Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89062
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dc.contributorInstitute of Textiles and Clothingen_US
dc.creatorTo, CKMen_US
dc.creatorChau, KPen_US
dc.creatorKan, CWen_US
dc.date.accessioned2021-02-04T02:28:54Z-
dc.date.available2021-02-04T02:28:54Z-
dc.identifier.issn0148-2963en_US
dc.identifier.urihttp://hdl.handle.net/10397/89062-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2019 Elsevier Inc. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication To, C. K. M., Chau, K. P., & Kan, C. W. (2020). The logic of innovative value proposition: A schema for characterizing and predicting business model evolution. Journal of Business Research, 112, 502-520 is available at https://dx.doi.org/10.1016/j.jbusres.2019.10.023.en_US
dc.subjectBusiness model innovationen_US
dc.subjectDynamics of innovationsen_US
dc.subjectSemiparametric Cox analysis, temporal QCAen_US
dc.titleThe logic of innovative value proposition : a schema for characterizing and predicting business model evolutionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage502en_US
dc.identifier.epage520en_US
dc.identifier.volume112en_US
dc.identifier.doi10.1016/j.jbusres.2019.10.023en_US
dcterms.abstractInnovations in business models involve a dynamic process that makes business values resilient against market and technology changes. We propose a schema that supports predicting the effect of innovation on business model values. The schema redefines the value proposition logic in business model innovations with five primary variables: business dependence structure, business value dominance, innovation dynamics, innovation domains, and innovation-resources-agility. Based on the schema, we have tested a set of hypotheses for 474 cases of business model innovations in four textile processing technology markets. We have estimated and modeled the data using two techniques: Cox modeling and temporal qualitative comparative analysis. The former predicts the business model that is destructed by innovation over time and the latter assesses the configurative conditions for innovation during the destruction period. The findings offer insights for predicting business model innovation as a value creation platform and for predicting innovative business models in industrial technology markets.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of business research, May 2020, v. 112, p. 502-520en_US
dcterms.isPartOfJournal of business researchen_US
dcterms.issued2020-05-
dc.identifier.scopus2-s2.0-85076618874-
dc.identifier.eissn1873-7978en_US
dc.description.validate202102 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0551-n02-
dc.identifier.SubFormID176-
dc.description.fundingSourceRGCen_US
dc.description.fundingText1-ZVLDen_US
dc.description.pubStatusPublisheden_US
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