Julia Yuzhu Li

faculty

Yuzhu Li, PhD

Professor

Decision & Information Sciences

Contact

508-910-9502

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Charlton College of Business 203

Education

2008University of Central FloridaPhD in Business Administration
2002Washington State UniversityMaster of Technology Management
1999Nankai University

Teaching

  • Information Systems
  • Project Management
  • Customer Analytics
  • Business Process Integration
  • Agile Development

Teaching

Courses

Analytic component of Business Intelligence, especially real world deployment of BI. Course study includes SAP's ERP application including reporting, monitoring, querying, dashboarding, in-memory analytics, Big Data, and predictive analytics. In addition, the Business Intelligence Lifecycle and Architecture will be introduced through the BI Development Phases and an Introduction to Data Warehousing.

Theories and technological applications in customer relationship management. This course highlights the strategic and tactical aspects of customer management and stresses customer value for marketing decisions. Students will develop an understanding of effective CRM strategies and implementations, customer analytics, and data mining through a series of discussions, cases, projects, and exams. Students will obtain hands-on experience in sales, marketing, and service management using current CRM applications. 

Theories and technological applications in customer relationship management. This course highlights the strategic and tactical aspects of customer management and stresses customer value for marketing decisions. Students will develop an understanding of effective CRM strategies and implementations, customer analytics, and data mining through a series of discussions, cases, projects, and exams. Students will obtain hands-on experience in sales, marketing, and service management using current CRM applications. 

Fundamental knowledge of business analytics & information visualization combined with extensive opportunities for developing hands-on skills for applying business analytics to managerial decision making. Topics include the major categories of business analytics - descriptive, prescriptive, & predictive analytics. Students will gain experience in designing & evaluating information visualizations, especially dashboards, storytelling & other forms of visual presentation.

Fundamental knowledge of business analytics & information visualization combined with extensive opportunities for developing hands-on skills for applying business analytics to managerial decision making. Topics include the major categories of business analytics - descriptive, prescriptive, & predictive analytics. Students will gain experience in designing & evaluating information visualizations, especially dashboards, storytelling & other forms of visual presentation.

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Terms and hours to be arranged.

Project selection, financial and non-financial methodologies, and computerized project management tools for the evaluation and selection of a project. The roles of project managers in planning, scheduling, and controlling of the projects, including determination of appropriate project teams, resource allocation, budgeting and cost estimation are among topics in this course.

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Terms and hours to be arranged.

Teaching

Online and Continuing Education Courses

Managing projects from an organizational perspective. Introducing project management with an emphasis in Technology. Consistent with the Project Management Body of Knowledge guide, the major topics include aligning the projects with organizational strategies, managing project management process groups, and building project manager's competence. Technological tools of managing projects will be introduced.

Analytic component of Business Intelligence, especially real world deployment of BI. Course study includes SAP's ERP application including reporting, monitoring, querying, dashboarding, in-memory analytics, Big Data, and predictive analytics. In addition, the Business Intelligence Lifecycle and Architecture will be introduced through the BI Development Phases and an Introduction to Data Warehousing.

Project selection, financial and non-financial methodologies, and computerized project management tools for the evaluation and selection of a project. The roles of project managers in planning, scheduling, and controlling of the projects, including determination of appropriate project teams, resource allocation, budgeting and cost estimation are among topics in this course.

Theories and technological applications in customer relationship management. This course highlights the strategic and tactical aspects of customer management and stresses customer value for marketing decisions. Students will develop an understanding of effective CRM strategies and implementations, customer analytics, and data mining through a series of discussions, cases, projects, and exams. Students will obtain hands-on experience in sales, marketing, and service management using current CRM applications. 
Register for this course.

Managing projects from an organizational perspective. Introducing project management with an emphasis in Technology. Consistent with the Project Management Body of Knowledge guide, the major topics include aligning the projects with organizational strategies, managing project management process groups, and building project manager's competence. Technological tools of managing projects will be introduced.
Register for this course.

Fundamental knowledge of business analytics & information visualization combined with extensive opportunities for developing hands-on skills for applying business analytics to managerial decision making. Topics include the major categories of business analytics - descriptive, prescriptive, & predictive analytics. Students will gain experience in designing & evaluating information visualizations, especially dashboards, storytelling & other forms of visual presentation.
Register for this course.

Business intelligence (BI) and knowledge management (KM) issues facing technology management today and information technology needed to solve managerial problems using BI and KM. Concepts of BI and KM, processes of BI and KM, and the integration of BI and KM are discussed.
Register for this course.

Project selection, financial and non-financial methodologies, and computerized project management tools for the evaluation and selection of a project. The roles of project managers in planning, scheduling, and controlling of the projects, including determination of appropriate project teams, resource allocation, budgeting and cost estimation are among topics in this course.
Register for this course.

Analytic component of Business Intelligence, especially real world deployment of BI. Course study includes SAP's ERP application including reporting, monitoring, querying, dashboarding, in-memory analytics, Big Data, and predictive analytics. In addition, the Business Intelligence Lifecycle and Architecture will be introduced through the BI Development Phases and an Introduction to Data Warehousing.
Register for this course.

Managing projects from an organizational perspective. Introducing project management with an emphasis in healthcare. Consistent with the Project Management Body of Knowledge guide, the major topics include aligning the projects with organizational strategies, managing project management process groups, and building project manager's competence. Technological tools of managing projects will be introduced.
Register for this course.

Research

Research activities

  • Treasurer of New England Association of Information Systems Chapter
  • Editorial Review Board Member of Project Management Journal
  • Associate Editor of Nankai Business Review International
  • Associate Track Editor for IS Design, Development, and Project Management Track at International Conferences on Information Systems (ICIS) 2023
  • Mini-track co-chair, IT Adoption & Diffusion Models in DSR of 2023 AMCIS Track Adoption and Diffusion of Information Technology

Research

Research interests

  • Digital Transformation
  • Emerging Technologies (e.g. blockchain, no-code/low-code development, AI)
  • Information Systems Development (ISD)
  • Project Management
  • E-commerce

Select publications

Dr. Yuzhu (Julia) Li is a professor at Department of Decision and Information Sciences, University of Massachusetts Dartmouth. Her research interests center around behavioral project and program management, innovative technologies, and digital learning. Her work has appeared in journals, such as Information and Management, International Journal of Project Management, Industrial Management & Data Systems, Information Technology & People, and Journal of Systems and Software, and others.