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Cheri  Speier-Pero

Cheri Speier-Pero

Interim Chairperson
Department: Supply Chain Management

Ernst & Young Professor in Accounting and Information Systems
Department: Accounting and Information Systems

Office: N370 Business College Complex

Telephone: 517-432-0800


Dr. Cheri Speier-Pero is a Professor of Information Systems at Michigan State University and currently serves as the faculty director of the MS in Business Analytics program. Her research interests include effective decision making in technology supported work environments, individual acceptance and use of technology, and the effective use of information technology to support supply chain relationships. Her work has appeared in journals such as MIS Quarterly, Decision Sciences, Organizational Behavior and Human Decision Processes, the Journal of Marketing and the Journal of Operations Management, among others. Dr. Speier-Pero was awarded the MSU University-wide Teacher Scholar award in 2001 recognizing her excellence in teaching and research. She earned a Ph.D. in Management Information Systems at Indiana University.

Influence of work environments on decision making; supporting the supply chain using information systems; individual acceptance and use of technology


  • Speier, C., J. Whipple, D. Closs and M.D. Voss. (2011). Global Supply Chain Design Considerations: Mitigating Product Safety and Security Risks. Journal of Operations Management, 29 (7/8), p. 721-736
  • Speier, C., Lankton, N, and Vance, D. (2012). Internet-Based Knowledge Acquisition: Task Complexity And Performance, Decision Support Systems, 53, 55"“65.
  • Bendoly, E. and C. Speier (2008). Silver Bullet Junkies and the Codifiers That Love Them: Behavioral Roots Behind a Legacy of Bad Modeling and Use, Decision Sciences, 39(2), 157-173.
  • Speier, C., D. Mollenkopf, and T. Stank (2008) The Role of Information Integration in Facilitating 21st Century Supply Chains: A Theory-Based Perspective, Transportation Journal.
  • Speier, C. (2006). The influence of information presentation formats on complex task decision-making performance. International Journal of Human Computer Studies, 64(11), 1115-1131
  • Poston, R., and Speier, C. (2005). Effective use of knowledge management systems: A process model of content ratings and credibilty indicators. MIS Quarterly, 29(2), 229-224.
  • Speier, C., Vessey, I., and Valacich, J. (2003). The effects of interruptions and information presentation formats on decision performance, Decision Sciences, 34(4), 771-797.
  • Speier, C. and Morris, M. (2003). The Influence of Query Interface Design on Decision Making Performance, forthcoming in MIS Quarterly, 27(3), 397-423.
  • Venkatesh, V., Speier, C. and Morris, M. (2002). User acceptance enablers in individual decision-making about technology: Toward an integrated model. Decision Sciences, 33(2), pp. 297-316.
  • Speier, C. and Venkatesh, V. (2002). The Hidden Minefields in the Adoption of Sales Force Automation Technologies," Journal of Marketing, 66(3), pp. 98-111
  • Venkatesh, V. and C. Speier. (2000) "Creating an Effective Training Environment for Enhancing Telework", International Journal of Human Computer Systems, 52 (6), 991-1005.
  • Palmer, J., C. Speier, D. Wren, and S. Hahn (2000) "Electronic Journals in Business Schools: Perceptions on Use and Impact on Promotion and Tenure", Journal of the Association for Information Systems, 1 (2), April.
  • Venkatesh, V. and C. Speier (1999) "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood", Organizational Behavior and Human Decision Processes, 79(1), 1-28.
  • Speier, C., J.S. Valacich, and I. Vessey (1999) "Information Overload Through Interruptions: An Empirical Examination of Decision Making", Decision Sciences 30(2), 337-360.
  • Swink, M. and C. Speier, (1999) "The Effects of Data Aggregation, Dispersion, and Spatial Orientation When Using Maps for Facility Location Decisions", Decision Sciences, 30(1), 169-196.
  • Morris, M.G., C. Speier, and J.A. Hoffer. (1999) "The Impact of Experience on Individual Performance and Workload Differences Using Object-Oriented and Process-Oriented Systems Analysis Techniques. Decision Sciences, 30(1), 107-136.

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