The emergence of business model for digital innovation projects without predetermined usage and market potential

Katerina Antonopoulou, Joe Nandhakumar, Christos Begkos

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Abstract

In this paper we explore the emergence of business model for digital innovation projects without predetermined usage and uncertain market potential. We studied a firm, which was producing and launching digital platforms for managing organizational operations. Drawing on a case study of developing this digital platform, we identified three recurring calculative and narrative practices: ideating; concocting; aligning. We argue that through these practices various epistemic objects (which we call ‘learning catalogue’) were enacted representing the emerging consensus of the usage and market potential for the digital innovation under development, and simultaneously enabling actors to create new knowledge of what was not known. This dynamic learning catalogue represented the constantly evolving implicit business model for value generation. We offer significant contributions to business model studies in
the context of digital innovation projects, and implications for the transformation of the contextual and technical uncertainty into calculable risk.
Original languageEnglish
Title of host publicationProceedings of the 50th Hawaii International Conference on System Sciences
PublisherHICSS
ISBN (Print)978-0-9981331-0-2
DOIs
Publication statusPublished - 2017
Event50th Hawaii International Conference on System Sciences - Waikoloa Village, United States
Duration: 4 Jan 20177 Jan 2017
http://hicss.hawaii.edu/

Conference

Conference50th Hawaii International Conference on System Sciences
Abbreviated titleHICSS 2017
Country/TerritoryUnited States
CityWaikoloa Village
Period4/01/177/01/17
Internet address

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