Understanding how aging experiences shape late career development

Fasbender, Ulrike; Vignoli, Michela; Topa, Gabriela

doi:10.1002/cdq.12301

Cited by 11 publications

(3 citation statements)

References 79 publications

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“…Future studies could consider university students from different geographical areas in Italy, and from other international contexts. In addition, future research could be addressed to different participants, such as adult workers [86], older individuals [87] and vulnerable workers [88]. Moreover, additional studies could also refine the psychometric properties of the scale using Item Response Theory Models, which could help reduce the number of items [89,90] for a shorter version of the scale.…”

Section: Discussionmentioning

confidence: 99%

The Eco-Generativity Scale (EGS): A New Resource to Protect the Environment and Promote Health

Di Fabio,

Svicher

2023

IJERPH

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(1) Background: Environmental issues are among society’s most pressing concerns as they can significantly impact the environment and human health. The Eco Generativity Scale (EGS), a 28-item four-factor scale has been introduced to promote a constructive outlook on the matter. It encompasses two types of generativity, namely ecological and social generativity, as well as environmental identity and agency/pathways. The aim of the current study was to examine the EGS’s psychometric properties among 375 Italian university students. (2) Methods: To evaluate the scale’s factor structure, both exploratory and confirmatory factor analyses were conducted. Internal consistency was evaluated via Cronbach’s alphas and McDonald’s omega. Concurrent validity was analyzed with the Positive and Negative Affect Scale (PANAS), Satisfaction with life Scale (SWLS), Meaningful Life Measure (MLM), and Flourishing Scale (FS). (3) Results: The exploratory factor analysis showed the best fit for a four-factor solution. Confirmatory factor analysis revealed that a four-factor higher-order model provided the best fit to the data with good internal consistency. Furthermore, each factor and the total score showed a good concurrent validity with the PANAS, SWLS, MLM, and FS. (4) Conclusions: The Eco-Generativity Scale (EGS) showed good psychometric properties for its use in research and intervention as a promising tool to measure eco-generativity.

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Section: Discussionmentioning

confidence: 99%

The Eco-Generativity Scale (EGS): A New Resource to Protect the Environment and Promote Health

Di Fabio,

Svicher

2023

IJERPH

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“…While these findings seem to support stereotypical views that technology is less popular with increasing age (e.g., Mariano et al, 2020; see also Posthuma & Campion, 2009), the processes behind these findings remain unknown. From the aging literature, we know that there are substantial differences within the group of younger and older employees depending on how employees experience their aging (Fasbender et al, 2019(Fasbender et al, , 2022Kunze et al, 2015;Nagy et al, 2019). For example, research from Drazic and Schermuly (2021) found that age is not per se related to readiness for change but depends on employees' subjective experience of age.…”

Section: Getting Ready For the Future Is It Worth It? A Dual Pathway ...mentioning

confidence: 99%

Getting Ready for the Future, Is It Worth It? A Dual Pathway Model of Age and Technology Acceptance at Work

Fasbender

Gerpott

Rinker

2022

Work, Aging and Retirement

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Rapid technological advancements and global workforce aging shape the future of work. Drawing on the technology acceptance model, our study aims to connect the literature on aging with the research on technology use in organizations. At its heart, the technology acceptance model suggests that the two core components, perceived usefulness and perceived ease of use, predict the attitude toward a new technology. We connect these components with two age-related processes: first, we suggest a motivational pathway via future time perspective, including one’s perceived future opportunities and remaining time at work. Second, we propose a capability pathway via cognitive constraints, including one’s perceived struggle to process new information (i.e., perceived processing speed difficulties) and the perceived struggle to organize one’s work (i.e., perceived organization difficulties). Moreover, we explore digital leadership as a potential buffer to the detrimental relations between age and technology acceptance. We preregistered our hypotheses and tested them using three-wave data from 643 employees. Our findings support our hypotheses for the motivational pathway, showing that age is negatively linked to attitude toward new technology via future time perspective and subsequent perceived usefulness as well as perceived ease of use. Digital leadership buffered the negative indirect relations between age and attitude toward new technology. For the capability pathway, the results were the opposite of what we expected. Together, our findings put the link between age and technology acceptance into a more positive light than previous research and suggest that motivational and capability-related forces are interwoven in predicting attitude toward new technology.

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“…The condition of the Covid-19 pandemic has also affected changes in the work system, causing reduced work motivation, making students who have just graduated less able to take advantage of job opportunities, and resulting in students needing to understand the essence of a career. Junior high school students must have career understanding because it will make a person more careful in matching abilities with work and be a supporting asset for career success (Fasbender et al, 2022;Rosvall, 2020;Salonen, 2020;Spurk & Straub, 2020). However, students need more career awareness from the salary description or job desk (Santi Selviana et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The New Career Awareness Scale for Students on the Covid-19 Pandemic: The Rasch Model

2024

Pegegog

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This study aims to develop an instrument that has not been developed before: a career awareness instrument aimed at students, especially students at the junior high school level. The development of this instrument is to obtain data on the condition of student career awareness during the Covid-19 pandemic. This research uses a type of design and development research. The selection of respondents in this study used a simple random sampling method involving 745 respondents. The developed instrument emphasizes six aspects to determine student career awareness. The data collection technique was applied in the form of a questionnaire. Later, the data was analyzed using the Winstep version of the Rasch Model application, which presents several elements. The results of the Rasch model analysis show that the Chronbach Alpha value is 0.78 with item quality as indicated by the item reliability value of 1.00 (particular category), and the level of consistency of respondents' answers is 0.81 (good category). Furthermore, 30 items are suitable for developing this instrument, as seen from the results of the Outfit MNSQ scores that meet the requirements of the Rasch model.

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Understanding how aging experiences shape late career development

Cited by 11 publications

References 79 publications

The Eco-Generativity Scale (EGS): A New Resource to Protect the Environment and Promote Health

The Eco-Generativity Scale (EGS): A New Resource to Protect the Environment and Promote Health

Getting Ready for the Future, Is It Worth It? A Dual Pathway Model of Age and Technology Acceptance at Work

The New Career Awareness Scale for Students on the Covid-19 Pandemic: The Rasch Model

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