IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v53y2007i8p1315-1331.html
   My bibliography  Save this article

Learning from Experience in Software Development: A Multilevel Analysis

Author

Listed:
  • Wai Fong Boh

    (Nanyang Business School, Nanyang Technological University, Singapore 639798, Republic of Singapore)

  • Sandra A. Slaughter

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

  • J. Alberto Espinosa

    (Kogod School of Business, American University, Washington, District of Columbia 20016-8044)

Abstract

This study examines whether individuals, groups, and organizational units learn from experience in software development and whether this learning improves productivity. Although prior research has found the existence of learning curves in manufacturing and service industries, it is not clear whether learning curves also apply to knowledge work like software development. We evaluate the relative productivity impacts from accumulating specialized experience in a system, diversified experience in related and unrelated systems, and experience from working with others on modification requests (MRs) in a telecommunications firm, which uses an incremental software development methodology. Using multilevel modeling, we analyze extensive data archives covering more than 14 years of systems development work on a major telecommunications product dating from the beginning of its development process. Our findings reveal that the relative importance of the different types of experience differs across levels of analysis. Specialized experience has the greatest impact on productivity for MRs completed by individual developers, whereas diverse experience in related systems plays a larger role in improving productivity for MRs and system releases completed by groups and organizational units. Diverse experience in unrelated systems has the least influence on productivity at all three levels of analysis. Our findings support the existence of learning curves in software development and provide insights into when specialized or diverse experience may be more valuable.

Suggested Citation

  • Wai Fong Boh & Sandra A. Slaughter & J. Alberto Espinosa, 2007. "Learning from Experience in Software Development: A Multilevel Analysis," Management Science, INFORMS, vol. 53(8), pages 1315-1331, August.
    • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:8:p:1315-1331
    DOI: 10.1287/mnsc.1060.0687
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1060.0687
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.1060.0687?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Robert G. Fichman & Chris F. Kemerer, 1997. "The Assimilation of Software Process Innovations: An Organizational Learning Perspective," Management Science, INFORMS, vol. 43(10), pages 1345-1363, October.
    3. Marcie J. Tyre & Eric von Hippel, 1997. "The Situated Nature of Adaptive Learning in Organizations," Organization Science, INFORMS, vol. 8(1), pages 71-83, February.
    4. Eric D. Darr & Linda Argote & Dennis Epple, 1995. "The Acquisition, Transfer, and Depreciation of Knowledge in Service Organizations: Productivity in Franchises," Management Science, INFORMS, vol. 41(11), pages 1750-1762, November.
    5. Diane L. Rulke & Joseph Galaskiewicz, 2000. "Distribution of Knowledge, Group Network Structure, and Group Performance," Management Science, INFORMS, vol. 46(5), pages 612-625, May.
    6. Ray Reagans & Linda Argote & Daria Brooks, 2005. "Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together," Management Science, INFORMS, vol. 51(6), pages 869-881, June.
    7. 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.
    8. Rajiv D. Banker & Sandra A. Slaughter, 1997. "A Field Study of Scale Economies in Software Maintenance," Management Science, INFORMS, vol. 43(12), pages 1709-1725, December.
    9. Roberto A. Weber & Colin F. Camerer, 2003. "Cultural Conflict and Merger Failure: An Experimental Approach," Management Science, INFORMS, vol. 49(4), pages 400-415, April.
    10. Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
    11. Mikael Holmqvist, 2004. "Experiential Learning Processes of Exploitation and Exploration Within and Between Organizations: An Empirical Study of Product Development," Organization Science, INFORMS, vol. 15(1), pages 70-81, February.
    12. Soon Ang & Sandra Slaughter & Kok Yee Ng, 2002. "Human Capital and Institutional Determinants of Information Technology Compensation: Modeling Multilevel and Cross-Level Interactions," Management Science, INFORMS, vol. 48(11), pages 1427-1445, November.
    13. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
    14. Udo Zander & Bruce Kogut, 1995. "Knowledge and the Speed of the Transfer and Imitation of Organizational Capabilities: An Empirical Test," Organization Science, INFORMS, vol. 6(1), pages 76-92, February.
    15. Samer Faraj & Lee Sproull, 2000. "Coordinating Expertise in Software Development Teams," Management Science, INFORMS, vol. 46(12), pages 1554-1568, December.
    16. Melissa A. Schilling & Patricia Vidal & Robert E. Ployhart & Alexandre Marangoni, 2003. "Learning by Doing Something Else: Variation, Relatedness, and the Learning Curve," Management Science, INFORMS, vol. 49(1), pages 39-56, January.
    17. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Megan Lawrence, 2018. "Taking Stock of the Ability to Change: The Effect of Prior Experience," Organization Science, INFORMS, vol. 29(3), pages 489-506, June.
    2. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    3. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    4. Mihaela Stan & Freek Vermeulen, 2013. "Selection at the Gate: Difficult Cases, Spillovers, and Organizational Learning," Organization Science, INFORMS, vol. 24(3), pages 796-812, June.
    5. Sriram Narayanan & Sridhar Balasubramanian & Jayashankar M. Swaminathan, 2009. "A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment," Management Science, INFORMS, vol. 55(11), pages 1861-1876, November.
    6. Linda Argote & Bill McEvily & Ray Reagans, 2003. "Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes," Management Science, INFORMS, vol. 49(4), pages 571-582, April.
    7. Eelke Wiersma, 2007. "Conditions That Shape the Learning Curve: Factors That Increase the Ability and Opportunity to Learn," Management Science, INFORMS, vol. 53(12), pages 1903-1915, December.
    8. Robert S. Huckman & Bradley R. Staats, 2008. "Variation in Experience and Team Familiarity: Addressing the Knowledge Acquisition-Application Problem," Harvard Business School Working Papers 09-035, Harvard Business School.
    9. Edward G. Anderson & Kyle Lewis, 2014. "A Dynamic Model of Individual and Collective Learning Amid Disruption," Organization Science, INFORMS, vol. 25(2), pages 356-376, April.
    10. Jain, Amit, 2023. "How knowledge loss and network-structure jointly determine R&D productivity in the biotechnology industry," Technovation, Elsevier, vol. 119(C).
    11. Ray Reagans & Linda Argote & Daria Brooks, 2005. "Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together," Management Science, INFORMS, vol. 51(6), pages 869-881, June.
    12. Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2013. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services," Organization Science, INFORMS, vol. 24(5), pages 1539-1557, October.
    13. Scott F. Rockart & Nilanjana Dutt, 2015. "The rate and potential of capability development trajectories," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 53-75, January.
    14. Linda Argote & Henrich R. Greve, 2007. "A Behavioral Theory of the Firm ---40 Years and Counting: Introduction and Impact," Organization Science, INFORMS, vol. 18(3), pages 337-349, June.
    15. Gina Dokko & Steffanie L. Wilk & Nancy P. Rothbard, 2009. "Unpacking Prior Experience: How Career History Affects Job Performance," Organization Science, INFORMS, vol. 20(1), pages 51-68, February.
    16. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    17. Robert S. Huckman & Bradley R. Staats & David M. Upton, 2009. "Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services," Management Science, INFORMS, vol. 55(1), pages 85-100, January.
    18. Megan Lawrence, 2020. "Replication using templates: Does the unit learn from itself, the template, or both?," Strategic Management Journal, Wiley Blackwell, vol. 41(11), pages 1955-1982, November.
    19. Joel A. C. Baum & Kristina B. Dahlin, 2007. "Aspiration Performance and Railroads’ Patterns of Learning from Train Wrecks and Crashes," Organization Science, INFORMS, vol. 18(3), pages 368-385, June.
    20. Tridas Mukhopadhyay & ParamVir Singh & Seung Hyun Kim, 2011. "Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems," Information Systems Research, INFORMS, vol. 22(3), pages 586-605, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:53:y:2007:i:8:p:1315-1331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.