Conduct independent research with faculty advisor and write paper for presentation in year 2

Year 2, Semester 1

Complete either BMGT808L Technology Artifact in Information Systems Research (o), or BMGT808D Information Systems Economics (e)
Complete BMGT882 Applied Multivariate Analysis I
Complete one course in the minor
Begin work on a paper for submission to a journal

Year 2, Semester 2

Complete either BMGT808D Strategic Management of Information Technology (e) or BMGT808D Information Systems Economics (o)
Complete BMGT883 Applied Multivariate Analysis II
Complete one course in the minor
Prepare to submit journal article by the end of summer

Year 2, summer

Prepare for comprehensive examinations
Develop preliminary ideas for a dissertation topic

Year 3, Semester 1

Complete one course in the minor
Conduct research for dissertation proposal
Begin work on second journal article
Teach one undergraduate course here or next semester

Year 3, Semester 2

Complete one course in the minor
Defend proposal

Year 3, summer

Conduct dissertation research
Submit second journal article

Year 4, Semester 1

Complete enough of dissertation to be able to interview at the International Conference on Information Systems (ICIS) in December

Year 4, Semester 2

Complete enough of dissertation to be able to give a job talk by January

Year 4, Summer

Finish and defend dissertation; prepare articles from dissertation

Contact

For academic issues, contact:
Dr. Katherine Stewart, Associate Professor of Information Systems
Phone: 301-405-0576
E-mail: kstewart@rhsmith.umd.edu

For admission issues, application status, or other questions, please email bphd@rhsmith.umd.edu or call 301-405-2214.

Information On Choosing a Doctoral Program

How should a potential applicant choose among the large number of PhD programs in information systems and related fields? You can find considerable information about doctoral programs on ISWorld.

At universities like Maryland, the PhD program concentrates on research, and it is important for you to be excited by the prospects of a career as a researcher when considering doctoral studies.

In evaluating schools, the first question is what kind of research does the IS faculty conduct? Are faculty members prominent in the field, are they currently involved in leading-edge research and are they publishing their results? You can learn a great deal from looking at faculty research pages on different schools' websites. (We are pleased that a recent editorial in MISQ (Sept. 2001) rated Maryland's information systems group as one of the top in the country.) Schools have different emphases in their programs, for example, one school may focus on looking at information systems from an economics perspective while another might focus on technology. Maryland has a diverse group of IS faculty with interests in managerial, economics and technical areas.

You also might want to consider the size of the IS faculty; a larger, more diverse faculty can support research in many different areas, giving you a wide choice in dissertation topics.

Location is another consideration, especially if you are interested in field research. A school in a major metropolitan area offers greater access to businesses and potential research sites.

A good way to learn more about a school is to send email to faculty members with questions about the school and their research. You can also gain an interesting perspective by sending email to doctoral students who are currently enrolled in the PhD program.

Professor Kate Stewart
IS Doctoral Coordinator

Smith Business Close-Up: Improving Digital Intelligence

Thursday, August 2, 2012, 7:30 p.m.; Sunday, August 5, 2012, 7:30 a.m.

Digital intelligence, the ability to understand and make use of the power of information technology to one’s advantage, is becoming a critical skill for survival and success in today’s economy. Information technology (IT) can make or break any type of organization – large or small. Most companies are just beginning to figure out how to integrate IT, and they’re hiring CEOs and top executives based on ability to navigate the digital future facing their industries.

Smith Experts Available to Comment on Latest Kodak Moves to Exit Bankruptcy

COLLEGE PARK, Md. – Faculty experts in the University of Maryland’s Robert H. Smith School of Business are available to discuss, and give historical perspective on, the recently announced Kodak-management changes and job cuts as the company maneuvers to emerge from bankruptcy protection.

The Smith School has an in-house facility for live or taped interviews via fiber-optic line for television or multimedia content.

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