Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/307752 
Year of Publication: 
2023
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 33 [Article No.:] 59 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Many assistant systems have evolved toward assistant platforms. These platforms combine a range of resources from various actors via a declarative and generative interface. Among the examples are voice-oriented assistant platforms like Alexa and Siri, as well as text-oriented assistant platforms like ChatGPT and Bard. They have emerged as valuable tools for handling tasks without requiring deeper domain expertise and have received large attention with the present advances in generative artificial intelligence. In view of  their growing popularity, this Fundamental outlines the key characteristics and capabilities that define assistant platforms. The former comprise a multi-platform architecture, a declarative interface, and a multi-platform ecosystem, while the latter include capabilities for composition, integration, prediction, and generativity. Based on this framework, a research agenda is proposed along the capabilities and affordances for assistant platforms.
Subjects: 
Digital platforms
Ecosystems
Generative artificial intelligence (GAI)
Virtual assistants
Multi-platform
JEL: 
L14
L15
L22
M15
O30
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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