The coming knowledge and capability shortage

Research Technology Management

Volumn 49, Issue 4, 2006, Pages 15-23

  Aiman Smith, Lynda ^a,b   Bergey, Paul ^a   Cantwell, April R ^a   Doran, Mark ^c  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b Center for Innovation Management Studies (CIMS)   (United States)

^c Energizer Holdings Inc   (United States)

Author keywords

Critical talent; Decision support simulation; Knowledge loss; Retirement

Indexed keywords

DECISION SUPPORT SYSTEMS; PERSONNEL; PROFESSIONAL ASPECTS; SOCIETIES AND INSTITUTIONS;

CRITICAL TALENT; DECISION-SUPPORT SIMULATION; KNOWLEDGE LOSS; RETIREMENT;

KNOWLEDGE BASED SYSTEMS;

EID: 33745908268     PISSN: 08956308     EISSN: None     Source Type: Journal    
DOI: 10.1080/08956308.2006.11657383     Document Type: Review

References (25)

1. For a discussion of knowledge walking out the door, see DeLong, David. 2004. Lost knowledge: confronting the threat of an aging workforce. Oxford, New York: Oxford University Press.
2. Also, Dohm, Arlene. 2000. Gauging the labor force effects of retiring baby-boomers. Monthly Labor Review 123(7), pp. 17-35,
3. and Sincavage, Jessica R. 2004. The labor force and unemployment: three generations of change. Monthly Labor Review 127(6), pp. 34-41.
4. Also see a special report by Deloitte Research. 2004. It's 2008: Do you know where your talent is? (cited 4 February, 2006). Available at http://www.deloitte.com/us.
5. Leonard, Dorothy and Swap, Walter. 2004. Deep smarts. Harvard Business Review. 82(9). pp. 88-97.
6. For good information, analysis, and public policy recommendations on how the U.S. might maintain innovativeness, see Council on Competitiveness. National Innovation Initiative. 2004. Innovate America: Thriving in a world of challenge and change (cited 4 February 2006). Available at http://www.compete.org/pdf/ NII_Interim_Report.pdf
7. Other information is Gallinsky, E., et al. 2005. Overwork in America. Families and Work Institute. This report underscores the irony that the very factors giving companies a competitive edge and healthy bottom line - technology, multitasking and globalization - may be undermining their workers' physical and emotional well-being, thereby developing the trust gap.
8. Basic demographic information is accessible at National Bureau of Labor Statistics, http://www.bls.gov/
9. and National Center for Health Statistics http://www.cdc.gov/nchs/births. htm.
10. Data on international demographics from U.S. Census Bureau. International Database, http://www.census.gov/ipc/www/ibdnew.html
11. and the Organisation for Economic Cooperation and Development. 2004, http://www.oecd.org/.
12. For more information on the global aging workforce, see Engardio, Pete and Matlack, Carol. 2005. Global Aging. Business Week, January 31.
13. A more academic treatment is given in Peterson, Peter, G. 2002. The shape of things to come: Global aging in the twenty-first century. Journal of International Affairs 56(1), pp. 189-210.
14. To read more on programs to retain the potential loss of knowledge with the baby boomers walking out the door, see: Barbian, Jeff. 2002. The road best traveled. Training 39(5), pp. 38-42;
15. Geber, Beverly. 2000. Who will replace those vanishing execs? Training. 7(7), pp. 48-56;
16. Reingold, Jennifer and Brady, Diane. 1999. Brain drain. Business Week, pp. 112-120, Sept. 20,
17. and Rose, B. 2005. Facing a labor crunch, companies prepare retirees to step back, not away. Knight Ridder Tribune Business News, Jan. 16.
18. The Center for Creative Leadership study was noted in Biech, Elaine. 2003. Executive Commentary. Academy of Management Executive 17(4), pp. 92-93.
19. The study of non-mentored employees leaving was noted in Barbian, Jeff. 2002. The road best traveled. Training 39(5), pp. 38-42.
20. For a review of systems modeling concepts and computerized simulation, see Kheir, Naim A. 1995. Systems Modeling and Computer Simulation. New York: Marcel Decker, Inc.
21. For background information on an analytical model used to look at organizational capability, see Naylor, James C. and Shine, L.C. 1965. A table for determining the increase in mean criterion score. Journal of Industrial Psychology 3, pp. 33-42.
22. Previous modeling of organizational performance issues is in Scullen, Steve E., Bergey, Paul K., and Aiman-Smith, Lynda. 2005. Forced distribution rating systems and the improvement of workforce potential: A baseline simulation. Personnel Psychology 58, pp. 1-32.
23. Data on science and technology education come from the National Science Foundation, Division of Science Resources Statistics. 2004. Science and Engineering Degrees: 1966-2001.
24. Information on recent trends is from the National Science Foundation. 2004. A Companion to the Science and Engineering Indicators, http://www.nsf.gov/sbe/srs/nsb0407/start.htm.
25. For more on how international students are having a tough time getting to the U.S. for graduate education, see Ante, Spencer E. 2004. Keeping out the wrong people. BusinessWeek, Oct. 4.