Faculty Directory

Contact Information

Office:
Washburn Shops, 219
Phone: +1-508-831-5573
Fax: +1-508-831-5720
dstrong@wpi.edu

Diane M Strong

WPI provides an environment that values both teaching and research, which is ideal for me. I enjoy teaching at WPI because students are interested in learning and willing to work hard. My teaching focuses on how business, healthcare, and nonprofit organizations can best use computing technologies, such as database systems, electronic health records systems, and mobile apps. Students in my classes learn to design computing applications that meet the needs of organizations. Students understand the value of learning these topics, and as a result, they work hard to learn the principles and how to apply them to real organizational problems.

I also enjoy working closely with student teams on their MQP and IQP projects, which I help them set up in sponsoring organizations. For example, one of my IQP teams developed a multilingual website for the Family Health Center of Worcester. One of my MQP teams developed a prototype dashboard for executives at The Hanover Group to help them monitor progress of computer application development projects. Another MQP team did a data analytics project for a healthcare organization that examined its physician-patient communication patterns on the patient portal. These projects involve students in finding solutions to current problems in organizations, and they keep me up-to-date with the computing concerns of organizations.

My research program supports my teaching interests. I work with organizations to help them determine how best to use computing technologies. With funding from the National Science Foundation I and an interdisciplinary team of researchers studied of how healthcare providers can use electronic health records systems to improve the quality of, and access to healthcare, while also reducing costs. Another NSF funded project is developing a diabetes support app. The executives I meet through my research often come to WPI to talk in student classes. My students have the most recent information about how computing technologies are being used in organizations because I integrate the knowledge gained from my research into my teaching.

Research Interests

  • Healthcare Information Systems and Technologies
  • Enterprise Systems, and their use in organizations
  • Data and Information Quality, Data Analytics
  • Affordances and Critical Realism
  • Task-Technology Fit, including misfits and work-arounds

 

Education

  • BS University of South Dakota, 1974
  • MS New Jersey Institute of Technology, 1978
  • MS Carnegie Mellon University, 1983
  • PhD Tepper School of Business, Carnegie Mellon University, 1988

 


Featured Publications

  • Strong, D. M., O. Volkoff, S. A. Johnson, L. R. Pelletier, B. Tulu, I. Bar-On, J. Trudel, and L. Garber, “A Theory of Organization-EHR Affordance Actualization”, Journal of the Association for Information Systems, Vol. 15, No. 2, February 2014, pp. 53-85.
  • Strong, D. M. and O. Volkoff, “Understanding Organization – Enterprise System Fit: A Path to Theorizing the IT Artifact”, MIS Quarterly, Vol. 34, No. 4, December 2010, pp. 731-756.
  • Volkoff, O., D. M. Strong and M. B. Elmes, “Technological Embeddedness and Organizational Change”, Organization Science, Vol. 18, No. 5, September-October 2007, pp. 832-848.
  • Lee, Y. W., D. M. Strong, B. K. Kahn and R. Y. Wang, "AIMQ: A Methodology for Information Quality Assessment", Information & Management, Vol. 40, No. 2, December 2002, pp. 133-146.Strong, D. M. and O. Volkoff, “A Roadmap for Enterprise Systems Implementation”, IEEE Computer, Vol. 37, No. 6, June 2004, pp. 22-29.
  • Wang, R. Y. and D. M. Strong, "Beyond Accuracy: What Data Quality Means to Data Consumers", Journal of Management Information Systems, Vol. 12, No. 4, Spring 1996, pp. 5-34.

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Professional Highlights

  • WPI Trustees Award for Outstanding Research and Creative Scholarship
  • Sigma Xi The Scientific Research Society
  • Beta Gamma Sigma Business and Management Honor Society
  • Upsilon Pi Epsilon Computer Science Honor Society
  • Pi Mu Epsilon Mathematics Honor Society
  • Phi Beta Kappa

 

 
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