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AI-chatbots on the services frontline addressing the challenges and opportunities of agency

Terrence Chong, Ting Yu, Debbie Isobel Keeling and Ko de Ruyter

Journal of Retailing and Consumer Services, 2021, vol. 63, issue C

Abstract: AI-chatbots as frontline agents promise innovative opportunities for shaping service offerings that benefit customers and retailers. Examining current practice through the lens of agency, as defined by Social Cognitive Theory, we present a 3-level classification of AI-chatbot design (anthropomorphic role, appearance and interactivity) and examine how the combination of these three aspects of chatbot design impacts on the complementarities of agency. Recognizing current implementation challenges, we advance that the complementarities of agency at each level are the lynchpin mechanism that translates AI-chatbot design into service relevant outcomes. We develop a research agenda focused on the emotion interface, resolution of the proxy agency dilemma and development of collective agency to support the implementation of AI-chatbots as frontline service agents.

Keywords: AI-chatbots; Agency; Proxy agent; Services frontline (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:63:y:2021:i:c:s0969698921003015

DOI: 10.1016/j.jretconser.2021.102735

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