Doctoral Research in Business Analytics in Information Systems

Reference:
ERIM PhD RSM 2018 LIS BIM

Abstract

Researchers in the field of information systems combine information management and data analytics in order to generate new scientific knowledge. The Business Information Management (BIM) section in the Department of Technology of Operation Management at Rotterdam School of Management (Erasmus University) is seeking a highly motivated PhD student who desires to pursue an academic research career in this field.
Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil or Research Master in econometrics, statistics, or microeconomics, and who have proficiency with R, SQL, python, or other data-oriented programming languages.
The PhD student will gain the training and experience necessary to conduct independent research through course work and seminars in IS, economics and quantitative marketing; workshops and research seminars; and through applied and theoretical research conducted in concert with the BIM faculty. The PhD thesis will be defined by the student with input from the supervisory group, and thus requires creativity, self-direction, and a passion for scientific inquiry.

Keywords

Business Analytics, Information Strategy, Digital Innovation, Social Media, Mobile Commerce, Economics of IS, Digital Platform

Topic

You will develop your research topic together with the advisors.
The PhD will be completed under the supervision of Prof. Ting Li (http://www.rsm.nl/people/ting-li/). Ting Li is the Professor of Digital Business and an expert in digital strategy, ecommerce, social media analytics, mobile marketing, business analytics, and pricing and revenue management. The supervisory team also includes Prof. Eric van Heck (http://www.rsm.nl/people/eric-van-heck/). Eric van Heck is the Professor in Information Management and Markets and an expert in digital market and enterprise architecture, big data and analytics, digital work, and energy markets.  
As a PhD student, you will conduct research within the domains of information strategy, digital commerce, social media analytics, mobile analytics, digital platforms; or related topics. Your topic will be of your own choosing, but should leverage the expertise of the supervisory team.
Additionally, as a PhD student, you have the opportunity to collaborate with other BIM faculty in the department. This group works on a wide-range of interesting topics, including digital marketing (Dr. Dimitrios Tsekouras), social networks (Dr. Rodrigo Belo), digital platforms (Dr. Mark Boons), digital piracy (Dr. Zike Cao), business networks (Dr. Otto Koppius). You will also be able to take advantage of our strong industry ties, institutional databases, and software development support, to gain access to data sets and/or conduct field experiments.
To strengthen your international profile and complement your time at RSM, you will have the chance to go abroad for a research visit at a top North American University (3 to 6 months; past destinations include MIT, Maryland, Minnesota, and CMU).
Organization
The Rotterdam School of Management (RSM) is the dynamic business school of the Erasmus University. It is ranked as a top business school within and outside of Europe due to its members´ research productivity and sophisticated study programs. The BIM section at RSM is recognized worldwide and is multi- and interdisciplinary, publishing their research in top IS and management journals. This makes the BIM section a lively, creative, and intellectually stimulating place to conduct research. For further information about the Rotterdam School of Management, you can visit www.rsm.nl; for information concerning the department, see www.rsm.nl/research/departments/technology-and-operations-management/; for more information about the research institute and further information about the PhD program, please visit www.erim.eur.nl.
Tasks
The PhD student will work in close collaboration with the supervisor and other faculty on tasks that include:
•    Identify a consequential phenomenon that is relevant to managers or policy makers, and which has not been fully addressed in prior research
•    Obtain data, primary or secondary, that are needed to better understand the phenomenon
•    Use the scientific literature to understand and explicate the theoretical foundations of the phenomenon
•    Identify the fundamental variables and relationships that are most important to the phenomenon of interest, and formalize these mathematically while relating them to data
•    Identify the main assumptions that need to be made in order to solve or estimate the model, and understand their implications
•    Develop the computer code necessary to extract research results from data
•    Present research findings at national and international conferences
•    Document findings for publication in leading scientific journals, and ultimately, your PhD thesis

Approach

The PhD student will gain the training and experience necessary to conduct independent research through course work and seminars in information systems, economics and quantitative marketing; workshops and research seminars; and through applied and theoretical research conducted in concert with the supervisory team and other BIM faculty. The PhD thesis will be defined by the student with input from the supervisory team, and thus requires creativity, self-direction, and a passion for scientific inquiry.
Course work. The PhD student should already have extensive training in econometrics, statistics, or microeconomics. The student will build on this base of knowledge by taking courses offered by the Tinbergen Institute (http://www.tinbergen.nl/), ERIM (https://www.erim.eur.nl/), and other institutes. Note that it may be necessary to travel to nearby cities (Amsterdam, Tilburg) for these courses. Core coursework relevant to economics of information systems and business analytics in information systems includes, but is not limited to, core microeconomics (individual choice, aggregate supply and demand, equilibrium), game theory, probability, Bayesian modeling, core econometrics (endogenous variables, choice modeling).
Research seminars. Bi-weekly ERIM BIM research seminars (www.erim.eur.nl/research/events/research-seminars) bring leading experts to campus every fortnight to share their knowledge and insights on breakthrough research that is emerging in other top schools around the world. Exposure to such network helps PhD students to jump-start their careers by providing in-depth view of mainstream research movements in IS, key methodological concerns and priorities, and emerging views among researchers and journal editors.
Research environment. BIM PhD students at RSM have in our interdisciplinary doctoral program an unparalleled source of training for doing breakthrough research in Information Systems. In addition to strong technical training in empirical modeling, students are equipped with a deep appreciation and understanding of the behavioral mechanisms and processes that influence decision making via interactions with faculty studying topics related to individual decision making in experimental paradigms. Although the PhD student will work primarily with field data, our PhD students also have access to the Erasmus Behavioral Lab, which provides all the necessary facilities to conduct world-class research on consumer behavior (cubicles, group labs, video-labs, eye tracking, EEG).

Expected output

You will generate research that can be published in top-tier peer-review information systems and management journals, such as Management Science, MIS Quarterly, Information Systems Research, and Decision Support Systems. The research group at RSM has a strong publication record in these journals. The final results of the Ph.D. project are published in a Ph.D. dissertation; most BIM PhD dissertations at RSM find their way through one of these top journals.

Cooperation

To strengthen your international profile and complement your time at RSM, you will have the chance – and be encouraged – to go abroad for a research visit at a top North American University either as part of our existing network or as part of your efforts to build your own research network as you become a fully independent and productive scholar. We will provide funding for a 3- to 6- months stay.

PhD candidate profile

•    Energy and enthusiasm for quantitative analysis, data, programming, and science
•    MSc or MPhil in Econometrics, Statistics, Computer Science, Economics or a related discipline
•    Experience developing and estimating econometric or statistical models in R, STAN, SAS, Stata, Python, etc.
•    Experience conducting and completing a research project
•    Programming skills (e.g. R, Python, C++), and in particular, prior exposure to or experience with scraping           structured content structured web content (HTML, XPATH, CSS, etc.) from web sites
•    Openness, intellectual curiosity, eagerness to learn, and a willingness to be proved wrong
•    Ambition to work towards an academic career as a world-class researcher and instructor
•    Willingness and motivation to formulate your own research projects and carry those through to the end              (i.e.,publication in a top journal)
•    Eagerness to ask and answer novel questions
•    Experience in writing scientific papers


Application process
Interested candidates are invited to visit the ERIM PhD in Management website (http://www.erim.eur.nl/doctoral-programme/) for information about application procedures and criteria. The application deadline is January 29, 2018.
If you have any questions about the formal admission requirements, please contact the ERIM doctoral office: phd@erim.eur.nl.

Contact information

For academic questions only. For procedural questions, contact the Doctoral Office.

Deadline

Monday, 15 January 2018

Supervisory Team

Eric van Heck
Professor of Information Management and Markets
  • Promotor
Ting Li
Endowed Professor of Digital Business
  • Daily Supervisor