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dc.creatorSohl, T. (Timo)-
dc.creatorMcCann, B.T. (Brian T.)-
dc.creatorVroom, G. (Govert)-
dc.date.accessioned2022-12-05T08:03:42Z-
dc.date.available2022-12-05T08:03:42Z-
dc.date.issued2022-12-
dc.identifier.citationTimo Sohl, Brian T. McCann, Govert Vroom, Business model diversification: Demand relatedness, entry sequencing, and curvilinearity in the diversification-performance relationship, Long Range Planning, Volume 55, Issue 6, 2022, 102215, ISSN 0024-6301, https://doi.org/10.1016/j.lrp.2022.102215.es_ES
dc.identifier.issn0024-6301-
dc.identifier.urihttps://hdl.handle.net/10171/64790-
dc.description.abstractThis study integrates research on business model diversification (BMD) and demand-side theory to examine the relationship of BMD to performance and the sequencing of business model additions. We begin by explaining and demonstrating that the overall degree of BMD has an inverted U-shaped relationship with firm performance. We next highlight the particular role that demand relatedness plays in BMD. We first provide evidence that the inverted U-shaped relationship flattens in times of financial shocks, consistent with arguments that the benefits of BMD from consumers’ willingness-to-pay for simultaneous use of multiple business models may diminish during shocks. Second, we argue that firms tend to sequence the addition of new business models based on demand relatedness, and we provide evidence that the degree of demand relatedness between a core and a target business model enhances the likelihood of diversification into that target business model.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectBusiness modeles_ES
dc.subjectDemand relatednesses_ES
dc.subjectDemand-side synergieses_ES
dc.subjectDiversificationes_ES
dc.subjectFirm performancees_ES
dc.titleBusiness model diversification. Demand relatedness, entry sequencing, and curvilinearity in the diversification-performance relationshipes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0024630122000346es_ES
dc.publisher.placeEstados Unidos de Américaes_ES
dc.identifier.doi10.1016/j.lrp.2022.102215-
dadun.citation.number6es_ES
dadun.citation.publicationNameLong Range Planninges_ES
dadun.citation.startingPage102215es_ES
dadun.citation.volume55es_ES

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