Conceptualizing data-driven entrepreneurship: from knowledge creation to entrepreneurial opportunities and innovation

Mara Grimaldi · Orlando Troisi · Armando Papa · Elbano de Nuccio

26 citations0/0 files storedThe Journal of Technology Transfer

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Entrepreneurship Studies and Influences Big Data and Business Intelligence Digital Innovation in Industries

Abstract

Abstract Digital transformation and the possibility to collect large amount of data, the so-called big data, from different sources can lead to the redefinition of business processes, models and infrastructures. In this respect, data-driven decision making (DDDM) emphasizes the need to rethink management practices to view data as a driving force that can improve the effectiveness of decisions and nurture innovation. Over time, data-driven principles have been reframed as the foundations for the development of a new mind-set that considers data as a key asset that redesigns entrepreneurship and encompasses orientation, culture and human resources management to help entrepreneurs catch, evaluate and launch entrepreneurial opportunities that can improve technology and knowledge by stimulating innovation. For this reason, the study aims at reconceptualizing entrepreneurship according to a multi-levelled perspective based on the integration of cultural, human, knowledge-based and technological dimension to assess the impact of data-driven management on entrepreneurial opportunities creation and on the development of different kinds of innovation. To assess these goals, empirical research based on constructivist grounded theory and on the administration of semi-structured interviews is performed through the investigation of an Italian public–private Consortium specialized in big data. The findings allow the elaboration of a conceptual framework which classifies the activities of data-driven entrepreneurial processes, the phases of opportunity creation and the different kinds of innovation enabled in the Consortium by guiding entrepreneurs and managers in the elaboration of effective data analysis strategies.

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1991Case Study Research: Design and Methods 1968The Discovery of Grounded Theory; Strategies for Qualitative Research 1989Building Theories from Case Study Research 2012Seeking Qualitative Rigor in Inductive Research 2000The Promise of Entrepreneurship as a Field of Research 1996Clarifying the Entrepreneurial Orientation Construct and Linking It To Performance 2001Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 1998Social Capital, Intellectual Capital, and the Organizational Advantage

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