Taiwan-EUR Scholarship: Research in Business Analytics in Information Systems

Updated: about 2 months ago
Deadline: 08 Dec 2022

Abstract

*Please note that this is a Taiwan-EUR Scholarship project. For more information on the scholarship programme, please visit the website of the Ministry of Education (MOE) of Taiwan (www.scholarship.moe.gov.tw/top100 ). Applications must be submitted to MOE and also to ERIM/RSM by 8 December; however, additional documents for ERIM/RSM can be submitted until 16 December. You are strongly encouraged to contact us as soon as possible if you are interested in applying (see Contact Information below).*

We live in a highly connected world filled with digital technologies, social media, mobile devices, Internet-of-Things, smart cities, and connected cars. The growth of information technologies has created new opportunities across different industries as companies innovate to meet changes in consumer demand, and has given rise to new challenges. In our Ph.D. program in Information Systems, you will be trained to conduct innovative research to address increasingly complex challenges facing digital society. Our faculty is working on a variety of projects in this area ranging from digital platforms, circular and digital businesses, energy digitalization and energy informatics, data markets, recommendation and personalization, social networks, online piracy and privacy, AI and ethics, and the role of AI in future businesses.

We are seeking highly motivated students with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.

Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil, or Research Master in economics, computer science, econometrics, statistics, or a related field. Successful candidates have proficiency with R, SQL, Python, or other programming languages.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through coursework in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.


Keywords

Artificial intelligence, business analytics, information strategy, circular and digital platforms, energy informatics, data markets, AI and ethics, and economics of information systems


Topic

The Ph.D. student will develop research topics in close collaboration with the advisors. The advisors consist of full professors (promotors) and associate/assistant professors (daily supervisors).

The promoters are Prof. Ting Li and Prof. Eric van Heck. Prof. Ting Li is a professor of digital business and focuses on studying the economic impacts of digitization on consumer behavior and firm strategy. She is an expert in digitization and platforms, personalization, e-commerce, social media analytics, mobile marketing, and pricing and revenue management. Prof. Eric van Heck is a professor in information management and markets and an expert in digital market and enterprise architecture, big data and analytics, digital work, and energy markets. 

Depending on the research topics, you will have the opportunity to collaborate with other BIM faculty. They are working on a wide range of interdisciplinary research topics, including energy digitalization and decarbonization (Dr. Yashar Ghiassi-Farrohfal), digital marketing and recommendation (Dr. Dimitrios Tsekouras), data markets (Dr. Sameer Mehta), social networks (Dr. Rodrigo Belo, Dr. Anna Priante, Dr. Olga Slivko), platform economy (Dr. Jovana Karanovic), sports analytics and algorithmic accountability (Dr. Otto Koppius), crowdfunding and digital platforms (Dr. Philipp Cornelius, Dr. Dainis Zegners), user-generated content (Dr. Dominik Gutt), and open science (Dr. Jeffrey Sweeny). For more information on BIM faculty and research topics, you can visit

https://www.rsm.nl/research/departments/technology-and-operations-management/business-information/ .

During the Ph.D., you will work in close collaboration with the advisors to:

·        Identify a consequential phenomenon that is relevant to managers or policymakers, 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 examine 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 methods 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 dissertation.

To conduct research, you will be able to take advantage of our strong industry ties, institutional databases, and software development support to gain access to large-scale data sets and have the opportunity to conduct real-world field experiments.

Organization

The BIM section of the Department of Technology & Operations Management at RSM is recognized worldwide and is multi- and interdisciplinary, publishing its research in top information systems and management journals. This makes the BIM section a lively, creative, and intellectually stimulating place to conduct research. The BIM section has a large, young, and highly international faculty. The 14 full-time research-active faculty members have been educated at renowned institutions in Europe, the USA, and Asia. We have strong research and teaching traditions and an international orientation both to the academic community and the business community.

BIM offers a high-profile MSc Business Information Management , one of Europe’s largest master's programmes in Information Systems with 250+ new students each year. The programme delivers in-depth knowledge from theoretical and practical perspectives. Furthermore, a Master of Business Analytics & Management program was launched in 2020.

Rotterdam School of Management, Erasmus University (RSM) is one of Europe’s top 10 business schools. RSM provides ground-breaking research and education furthering excellence in all aspects of management and is based in the international port city of Rotterdam – a vital nexus of business, logistics, and trade. RSM’s primary focus is on developing business leaders with international careers who can become a force for positive change by carrying their innovative mindset into a sustainable future. Our first-class range of bachelor's, master's, MBA, Ph.D., and executive programmes encourage them to become critical, creative, caring, and collaborative thinkers and doers.

Please visit our website for more information:

·      RSM: www.rsm.nl

·      Department of Technology & Operations Management: www.rsm.nl/research/departments/technology-and-operations-management

·      MSc Business Information Management: www.rsm.nl/bim

       Erasmus Research Institute and Management: www.erim.eur.nl


Approach

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through coursework in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will conduct applied and theoretical research under the supervision of our research faculty. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

Coursework. Core coursework is designed to build methodological skills, modelling competence, and substantive depth. The Ph.D. students will develop their knowledge and research skills by taking courses during the first and second years. The courses are offered by the Tinbergen Institute (http://www.tinbergen.nl ), ERIM (https://www.erim.eur.nl/ ), and/or other research institutes. It is relevant to the economics of information systems and business analytics in information systems, including, but not limited to microeconomics (individual choice, aggregate supply, and demand, equilibrium), econometrics (endogenous variables, choice modeling), statistics and probability, Bayesian modelling, machine learning, and deep learning.

Research seminars. We organize weekly BIM research seminars (www.erim.eur.nl/research/events/research-seminars ) that bring leading scholars to share their knowledge and insights on cutting-edge research that is emerging in other top schools around the world. Exposure to such networks helps you jump-start your career by providing an in-depth view of mainstream research in the field, key methodological concerns, and emerging views among scholars and journal editors.

Research environment. Our interdisciplinary Ph.D. program provides an unparalleled source of training for doing cutting-edge research in Information Systems. In addition to strong technical training in quantitative methods, students will also be 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 you are likely to work primarily with field data, you will 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).


Required profile

We seek candidates who are:

  • Passionate about understanding the impact of digital technologies on individuals, organizations, markets, system design, public policy, and society;
  • Enthusiasm for quantitative analysis, data, programming, and science;
  • Experience in conducting and completing a research project;
  • MSc or MPhil in Econometrics, Statistics, Computer Science, Economics or a related discipline;
  • Experience developing and estimating econometric or statistical models in R, SAS, Stata, and Python;
  • Programming skills, 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.

*Required by ERIM/RSM

The required entrance level is a Master's degree (MSc, MA, or MPhil) equivalent to a Dutch scientific university education Master's degree.

Below are the test scores required by ERIM/RSM:

- GMAT/GRE scores above the 85th percentile, not older than 5 years. Please note that GMAT/GRE cannot be waived under any circumstances.

- IELTS/TOEFL test scores, not older than 2 years (may be waived for candidates whose native language is English, or whose entire university education [Bachelor's and Master's] was taught in English):

  IELTS: minimum overall band score 7.5; no band score lower than 6.5

  Internet-based TOEFL: minimum total score 100, no sub-score lower than 23

  Paper-based TOEFL: minimum score 600

*Required by Ministry of Education (MOE, Taiwan)

Candidates also need to submit an application to the MOE and meet the requirements set by them. Please consult the following website for more information: www.scholarship.moe.gov.tw/top100


Expected output

Scholar publications. You will develop research papers that can be published in top-tier information systems and management journals, such as Management Science, MIS Quarterly, and Information Systems Research. BIM faculty at RSM has a strong publication record in these journals. The final results of the Ph.D. are also published in a Ph.D. dissertation. Most BIM Ph.D. students will be able to publish multiple papers in these top journals.

Placement record. In the past five years, our graduates have accepted faculty positions at top business schools all around the world, including MIT, Northwestern University, George Washington University, Copenhagen Business School, IE Business School, University of Amsterdam, and VU Amsterdam.


Cooperation

To strengthen your international profile, we strongly encourage our Ph.D. students to go abroad for a research visit during their third or fourth year at one of the top universities for 3 to 6 months. Past destinations include MIT, University of Maryland, University of Minnesota, Carnegie Mellon University, and University of California, Berkeley.


Literature references & data sources
  • Bughin, Jacques, Laura LaBerge, and Anette Mellbye, The Case for Digital Reinvention, McKinsey Quarterly, February 2017.
  • Porter, M. E. and J.E. Heppelmann, How Smart, Connected Products are Transforming Competition, Harvard Business Review, p. 65 - 88, November 2014.
  • Vidgen, R., Shaw, S., and Grant, D.B. (2017) “Management challenges in creating value from business analytics,” European Journal of Operational Research (261), pp. 626-639.
  • Rodrigo Belo and Ting Li. 2022. Social Referral Programs for Freemium Platforms. Management Science
  • Li, T., J. van Dalen & P.J. Rees (2018). More than just noise? Examining the Information Content of Stock Microblogs on Financial Markets. Journal of Information Technology.
  • Li, T., R.J. Kauffman, E. van Heck, P.H.M. Vervest & B.G.C. Dellaert (2014). Consumer Informedness and Firm Information Strategy. Information Systems Research, 25 (2), 345-363.
  • Woerner, S.L. and Wixom, B.H. (2015) “Big data: extending the business strategy toolbox,” Journal of Information Technology (30), pp. 60-62.
  • Berrone, P., Ricart, J.E., and Carrasco, C. (2016) “The Open Kimono: Toward a General Framework for Open Data Initiatives in Cities,” California Management Review (59:1), pp. 39-70.
  • Muñoz, P. and Cohen, B. (2016) “The Making of the Urban Entrepreneur,” California Management Review (59:1), pp. 71-91.
  • Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and Human Behavior in the Age of Information. Science, 347(6221), 509-514.
  • Goldfarb, A., & Tucker, C. E. (2011). Privacy Regulation and Online Advertising. Management Science, 57(1), 57-71.
  • Tucker, C. E. (2014). Social Networks, Personalized Advertising, and Privacy controls. Journal of Marketing Research, 51(5), 546-562.
  • Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence: What it Can – and Cannot – Do for Your Organization. Harvard Business Review, 7, 3-11.
  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2018). Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence. Economics of Artificial intelligence, NBER, Chicago University Press, 2018.
  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2018). A Simple Tool to Start Making Decisions with AI. HBR, 17 April 2018. 
  • Furman, J., & Seamans, R. (2018). AI and the Economy. In: Innovation Policy and the Economy, eds. Josh Lerner and Scott Stern, NBER, Chicago.
  • Tambe, P. (2014). Big data investment, skills, and firm value. Management Science, 60(6), 1452-1469.
  • Forman, C., Goldfarb, A., & Greenstein, S. (2012). The Internet and local wages: A puzzle. American Economic Review, 102(1), 556-75.
  • Belo, R., Ferreira, P., & Telang, R. (2016). Spillovers from wiring schools with broadband: the critical role of children. Management Science, 62(12), 3450-3471.
  • Belo, R., Ferreira, P., & Telang, R. (2013). Broadband in school: Impact on student performance. Management Science, 60(2), 265-282.

Contact Information

If you are interested in applying to this Taiwan-EUR scholarship project, please contact Dr Phoebe Mui . For more information on the scholarship programme, please consult the website of the Ministry of Education (MOE) of Taiwan .


Erasmus Research Institute of Management

ERIM is the research institute of management at Erasmus University Rotterdam, founded by Rotterdam School of Management, Erasmus University (RSM) and Erasmus School of Economics (ESE), both of which excel in their research and teaching programmes. The level and international character of their research and teaching programmes has put both schools at the forefront of academic excellence. They offer a diversified portfolio of accredited teaching and research programmes, ranging from pre-experience MSc to postgraduate Masters and executive development, and from fundamental research to applied research and business support, which are renowned throughout the world. RSM is one of the few schools worldwide that holds a triple accreditation from the AMBAs, EQUIS and the AASCB, and is positioned among the top European business schools. The scientific staff of both schools plays a major role in the schools’ interaction with the international business community.

ERIM distinguishes itself by the high-level and international character of its research and has repeatedly been ranked among top 3 research institutes in Europe. ERIM’s key aims are top-quality academic research with impact both on academia and managerial practice, and the advancement of international academic careers and high-level support for both research and doctoral education. For more information about ERIM please visit [link:https://www.erim.eur.nl].


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