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Prolonging the careers of older information technology workers: continuity, exit or retirement transitions?

Published online by Cambridge University Press:  08 January 2009

LIBBY BROOKE*
Affiliation:
Swinburne University of Technology, Melbourne, Victoria, Australia.
*
Address for correspondence: Libby Brooke, Business Work and Ageing Centre for Research, Swinburne University of Technology, 60 William St, Hawthorn, Melbourne, Victoria 3122, Australia. E-mail: [email protected]

Abstract

The article explores the ways in which older workers' career trajectories influenced their exit from or continuity of employment in the Australian information technology (IT) industry. The data were collected through qualitative interviews with 71 employees of 10 small and medium-sized IT firms as part of the cross-country Workforce Ageing in the New Economy project (WANE), which was conducted in Canada, the United States, Australia and several European Union countries (the United Kingdom, Germany and The Netherlands). The analysis revealed that older IT workers' capacity to envisage careers beyond their fifties was constrained by age-based ‘normative’ capability assumptions that resulted in truncated careers, dissuaded the ambition to continue in work, and induced early retirement. The workers' constricted, age-bound perspectives on their careers were reinforced by the rapid pace of technological and company transformations. A structural incompatibility was found between the exceptional dynamism and competitiveness of the IT industry and the conventional age-staged and extended career. The analysis showed that several drivers of occupational career trajectories besides the well-researched health and financial factors predisposed ‘default transitions’ to exit and retirement. The paper concludes with policy and practice recommendations for the prolongation of IT workers' careers and their improved alignment with the contemporary lifecourse.

Type
Research Article
Copyright
Copyright © 2009 Cambridge University Press

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References

American Association of Retired Persons 2004. Baby Boomers Envision Retirement 11: Survey of Baby Boomers' Expectations for Retirement. American Association of Retired Persons, Washington DC. Available online at http://research.aarp.org [Accessed February 2008].Google Scholar
Australian Bureau of Statistics (ABS) (2006). Australian Labour Market Statistics: Employment in Information and Communication Technology (ICT). Report 6105.0, ABS, Canberra.Google Scholar
Australian Bureau of Statistics (ABS) (2002). Information Technology. Report 8126.0, ABS, Canberra.Google Scholar
Aubert, P., Caroli, E. and Roger, M. 2006. New technologies, organisation and age: firm-level evidence. Economic Journal, 116, 509, F7393.CrossRefGoogle Scholar
Benner, C. 2002. Work in the New Economy. Flexible Labor Markets in Silicon Valley. Blackwell, Malden, Massachusetts.CrossRefGoogle Scholar
Blok, A. 2003. Introduction. uncovering labour in information revolutions, 1750–2000. International Review of Social History, 48, 11 (supplement), 111.CrossRefGoogle Scholar
Cahill, K. E., Giandrea, M. D. and Quinn, J. 2006. Retirement patterns from career development. The Gerontologist, 46, 4, 514–23.CrossRefGoogle Scholar
Carnoy, M. 2000. Sustaining the New Economy: Work, Family and Community in the Information Age. Russell Sage Foundation Report, Harvard University Press, Cambridge, Massachusetts.CrossRefGoogle Scholar
Castells, M. 2000. The Rise of the Network Society: The Information Age: Economy, Society and Culture. Volume 1, second edition, Blackwell, Oxford.Google Scholar
Comeau, T. D. and Kemp, C. L. 2007. Intersections of age and masculinities in the information technology industry. Ageing & Society, 27, 2, 215–32.CrossRefGoogle Scholar
Elder, G. 1985. Life Course Dynamics: Trajectories and Transitions, 1968–1980. Cornell University Press, Ithaca, New York.Google Scholar
Ensmenger, N. L. 2003. Letting the ‘computer boys’ take over: technology and the politics of organisational transformation. International Review of Social History, 48, 11 (supplement), 153–80.CrossRefGoogle Scholar
Faulkner, W. 2000. Dualisms, hierarchies and gender in engineering. Social Studies of Science, 30, 5, 759–92.CrossRefGoogle Scholar
Guillemard, A.-M. and Rein, M. 1993. Comparative patterns of retirement: recent trends in developed societies. Annual Review of Sociology, 19, 469503.CrossRefGoogle Scholar
Hardy, M. A. 2006. Older workers. In Binstock, R. and George, L. (eds) Handbook of Aging and the Social Sciences. Sixth edition, Elsevier, San Diego, California, 201–18.CrossRefGoogle Scholar
Hardy, M. A. and Hazelrigg, L. 1999. A multilevel model of early retirement decisions among autoworkers in plants with different futures. Research on Aging, 21, 2, 275303.CrossRefGoogle Scholar
Henkens, K. 2005. Stereotyping older workers and retirement: the managers' point of view. Canadian Journal on Aging, 24, 4, 353–66.CrossRefGoogle Scholar
Higgs, P., Mein, G., Ferrie, J., Hyde, M. and Nazroo, J. 2003. Pathways to early retirement: structure and agency in decision-making among British civil servants. Ageing & Society, 23, 6, 761–78.CrossRefGoogle Scholar
Joulain, M. and Mullet, E. 2001. Estimating the ‘appropriate’ age for retirement as a function of perceived occupational characteristics. Work and Stress, 15, 4, 357–65.CrossRefGoogle Scholar
Kohli, M. 1994. Work and retirement: a comparative perspective. In Riley, M. W., Kahn, R. L. and Foner, A. (eds) Age and Structural Lag: Society's Failure to Provide Meaningful Opportunities in Work, Family and Leisure. Wiley, New York, 80106.Google Scholar
Marquié, J.-C. and Rico Duarte, L. 2007. Training older workers and long-term development: needs and obstacles. Proceedings of the 3rd International Symposium on Work Ability, Hanoï, 22–24 October.Google Scholar
Marshall, V. M. 1999. Reasoning with case studies: issues of an aging workforce. Journal of Aging Studies, 13, 4, 377–89.CrossRefGoogle Scholar
Marshall, V., Clarke, P. J. and Ballantyne, P. J. 2001. Instability in the retirement transition. Research on Aging, 23, 4, 379409.CrossRefGoogle Scholar
Marshall, V. M. and Mueller, M. 2003. Theoretical roots of the life-course perspective. In Heinz, W. R. and Marshall, V. M. (eds) Social Dynamics of the Life Course: Transitions, Institutions and Interrelations. Aldine de Gruyter, New York, 332.Google Scholar
Mein, G., Martikainen, S. A., Brunner, E. J., Fuhrer, R. and Marmot, M. 2000. Predictors of early retirement in British civil servants. Age and Ageing, 29, 529–36.CrossRefGoogle ScholarPubMed
Millward, C. and Brooke, L. 2007. Should we work longer? Public expectations about older workers and retirement. In Denemark, D., Meagher, G., Wilson, S., Western, M. and Phillips, T. (eds) Australian Social Attitudes 2: Citizenship, Work and Aspirations. University of New South Wales Press, Sydney, Australia, 147–73.Google Scholar
Moen, P., Erickson, W. A., Agarwal, M., Fields, V. and Todd, L. 2000. The Cornell Retirement and Well-Being Study. Final report, Bronfenbrenner Life Course Center, Cornell University, Ithaca, New York.Google Scholar
Moen, P., Sweet, S. and Swisher, R. 2005. Embedded career clocks: the case of retirement planning. In MacMillan, R. (ed.) The Structure of the Life Course: Standardised, Individualized? Differentiated? Advances in Life Course Research 9, Elsevier, University of Minnesota, Minneapolis, 237–65.Google Scholar
Moen, P. and Spencer, D. 2006. Converging divergences in age, gender, health and wellbeing: strategic selection in the third age. In Binstock, R. and George, L. (eds) Handbook of Aging and the Social Sciences. Sixth edition, Elsevier, San Diego, California, 129–40.Google Scholar
Phillipson, C. 2004. Older workers and retirement: critical perspectives on the research literature and policy implications. Social Policy and Society, 3, 2, 189–95.CrossRefGoogle Scholar
Riley, M. W., Kahn, R. L. and Foner, A. 1994. Introduction: the mismatch between people and structures. In Riley, M. W., Kahn, R. L. and Foner, A. (eds) Age and Structural Lag: Society's Failure to Provide Meaningful Opportunities in Work, Family and Leisure. Wiley, New York, 111.Google Scholar
Robertson, A. 2000. ‘I saw the handwriting on the wall’: shades of meaning in reasons for early retirement. Journal of Aging Studies, 14, 1, 6380.CrossRefGoogle Scholar
Sackmann, R. and Wingens, M. 2003. From transitions to trajectories: sequence types. In Heinz, W. R. and Marshall, V. M. (eds) Social Dynamics of the Life Course: Transitions, Institutions and Interrelations. Aldine de Gruyter, New York, 93116.Google Scholar
Schmid, G. 2005. Social risk management through transitional labour markets. Socio-Economic Review (Society for the Advancement of Socio-Economics and Oxford University Press). Advance access published online, October 18 (doi:10.1093/SER/mwj029).CrossRefGoogle Scholar
Sennett, R. 2006. The Culture of the New Capitalism. Yale University Press, New Haven, Connecticut.Google Scholar
Shih, J. 2004. Project time in Silicon Valley. Qualitative Sociology, 27, 2, Summer, 223–45.CrossRefGoogle Scholar
Strauss, A. and Corbin, J. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Second edition, Sage, Thousand Oaks, California.Google Scholar
Valcour, P. M. and Hunter, L. 2005. Technology, organisations and work-life integration. In Kossek, E. and Lambert, S. J. (eds) Work and Life Integration: Organizational, Cultural, and Individual Perspectives. Lawrence Erlbaum, Mahwah, New Jersey, 6184.Google Scholar
Vickerstaff, S. 2006. ‘I'd rather keep running to the end and then jump off the cliff.’ Retirement decisions: who decides? Journal of Social Policy, 35, 3, 455–72.CrossRefGoogle Scholar