874
Views
4
CrossRef citations to date
0
Altmetric
Research Articles

Decoding men’s behavioral responses toward green cosmetics: an investigation based on the belief decomposition approach

, , &
Pages 2640-2667 | Received 06 Aug 2021, Accepted 05 May 2022, Published online: 27 Jun 2022
 

Abstract

Due to changes in global trends, men’s grooming behavior in relation to their appearance is deemed one of the drivers in the rising popularity of men’s cosmetic products. Unlike previous studies, this study focused on men and aimed to examine the determinants of consumers’ intentions toward buying green cosmetic products by using the belief decomposition approach (BDA) of the theory of planned behavior (TPB). Purposive sampling was employed and 322 valid responses were collected. A PLS-SEM was employed to test the hypotheses. The results demonstrate that attitude (ATT), subjective norm (SN), and perceived behavior control (PBC) positively influence consumers’ intentions. Similarly, nutritional content, health consciousness, and environmental consciousness are positively associated with ATT, but animal welfare has an insignificant association with ATT. In addition, mass media and family influence are positively associated with SN. Moreover, self-efficacy positively influences PBC, but facilitating conditions have an insignificant association with PBC.

Disclosure statement

The authors declared no conflict of interest.

Supplemental data

Supplemental data for this article can be accessed here.

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 675.00 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.