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Dynamic Resource Capabilities: Managing Workforce Knowledge with a Technology Upgrade

Author

Listed:
  • Cheryl Gaimon

    (College of Management, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Gülru F. Özkan

    (Department of Management, Clemson University, Clemson, South Carolina 29634)

  • Karen Napoleon

    (Terry College of Business Administration, University of Georgia, Athens, Georgia 30602)

Abstract

Although managers invest in new technology to improve performance, often the benefits sought are elusive while the costs incurred far exceed expectations. The literature offers insights to help explain this phenomenon. Evidence suggests that, while carefully considering the purchase cost, managers often underestimate the costs and planning necessary for proper implementation. Consequently, short-term problems arise and long-term benefits are not realized. A model is introduced that integrates workforce knowledge management with the technology upgrade decision. The manager upgrades technology or pursues general training of the workforce in response to depreciation in the ability of each resource to drive net income over time. Depreciation occurs because of changes in consumer preferences and competition. Although adding to technology capability, an upgrade makes a portion of workforce knowledge obsolete. The manager invests in preparatory training prior to the upgrade to reduce obsolescence. Whereas general training is pursued to respond to depreciation by enhancing the ability of the workforce to improve existing products or create new products, preparatory training is technology-specific and focused on preparing for a technology upgrade. We find that the rates of preparatory and general training follow entirely different paths over time. Conditions are given where a manager uses one training strategy as a substitute for or complement to the other. We show that training strategies are not only impacted by learning phenomena such as the rate of forgetting, but also by the rates of technology depreciation and advancement. We show how workforce learning phenomena impact the technology upgrade decision.

Suggested Citation

  • Cheryl Gaimon & Gülru F. Özkan & Karen Napoleon, 2011. "Dynamic Resource Capabilities: Managing Workforce Knowledge with a Technology Upgrade," Organization Science, INFORMS, vol. 22(6), pages 1560-1578, December.
  • Handle: RePEc:inm:ororsc:v:22:y:2011:i:6:p:1560-1578
    DOI: 10.1287/orsc.1100.0598
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    References listed on IDEAS

    as
    1. Suresh P. Sethi, 2021. "Optimal Control Theory," Springer Texts in Business and Economics, Springer, edition 4, number 978-3-030-91745-6, August.
    2. Janice E. Carrillo & Cheryl Gaimon, 2004. "Managing Knowledge-Based Resource Capabilities Under Uncertainty," Management Science, INFORMS, vol. 50(11), pages 1504-1518, November.
    3. Janice E. Carrillo & Cheryl Gaimon, 2000. "Improving Manufacturing Performance Through Process Change and Knowledge Creation," Management Science, INFORMS, vol. 46(2), pages 265-288, February.
    4. Stephen J. Mezias & Mary Ann Glynn, 1993. "The three faces of corporate renewal: Institution, revolution, and evolution," Strategic Management Journal, Wiley Blackwell, vol. 14(2), pages 77-101, February.
    5. Fernando F. Suarez & Michael A. Cusumano & Charles H. Fine, 1996. "An Empirical Study of Manufacturing Flexibility in Printed Circuit Board Assembly," Operations Research, INFORMS, vol. 44(1), pages 223-240, February.
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    7. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    8. James R. Dorroh & Thomas R. Gulledge & Norman K. Womer, 1994. "Investment in Knowledge: A Generalization of Learning By Experience," Management Science, INFORMS, vol. 40(8), pages 947-958, August.
    9. 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.
    10. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    11. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    12. Indranil R. Bardhan & Vish V. Krishnan & Shu Lin, 2007. "Project Performance and the Enabling Role of Information Technology: An Exploratory Study on the Role of Alignment," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 579-595, May.
    13. Kevin Zhu & Kenneth L. Kraemer, 2002. "e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research, INFORMS, vol. 13(3), pages 275-295, September.
    14. Pablo Martin de Holan & Nelson Phillips, 2004. "Remembrance of Things Past? The Dynamics of Organizational Forgetting," Management Science, INFORMS, vol. 50(11), pages 1603-1613, November.
    15. Umble, Elisabeth J. & Haft, Ronald R. & Umble, M. Michael, 2003. "Enterprise resource planning: Implementation procedures and critical success factors," European Journal of Operational Research, Elsevier, vol. 146(2), pages 241-257, April.
    16. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    17. Marcie J. Tyre & Oscar Hauptman, 1992. "Effectiveness of Organizational Responses to Technological Change in the Production Process," Organization Science, INFORMS, vol. 3(3), pages 301-320, August.
    18. Robert M. Grant, 1996. "Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration," Organization Science, INFORMS, vol. 7(4), pages 375-387, August.
    19. Pisano, Gary P., 1996. "Learning-before-doing in the development of new process technology," Research Policy, Elsevier, vol. 25(7), pages 1097-1119, October.
    20. Robert H. Hayes & Kim B. Clark, 1985. "Explaining Observed Productivity Differentials Between Plants: Implications for Operations Research," Interfaces, INFORMS, vol. 15(6), pages 3-14, December.
    21. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    22. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    23. Dennis Epple & Linda Argote & Kenneth Murphy, 1996. "An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing," Operations Research, INFORMS, vol. 44(1), pages 77-86, February.
    24. Cheryl Gaimon, 1997. "Planning Information Technology--Knowledge Worker Systems," Management Science, INFORMS, vol. 43(9), pages 1308-1328, September.
    25. Abdinnour-Helm, Sue & Lengnick-Hall, Mark L. & Lengnick-Hall, Cynthia A., 2003. "Pre-implementation attitudes and organizational readiness for implementing an Enterprise Resource Planning system," European Journal of Operational Research, Elsevier, vol. 146(2), pages 258-273, April.
    26. Sinan Aral & Peter Weill, 2007. "IT Assets, Organizational Capabilities, and Firm Performance: How Resource Allocations and Organizational Differences Explain Performance Variation," Organization Science, INFORMS, vol. 18(5), pages 763-780, October.
    27. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    28. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    29. Milgrom, Paul & Roberts, John, 1990. "The Economics of Modern Manufacturing: Technology, Strategy, and Organization," American Economic Review, American Economic Association, vol. 80(3), pages 511-528, June.
    30. George Li & S. Rajagopalan, 1998. "Process Improvement, Quality, and Learning Effects," Management Science, INFORMS, vol. 44(11-Part-1), pages 1517-1532, November.
    31. de Holan Pablo Martin & Nelson Phillips, 2004. "Remembrance of things past? : The Dynamics of Organizational Forgetting," Post-Print hal-02312935, HAL.
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    3. D. J. Wu & Min Ding & Lorin M. Hitt, 2013. "IT Implementation Contract Design: Analytical and Experimental Investigation of IT Value, Learning, and Contract Structure," Information Systems Research, INFORMS, vol. 24(3), pages 787-801, September.
    4. Alessandro Arlotto & Stephen E. Chick & Noah Gans, 2014. "Optimal Hiring and Retention Policies for Heterogeneous Workers Who Learn," Management Science, INFORMS, vol. 60(1), pages 110-129, January.
    5. Cheryl Gaimon & Karthik Ramachandran, 2021. "The Knowledge Value Chain: An Operational Perspective," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 715-724, March.
    6. Laura J. Kornish & Jeremy Hutchison‐Krupat, 2017. "Research on Idea Generation and Selection: Implications for Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 633-651, April.
    7. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
    8. Cheryl Gaimon & Manpreet Hora & Karthik Ramachandran, 2017. "Towards Building Multidisciplinary Knowledge on Management of Technology: An Introduction to the Special Issue," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 567-578, April.
    9. Gülru F. Özkan-Seely & Cheryl Gaimon & Stylianos Kavadias, 2015. "Dynamic Knowledge Transfer and Knowledge Development for Product and Process Design Teams," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 177-190, May.
    10. Gang Li & Joy M. Field & Hongxun Jiang & Tian He & Youming Pang, 2019. "Decision Models for Workforce and Technology Planning in Services," Papers 1909.12829, arXiv.org.
    11. YoungKi Park & Paul A. Pavlou & Nilesh Saraf, 2020. "Configurations for Achieving Organizational Ambidexterity with Digitization," Information Systems Research, INFORMS, vol. 31(4), pages 1376-1397, December.

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