A
Antonio Ghezzi
Researcher at Polytechnic University of Milan
Publications - 114
Citations - 4026
Antonio Ghezzi is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Business model & Computer science. The author has an hindex of 28, co-authored 99 publications receiving 2567 citations. Previous affiliations of Antonio Ghezzi include University of Rio Grande & Instituto Politécnico Nacional.
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Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective
TL;DR: This work develops a conceptual framework that connects Servitization and Industry 4.0 concepts from a business model innovation (BMI) perspective and discusses different levels of complexity for the implementation of these configurations.
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Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches
Antonio Ghezzi,Angelo Cavallo +1 more
TL;DR: In this paper, the theoretical and practical relationship between business model innovation (BMI) and Lean Startup Approaches (LSAs) in dynamic digital environments has been investigated, with the aim of developing a research agenda directed towards integrating BMI, LSAs and AD processes and methods.
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Innovative and sustainable business models in the fashion industry: Entrepreneurial drivers, opportunities, and challenges
Bruna Villa Todeschini,Marcelo Nogueira Cortimiglia,Daniela Callegaro-de-Menezes,Antonio Ghezzi +3 more
TL;DR: In this paper, a systematic review of the literature with empirical research comprised of six interviews with specialists in sustainability, business model innovation, and the fashion industry, along with eight case studies on innovative fashion startups we define as ‘born sustainable.
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Entrepreneurial ecosystem research: present debates and future directions
TL;DR: In this paper, the authors present a critical review on the entrepreneurial ecosystem, starting from its very definition and antecedents, and develop an original set of guidelines that can help scholars and practitioners seeking an answer to the following pressing question: "How can we gain a comprehensive understanding of an entrepreneurial ecosystem?"
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Crowdsourcing: A Review and Suggestions for Future Research
TL;DR: In this article, the authors investigate the existing body of knowledge on crowdsourcing systematically through a penetrating review in which the strengths and weakness of this literature stream are presented clearly and then future avenues of research are set out.