2021
DOI: 10.1108/ejm-09-2019-0748
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Service encounters with virtual agents: an examination of perceived humanness as a source of customer satisfaction

Abstract: Purpose Firms have begun to introduce virtual agents (VAs) in service encounters, both in online and offline environments. Such VAs typically resemble human frontline employees in several ways (e.g. the VAs may have a gender and a name), which indicates the presence of an assumption by VA designers – and by firms that employ them – that VA humanness is a positively charged characteristic. This study aims to address this assumption by examining antecedents to perceived humanness in terms of attribution of agenc… Show more

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Cited by 47 publications
(36 citation statements)
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References 131 publications
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“…Despite business' uptake of this technology, customer responses to virtual service agents have received somewhat limited attention in the marketing and services literature. While some recent articles provide important conceptual contributions (e.g., Grewal & Roggeveen, 2020; Van Doorn et al, 2017; Wirtz et al, 2018), empirical work is relatively scarce (c.f., Mende et al, 2019; Söderlund & Oikarinen, 2021; Yam et al, 2020). Several recent studies have investigated the role of service robots in service failure situations (e.g., Choi et al, 2020), finding that the more “human‐like” robots receive better reactions.…”
Section: Introductionmentioning
confidence: 99%
“…Despite business' uptake of this technology, customer responses to virtual service agents have received somewhat limited attention in the marketing and services literature. While some recent articles provide important conceptual contributions (e.g., Grewal & Roggeveen, 2020; Van Doorn et al, 2017; Wirtz et al, 2018), empirical work is relatively scarce (c.f., Mende et al, 2019; Söderlund & Oikarinen, 2021; Yam et al, 2020). Several recent studies have investigated the role of service robots in service failure situations (e.g., Choi et al, 2020), finding that the more “human‐like” robots receive better reactions.…”
Section: Introductionmentioning
confidence: 99%
“…Chatbots are natural language computer programs that simulate human language and interact with customers with the aid of a text-based dialog (Zumstein and Hundertmark, 2017). In contrast to service robots that have embodiments, they have no embodiment and are only visible to consumers through text in a live chat, resembling SMS exchanges (Söderlund and Oikarinen, 2021). In addition, as they can mimic interpersonal conversations, they are capable of engaging customers on a social level, which distinguishes them from self-service technologies (van Doorn et al, 2017;Pizzi et al, 2021).…”
Section: Literature Review Chatbotsmentioning
confidence: 99%
“…Previous studies show that visual cues, identity cues, gender, and conversational cues (e.g., conversational skill, message interactivity, personality, and conversational style) are useful interventions (e.g., Araujo, 2018;Go and Sundar, 2019;Schuetzler et al, 2020;Borau et al, 2021;Roy and Naidoo, 2021). Recently, the literature began paying attention to the various capabilities that can boost humanness perception, including agency, emotionality, and morality, but few studies actually provide clear guidance on how chatbot should communicate to enhance these perceptions (Söderlund and Oikarinen, 2021). Our findings show that chatbots can enhance perceptions of emotionality (warmth) via social-oriented communication.…”
Section: Theoretical Implicationsmentioning
confidence: 99%
“…In the future studies, the question of how to use human tone of voice in contrast to corporate voice could be applied into recruitment settings consisting of virtual agents, instead of humans, as humanness of virtual agent in general has positive implications on customers in service encounters (Söderlund and Oikarinen 2021). It is good to note that dark humour represents only one element of a human tone of voice and thus, further research is needed to cover different other aspects of human tones of voice in digital recruitment communications.…”
Section: Limitations and Further Researchmentioning
confidence: 99%