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Environmental Volatility, Development Decisions, and Software Volatility: A Longitudinal Analysis

Author

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  • Evelyn J. Barry

    (Department of Information and Operations Management, Mays Business School, Texas A& M University, 320J Wehner, College Station, Texas 77843)

  • Chris F. Kemerer

    (Katz Graduate School of Business, University of Pittsburgh, 278A Mervis Hall, Pittsburgh, Pennsylvania 15260)

  • Sandra A. Slaughter

    (David A. Tepper School of Business, Carnegie Mellon University, 354 Posner, Pittsburgh, Pennsylvania 15213)

Abstract

Although product development research often focuses on activities prior to product launch, for long-lived, adaptable products like software, development can continue over the entire product life cycle. For managers of these products the challenges are to predict when and how much the products will change and to understand how their development decisions influence the timing and magnitude of future change activities. We develop a two-stage model that relates environmental volatility to product development decisions and product development decisions to software volatility. The model is evaluated using a data archive that captures changes over 20 years to a firm's environment, its managers' development choices, and its software products. In Stage 1 we find that higher environmental volatility leads to greater use of process technology and standard component designs but less team member rotation. Earlier development decisions strongly influence current development choices, especially for product design and process technology. In Stage 2 we find that increased use of standard component designs dampens future software volatility by decreasing the average rate and magnitude of change. Adding new team members increases product enhancements at a faster pace than more intense use of process technology but adds repairs at almost the same rate as enhancements.

Suggested Citation

  • Evelyn J. Barry & Chris F. Kemerer & Sandra A. Slaughter, 2006. "Environmental Volatility, Development Decisions, and Software Volatility: A Longitudinal Analysis," Management Science, INFORMS, vol. 52(3), pages 448-464, March.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:3:p:448-464
    DOI: 10.1287/mnsc.1050.0463
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    References listed on IDEAS

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    Cited by:

    1. Nishtha Langer & Sandra A. Slaughter & Tridas Mukhopadhyay, 2014. "Project Managers' Practical Intelligence and Project Performance in Software Offshore Outsourcing: A Field Study," Information Systems Research, INFORMS, vol. 25(2), pages 364-384, June.
    2. Ralf Meinhardt & Sebastian Junge & Martin Weiss, 2018. "The organizational environment with its measures, antecedents, and consequences: a review and research agenda," Management Review Quarterly, Springer, vol. 68(2), pages 195-235, April.
    3. Yu, Xiaoyu & Tao, Yida & Tao, Xiangming & Xia, Fan & Li, Yajie, 2018. "Managing uncertainty in emerging economies: The interaction effects between causation and effectuation on firm performance," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 121-131.
    4. Chatterjee, Lagnajita & Feng, Cong & Nakata, Cheryl & Sivakumar, K., 2023. "The environmental turbulence concept in marketing: A look back and a look ahead," Journal of Business Research, Elsevier, vol. 161(C).
    5. Narayan Ramasubbu & Chris F. Kemerer, 2016. "Technical Debt and the Reliability of Enterprise Software Systems: A Competing Risks Analysis," Management Science, INFORMS, vol. 62(5), pages 1487-1510, May.
    6. Insaf Bekir, 2015. "The Causal Relationship between IPR Infringement and Socio-economic Factors," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(12), pages 577-586, December.

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