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      How chatbots' social presence communication enhances consumer engagement: the mediating role of parasocial interaction and dialogue

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      Journal of Research in Interactive Marketing
      Emerald

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          Abstract

          Purpose

          This study presents one of the earliest empirical investigations on how brand chatbots' anthropomorphic design and social presence communication strategies may improve consumer evaluation outcomes via the mediators of parasocial interaction and perceived dialogue.

          Design/methodology/approach

          This study employs a 2 (high vs. low social presence communication) by 2 (anthropomorphic vs. non-anthropomorphic bot profile) between-subject experimental design to evaluate how chatbots' high social presence communication and anthropomorphic profile design may enhance perceptions of parasocial interactions and dialogue with the chatbot, which in turn drive user engagement, interaction satisfaction and attitude toward the represented brand.

          Findings

          The influences of chatbots' high social presence communication on consumer engagement outcomes are mediated by perceived parasocial interaction and dialogue. Additionally, chatbots' anthropomorphic profile design can boost the positive effects of social presence communication via the psychological mediators.

          Originality/value

          This study advances the interactive marketing literature by focusing on an emerging interactive technology, chatbots. Additionally, distinct from prior chatbot studies that focused on the utilitarian use of chatbots for online customer support, this study not only examines which factors of chatbot communication and profile design may drive chatbot effectiveness but also examines the mechanism underlying the messaging and design effects on consumer engagement. The findings highlight the mediating role of interpersonal factors of parasocial interaction and perceived dialogue.

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          Most cited references74

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Multivariate Data Analysis

            For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.
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              Machines and Mindlessness: Social Responses to Computers

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Research in Interactive Marketing
                JRIM
                Emerald
                2040-7122
                June 18 2021
                July 15 2021
                June 18 2021
                July 15 2021
                : 15
                : 3
                : 460-482
                Article
                10.1108/JRIM-12-2019-0200
                ec5b3953-b49a-48e5-97b8-8d65508533ff
                © 2021

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