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      Replaced by a Robot: Service Implications in the Age of the Machine

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          Abstract

          Service organizations, emboldened by the imperative to innovate, are increasingly introducing robots to frontline service encounters. However, as they augment or substitute human employees with robots, they may struggle to convince a distrusting public of their brand’s ethical credentials. Consequently, this article develops and tests a holistic framework to ascertain a deeper understanding of customer perceptions of frontline service robots (FLSRs) than has previously been attempted. Our experimental studies investigate the effects of the (1) role (augmentation or substitution of human employees or no involvement) and (2) type (humanoid FLSR vs. self-service machine) of FLSRs under the following service contexts: (a) value creation model (asset-builder, service provider) and (b) service type (experience, credence). By empirically establishing our framework, we highlight how customers’ personal characteristics ( openness-to-change and preference for ethical/responsible service provider) and cognitive evaluations ( perceived innovativeness, perceived ethical/societal reputation, and perceived innovativeness-responsibility fit) influence the impact that FLSRs have on service experience and brand usage intent. Our findings operationalize and empirically support seminal frameworks from extant literature, as well as elaborate on the positive and negative implications of using robots to complement or replace service employees. Further, we consider managerial and policy implications for service in the age of machines.

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          Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation

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            Artificial Intelligence in Service

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              Statistical mediation analysis with a multicategorical independent variable.

              Virtually all discussions and applications of statistical mediation analysis have been based on the condition that the independent variable is dichotomous or continuous, even though investigators frequently are interested in testing mediation hypotheses involving a multicategorical independent variable (such as two or more experimental conditions relative to a control group). We provide a tutorial illustrating an approach to estimation of and inference about direct, indirect, and total effects in statistical mediation analysis with a multicategorical independent variable. The approach is mathematically equivalent to analysis of (co)variance and reproduces the observed and adjusted group means while also generating effects having simple interpretations. Supplementary material available online includes extensions to this approach and Mplus, SPSS, and SAS code that implements it. © 2013 The British Psychological Society.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Service Research
                Journal of Service Research
                SAGE Publications
                1094-6705
                1552-7379
                February 2021
                June 29 2020
                February 2021
                : 24
                : 1
                : 104-121
                Affiliations
                [1 ]Sheffield University Management School, United Kingdom
                [2 ]Bradford University School of Management, United Kingdom
                [3 ]Lancaster University Management School, United Kingdom
                Article
                10.1177/1094670520933354
                fe0e6ac9-2a7b-4850-80d9-2716d0537ed6
                © 2021

                https://creativecommons.org/licenses/by-nc/4.0/

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