Using Proactivity, Time Discounting, and the Theory of Planned Behavior to Identify Predictors of Retirement Planning

Autor/inn/en	Griffin, Barbara; Loe, David; Hesketh, Beryl
Titel	Using Proactivity, Time Discounting, and the Theory of Planned Behavior to Identify Predictors of Retirement Planning
Quelle	In: Educational Gerontology, 38 (2012) 12, S.877-889 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0360-1277
DOI	10.1080/03601277.2012.660857
Schlagwörter	Foreign Countries; Retirement; Planning; Models; Identification; Predictor Variables; Well Being; Motivation; Social Influences; Behavioral Science Research; Futures (of Society); Locus of Control; Attitudes; Time; Gender Differences; Behavior Theories; Older Workers; Individual Characteristics + Suchen Sie Ihr Suchwort? Ausland; Pensionierung; Ablaufplanung; Planungsprozess; Analogiemodell; Identifikation; Identifizierung; Prädiktor; Well-being; Wellness; Wohlbefinden; psychologische; Motivation (psychologisch); Sozialer Einfluss; Future; Society; Zukunft; Attitude; Einstellung; Verhalten; Zeit; Geschlechterkonflikt; Älterer Arbeitnehmer; Personality characteristic; Personality traits; Persönlichkeitsmerkmal
Abstract	This study developed and tested a model to identify the predictors of retirement planning based on an extension of the theory of planned behavior ([TPB], Ajzen, 1991) that included individual differences in proactivity and time discounting. The results showed that personal attitudes, sense of control, social influence, and stable traits have a significant influence on the extent to which late-career workers are engaged in retirement planning over and above the effect of demographic variables. However, some gender differences in the prediction of retirement planning were identified that have important implications for the design of programs and interventions to encourage planning. (Contains 1 table and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10