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dc.rights.licenseAttribution 4.0 International*
dc.contributorMondragon Goi Eskola Politeknikoa
dc.contributor.otherKoers-Stuiver, D.M.
dc.contributor.otherde Lat, M.B.J
dc.contributor.otherHaaker, T.I.
dc.date.accessioned2024-06-05T15:38:23Z
dc.date.available2024-06-05T15:38:23Z
dc.date.issued2024
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6494
dc.description.abstractThis paper describes the first phase of our research into the influence of language construction and context-specific factors on business model tools for sustainable business models within the advisory process of intermediaries. Employing a longitudinal case study, we follow two intermediaries for a year and combine machine learning methods, participatory principles, and qualitative methods to understand this complex process better. Our research focuses explicitly on intermediaries' role in guiding SMEs using business model tools through this transition. We examine how language construction and contextual factors influence the use of business model tools in the advisory process. By analyzing 196 articles and books on Sustainable Business Model Tools (SBMTs) and business models using Latent Dirichlet Allocation (LDA), our preliminary findings provide a basis to uncover insights that contribute to developing a toolkit to improve intermediaries' support for SMEs while also achieving sustainable change. The dataset resulted in 10-15 potential topics covering innovation, sustainability, customer value, digital transformation, and management processes. Further refinement of our search process and algorithms is needed to specify these topics, emphasizing language construction and context-specific factors for understanding how intermediaries can guide SMEs in adopting sustainable practices effectively.en
dc.language.isoengen
dc.publisherMondragon Unibertsitateaen
dc.rights© 2024 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjecttoolingen
dc.subjectsustainable business modelsen
dc.subjectintermediariesen
dc.subjecttopic modellingen
dc.subjectTHEME 2: Exploring the sectoral and organizational levelen
dc.subjectfull papersen
dc.titleNavigating Sustainable Business Model Transitions Through Tooling, Language, and Context by Intermediaries: A Data Science-Based Longitudinal Case Studyen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.source9th International Conference on New Business Models (NBM2024)en
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.48764/0bhy-c820
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International