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Robotic service quality – Scale development and validation

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  • Prentice, Catherine
  • Nguyen, Mai

Abstract

Viewing robots as service agents that provide services to customers for value exchange, the study developed a scale to measure robotic service quality. The scale underwent several stages of development including item generation, domain specification, scale refinement, and validity testing, including internal and external cross validation. A range of methods were used in this process. Data were collected from Australia, China, and Vietnam to test external validity. Four dimensions were identified to represent robotic service quality. Development of this scale has implications for artificial intelligence and service research. The scale can be used by practitioners to enhance customer experience and generate positive attitudinal and behavioural responses from customers.

Suggested Citation

  • Prentice, Catherine & Nguyen, Mai, 2021. "Robotic service quality – Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:joreco:v:62:y:2021:i:c:s0969698921002277
    DOI: 10.1016/j.jretconser.2021.102661
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    References listed on IDEAS

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    2. Oliveira, Guilherme Gouvea de & Lizarelli, Fabiane Letícia & Teixeira, Jorge Grenha & Mendes, Glauco Henrique de Sousa, 2023. "Curb your enthusiasm: Examining the customer experience with Alexa and its marketing outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    3. Fan, Hua & Han, Bing & Gao, Wei, 2022. "(Im)Balanced customer-oriented behaviors and AI chatbots' Efficiency–Flexibility performance: The moderating role of customers’ rational choices," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).

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