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20 - Managing Employees across the Working Lifespan

from Part III - Implications for Talent Management and Impact on Employees

Published online by Cambridge University Press:  02 April 2020

By
Cort W. Rudolph  and
Hannes Zacher
Edited by
Brian J. Hoffman ,
Mindy K. Shoss  and
Lauren A. Wegman
Brian J. Hoffman
Affiliation:
University of Georgia
Mindy K. Shoss
Affiliation:
University of Central Florida
Lauren A. Wegman
Affiliation:
University of Georgia
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Summary

As the workforce ages, and becomes increasingly age diverse, it is important to consider how to best manage employees across the working lifespan. In this chapter, we consider how seven axioms of the lifespan developmental theoretical perspective could be applied to this end. The lifespan developmental perspective is a metatheoretical framework, which integrates a variety of specific theories of human development and aging. We argue that the lifespan perspective is an ideal framework for understanding how to best manage an aging workforce. In particular, this framework has advantages over other models for understanding this phenomenon, namely the generational perspective. We offer a number of practical recommendations for integrating the lifespan perspective into the broader discourse on the changing nature of work, and into discussions regarding the aging workforce, specifically. Finally, we conclude with some thoughts on the notion of age management, and discuss implications of this framework for future inquiry and practice.

Keywords

ageaginglifespandevelopmentage management
Type
Chapter
Information
The Cambridge Handbook of the Changing Nature of Work , pp. 425 - 445
Publisher: Cambridge University Press
Print publication year: 2020

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References

Baltes, P. B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23, 611–626.Google Scholar
Baltes, P. B., Dittmann-Kohli, F., & Dixon, R. A. (1984). New perspectives on the development of intelligence in adulthood: Toward a dual-process conception and a model of selective optimization with compensation. In Baltes, P. B. & Brim, O. G. Jr. (Eds.), Life-span development and behavior, Vol. 6 (pp. 33–76). New York, NY: Academic Press.Google Scholar
Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2006). Lifespan theory in developmental psychology. In Damon, W. & Lerner, R. M. (Eds.), Handbook of child psychology, Vol. 1: Theoretical models of human development (6th ed., pp. 569–664). New York, NY: Wiley.Google Scholar
Baltes, P. B., Reese, H. W., & Lipsitt, L. P. (1980). Life-span developmental psychology. Annual Review of Psychology, 31, 65–110.Google Scholar
Baltes, P. B., Staudinger, U. M., & Lindenberger, U. (1999). Lifespan psychology: Theory and application to intellectual functioning. Annual Review of Psychology, 50, 471–507.Google Scholar
Beehr, T. A., & Bennett, M. M. (2015). Working after retirement: Features of bridge employment and research directions. Work, Aging and Retirement, 1, 112–128.CrossRefGoogle Scholar
Beier, M. E., Teachout, M. S., & Cox, C. B. (2012). The training and development of an aging workforce. In Hedge, J. W. & Borman, W. C. (Eds.), The Oxford handbook of work and aging (pp. 436–453). New York, NY: Oxford University Press.Google Scholar
Beier, M. E., Torres, W. J., & Gilberto, J. M. (2017). Continuous development throughout a career: A lifespan perspective on autonomous learning. In Ellingson, J. E. & Noe, R. A. (Eds.), Autonomous learning in the workplace (pp. 179–200). New York, NY: Taylor & Francis.CrossRefGoogle Scholar
Bianchi, E. C. (2013). The bright side of bad times: The affective advantages of entering the workforce in a recession. Administrative Science Quarterly, 58, 587–623.Google Scholar
Bianchi, E. C. (2014). Entering adulthood in a recession tempers later narcissism. Psychological Science, 25, 1429–1437.Google Scholar
Böhm, S. A., Schröder, H. S., & Kunze, F. (2013). Comparative age management: Theoretical perspectives and practical implications. In Field, J., Burke, R., & Cooper, C. L. (Eds.), The SAGE handbook of work, aging, and society (pp. 211–237). Thousand Oaks, CA: Sage.Google Scholar
Brandtstädter, J. (1999). The self in action and development: Cultural, biosocial, and ontogenetic bases of intentional self-development. In Brandtstädter, J. & Lerner, R. M. (Eds.), Action and self development: Theory and research through the life span (pp. 37–65). Thousand Oaks, CA: Sage.Google Scholar
Calo, J. (2005). The generativity track: A transitional approach to retirement. Public Personnel Management, 34, 301–312.Google Scholar
Campbell, S. M., Twenge, J. M., & Campbell, W. K. (2017). Fuzzy but useful constructs: Making sense of the differences between generations. Work, Aging and Retirement, 3, 130–139.Google Scholar
Carstensen, L. L. (1991). Selectivity theory: Social activity in life-span context. Annual Review of Gerontology and Geriatrics, 11, 195–217.Google Scholar
Carstensen, L. L. (2006). The influence of a sense of time on human development. Science, 312, 1913–1915.Google Scholar
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54, 165–181.Google Scholar
Charles, S. T. (2010). Strength and vulnerability integration: A model of emotional well-being across adulthood. Psychological Bulletin, 136, 1068–1091.Google Scholar
Costanza, D. P., Badger, J. M., Fraser, R. L., Severt, J. B., & Gade, P. A. (2012). Generational differences in work-related attitudes: A meta-analysis. Journal of Business and Psychology, 27, 375–394.Google Scholar
Costanza, D. P., Badger-Darrow, J. B., Yost, A. B., & Severt, J. B. (2017). A review of analytical methods used to study generational differences: Strengths and limitations. Work, Aging and Retirement, 3, 149–165.Google Scholar
Damman, M., Henkens, K., & Kalmijn, M. (2013). Missing work after retirement: The role of life histories in the retirement adjustment process. The Gerontologist, 55, 802–813.Google Scholar
Day, D. V. (2011). Integrative perspectives on longitudinal investigations of leader development: From childhood through adulthood. Leadership Quarterly, 22, 561–571.Google Scholar
Day, D. V., Fleenor, J. W., Atwater, L. E., Sturm, R. E., & McKee, R. A. (2014). Advances in leader and leadership development: A review of 25 years of research and theory. Leadership Quarterly, 25, 63–82.Google Scholar
Day, D. V., Harrison, M. M., & Halpin, S. M. (2012). An integrative approach to leader development: Connecting adult development, identity, and expertise. New York, NY: Routledge.Google Scholar
DeLong, D. W. (2004). Lost knowledge: Confronting the threat of an aging workforce. New York, NY: Oxford University Press.Google Scholar
Dixon, R. A., & Baltes, P. B. (1986). Toward life-span research on the functions and pragmatics of intelligence. In Sternberg, R. J. & Wagner, R. K. (Eds.), Practical intelligence: Origins of competence in the everyday world (pp. 203–235). New York, NY: Cambridge University Press.Google Scholar
Doerwald, F., Scheibe, S., Zacher, H., & Van Yperen, N. W. (2016). Emotional competencies across adulthood: State of knowledge and implications for the work context. Work, Aging and Retirement, 2, 159–216.CrossRefGoogle Scholar
Donaldson, T., Earl, J. K., & Muratore, A. M. (2010). Extending the integrated model of retirement adjustment: Incorporating mastery and retirement planning. Journal of Vocational Behavior, 77, 279–289.Google Scholar
Elder, G. H. (1998). The life course as developmental theory. Child Development, 69, 1–12.Google Scholar
Elder, G. H. (1999). Children of the Great Depression: Social change in life experience. Boulder, CO: Westview Press.Google Scholar
Erikson, E. H. (1950). Childhood and society. New York, NY: Norton.Google Scholar
Featherman, D. L., & Lerner, R. M. (1985). Ontogenesis and sociogenesis: Problematics for theory and research about development and socialization across the lifespan. American Sociological Review, 50, 659–676.Google Scholar
Feldman, D. C. (2002). Stability in the midst of change: A developmental perspective on the study of careers. In Feldman, D. C. (Ed.), Work careers: A developmental perspective (pp. 3–26). San Francisco, CA: Jossey-Bass.Google Scholar
Fisher, G. G., Stachowski, A., Infurna, F. J., Faul, J. D., Grosch, J., and Tetrick, L. E. (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. Journal of Occupational Health Psychology, 19, 231–242.CrossRefGoogle ScholarPubMed
Ford, D. H., & Lerner, R. M. (1992). Developmental systems theory: An integrative approach. Thousand Oaks, CA: Sage.Google Scholar
Gerland, P., Raftery, A. E., Ševčíková, H., Li, N., Gu, D., Spoorenberg, T., ... & Wilmoth, J. (2014). World population stabilization unlikely this century. Science, 346, 234–237.CrossRefGoogle ScholarPubMed
Hall, D. T., & Mirvis, P. H. (1995). The new career contract: Developing the whole person at midlife and beyond. Journal of Vocational Behavior, 47(3), 269–289.Google Scholar
Heckhausen, J., & Schulz, R. (1995). A life-span theory of control. Psychological Review, 102, 284–304.Google Scholar
Heckhausen, J., & Tomasik, M. J. (2002). Get an apprenticeship before school is out: How German adolescents adjust vocational aspirations when getting close to a developmental deadline. Journal of Vocational Behavior, 60, 199–219.Google Scholar
Hirschi, A., Niles, S. G., & Akos, P. (2011). Engagement in adolescent career preparation: Social support, personality and the development of choice decidedness and congruence. Journal of Adolescence, 34, 173–182.Google Scholar
Infurna, F. J., & Andel, R. (2017). The impact of changes in episodic memory surrounding retirement on subsequent risk of disability, cardiovascular disease, and mortality. Work, Aging and Retirement.Google Scholar
Kanfer, R., & Ackerman, P. L. (2004). Aging, adult development, and work motivation. The Academy of Management Review, 29, 440–458.Google Scholar
Kohlberg, L. (1987). The Measurement of moral judgement. Cambridge, UK: Cambridge University Press.Google Scholar
Kooij, D. T. (2015). Successful aging at work: The active role of employees. Work, Aging and Retirement, 1, 309–319.Google Scholar
Kooij, D. T. A. M., de Lange, A. H., Jansen, P. G. W., Kanfer, R., & Dikkers, J. S. E. (2011). Age and work-related motives: Results of a meta-analysis. Journal of Organizational Behavior, 32, 197–225.Google Scholar
Kooij, D. T., Tims, M., & Kanfer, R. (2015). Successful aging at work: The role of job crafting. In Bal, P. M., Kooij, D. T. A. M., & Rousseau, D. M. (Eds.), Aging workers and the employee–employer relationship (pp. 145–161). Zurich, Switzerland: Springer International Publishing.Google Scholar
Kooij, D. T., van Woerkom, M., Wilkenloh, J., Dorenbosch, L., & Denissen, J. J. (2017). Job crafting towards strengths and interests: The effects of a job crafting intervention on person–job fit and the role of age. Journal of Applied Psychology, 102, 971–981.Google Scholar
Kozlowski, S. W. J., & Klein, K. J. (2000). A multilevel approach to theory and research in organizations: Contextual, temporal, and emergent processes. In Klein, K. J. & Kozlowski, S. W. J. (Eds.), Multilevel theory, research and methods in organizations: Foundations, extensions, and new directions (pp. 3–90). San Francisco, CA: Jossey-Bass.Google Scholar
Kunze, F., Boehm, S. A., & Bruch, H. (2011). Age diversity, age discrimination climate and performance consequences: A cross organizational study. Journal of Organizational Behavior, 32, 264–290.Google Scholar
Lerner, R. M. (1996). Relative plasticity, integration, temporality, and diversity in human development: A developmental contextual perspective about theory, process, and method. Developmental Psychology, 32, 781–786.Google Scholar
Lerner, R. M., & Busch-Rossnagel, N. A. (1981). Individuals as producers of their development: A life-span perspective. New York, NY: Academic Press.Google Scholar
Lerner, R. M., & Kauffman, M. B. (1985). The concept of development in contextualism. Developmental Review, 5, 309–333.Google Scholar
Levinson, D. J. (1986). A conception of adult development. American Psychologist, 41, 3–13.CrossRefGoogle Scholar
Marcus, J., & Fritzsche, B. A. (2016). The cultural anchors of age discrimination in the workplace: A multilevel framework. Work, Aging and Retirement, 2, 217–229.CrossRefGoogle Scholar
Maurer, T. J. (2001). Career-relevant learning and development, worker age, and beliefs about self-efficacy for development. Journal of Management, 27, 123–140.Google Scholar
Naegele, G., & Walker, A. (2010). Age management in organisations in the European Union. In Malloch, M. (Ed.), The Sage handbook of workplace learning (pp. 251–267). London, UK: Sage.Google Scholar
Oltmanns, J., Godde, B., Winneke, A. H., Richter, G., Niemann, C., Voelcker-Rehage, C., ... & Staudinger, U. M. (2017). Don’t lose your brain at work: The role of recurrent novelty at work in cognitive and brain aging. Frontiers in Psychology, 8, e2598. doi: 10.3389/fpsyg.2017.00117.Google Scholar
Parker, S. K., & Bindl, U. K. (Eds.). (2016). Proactivity at work: Making things happen in organizations. New York, NY: Taylor & Francis.Google Scholar
Phillips, S. D. (2015). Lifespan career development. In Hartung, P. J., Savickas, M. L., & Walsh, W. B. (Eds.), APA handbook of career intervention, Vol. 1: Foundations (pp. 99–113). Washington, DC: APA.Google Scholar
Piaget, J. (1976). Piaget’s theory. In Piaget and his school (pp. 11–23). Heidelberg, Germany: Springer Berlin.Google Scholar
Posthuma, R. A., & Campion, M. A. (2009). Age stereotypes in the workplace: Common stereotypes, moderators, and future research directions. Journal of Management, 35, 158–188.CrossRefGoogle Scholar
Roberts, B. W. (2018). A revised sociogenomic model of personality traits. Journal of Personality.Google Scholar
Roberts, B. W., O’Donnell, M., & Robins, R. W. (2004). Goal and personality trait development in emerging adulthood. Journal of Personality and Social Psychology, 87, 541–550.Google Scholar
Roberts, B. W., & Robins, R. W. (2004). Person–environment fit and its implications for personality development: A longitudinal study. Journal of Personality, 72, 89–110.Google Scholar
Roberts, B. W., Walton, K. E., & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132, 1–25.Google Scholar
Roberts, B. W., & Wood, D. (2006). Personality development in the context of the neo-socioanalytic model of personality. In Mroczek, D. K. & Little, T. D. (Eds.), Handbook of personality development (pp. 11–39). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Rousseau, D. M. (1995). Psychological contracts in organizations: Written and unwritten agreements. Newbury Park, CA: Sage.Google Scholar
Rousseau, D. M. (1996). Changing the deal while keeping the people. Academy of Management Executive, 10, 50–59.Google Scholar
Rudolph, C. W. (2015). A note on the folly of cross-sectional operationalizations of generations. Industrial and Organizational Psychology, 8, 362–366.Google Scholar
Rudolph, C. W. (2016). Lifespan developmental perspectives on working: A literature review of motivational theories. Work, Aging and Retirement, 2, 130–158.Google Scholar
Rudolph, C. W., & Baltes, B. B. (2017). Age and health jointly moderate the influence of flexible work arrangements on work engagement: Evidence from two empirical studies. Journal of Occupational Health Psychology, 22, 40–58.Google Scholar
Rudolph, C. W., Katz, I. M., Lavigne, K. N., & Zacher, H. (2017). Job crafting: A meta-analysis of relationships with individual differences, job characteristics, and work outcomes. Journal of Vocational Behavior, 102, 112–138.Google Scholar
Rudolph, C. W., Lavigne, K. N., & Zacher, H. (2016). Career adaptability: A meta-analysis of relationships with measures of adaptivity, adapting responses, and adaptation results. Journal of Vocational Behavior, 98, 17–34.Google Scholar
Rudolph, C. W., Marcus, J., & Zacher, H. (2019). Global Issues in Work, Aging, and Retirement. In Shultz, K. & Adams, G. (Eds.), Aging & work in the 21st century (2nd ed.). New York, NY: Routledge/Psychology Press.Google Scholar
Rudolph, C. W., Toomey, E., & Baltes, B. B. (2017). Considering age diversity in recruitment and selection: An expanded work lifespan view of age management. In McCarthy, J. & Parry, E. (Eds.), Handbook of age diversity and work (pp. 607–638). London, UK: Palgrave-Macmillan.Google Scholar
Rudolph, C. W. & Zacher, H. (2015). Intergenerational perceptions and conflicts in multi-age and multigenerational work environments. In Finkelstein, L., Truxillo, D., Fraccaroli, F., F., & Kanfer, R. (Eds.), Facing the challenges of a multi-age workforce: A use-inspired approach (pp. 253–282). New York, NY: Psychology Press.Google Scholar
Rudolph, C. W. & Zacher, H. (2017a). Considering generations from a lifespan developmental perspective. Work, Aging and Retirement, 3, 113–129.Google Scholar
Rudolph, C. W. & Zacher, H. (2017b). Myths and misconceptions about leading generations: Setting the record straight. In Scandura, T. A. & Mouriño, E. (Eds.), Leading diversity in the 21st century (pp. 243–278). Charlotte, NC: Information Age Publishing.Google Scholar
Rudolph, C. W. & Zacher, H. (2018). The kids are alright: Taking stock of generational differences. The Industrial and Organizational Psychologist, 55. http://my.siop.org/tip/jan18/editor/ArtMID/13745/ArticleID/248/The-Kids-Are-Alright-Taking-Stock-of-Generational-Differences-at-WorkGoogle Scholar
Salthouse, T. A. (2012). Consequences of age-related cognitive declines. Annual Review of Psychology, 63, 201–226.Google Scholar
Scheibe, S., & Zacher, H. (2013). A lifespan perspective on emotion regulation, stress, and well-being in the workplace. In Perrewé, P. L., Rosen, C. C., & Halbesleben, J. R. B. (Eds.), The role of emotion and emotion regulation in job stress and well-being (pp. 163–193). Bingley, UK: Emerald Group Publishing Limited.Google Scholar
Schooler, C., Mulatu, M. S., & Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychology and Aging, 14, 483–506.Google Scholar
Shanahan, M. J. (2000). Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annual Review of Sociology, 26, 667–692.Google Scholar
Slagter, F. (2007). Knowledge management among the older workforce. Journal of Knowledge Management, 11, 82–96.Google Scholar
Toomey, E. C., & Rudolph, C. W. (2018). Age-conditional effects in the affective arousal, empathy, and emotional labor linkage: Within-person evidence from an experience sampling study. Work, Aging and Retirement, 4, 145–160.Google Scholar
Truxillo, D. M., Cadiz, D. M., Rineer, J. R., Zaniboni, S., & Fraccaroli, F. (2012). A lifespan perspective on job design: Fitting the job and the worker to promote job satisfaction, engagement, and performance. Organizational Psychology Review, 2, 340–360.Google Scholar
Twenge, J. M., & Campbell, S. M. (2008). Generational differences in psychological traits and their impact on the workplace. Journal of Managerial Psychology, 23, 862–877.Google Scholar
Twenge, J. M., Konrath, S., Foster, J. D., Campbell, W. K., & Bushman, B. J. (2008). Egos inflating over time: A cross‐temporal meta‐analysis of the Narcissistic Personality Inventory. Journal of Personality, 76(4), 875–902.Google Scholar
Upadyaya, K., & Salmela-Aro, K. (2015). Development of early vocational behavior: Parallel associations between career engagement and satisfaction. Journal of Vocational Behavior, 90, 66–74. doi: 10.1016/j.jvb.2015.07.008Google Scholar
Urry, H. L., & Gross, J. J. (2010). Emotion regulation in older age. Current Directions in Psychological Science, 19, 352–357.Google Scholar
Vondracek, F. W., Lerner, R. M., & Schulenberg, J. E. (1986). Career development: A life-span developmental approach. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Walker, A. (2005). The emergence of age management in Europe. International Journal of Organisational Behaviour, 10, 685–697.Google Scholar
Wang, M., Burlacu, G., Truxillo, D., James, K., & Yao, X. (2015). Age differences in feedback reactions: The roles of employee feedback orientation on social awareness and utility. Journal of Applied Psychology, 100, 1296–1308.Google Scholar
Wang, M., & Shi, J. (2014). Psychological research on retirement. Annual Review of Psychology, 65, 209–233.Google Scholar
Wegman, L. A., Hoffman, B. J., Carter, N. T., Twenge, J. M., & Guenole, N. (2018). Placing job characteristics in context: Cross-temporal meta- analysis of changes in job characteristics since 1975. Journal of Management. doi: 10.1177/0149206316654545Google Scholar
Zacher, H. (2015a). Using lifespan developmental theory and methods as a viable alternative to the study of generational differences at work. Industrial and Organizational Psychology, 8, 342–346.Google Scholar
Zacher, H. (2015b). Successful aging at work. Work, Aging and Retirement, 1, 4–25.Google Scholar
Zacher, H., Dirkers, B. T., Korek, S., & Hughes, B. (2017). Age-differential effects of job characteristics on job attraction: A policy-capturing study. Frontiers in Psychology, 8, 1124. doi: 10.3389/psyg.2017.01124CrossRefGoogle ScholarPubMed
Zacher, H., Hacker, W., & Frese, M. (2016). Action regulation across the adult lifespan (ARAL): A meta-theory of work and aging. Work, Aging and Retirement, 2, 286–306.Google Scholar
Zacher, H., Kooij, D. T. A. M., & Beier, M. E. (2018). Active aging at work: Contributing factors and implications for organizations. Organizational Dynamics.Google Scholar
Zaniboni, S., Truxillo, D. M., & Fraccaroli, F. (2013). Differential effects of task variety and skill variety on burnout and turnover intentions for older and younger workers. European Journal of Work and Organizational Psychology, 22, 306–317.Google Scholar
Zwaan, K., ter Bogt, T. F., & Raaijmakers, Q. (2010). Career trajectories of Dutch pop musicians: A longitudinal study. Journal of Vocational Behavior, 77(1), 10–20. doi: 10.1016/j.jvb.2010.03.004Google Scholar

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