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Performance Evaluation Metrics for Information Systems Development: A Principal-Agent Model

Author

Listed:
  • Rajiv D. Banker

    (Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Chris F. Kemerer

    (Sloan School of Management, Massachusetts Institute of Technology, 50 Memorial Drive, E53-315, Cambridge, Massachusetts 02142-1347)

Abstract

The information systems (IS) development activity in large organizations is a source of increasing cost and concern to management. IS development projects are often over-budget, late, costly to maintain, and not done to the satisfaction of the requesting user. These problems exist, in part, due to the organization of the IS development process, where information systems development is typically assigned by the user (principal) to a systems developer (agent). These two parties do not have perfectly congruent goals, and therefore a contract is developed to specify their relationship. An inability to directly monitor the agent requires the use of performance measures, or metrics, to represent the agent's actions to the principal. The use of multiple measures is necessary given the multi-dimensional nature of successful systems development. In practice such contracts are difficult to develop satisfactorily, due in part to an inability to specify appropriate metrics. This paper develops a principal-agent model that provides a set of decision criteria for the principal to use to develop an incentive compatible contract for the agent. These criteria include the precision and the sensitivity of the performance metric. After presenting the formal model, some current software development metrics are discussed to illustrate how the model can be used to provide a theoretical foundation and a formal vocabulary for performance metric analysis. The model is also used in a positive (descriptive) manner to explain why current practice emphasizes metrics that possess relatively high levels of sensitivity and precision. Finally, some suggestions are made for the improvement of current metrics based upon these criteria.

Suggested Citation

  • Rajiv D. Banker & Chris F. Kemerer, 1992. "Performance Evaluation Metrics for Information Systems Development: A Principal-Agent Model," Information Systems Research, INFORMS, vol. 3(4), pages 379-400, December.
  • Handle: RePEc:inm:orisre:v:3:y:1992:i:4:p:379-400
    DOI: 10.1287/isre.3.4.379
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    Citations

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    Cited by:

    1. Rajiv D. Banker & Gordon B. Davis & Sandra A. Slaughter, 1998. "Software Development Practices, Software Complexity, and Software Maintenance Performance: A Field Study," Management Science, INFORMS, vol. 44(4), pages 433-450, April.
    2. Yasin Ceran & Milind Dawande & Dengpan Liu & Vijay Mookerjee, 2014. "Optimal Software Reuse in Incremental Software Development: A Transfer Pricing Approach," Management Science, INFORMS, vol. 60(3), pages 541-559, March.
    3. Rajiv D. Banker & Sandra A. Slaughter, 2000. "The Moderating Effects of Structure on Volatility and Complexity in Software Enhancement," Information Systems Research, INFORMS, vol. 11(3), pages 219-240, September.
    4. Sinan Aral & Erik Brynjolfsson & Lynn Wu, 2012. "Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology," Management Science, INFORMS, vol. 58(5), pages 913-931, May.

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