.png){kind=icon}
.png){kind=icon}
Return
Uncovering latent needs in longevity planning: A case study using mixed-methods and system modelling
.png){kind=icon}
OA
AI
S
O
DOI：10.1016/j.destud.2025.101373.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study investigates how a mixed-methods approach and system modelling can uncover latent individual needs and their interrelationships to inform the design of longevity planning services. It employed constructivist grounded theory, exploratory factor analysis, and causal loop diagram (CLD) through 69 in-person experiments in Boston, US, controlling for age, gender, income, and assets. Data collection included pre-and post-experiment surveys, semi-structured interviews, and the integration of grounded theory and factor analysis to enhance CLD's efficacy in addressing longevity planning needs. The study identifies five key factors & horbar;health, lifestyle, social well-being, housing, and quality of life & horbar;and examines their interplay to advance service design. Combining system dynamics with qualitative research, the method captures the connections between sequential events and the complex interrelationships of people, time, and behaviour. The integration of CLD contextualizes data, ensuring a comprehensive understanding of variable interrelationships. This study contributes to design studies through three aspects: 1. An innovative mixed-methods approach integrating grounded theory, factor analysis, and CLD, 2. Advancements in service design research through systemic modelling of user needs, and 3. An emphasis on user-centered design that addresses multidimensional concerns. The findings offer evidence-based insights, enabling design researchers to develop more effective and inclusive longevity planning services and systems, while enriching the theoretical foundation of design for longevity. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:
longevity planning
service design
system thinking
causal loop diagram
mixed-method
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.8
Papers:
757
Citations:
3.5K
Organization
Cited Papers