Publication Cover
Leisure Sciences
An Interdisciplinary Journal
Volume 41, 2019 - Issue 4
1,969
Views
25
CrossRef citations to date
0
Altmetric
Articles

Theorizing Leisure's Roles in the Pursuit of Ikigai (Life Worthiness): A Mixed-Methods Approach

, , &
Pages 237-259 | Received 22 Dec 2016, Accepted 28 Jun 2017, Published online: 23 Oct 2017
 

ABSTRACT

The purpose of this mixed-methods research project is to theorize the linkage between leisure experience and life worthiness, or what the Japanese call ikigai. A grounded theory analysis of photo-elicitation interview data from 27 Japanese university students led to the inductive development of a substantive theory. This theory was then tested based on online survey data collected from 669 Japanese students using structural equation modeling. Results indicate that leisure pursuits enhance students’ perception of ikigai when they are valued as enjoyable and/or effortful. Moreover, the balance between overall enjoyment and/or effort is found to be a key mediator in the relationship between valuable leisure experience and life worthiness. Ikigai comprises the subjective perceptions that one's daily life is worth living and that it is full of energy and motivation. Our findings are discussed in light of relevant leisure and well-being theories as well as their implications for practice.

Funding

This project was partially supported by a Sasakawa Sports Research Grant (160A3-011) from the Sasakawa Sports Foundation (Japan) awarded to the third author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 242.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.