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Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform

Even the rather traditional consulting industry is not spared from digitization. Digital platforms are known to foster convergence and generativity. For the consulting industry, digital platforms offer the potential to win new customer groups who have not previously purchased consulting services bef...

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Autores principales: Kaselow, Andreas, Petrik, Dimitri, Feja, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510807/
http://dx.doi.org/10.1007/978-3-030-58858-8_7
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author Kaselow, Andreas
Petrik, Dimitri
Feja, Sven
author_facet Kaselow, Andreas
Petrik, Dimitri
Feja, Sven
author_sort Kaselow, Andreas
collection PubMed
description Even the rather traditional consulting industry is not spared from digitization. Digital platforms are known to foster convergence and generativity. For the consulting industry, digital platforms offer the potential to win new customer groups who have not previously purchased consulting services before. If digital platforms for the mediation of consulting services are established by incumbent consulting companies, the new platform-based business models for the consulting market will appear. Since network effects fuel platforms, the launch phase of a platform is a serious challenge. In this paper, we examine the launch of a digital platform for the algorithmic consulting (AC) approach, due to its promising market potential. In order to research the adaptability of digital platforms for AC consulting, we perform a qualitative study of electronic documents on the actions of three successful crowdsourcing platforms. The preliminary results comprise 14 success factors for the platform launch that will be validated in a follow-up practical application. The open nature of platform design in the areas of customer access, cooperation with other platforms, interfaces, and communication appeared to be particularly important for a successful platform launch. All identified success factors can be applied to AC services and the consulting market in the future.
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spelling pubmed-75108072020-09-23 Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform Kaselow, Andreas Petrik, Dimitri Feja, Sven Agile Processes in Software Engineering and Extreme Programming – Workshops Article Even the rather traditional consulting industry is not spared from digitization. Digital platforms are known to foster convergence and generativity. For the consulting industry, digital platforms offer the potential to win new customer groups who have not previously purchased consulting services before. If digital platforms for the mediation of consulting services are established by incumbent consulting companies, the new platform-based business models for the consulting market will appear. Since network effects fuel platforms, the launch phase of a platform is a serious challenge. In this paper, we examine the launch of a digital platform for the algorithmic consulting (AC) approach, due to its promising market potential. In order to research the adaptability of digital platforms for AC consulting, we perform a qualitative study of electronic documents on the actions of three successful crowdsourcing platforms. The preliminary results comprise 14 success factors for the platform launch that will be validated in a follow-up practical application. The open nature of platform design in the areas of customer access, cooperation with other platforms, interfaces, and communication appeared to be particularly important for a successful platform launch. All identified success factors can be applied to AC services and the consulting market in the future. 2020-08-18 /pmc/articles/PMC7510807/ http://dx.doi.org/10.1007/978-3-030-58858-8_7 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Kaselow, Andreas
Petrik, Dimitri
Feja, Sven
Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title_full Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title_fullStr Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title_full_unstemmed Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title_short Exploring the Success Factors for a Launch of an Algorithmic Consulting Platform
title_sort exploring the success factors for a launch of an algorithmic consulting platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510807/
http://dx.doi.org/10.1007/978-3-030-58858-8_7
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