Drivers of purchase intention in Instagram Commerce

  1. Doaa Herzallah 1
  2. Francisco Muñoz-Leiva 2
  3. Francisco Liebana-Cabanillas 2
  1. 1 University of Derby, Derby, UK
  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Journal:
Spanish journal of marketing-ESIC

ISSN: 2444-9695,  2444-9709

Year of publication: 2022

Volume: 26

Issue: 2

Type: Article

DOI: 10.1108/SJME-03-2022-0043 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Spanish journal of marketing-ESIC

Abstract

Purpose This study aims to analyze the factors that drive purchases via Instagram and contribute to the growth of Instagram Commerce and examine the moderating role of gender, age and experience in Instagram use in the proposed relationship between six variables derived from commitment–trust theory, the technology acceptance model and consumer decision-making theory. Design/methodology/approach A survey was completed by respondents after watching a video about Instagram Commerce. A total of 404 valid responses were collected. The research model was analyzed using partial least squares structural equation modeling. Findings This study makes numerous contributions to Instagram Commerce and holds significant implications for professionals in the social commerce field. Among other results, we found that trust, attitude, perceived usefulness and alternative evaluation significantly affected consumers’ purchase intentions. However, this study found no relationship between trust or ease of use and purchase intention. Finally, it demonstrates the moderating role of gender, age and experience on some of these relationships. Originality/value This research centers on an analysis of consumer purchase behavior on Instagram Commerce, taking a highly innovative approach. The particular originality of this study lies in the proposed model of adoption of social commerce via Instagram, based on a critical framework. This study also provides an original analysis of the moderating effect of the classification variables: gender, age and experience in Instagram use.

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