Research on the Connotation and Dimension of Consumers’ Quantified-Self Consciousness
Hong Jin,
Ying Peng,
Jian Chen and
Seong Taek Park
Additional contact information
Hong Jin: School of Business, Jiangxi Normal University, Nanchang 330022, China
Ying Peng: School of Business, Jiangxi Normal University, Nanchang 330022, China
Jian Chen: School of Business, Jiangxi Normal University, Nanchang 330022, China
Seong Taek Park: Strategy Planning Headquaters, Cheonan Institute of Science & Technology Platform, Cheonan 31035, Korea
Sustainability, 2022, vol. 14, issue 3, 1-15
Abstract:
Quantified-self practice has penetrated into people’s daily life. Academic circles have begun to study it, but at present, scholars have not raised quantified-self practice to the level of consciousness. In order to explore the structural connotation of quantified-self consciousness and then provide management reference for enterprises offering quantified-self services, this study conducted in-depth interviews with self-trackers with the method of grounded theory. The conceptual model of quantified-self consciousness is formed through step-by-step coding, and the theoretical saturation is tested by reserving original sentences and crawling relevant online comments. The model shows that quantified-self consciousness can be divided into three dimensions: individual thinking, social projection, and data sensitivity.
Keywords: quantified-self consciousness; grounded theory; conceptual model; consciousness (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/3/1504/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/3/1504/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:3:p:1504-:d:736229
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().