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      Friend, mentor, lover: does chatbot engagement lead to psychological dependence?

      , ,
      Journal of Service Management
      Emerald

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          Abstract

          Purpose

          The purpose of this study is to explore customer-artificial intelligence (AI) service technology engagement and relationship development drivers, as well as potential negative consequences in the context of social chatbots.

          Design/methodology/approach

          A sequential mixed-method approach combined exploratory qualitative and confirmatory quantitative analyses. A conceptual model developed from Study 1 qualitative content analysis of in-depth interviews with active users of the AI social chatbot Replika was tested in Study 2 by analyzing survey data obtained from current Replika users.

          Findings

          Loneliness, trust and chatbot personification drive consumer engagement with social chatbots, which fosters relationship development and has the potential to cause chatbot psychological dependence. Attachment to a social chatbot intensifies the positive role of engagement in relationship development with the chatbot.

          Originality/value

          This study was the first to combine qualitative and quantitative approaches to explore drivers, boundary conditions and consequences of relationship and dependence formation with social chatbots. The authors proposed and empirically tested a novel theoretical model that revealed an engagement-based mechanism of relationship and dependence formation with social chatbots.

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          Most cited references100

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          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.
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            When to use and how to report the results of PLS-SEM

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              PLS-SEM: Indeed a Silver Bullet

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                Author and article information

                Contributors
                Journal
                Journal of Service Management
                JOSM
                Emerald
                1757-5818
                May 10 2023
                June 27 2023
                May 10 2023
                June 27 2023
                : 34
                : 4
                : 806-828
                Article
                10.1108/JOSM-02-2022-0072
                c784ebb9-875b-40ba-a33d-3122de80ddcc
                © 2023

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

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