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dc.contributor.authorDistelmans, Tineke
dc.date.accessioned2024-02-15T11:16:52Z
dc.date.available2024-02-15T11:16:52Z
dc.date.issued2023en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12127/7390
dc.description.abstractIn today's highly competitive environment, innovation has become crucial for a firm's survival. Therefore, many firms rely on collaborations with external partners for their R&D activities. This dissertation demonstrates the use of text analytics in studying such interfirm (R&D) contracts. In Chapter 1 introduces the use of correlated topic modelling (CTM) algorithm to uncover the contextual richness and framing of contractual clauses. Chapter 2 zooms in on a specific contextual factor, technology maturity, and examines its impact on contract design and the framing of clauses. The final chapter delves into how partner experience influences language customization in contracts. Overall, the findings emphasize the rich dimensionality of contractual language and the significance of textual analysis techniques in unraveling the complexities of interfirm contractual language.en_US
dc.language.isoenen_US
dc.subjectCorrelated Topic Modellingen_US
dc.subjectTechnology Maturityen_US
dc.subjectContractual Languageen_US
dc.titleText analytics to study interfirm contracts; Text analytics to study interfirm contractsen_US
dc.contributor.departmentKU Leuvenen_US
vlerick.knowledgedomainAccounting & Financeen_US
vlerick.supervisorStouthuysen, Kristof
vlerick.supervisorCools, Martine
vlerick.supervisorVan den Abbeele, Alexandra
vlerick.typedissertationDissertation - Collection of articlesen_US
vlerick.vlerickdepartmentAFen_US
dc.identifier.vperid249027en_US


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