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Older job seekers' job search intensity: the interplay of proactive personality, age and occupational future time perspective

Published online by Cambridge University Press:  30 May 2012

HANNES ZACHER
HANNES ZACHER*
Affiliation:
School of Psychology, The University of Queensland, Brisbane, Australia.
*
Address for correspondence: Hannes Zacher, School of Psychology, The University of Queensland, Brisbane, Queensland 4072, Australia. E-mail: [email protected]
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Abstract

Long-term unemployment of older people can have severe consequences for individuals, communities and ultimately economies, and is therefore a serious concern in countries with an ageing population. However, the interplay of chronological age and other individual difference characteristics in predicting older job seekers' job search is so far not well understood. This study investigated relationships among age, proactive personality, occupational future time perspective (FTP) and job search intensity of 182 job seekers between 43 and 77 years in Australia. Results were mostly consistent with expectations based on a combination of socio-emotional selectivity theory and the notion of compensatory psychological resources. Proactive personality was positively related to job search intensity and age was negatively related to job search intensity. Age moderated the relationship between proactive personality and job search intensity, such that the relationship was stronger at higher compared to lower ages. One dimension of occupational FTP (perceived remaining time left in the occupational context) mediated this moderating effect, but not the overall relationship between age and job search intensity. Implications for future research, including the interplay of occupational FTP and proactive personality, and some tentative practical implications are discussed.

Keywords

future time perspectiveproactive personalityjob searcholder job seekers
Type
Articles
Information
Ageing & Society , Volume 33 , Issue 7 , October 2013 , pp. 1139 - 1166
Copyright
Copyright © Cambridge University Press 2012 

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References

Aguinis, H., Beaty, J. C., Boik, R. J. and Pierce, C. A. 2005. Effect size and power in assessing moderating effects of categorical variables using multiple regression: a 30-year review. Journal of Applied Psychology, 90, 1, 94–107.Google Scholar
Australian Bureau of Statistics 2010. Job Search Experience. Australian Bureau of Statistics, Canberra.Google Scholar
Australian Government 2009. Secure and Sustainable Pension Reforms. Australian Government, Canberra.Google Scholar
Australian Human Rights Commission 2011. The Road so Far – The Age Discrimination Act 2004. Australian Human Rights Commission, Sydney.Google Scholar
Bal, P. M., Jansen, P. G. W., van der Velde, M. E. G., de Lange, A. H. and Rousseau, D. M. 2010. The role of future time perspective in psychological contracts: a study among older workers. Journal of Vocational Behavior, 76, 3, 474–86.Google Scholar
Baruch, Y. and Holtom, B. C. 2008. Survey response rate levels and trends in organizational research. Human Relations, 61, 8, 1139–60.CrossRefGoogle Scholar
Bateman, T. S. and Crant, J. M. 1993. The proactive component of organizational behavior: a measure and correlates. Journal of Organizational Behavior, 14, 2, 103–18.Google Scholar
Bertolino, M., Truxillo, D. M. and Fraccaroli, F. 2011. Age as moderator of the relationship of proactive personality with training motivation, perceived career development from training, and training behavioral intentions. Journal of Organizational Behavior, 32, 2, 248–63.Google Scholar
Blau, G. 1994. Testing a two-dimensional measure of job search behavior. Organizational Behavior and Human Decision Processes, 59, 2, 288–312.Google Scholar
Brown, D. J., Cober, R. T., Kane, K., Levy, P. E. and Shalhoop, J. 2006. Proactive personality and the successful job search: a field investigation with college graduates. Journal of Applied Psychology, 91, 3, 717–27.CrossRefGoogle ScholarPubMed
Carstensen, L. L. 2006. The influence of a sense of time on human development. Science, 312, 5782, 1913–5.Google Scholar
Carstensen, L. L., Isaacowitz, D. M. and Charles, S. T. 1999. Taking time seriously: a theory of socioemotional selectivity. American Psychologist, 54, 3, 165–81.Google Scholar
Carstensen, L. L. and Lang, F. R. 1996. Future time perspective scale. Unpublished manuscript, Stanford University, Stanford, California.Google Scholar
Cate, R. A. and John, O. P. 2007. Testing models of the structure and development of future time perspective: maintaining a focus on opportunities in middle age. Psychology and Aging, 22, 1, 186–201.CrossRefGoogle ScholarPubMed
Claes, R. and De Witte, H. 2002. Determinants of graduates’ preparatory job search behavior: a competitive test of proactive personality and expectancy-value theory. Psychologica Belgica, 42, 4, 251–66.Google Scholar
Cohen, J. E. 2003. Human population: the next half century. Science, 302, 5648, 1172–5.Google Scholar
Cohen, J., Cohen, P., West, S. G. and Aiken, L. S. 2003. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Third edition, Erlbaum, Mahwah, New Jersey.Google Scholar
Commonwealth of Australia 2010. Australia to 2050: Future Challenges. Commonwealth of Australia, Canberra.Google Scholar
Crant, J. M. 1995. The Proactive Personality Scale and objective job performance among real estate agents. Journal of Applied Psychology, 80, 4, 532–7.Google Scholar
Dendinger, V. M., Adams, G. A. and Jacobson, J. D. 2005. Reasons for working and their relationship to retirement attitudes, job satisfaction and occupational self-efficacy of bridge employees. International Journal of Aging and Human Development, 61, 1, 21–35.Google Scholar
Efron, B. 1987. Better bootstrap confidence intervals. Journal of the American Statistical Association, 82, 397, 171–85.Google Scholar
Efron, B. and Tibshirani, R. J. 1993. An Introduction to the Bootstrap. Monographs on Statistics and Applied Probability, Volume 57, Chapman and Hall, New York.Google Scholar
Encel, S. and Studencki, H. 2004. Older workers: can they succeed in the job market? Australasian Journal on Ageing, 23, 1, 33–7.Google Scholar
European Commission 2010 a. Charter of Fundamental Rights of the European Union. European Commission, Brussels.Google Scholar
European Commission 2010 b. Green Paper: Toward Adequate, Sustainable and Safe European Pension Systems. European Commission, Brussels.Google Scholar
Frazier, P. A., Tix, A. P. and Barron, K. E. 2004. Testing moderator and mediator effects in counseling psychology research. Journal of Counseling Psychology, 51, 1, 115–34.Google Scholar
Frese, M., Fay, D., Hilburger, T., Leng, K. and Tag, A. 1997. The concept of personal initiative: operationalization, reliability and validity in two German samples. Journal of Organizational and Occupational Psychology, 70, 2, 139–61.Google Scholar
Frese, M., Garman, G., Garmeister, K., Halemba, K., Hortig, A., Pulwitt, T. and Schildbach, S. 2002. Training zur Erhöhung der Eigeninitiative bei Arbeitslosen: Bericht über einen Pilotversuch [Training to increase personal initiative of the unemployed: report on a pilot study]. Zeitschrift für Arbeits- und Organisationspsychology, 46, 2, 89–97.Google Scholar
Frese, M., Garst, H. and Fay, D. 2007. Making things happen: reciprocal relationships between work characteristics and personal initiative in a four-wave longitudinal structural equation model. Journal of Applied Psychology, 92, 4, 1084–102.Google Scholar
Frese, M. and Mohr, G. 1987. Prolonged unemployment and depression in older workers: a longitudinal study of intervening variables. Social Science and Medicine, 25, 2, 173–8.CrossRefGoogle ScholarPubMed
Fuller, B. and Marler, L. E. 2009. Change driven by nature: a meta-analytic review of the proactive personality literature. Journal of Vocational Behavior, 75, 3, 329–45.Google Scholar
Gielnik, M. M., Zacher, H. and Frese, M. 2012. Focus on opportunities as a mediator between business owners’ age and venture growth. Journal of Business Venturing, 27, 1, 127–42.Google Scholar
Ginn, J. and Arber, S. 1996. Gender, age and attitudes to retirement in mid-life. Ageing & Society, 16, 1, 27–55.Google Scholar
Heidkamp, M., Corre, N. and Van Horn, C. E. 2010. The ‘New Unemployables’: Older Job Seekers Struggle to Find Work During the Great Recession. The Sloan Center on Aging and Work, Boston, Massachusetts.Google Scholar
Hobfoll, S. E. and Leiberman, J. R. 1987. Personality and social resources in immediate and continued stress resistance among women. Journal of Personality and Social Psychology, 52, 1, 18–26.Google Scholar
Hobfoll, S. E. and Shirom, A. 2001. Conservation of resources theory: applications to stress and management in the workplace. In Golembiewski, R. T. (ed.), Handbook of Organizational Behavior. Dekker, New York, 57–80.Google Scholar
Kahana, E. and Kahana, B. 1996. Conceptual and empirical advances in understanding aging well through proactive adaptation. In Bengtson, V. (ed.), Adulthood and Aging: Research on Continuities and Discontinuities. Springer, New York, 13–40.Google Scholar
Kammeyer-Mueller, J. D. and Wanberg, C. R. 2003. Unwrapping the organizational entry process: disentangling multiple antecedents and their pathways to adjustment. Journal of Applied Psychology, 88, 5, 779–94.Google Scholar
Kanfer, R., Wanberg, C. R. and Kantrowitz, T. M. 2001. Job search and employment: a personality-motivational analysis and meta-analytic review. Journal of Applied Psychology, 86, 5, 837–55.Google Scholar
Kay, B. and Johnson, T. J. 1999. Research methodology: taming the cyber frontier. Techniques for improving online surveys. Social Science Computer Review 17, 3, 323–37.Google Scholar
Klehe, U.-C., Koen, J. and De Pater, I. E. 2012. Ending on the scrap heap? The experience of job loss and job search among older workers. In Hedge, J. W. and Borman, W. C. (eds), The Oxford Handbook of Work and Aging. Oxford University Press, New York, 313–40.Google Scholar
Kooij, D. T. A. M., De Lange, A. H., Jansen, P. G. W. and Dikkers, J. S. E. 2007. Older workers’ motivation to continue to work: five meanings of age. Journal of Managerial Psychology, 23, 4, 364–94.Google Scholar
Kooij, D. T. A. M., De Lange, A. H., Jansen, P. G. W., Kanfer, R. and Dikkers, J. S. E. 2011. Age and work-related motives: results of a meta-analysis. Journal of Organizational Behavior, 32, 2, 197–225.Google Scholar
Kossen, C. and Pedersen, C. 2008. Older workers in Australia: the myths, the realities and the battle over workforce ‘flexibility’. Journal of Management and Organisation, 14, 1, 73–84.CrossRefGoogle Scholar
Lang, F. R. and Carstensen, L. L. 1994. Close emotional relationships in late life: further support for proactive aging in the social domain. Psychology and Aging, 9, 2, 315–24.Google Scholar
Lang, F. R. and Carstensen, L. L. 2002. Time counts: future time perspective, goals, and social relationships. Psychology and Aging, 17, 1, 125–39.Google Scholar
Lievens, F., Van Hoye, G. and Zacher, H. 2012. Recruiting/hiring of older workers. In Hedge, J. W. and Borman, W. C. (eds), The Oxford Handbook of Work and Aging. Oxford University Press, New York, 380–91.Google Scholar
Löckenhoff, C. E. and Carstensen, L. L. 2004. Socioemotional selectivity theory, aging, and health: the increasingly delicate balance between regulating emotions and making tough choices. Journal of Personality, 72, 6, 1395–424.Google Scholar
Loi, J. L. P. and Shultz, K. S. 2007. Why older adults seek employment: differing motivations among subgroups. Journal of Applied Gerontology, 26, 3, 274–89.CrossRefGoogle Scholar
MacKinnon, D. P., Lockwood, C. M. and Williams, J. 2004. Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 1, 99–128.CrossRefGoogle ScholarPubMed
Muller, D., Judd, C. M. and Yzerbyt, V. Y. 2005. When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 6, 852–63.Google Scholar
Nakai, Y., Chang, B., Snell, A. F. and Fluckinger, C. D. 2011. Profiles of mature job seekers: connecting needs and desires to work characteristics. Journal of Organizational Behavior, 32, 2, 155–72.Google Scholar
Ng, T. W. H. and Feldman, D. C. 2008. The relationship of age to ten dimensions of job performance. Journal of Applied Psychology, 93, 2, 392–423.Google Scholar
Ng, T. W. H. and Feldman, D. C. 2010. The relationship of age with job attitudes: a meta-analysis. Personnel Psychology, 63, 3, 667–718.Google Scholar
Niessen, C. 2006. Age and learning during unemployment. Journal of Organizational Behavior, 27, 6, 771–92.Google Scholar
Organisation for Economic Co-operation and Development 2006. Live Longer, Work Longer. Organisation for Economic Co-operation and Development, Paris.Google Scholar
Patrickson, M. and Ranzijn, R. 2004. Bounded choices in work and retirement in Australia. Employee Relations, 26, 4, 422–32.CrossRefGoogle Scholar
Posthuma, R. A. and Campion, M. A. 2009. Age stereotypes in the workplace: common stereotypes, moderators, and future research directions. Journal of Management, 35, 1, 158–88.Google Scholar
Preacher, K. J. and Hayes, A. F. 2004. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 4, 717–31.Google Scholar
Preacher, K. J., Rucker, D. D. and Hayes, A. F. 2007. Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 1, 185–227.CrossRefGoogle ScholarPubMed
Productivity Commission 2005. Economic Implications of an Ageing Australia. Commonwealth of Australia, Canberra.Google Scholar
Ranzijn, R., Carson, E. and Winefield, A. 2004. Barriers to mature aged re-employment: perceptions about desirable work-related attributes held by job-seekers and employers. International Journal of Organisational Behaviour, 8, 7, 559–70.Google Scholar
Ranzijn, R., Carson, E., Winefield, A. H. and Price, D. 2006. On the scrap-heap at 45: the human impact of mature-aged unemployment. Journal of Occupational and Organizational Psychology, 79, 3, 467–79.Google Scholar
Seibert, S. E., Crant, J. M. and Kraimer, M. L. 1999. Proactive personality and career success. Journal of Applied Psychology, 84, 3, 416–27.Google Scholar
Siemsen, E., Roth, A. and Oliveira, P. 2010. Common method bias in regression models with linear, quadratic, and interaction effects. Organizational Research Methods, 13, 3, 456–76.Google Scholar
Simsek, Z. and Veiga, J. F. 2001. A primer on internet organizational surveys. Organizational Research Methods, 4, 3, 218–35.Google Scholar
Strauss, K., Griffin, M. A. and Parker, S. K. 2012. Future work selves: How salient hoped-for identities motivate proactive career behaviors. Journal of Applied Psychology, 97, 3, 580–98.Google Scholar
Thomas, J. P., Whitman, D. S. and Viswesvaran, C. 2010. Employee proactivity in organizations: a comparative meta-analysis of emergent proactive constructs. Journal of Occupational and Organizational Psychology, 83, 2, 275–300.Google Scholar
van Dam, K. and Menting, L. 2012. The role of approach and avoidance motives for unemployed job search behavior. Journal of Vocational Behavior, 80, 1, 108–17.Google Scholar
Van Selm, M. and Jankowski, N. W. 2006. Conducting online surveys. Quality and Quantity, 40, 3, 435–56.Google Scholar
Wanberg, C. R., Kanfer, R. and Banas, J. T. 2000. Predictors and outcomes of networking intensity among unemployed job seekers. Journal of Applied Psychology, 85, 4, 491–503.Google Scholar
Warr, P. B. 1987. Work, Unemployment, and Mental Health. Oxford University Press, Oxford.Google Scholar
Wilson, G. 2002. Globalisation and older people: effects of markets and migration. Ageing & Society, 22, 5, 647–63.Google Scholar
Wuebbeke, C. 2011. The limitations of activation policies: unemployment at the end of working life. Ageing & Society, 31, 6, 977–1002.Google Scholar
Zacher, H. and Frese, M. 2009. Remaining time and opportunities at work: relationships between age, work characteristics, and occupational future time perspective. Psychology and Aging, 24, 2, 487–93.Google Scholar
Zacher, H. and Frese, M. 2011. Maintaining a focus on opportunities at work: the interplay between age, job complexity, and the use of selection, optimization, and compensation strategies. Journal of Organizational Behavior, 32, 2, 291–318.CrossRefGoogle Scholar
Zacher, H., Heusner, S., Schmitz, M., Zwierzanska, M. M. and Frese, M. 2010. Focus on opportunities as a mediator of the relationships between age, job complexity, and work performance. Journal of Vocational Behavior, 76, 3, 374–86.Google Scholar
Zacher, H., Jimmieson, N. L. and Winter, G. 2012. Eldercare demands, mental health, and work performance: the moderating role of satisfaction with eldercare tasks. Journal of Occupational Health Psychology, 17, 1, 52–64.CrossRefGoogle ScholarPubMed