Print Email Facebook Twitter An empirical study on the selection of business models using dynamic capability framework as a tool Title An empirical study on the selection of business models using dynamic capability framework as a tool Author Hussain, Yawar (TU Delft Technology, Policy and Management) Contributor Werker, C. (mentor) Janssen, M.F.W.H.A. (mentor) Timm, Jendrik (mentor) Degree granting institution Delft University of Technology Programme Management of Technology (MoT) Date 2019-08-27 Abstract Truly new business models are enabled periodically by a socio-technological disruption and most of the times, firms have to select and refine the already existing models to foster growth and sustain competition. However, the selection process is challenging as there is no right or wrong business model and what works for one firm might not work for the other. The researchers in the field of strategic management advocate that the selection or design of a business model is dependent on the dynamic capabilities of a firm which is unique to it. Teece D.J. (2018) argued that the three clusters of dynamic capability namely sensing, seizing and transforming make a framework which can be used to select or design a business model and maintain a competitive advantage. However, there exists a shortage of empirical studies that furnish granular details on selecting a business model using dynamic capability framework as a tool. Secondly, the inclusion of a value network is important for the selection of a business model but the framework ignores the complexity and advantages of working in a network environment, a common trend in the present business ecosystem. Hence, with this research, we aim to generate empirical insights and details on the selection of a business model using dynamic capability framework as a took by doing a case study on a firm operating in video on demand [VOD] industry. Subject Dynamic CapabilitiesBusiness ModelDynamic Capability Framework To reference this document use: http://resolver.tudelft.nl/uuid:0f5f72dd-5524-4163-a2b6-9653092af78e Embargo date 2020-08-26 Part of collection Student theses Document type master thesis Rights © 2019 Yawar Hussain Files PDF Thesis_final_version.pdf 5.89 MB Close viewer /islandora/object/uuid:0f5f72dd-5524-4163-a2b6-9653092af78e/datastream/OBJ/view