A Conceptual Model for Assistant Platforms

Alt, Rainer; Zimmermann, Alfred

doi:10.24251/hicss.2021.490

Cited by 12 publications

(14 citation statements)

References 36 publications

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“…The co-creation of value has been identified as a factor for successful platform design [25] and the complex structure of value co-creation in digital ecosystems [25]. A first example of analyzing a concrete platform with an SD-logic theoretical lens is provided in [23]; however, no general framework is given.…”

Section: Model Of Value Co-creation On Transaction Platformsmentioning

confidence: 99%

Leveraging Emergent Social Interactions for Value Co-Creation on Transaction Platforms

Kirchner¹,

Razmerita²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Transaction platforms supporting the exchange of services and products between actor groups are the foundation of many new business models. Attracting enough actors by propositioning value is crucial for the success of transaction platforms. Therefore, the proper design of value creation mechanisms is a pre-condition to be successful. Initially, the focus of value creation was on network effects, but now the interactions between the actors are being examined more closely. Emergent social interactions (ESI) -are initiated by users on their initiative and are not subject to top-down planning. However, their impact on value creation on transaction platforms has not been researched in depth. Therefore, our paper investigates how emergent social interactions con-tribute to value co-creation mechanisms on transaction platforms. We apply a Service-Dominant Logic (S-D logic) theoretical lens and create a framework that describes the impact of emergent social interactions on value co-creation. Our framework integrates the moderation of ESI-based value-co-creation by market properties. Based on the framework, platform designers and entrepreneurs can better decide on the design of transaction platforms in general and the employment of emergent social interactions. Our theoretical contribution paves the way to developing methods for designing transactional platforms using emergent social interactions respecting the context set by market properties.

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Section: Model Of Value Co-creation On Transaction Platformsmentioning

confidence: 99%

Leveraging Emergent Social Interactions for Value Co-Creation on Transaction Platforms

Kirchner¹,

Razmerita²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

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show abstract

“…"skills", "actions", "intents"), but also to share them with other users. For this purpose, assistant platforms comprise a capability repository, where capabilities from various developers are retrieved and activated by users (Schmidt et al, 2021). These platforms impressively show the interlinked nature of platforms or the ecosystem of platforms: while the cognitive AI functionalities for the interpretation and matching of utterances stem from AI platforms, the capabilities may trigger activities on service platforms (e.g.…”

Section: Ai As Digital Platformsmentioning

confidence: 99%

Electronic Markets on digital platforms and AI

Alt

2021

Electron Markets

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“…Following the understanding that information systems are socio-technical in nature, AI-based assistants should be framed as a step toward humanizing technology and working environments. Recent research [8] shows that AI-based assistants evolve towards digital platforms in themselves by creating a rich ecosystem with skill providers, and device vendors. Direct and indirect network effects within and between these groups may be observed [8], which opens further strategic venues for applications in practice and research in academia.…”

Section: Introductionmentioning

confidence: 99%

“…Recent research [8] shows that AI-based assistants evolve towards digital platforms in themselves by creating a rich ecosystem with skill providers, and device vendors. Direct and indirect network effects within and between these groups may be observed [8], which opens further strategic venues for applications in practice and research in academia. The success of AIbased assistants may be described with the various offerings from the big tech providers (e.g.…”

Section: Introductionmentioning

confidence: 99%