About Us

About Us


The DSO department is comprised of three groups: Information systems, Operations Management, and Statistics.


Research by the Information Systems (IS) group in the DSO department focuses on issues surrounding the digital transformation of organizations, teams, value chains, collaborative communities, and platform ecosystems, which can be grouped in several areas:


  • Digital innovation and platforms, digital business strategy in messy and real-time environments, understanding the behavior of digital platform ecosystems, understanding cutting-edge digital technologies and tech-enabled business models and design, and understanding the asymmetries, societal impacts, and dimensionalities of the digital divide in the sharing economy;
  • Open innovation, crowdsourcing, and online collaboration for innovations;
  • Large scale digital field experiments in platform contexts with big data, and mechanism design for e-commerce, social networks and omni-channel retail and services;
  • Emerging topics in the management of AI and other emerging digital technologies.


The faculty publish in the top research journals in information systems and management, and have won numerous awards for their work. The faculty include chaired professors and serve as editors and editorial board members of top journals in the area, and have been active in securing research grants from foundations in the US (such as the National Science Foundation) and  around the world, as well as grants from major tech and platform companies (such as Facebook and Adobe). Despite a smaller size, the group is highly ranked among scholars who publish in the top research journals in IS.


The IS group offers courses that provide the skills and foundations for actively  designing, managing, and evaluating digital transformation and digital innovation initiatives, as well as understanding digital strategies  and the design of business models for digital platform leadership. Included are foundational courses for integrating business analytics and digital technologies to meet business needs, as well as the technical and management skills to use big data ethically and strategically.  Most classes have hands-on practice and field-based projects in the US and internationally.


Operations management (OM) is the study of how organizations can effectively manage their resources to deliver high quality goods and services in a timely and cost-effective manner. The OM faculty’s research is focused on developing state-of-the art methodologies to solve important business problems, often using quantitative methodologies from stochastic analysis, optimization, game theory and econometrics. Application areas include healthcare operations, revenue management, supply chain management, sustainability, and service design.

Our faculty members have strong research reputations in these areas and publish regularly in the top journals in these fields, have received prestigious awards and grants, and serve as department editors or senior editors for the premier OM journals. The UT Dallas Business School Research Ranking ranks the Marshall School of Business 6th in research productivity during the period 2018 - 2021 among similar departments at business schools based upon publications in three major OM INFORMS journals (Management Science, Operations Research and Manufacturing and Services Operations Management).


The OM faculty offer a variety of electives on topics related to supply chain management, service management, decision models and project management. These courses not only equip the students with analytics and state-of-the-art techniques, but also teach them how to apply their knowledge to the real world. The OM faculty have won several teaching awards.


Research by the Statistics faculty emphasizes developing new tools to analyze effectively the vast amounts of data that have become central to many areas of business. This work involves a combination of methodology and applications. On the methodology side, our faculty are working at the frontiers of high-dimensional inference, machine learning, forecasting, causal inference, and functional data analysis. This research has broad applications in different areas of business, such as finance, marketing, data science, and health science, in which our faculty are directly involved, typically through collaborative ventures involving different areas within Marshall.


The faculty in our statistics group have received national and international recognition: the group includes recipients of awards such as Fellow of the American Statistical Association, Fellow of Institute of Mathematical Statistics,  Fellow of American Statistical Association, and the Royal Statistical Society Guy Medal in Bronze, to name a few. In addition, faculty members have received grants from institutions such as the National Science Foundation, Alfred P. Sloan Foundation, Simons Foundation and National Institutes of Health.


DSO Statistics group offers courses that cover some fundamental statistic concepts, along with electives on more current subjects such as data visualization, Python, machine learning, and artificial intelligence, among others.


The department maintains a highly supportive and collegial atmosphere that fosters close cooperation and coordination among the faculty to ensure the integration of the several specific disciplines represented by individual members of the group. This collaborative imperative guarantees the continued relevance and timeliness of our teaching and research programs. For example, our classes on Business Analytics are taught by both the IS and Statistics faculty. The department encourages research in the uses of statistics and information technology in the operations area, to provide better customer service, improve quality, and increase the productivity and flexibility of business processes, which is especially relevant in times of crises. Another example of research collaboration is studying the role of data and development of optimization algorithms in online marketplaces.