5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The e-WOM intention of artificial intelligence (AI) color cosmetics among Chinese social media influencers

      , , , , ,
      Asia Pacific Journal of Marketing and Logistics
      Emerald

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.

          Design/methodology/approach

          An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.

          Findings

          1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.

          Originality/value

          This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.

          Related collections

          Most cited references118

          • Record: found
          • Abstract: not found
          • Article: not found

          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Common method biases in behavioral research: A critical review of the literature and recommended remedies.

            Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Asia Pacific Journal of Marketing and Logistics
                APJML
                Emerald
                1355-5855
                September 01 2022
                June 27 2023
                September 01 2022
                June 27 2023
                : 35
                : 7
                : 1569-1598
                Article
                10.1108/APJML-04-2022-0352
                945bc1d7-9aa8-4c82-8363-e51f9f4122e4
                © 2023

                https://www.emerald.com/insight/site-policies

                History

                Comments

                Comment on this article