Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/312833 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 33 [Issue:] 1 [Article No.:] 39 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023
Verlag: 
Springer, Berlin, Heidelberg
Zusammenfassung: 
Contemporary organizations increasingly adopt conversational agents (CAs) as intelligent and natural language-based solutions for providing services and information. CAs offer new forms of personalization, speed, (cost-)effectiveness, and automation. However, despite their hype in research and practice, many organizations still fail to seize CAs' potential because they lack knowledge of how to evaluate and improve the quality of CAs to sustain them in organizational operations. We aim to fill this knowledge gap by conducting a design science research project in which we aggregate insights from the literature and practice to derive an applicable set of quality criteria for CAs. Our article contributes to CA research and guides practitioners by providing a blueprint to structure the evaluation of CAs and to discover areas for systematic improvement.
Schlagwörter: 
Artificial intelligence assistants
Conversational agents
Chatbots
Quality criteria set
Design science research (DSR)
JEL: 
M15
O32
O33
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
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Dokumentart: 
Article
Dokumentversion: 
Published Version

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